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Magicoder OSS-Instruct: domain-v1.1: near copies of evaluation documents that no evaluation query judges relevant restored (middle-ground decontamination)

Browse files
README.md CHANGED
@@ -44,13 +44,13 @@ A seeded sample of [`ise-uiuc/Magicoder-OSS-Instruct-75K`](https://huggingface.c
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  | Source | [`ise-uiuc/Magicoder-OSS-Instruct-75K`](https://huggingface.co/datasets/ise-uiuc/Magicoder-OSS-Instruct-75K/tree/5f839b1f368a76b161028bb9edff055db34022b2) @ `5f839b1f368a` |
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  | Task | coding problem → solution |
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  | Domain · languages | code · eng |
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- | Queries / documents / qrels | 59,994 / 59,995 / 59,994 |
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  | Qrels per query | min 1 · mean 1.0 · max 1 |
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- | Score values | 2 ×59,994 (2: the first positive, 1: any other) |
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  | Layout | `queries` · `corpus` · `qrels` · `hard-negatives` · `teacher-scores`, split `train` |
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  | Splits | `corpus`: train · `hard-negatives`: train · `qrels`: train · `queries`: train · `teacher-scores`: train |
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- | Hard negatives | sources: `dense` · 3,539,195 rows |
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- | Teacher scores | `jinaai/jina-embeddings-v5-text-small` (the miner's cosine, not a reranker) · 3,599,189 rows (positives included) |
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  | Ids | `sha1(text)[:20]`; identical texts collapse to one document / query |
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  | License | `mit` |
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@@ -71,7 +71,7 @@ Files are Parquet, sorted by id, zstd-compressed, sharded at 500 MB. Every rule
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  - **sampled**: a seeded random sample (seed 1) of up to 60,000 pairs
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  - **reshaped**: the coding problem (`problem`) is the query, its solution (`solution`) the document
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  - **decontaminated (exact)**: a pair was dropped when its normalised query equals any evaluation query, or a positive equals a document of a test or dev corpus; a repeated query keeps its first pair
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- - **decontaminated (near-duplicates)**: 5 passages and 2 queries that nearly copy a text of an evaluation set (word 13-grams for passages, 8-grams for queries; at least half shared with one text of the 23 test corpora (BEIR, RTEB, LitSearch) and the 3 dev corpora) were removed, and with them 6 queries in total
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  - **text**: leading and trailing whitespace stripped; otherwise as converted above
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  - **ids** re-keyed to `sha1(text)[:20]`: 0 documents and 0 queries collapsed into identical texts
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  - added a `title` column filled with `""` (the source has none)
@@ -86,7 +86,7 @@ Filled by the owner's domain pipeline (`convert_domain.py`, `mine_domain.py`), n
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  | configs | queries | hard negatives | teacher scores |
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  |---|---:|---:|---:|
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- | `hard-negatives` · `teacher-scores` | 59,994 (all) | 3,539,195 (3,539,195 dense) | 3,599,189 |
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  ## Load it
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  | Source | [`ise-uiuc/Magicoder-OSS-Instruct-75K`](https://huggingface.co/datasets/ise-uiuc/Magicoder-OSS-Instruct-75K/tree/5f839b1f368a76b161028bb9edff055db34022b2) @ `5f839b1f368a` |
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  | Task | coding problem → solution |
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  | Domain · languages | code · eng |
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+ | Queries / documents / qrels | 59,997 / 59,999 / 59,997 |
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  | Qrels per query | min 1 · mean 1.0 · max 1 |
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+ | Score values | 2 ×59,997 (2: the first positive, 1: any other) |
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  | Layout | `queries` · `corpus` · `qrels` · `hard-negatives` · `teacher-scores`, split `train` |
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  | Splits | `corpus`: train · `hard-negatives`: train · `qrels`: train · `queries`: train · `teacher-scores`: train |
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+ | Hard negatives | sources: `dense` · 3,539,799 rows |
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+ | Teacher scores | `jinaai/jina-embeddings-v5-text-small` (the miner's cosine, not a reranker) · 3,599,796 rows (positives included) |
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  | Ids | `sha1(text)[:20]`; identical texts collapse to one document / query |
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  | License | `mit` |
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71
  - **sampled**: a seeded random sample (seed 1) of up to 60,000 pairs
72
  - **reshaped**: the coding problem (`problem`) is the query, its solution (`solution`) the document
73
  - **decontaminated (exact)**: a pair was dropped when its normalised query equals any evaluation query, or a positive equals a document of a test or dev corpus; a repeated query keeps its first pair
74
+ - **decontaminated (near-duplicates)**: 1 passages that nearly copy an evaluation document some evaluation query judges relevant, and 2 queries that nearly copy an evaluation query (word 13-grams for passages, 8-grams for queries; at least half shared with one text of the 23 test sets (BEIR, RTEB, LitSearch) or the 6 dev sets) were removed, and with them 3 queries in total; near copies of evaluation-corpus documents that no evaluation query judges relevant were kept
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  - **text**: leading and trailing whitespace stripped; otherwise as converted above
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  - **ids** re-keyed to `sha1(text)[:20]`: 0 documents and 0 queries collapsed into identical texts
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  - added a `title` column filled with `""` (the source has none)
 
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  | configs | queries | hard negatives | teacher scores |
88
  |---|---:|---:|---:|
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+ | `hard-negatives` · `teacher-scores` | 59,997 (all) | 3,539,799 (3,539,799 dense) | 3,599,796 |
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  ## Load it
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@@ -42,10 +42,10 @@
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  },
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  "decontamination": {
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  "exact": "the normalised query equals an evaluation query, or a positive equals a test / dev corpus document (convert_domain.py)",
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- "near_duplicate": "word 13-gram shingles of passages, 8-grams of queries, a fixed 1/4 sample; flagged at >= half (and >= 4) shared with one text of the 23 test corpora and the 3 dev corpora (data/tmp/domain_overlap_flagged.py)",
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- "flagged_passages": 5,
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@@ -56,24 +56,24 @@
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  "stats": {
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  "qrels_per_query": {
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  "min": 1,
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  "score_values": {
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- "2": 59994
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- "n_hard_negatives": 3539195,
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  "sources": {
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- "dense": 3539195
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  "negatives_per_query": 59.0,
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- "n_teacher_scores": 3599189,
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  "teachers": [
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  "jinaai/jina-embeddings-v5-text-small"
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