# sebastianruder/NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Repository: https://github.com/sebastianruder/NLP-progress
Canonical: https://ross.abutalabs.com/products/nlp-progress
Homepage: https://nlpprogress.com/
Language: Python
License: MIT
License Family: permissive
Topics: natural-language-processing, machine-learning, named-entity-recognition, machine-translation, nlp-tasks, dialogue
Last push: 2024-07-28T00:44:25+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2994, "days_push": 767, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 22952, forks 3589 (observed 2026-08-28T04:11:34.252992+00:00)

## What it is
A community-maintained repository and website tracking state-of-the-art results across the most common NLP tasks, with datasets, papers, and leaderboards. It covers English plus many other languages including Vietnamese, Hindi, Chinese, and more.

## Use cases
- find state-of-the-art results for named entity recognition
- look up benchmark datasets for machine translation
- compare NLP model performance across tasks
- find the best question answering models
- research current NLP progress for a paper
- find datasets for sentiment analysis

## When to choose
- you need to know the current state of the art for an NLP task
- you are looking for standard benchmark datasets and papers
- you want a curated reference of NLP task results

## When to avoid
- you need runnable NLP code or a library
- you need real-time leaderboard updates
- you need tasks or languages not yet covered by the repository

## Facets
- artifact type: learning-resource
- maturity: active
- function: nlp, documentation, benchmarking
- domain: machine-learning, tutorials
- platform: -
- tags: state-of-the-art, nlp-tasks, datasets, leaderboards, reference, natural-language-processing, web-server

## Member repositories
- sebastianruder/NLP-progress (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:34.252992+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 2026-08-29T16:56:50.138888+00:00, confidence not recorded.
  - readme: https://github.com/sebastianruder/NLP-progress (fetched 2026-08-28T04:11:34.252992+00:00, sha 0e1e41517494)
  - homepage: https://nlpprogress.com/ (fetched 2026-08-29T07:54:51.228199+00:00, sha 81e85ff0a453)
- Data as of 2026-08-30T08:39:29.467469+00:00.