Automated data update (2026-07-19)
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- data/adapter_stats.json +88 -60
- data/global-mmlu-lite/alibaba/qwen3-235b-a22b-instruct-2507/d1df0d6a-cfca-4181-ac6a-098b01c2e15f.json +522 -0
- data/global-mmlu-lite/anthropic/claude-3-5-haiku-20241022/26130f80-b7c2-44ab-a17b-71843f9dd82c.json +522 -0
- data/global-mmlu-lite/anthropic/claude-3-7-sonnet-20250219/71837439-7f44-4487-b892-b6002439adef.json +522 -0
- data/global-mmlu-lite/anthropic/claude-opus-4-1-20250805/d780d3c7-0fcd-4bd6-a038-2595a98a6649.json +522 -0
- data/global-mmlu-lite/anthropic/claude-opus-4-8-default/6f38f62f-ff84-4afb-b8c8-85d95a6d1ac6.json +522 -0
- data/global-mmlu-lite/anthropic/claude-sonnet-4-20250514/32ce03cc-d3a7-43d7-a667-94a72e8bf790.json +522 -0
- data/global-mmlu-lite/cohere/aya-expanse-32b/4c6a5632-6e7e-40bb-8186-31cfb502e8b9.json +522 -0
- data/global-mmlu-lite/cohere/command-a-03-2025/d646d3d5-dc3e-4ad2-a755-188b2248c891.json +522 -0
- data/global-mmlu-lite/deepseek/deepseek-r1-0528/f2e3088b-a842-493a-98d6-936f685cfe2f.json +522 -0
- data/global-mmlu-lite/deepseek/deepseek-v3.1/c31804c8-0907-4af4-8f6b-0179be2df3de.json +519 -0
- data/global-mmlu-lite/google/gemini-2.5-flash-preview-05-20/e4efb991-a192-4b01-9c1c-935f16c38e87.json +522 -0
- data/global-mmlu-lite/google/gemini-2.5-flash/1511c6c9-76d3-4720-a1a7-408679d52d93.json +522 -0
- data/global-mmlu-lite/google/gemini-2.5-pro/a2c9fe32-e42e-469f-8d1a-da0708632bc2.json +522 -0
- data/global-mmlu-lite/google/gemini-3-pro-preview/e6e43961-4069-4b4d-b53d-727d5db897e2.json +522 -0
- data/global-mmlu-lite/google/gemini-3.5-flash/9f8153fa-1a75-4892-9a8e-0cef878347dc.json +522 -0
- data/global-mmlu-lite/google/gemma-3-27b-it/c4c7202d-9bf4-4aa6-868d-a9c7d80e90ee.json +522 -0
- data/global-mmlu-lite/google/gemma-3-4b-it/e2082ef3-9c18-447c-a4a6-738bd98891a9.json +522 -0
- data/global-mmlu-lite/google/gemma-4-26b-a4b-it/1af65a7d-7a74-4eec-90e3-8ae9a3210920.json +522 -0
- data/global-mmlu-lite/google/gemma-4-31b-it/f93e9f3c-9c25-4462-81e7-4b5269593ef6.json +522 -0
- data/global-mmlu-lite/ibm/granite-4.0-h-small/390216d2-631c-4ef6-8f47-a38011372af7.json +522 -0
- data/global-mmlu-lite/mistralai/mistral-medium-3/e6ee7708-2989-496f-ab4d-4e94f790a74a.json +522 -0
- data/global-mmlu-lite/mistralai/mistral-small-2503/2e7d1d0d-c7fb-4827-be1e-78abd2650297.json +522 -0
- data/global-mmlu-lite/openai/gpt-4.1-2025-04-14/7144d7c8-8087-4fbd-bfee-f6cd51f67659.json +522 -0
- data/global-mmlu-lite/openai/gpt-5-2025-08-07/5d198df3-2adc-42e7-baef-00ea70f6d6f1.json +522 -0
- data/global-mmlu-lite/openai/o3-mini-2025-01-31/cf6054ad-221c-4abf-81f3-d2ea7990675b.json +522 -0
- data/global-mmlu-lite/openai/o4-mini-2025-04-16/3004f669-7a6f-46d4-94df-58d969d1c511.json +522 -0
- data/global-mmlu-lite/xai/grok-3-mini/3e74fa90-8196-4797-aeaa-0bb68380b6fe.json +522 -0
- data/global-mmlu-lite/xai/grok-4-0709/e47af5bb-30f7-4f72-9ba5-8a1078dbff16.json +522 -0
- data/rewardbench/0-hero/Matter-0.1-7B-DPO-preview/7f3f5183-5b61-4dc7-a620-eaa9b0283c56.json +134 -0
- data/rewardbench/0-hero/Matter-0.1-7B-boost-DPO-preview/fb8faa36-ef8b-4985-ae30-67d1d4717672.json +134 -0
- data/rewardbench/Ahjeong/MMPO_Gemma_7b/e7870d3a-6a28-4d47-8837-fee650920704.json +134 -0
- data/rewardbench/Ahjeong/MMPO_Gemma_7b_gamma1.1_epoch3/4fdd20f2-2b72-460d-9261-bb6d55bb70b3.json +134 -0
- data/rewardbench/Anthropic/claude-3-5-sonnet-20240620/8896d871-d793-4ba9-b62b-0fc17939a59e.json +116 -0
- data/rewardbench/Anthropic/claude-3-haiku-20240307/d8b35f00-7f3b-4939-ab49-f7ecb51b7e80.json +134 -0
- data/rewardbench/Anthropic/claude-3-opus-20240229/7838efaa-6854-4504-b8b6-f46e05a7eeab.json +116 -0
- data/rewardbench/Anthropic/claude-3-sonnet-20240229/742d8a03-ca2f-41c7-9ed8-fce1d1a2c6b3.json +134 -0
- data/rewardbench/AtlaAI/Selene-1-Mini-Llama-3.1-8B/336ac2c7-86db-4e55-9c78-29e06642e04a.json +116 -0
- data/rewardbench/AtlaAI/Selene-1/e4bac69a-cfe2-49f2-8504-4cc6a085c655.json +116 -0
- data/rewardbench/CIR-AMS/BTRM_Qwen2_7b_0613/28d02d93-6f48-45a7-8b14-1c573dfe3f61.json +152 -0
- data/rewardbench/CIR-AMS/BTRM_Qwen2_7b_0613/9da7aac0-248c-4986-969e-4e2d95894411.json +134 -0
- data/rewardbench/CohereForAI/c4ai-command-r-plus/da5c4646-6bdf-40f2-8f24-29d2159ae0cc.json +134 -0
- data/rewardbench/ContextualAI/LMUnit-llama3.1-70b/4243c872-c375-4e2b-970e-abeb5a1a06e1.json +152 -0
- data/rewardbench/ContextualAI/LMUnit-qwen2.5-72b/d85a9624-b996-40a6-a20c-e0d94af6db3e.json +152 -0
- data/rewardbench/ContextualAI/archangel_sft-dpo_llama13b/f67ad889-1635-444c-910d-2b3422f3845a.json +134 -0
- data/rewardbench/ContextualAI/archangel_sft-dpo_llama30b/67b3a6a2-ba63-46ab-a72f-9cfa1e91e29d.json +134 -0
- data/rewardbench/ContextualAI/archangel_sft-dpo_llama7b/5f06c096-d5fb-4dfb-8114-85f96b5eced1.json +134 -0
- data/rewardbench/ContextualAI/archangel_sft-dpo_pythia1-4b/eab7bea1-a011-4fcc-945d-b627dba0d122.json +134 -0
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- data/rewardbench/ContextualAI/archangel_sft-dpo_pythia2-8b/a174fdbb-06d6-453f-830b-27b0f37a3534.json +134 -0
data/adapter_stats.json
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data/global-mmlu-lite/alibaba/qwen3-235b-a22b-instruct-2507/d1df0d6a-cfca-4181-ac6a-098b01c2e15f.json
ADDED
|
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| 1 |
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data/global-mmlu-lite/anthropic/claude-3-5-haiku-20241022/26130f80-b7c2-44ab-a17b-71843f9dd82c.json
ADDED
|
@@ -0,0 +1,522 @@
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|
| 522 |
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|
data/global-mmlu-lite/anthropic/claude-3-7-sonnet-20250219/71837439-7f44-4487-b892-b6002439adef.json
ADDED
|
@@ -0,0 +1,522 @@
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|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "global-mmlu-lite/anthropic_claude-3-7-sonnet-20250219/1784425452.0738103",
|
| 4 |
+
"retrieved_timestamp": "1784425452.0738103",
|
| 5 |
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"source_metadata": {
|
| 6 |
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"source_name": "Global MMLU Lite Leaderboard",
|
| 7 |
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"source_type": "documentation",
|
| 8 |
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"source_organization_name": "kaggle",
|
| 9 |
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|
| 10 |
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"evaluator_relationship": "third_party"
|
| 11 |
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},
|
| 12 |
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"eval_library": {
|
| 13 |
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"name": "kaggle kernel",
|
| 14 |
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"version": "4",
|
| 15 |
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"additional_details": {
|
| 16 |
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"url": "https://www.kaggle.com/code/shivalikasingh95/global-mmlu-lite-sample-notebook"
|
| 17 |
+
}
|
| 18 |
+
},
|
| 19 |
+
"model_info": {
|
| 20 |
+
"name": "claude-3-7-sonnet-20250219",
|
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|
data/global-mmlu-lite/anthropic/claude-opus-4-1-20250805/d780d3c7-0fcd-4bd6-a038-2595a98a6649.json
ADDED
|
@@ -0,0 +1,522 @@
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| 1 |
+
{
|
| 2 |
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"schema_version": "0.2.2",
|
| 3 |
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"evaluation_id": "global-mmlu-lite/anthropic_claude-opus-4-1-20250805/1784425452.0738103",
|
| 4 |
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"retrieved_timestamp": "1784425452.0738103",
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| 5 |
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|
| 6 |
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|
| 7 |
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| 8 |
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| 9 |
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| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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"model_info": {
|
| 20 |
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"name": "claude-opus-4-1-20250805",
|
| 21 |
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"id": "anthropic/claude-opus-4-1-20250805",
|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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{
|
| 30 |
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"evaluation_name": "Average",
|
| 31 |
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"source_data": {
|
| 32 |
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"dataset_name": "global-mmlu-lite",
|
| 33 |
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|
| 34 |
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"url": [
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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"metric_config": {
|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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|
| 48 |
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},
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| 49 |
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{
|
| 50 |
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"evaluation_name": "Culturally Sensitive",
|
| 51 |
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"source_data": {
|
| 52 |
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"dataset_name": "global-mmlu-lite",
|
| 53 |
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"source_type": "url",
|
| 54 |
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"url": [
|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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"metric_config": {
|
| 59 |
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"evaluation_description": "Global MMLU Lite - Culturally Sensitive",
|
| 60 |
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"lower_is_better": false,
|
| 61 |
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"score_type": "continuous",
|
| 62 |
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"min_score": 0.0,
|
| 63 |
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|
| 64 |
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|
| 65 |
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"score_details": {
|
| 66 |
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"score": 0.9331
|
| 67 |
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|
| 68 |
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|
| 69 |
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{
|
| 70 |
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"evaluation_name": "Culturally Agnostic",
|
| 71 |
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"source_data": {
|
| 72 |
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"dataset_name": "global-mmlu-lite",
|
| 73 |
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"source_type": "url",
|
| 74 |
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"url": [
|
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| 488 |
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| 489 |
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| 490 |
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| 491 |
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| 492 |
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|
| 493 |
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|
| 494 |
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{
|
| 495 |
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"evaluation_name": "Burmese",
|
| 496 |
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|
| 497 |
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|
| 498 |
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|
| 499 |
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|
| 500 |
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|
| 501 |
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|
| 502 |
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|
| 503 |
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|
| 504 |
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| 505 |
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| 506 |
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| 507 |
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|
| 508 |
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|
| 509 |
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|
| 510 |
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|
| 511 |
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|
| 512 |
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| 513 |
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| 514 |
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| 515 |
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| 516 |
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|
| 517 |
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| 518 |
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| 519 |
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|
| 520 |
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|
| 521 |
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|
| 522 |
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|
data/global-mmlu-lite/anthropic/claude-opus-4-8-default/6f38f62f-ff84-4afb-b8c8-85d95a6d1ac6.json
ADDED
|
@@ -0,0 +1,522 @@
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|
| 1 |
+
{
|
| 2 |
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"schema_version": "0.2.2",
|
| 3 |
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"evaluation_id": "global-mmlu-lite/anthropic_claude-opus-4-8-default/1784425452.0738103",
|
| 4 |
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"retrieved_timestamp": "1784425452.0738103",
|
| 5 |
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"source_metadata": {
|
| 6 |
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"source_name": "Global MMLU Lite Leaderboard",
|
| 7 |
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"source_type": "documentation",
|
| 8 |
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"source_organization_name": "kaggle",
|
| 9 |
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"source_organization_url": "www.kaggle.com",
|
| 10 |
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"evaluator_relationship": "third_party"
|
| 11 |
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},
|
| 12 |
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"eval_library": {
|
| 13 |
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"name": "kaggle kernel",
|
| 14 |
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"version": "4",
|
| 15 |
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"additional_details": {
|
| 16 |
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"url": "https://www.kaggle.com/code/shivalikasingh95/global-mmlu-lite-sample-notebook"
|
| 17 |
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}
|
| 18 |
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},
|
| 19 |
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"model_info": {
|
| 20 |
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"name": "claude-opus-4-8-default",
|
| 21 |
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"id": "anthropic/claude-opus-4-8-default",
|
| 22 |
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"developer": "anthropic",
|
| 23 |
+
"inference_platform": "unknown",
