120 datasets found

The dataset is a collection of Twitter tweets, filtered to include only English language tweets. The dataset is used to study out-of-vocabulary (OOV) words in Twitter.

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...

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 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.

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

A comprehensive approach to syllabification for the Uzbek language, including rule-based techniques and machine learning algorithms.

A tool for scansion of English poetry.

NLDD dataset, a specialized open-source collection designed for the Natural Language to Software Generation domain.

The BIG-Bench Hard dataset is derived from the original BIG-Bench evaluation suite, focusing on tasks that pose challenges to existing language models.

The paper proposes a method to leverage QA datasets for training generative language models to be context generators for a given question and answer.

LongPile is a diverse dataset derived from the Pile corpus.

PG-19 is a well-established benchmark for long-form language modeling.

Femicide perception dataset: a large-scale perception survey of GBV descriptions automatically extracted from a corpus of Italian newspapers.

The Wang271K dataset is used for Chinese Spelling Check (CSC) task, with a large number of Chinese characters and their corresponding errors.

The SIGHAN datasets are used for Chinese Spelling Check (CSC) task, with a limited number of Chinese characters and their corresponding errors.

The dataset is used for Chinese Spelling Check (CSC) task, with a large number of Chinese characters and their corresponding errors.

The COVID-19 Twitter Data dataset contains tweets about the COVID-19 pandemic.

The Phi-2 dataset is a collection of language models used to evaluate the performance of language models.