13 datasets found

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

The dataset used in this paper is a noisy annotated dataset obtained from a zero-shot learner based module.

The conversational dataset is used to evaluate the performance of the proposed algorithms. The dataset consists of 20,000 questions and answers, where each question is answered...

The dataset used in the paper is a corpus of text containing approximately 10,000 examples, each a sequence of sentences extracted from books.

The Empathetic Dialogue dataset is a dataset of conversations related to daily life, each with an emotion label, a situation described in text, and a short two-party dialogue.

SpeechBrain is an open-source Conversational AI toolkit based on PyTorch, focused particularly on speech processing tasks such as speech recognition, speech enhancement, speaker...

Image-Chat dataset

The Polaris dataset is a collection of conversations between a patient and a healthcare agent, with the goal of developing a safety-focused Large Language Model (LLM)...

The ESConv dataset is a collection of emotional support conversations, where the agent plays the role of a supporter and the user plays the role of a seeker. The dataset is used...

SIMMC is an extension to ParlAI for multi-modal conversational data collection and system evaluation. It simulates an immersive setup, where crowd workers interact with...

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...