|
| 24 |
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"additional_details": {
|
| 25 |
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"display_name": "Claude Opus 4.8"
|
| 26 |
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}
|
| 27 |
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},
|
| 28 |
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"evaluation_results": [
|
| 29 |
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{
|
| 30 |
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"evaluation_name": "Average",
|
| 31 |
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"source_data": {
|
| 32 |
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"dataset_name": "global-mmlu-lite",
|
| 33 |
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"source_type": "url",
|
| 34 |
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"url": [
|
| 35 |
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"https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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"score_type": "continuous",
|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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"score": 94.8541
|
| 47 |
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|
| 48 |
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|
| 49 |
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{
|
| 50 |
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"evaluation_name": "Culturally Sensitive",
|
| 51 |
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"source_data": {
|
| 52 |
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"dataset_name": "global-mmlu-lite",
|
| 53 |
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"source_type": "url",
|
| 54 |
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"url": [
|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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"metric_config": {
|
| 59 |
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"evaluation_description": "Global MMLU Lite - Culturally Sensitive",
|
| 60 |
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|
| 61 |
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"score_type": "continuous",
|
| 62 |
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"min_score": 0.0,
|
| 63 |
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"max_score": 1.0
|
| 64 |
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|
| 65 |
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"score_details": {
|
| 66 |
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"score": 0.9387
|
| 67 |
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|
| 68 |
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|
| 69 |
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{
|
| 70 |
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"evaluation_name": "Culturally Agnostic",
|
| 71 |
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"source_data": {
|
| 72 |
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"dataset_name": "global-mmlu-lite",
|
| 73 |
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"source_type": "url",
|
| 74 |
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"url": [
|
| 75 |
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"https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
|
| 76 |
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|
| 77 |
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|
| 78 |
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"metric_config": {
|
| 79 |
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"evaluation_description": "Global MMLU Lite - Culturally Agnostic",
|
| 80 |
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"lower_is_better": false,
|
| 81 |
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"score_type": "continuous",
|
| 82 |
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"min_score": 0.0,
|
| 83 |
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"max_score": 1.0
|
| 84 |
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|
| 85 |
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"score_details": {
|
| 86 |
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"score": 0.9584
|
| 87 |
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|
| 88 |
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|
| 89 |
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{
|
| 90 |
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"evaluation_name": "Arabic",
|
| 91 |
+
"source_data": {
|
| 92 |
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"dataset_name": "global-mmlu-lite",
|
| 93 |
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"source_type": "url",
|
| 94 |
+
"url": [
|
| 95 |
+
"https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
|
| 96 |
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]
|
| 97 |
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|
| 98 |
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"metric_config": {
|
| 99 |
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"evaluation_description": "Global MMLU Lite - Arabic",
|
| 100 |
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"lower_is_better": false,
|
| 101 |
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"score_type": "continuous",
|
| 102 |
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"min_score": 0.0,
|
| 103 |
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"max_score": 1.0
|
| 104 |
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|
| 105 |
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"score_details": {
|
| 106 |
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"score": 0.9573,
|
| 107 |
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"uncertainty": {
|
| 108 |
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"confidence_interval": {
|
| 109 |
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"lower": -0.0199,
|
| 110 |
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"upper": 0.0199,
|
| 111 |
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"method": "unknown"
|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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{
|
| 117 |
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"evaluation_name": "English",
|
| 118 |
+
"source_data": {
|
| 119 |
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"dataset_name": "global-mmlu-lite",
|
| 120 |
+
"source_type": "url",
|
| 121 |
+
"url": [
|
| 122 |
+
"https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
|
| 123 |
+
]
|
| 124 |
+
},
|
| 125 |
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"metric_config": {
|
| 126 |
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"evaluation_description": "Global MMLU Lite - English",
|
| 127 |
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"lower_is_better": false,
|
| 128 |
+
"score_type": "continuous",
|
| 129 |
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data/global-mmlu-lite/anthropic/claude-sonnet-4-20250514/32ce03cc-d3a7-43d7-a667-94a72e8bf790.json
ADDED
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|
| 1 |
+
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|
| 2 |
+
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|
| 3 |
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"evaluation_id": "global-mmlu-lite/anthropic_claude-sonnet-4-20250514/1784425452.0738103",
|
| 4 |
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|
| 5 |
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"source_metadata": {
|
| 6 |
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"source_name": "Global MMLU Lite Leaderboard",
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| 7 |
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|
| 8 |
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|
| 9 |
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| 10 |
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|
| 11 |
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| 12 |
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| 13 |
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|
| 14 |
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| 15 |
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| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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"name": "claude-sonnet-4-20250514",
|
| 21 |
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"id": "anthropic/claude-sonnet-4-20250514",
|
| 22 |
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|
| 23 |
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"inference_platform": "unknown",
|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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"dataset_name": "global-mmlu-lite",
|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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| 69 |
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|
| 70 |
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| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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| 76 |
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|
| 77 |
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|
| 78 |
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| 81 |
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|
| 82 |
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| 83 |
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|
| 84 |
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| 85 |
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| 86 |
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| 87 |
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|
| 88 |
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| 89 |
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|
| 90 |
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|
| 91 |
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| 92 |
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"dataset_name": "global-mmlu-lite",
|
| 93 |
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|
| 94 |
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| 95 |
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| 96 |
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| 97 |
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| 98 |
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| 99 |
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| 100 |
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|
| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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| 106 |
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|
| 108 |
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|
| 110 |
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|
| 112 |
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| 113 |
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| 114 |
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|
| 115 |
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| 116 |
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| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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| 122 |
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| 123 |
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| 124 |
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| 125 |
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| 126 |
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| 127 |
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| 128 |
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| 129 |
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| 132 |
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| 133 |
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|
| 134 |
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|
| 135 |
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| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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| 143 |
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|
| 144 |
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| 145 |
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| 146 |
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|
| 147 |
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| 148 |
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| 149 |
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| 154 |
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| 156 |
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|
| 166 |
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| 168 |
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| 169 |
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| 170 |
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| 171 |
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| 172 |
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| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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| 177 |
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| 179 |
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| 180 |
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| 181 |
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| 183 |
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| 184 |
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|
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data/global-mmlu-lite/cohere/aya-expanse-32b/4c6a5632-6e7e-40bb-8186-31cfb502e8b9.json
ADDED
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@@ -0,0 +1,522 @@
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| 1 |
+
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|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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"source_metadata": {
|
| 6 |
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|
| 7 |
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| 8 |
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| 9 |
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| 10 |
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|
| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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|
| 18 |
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| 19 |
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|
| 20 |
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|
| 21 |
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"id": "cohere/aya-expanse-32b",
|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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|
| 48 |
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| 49 |
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|
| 50 |
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|
| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 67 |
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| 73 |
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| 93 |
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| 94 |
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| 113 |
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| 114 |
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| 115 |
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| 116 |
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| 117 |
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| 118 |
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| 119 |
