[Benchmark]Add TextHalu-Bench#1561
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Overview
This PR updates TextHaluBench after reviewer feedback. Following your feedback, we conducted a thorough inspection of the benchmark and manually re-checked the samples one by one.
Motivation
Previous benchmarks like ST-VQA and TextVQA are dominated by semantically clear samples, which may overestimate models' true visual grounding. TextHalu-Bench provides a more challenging evaluation set for non-semantic scene text evaluation.
Dataset
Focuses on non-semantic text: isolated numbers, incomplete words, rare or out-of-vocabulary tokens.
Two subtasks:Spotting ,Understanding
We have now updated the dataset and refreshed the corresponding files in this PR. We would greatly appreciate it if you could take another look when convenient. Please let us know if you notice any remaining issues or have additional suggestions for improvement.Thank you again for your time and valuable feedback.