neulab/PangeaBench-cvqa
About CVQA CVQA is a culturally diverse multilingual VQA benchmark consisting of over 9,000 questions from 33 country-language pairs. The questions in CVQA are written in both the native languages and English, and are categorized into 10 diverse categories. This data is designed for use as a test set. Please submit your submission here to evaluate your model performance. CVQA is constructed through a collaborative effort led by a team of researchers from MBZUAI. Read more about… See the full description on the dataset page: https://huggingface.co/datasets/neulab/PangeaBench-cvqa.
| Author / organization | neulab |
|---|---|
| Downloads | 201 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 31 October 2024 |
| Last updated at source | 31 October 2024 |
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