Dataset · Hugging Face

qiangminjie27/TabBench

Name: TabBench
Creator: qiangminjie27
License: mit
Keywords: task_categories:text-classification, task_categories:feature-extraction, task_categories:text-retrieval, language:en, license:mit, size_categories:1M<n<10M, format:json, modality:text, modality:tabular, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2605.04962, arxiv:2207.08815

TabBench: Tabular Embedding Benchmark A Comprehensive Evaluation Suite for Tabular Embedding Models Overview TabBench is a comprehensive benchmark designed to evaluate the tabular understanding capability of embedding models. It assesses two critical dimensions of tabular representation: linear separability (via classification) and semantic alignment (via retrieval). TabBench aggregates diverse datasets from four authoritative repositories… See the full description on the dataset page: https://huggingface.co/datasets/qiangminjie27/TabBench.

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Author / organization	qiangminjie27
License (as declared)	mit
Downloads	566 (as reported by Hugging Face)
Likes	0
Created	11 April 2026
Last updated at source	2 September 2026

tabularembeddingbenchmarkcontrastive-learningretrievalclassification

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TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular UnderstandingPaper · cites

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TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular UnderstandingPaper

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