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| 120 |
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|
| 121 |
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| 122 |
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| 123 |
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| 124 |
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| 127 |
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| 129 |
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| 135 |
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| 136 |
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| 137 |
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| 138 |
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|
| 139 |
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| 140 |
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| 141 |
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| 142 |
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| 143 |
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| 144 |
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| 145 |
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| 146 |
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| 147 |
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| 148 |
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| 154 |
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| 175 |
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| 196 |
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| 197 |
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| 198 |
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| 199 |
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| 200 |
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|
| 202 |
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|
data/global-mmlu-lite/cohere/command-a-03-2025/d646d3d5-dc3e-4ad2-a755-188b2248c891.json
ADDED
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@@ -0,0 +1,522 @@
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| 1 |
+
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|
| 2 |
+
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|
| 3 |
+
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|
| 4 |
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|
| 5 |
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"source_metadata": {
|
| 6 |
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|
| 7 |
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| 8 |
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|
| 9 |
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| 10 |
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|
| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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|
| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 36 |
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| 42 |
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| 45 |
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| 46 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 53 |
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| 54 |
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| 55 |
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| 62 |
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| 73 |
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| 93 |
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| 94 |
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| 116 |
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| 119 |
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| 120 |
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| 122 |
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| 143 |
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| 175 |
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| 176 |
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| 197 |
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| 198 |
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| 199 |
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| 200 |
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| 202 |
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| 203 |
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|
data/global-mmlu-lite/deepseek/deepseek-r1-0528/f2e3088b-a842-493a-98d6-936f685cfe2f.json
ADDED
|
@@ -0,0 +1,522 @@
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|
data/global-mmlu-lite/deepseek/deepseek-v3.1/c31804c8-0907-4af4-8f6b-0179be2df3de.json
ADDED
|
@@ -0,0 +1,519 @@
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|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "global-mmlu-lite/deepseek_deepseek-v3.1/1784425452.0738103",
|
| 4 |
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"retrieved_timestamp": "1784425452.0738103",
|
| 5 |
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"source_metadata": {
|
| 6 |
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"source_name": "Global MMLU Lite Leaderboard",
|
| 7 |
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"source_type": "documentation",
|
| 8 |
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"source_organization_name": "kaggle",
|
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data/global-mmlu-lite/google/gemini-2.5-flash-preview-05-20/e4efb991-a192-4b01-9c1c-935f16c38e87.json
ADDED
|
@@ -0,0 +1,522 @@
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|
| 1 |
+
{
|
| 2 |
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"schema_version": "0.2.2",
|
| 3 |
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"evaluation_id": "global-mmlu-lite/google_gemini-2.5-flash-preview-05-20/1784425452.0738103",
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| 4 |
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| 5 |
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|
| 6 |
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|
| 7 |
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| 8 |
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| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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"model_info": {
|
| 20 |
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"name": "gemini-2.5-flash-preview-05-20",
|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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"evaluation_results": [
|
| 29 |
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{
|
| 30 |
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"evaluation_name": "Average",
|
| 31 |
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|
| 32 |
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"dataset_name": "global-mmlu-lite",
|
| 33 |
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|
| 34 |
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"url": [
|
| 35 |
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|
| 36 |
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]
|
| 37 |
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|
| 38 |
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| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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|
| 48 |
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},
|
| 49 |
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{
|
| 50 |
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"evaluation_name": "Culturally Sensitive",
|
| 51 |
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"source_data": {
|
| 52 |
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"dataset_name": "global-mmlu-lite",
|
| 53 |
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|
| 54 |
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"url": [
|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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"metric_config": {
|
| 59 |
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"evaluation_description": "Global MMLU Lite - Culturally Sensitive",
|
| 60 |
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"lower_is_better": false,
|
| 61 |
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"score_type": "continuous",
|
| 62 |
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"min_score": 0.0,
|
| 63 |
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"max_score": 1.0
|
| 64 |
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| 478 |
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| 479 |
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| 480 |
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| 482 |
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| 484 |
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| 486 |
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| 490 |
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| 494 |
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|
| 495 |
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| 496 |
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| 497 |
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| 498 |
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| 499 |
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|
| 500 |
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|
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| 502 |
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| 503 |
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|
data/global-mmlu-lite/google/gemini-2.5-flash/1511c6c9-76d3-4720-a1a7-408679d52d93.json
ADDED
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@@ -0,0 +1,522 @@
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| 1 |
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{
|
| 2 |
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"schema_version": "0.2.2",
|
| 3 |
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"evaluation_id": "global-mmlu-lite/google_gemini-2.5-flash/1784425452.0738103",
|
| 4 |
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|
| 5 |
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"source_metadata": {
|
| 6 |
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|
| 7 |
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| 8 |
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| 9 |
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| 10 |
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|
| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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| 39 |
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| 40 |
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| 42 |
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| 48 |
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| 49 |
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{
|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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"score": 0.9
|
| 67 |
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|
| 68 |
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|
| 69 |
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{
|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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"evaluation_description": "Global MMLU Lite - Culturally Agnostic",
|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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{
|
| 90 |
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"evaluation_name": "Arabic",
|
| 91 |
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"source_data": {
|
| 92 |
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"dataset_name": "global-mmlu-lite",
|
| 93 |
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"source_type": "url",
|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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{
|
| 117 |
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"evaluation_name": "English",
|
| 118 |
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"source_data": {
|
| 119 |
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"dataset_name": "global-mmlu-lite",
|
| 120 |
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"source_type": "url",
|
| 121 |
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|
data/global-mmlu-lite/google/gemini-2.5-pro/a2c9fe32-e42e-469f-8d1a-da0708632bc2.json
ADDED
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|
| 1 |
+
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|
| 2 |
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|
| 3 |
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|
| 4 |
+
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|
| 5 |
+
"source_metadata": {
|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
+
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|
| 10 |
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|
| 11 |
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| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
+
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|
| 18 |
+
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|
| 19 |
+
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|
| 20 |
+
"name": "gemini-2.5-pro",
|
| 21 |
+
"id": "google/gemini-2.5-pro",
|
| 22 |
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|
| 23 |
+
"inference_platform": "unknown",
|
| 24 |
+
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|
| 25 |
+
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|
| 26 |
+
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|
| 27 |
+
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|
| 28 |
+
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|
| 29 |
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{
|
| 30 |
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"evaluation_name": "Average",
|
| 31 |
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|
| 32 |
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|
| 33 |
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"source_type": "url",
|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
+
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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"evaluation_name": "Culturally Sensitive",
|
| 51 |
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"source_data": {
|
| 52 |
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"dataset_name": "global-mmlu-lite",
|
| 53 |
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"source_type": "url",
|
| 54 |
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|
| 55 |
+
"https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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"evaluation_description": "Global MMLU Lite - Culturally Sensitive",
|
| 60 |
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|
| 61 |
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"score_type": "continuous",
|
| 62 |
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"min_score": 0.0,
|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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"dataset_name": "global-mmlu-lite",
|
| 73 |
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"source_type": "url",
|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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"evaluation_description": "Global MMLU Lite - Culturally Agnostic",
|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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"dataset_name": "global-mmlu-lite",
|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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{
