Update croissant.json: add all 7 configs with RAI fields

Split multi-schema configs into individual configs (5 -> 7) for datasets lib compat

Fix dataset_info: num_rows -> num_examples for datasets lib compat

Fix dataset_info: add missing configs, omit features for multi-schema splits

Add kernel profiles (148k rows), workload traces, serving predictions, roofline quadrant data

Fix: PyTorch 2.10.0, CUDA 12.8 (was incorrectly CUDA 12.4)

v1.0: dataset card with full metadata, precision info, coverage sparsity, croissant alignment

Fix dataset card: accurate stats, failed request disclosure, croissant alignment, BF16 column fix

Clean up dataset card: simplify retention table, remove AI-generated prose

Update data with fresh R2 pull (5,743 rows) and add retention table to dataset card

Upload folder using huggingface_hub

Upload folder using huggingface_hub

Delete benchmark_results/summary.parquet with huggingface_hub

Delete benchmark_results/per_request.parquet with huggingface_hub

Delete benchmark_results/multi_turn.parquet with huggingface_hub

Upload folder using huggingface_hub

Delete croissant_hf_autogenerated.json with huggingface_hub

Delete metadata/profiles.json with huggingface_hub

Delete metadata/models.json with huggingface_hub

Delete metadata/hardware.json with huggingface_hub

Delete benchmark_results/summary.parquet with huggingface_hub

Delete benchmark_results/per_request.parquet with huggingface_hub

Delete benchmark_results/multi_turn.parquet with huggingface_hub

Update summary with full coverage (4 GPU platforms, 9 models, 5604 rows)

Upload folder using huggingface_hub

initial commit