README.md

metadata

annotations_creators:
  - crowdsourced
language:
  - ja
language_creators:
  - found
license:
  - cc-by-4.0
multilinguality:
  - monolingual
pretty_name: STAIR Captions is a large-scale dataset containing 820,310 Japanese captions.
size_categories:
  - 100K<n<1M
source_datasets:
  - extended|MSCOCO
tags:
  - image-captioning
  - mscoco
task_categories:
  - image-to-text
task_ids:
  - image-captioning
dataset_info:
  - config_name: v1.0.0
    features:
      - name: image_id
        dtype: int64
      - name: image
        dtype: image
      - name: file_name
        dtype: string
      - name: coco_url
        dtype: string
      - name: height
        dtype: int32
      - name: width
        dtype: int32
      - name: date_captured
        dtype: string
      - name: flickr_url
        dtype: string
      - name: license_id
        dtype: int32
      - name: license
        struct:
          - name: url
            dtype: string
          - name: license_id
            dtype: int8
          - name: name
            dtype: string
      - name: annotations
        sequence:
          - name: annotation_id
            dtype: int64
          - name: image_id
            dtype: int64
          - name: caption
            dtype: string
    splits:
      - name: train
        num_bytes: 13636500472.001
        num_examples: 82783
      - name: validation
        num_bytes: 6856928794.552
        num_examples: 40504
    download_size: 20132168975
    dataset_size: 20493429266.553
  - config_name: v1.1.0
    features:
      - name: image_id
        dtype: int64
      - name: image
        dtype: image
      - name: file_name
        dtype: string
      - name: coco_url
        dtype: string
      - name: height
        dtype: int32
      - name: width
        dtype: int32
      - name: date_captured
        dtype: string
      - name: flickr_url
        dtype: string
      - name: license_id
        dtype: int32
      - name: license
        struct:
          - name: url
            dtype: string
          - name: license_id
            dtype: int8
          - name: name
            dtype: string
      - name: annotations
        sequence:
          - name: annotation_id
            dtype: int64
          - name: image_id
            dtype: int64
          - name: caption
            dtype: string
    splits:
      - name: train
        num_bytes: 13636500472.001
        num_examples: 82783
      - name: validation
        num_bytes: 6856928794.552
        num_examples: 40504
    download_size: 20132168975
    dataset_size: 20493429266.553
  - config_name: v1.2.0
    features:
      - name: image_id
        dtype: int64
      - name: image
        dtype: image
      - name: file_name
        dtype: string
      - name: coco_url
        dtype: string
      - name: height
        dtype: int32
      - name: width
        dtype: int32
      - name: date_captured
        dtype: string
      - name: flickr_url
        dtype: string
      - name: license_id
        dtype: int32
      - name: license
        struct:
          - name: url
            dtype: string
          - name: license_id
            dtype: int8
          - name: name
            dtype: string
      - name: annotations
        sequence:
          - name: annotation_id
            dtype: int64
          - name: image_id
            dtype: int64
          - name: caption
            dtype: string
    splits:
      - name: train
        num_bytes: 13635411411.001
        num_examples: 82783
      - name: validation
        num_bytes: 6856395884.552
        num_examples: 40504
    download_size: 20131797179
    dataset_size: 20491807295.553
  - config_name: v1.2.0-tokenized
    features:
      - name: image_id
        dtype: int64
      - name: image
        dtype: image
      - name: file_name
        dtype: string
      - name: coco_url
        dtype: string
      - name: height
        dtype: int32
      - name: width
        dtype: int32
      - name: date_captured
        dtype: string
      - name: flickr_url
        dtype: string
      - name: license_id
        dtype: int32
      - name: license
        struct:
          - name: url
            dtype: string
          - name: license_id
            dtype: int8
          - name: name
            dtype: string
      - name: annotations
        sequence:
          - name: annotation_id
            dtype: int64
          - name: image_id
            dtype: int64
          - name: caption
            dtype: string
    splits:
      - name: train
        num_bytes: 13635411411.001
        num_examples: 82783
      - name: validation
        num_bytes: 6856395884.552
        num_examples: 40504
    download_size: 20131797179
    dataset_size: 20491807295.553
configs:
  - config_name: v1.0.0
    data_files:
      - split: train
        path: v1.0.0/train-*
      - split: validation
        path: v1.0.0/validation-*
  - config_name: v1.1.0
    data_files:
      - split: train
        path: v1.1.0/train-*
      - split: validation
        path: v1.1.0/validation-*
  - config_name: v1.2.0
    data_files:
      - split: train
        path: v1.2.0/train-*
      - split: validation
        path: v1.2.0/validation-*
  - config_name: v1.2.0-tokenized
    data_files:
      - split: train
        path: v1.2.0-tokenized/train-*
      - split: validation
        path: v1.2.0-tokenized/validation-*

Dataset Card for STAIR-Captions

Table of Contents

• Dataset Card Creation Guide
  • Table of Contents
  • Dataset Description
    • Dataset Summary
    • Supported Tasks and Leaderboards
    • Languages
  • Dataset Structure
    • Data Instances
    • Data Fields
    • Data Splits
  • Dataset Creation
    • Curation Rationale
    • Source Data
      • Initial Data Collection and Normalization
      • Who are the source language producers?
    • Annotations
      • Annotation process
      • Who are the annotators?
    • Personal and Sensitive Information
  • Considerations for Using the Data
    • Social Impact of Dataset
    • Discussion of Biases
    • Other Known Limitations
  • Additional Information
    • Dataset Curators
    • Licensing Information
    • Citation Information
    • Contributions

Dataset Description

• Homepage: http://captions.stair.center/
• Repository: https://github.com/shunk031/huggingface-datasets_STAIR-Captions
• Paper (Preprint): https://arxiv.org/abs/1705.00823
• Paper (ACL'17): https://aclanthology.org/P17-2066/
• Point of Contact: info_AT_stair.center

Dataset Summary

STAIR Captions is a large-scale dataset containing 820,310 Japanese captions. This dataset can be used for caption generation, multimodal retrieval, and image generation.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

The language data in JDocQA is in Japanese (BCP-47 ja-JP).

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

[More Information Needed]

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

[More Information Needed]

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

Creative Commons Attribution 4.0 License.

Citation Information

@inproceedings{yoshikawa2017stair,
  title={STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset},
  author={Yoshikawa, Yuya and Shigeto, Yutaro and Takeuchi, Akikazu},
  booktitle={Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  pages={417--421},
  year={2017}
}

Contributions

Thanks to @yuyay for creating this dataset.