megagonlabs/holobench
HoloBench (Holistic Reasoning Benchmark) HoloBench is a benchmark designed to evaluate the ability of long-context language models (LCLMs) to perform holistic reasoning over extended text contexts. Unlike standard models that retrieve isolated information, HoloBench tests how well LCLMs handle complex reasoning tasks that require aggregating and synthesizing information across multiple documents or large text segments. Dataset Details Dataset… See the full description on the dataset page: https://huggingface.co/datasets/megagonlabs/holobench.
| Author / organization | megagonlabs |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 524 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 9 October 2024 |
| Last updated at source | 6 February 2025 |
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Recent changes
- 17 Oct 2026 Description: HoloBench (Holistic Reasoning Benchmark) HoloBench is a benchmark designed to evaluate the ability of long-context language models (LCLMs) to perform holistic reasoning over extended text contexts. Unlike standard models that retrieve isola → HoloBench (Holistic Reasoning Benchmark) HoloBench is a benchmark designed to evaluate the ability of long-context language models (LCLMs) to perform holistic reasoning over extended text contexts. Unlike standard models that retrieve isola
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