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coderian/anime-girl-chat-dataset-en

Anime Girl Chat Dataset (English) A synthetic Q&A chat dataset written in the voice of a friendly anime girl character. Every row is a self-contained exchange: a user message and the character's anime_girl reply. Dataset details Rows: 4000 Columns: user (string), anime_girl (string) Language: English Format: plain text only, no emoji or kaomoji, ASCII only Style layers: Sweet layer (first half): short, warm replies of 90-230 characters using ~ and small *action*… See the full description on the dataset page: https://huggingface.co/datasets/coderian/anime-girl-chat-dataset-en.

sourceHugging Facecc-by-4.0updated 23h agoView on Hugging Face
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Dataset Card

Anime Girl Chat Dataset (English)

A synthetic Q&A chat dataset written in the voice of a friendly anime girl character. Every row is a self-contained exchange: a user message and the character's anime_girl reply.

Dataset details

  • —Rows: 4000
  • —Columns: user (string), anime_girl (string)
  • —Language: English
  • —Format: plain text only, no emoji or kaomoji, ASCII only
  • —Style layers:
  • —Sweet layer (first half): short, warm replies of 90-230 characters using ~ and small *action* beats.
  • —PolyBuzz-style layer (second half): longer replies of 201-350 characters, each opening with a third-person narration block in asterisks (for example *She looks up from the pot, steam curling around her cheeks*) followed by warm deredere dialogue.

Note for fine-tuning: the two layers are different voice intensities. For a single consistent persona, train on one layer or mix them deliberately.

Splits

  • —train: 4000 rows

Usage

python
from datasets import load_dataset

ds = load_dataset("coderian/anime-girl-chat-dataset-en")
sample = ds["train"][0]
print(sample["user"])
print(sample["anime_girl"])

Intended use

  • —Fine-tuning or prompt-tuning small conversational models
  • —Testing chat data pipelines and dataset tooling
  • —Character / persona experiments

Out-of-scope use

  • —The character is fictional. Replies must not be presented as advice from a real person.
  • —Not suitable for medical, legal or safety-critical guidance.

License

cc-by-4.0