ConardLi

    ConardLi/easy-dataset

    A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval

    15.1K stars
    1.5K forks
    64 GitHub watchers
    Updated Nov 6, 2026
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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    No releases in the last 90 days; the most recent was 210 days ago, with 28 contributors on GitHub.

    Peaked at #15 in the weekly ranking the week of Feb 1, its best in the past year.

    Use Cases & Benefits

    • Provides a tool to create fine-tuning datasets for Large Language Models from unstructured documents using intelligent processing and question generation.
    • Enables efficient dataset creation with support for multiple document formats, intelligent text splitting, and compatibility with all OpenAI-format LLM APIs.
    • Use for transforming domain-specific documents into structured datasets to fine-tune LLMs for specialized knowledge tasks.
    • Use for generating high-quality question-answer pairs from diverse text sources to improve LLM evaluation and retrieval-augmented generation workflows.
    • Use for exporting datasets in various formats like Alpaca or ShareGPT to integrate with different LLM training pipelines and tools.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Other

    GitHub could not identify this license; read the LICENSE file before depending on it.

    Community files

    • README: present

    Watch-outs

    • License not identified by GitHub; read the LICENSE file before depending on it.
    • No commits in the last six months (last push May 2026).

    General guidance from repository metadata, not legal advice. How we score

    From the README

    A powerful tool for creating fine-tuning datasets for Large Language Models

    If you like this project, please give it a Star⭐️, or buy the author a coffee => Donate ❤️!

    Easy Dataset is an application specifically designed for creating fine-tuning datasets for Large Language Models (LLMs). It provides an intuitive interface for uploading domain-specific files, intelligently splitting content, generating questions, and producing high-quality training data for model fine-tuning.

    With Easy Dataset, you can transform domain knowledge into structured datasets, compatible with all LLM APIs that follow the OpenAI format, making the fine-tuning process simple and efficient.

    Excerpt from the ConardLi/easy-dataset README on GitHub (NOASSERTION license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    1.5K+22

    Open issues

    136+11

    Compared with peers in LLM

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

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