18 datasets found

The dataset used for the jewelry shop conversational chatbot, containing customer queries and responses.

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 dataset used for training the models in the Audrey chatbot.

Audrey is an open-domain conversational chat-bot that aims to engage customers on informational, personal and relational levels through interest-driven conversations guided by...

The dataset is used for open-domain human-machine conversation, where the goal is to generate responses to context.

The Building a conversational agent overnight with dialogue self-play dataset is a benchmark for conversational AI.

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 SAMSum dataset is a collection of dialogues, where each dialogue is a conversation between two people.

The DICES-350 dataset is a curated sample of 8k multi-turn conversation corpus generated by human agents interacting with a generative AI-chatbot (Thoppilan et al., 2022) in an...

The dataset used in the paper ChatGPT: A conversational AI model.

The dataset is a large-scale conversational corpus for response generation with diversity oriented evaluation metrics.

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...

The ConvAI2 dialogue corpus is a dataset of personalized dialogues with corresponding persona descriptions.

The authors used the OpenAssistant dataset to construct evaluation datasets for their attacks.

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.