12 datasets found

The dataset used in the paper is the Ubuntu Corpus, which consists of dialogues from the Ubuntu technical support chat.

The dataset used for context-oriented response selecting task, which is considered as a binary classification problem.

The Topical-Chat dataset is a knowledge-grounded open-domain conversational dataset, which consists of dialogues between two Mechanical Turk workers (a.k.a. Turkers).

Reddit conversation corpus, consisting of data extracted from 95 top-ranked subreddits that discuss various topics such as sports, news, education and politics.

The STC dataset is a short-text conversation dataset collected from Sina Weibo, a Chinese social platform.

The dataset is used for training and testing response selection models for multi-turn conversations.

The dataset is used for training and testing response selection models for multi-turn conversations.

The ConvAI2 persona-chat dataset is an extended version of the persona-chat dataset, which contains conversations obtained from crowdworkers who were randomly paired and asked...

Wizard of Wikipedia is a recent, large-scale dataset of multi-turn knowledge-grounded dialogues between a “apprentice” and a “wizard”, who has access to information from...

The DailyDialog dataset is a large-scale multi-turn dialogue dataset, consisting of 10,000 conversations with 5 turns each.

The EmpatheticDialogues dataset is a text dataset for training empathetic AI chatbots, consisting of 25k conversations grounded in emotional situations with emotion labels.

The Ubuntu Dialogue Corpus is the largest freely available multi-turn based dialogue corpus which consists of almost one million two-way conversations extracted from the Ubuntu...