|
| 117 |
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"evaluation_name": "English",
|
| 118 |
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|
| 119 |
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"dataset_name": "global-mmlu-lite",
|
| 120 |
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"source_type": "url",
|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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"evaluation_description": "Global MMLU Lite - English",
|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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"lower": -0.0254,
|
| 137 |
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"upper": 0.0254,
|
| 138 |
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"method": "unknown"
|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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{
|
| 144 |
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"evaluation_name": "Bengali",
|
| 145 |
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|
| 146 |
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"dataset_name": "global-mmlu-lite",
|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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| 153 |
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| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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|
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|
| 159 |
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|
| 160 |
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|
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| 163 |
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| 164 |
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| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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| 169 |
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|
| 170 |
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|
| 171 |
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|
| 172 |
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|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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|
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data/global-mmlu-lite/google/gemini-3-pro-preview/e6e43961-4069-4b4d-b53d-727d5db897e2.json
ADDED
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@@ -0,0 +1,522 @@
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| 1 |
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| 2 |
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|
| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 13 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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| 28 |
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| 29 |
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| 30 |
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|
| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 36 |
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| 38 |
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| 39 |
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| 40 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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|
| 48 |
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| 49 |
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|
| 50 |
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|
| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 60 |
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| 61 |
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| 62 |
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| 73 |
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| 114 |
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| 116 |
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| 117 |
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| 118 |
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| 119 |
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| 121 |
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| 122 |
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| 123 |
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| 127 |
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| 129 |
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| 135 |
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| 136 |
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|
| 139 |
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| 140 |
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| 141 |
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| 142 |
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| 143 |
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| 144 |
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| 145 |
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| 146 |
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| 147 |
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| 148 |
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| 197 |
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| 198 |
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| 199 |
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| 200 |
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| 202 |
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| 203 |
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|
data/global-mmlu-lite/google/gemini-3.5-flash/9f8153fa-1a75-4892-9a8e-0cef878347dc.json
ADDED
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@@ -0,0 +1,522 @@
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| 1 |
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| 2 |
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|
data/global-mmlu-lite/google/gemma-3-27b-it/c4c7202d-9bf4-4aa6-868d-a9c7d80e90ee.json
ADDED
|
@@ -0,0 +1,522 @@
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|
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|
data/global-mmlu-lite/google/gemma-3-4b-it/e2082ef3-9c18-447c-a4a6-738bd98891a9.json
ADDED
|
@@ -0,0 +1,522 @@
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| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
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| 414 |
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| 418 |
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| 419 |
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data/global-mmlu-lite/google/gemma-4-26b-a4b-it/1af65a7d-7a74-4eec-90e3-8ae9a3210920.json
ADDED
|
@@ -0,0 +1,522 @@
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|
| 1 |
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{
|
| 2 |
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"schema_version": "0.2.2",
|
| 3 |
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"evaluation_id": "global-mmlu-lite/google_gemma-4-26b-a4b-it/1784425452.0738103",
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| 4 |
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| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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"model_info": {
|
| 20 |
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"name": "gemma-4-26b-a4b-it",
|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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"evaluation_results": [
|
| 29 |
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{
|
| 30 |
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"evaluation_name": "Average",
|
| 31 |
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"source_data": {
|
| 32 |
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"dataset_name": "global-mmlu-lite",
|
| 33 |
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|
| 34 |
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"url": [
|
| 35 |
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|
| 36 |
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]
|
| 37 |
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},
|
| 38 |
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"metric_config": {
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| 39 |
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"evaluation_description": "Global MMLU Lite - Average",
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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}
|
| 48 |
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},
|
| 49 |
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{
|
| 50 |
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"evaluation_name": "Culturally Sensitive",
|
| 51 |
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"source_data": {
|
| 52 |
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"dataset_name": "global-mmlu-lite",
|
| 53 |
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|
| 54 |
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| 467 |
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|
| 468 |
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| 469 |
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| 470 |
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| 471 |
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| 472 |
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|
| 473 |
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|
| 474 |
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|
| 475 |
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| 476 |
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| 477 |
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| 478 |
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| 479 |
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| 480 |
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| 481 |
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| 484 |
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| 486 |
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| 487 |
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| 489 |
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| 490 |
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| 491 |
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| 492 |
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|
| 493 |
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| 494 |
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{
|
| 495 |
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| 496 |
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|
| 497 |
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"dataset_name": "global-mmlu-lite",
|
| 498 |
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|
| 499 |
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|
| 500 |
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|
| 501 |
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|
| 502 |
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|
| 503 |
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|
| 504 |
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| 505 |
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| 506 |
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| 507 |
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| 508 |
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|
| 509 |
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| 510 |
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| 511 |
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| 517 |
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| 520 |
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| 521 |
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|
| 522 |
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|
data/global-mmlu-lite/google/gemma-4-31b-it/f93e9f3c-9c25-4462-81e7-4b5269593ef6.json
ADDED
|
@@ -0,0 +1,522 @@
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|
| 1 |
+
{
|
| 2 |
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"schema_version": "0.2.2",
|
| 3 |
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"evaluation_id": "global-mmlu-lite/google_gemma-4-31b-it/1784425452.0738103",
|
| 4 |
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"retrieved_timestamp": "1784425452.0738103",
|
| 5 |
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"source_metadata": {
|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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"model_info": {
|
| 20 |
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"name": "gemma-4-31b-it",
|
| 21 |
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"id": "google/gemma-4-31b-it",
|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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"evaluation_results": [
|
| 29 |
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{
|
| 30 |
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|
| 31 |
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|
| 32 |
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"dataset_name": "global-mmlu-lite",
|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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{
|
| 50 |
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"evaluation_name": "Culturally Sensitive",
|
| 51 |
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"source_data": {
|
| 52 |
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"dataset_name": "global-mmlu-lite",
|
| 53 |
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"source_type": "url",
|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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"metric_config": {
|
| 59 |
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"evaluation_description": "Global MMLU Lite - Culturally Sensitive",
|
| 60 |
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|
| 61 |
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"score_type": "continuous",
|
| 62 |
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"min_score": 0.0,
|
| 63 |
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|
| 64 |
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|
| 65 |
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"score_details": {
|
| 66 |
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"score": 0.8925
|
| 67 |
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|
| 68 |
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|
| 69 |
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{
|
| 70 |
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"evaluation_name": "Culturally Agnostic",
|
| 71 |
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"source_data": {
|
| 72 |
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"dataset_name": "global-mmlu-lite",
|
| 73 |
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"source_type": "url",
|
| 74 |
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"url": [
|
| 75 |
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"https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
|
| 76 |
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|
| 77 |
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|
| 78 |
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"metric_config": {
|
| 79 |
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"evaluation_description": "Global MMLU Lite - Culturally Agnostic",
|
| 80 |
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|
| 81 |
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"score_type": "continuous",
|
| 82 |
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"min_score": 0.0,
