420 datasets found

The dataset used in this paper is not explicitly described, but it is mentioned that it is a large language model (LLM) and that the authors used it to train and evaluate their...

A semantic compositionality dataset for written Dutch, consisting of a lexicon of supertags for about 900,000 words in context and 72,192 validated derivations.

This work introduces a simple but efficient method to solve one of the critical aspects of English grammar, the relationship between active sentence and passive sentence.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a variety of datasets for semi-supervised learning tasks.

The dataset used in the paper is not explicitly mentioned, but it is mentioned that the authors used the Universal Dependencies (UD) treebanks.

MACHAMP is a toolkit for multi-task learning in NLP, supporting a wide range of NLP tasks.

The GPT-2 dataset is a large language model, specifically the GPT-2 XL model, trained on the Common Crawl dataset.

The Reddit Comments dataset is constructed from publicly available user comments on submissions on the Reddit website.

The Open Subtitles dataset consists of transcriptions of spoken dialog in movies and television shows.

The dataset is used to evaluate arguments by counting the number of attackers and defenders for each argument.

CFQ is a semantic parsing dataset that consists of natural language questions that are mapped to SPARQL queries.

ANY dataset combines natural and synthetic data, used to probe polarity via negative polarity items (NPIs) in two pre-trained Transformer-based models (BERT and GPT-2).

Pretrained language model for French, trained on OSCAR corpus

The dataset used for training and testing the machine translation systems.

The dataset used for training and testing the Naive Bayes classifier for quality estimation of English-Hindi outputs.

This dataset contains a large corpus of text for training and evaluating large language models.

This dataset contains a large corpus of text for training and evaluating large language models.

This dataset contains 100 harmless and 100 harmful anchor prompts for evaluating the performance of large language models.

The dataset used in this paper is a collection of decimal addition tasks, where the input lengths range from 1 to 40 digits. The dataset is used to evaluate the ability of...

A comprehensive dataset for evaluating and training machine learning algorithms for syllable prediction accuracy and performance.