# kakaobrain/coyo-dataset

COYO-700M: Large-scale Image-Text Pair Dataset

Repository: https://github.com/kakaobrain/coyo-dataset
Canonical: https://ross.abutalabs.com/products/coyo-dataset
Homepage: https://kakaobrain.com/contents?contentId=7eca73e3-3089-43cb-b701-332e8a1743fd
Language: Python
License Family: other
Archived: true
Last push: 2022-11-30T06:54:50+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1464, "days_push": 1372, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1255, forks 38 (observed 2026-08-28T04:04:08.924685+00:00)

## What it is
COYO-700M is a large-scale dataset of 747M image-text pairs scraped from CommonCrawl HTML documents, with extensive image- and text-level filtering and meta-attributes. The repository provides documentation, download tooling, and subset releases like COYO-Labeled-300M for training vision-language foundation models.

## Use cases
- train text-to-image diffusion models
- pretrain CLIP-style contrastive vision-language models
- get large-scale image caption pairs for multimodal research
- download a web-crawled image-text dataset as an alternative to LAION
- filter and prepare web-scraped training data
- train large-scale vision-language foundation models

## When to avoid
- you need curated, human-annotated image captions
- you only need a small clean dataset for fine-tuning
- you require a permissive license - the repo has no license file

## Facets
- artifact type: dataset
- maturity: maintenance
- function: machine-learning, data-science, etl
- domain: machine-learning, computer-vision, artificial-intelligence
- platform: python, cross-platform
- tags: image-text-pairs, multimodal, vision-language, common-crawl, foundation-models, text-to-image, alt-text, natural-language-processing

## Member repositories
- kakaobrain/coyo-dataset (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:08.924685+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 2026-08-30T05:07:20.249384+00:00, confidence not recorded.
  - readme: https://github.com/kakaobrain/coyo-dataset (fetched 2026-08-28T04:04:08.924685+00:00, sha d204e3a4c8a7)
- Data as of 2026-08-30T08:39:29.467469+00:00.