Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
Create README.md
Browse files
README.md
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---
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license: other
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task_categories:
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- text-generation
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size_categories:
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- 10K<n<100K
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language:
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- en
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tags:
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- chat
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- conversation
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- instruction-tuning
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- fanfiction
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- ao3
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pretty_name: AO3 Chat
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---
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# ao3_chat
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## Overview
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A reformatted version of the dataset
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[**`midwestern-simulation-active/ao3_random_subset`**](https://huggingface.co/datasets/midwestern-simulation-active/ao3_random_subset), converted into
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chat-style and instruction-tuning examples suitable for training
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chat-oriented language models.
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Each example consists of:
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- a **system** prompt derived from AO3 metadata
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- a **user** prompt requesting the contents of a specific work
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- an **assistant** response containing the full text (or a chunk thereof)
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This dataset is intended for supervised fine-tuning (SFT) of chat models.
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---
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## Structure
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The repository contains two representations of the same data:
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### `jsonl/`
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Line-delimited JSON files
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### `parquet/`
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Columnar Parquet files containing the same fields, suitable for
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efficient loading with PyArrow, Pandas, or Hugging Face Datasets.
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## Prompt Format
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### System
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Metadata extracted from AO3 entries (rating, fandoms, relationships,
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characters, tags, etc.).
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### User Prompt
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A request to provide the full text of a specific fanfiction work by title.
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### Assistant Response
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The original fanfiction text, optionally split into multiple parts for
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long works.
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## Source
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Original data:
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[`midwestern-simulation-active/ao3_random_subset`](https://huggingface.co/datasets/midwestern-simulation-active/ao3_random_subset)
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This dataset preserves the original text content and metadata, while
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changing only the formatting.
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## Notes
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* This dataset contains copyrighted material.
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* It is provided for research and experimentation purposes.
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* Users are responsible for complying with AO3’s terms of service and
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applicable copyright laws.
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## Intended Use
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- Chat model fine-tuning
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- Long-form text generation research
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