shunk031/huggingface-datasets_STAIR-Captions

STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset for huggingface datasets

annotations_creators	language	language_creators	license	multilinguality	pretty_name	size_categories	source_datasets	tags	task_categories	task_ids
crowdsourced	ja	found	cc-by-4.0	monolingual	STAIR Captions is a large-scale dataset containing 820,310 Japanese captions.	100K<n<1M	extended|MSCOCO	image-captioning mscoco	image-to-text	image-captioning

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.