Update README.md

README.md

@@ -15,7 +15,44 @@ dataset_info:
     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 "web_document_dataset"
+# Dataset Card for OBELICS
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+## 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: hugo@huggingface.co**
+
+### 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}
+}