# Werneror/Poetry

非常全的古诗词数据，收录了从先秦到现代的共计85万余首古诗词。

Repository: https://github.com/Werneror/Poetry
Canonical: https://ross.abutalabs.com/products/werneror-poetry
Language: Python
License: MIT
License Family: permissive
Topics: data, poetry, chinese-poetry, chinese, csv
Last push: 2023-08-08T09:23:00+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3165, "days_push": 1121, "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 1767, forks 426 (observed 2026-08-28T04:05:33.489089+00:00)

## What it is
A comprehensive open dataset of over 850,000 classical Chinese poems spanning from the pre-Qin era to modern times, stored as CSV files with title, dynasty, author, and content fields. It includes scripts for merging files and instructions for importing into MySQL.

## Use cases
- build a classical Chinese poetry search engine
- train NLP models on ancient Chinese text
- create a poetry recommendation or quiz app
- research statistical trends in Chinese poetry across dynasties
- import a large poetry corpus into a database
- generate poetry datasets for machine learning experiments

## When to choose
- you need a large, freely licensed corpus of classical Chinese poems
- you want ready-to-import CSV data for database or ML pipelines
- you need coverage across many dynasties and nearly 30,000 authors

## When to avoid
- you need modern Chinese or non-poetry text corpora
- you require rich metadata like annotations, translations, or rhyme schemes
- you need data in JSON or another structured format beyond CSV

## Facets
- artifact type: dataset
- maturity: stable
- function: data-science, nlp, csv
- domain: education, data-science
- platform: cross-platform, python
- tags: chinese-poetry, classical-chinese, corpus, open-data, csv-dataset, natural-language-processing

## Member repositories
- Werneror/Poetry (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:33.489089+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 2026-08-30T03:26:24.078716+00:00, confidence not recorded.
  - readme: https://github.com/Werneror/Poetry (fetched 2026-08-28T04:05:33.489089+00:00, sha 3782e8e3c2da)
- Data as of 2026-08-30T08:39:29.467469+00:00.