# wainshine/Company-Names-Corpus

公司名语料库。机构名语料库。公司简称,缩写,品牌词,企业名。可用于中文分词、机构名实体识别。

Repository: https://github.com/wainshine/Company-Names-Corpus
Canonical: https://ross.abutalabs.com/products/company-names-corpus
Homepage: https://open.namemoe.com/
License: Apache-2.0
License Family: permissive
Topics: company, corpus, dict, ner, dataset
Last push: 2024-03-27T04:57:45+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2885, "days_push": 889, "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 1296, forks 367 (observed 2026-08-28T04:04:16.971705+00:00)

## What it is
A Chinese-language corpus dataset of company names (4.8M entries), organization names (1.1M), and company abbreviations/brand names (280K), aggregated from multiple dictionaries and cleaned. It is intended for use in Chinese word segmentation and named entity recognition (NER) tasks.

## Use cases
- train a Chinese NER model to recognize company and organization names
- add company name vocabulary to a Chinese word segmentation tool
- extract brand names and company abbreviations from Chinese text
- build a dictionary for Chinese text mining of corporate entities
- filter out company names when building a person-name corpus
- research on Chinese named entity recognition datasets

## When to choose
- you need a large Chinese company/organization name dictionary for NLP preprocessing
- you are doing Chinese word segmentation or NER and need entity lexicons
- you want brand names and company abbreviations as reference data

## When to avoid
- you need English or non-Chinese company name data
- you need fully cleaned, high-precision data with no badcases
- you need structured company metadata (registration info, industry codes) rather than name lists

## Facets
- artifact type: dataset
- maturity: maintenance
- function: nlp, parser, data-science
- domain: data-science, machine-learning
- platform: cross-platform
- tags: chinese, corpus, company-names, named-entity-recognition, word-segmentation, dictionary, organization-names, brand-names, natural-language-processing

## Member repositories
- wainshine/Company-Names-Corpus (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:16.971705+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 2026-08-30T04:53:58.626580+00:00, confidence not recorded.
  - readme: https://github.com/wainshine/Company-Names-Corpus (fetched 2026-08-28T04:04:16.971705+00:00, sha 2f2ffbc5e58a)
  - homepage: https://open.namemoe.com/ (fetched 2026-08-29T12:10:56.250663+00:00, sha 2698996fd6aa)
- Data as of 2026-08-30T08:39:29.467469+00:00.