211 datasets found

The rcv1 dataset is a multiclass text classification dataset.

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 independently posted tweets dataset (henceforth: iPosts) that we used for contradiction detection between independently emerging claim-initiating tweets.

The dataset on which the authors run disagreement reply detection (henceforth: Threads) was converted by us to RTE format based on the threaded conversations labeled in this...

This dataset is used to test the ability of large language models to detect and correct biased Wikipedia edits according to Wikipedia's Neutral Point of View (NPOV) policy.

Yelp reviews polarity dataset

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...

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.

Two large scale document classification datasets: Yahoo Answer and Yelp15 review, representing topic classification and sentiment classification data sets respectively.

The Cnews dataset is a collection of news articles from Sina News, filtered from 2005 to 2011. The dataset contains 10 categories of news, including sports, entertainment, home...

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...