lbourdois/VQA-neulab-CulturalGround-clean
Description French part of the neulab/CulturalGround dataset that we processed to display images directly as a PIL object, and questions & answers as individual columns. The dataset contains images from 42 countries from Wikidata.For each country, two types of questions (generated via Qwen/Qwen2.5-VL-72B-Instruct according this this file) are possible: Open-Ended VQA (OE splits), i.e. the model answers directly from the image Multiple-Choices VQA (MCQs splits), i.e. the model… See the full description on the dataset page: https://huggingface.co/datasets/lbourdois/VQA-neulab-CulturalGround-clea
| Author / organization | lbourdois |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 658 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 31 July 2025 |
| Last updated at source | 12 August 2025 |
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- 17 Oct 2026 Description: Description French part of the neulab/CulturalGround dataset that we processed to display images directly as a PIL object, and questions & answers as individual columns. The dataset contains images from 42 countries from Wikidata.For each c → Description French part of the neulab/CulturalGround dataset that we processed to display images directly as a PIL object, and questions & answers as individual columns. The dataset contains images from 42 countries from Wikidata.For each c
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