|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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"score": 0.9212
|
| 87 |
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|
| 88 |
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|
| 89 |
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{
|
| 90 |
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"evaluation_name": "Arabic",
|
| 91 |
+
"source_data": {
|
| 92 |
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"dataset_name": "global-mmlu-lite",
|
| 93 |
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"source_type": "url",
|
| 94 |
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"url": [
|
| 95 |
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"https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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"evaluation_description": "Global MMLU Lite - Arabic",
|
| 100 |
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|
| 101 |
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"score_type": "continuous",
|
| 102 |
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"min_score": 0.0,
|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
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data/global-mmlu-lite/ibm/granite-4.0-h-small/390216d2-631c-4ef6-8f47-a38011372af7.json
ADDED
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@@ -0,0 +1,522 @@
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|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "global-mmlu-lite/ibm_granite-4.0-h-small/1784425452.0738103",
|
| 4 |
+
"retrieved_timestamp": "1784425452.0738103",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "Global MMLU Lite Leaderboard",
|
| 7 |
+
"source_type": "documentation",
|
| 8 |
+
"source_organization_name": "kaggle",
|
| 9 |
+
"source_organization_url": "www.kaggle.com",
|
| 10 |
+
"evaluator_relationship": "third_party"
|
| 11 |
+
},
|
| 12 |
+
"eval_library": {
|
| 13 |
+
"name": "kaggle kernel",
|
| 14 |
+
"version": "4",
|
| 15 |
+
"additional_details": {
|
| 16 |
+
"url": "https://www.kaggle.com/code/shivalikasingh95/global-mmlu-lite-sample-notebook"
|
| 17 |
+
}
|
| 18 |
+
},
|
| 19 |
+
"model_info": {
|
| 20 |
+
"name": "granite-4.0-h-small",
|
| 21 |
+
"id": "ibm/granite-4.0-h-small",
|
| 22 |
+
"developer": "ibm",
|
| 23 |
+
"inference_platform": "unknown",
|
| 24 |
+
"additional_details": {
|
| 25 |
+
"display_name": "Granite 4.0 Small"
|
| 26 |
+
}
|
| 27 |
+
},
|
| 28 |
+
"evaluation_results": [
|
| 29 |
+
{
|
| 30 |
+
"evaluation_name": "Average",
|
| 31 |
+
"source_data": {
|
| 32 |
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"dataset_name": "global-mmlu-lite",
|
| 33 |
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"source_type": "url",
|
| 34 |
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"url": [
|
| 35 |
+
"https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
|
| 36 |
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]
|
| 37 |
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},
|
| 38 |
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"metric_config": {
|
| 39 |
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"evaluation_description": "Global MMLU Lite - Average",
|
| 40 |
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"lower_is_better": false,
|
| 41 |
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"score_type": "continuous",
|
| 42 |
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"min_score": 0.0,
|
| 43 |
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"max_score": 1.0
|
| 44 |
+
},
|
| 45 |
+
"score_details": {
|
| 46 |
+
"score": 75.0348
|
| 47 |
+
}
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"evaluation_name": "Culturally Sensitive",
|
| 51 |
+
"source_data": {
|
| 52 |
+
"dataset_name": "global-mmlu-lite",
|
| 53 |
+
"source_type": "url",
|
| 54 |
+
"url": [
|
| 55 |
+
"https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
|
| 56 |
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]
|
| 57 |
+
},
|
| 58 |
+
"metric_config": {
|
| 59 |
+
"evaluation_description": "Global MMLU Lite - Culturally Sensitive",
|
| 60 |
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"lower_is_better": false,
|
| 61 |
+
"score_type": "continuous",
|
| 62 |
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"min_score": 0.0,
|
| 63 |
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"max_score": 1.0
|
| 64 |
+
},
|
| 65 |
+
"score_details": {
|
| 66 |
+
"score": 0.7182
|
| 67 |
+
}
|
| 68 |
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},
|
| 69 |
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{
|
| 70 |
+
"evaluation_name": "Culturally Agnostic",
|
| 71 |
+
"source_data": {
|
| 72 |
+
"dataset_name": "global-mmlu-lite",
|
| 73 |
+
"source_type": "url",
|
| 74 |
+
"url": [
|
| 75 |
+
"https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
|
| 76 |
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]
|
| 77 |
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},
|
| 78 |
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"metric_config": {
|
| 79 |
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"evaluation_description": "Global MMLU Lite - Culturally Agnostic",
|
| 80 |
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"lower_is_better": false,
|
| 81 |
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"score_type": "continuous",
|
| 82 |
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"min_score": 0.0,
|
| 83 |
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"max_score": 1.0
|
| 84 |
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},
|
| 85 |
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"score_details": {
|
| 86 |
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"score": 0.7826
|
| 87 |
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}
|
| 88 |
+
},
|
| 89 |
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{
|
| 90 |
+
"evaluation_name": "Arabic",
|
| 91 |
+
"source_data": {
|
| 92 |
+
"dataset_name": "global-mmlu-lite",
|
| 93 |
+
"source_type": "url",
|
| 94 |
+
"url": [
|
| 95 |
+
"https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
|
| 96 |
+
]
|
| 97 |
+
},
|
| 98 |
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"metric_config": {
|
| 99 |
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"evaluation_description": "Global MMLU Lite - Arabic",
|
| 100 |
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"lower_is_better": false,
|
| 101 |
+
"score_type": "continuous",
|
| 102 |
+
"min_score": 0.0,
|
| 103 |
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"max_score": 1.0
|
| 104 |
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|
| 105 |
+
"score_details": {
|
| 106 |
+
"score": 0.7613,
|
| 107 |
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"uncertainty": {
|
| 108 |
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"confidence_interval": {
|
| 109 |
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"lower": -0.0419,
|
| 110 |
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"upper": 0.0419,
|
| 111 |
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"method": "unknown"
|
| 112 |
+
}
|
| 113 |
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}
|
| 114 |
+
}
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"evaluation_name": "English",
|
| 118 |
+
"source_data": {
|
| 119 |
+
"dataset_name": "global-mmlu-lite",
|
| 120 |
+
"source_type": "url",
|
| 121 |
+
"url": [
|
| 122 |
+
"https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
|
| 123 |
+
]
|
| 124 |
+
},
|
| 125 |
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"metric_config": {
|
| 126 |
+
"evaluation_description": "Global MMLU Lite - English",
|
| 127 |
+
"lower_is_better": false,
|
| 128 |
+
"score_type": "continuous",
|
| 129 |
+
"min_score": 0.0,
|
| 130 |
+
"max_score": 1.0
|
| 131 |
+
},
|
| 132 |
+
"score_details": {
|
| 133 |
+
"score": 0.77,
|
| 134 |
+
"uncertainty": {
|
| 135 |
+
"confidence_interval": {
|
| 136 |
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"lower": -0.0412,
|
| 137 |
+
"upper": 0.0412,
|
| 138 |
+
"method": "unknown"
|
| 139 |
+
}
|
| 140 |
+
}
|
| 141 |
+
}
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"evaluation_name": "Bengali",
|
| 145 |
+
"source_data": {
|
| 146 |
+
"dataset_name": "global-mmlu-lite",
|
| 147 |
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"source_type": "url",
|
| 148 |
+
"url": [
|
| 149 |
+
"https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
|
| 150 |
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]
|
| 151 |
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},
|
| 152 |
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"metric_config": {
|
| 153 |
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"evaluation_description": "Global MMLU Lite - Bengali",
|
| 154 |
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"lower_is_better": false,
|
| 155 |
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"score_type": "continuous",
|
| 156 |
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"min_score": 0.0,
|
| 157 |
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"max_score": 1.0
|
| 158 |
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},
|
| 159 |
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"score_details": {
|
| 160 |
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"score": 0.7613,
|
| 161 |
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"uncertainty": {
|
| 162 |
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"confidence_interval": {
|
| 163 |
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"lower": -0.0419,
|
| 164 |
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ADDED
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@@ -0,0 +1,522 @@
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|
| 1 |
+
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|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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"source_metadata": {
|
| 6 |
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|
| 7 |
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| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
+
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|
| 20 |
+
"name": "mistral-medium-3",
|
| 21 |
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"id": "mistralai/mistral-medium-3",
|
| 22 |
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|
| 23 |
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"inference_platform": "unknown",
|
| 24 |
+
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|
| 25 |
+
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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"evaluation_name": "Average",
|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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| 80 |
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| 81 |
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|
| 82 |
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| 83 |
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| 84 |
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|
| 85 |
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| 86 |
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|
| 88 |
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| 89 |
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|
| 90 |
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|
| 91 |
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| 92 |
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| 93 |
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|
| 94 |
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|
| 95 |
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| 96 |
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|
| 97 |
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|
| 98 |
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| 99 |
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| 100 |
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|
| 101 |
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| 102 |
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| 105 |
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| 106 |
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|
| 108 |
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| 109 |
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|
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| 111 |
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|
| 112 |
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| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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{
|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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"url": [
|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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| 134 |
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|
| 135 |
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| 136 |
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"lower": -0.0476,
|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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| 147 |
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|
| 148 |
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| 149 |
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| 150 |
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| 154 |
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| 156 |
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| 166 |
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| 169 |
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| 170 |
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| 171 |
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| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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| 178 |
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|
| 179 |
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| 180 |
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| 181 |
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| 182 |
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| 183 |
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| 184 |
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| 193 |
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| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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|
| 205 |
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|
| 206 |
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| 208 |
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|
| 210 |
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| 211 |
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|
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|
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|
| 223 |
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data/global-mmlu-lite/mistralai/mistral-small-2503/2e7d1d0d-c7fb-4827-be1e-78abd2650297.json
ADDED
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@@ -0,0 +1,522 @@
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| 1 |
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| 2 |
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| 4 |
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| 5 |
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| 24 |
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| 25 |
