kensho/WILD-raw
Dataset to accompany the paper Cost-Efficient Estimation of General Abilities Across Benchmarks. WILD-raw: Wide-scale Item Level Dataset (Full Responses) WILD-raw contains the full evaluation responses for 65 language models across 27 benchmarks (109,566 unique items), including conversations, model answers, targets, and scorer output. For a lightweight version with just scores and token usage, see WILD. Key Statistics 7,237,945 total (model, item) observations… See the full description on the dataset page: https://huggingface.co/datasets/kensho/WILD-raw.
| Author / organization | kensho |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 348 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 2 April 2026 |
| Last updated at source | 7 May 2026 |
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- 16 Oct 2026 Description: Dataset to accompany the paper Cost-Efficient Estimation of General Abilities Across Benchmarks. WILD-raw: Wide-scale Item Level Dataset (Full Responses) WILD-raw contains the full evaluation responses for 65 language models across 27 bench → Dataset to accompany the paper Cost-Efficient Estimation of General Abilities Across Benchmarks. WILD-raw: Wide-scale Item Level Dataset (Full Responses) WILD-raw contains the full evaluation responses for 65 language models across 27 bench
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