Update README.md

README.md

@@ -3,4 +3,75 @@ license: other
 license_name: conceptual-captions
 license_link: >-
   https://github.com/google-research-datasets/conceptual-captions/blob/master/LICENSE
+task_categories:
+- image-to-text
+size_categories:
+- 1M<n<10M
 ---
+
+# Dataset Card for Conceptual Captions (CC3M)
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** [Conceptual Captions homepage](https://ai.google.com/research/ConceptualCaptions/)
+- **Repository:** [Conceptual Captions repository](https://github.com/google-research-datasets/conceptual-captions)
+- **Paper:** [Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning](https://www.aclweb.org/anthology/P18-1238/)
+- **Leaderboard:** [Conceptual Captions leaderboard](https://ai.google.com/research/ConceptualCaptions/competition?active_tab=leaderboard)https://ai.google.com/research/ConceptualCaptions/leaderboard?active_tab=leaderboard
+- **Point of Contact:** [Conceptual Captions e-mail](mailto:[email protected])
+
+### Dataset Summary
+
+Conceptual Captions is a dataset consisting of ~3.3M images annotated with captions. In contrast with the curated style of other image caption annotations, Conceptual Caption images and their raw descriptions are harvested from the web, and therefore represent a wider variety of styles. More precisely, the raw descriptions are harvested from the Alt-text HTML attribute associated with web images. To arrive at the current version of the captions, we have developed an automatic pipeline that extracts, filters, and transforms candidate image/caption pairs, with the goal of achieving a balance of cleanliness, informativeness, fluency, and learnability of the resulting captions.
+
+### Usage
+
+This instance of Conceptual Captions is in [webdataset](https://github.com/webdataset/webdataset/commits/main) .tar format. It can be used with webdataset library or upcoming releases of Hugging Face `datasets`.
+
+...More Detail TBD
+
+### Data Splits
+
+This dataset was downloaded using img2dataset.
+
+#### Train
+* `cc3m-train-*.tar`
+* Downloaded on 2021/12/22
+* 576 shards, 2905954 samples
+
+#### Validation
+* `cc3m-validation-*.tar`
+* Downloaded on 2023/12/13 (original validation set download in 2021 was corrupted)
+* 16 shards, 15840 samples
+
+## Additional Information
+
+### Dataset Curators
+
+Piyush Sharma, Nan Ding, Sebastian Goodman and Radu Soricut.
+
+### Licensing Information
+
+The dataset may be freely used for any purpose, although acknowledgement of
+Google LLC ("Google") as the data source would be appreciated. The dataset is
+provided "AS IS" without any warranty, express or implied. Google disclaims all
+liability for any damages, direct or indirect, resulting from the use of the
+dataset.
+
+### Citation Information
+
+```bibtex
+@inproceedings{sharma2018conceptual,
+  title = {Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning},
+  author = {Sharma, Piyush and Ding, Nan and Goodman, Sebastian and Soricut, Radu},
+  booktitle = {Proceedings of ACL},
+  year = {2018},
+}
+```