Data · dataset · 2022
HuggingFaceM4/OK-VQA
Listed in Hugging Face Datasets
Description
OK-VQA is a new dataset for visual question answering that requires methods which can draw upon outside knowledge to answer questions. - 14,055 open-ended questions - 5 ground truth answers per question - Manually filtered to ensure all questions require outside knowledge (e.g. from Wikipeida) - Reduced questions with most common answers to reduce dataset bias
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/HuggingFaceM4/OK-VQA ↗
landing page · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/HuggingFaceM4/OK-VQA ↗
metadata API · from Hugging Face
Topics
- From keywords
- Computer Science & AI
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | HuggingFaceM4/OK-VQA | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · Hugging Face | connector:huggingface@1.0.0 | /gated |
| concepts[field].local:field:computer-science-ai | mapping · Hugging Face | connector:huggingface@1.0.0 | |
| created_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| description | source · Hugging Face | connector:huggingface@1.0.0 | /description |
| publication_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| title | source · Hugging Face | connector:huggingface@1.0.0 | /id |
| updated_date | source · Hugging Face | connector:huggingface@1.0.0 |