182 datasets found

The MPQA dataset contains 10,606 opinions, and each of them is labeled as Objective or Subjective.

The MR dataset is a movie review repository (containing 10,662 reviews) while CR contains 3,775 reviews about products, e.g. a music player.

The word-level model consists of one convolutional layer, followed by a max pooling layer and a fully connected layer with dropout, and last a softmax output layer.

Two representative DNN models and some corresponding datasets are chosen as the experiment targets to evaluate the effectiveness of the proposed method.

data extracted from real images of forged banknotes, with the help of an industrial camera.

RTE dataset

The FastText dataset is a subword token embedding model. It produces a vector representation of a word based on composing embeddings of the character n-grams composing the word.

The Hatespeech dataset is a collection of tweets containing lexicons used in hate speech.

The Amazon Books dataset is a collection of user ratings for books, with each rating indicating the user's preference for the book.

The dataset used in the paper is not explicitly mentioned, but it is mentioned that the authors trained a GPT2 transformer language model on the C4 dataset.

The Penn Tree Bank dataset is a corpus split into a training, validation and testing set of 929k words, a validation set of 73k words, and a test set of 82k words. The...

The UNIREX framework extends the approach to a more general setting.

The Tweet Sentiment Extraction dataset contains positive, negative, and neutral tweets with human-annotated rationales.

The Movie Reviews dataset contains positive and negative movie reviews with rationales annotated by humans to support classification.

The RP dataset, derived from the RELPRON dataset, consists of 105 noun phrases containing relative clauses.

The MC (Meaning Classification) dataset is a specially crafted dataset used for a classification task.

Text classification is an important and widely studied task in natural language processing (NLP), with extensive applications such as sentiment analysis, topic classification,...

The dataset consists of 25000 reviews from IMDb.

The DBpedia Animals dataset comprises 10,000 English Wikipedia article abstracts for animal species.

The DynaSent dataset contains approximately 122,000 sentences, each labeled as positive, neutral, or negative.