A dataset of Wikipedia's most popular articles, an extensive collection of unprocessed text data covering a diverse range of topics including history, science, critical thinking, mathematics, and more.
This dataset aims to facilitate the pretraining of large language models by providing a vast corpus of informative content. This dataset is an excellent resource for researchers and developers looking to pretrain large language models.
Its unprocessed format and diverse range of topics make it ideal for pretraining custom models that can understand and generate natural language text. 
license:mit region:us
{"license": "mit", "datasetsviewer": {"not_supported": true}}
TAGS
#license-mit #region-us 

A dataset of Wikipedia's most popular articles, an extensive collection of unprocessed text data covering a diverse range of topics including history, science, critical thinking, mathematics, and more.
This dataset aims to facilitate the pretraining of large language models by providing a vast corpus of informative content. This dataset is an excellent resource for researchers and developers looking to pretrain large language models.
Its unprocessed format and diverse range of topics make it ideal for pretraining custom models that can understand and generate natural language text. 
TAGS
#license-mit #region-us 

passage: TAGS
#license-mit #region-us 
