Cooolder/SCOPE-60K
SCOPE-60K: LLM Routing and Selection Dataset Dataset Description SCOPE-60K is a comprehensive dataset designed for training and evaluating LLM routing systems. It contains evaluation results from 13 different large language models across diverse question-answering tasks. Authors Qi Cao - UC San Diego, PXie Lab Shuhao Zhang - UC San Diego, PXie Lab Affiliation University of California, San Diego (UCSD) - PXie Lab Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Cooolder/SCOPE-60K.
| Author / organization | Cooolder |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 225 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 3 February 2026 |
| Last updated at source | 3 February 2026 |
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225 now (+13 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: SCOPE-60K: LLM Routing and Selection Dataset Dataset Description SCOPE-60K is a comprehensive dataset designed for training and evaluating LLM routing systems. It contains evaluation results from 13 different large language models across di → SCOPE-60K: LLM Routing and Selection Dataset Dataset Description SCOPE-60K is a comprehensive dataset designed for training and evaluating LLM routing systems. It contains evaluation results from 13 different large language models across di
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