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Dataset · Hugging Face

SaylorTwift/llm-benchmark-usage

LLM Benchmark Usage (2023–2026) Which evaluation benchmarks 39 AI labs use to evaluate their models, and how that's changed over time — hand-built from 62 papers, technical reports, system cards, model cards, and blog posts, covering 128 models from 2023-07 to 2026-07. from datasets import load_dataset models = load_dataset("SaylorTwift/llm-benchmark-usage", "models")["models"] models One row per model, fully self-contained. 128 rows. column type… See the full description on the dataset page: https://huggingface.co/datasets/SaylorTwift/llm-benchmark-usage.

Author / organizationSaylorTwift
Downloads386 (as reported by Hugging Face)
Likes1
Created7 July 2026
Last updated at source16 October 2026
benchmarksevaluationllmleaderboard
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