# chatopera/insuranceqa-corpus-zh

:helicopter: 保险行业语料库，聊天机器人

Repository: https://github.com/chatopera/insuranceqa-corpus-zh
Canonical: https://ross.abutalabs.com/products/insuranceqa-corpus-zh
Homepage: https://www.chatopera.com/
Language: Python
License: NOASSERTION
License Family: other
Topics: corpus, chatbot, qasystem, natural-language-processing, natural-language-understanding, machine-learning, dataset, question-answering, insurance, insuranceqa-corpus-zh
Last push: 2025-05-26T06:56:24+00:00

## Health v2 (maintenance only)
Score: 33/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 23, release rhythm 8, longevity 100
- inputs: {"age_days": 3325, "days_push": 464, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1064, forks 340 (observed 2026-08-28T04:03:26.468631+00:00)

## What it is
A Chinese-language insurance-domain question-answering corpus collected from Insurance Library, translated from English and packaged with a Python loader (insuranceqa_data on PyPI). It provides train/test/validation splits plus tokenized, labeled question-answer pairs ready for machine learning tasks like answer selection.

## Use cases
- train a Chinese insurance question answering model
- dataset for answer selection task
- build an insurance domain chatbot
- Chinese NLP corpus for reading comprehension
- train text classification on insurance Q&A pairs
- benchmark retrieval models on domain-specific QA

## When to choose
- you need a real-world Chinese QA dataset in the insurance domain
- you want pre-tokenized, labeled data ready for ML training
- you are researching answer selection or question answering in a vertical domain

## When to avoid
- you need a free open dataset - downloading the corpus requires purchasing a license certificate
- you need English-language QA data
- you need conversational multi-turn dialogue data rather than single Q&A pairs

## Facets
- artifact type: dataset
- maturity: maintenance
- function: machine-learning, nlp, chatbot
- domain: machine-learning, chatbots
- platform: python, cross-platform
- tags: question-answering, chinese-corpus, insurance-domain, answer-selection, text-classification, training-data, natural-language-processing, insurance

## Member repositories
- chatopera/insuranceqa-corpus-zh (main) score 33

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:26.468631+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 2026-08-30T06:56:03.433231+00:00, confidence not recorded.
  - readme: https://github.com/chatopera/insuranceqa-corpus-zh (fetched 2026-08-28T04:03:26.468631+00:00, sha 0c3cd601a0d0)
  - homepage: https://www.chatopera.com/ (fetched 2026-08-29T12:58:07.781633+00:00, sha 4577d30645cf)
- Data as of 2026-08-30T08:39:29.467469+00:00.