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cascip avatar

cascip/ChatAlpaca

0
View on GitHub↗
176 stars·16 forks·Python·Apache-2.0·13 views

ChatAlpaca

ChatAlpaca is a chat dataset that aims to help researchers develop models for instruction-following in multi-turn conversations. The dataset is an extension of the Stanford Alpaca data, which contains multi-turn instructions and their corresponding responses.

Features

  • Instruction Tuning Datasets - Multi-turn conversational data for instruction-following research.

Star history

Star history chart for cascip/chatalpacaStar history chart for cascip/chatalpaca

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with ChatAlpaca

These projects share indexed features with ChatAlpaca. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • instruction-tuning-with-gpt-4/gpt-4-llmInstruction-Tuning-with-GPT-4 avatar

    Instruction-Tuning-with-GPT-4/GPT-4-LLM

    4,335View on GitHub↗

    This project is an instruction tuning framework and synthetic data generator that uses high-capacity teacher models to produce instruction-following pairs for training smaller student models. It provides datasets and tools for supervised instruction tuning and reinforcement learning from human feedback. The framework specializes in cross-lingual tuning, offering high-quality instruction-following examples in English and Chinese to improve model generalization across different scripts. It includes a reward modeling tool for creating preference datasets and comparative ratings used to train rew

    HTMLalpacachatgptgpt-4
    View on GitHub↗4,335
  • lianjiatech/belleLianjiaTech avatar

    LianjiaTech/BELLE

    8,273View on GitHub↗

    BELLE is a specialized implementation of Chinese conversational large language models, encompassing a full instruction tuning framework. It provides a pipeline for training, evaluating, and deploying models optimized for natural language understanding and dialogue tasks in the Chinese language. The project is distinguished by its integrated approach to model refinement, combining the curation of multi-million entry instruction datasets with a distributed training pipeline. This pipeline supports both full fine-tuning and low-rank adaptation to optimize conversational performance. The system

    HTMLbloomchinese-nlpgpt-evaluation
    View on GitHub↗8,273
  • orhonovich/unnatural-instructionsorhonovich avatar

    orhonovich/unnatural-instructions

    181View on GitHub↗

    This repository contains the Unnatural Instructions dataset. Unnatural Instructions is a dataset of instructions automatically generated by a Large Language model. See full details in the paper: "Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor"

    View on GitHub↗181
  • gururise/alpacadatacleanedgururise avatar

    gururise/AlpacaDataCleaned

    1,602View on GitHub↗

    Alpaca dataset from Stanford, cleaned and curated

    Python
    View on GitHub↗1,602
Compare all 12 related projects→

Frequently asked questions

What does cascip/chatalpaca do?

ChatAlpaca is a chat dataset that aims to help researchers develop models for instruction-following in multi-turn conversations. The dataset is an extension of the Stanford Alpaca data, which contains multi-turn instructions and their corresponding responses.

What are the main features of cascip/chatalpaca?

The main features of cascip/chatalpaca are: Instruction Tuning Datasets.

Which projects share features with cascip/chatalpaca?

Projects with overlapping indexed features include: gururise/alpacadatacleaned — Alpaca dataset from Stanford, cleaned and curated. instruction-tuning-with-gpt-4/gpt-4-llm — This project is an instruction tuning framework and synthetic data generator that uses high-capacity teacher models to… lianjiatech/belle — BELLE is a specialized implementation of Chinese conversational large language models, encompassing a full instruction… orhonovich/unnatural-instructions — This repository contains the Unnatural Instructions dataset. Unnatural Instructions is a dataset of instructions… pku-alignment/safe-rlhf — Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback. project-baize/baize-chatbot — Let ChatGPT teach your own chatbot in hours with a single GPU!