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|
data/global-mmlu-lite/openai/gpt-4.1-2025-04-14/7144d7c8-8087-4fbd-bfee-f6cd51f67659.json
ADDED
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@@ -0,0 +1,522 @@
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|
data/global-mmlu-lite/openai/gpt-5-2025-08-07/5d198df3-2adc-42e7-baef-00ea70f6d6f1.json
ADDED
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@@ -0,0 +1,522 @@
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|
data/global-mmlu-lite/openai/o3-mini-2025-01-31/cf6054ad-221c-4abf-81f3-d2ea7990675b.json
ADDED
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@@ -0,0 +1,522 @@
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|
| 1 |
+
{
|
| 2 |
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"schema_version": "0.2.2",
|
| 3 |
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"evaluation_id": "global-mmlu-lite/openai_o3-mini-2025-01-31/1784425452.0738103",
|
| 4 |
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"retrieved_timestamp": "1784425452.0738103",
|
| 5 |
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|
| 6 |
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|
| 7 |
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| 8 |
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|
| 9 |
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| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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},
|
| 19 |
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"model_info": {
|
| 20 |
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"name": "o3-mini-2025-01-31",
|
| 21 |
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"id": "openai/o3-mini-2025-01-31",
|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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},
|
| 28 |
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"evaluation_results": [
|
| 29 |
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{
|
| 30 |
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"evaluation_name": "Average",
|
| 31 |
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"source_data": {
|
| 32 |
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"dataset_name": "global-mmlu-lite",
|
| 33 |
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|
| 34 |
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"url": [
|
| 35 |
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|
| 36 |
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]
|
| 37 |
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},
|
| 38 |
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"metric_config": {
|
| 39 |
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"evaluation_description": "Global MMLU Lite - Average",
|
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| 473 |
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| 476 |
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| 495 |
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| 498 |
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| 503 |
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|
data/global-mmlu-lite/openai/o4-mini-2025-04-16/3004f669-7a6f-46d4-94df-58d969d1c511.json
ADDED
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@@ -0,0 +1,522 @@
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| 1 |
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{
|
| 2 |
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|
| 3 |
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"evaluation_id": "global-mmlu-lite/openai_o4-mini-2025-04-16/1784425452.0738103",
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| 4 |
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"retrieved_timestamp": "1784425452.0738103",
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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|
| 14 |
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| 16 |
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|
| 17 |
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| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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| 38 |
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| 39 |
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| 40 |
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|
| 48 |
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| 49 |
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{
|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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"metric_config": {
|
| 59 |
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"evaluation_description": "Global MMLU Lite - Culturally Sensitive",
|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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"score": 0.8503
|
| 67 |
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|
| 68 |
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|
| 69 |
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{
|
| 70 |
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"evaluation_name": "Culturally Agnostic",
|
| 71 |
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"source_data": {
|
| 72 |
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"dataset_name": "global-mmlu-lite",
|
| 73 |
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"source_type": "url",
|
| 74 |
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"url": [
|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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"evaluation_description": "Global MMLU Lite - Culturally Agnostic",
|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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| 89 |
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{
|
| 90 |
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"evaluation_name": "Arabic",
|
| 91 |
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"source_data": {
|
| 92 |
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"dataset_name": "global-mmlu-lite",
|
| 93 |
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"source_type": "url",
|
| 94 |
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"url": [
|
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| 509 |
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| 510 |
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| 511 |
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| 516 |
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| 517 |
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| 520 |
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data/global-mmlu-lite/xai/grok-3-mini/3e74fa90-8196-4797-aeaa-0bb68380b6fe.json
ADDED
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@@ -0,0 +1,522 @@
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| 1 |
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{
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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|
| 17 |
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|
| 18 |
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| 19 |
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|
| 20 |
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| 21 |
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|
| 22 |
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|
| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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| 54 |
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| 61 |
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|
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|
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| 72 |
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| 73 |
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| 90 |
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|
| 91 |
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| 92 |
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| 93 |
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| 98 |
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| 99 |
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| 116 |
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| 117 |
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|
| 118 |
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|
| 119 |
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| 120 |
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|
| 121 |
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| 122 |
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| 124 |
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| 125 |
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| 126 |
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| 127 |
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|
| 128 |
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|
| 129 |
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| 130 |
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| 131 |
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| 132 |
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| 133 |
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| 134 |
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| 135 |
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| 136 |
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|
| 137 |
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| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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{
|
| 144 |
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"evaluation_name": "Bengali",
|
| 145 |
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|
| 146 |
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| 147 |
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| 148 |
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| 149 |
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data/global-mmlu-lite/xai/grok-4-0709/e47af5bb-30f7-4f72-9ba5-8a1078dbff16.json
ADDED
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@@ -0,0 +1,522 @@
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| 1 |
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 9 |
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| 11 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 34 |
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| 45 |
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| 46 |
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| 48 |
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| 50 |
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| 51 |
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| 54 |
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|
data/rewardbench/0-hero/Matter-0.1-7B-DPO-preview/7f3f5183-5b61-4dc7-a620-eaa9b0283c56.json
ADDED
|
@@ -0,0 +1,134 @@
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|
| 1 |
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{
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|
| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 44 |
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| 45 |
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| 49 |
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| 63 |
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| 80 |
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| 81 |
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| 85 |
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| 88 |
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| 90 |
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| 91 |
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| 92 |
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| 93 |
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| 95 |
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| 96 |
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| 97 |
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|
| 98 |
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|
| 99 |
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| 101 |
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| 103 |
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| 104 |
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| 105 |
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| 106 |
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| 107 |
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| 108 |
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| 109 |
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| 110 |
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| 111 |
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| 113 |
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| 114 |
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| 115 |
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| 116 |
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|
| 117 |
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| 118 |
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| 119 |
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| 120 |
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| 121 |
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| 122 |
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| 123 |
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| 124 |
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| 129 |
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|
| 131 |
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| 132 |
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|
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|
data/rewardbench/0-hero/Matter-0.1-7B-boost-DPO-preview/fb8faa36-ef8b-4985-ae30-67d1d4717672.json
ADDED
|
@@ -0,0 +1,134 @@
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| 1 |
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| 134 |
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|
data/rewardbench/Ahjeong/MMPO_Gemma_7b/e7870d3a-6a28-4d47-8837-fee650920704.json
ADDED
|
@@ -0,0 +1,134 @@
|
|
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|
|
|
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|
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|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
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|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
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|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
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|
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|
|
|
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|
| 1 |
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| 3 |
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| 4 |
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| 6 |
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| 17 |
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|
| 18 |
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| 20 |
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| 22 |
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| 26 |
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| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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| 44 |
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|
| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 56 |
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| 58 |
