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Datasets:
WiNE-iNEFF
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NijiJoyrneyV5

Tasks:
Text-to-Image
Image-to-Text
Modalities:
Image
Tabular
Text
Formats:
csv
Languages:
English
Korean
Japanese
Size:
1K - 10K
Tags:
art
text2image
img2text
image generation
nijijoyrney
nijijoyrneyV5
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
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metadata
task_categories:
  - text-to-image
  - image-to-text
language:
  - en
  - ko
  - ja
  - zh
tags:
  - art
  - text2image
  - img2text
  - image generation
  - nijijoyrney
  - nijijoyrneyV5
pretty_name: NijiJoyrneyV5
size_categories:
  - 1K<n<10K
license: mit
dataset_info:
  features:
    - name: channel_id
      dtype: string
    - name: id
      dtype: string
    - name: url
      dtype: image
    - name: content
      dtype: string
configs:
  - config_name: English
    data_files: NijiJoyrneyV5_English.csv
    default: true
  - config_name: Korean
    data_files: NijiJoyrneyV5_Korean.csv
  - config_name: Japanese
    data_files: NijiJoyrneyV5_Japenese.csv
  - config_name: Chinese
    data_files: NijiJoyrneyV5_Chinese.csv

NijiJoyrney V5

NijiJoyrney V5 is a large-scale dataset scrape from official Discord server NijiJoyrney. All text description and images generated by users who use NijiJoyrney.

Dataset Structure 

$ tree
├── NijiJoyrneyV5
│   ├── readme.md
│   ├── NijiJoyrneyV5_English.csv
│   ├── NijiJoyrneyV5_Korean.csv
│   ├── NijiJoyrneyV5_Japanese.csv
│   ├── NijiJoyrneyV5_Chinese.csv

How to use 

from datasets import load_dataset

Niji_Eng = load_dataset("WiNE-iNEFF/NijiJoyrneyV5", "English")
Niji_Kor = load_dataset("WiNE-iNEFF/NijiJoyrneyV5", "Korean")
Niji_Jap = load_dataset("WiNE-iNEFF/NijiJoyrneyV5", "Japanese")
Niji_Chi = load_dataset("WiNE-iNEFF/NijiJoyrneyV5", "Chinese")

Dataset Details

Dataset Sources