loongwayX/TABench
TextAnchor-Bench (TABench) π Paper Link: Q-Mask: Query-driven Causal Masks for Text Anchoring in OCR-Oriented Vision-Language Models TABench evaluates whether a vision-language model can (i) accurately read the text within a specified region (Region-to-Text, R2T) and (ii) localize the region(s) corresponding to a given text query (Text-to-Region, T2R). It contains 5,450 queries in total with an exact 1:1 balance between the two tasks, defined over the same set of 973 coreβ¦ See the full description on the dataset page: https://huggingface.co/datasets/loongwayX/TABench.
| Author / organization | loongwayX |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 533 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 9 April 2026 |
| Last updated at source | 12 April 2026 |
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- 17 Oct 2026 Description: TextAnchor-Bench (TABench) π Paper Link: Q-Mask: Query-driven Causal Masks for Text Anchoring in OCR-Oriented Vision-Language Models TABench evaluates whether a vision-language model can (i) accurately read the text within a specified regi β TextAnchor-Bench (TABench) π Paper Link: Q-Mask: Query-driven Causal Masks for Text Anchoring in OCR-Oriented Vision-Language Models TABench evaluates whether a vision-language model can (i) accurately read the text within a specified regi
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