12 datasets found

The dataset used in the experiments to evaluate the adaptation of language models to nonstandard text.

The Shifts Machine Translation dataset consists of pairs of source and target sentences in English and Russian.

The Pile dataset contains 3.5 million samples of diverse text for language modeling.

The Twitter Dataset is a collection of tweets annotated with Plutchik's emotions, consisting of tweets in three different languages: English, Dutch, and German.

The TMC dataset is a collection of air traffic reports.

The problem of similarity search is to find the most similar items in a large collection to a query item of interest. Fast similarity search is at the core of many information...

The CNAE-9 dataset is a set of 9 categories from the National Classification of Economic Activities.

The paper presents the PeerRead dataset for testing the sparse deep generative model.

CommonCrawl is a non-profit organization that provides a large corpus of web pages for research and development purposes.

The dataset used in the paper to train the Toolformer model.

The OSCAR corpus is a multilingual web corpus that is used for pre-training large generative language models. It is a document-oriented corpus that is comparable in size and...

The Common Crawl (CC) project browses and indexes all content available online. It generates 200-300 TiB of data per month (around 5% of which is in French), and constitutes the...