browsecomp-plus
browsecomp-plus
BrowseComp-Plus
BrowseComp-Plus is a new benchmark for Deep-Research system, isolating the effect of the retriever and the LLM agent to enable fair, transparent comparisons of Deep-Research agents. The benchmark sources challenging, reasoning-intensive queries from OpenAI's BrowseComp. However, instead of searching the live web, BrowseComp-Plus evaluates against a fixed, curated corpus of ~100K web documents from the web. The corpus includes both human-verified evidence documents… See the full description on the dataset page: https://huggingface.co/datasets/Tevatron/browsecomp-plus.browsecomp-plus-corpus
BrowseComp-Plus
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BrowseComp-Plus is a new benchmark for Deep-Research system, isolating the effect of the retriever and the LLM agent to enable fair, transparent comparisons of Deep-Research agents. The benchmark sources challenging, reasoning-intensive queries from OpenAI's BrowseComp. However, instead of searching the live web, BrowseComp-Plus evaluates against a fixed, curated corpus of ~100K web documents from the web. The corpus includes both… See the full description on the dataset page: https://huggingface.co/datasets/Tevatron/browsecomp-plus-corpus.browsecomp-plus-trajectoriesbrowsecomp-plus-indexesBM25, embedding index used in BrowseComp-Plus.
For downloading the index:
huggingface-cli download Tevatron/browsecomp-plus-indexes --repo-type=dataset --include="bm25/*" --local-dir ./indexes
huggingface-cli download Tevatron/browsecomp-plus-indexes --repo-type=dataset --include="qwen3-embedding-0.6b/*" --local-dir ./indexes
huggingface-cli download Tevatron/browsecomp-plus-indexes --repo-type=dataset --include="qwen3-embedding-4b/*" --local-dir ./indexes
huggingface-cli download… See the full description on the dataset page: https://huggingface.co/datasets/Tevatron/browsecomp-plus-indexes.browsecomp-plus-indexes
Indexes of Retrievers on the Passage and Document Corpora of the BrowseComp-Plus Dataset
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This repository provides the retrieval indexes built on the passage and document corpora of the BrowseComp-Plus dataset, as used in the paper Revisiting Text Ranking in Deep Research, which has been accepted at SIGIR 2026, the 49th International ACM SIGIR Conference on Research and Development in… See the full description on the dataset page: https://huggingface.co/datasets/grill-lab/browsecomp-plus-indexes.browsecomp-plus-benchmark