sal4ahm/RealCQA
RealCQA: Real-World Complex Question Answering Dataset This repository contains the dataset used in the paper "RealCQA: Scientific Chart Question Answering as a Test-Bed for First-Order Logic" (ICDAR 2023). The dataset is designed to facilitate research in complex question answering, involving a diverse set of real-world images and associated textual question-answer pairs. Dataset Overview The RealCQA dataset consists of 28,266 images, and corresponding 2 million… See the full description on the dataset page: https://huggingface.co/datasets/sal4ahm/RealCQA.
| Author / organization | sal4ahm |
|---|---|
| License (as declared) | mit |
| Downloads | 10.5K (as reported by Hugging Face) |
| Likes | 5 |
| Created | 1 February 2024 |
| Last updated at source | 9 September 2024 |
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 14 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.