# yaodongC/awesome-instruction-dataset

A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)

Repository: https://github.com/yaodongC/awesome-instruction-dataset
Canonical: https://ross.abutalabs.com/products/awesome-instruction-dataset
License Family: other
Topics: llama, awsome-lists, datasets, gpt-3, gpt-4, instruction-following, instruction-tuning, language-model
Last push: 2024-01-04T21:14:59+00:00

## Health v2 (maintenance only)
Score: 30/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 89
- inputs: {"age_days": 1253, "days_push": 972, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1154, forks 55 (observed 2026-08-28T04:03:47.596984+00:00)

## What it is
A curated awesome-list of open-source instruction tuning datasets for training text and multimodal instruction-following LLMs like ChatGPT, LLaMA, and Alpaca. It catalogs datasets with size, language, task, and generation-method tags, including visual instruction tuning and RLHF/red-teaming datasets.

## Use cases
- find open datasets to fine-tune an instruction-following LLM
- locate RLHF and red-teaming datasets for chat model training
- compare instruction tuning datasets by size and language
- find multimodal image-instruction-answer datasets for vision-language models
- source training data for building an Alpaca or LLaMA-style model

## When to choose
- you need a curated index of instruction tuning and RLHF datasets
- you are training or fine-tuning a chat LLM and want training data options
- you want both text and visual instruction datasets in one place

## When to avoid
- you need the datasets themselves rather than links to them
- you want actively maintained, up-to-date dataset listings
- you need a tool or library for dataset processing rather than a catalog

## Facets
- artifact type: dataset
- maturity: maintenance
- function: machine-learning, llm-training, data-science
- domain: large-language-models, machine-learning, artificial-intelligence, awesome-lists
- platform: cross-platform
- tags: instruction-tuning, rlhf, llm-datasets, awesome-list, multimodal, fine-tuning, chat-models

## Member repositories
- yaodongC/awesome-instruction-dataset (main) score 30

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:47.596984+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:33:24.427506+00:00, confidence not recorded.
  - readme: https://github.com/yaodongC/awesome-instruction-dataset (fetched 2026-08-28T04:03:47.596984+00:00, sha 3e7f452b1e5b)
- Data as of 2026-08-30T08:39:29.467469+00:00.