The Hugging Face Datasets library provides a wide range of large-scale NLP corpus datasets for machine learning, including datasets for text classification, sentiment analysis, and language modeling.
The University of California, San Diego provides a list of NLP datasets, including large-scale corpora for machine learning, such as the Common Crawl dataset and the Wikipedia dataset.
The Linguistic Data Consortium (LDC) at the University of Pennsylvania provides a wide range of linguistic datasets, including large-scale NLP corpora for machine learning research and development.
Google's Natural Language Processing dataset is a large-scale corpus of text data that can be used for machine learning research and development, including tasks such as text classification and sentiment analysis.
This article provides an overview of popular NLP datasets for machine learning, including large-scale corpora such as the Stanford Natural Language Inference (SNLI) dataset and the Multi-Genre Natural Language Inference (MultiNLI) dataset.
This research paper presents a large-scale NLP corpus dataset for machine learning research, including a dataset of over 100,000 text samples for tasks such as text classification and sentiment analysis.
The Kaggle NLP Dataset Repository provides a wide range of NLP datasets, including large-scale corpora for machine learning, such as the IMDB dataset and the 20 Newsgroups dataset.
The National Institutes of Standards and Technology (NIST) provides a large-scale NLP corpus dataset for machine learning research and development, including datasets for tasks such as text classification and information retrieval.