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UDC Dataset
- paperswithcode.com
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EmailClick to copy linkLink copiedCiteRyan Lowe; Nissan Pow; Iulian Serban; Joelle Pineau, UDC Dataset [Dataset]. https://paperswithcode.com/dataset/ubuntu-dialogue-corpusAuthorsRyan Lowe; Nissan Pow; Iulian Serban; Joelle PineauDescriptionUbuntu Dialogue Corpus (UDC) is a dataset containing almost 1 million multi-turn dialogues, with a total of over 7 million utterances and 100 million words. This provides a unique resource for research into building dialogue managers based on neural language models that can make use of large amounts of unlabeled data. The dataset has both the multi-turn property of conversations in the Dialog State Tracking Challenge datasets, and the unstructured nature of interactions from microblog services such as Twitter.
- h
ubuntu_dialogs_corpus
- huggingface.co
Updated Mar 25, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteThe HF Datasets community (2023). ubuntu_dialogs_corpus [Dataset]. https://huggingface.co/datasets/ubuntu_dialogs_corpusDataset updatedMar 25, 2023Dataset authored and provided byThe HF Datasets communityLicensehttps://choosealicense.com/licenses/unknown/https://choosealicense.com/licenses/unknown/
DescriptionUbuntu Dialogue Corpus, a dataset containing almost 1 million multi-turn dialogues, with a total of over 7 million utterances and 100 million words. This provides a unique resource for research into building dialogue managers based on neural language models that can make use of large amounts of unlabeled data. The dataset has both the multi-turn property of conversations in the Dialog State Tracking Challenge datasets, and the unstructured nature of interactions from microblog services such as Twitter.
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FacebookTwitterEmailUbuntu Dialogue Corpus (UDC) is a dataset containing almost 1 million multi-turn dialogues, with a total of over 7 million utterances and 100 million words. This provides a unique resource for research into building dialogue managers based on neural language models that can make use of large amounts of unlabeled data. The dataset has both the multi-turn property of conversations in the Dialog State Tracking Challenge datasets, and the unstructured nature of interactions from microblog services such as Twitter.