basic dataset card

README.md

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+---
+license: cc-by-2.0
+---
+# Dataset Card for NoCaps
+
+## Table of Contents
+- [Table of Contents](#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://nocaps.org/](https://nocaps.org/)
+- **Paper:** [nocaps: novel object captioning at scale](https://openaccess.thecvf.com/content_ICCV_2019/papers/Agrawal_nocaps_novel_object_captioning_at_scale_ICCV_2019_paper.pdf)
+- **Leaderboard:**
+- **Point of Contact:**: [email protected]
+
+### Dataset Summary
+
+Dubbed NoCaps for novel object captioning at scale, NoCaps consists of 166,100 human-generated captions describing 15,100 images from the Open Images validation and test sets.
+The associated training data consists of COCO image-caption pairs, plus Open Images image-level labels and object bounding boxes.
+Since Open Images contains many more classes than COCO, nearly 400 object classes seen in test images have no or very few associated training captions (hence, nocaps).
+
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+[More Information Needed]
+
+## Dataset Structure
+
+### Data Instances
+
+Each instance has the following structure:
+```
+{
+    'image': <PIL.JpegImagePlugin.JpegImageFile image mode=L size=732x1024 at 0x7F574A3A9B50>,
+    'image_coco_url': 'https://s3.amazonaws.com/nocaps/val/0013ea2087020901.jpg',
+    'image_date_captured': '2018-11-06 11:04:33',
+    'image_file_name': '0013ea2087020901.jpg',
+    'image_height': 1024,
+    'image_width': 732,
+    'image_id': 0,
+    'image_license': 0,
+    'image_open_images_id': '0013ea2087020901',
+    'annotations_ids': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
+    'annotations_captions': [
+        'A baby is standing in front of a house.',
+        'A little girl in a white jacket and sandals.',
+        'A young child stands in front of a house.',
+        'A child is wearing a white shirt and standing on a side walk. ',
+        'A little boy is standing in his diaper with a white shirt on.',
+        'A child wearing a diaper and shoes stands on the sidewalk.',
+        'A child is wearing a light-colored shirt during the daytime.',
+        'A little kid standing on the pavement in a shirt. ',
+        'Black and white photo of a little girl smiling.',
+        'a cute baby is standing alone with white shirt'
+    ]
+}
+```
+
+### Data Fields
+
+- `image`: The image
+- `image_coco_url`: URL for the image
+- `image_date_captured`: Date at which the image was captured
+- `image_file_name`: The file name for the image
+- `image_height`: Height of the image
+- `image_width`: Width of the image
+- `image_id`: Id of the image
+- `image_license`: Not sure what this is, it is always at 0
+- `image_open_images_id`: Open image id
+- `annotations_ids`: Unique ids for the captions (to use in conjunction with `annotations_captions`)
+- `annotations_captions`: Captions for the image (to use in conjunction with `annotations_ids`)
+
+### Data Splits
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+[More Information Needed]
+
+### Contributions
+
+Thanks to [@VictorSanh](https://github.com/VictorSanh) for adding this dataset.