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README.md

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 license: mit
+language:
+- en
+paperswithcode_id: embedding-data/coco_captions
+pretty_name: coco_captions
+
 ---
+
+# Dataset Card for "coco_captions"
+
+## Table of Contents
+
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+  
+## Dataset Description
+- **Homepage:** [https://cocodataset.org/#home](https://cocodataset.org/#home)
+- **Repository:** [https://github.com/cocodataset/cocodataset.github.io](https://github.com/cocodataset/cocodataset.github.io)
+- **Paper:** [More Information Needed](https://arxiv.org/abs/1405.0312)
+- **Point of Contact:** [[email protected]]([email protected])
+- **Size of downloaded dataset files:** 
+- **Size of the generated dataset:** 
+- **Total amount of disk used:** 6.32 MB
+
+### Dataset Summary
+
+COCO is a large-scale object detection, segmentation, and captioning dataset. COCO has several features:
+
+- Object segmentation
+- Recognition in context
+- Superpixel stuff segmentation
+- 330K images (>200K labeled)
+- 1.5 million object instances
+- 80 object categories
+- 91 stuff categories
+- 5 captions per image
+- 250,000 people with keypoints
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed](https://cocodataset.org/#home)
+
+### Languages
+
+[More Information Needed](https://cocodataset.org/#home)
+
+## Dataset Structure
+
+[More Information Needed](https://cocodataset.org/#format-data)
+
+### Data Instances
+
+[More Information Needed](https://cocodataset.org/#format-data)
+
+### Data Splits
+
+[More Information Needed](https://cocodataset.org/#format-data)
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed](https://cocodataset.org/#home)
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed](https://cocodataset.org/#home)
+
+#### Who are the source language producers?
+
+[More Information Needed](https://cocodataset.org/#home)
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed](https://cocodataset.org/#home)
+
+#### Who are the annotators?
+
+[More Information Needed](https://cocodataset.org/#home)
+
+### Personal and Sensitive Information
+
+[More Information Needed](https://cocodataset.org/#home)
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed](https://cocodataset.org/#home)
+
+### Discussion of Biases
+
+[More Information Needed](https://cocodataset.org/#home)
+
+### Other Known Limitations
+
+[More Information Needed](https://cocodataset.org/#home)
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed](https://cocodataset.org/#home)
+
+### Licensing Information
+
+The annotations in this dataset along with this website belong to the COCO Consortium 
+and are licensed under a [Creative Commons Attribution 4.0 License](https://creativecommons.org/licenses/by/4.0/legalcode)
+
+### Citation Information
+
+[More Information Needed](https://cocodataset.org/#home)
+
+### Contributions
+
+Thanks to:
+
+- Tsung-Yi Lin - Google Brain
+- Genevieve Patterson - MSR, Trash TV
+- Matteo R. - Ronchi Caltech
+- Yin Cui - Google
+- Michael Maire - TTI-Chicago
+- Serge Belongie - Cornell Tech
+- Lubomir Bourdev - WaveOne, Inc.
+- Ross Girshick - FAIR
+- James Hays - Georgia Tech
+- Pietro Perona - Caltech
+- Deva Ramanan - CMU
+- Larry Zitnick - FAIR
+- Piotr Dollár - FAIR
+
+for adding this dataset.