README.md

metadata

annotations_creators:
  - machine-generated
language:
  - en
language_creators:
  - found
license:
  - cc-by-sa-4.0
multilinguality:
  - monolingual
pretty_name: ukiyo-e-face-blip2-captions
size_categories:
  - 1K<n<10K
source_datasets: []
tags: []
task_categories:
  - text-to-image
task_ids: []
dataset_info:
  features:
    - name: image
      dtype: image
    - name: caption
      dtype: string
  splits:
    - name: train
      num_bytes: 1220005044.691
      num_examples: 5209
  download_size: 1223926659
  dataset_size: 1220005044.691
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Dataset Card for ukiyo-e-face-blip2-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: https://www.justinpinkney.com/blog/2020/ukiyoe-dataset/
• Repository: https://github.com/py-img-gen/huggingface-datasets_ukiyo-e-face-blip2-captions

Dataset Summary

ukiyo-e-face-blip2-captions is a dataset that adds captions to Ukiyo-e face dataset using BLIP2 model.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

The language data in ukiyo-e-face-blip2-captions is in English.

Dataset Structure

Data Instances

import datasets as ds

dataset = ds.load_dataset("py-img-gen/ukiyo-e-face-blip2-captions")

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

Captions were added to the Ukio-e face dataset using BLIP2 (Salesforce/blip2-opt-2.7b).

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

This dataset is provided under a Creative Commons Attribution-ShareAlike 4.0 International License.

Citation Information

@misc{pinkney2020ukiyoe,
    author = {Pinkney, Justin N. M.},
    title = {Aligned Ukiyo-e faces dataset},
    year={2020},
    howpublished={\url{https://www.justinpinkney.com/blog/2020/ukiyoe-dataset}}
}
@misc{kitada2024ukiyoe,
    author = {Kitada, Shunsuke},
    title = {Ukiyo-e face blip2 captions dataset},
    year={2024},
    howpublished={\url{https://huggingface.co/datasets/py-img-gen/ukiyo-e-face-blip2-captions/settings}}
}

Contributions

Thanks to Justin Pinkney for constructing Ukiyo-e face dataset.