# liucongg/NLPDataSet

记录本人整理的一些数据集

Repository: https://github.com/liucongg/NLPDataSet
Canonical: https://ross.abutalabs.com/products/nlpdataset
License: Apache-2.0
License Family: permissive
Last push: 2022-06-16T07:15:27+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": 1856, "days_push": 1539, "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 1093, forks 134 (observed 2026-08-28T04:03:33.400357+00:00)

## What it is
A curated collection of Chinese NLP datasets gathered and cleaned by the author, covering named entity recognition (NER), text summarization, extractive reading comprehension (QA), and text similarity tasks. It consolidates 22 Chinese NER sources—spanning medical records, finance, e-commerce, social media, and news—into a unified BIO-tagged format.

## Use cases
- download chinese NER training data
- chinese medical named entity recognition dataset from electronic medical records
- chinese text similarity dataset like LCQMC
- chinese extractive reading comprehension QA corpus
- chinese abstractive summarization dataset
- unified BIO-format chinese ner corpus combining MSRA CLUENER CMeEE
- resume or finance domain NER dataset for model training

## When to choose
- you need many Chinese NER sources pre-cleaned into one consistent BIO-tagged format
- you want a single aggregation of Chinese NLP benchmarks across medical, finance, e-commerce, and social media domains
- you are training or benchmarking Chinese NER, QA, summarization, or similarity models and need ready-made data

## When to avoid
- you need English or multilingual datasets - everything here is Chinese
- you require the latest official versions or exact per-source licensing - data was aggregated from third parties and last updated in mid-2022
- you need nested entity annotations preserved - nested entities were flattened during BIO conversion
- you need programmatic or API access - distribution is via a Baidu Netdisk download link

## Facets
- artifact type: dataset
- maturity: stable
- function: nlp, machine-learning, data-science
- domain: machine-learning, data-science
- platform: -
- tags: chinese-nlp, named-entity-recognition, ner-dataset, bio-format, text-summarization, reading-comprehension, text-similarity, medical-nlp, dataset-collection, corpus, natural-language-processing

## Member repositories
- liucongg/NLPDataSet (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:33.400357+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 2026-08-30T06:48:57.367675+00:00, confidence not recorded.
  - readme: https://github.com/liucongg/NLPDataSet (fetched 2026-08-28T04:03:33.400357+00:00, sha 8cbdd754ce44)
- Data as of 2026-08-30T08:39:29.467469+00:00.