Dataset · Hugging Face

ibm-research/data-product-benchmark

Name: data-product-benchmark
Creator: ibm-research
License: mit
Keywords: task_categories:table-question-answering, task_categories:text-retrieval, language:en, license:mit, size_categories:10K<n<100K, format:json, modality:text, modality:tabular, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2510.21737, region:us, data

DPDisc Dataset Paper | Code Dataset Description This dataset provides a benchmark for automatic data product creation. The task is framed as follows: given a natural language data product request and a corpus of text and tables, the objective is to identify the relevant tables and text documents that should be included in the resulting data product which would useful to the given data product request. The benchmark brings together three variants: HybridQA, TAT-QA… See the full description on the dataset page: https://huggingface.co/datasets/ibm-research/data-product-benchmark.

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Author / organization	ibm-research
License (as declared)	mit
Downloads	548 (as reported by Hugging Face)
Likes	3
Created	30 September 2025
Last updated at source	18 March 2026

dataAIdata-product-discoveryhybrid-retrievaltabularquestion-answering

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16 Oct 2026 Description: DPDisc Dataset Paper | Code Dataset Description This dataset provides a benchmark for automatic data product creation. The task is framed as follows: given a natural language data product request and a corpus of text and tables, the objecti → DPDisc Dataset Paper | Code Dataset Description This dataset provides a benchmark for automatic data product creation. The task is framed as follows: given a natural language data product request and a corpus of text and tables, the objecti

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