Dataset · Hugging Face

AgentSearch/AgentSearchBench-Tasks

Name: AgentSearchBench-Tasks
Creator: AgentSearch
License: mit
Keywords: language:en, license:mit, size_categories:1K<n<10K, format:parquet, format:optimized-parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2604.22436, region:us, agent, search, retrieval

AgentSearchBench Tasks AgentSearchBench is a large-scale benchmark for AI agent search, built from nearly 10,000 real-world agents sourced from the GPT Store, Google Cloud Marketplace, and AgentAI Platform. 🌐 Project Page • 💻 Codebase Overview This repository contains the benchmark tasks for AgentSearchBench. Agent search is framed as both a retrieval and reranking problem, where relevance is grounded in real execution performance rather than textual similarity… See the full description on the dataset page: https://huggingface.co/datasets/AgentSearch/AgentSearchBench-Tasks.

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Author / organization	AgentSearch
License (as declared)	mit
Downloads	181 (as reported by Hugging Face)
Likes	3
Created	19 April 2026
Last updated at source	17 June 2026

agentsearchretrievalrerankingbenchmarking

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