mtabvqa/MTabVQA-Eval
Dataset Card for MTabVQA Paper Dataset Description Dataset Summary MTabVQA (Multi-Tabular Visual Question Answering) is a novel benchmark designed to evaluate the ability of Vision-Language Models (VLMs) to perform multi-hop reasoning over multiple tables presented as images. This scenario is common in real-world documents like web pages and PDFs but is critically under-represented in existing benchmarks. The dataset consists of two main parts:… See the full description on the dataset page: https://huggingface.co/datasets/mtabvqa/MTabVQA-Eval.
| Author / organization | mtabvqa |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 896 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 10 June 2025 |
| Last updated at source | 14 October 2025 |
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- 17 Oct 2026 Description: Dataset Card for MTabVQA Paper Dataset Description Dataset Summary MTabVQA (Multi-Tabular Visual Question Answering) is a novel benchmark designed to evaluate the ability of Vision-Language Models (VLMs) to perform multi-hop reasoning over → Dataset Card for MTabVQA Paper Dataset Description Dataset Summary MTabVQA (Multi-Tabular Visual Question Answering) is a novel benchmark designed to evaluate the ability of Vision-Language Models (VLMs) to perform multi-hop reasoning over
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