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README.md

@@ -1,55 +1,22 @@
 ---
 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
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-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
+  - n<1K
 ---
 
 # ParallelKernelBench (benchmark)
 
 Reference problems for [ParallelKernelBench](https://github.com/your-org/ParallelKernelBench): a benchmark for LLM-generated multi-GPU CUDA kernels.
 
-This dataset contains **87** reference implementations in `reference/` and the input tensor specification in `utils/input_output_tensors.py`. Inputs are **deterministic** — reproduce them with `create_input_tensor(rank, world_size, problem_id, base_shape, dtype, trial)` from that file; you do not need stored `.pt` files.
+This dataset contains **87** reference implementations in `reference/` and the input tensor specification in `utils/input_output_tensors.py`. 
 
 ## Files
 
@@ -94,7 +61,7 @@ x = create_input_tensor(
 
 ## Related
 
-Net-new LLM-generated kernels live in a separate dataset: **ParallelKernelBench-kernels** (same org).
+Net-new LLM-generated kernels live in a separate dataset repo (ParallelKernelBench_Kernels) containing only `solutions/<run_id>/*.py`.
 
 ## Eval