110 datasets found

The AG News, SogouNews and DBpedia datasets are used for text classification experiments.

The authors evaluate the performance of their proposed conformal prediction methods for multistep feedback covariate shift (MFCS) on synthetic black-box optimization and active...

The Amazon Reviews dataset is used to predict the usefulness of Amazon reviews using off-the-shelf argumentation mining.

The dataset used in this paper is a probabilistic logic programming dataset, which is a probabilistic version of the WebKB dataset.

The Reuters-8 dataset is a collection of news articles from Reuters.

The 20Newsgrp dataset is a collection of news articles from 20 different newsgroups.

The dataset used for training and evaluating IR systems, containing a large collection of documents and queries.

Dialogue systems – often referred to as conversational agents, chatbots, etc. – provide convenient human-machine interfaces and have become increasingly prevalent with the...

The News dataset consists of 5000 randomly sampled news articles from the NY Times corpus. It simulates the opinions of media consumers on news items. The units are different...

The Emotion Classification dataset consists of emotion-related text.

X-FORMAL dataset contains pairs of formal and informal texts in four languages: Brazilian Portuguese, French, Italian, and English.

The GYAFC dataset is a formality transfer dataset for English that contains aligned formal and informal sentences from two domains: Entertainment & Music and Family &...

The MARC dataset is a multilingual text classification dataset that contains 6 languages.

The paper discusses the use of multi-objective Bayesian optimization for hyperparameter transfer in topic models.

The paper discusses the use of multi-objective Bayesian optimization for hyperparameter transfer in topic models.

The dataset used in this paper for text classification task.

The dataset used in the paper is the 20NEWS dataset, consisting of 18,845 text documents with 20 topic labels.

The TEL-NLP dataset is a collection of Telugu text data for four NLP tasks: sentiment analysis, emotion identification, hate speech detection, and sarcasm detection.

The Yelp Dataset contains 1.6M reviews and 500K tips by 366K users for 61K businesses; 481K business attributes, such as hours, parking availability, ambience; and check-ins for...

The IMDB sentiment classification dataset is used for text classification tasks.