# niderhoff/nlp-datasets

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

Repository: https://github.com/niderhoff/nlp-datasets
Canonical: https://ross.abutalabs.com/products/nlp-datasets
License Family: other
Last push: 2023-02-15T13:58:35+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3814, "days_push": 1295, "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 5995, forks 983 (observed 2026-08-28T04:09:34.100626+00:00)

## What it is
A curated alphabetical list of free and public-domain text datasets for Natural Language Processing. It catalogs raw unstructured text corpora along with links to annotated corpora and Treebank sources.

## Use cases
- find free text datasets for NLP projects
- locate public domain corpora for language model training
- find datasets for chatbot training
- source text data for sentiment analysis research
- find large text corpora for machine learning experiments
- discover annotated corpora and treebanks for linguistics research

## When to choose
- you need a starting point to discover publicly available NLP text datasets
- you want free or public-domain corpora without licensing costs
- you need a variety of dataset types from reviews to web crawls to dialog corpora

## When to avoid
- you need a downloadable dataset package rather than a list of links
- you need curated, regularly updated datasets with guaranteed availability
- you need non-text multimodal datasets like images or audio

## Facets
- artifact type: dataset
- maturity: maintenance
- function: nlp, data-science, machine-learning
- domain: machine-learning, data-science, awesome-lists
- platform: cross-platform
- tags: text-corpus, public-domain-data, curated-list, corpus, text-data, natural-language-processing

## Member repositories
- niderhoff/nlp-datasets (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:34.100626+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 2026-08-29T17:49:50.633113+00:00, confidence not recorded.
  - readme: https://github.com/niderhoff/nlp-datasets (fetched 2026-08-28T04:09:34.100626+00:00, sha 28078092463f)
- Data as of 2026-08-30T08:39:29.467469+00:00.