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TTrain_Custom_Dataset
Label your own data sets, train, evaluate, test, and deploy your own artificial intelligence algorithms
SChineseNlpCorpus
Collect, organize, and publish Chinese natural language processing corpus/data sets, and work with people with lofty ideals to promote the development of Chinese natural language processing.
Popularity
Repository stars4,1256,611Highest
7-day net stars——
Fork7701,417Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-01-072019-01-29
Maintenance notesNot verifiedNot verified
Repository created2022-07-232018-03-24
License & use
LicenseLicense not declaredLicense not declared
License source——
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeDatabases & dataDatabases & data
TypeDatasets & evaluationsDatasets & evaluations
SubcategoryText datasetsText datasets
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguageJupyter NotebookJupyter Notebook
About this projectLabel your own data sets, train, evaluate, test, and deploy your own artificial intelligence algorithmsCollect, organize, and publish Chinese natural language processing corpus/data sets, and work with people with lofty ideals to promote the development of Chinese natural language processing.
Measured at2026-11-03 09:38 UTC2026-11-03 08:24 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.