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  num_examples: 141047697
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  download_size: 71520629655
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  dataset_size: 715724717192
 
 
 
 
 
 
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  ---
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- # Dataset Card for "web_document_dataset"
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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  num_examples: 141047697
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  download_size: 71520629655
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  dataset_size: 715724717192
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+ license: cc-by-4.0
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+ language:
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+ - en
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+ pretty_name: OBELICS
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+ size_categories:
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+ - 100M<n<1B
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  ---
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+ # Dataset Card for OBELICS
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+ ## Dataset Description
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+
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+ - **Repository: https://github.com/huggingface/OBELICS**
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+ - **Paper: OBELICS: An Open, Massive and Curated Collection of Interleaved Image-Text Web Documents**
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+ - **Point of Contact: hugo@huggingface.co**
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+
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+ ### Dataset Summary
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+
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+ `OBELICS` is an open, massive and curated collection of interleaved image-text web documents, containing 141M documents, 115B tokens and 353M images.
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+
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+ ### Languages
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+
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+ English
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+
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+ ## Considerations for Using the Data
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+
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+ `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.
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+
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+ ### Licensing Information
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+
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+ License CC-BY.
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+
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+ ### Citation Information
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+
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+ If you are using this dataset, please cite
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+ @inproceedings{
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+ lauren{\c{c}}on2023obe,
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+ title={OBELICS: An Open, Massive and Curated Collection of Interleaved Image-Text Web Documents},
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+ 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},
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+ year={2023},
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+ url={https://openreview.net/forum?id=SKN2hflBIZ}
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+ }