flair.datasets.document_classification

AGNEWS	The AG's News Topic Classification Corpus, classifying news into 4 coarse-grained topics.
AMAZON_REVIEWS	A very large corpus of Amazon reviews with positivity ratings.
COMMUNICATIVE_FUNCTIONS	The Communicative Functions Classification Corpus.
CSVClassificationCorpus	Classification corpus instantiated from CSV data files.
CSVClassificationDataset	Dataset for text classification from CSV column formatted data.
ClassificationCorpus	A classification corpus from FastText-formatted text files.
ClassificationDataset	Dataset for classification instantiated from a single FastText-formatted file.
GERMEVAL_2018_OFFENSIVE_LANGUAGE	GermEval 2018 corpus for identification of offensive language.
GLUE_COLA	Corpus of Linguistic Acceptability from GLUE benchmark.
GLUE_SST2
GO_EMOTIONS	GoEmotions dataset containing 58k Reddit comments labeled with 27 emotion categories.
IMDB	Corpus of IMDB movie reviews labeled by sentiment (POSITIVE, NEGATIVE).
NEWSGROUPS	20 newsgroups corpus, classifying news items into one of 20 categories.
SENTEVAL_CR	The customer reviews dataset of SentEval, classified into NEGATIVE or POSITIVE sentiment.
SENTEVAL_MPQA	The opinion-polarity dataset of SentEval, classified into NEGATIVE or POSITIVE polarity.
SENTEVAL_MR	The movie reviews dataset of SentEval, classified into NEGATIVE or POSITIVE sentiment.
SENTEVAL_SST_BINARY	The Stanford sentiment treebank dataset of SentEval, classified into NEGATIVE or POSITIVE sentiment.
SENTEVAL_SST_GRANULAR	The Stanford sentiment treebank dataset of SentEval, classified into 5 sentiment classes.
SENTEVAL_SUBJ	The subjectivity dataset of SentEval, classified into SUBJECTIVE or OBJECTIVE sentiment.
SENTIMENT_140	Twitter sentiment corpus.
STACKOVERFLOW	Stackoverflow corpus classifying questions into one of 20 labels.
TREC_50	The TREC Question Classification Corpus, classifying questions into 50 fine-grained answer types.
TREC_6	The TREC Question Classification Corpus, classifying questions into 6 coarse-grained answer types.
WASSA_ANGER	WASSA-2017 anger emotion-intensity corpus.
WASSA_FEAR	WASSA-2017 fear emotion-intensity corpus.
WASSA_JOY	WASSA-2017 joy emotion-intensity dataset corpus.
WASSA_SADNESS	WASSA-2017 sadness emotion-intensity corpus.
YAHOO_ANSWERS	The YAHOO Question Classification Corpus, classifying questions into 10 coarse-grained answer types.
_download_wassa_if_not_there