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01plnguyen2908 /AudioVisual-Benchmark-Evaluation AudioVisual Benchmark Evaluation — evaluation subsets Item-id lists for the audio-visual benchmark subsets used in our reported evaluation tables. Layout <benchmark>/eval_subset.csv item ids evaluated in the paper <benchmark>/media_index.csv id -> media filename(s) <benchmark>/media/ the media files those ids refer to eval_subset.csv holds a single id column keyed to the source benchmark (question_id, idx, or index). media/ contains exactly the… See the full description on the dataset page: https://huggingface.co/datasets/plnguyen2908/AudioVisual-Benchmark-Evaluation.audiomultiple-choice10K<n<100K0 likes215 downloads26d agoHugging Face02aiagentkarl /agent-evaluation-benchmark Agent Evaluation Benchmark A benchmark dataset for evaluating AI agent tool-use capabilities across 55+ test cases spanning 14 categories. Overview This benchmark tests whether AI agents can correctly select and use the right MCP tools for real-world tasks. It covers data retrieval, blockchain queries, security analysis, academic research, and more. Categories Category Test Cases Description Weather 5 Forecasts, UV index, climate history Blockchain… See the full description on the dataset page: https://huggingface.co/datasets/aiagentkarl/agent-evaluation-benchmark.texttext-generationn<1K0 likes45 downloads6mo agoHugging Face03aspectsim /AspectSim-Evaluation-Benchmark Dataset Card for AspectSim Dataset Details Dataset Description AspectSim is a large-scale aspect-conditioned document-pair similarity evaluation benchmark. Each instance consists of two full documents, a natural-language aspect on which the comparison is based, and a human-interpretable similarity label on an ordinal scale. The benchmark spans five diverse domains: news, opinion, hotel reviews, medical literature, and scientific peer reviews, enabling… See the full description on the dataset page: https://huggingface.co/datasets/aspectsim/AspectSim-Evaluation-Benchmark.texttext-retrieval10K<n<100K0 likes21 downloads5mo agoHugging Face

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