13 datasets found

A chatbot designed by Colby et al. to imitate aggressive emotions.

A multilingual version of the seq2seq architecture trained on Colossal Clean Crawled Corpus.

A hybrid retrieval-augmented/grounded version of the seq2seq architecture.

A multi-turn dialogue response generator that was evaluated using automatic metrics.

A multi-turn open-domain conversational AI seq2seq model that was trained end-to-end.

The Reddit Comments dataset is constructed from publicly available user comments on submissions on the Reddit website.

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 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 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...