Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
1M<n<10M
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
ArXiv:
License:
ubuntu_dialogs_corpus / dataset_infos.json
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{"train": {"description": "Ubuntu 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.\n", "citation": "@article{DBLP:journals/corr/LowePSP15,\n author = {Ryan Lowe and\n Nissan Pow and\n Iulian Serban and\n Joelle Pineau},\n title = {The Ubuntu Dialogue Corpus: {A} Large Dataset for Research in Unstructured\n Multi-Turn Dialogue Systems},\n journal = {CoRR},\n volume = {abs/1506.08909},\n year = {2015},\n url = {http://arxiv.org/abs/1506.08909},\n archivePrefix = {arXiv},\n eprint = {1506.08909},\n timestamp = {Mon, 13 Aug 2018 16:48:23 +0200},\n biburl = {https://dblp.org/rec/journals/corr/LowePSP15.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n", "homepage": "https://github.com/rkadlec/ubuntu-ranking-dataset-creator", "license": "", "features": {"Context": {"dtype": "string", "id": null, "_type": "Value"}, "Utterance": {"dtype": "string", "id": null, "_type": "Value"}, "Label": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "ubuntu_dialogs_corpus", "config_name": "train", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 65497027, "num_examples": 127422, "dataset_name": "ubuntu_dialogs_corpus"}}, "download_checksums": {}, "download_size": 0, "dataset_size": 65497027, "size_in_bytes": 65497027}}