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| 59 |
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|
| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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|
| 71 |
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|
| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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| 82 |
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| 83 |
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| 84 |
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|
| 85 |
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| 86 |
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| 87 |
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| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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| 125 |
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|
| 126 |
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| 127 |
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| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
data/rewardbench/Ahjeong/MMPO_Gemma_7b_gamma1.1_epoch3/4fdd20f2-2b72-460d-9261-bb6d55bb70b3.json
ADDED
|
@@ -0,0 +1,134 @@
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|
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|
| 1 |
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 11 |
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| 13 |
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| 15 |
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| 16 |
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|
| 17 |
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| 18 |
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| 19 |
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| 20 |
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|
data/rewardbench/Anthropic/claude-3-5-sonnet-20240620/8896d871-d793-4ba9-b62b-0fc17939a59e.json
ADDED
|
@@ -0,0 +1,116 @@
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|
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|
|
|
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|
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|
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|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
| 1 |
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 14 |
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|
| 17 |
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|
| 18 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 54 |
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| 56 |
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| 57 |
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| 58 |
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|
| 59 |
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|
| 60 |
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| 61 |
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|
| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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| 111 |
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| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
data/rewardbench/Anthropic/claude-3-haiku-20240307/d8b35f00-7f3b-4939-ab49-f7ecb51b7e80.json
ADDED
|
@@ -0,0 +1,134 @@
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| 1 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 11 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 103 |
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|
data/rewardbench/Anthropic/claude-3-opus-20240229/7838efaa-6854-4504-b8b6-f46e05a7eeab.json
ADDED
|
@@ -0,0 +1,116 @@
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
| 1 |
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| 2 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 11 |
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| 15 |
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| 16 |
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|
| 17 |
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|
| 18 |
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| 60 |
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| 61 |
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| 62 |
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|
| 63 |
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| 65 |
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| 70 |
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|
| 72 |
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| 85 |
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| 86 |
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|
| 87 |
+
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|
| 88 |
+
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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{
|
| 98 |
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|
| 99 |
+
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
data/rewardbench/Anthropic/claude-3-sonnet-20240229/742d8a03-ca2f-41c7-9ed8-fce1d1a2c6b3.json
ADDED
|
@@ -0,0 +1,134 @@
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|
| 1 |
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|
| 2 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 11 |
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| 12 |
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| 13 |
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| 15 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 70 |
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| 72 |
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| 84 |
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| 87 |
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| 88 |
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|
data/rewardbench/AtlaAI/Selene-1-Mini-Llama-3.1-8B/336ac2c7-86db-4e55-9c78-29e06642e04a.json
ADDED
|
@@ -0,0 +1,116 @@
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|
|
|
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|
|
|
|
|
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|
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|
|
|
|
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|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
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|
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|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
| 1 |
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data/rewardbench/AtlaAI/Selene-1/e4bac69a-cfe2-49f2-8504-4cc6a085c655.json
ADDED
|
@@ -0,0 +1,116 @@
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| 1 |
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{
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| 2 |
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| 4 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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"name": "AtlaAI/Selene-1",
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 45 |
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| 49 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 74 |
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| 75 |
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| 77 |
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| 78 |
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| 79 |
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| 80 |
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| 81 |
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| 82 |
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| 83 |
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| 84 |
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| 85 |
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| 86 |
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| 87 |
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| 88 |
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| 89 |
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|
| 90 |
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| 91 |
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| 92 |
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| 93 |
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| 94 |
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| 95 |
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|
| 96 |
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| 97 |
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|
| 98 |
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|
| 99 |
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| 100 |
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| 101 |
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| 102 |
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|
| 103 |
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| 104 |
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| 105 |
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| 106 |
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| 108 |
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| 110 |
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| 111 |
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| 113 |
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| 114 |
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|
| 115 |
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|
| 116 |
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|
data/rewardbench/CIR-AMS/BTRM_Qwen2_7b_0613/28d02d93-6f48-45a7-8b14-1c573dfe3f61.json
ADDED
|
@@ -0,0 +1,152 @@
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|
| 1 |
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{
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 11 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 22 |
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| 24 |
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| 30 |
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| 33 |
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| 41 |
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| 45 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 60 |
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{
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| 62 |
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| 63 |
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| 70 |
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| 72 |
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|
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| 79 |
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| 80 |
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|
| 81 |
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| 83 |
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| 88 |
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| 97 |
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| 103 |
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| 106 |
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| 108 |
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| 116 |
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|
| 117 |
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|
| 121 |
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|
| 123 |
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| 124 |
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|
| 125 |
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|
| 126 |
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| 127 |
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|
| 131 |
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| 133 |
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| 134 |
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|
| 135 |
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| 136 |
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| 137 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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| 145 |
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|
| 146 |
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| 147 |
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| 148 |
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"score": 0.6527
|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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}
|
data/rewardbench/CIR-AMS/BTRM_Qwen2_7b_0613/9da7aac0-248c-4986-969e-4e2d95894411.json
ADDED
|
@@ -0,0 +1,134 @@
|
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|
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|
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|
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|
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|
| 1 |
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| 2 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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|
| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 31 |
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| 33 |
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| 36 |
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| 42 |
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| 44 |
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| 45 |
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| 46 |
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| 48 |
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| 49 |
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| 51 |
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| 52 |
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| 54 |
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| 58 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 79 |
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| 80 |
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|
| 81 |
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| 82 |
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| 83 |
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| 84 |
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| 85 |
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| 86 |
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| 87 |
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| 88 |
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| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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| 100 |
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| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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| 106 |
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| 107 |
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|
| 108 |
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|
| 109 |
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| 110 |
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| 111 |
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| 112 |
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| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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| 120 |
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| 121 |
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| 122 |
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| 123 |
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| 124 |
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| 125 |
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|
| 126 |
