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---
dataset_info:
features:
- name: images
sequence: string
- name: metadata
dtype: string
- name: general_metadata
dtype: string
- name: texts
sequence: string
splits:
- name: train
num_bytes: 715724717192
num_examples: 141047697
download_size: 71520629655
dataset_size: 715724717192
license: cc-by-4.0
language:
- en
pretty_name: OBELICS
size_categories:
- 100M<n<1B
---
# Dataset Card for OBELICS
## Dataset Description
- **Repository: https://github.com/huggingface/OBELICS**
- **Paper: OBELICS: An Open, Massive and Curated Collection of Interleaved Image-Text Web Documents**
- **Point of Contact: [email protected]**
### Dataset Summary
`OBELICS` is an open, massive and curated collection of interleaved image-text web documents, containing 141M documents, 115B tokens and 353M images.
### Languages
English
## Considerations for Using the Data
`OBELICS` is released under the Creative Commons Attribution (CC-BY) license. By using this dataset, you accept the terms of the CC-BY license. The authors bear no responsibility for any violations of rights or misuse of the data.
### Licensing Information
License CC-BY.
### Citation Information
If you are using this dataset, please cite
@inproceedings{
lauren{\c{c}}on2023obe,
title={OBELICS: An Open, Massive and Curated Collection of Interleaved Image-Text Web Documents},
author={Hugo Lauren{\c{c}}on and Lucile Saulnier and L{\'e}o Tronchon and Stas Bekman and Amanpreet Singh and Anton Lozhkov and Thomas Wang and Siddharth Karamcheti and Alexander M Rush and Douwe Kiela and Matthieu Cord and Victor Sanh},
year={2023},
url={https://openreview.net/forum?id=SKN2hflBIZ}
} |