# Guang000/Awesome-Dataset-Distillation

A curated list of awesome papers on dataset distillation and related applications.

Repository: https://github.com/Guang000/Awesome-Dataset-Distillation
Canonical: https://ross.abutalabs.com/products/awesome-dataset-distillation
Homepage: https://guang000.github.io/Awesome-Dataset-Distillation/
Language: HTML
License: MIT
License Family: permissive
Topics: awesome-list, deep-learning
Last push: 2026-08-15T02:58:15+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 97, release rhythm 35, longevity 100
- inputs: {"age_days": 1547, "days_push": 18, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1969, forks 181 (observed 2026-08-28T04:06:00.713658+00:00)

## What it is
A curated awesome-list of papers, code, and project pages on dataset distillation and dataset condensation, maintained by researchers in the field. It tracks the research landscape with paper statistics, citations, and regular updates.

## Use cases
- find papers on dataset distillation
- survey the dataset condensation research field
- get started learning about dataset distillation
- find code implementations for dataset distillation methods
- track new dataset distillation papers each year
- find bibtex citations for dataset distillation papers

## When to choose
- you are researching or surveying dataset distillation and condensation
- you need a comprehensive, regularly updated paper list with code links
- you want citations and project pages for distillation methods

## When to avoid
- you need runnable dataset distillation software rather than a paper list
- you are looking for general knowledge distillation of neural networks
- you need a tool or library rather than a reference resource

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, data-science, documentation
- domain: machine-learning, deep-learning, awesome-lists, data-science
- platform: -
- tags: awesome-list, dataset-distillation, dataset-condensation, papers, research, curated-list, web-server

## Member repositories
- Guang000/Awesome-Dataset-Distillation (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:00.713658+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 2026-08-30T03:05:08.620997+00:00, confidence not recorded.
  - readme: https://github.com/Guang000/Awesome-Dataset-Distillation (fetched 2026-08-28T04:06:00.713658+00:00, sha 9a2b4f6fdc95)
  - homepage: https://guang000.github.io/Awesome-Dataset-Distillation/ (fetched 2026-08-29T10:44:38.444338+00:00, sha cc7b4d9b0da6)
- Data as of 2026-08-30T08:39:29.467469+00:00.