Dataset · Hugging Face

xiapk7/ANT-A-Benchmark

Name: ANT-A-Benchmark
Creator: xiapk7
License: apache-2.0
Keywords: task_categories:text-classification, task_categories:token-classification, task_categories:image-classification, multilinguality:multilingual, language:en, language:zh, license:apache-2.0, size_categories:10K<n<100K, format:parquet, modality:image, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant

📊 ANT-A Benchmark This directory contains the ANT-A Benchmark in HuggingFace-compatible Parquet format, ready for upload to the HuggingFace Hub. ANT-A is a benchmark of 7 real-world annotation tasks (10,500 samples, 5 annotators each), covering text and multimodal modalities. All 5 annotations are preserved per sample — no forced majority vote — supporting research on soft labels and annotator disagreement. 🗂️ Dataset Structure Each task is provided as two… See the full description on the dataset page: https://huggingface.co/datasets/xiapk7/ANT-A-Benchmark.

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Author / organization	xiapk7
License (as declared)	apache-2.0
Downloads	258 (as reported by Hugging Face)
Likes	0
Created	28 September 2026
Last updated at source	28 September 2026

benchmarkannotationmultimodalsoft-labelsannotator-disagreement

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