# codemayq/chinese-chatbot-corpus

中文公开聊天语料库

Repository: https://github.com/codemayq/chinese-chatbot-corpus
Canonical: https://ross.abutalabs.com/products/chinese-chatbot-corpus
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2024-04-23T03:30:29+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": 2859, "days_push": 862, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4194, forks 777 (observed 2026-08-28T04:08:38.849104+00:00)

## What it is
A curated collection and unified processing pipeline for publicly available Chinese chit-chat conversation corpora, aggregating eight sources (Douban, Weibo, PTT, Qingyun, subtitles, Tieba, Xiaohuangji, ChatterBot) into standardized TSV query-answer pairs. It provides a Python script that downloads, converts traditional characters, and normalizes all corpora in one run.

## Use cases
- download chinese chatbot training data
- get cleaned chinese conversation corpus for seq2seq
- train a chinese chit-chat dialogue model
- prepare query answer pairs for retrieval chatbot
- unify multiple chinese dialogue datasets into one format
- find open chinese small-talk corpus for nlp research

## When to choose
- you need ready-to-use Chinese casual conversation data for training or fine-tuning a chatbot
- you want to avoid manually collecting and reformatting many heterogeneous Chinese dialogue sources
- you need TSV query-answer pairs for retrieval or generation models

## When to avoid
- you need task-oriented or domain-specific dialogue data rather than casual chit-chat
- you require strictly cleaned, noise-free data - several sources contain noise and inappropriate content
- you need commercial-use guarantees - the project only aggregates third-party corpora with original licenses

## Facets
- artifact type: dataset
- maturity: maintenance
- function: nlp, data-generation, etl
- domain: chatbots, machine-learning, large-language-models
- platform: python, cli
- tags: chinese-language, conversation-corpus, chatbot-training-data, text-normalization, open-dataset, natural-language-processing

## Member repositories
- codemayq/chinese-chatbot-corpus (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:38.849104+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 2026-08-29T18:22:34.934607+00:00, confidence not recorded.
  - readme: https://github.com/codemayq/chinese-chatbot-corpus (fetched 2026-08-28T04:08:38.849104+00:00, sha b6b5bca17a49)
- Data as of 2026-08-30T08:39:29.467469+00:00.