Dataset · Hugging Face

yale-nlp/Bright-Pro

Name: Bright-Pro
Creator: yale-nlp
License: mit
Keywords: task_categories:text-retrieval, language:en, license:mit, size_categories:100K<n<1M, format:parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, information-retrieval, reasoning, benchmark, bright

Bright-Pro Bright-Pro is an expert-annotated extension of the BRIGHT benchmark for reasoning-intensive retrieval. Each query is paired with a multi-aspect reasoning decomposition, weighted importance scores per aspect, and a curated set of gold passages organized by aspect — enabling fine-grained analysis of whether a retriever covers the complementary reasoning aspects required to answer a query, rather than just surfacing one relevant passage. Bright-Pro builds on the seven… See the full description on the dataset page: https://huggingface.co/datasets/yale-nlp/Bright-Pro.

View on Hugging FaceReport an issue

Author / organization	yale-nlp
License (as declared)	mit
Downloads	825 (as reported by Hugging Face)
Likes	2
Created	30 April 2026
Last updated at source	30 April 2026

information-retrievalreasoningbenchmarkbright

Embed this entry

<iframe src="https://silytics.si/embed/item/836e6bdc-0aeb-41f0-856f-5b51a561e701" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

825 now (-1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from yale-nlp

yale-nlp/DocMath-EvalDataset
yale-nlp/MMVUDataset
yale-nlp/FOLIODataset
yale-nlp/physics-verified-model-outputsDataset
yale-nlp/TOMATODataset
yale-nlp/SciArenaDataset

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.