README.md

metadata

title: 🔍Wikipedia Twitter ChatGPT Memory Chat🏊
emoji: 🌟GPT🔍
colorFrom: green
colorTo: yellow
sdk: gradio
sdk_version: 3.24.1
app_file: app.py
pinned: false
license: mit

ChatGPT Datasets 📚

• WebText
• Common Crawl
• BooksCorpus
• English Wikipedia
• Toronto Books Corpus
• OpenWebText

ChatGPT Datasets - Details 📚

• WebText: A dataset of web pages crawled from domains on the Alexa top 5,000 list. This dataset was used to pretrain GPT-2.
  • WebText: A Large-Scale Unsupervised Text Corpus by Radford et al.
• Common Crawl: A dataset of web pages from a variety of domains, which is updated regularly. This dataset was used to pretrain GPT-3.
  • Language Models are Few-Shot Learners by Brown et al.
• BooksCorpus: A dataset of over 11,000 books from a variety of genres.
  • Scalable Methods for 8 Billion Token Language Modeling by Zhu et al.
• English Wikipedia: A dump of the English-language Wikipedia as of 2018, with articles from 2001-2017.
  • Improving Language Understanding by Generative Pre-Training Space for Wikipedia Search
• Toronto Books Corpus: A dataset of over 7,000 books from a variety of genres, collected by the University of Toronto.
  • Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond by Schwenk and Douze.
• OpenWebText: A dataset of web pages that were filtered to remove content that was likely to be low-quality or spammy. This dataset was used to pretrain GPT-3.
  • Language Models are Few-Shot Learners by Brown et al.