flair.datasets.sequence_labeling#

`BIOSCOPE`
`CLEANCONLL`
`CONLL_03`
`CONLL_03_DUTCH`
`CONLL_03_GERMAN`
`CONLL_03_SPANISH`
`CONLL_2000`
`ColumnCorpus`
`ColumnDataset`
`FEWNERD`
`JsonlCorpus`
`JsonlDataset`
`KEYPHRASE_INSPEC`
`KEYPHRASE_SEMEVAL2010`
`KEYPHRASE_SEMEVAL2017`
`MASAKHA_POS`
`MultiFileColumnCorpus`
`MultiFileJsonlCorpus`	This class represents a generic Jsonl corpus with multiple train, dev, and test files.
`NER_ARABIC_ANER`
`NER_ARABIC_AQMAR`
`NER_BASQUE`
`NER_BAVARIAN_WIKI`
`NER_CHINESE_WEIBO`
`NER_DANISH_DANE`
`NER_DANISH_DANSK`	Danish NER dataset from the chcaa/dansk-ner HuggingFace dataset.
`NER_ENGLISH_MOVIE_COMPLEX`
`NER_ENGLISH_MOVIE_SIMPLE`
`NER_ENGLISH_PERSON`
`NER_ENGLISH_RESTAURANT`
`NER_ENGLISH_SEC_FILLINGS`
`NER_ENGLISH_STACKOVERFLOW`
`NER_ENGLISH_TWITTER`
`NER_ENGLISH_WEBPAGES`
`NER_ENGLISH_WIKIGOLD`
`NER_ENGLISH_WNUT_2020`
`NER_ESTONIAN_NOISY`
`NER_FINNISH`
`NER_GERMAN_BIOFID`
`NER_GERMAN_EUROPARL`
`NER_GERMAN_GERMEVAL`
`NER_GERMAN_LEGAL`
`NER_GERMAN_MOBIE`
`NER_GERMAN_POLITICS`
`NER_HIPE_2022`
`NER_HUNGARIAN`
`NER_ICDAR_EUROPEANA`
`NER_ICELANDIC`
`NER_JAPANESE`
`NER_MASAKHANE`
`NER_MULTI_CONER`
`NER_MULTI_CONER_V2`
`NER_MULTI_WIKIANN`
`NER_MULTI_WIKINER`
`NER_MULTI_XTREME`
`NER_NERMUD`
`NER_NOISEBENCH`
`NER_SWEDISH`
`NER_TURKU`
`NER_UKRAINIAN`
`ONTONOTES`
`UP_CHINESE`
`UP_ENGLISH`
`UP_FINNISH`
`UP_FRENCH`
`UP_GERMAN`
`UP_ITALIAN`
`UP_SPANISH`
`UP_SPANISH_ANCORA`
`WNUT_17`