# didi/ChineseNLP

Datasets, SOTA results of every fields of Chinese NLP

Repository: https://github.com/didi/ChineseNLP
Canonical: https://ross.abutalabs.com/products/chinesenlp
Homepage: https://chinesenlp.xyz
Language: HTML
License Family: other
Topics: nlp, chinese-nlp, machine-translation, chinese-word-segmentation, entity-linking, question-answering, nlp-tasks
Archived: true
Last push: 2022-04-07T22:30:06+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2666, "days_push": 1609, "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 1805, forks 260 (observed 2026-08-28T04:05:38.986794+00:00)

## What it is
A curated catalog of datasets, shared tasks, and state-of-the-art results across many Chinese NLP tasks such as machine translation, word segmentation, and question answering. It is maintained by DiDi AI Labs as a reference resource rather than runnable software.

## Use cases
- find datasets for Chinese NLP tasks
- look up state-of-the-art results for Chinese machine translation
- find benchmarks for Chinese word segmentation
- research Chinese question answering datasets
- compare SOTA models for Chinese sentiment analysis

## When to choose
- you need a directory of Chinese NLP datasets and leaderboards
- you are researching the state of the art in Chinese NLP

## When to avoid
- you need runnable NLP code or a library
- you work only with non-Chinese languages

## Facets
- artifact type: dataset
- maturity: maintenance
- function: nlp, machine-learning
- domain: machine-learning, documentation
- platform: -
- tags: chinese-nlp, awesome-list, datasets, state-of-the-art, reference, natural-language-processing, web-server

## Member repositories
- didi/ChineseNLP (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:38.986794+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 2026-08-30T03:21:33.400295+00:00, confidence not recorded.
  - readme: https://github.com/didi/ChineseNLP (fetched 2026-08-28T04:05:38.986794+00:00, sha 2997e0e8b5fa)
  - homepage: https://chinesenlp.xyz (fetched 2026-08-29T11:00:32.114668+00:00, sha 6e33927e1b2e)
- Data as of 2026-08-30T08:39:29.467469+00:00.