Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
json
Languages:
English
Size:
1K - 10K
ArXiv:
Tags:
document-question-answering
visual-question-answering
multimodal
grounding
scientific-documents
Download PDF.tar from Yuwh07/SciEGQA-Bench: direct link, hf CLI and curl.
- Browser
- Download file 132 MB
-
https://huggingface.co/datasets/Yuwh07/SciEGQA-Bench/resolve/main/PDF.tar
- Command line
-
hf download hf://datasets/Yuwh07/SciEGQA-Bench/PDF.tar
-
curl -L -o PDF.tar https://huggingface.co/datasets/Yuwh07/SciEGQA-Bench/resolve/main/PDF.tar
132 MB
- Xet hash:
- e643b72ddf3a9c4617af3bbd1bac0ca85e9cf903c03122747f289e48236d109b
- Size of remote file:
- 132 MB
- SHA256:
- d15569aefec7339ebd360a19d946b384b5ced07b8ffda941f0dfa3494b9f7a16
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.