37 datasets found

The dataset used in the paper is the WAT2015 translation task from Japanese (ja) to/from English (en) and Chinese (zh).

The LRW dataset is an English language lip reading dataset, containing 500 different words, each spoken by over 1,000 persons.

The dataset used in the paper is a collection of Hindi-English code-switched sentences.

The dataset used for building the NMT model, which is a German-to-English parallel corpus.

The CoNLL-2009 dataset is used for semantic role labeling (SRL) task. It contains 10,177 sentences in English and 10,177 sentences in Chinese.

The ArzEnSEG corpus is a morphologically annotated dataset for code-switched Egyptian Arabic-English.

The ArzEn parallel corpus consists of speech transcriptions gathered through informal interviews with bilingual Egyptian Arabic-English speakers, as well as their English...

The PPDB 2.0 dataset is a paraphrase database.

The dataset for English-to-Chinese controlled machine translation.

The dataset for English controlled machine translation.

The dataset for English controlled paraphrase generation.

LDC2015E86 is a dataset of abstract meaning representation (AMR) annotations for English.

The SemEval07 corpus is a dataset for semantic frame parsing in English.

The CBT dataset is an English machine reading comprehension dataset.

CREHate is a cross-cultural English hate speech dataset comprising 1,580 posts from five English-speaking countries—AU, GB, SG, US, and ZA.

GigaSpeech: An evolving, multi-domain ASR corpus with 10,000 hours of transcribed audio.

PADT, EWT, GSD, HDT, and SynTagRus are UD treebanks.

The ASRU 2019 Mandarin-English code-switching speech recognition challenge dataset.

The dataset used for the Second Workshop on Neural Machine Translation and Generation

The Banking77 dataset is a specialized dataset for intent classification in the banking domain.