38 datasets found

The DIASPORA dataset is a human-human conversation dataset annotated with lexical aspect.

A large-scale dialogue dataset with rich task diversity, collected to pre-train a unified dialogue foundation model.

A conversational recommendation dataset released by Kang et al. This dataset was constructed using ParlAI to interface with Amazon Mechanical Turk (AMT) to reflect the movie...

A dataset of text-adventure game dialogues, including fantasy and horror games.

The dataset used in this paper is a corpus of nearly 7,000 doctor-patient conversations.

A dialogue dataset annotated with fact-check-needed label (DDFC) for detecting sentences that do not require factual correctness judgment

The Ubuntu Dialogue Corpus (UDC) dataset was extracted from the Ubuntu Relay Chat Channel. Although the topics in the dataset are not as diverse as in the MTC, the dataset is...

The Movie Triples Corpus (MTC) dataset was derived from the Movie-DiC dataset by Banchs (2012). Although this dataset spans a wide range of topics with few spelling mistakes,...

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 Colors in Context (CIC) dataset is a referential communication task where participants describe items in a visual display using a free-form chat interface.

The Cornell Movie Dialogue Corpus

Reddit Politics

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).

This paper uses SummEval and Topical-Chat datasets for evaluating the quality of summaries and responses.

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

The Schema-Guided Dialogue (SGD) dataset contains over 20,000 multi-domain conversations between a human and a virtual assistant.

The Action-Based Conversations Dataset (ABCD) contains over 10,000 human-to-human customer service dialogues across multiple domains.

BERT-DST: scalable end-to-end dialogue state tracking with bidirectional encoder representations from transformer.

Schema-Guided Dataset (SGD) is the official dataset for the schema-guided state tracking challenge at DSTC8. The schema-guided dataset consists of 20 domains with a total of 45...