BookCorpus
BookCorpus (also written BooksCorpus, and sometimes called the Toronto Book Corpus) is a text dataset built from free, self-published English-language ebooks scraped from the distribution platform Smashwords.
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C4 (Colossal Clean Crawled Corpus)
C4 (Colossal Clean Crawled Corpus) is a roughly 750 GB, cleaned, English-language web text dataset of about 365 million documents and 156 billion tokens that Google created from the April 2019 Common Crawl…
Common Corpus
Common Corpus is the largest fully open, multilingual dataset for pretraining large language models, assembled and released by the French AI research lab Pleias.
Common Crawl
Common Crawl is a nonprofit 501(c)(3) organization that maintains a free, open repository of web crawl data, and it is the single largest publicly available source of text used to train large language models.
Common Pile
Common Pile v0.1 is an 8 terabyte corpus of openly licensed and public domain text, released on June 5, 2025, by EleutherAI and a consortium of more than two dozen academic and industry collaborators.
DCLM (DataComp for Language Models)
DCLM, short for DataComp for Language Models (also styled DataComp-LM), is an open benchmark, dataset, and software framework, released in June 2024
FineWeb
FineWeb is a large-scale, open pretraining dataset for large language models (LLMs) created by Hugging Face.
HotpotQA
HotpotQA is a large-scale, multi-hop question answering dataset of about 112,779 crowd-authored question-and-answer pairs over English Wikipedia, whose answers cannot be found in any single paragraph and…
Low-Resource Languages
Low-resource languages, in natural language processing (NLP), are languages with little of the raw material that modern language technology depends on: digitized text, parallel translation corpora, annotated…
Nemotron-CC
Nemotron-CC is a large-scale, open English-language pretraining dataset for large language models released by NVIDIA in December 2024.
RedPajama
RedPajama is a family of large-scale, openly licensed datasets for training large language models (LLMs), created by Together AI with academic and open-source partners to reproduce, in fully open form
Reporting Bias
Reporting bias is a type of data bias in machine learning that occurs when the frequency of events, properties, or outcomes captured in a dataset does not reflect their real-world frequency, because people…
SuperGLUE
SuperGLUE is a public benchmark for evaluating general-purpose English language understanding in machine learning systems, consisting of eight challenging reasoning and reading-comprehension tasks, two…
The Pile (dataset)
The Pile is an 825.18 GiB (approximately 886 GB) English text corpus designed for training large language models, assembled from 22 diverse, high-quality subsets spanning academic, professional, internet…
WordNet
WordNet is a large lexical database of English developed at Princeton University beginning in 1985.