# daochenzha/data-centric-AI

A curated, but incomplete, list of data-centric AI resources.

Repository: https://github.com/daochenzha/data-centric-AI
Canonical: https://ross.abutalabs.com/products/data-centric-ai
License Family: other
Topics: artificial-intelligence, data-centric-ai, ai, machine-learning, data-curation, data-centric, data-centric-machine-learning, data-science, data-quality, data-engineering
Last push: 2024-06-26T23:03:47+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 91
- inputs: {"age_days": 1275, "days_push": 798, "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 1158, forks 82 (observed 2026-08-28T04:03:48.388469+00:00)

## What it is
A curated awesome-list of data-centric AI resources, including survey papers, tutorials, blogs, and related projects. It selectively collects papers presenting distinct ideas in data-centric machine learning.

## Use cases
- find papers on data-centric AI
- learn about data quality and curation for machine learning
- get started with data-centric AI research
- find tutorials and surveys on data-centric machine learning
- discover data-centric AI tools and benchmarks

## When to choose
- you want a curated reading list on data-centric AI
- you are researching data quality and curation in ML
- you need survey papers and tutorials on the topic

## When to avoid
- you need runnable software or code libraries
- you need an exhaustive bibliography of every data-centric AI paper
- you need actively maintained tooling

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: artificial-intelligence, machine-learning, data-science, awesome-lists
- platform: cross-platform
- tags: awesome-list, data-centric-ai, data-curation, data-quality, curated-resources

## Member repositories
- daochenzha/data-centric-AI (main) score 30

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:48.388469+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 2026-08-30T06:31:57.017015+00:00, confidence not recorded.
  - readme: https://github.com/daochenzha/data-centric-AI (fetched 2026-08-28T04:03:48.388469+00:00, sha aae739febd8c)
- Data as of 2026-08-30T08:39:29.467469+00:00.