# brightmart/nlp_chinese_corpus

大规模中文自然语言处理语料  Large Scale Chinese Corpus for NLP

Repository: https://github.com/brightmart/nlp_chinese_corpus
Canonical: https://ross.abutalabs.com/products/nlp_chinese_corpus
License: MIT
License Family: permissive
Topics: chinese-dataset, chinese-corpus, pretrain, word2vec, nlp, bert, language-model, wiki, news, question-answering, chinese, corpus, chinese-nlp, dataset, text-classification
Last push: 2026-02-06T11:42:20+00:00

## Health v2 (maintenance only)
Score: 52/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 66, release rhythm 8, longevity 100
- inputs: {"age_days": 2763, "days_push": 208, "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 9908, forks 1553 (observed 2026-08-28T04:10:38.771423+00:00)

## What it is
A collection of large-scale Chinese NLP corpora including Wikipedia entries, news articles, encyclopedia Q&A, community Q&A, and Chinese-English translation pairs. It provides millions of cleaned text records in JSON format for pretraining language models, building word vectors, and other Chinese NLP tasks.

## Use cases
- download large chinese corpus for pretraining
- train chinese word embeddings
- get chinese question-answering dataset
- find chinese-english parallel sentences for translation
- build chinese language model training data
- chinese text classification corpus

## When to choose
- you need millions of Chinese text records for pretraining or word vectors
- you want ready-to-use JSON corpora for Chinese NLP research
- you need Chinese-English translation pairs at scale

## When to avoid
- you need non-Chinese language corpora
- you need continuously updated real-time data rather than static snapshots
- you need labeled task-specific datasets beyond QA and translation

## Facets
- artifact type: dataset
- maturity: maintenance
- function: nlp, machine-learning, data-science
- domain: machine-learning, large-language-models
- platform: python, cross-platform
- tags: chinese-corpus, chinese-nlp, pretraining-data, word2vec, question-answering, machine-translation, text-classification, wiki-corpus, news-corpus, natural-language-processing

## Member repositories
- brightmart/nlp_chinese_corpus (main) score 52

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:38.771423+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 2026-08-29T17:20:19.452990+00:00, confidence not recorded.
  - readme: https://github.com/brightmart/nlp_chinese_corpus (fetched 2026-08-28T04:10:38.771423+00:00, sha dc69af59ee7e)
- Data as of 2026-08-30T08:39:29.467469+00:00.