Datasets › TextVQA
TextVQA
TextVQA is a dataset to benchmark visual reasoning based on text in images. TextVQA requires models to read and reason about text in images to answer questions about them. Specifically, models need to incorporate a new modality of text present in the images and reason over it to answer TextVQA questions.
Statistics * 28,408 images from OpenImages * 45,336 questions * 453,360 ground truth answers
Benchmarks archive 2025-07-28
All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Visual Question Answering (VQA) | TextVQA test-standard | PaLI overall 73.1 | PaLI: A Jointly-Scaled Multilingual Language-Image Model | google-research/big_vision | 12 | Compare |
| Visual Question Answering | TextVQA test-standard | PromptCap overall 51.80 | PromptCap: Prompt-Guided Task-Aware Image Captioning | Yushi-Hu/PromptCap | 1 | Compare |
| Visual Question Answering (VQA) | TextVQA | Lyra-Pro Acc 83.5 | Lyra: An Efficient and Speech-Centric Framework for... | dvlab-research/Lyra | 1 | Compare |
Papers archive 2025-07-28
4 shown of 4 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 476. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition | 1 | 1 | 12 Dec 2024 | ran 3 of 19 samples (16 unverified) |
| PromptCap: Prompt-Guided Task-Aware Image Captioning | 1 | 1 | 15 Nov 2022 | not harvested |
| PaLI: A Jointly-Scaled Multilingual Language-Image Model | 1 | 1 | 14 Sep 2022 | ran 2 of 4 samples (2 unverified) |
| TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation | 1 | 1 | 3 Aug 2022 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- TextVQA Val
- TextVQA Test
- TextVQA test-standard
- TextVQA
4 variant names, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections