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README.md

@@ -1,48 +1,15 @@
 ---
 license: apache-2.0
 task_categories:
-- text-generation
+  - text-generation
 tags:
-- code
-- cuda
-- distributed-systems
-- gpu-kernels
-- benchmark
+  - code
+  - cuda
+  - distributed-systems
+  - gpu-kernels
+  - benchmark
 size_categories:
-- n<1K
-dataset_info:
-  features:
-  - name: problem_id
-    dtype: int64
-  - name: stem
-    dtype: string
-  - name: reference_code
-    dtype: string
-  - name: reference_path
-    dtype: string
-  - name: input_tensor_spec_path
-    dtype: string
-  - name: world_size
-    dtype: int64
-  - name: default_m
-    dtype: int64
-  - name: default_n
-    dtype: int64
-  - name: default_dtype
-    dtype: string
-  - name: default_trials
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 280010
-    num_examples: 87
-  download_size: 87290
-  dataset_size: 280010
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+  - n<1K
 ---
 
 # ParallelKernelBench (benchmark)
@@ -73,11 +40,11 @@ This dataset contains **87** reference implementations in `reference/` and the i
 from datasets import load_dataset
 from huggingface_hub import hf_hub_download
 
-ds = load_dataset("YOUR_ORG/ParallelKernelBench", split="train")
+ds = load_dataset("willychan21/ParallelKernelBench_Problems", split="train")
 print(ds[0]["stem"], ds[0]["reference_code"][:200])
 
 # Fetch the input tensor spec (same file on disk in this dataset repo)
-spec_path = hf_hub_download("YOUR_ORG/ParallelKernelBench", "utils/input_output_tensors.py", repo_type="dataset")
+spec_path = hf_hub_download("willychan21/ParallelKernelBench_Problems", "utils/input_output_tensors.py", repo_type="dataset")
 ```
 
 Reproduce inputs locally (add the downloaded `utils/` folder to PYTHONPATH, or clone this repo):