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| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
data/rewardbench/CohereForAI/c4ai-command-r-plus/da5c4646-6bdf-40f2-8f24-29d2159ae0cc.json
ADDED
|
@@ -0,0 +1,134 @@
|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
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|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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|
| 2 |
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|
| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 17 |
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|
| 18 |
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| 19 |
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| 20 |
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| 22 |
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| 23 |
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| 49 |
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|
| 60 |
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| 61 |
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| 62 |
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| 63 |
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|
| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 79 |
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| 80 |
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| 81 |
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| 82 |
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| 83 |
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| 84 |
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| 85 |
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| 86 |
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| 87 |
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| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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| 93 |
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| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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| 101 |
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| 102 |
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|
| 103 |
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|
| 104 |
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| 105 |
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| 106 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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| 119 |
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| 120 |
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| 121 |
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| 122 |
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| 123 |
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| 124 |
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| 125 |
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| 126 |
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| 127 |
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|
| 128 |
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| 129 |
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| 131 |
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| 132 |
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| 133 |
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| 134 |
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|
data/rewardbench/ContextualAI/LMUnit-llama3.1-70b/4243c872-c375-4e2b-970e-abeb5a1a06e1.json
ADDED
|
@@ -0,0 +1,152 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
| 1 |
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| 2 |
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|
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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| 10 |
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| 11 |
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| 12 |
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|
| 13 |
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| 14 |
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|
| 15 |
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| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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| 23 |
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| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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| 32 |
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|
| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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|
| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 79 |
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| 80 |
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|
| 81 |
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| 82 |
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|
| 83 |
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| 84 |
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| 85 |
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| 87 |
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| 88 |
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| 89 |
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|
| 90 |
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| 91 |
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| 92 |
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| 94 |
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| 95 |
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| 97 |
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| 98 |
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| 99 |
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| 100 |
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| 101 |
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| 103 |
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| 104 |
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| 105 |
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| 106 |
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|
| 108 |
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| 109 |
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|
| 110 |
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| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
data/rewardbench/ContextualAI/LMUnit-qwen2.5-72b/d85a9624-b996-40a6-a20c-e0d94af6db3e.json
ADDED
|
@@ -0,0 +1,152 @@
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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| 4 |
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| 5 |
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| 7 |
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| 9 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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| 21 |
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| 22 |
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| 25 |
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| 28 |
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| 29 |
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| 34 |
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| 51 |
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|
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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| 67 |
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| 68 |
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|
| 69 |
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|
| 70 |
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| 71 |
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|
| 72 |
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| 73 |
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|
| 74 |
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| 75 |
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| 76 |
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| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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| 86 |
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| 87 |
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| 88 |
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| 89 |
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| 90 |
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| 91 |
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| 92 |
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| 93 |
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| 94 |
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|
| 95 |
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|
| 96 |
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| 97 |
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| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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| 102 |
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|
| 103 |
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| 104 |
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|
| 105 |
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| 106 |
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| 108 |
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| 109 |
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| 111 |
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| 112 |
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| 113 |
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|
| 114 |
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| 115 |
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|
| 116 |
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|
| 117 |
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| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
data/rewardbench/ContextualAI/archangel_sft-dpo_llama13b/f67ad889-1635-444c-910d-2b3422f3845a.json
ADDED
|
@@ -0,0 +1,134 @@
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| 1 |
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| 2 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 11 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 62 |
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|
| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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|
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| 79 |
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| 80 |
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| 81 |
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| 82 |
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| 83 |
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| 85 |
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| 87 |
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| 88 |
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| 89 |
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|
| 90 |
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| 105 |
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|
data/rewardbench/ContextualAI/archangel_sft-dpo_llama30b/67b3a6a2-ba63-46ab-a72f-9cfa1e91e29d.json
ADDED
|
@@ -0,0 +1,134 @@
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|
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|
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|
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|
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|
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|
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|
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| 1 |
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| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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| 119 |
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| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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| 125 |
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|
| 126 |
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| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
data/rewardbench/ContextualAI/archangel_sft-dpo_llama7b/5f06c096-d5fb-4dfb-8114-85f96b5eced1.json
ADDED
|
@@ -0,0 +1,134 @@
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| 1 |
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| 5 |
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| 6 |
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| 11 |
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| 17 |
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| 18 |
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| 63 |
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|
data/rewardbench/ContextualAI/archangel_sft-dpo_pythia1-4b/eab7bea1-a011-4fcc-945d-b627dba0d122.json
ADDED
|
@@ -0,0 +1,134 @@
|
|
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|
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|
|
|
|
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|
|
|
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|
|
|
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|
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|
| 1 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
data/rewardbench/ContextualAI/archangel_sft-dpo_pythia12-0b/b81583bd-4468-4dab-842c-e41b6e201028.json
ADDED
|
@@ -0,0 +1,134 @@
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| 1 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 11 |
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| 12 |
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| 13 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 63 |
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| 64 |
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| 67 |
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| 70 |
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| 85 |
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| 90 |
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| 98 |
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|
data/rewardbench/ContextualAI/archangel_sft-dpo_pythia2-8b/a174fdbb-06d6-453f-830b-27b0f37a3534.json
ADDED
|
@@ -0,0 +1,134 @@
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|
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|
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|
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|
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|
|
|
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|
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|
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|
|
|
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|
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|
|
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|
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|
|
|
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| 1 |
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| 115 |
+
{
|
| 116 |
+
"evaluation_name": "Prior Sets (0.5 weight)",
|
| 117 |
+
"source_data": {
|
| 118 |
+
"dataset_name": "RewardBench",
|
| 119 |
+
"source_type": "hf_dataset",
|
| 120 |
+
"hf_repo": "allenai/reward-bench"
|
| 121 |
+
},
|
| 122 |
+
"metric_config": {
|
| 123 |
+
"evaluation_description": "Prior Sets score (weighted 0.5) - includes test sets",
|
| 124 |
+
"lower_is_better": false,
|
| 125 |
+
"score_type": "continuous",
|
| 126 |
+
"min_score": 0.0,
|
| 127 |
+
"max_score": 1.0
|
| 128 |
+
},
|
| 129 |
+
"score_details": {
|
| 130 |
+
"score": 0.5501
|
| 131 |
+
}
|
| 132 |
+
}
|
| 133 |
+
]
|
| 134 |
+
}
|