Flan1M Alpaca Uncensored Instruction Dataset

A synthetic text dataset for large language models, containing instruction-response pairs in English. The dataset was created by dataautogpt3 and last updated in December 2023.

Use Cases

• Fine-tune a language model on uncensored instruction-response pairs to improve instruction-following capability.
• Train a model for text generation tasks using the dataset's English language examples.
• Analyze the structure and patterns of synthetic instruction data for model alignment research.
• Use the dataset's text content for benchmarking model performance on open-ended prompts.

Strengths

• Dataset is specifically tagged for use with Large Language Models.
• Content is in English, a widely supported language for NLP.
• Last update was recorded on 2023-12 -19.

Limitations

• Core metadata such as row count, column structure, and file formats is unknown, hindering assessment of scale and usability.
• The synthetic nature of the text may introduce artifacts or biases not present in human-generated data.
• License and authoritative provenance details are unavailable, creating potential usage risks.

Provenance

Source

huggingface

Collection Method

Synthetic text generation, likely via automated processes.

Time Range

null

Freshness

Last updated 2023-12-19.

Geography

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