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Dataset · Hugging Face

Lexmount/LexBench-Web-Fetch

LexBench-Web-Fetch LexBench-Web-Fetch evaluates whether a browser, extraction tool or hosted fetch service returns the content an AI agent needs from a URL. Its 550 task entries cover page bodies, structured records with usable links, resource discovery and file delivery. Each task declares what the returned answer must contain, so the same acceptance rules apply to every participant. Use it to compare live-site fetching, diagnose incomplete extraction, or test a saved response… See the full description on the dataset page: https://huggingface.co/datasets/Lexmount/LexBench-Web-Fetch.

Author / organizationLexmount
License (as declared)apache-2.0
Downloads2.8K (as reported by Hugging Face)
Likes1
Created28 October 2026
Last updated at source2 November 2026
benchmarkevaluationbrowser-evalweb-fetchweb-scrapingweb-content-extractionstructured-data-extractiondocument-extractionresource-discoverytool-evaluation
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  • 02 Nov 2026 Description: LexBench-Web-Fetch LexBench-Web-Fetch evaluates whether a browser, extraction tool or hosted fetch service returns the content an AI agent needs from a URL. Its 430 task entries cover page bodies, structured records with usable links, resou → LexBench-Web-Fetch LexBench-Web-Fetch evaluates whether a browser, extraction tool or hosted fetch service returns the content an AI agent needs from a URL. Its 550 task entries cover page bodies, structured records with usable links, resou
  • 30 Oct 2026 Description: LexBench-Web-Fetch LexBench-Web-Fetch evaluates whether a browser, extraction tool or hosted fetch service returns the content an AI agent needs from a URL. Its 550 task entries cover page bodies, structured records with usable links, resou → LexBench-Web-Fetch LexBench-Web-Fetch evaluates whether a browser, extraction tool or hosted fetch service returns the content an AI agent needs from a URL. Its 430 task entries cover page bodies, structured records with usable links, resou

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