|
--- |
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dataset_info: |
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features: |
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- name: images |
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sequence: string |
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- name: metadata |
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dtype: string |
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- name: general_metadata |
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dtype: string |
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- name: texts |
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sequence: string |
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splits: |
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- name: train |
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num_bytes: 715724717192 |
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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: OBELISC |
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size_categories: |
|
- 100M<n<1B |
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--- |
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# Dataset Card for OBELISC |
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## Dataset Description |
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- **Repository: https://github.com/huggingface/OBELISC** |
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- **Paper: OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents** |
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- **Point of Contact: hugo@huggingface.co** |
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### Dataset Summary |
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`OBELISC` is an open, massive and curated collection of interleaved image-text web documents, containing 141M documents, 115B text tokens and 353M images. |
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### Languages |
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English |
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### Visualization of OBELISC documents |
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https://huggingface.co/spaces/HuggingFaceM4/obelisc_visualization |
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### GitHub repository |
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https://github.com/huggingface/OBELISC |
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## Terms of Use |
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By using the dataset, you agree to comply with the original licenses of the source content as well as the dataset license (CC-BY-4.0). Additionally, if you use this dataset to train a Machine Learning model, you agree to disclose your use of the dataset when releasing the model or an ML application using the model. |
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### Licensing Information |
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License CC-BY-4.0. |
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### Citation Information |
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If you are using this dataset, please cite |
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``` |
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@inproceedings{ |
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lauren{\c{c}}on2023obe, |
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title={OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text 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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} |
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``` |
