23 datasets found

Improving open-domain dialogue systems via multi-turn incomplete utterance restoration.

Incomplete utterance rewriting has recently raised wide attention. However, previous works do not consider the semantic structural information between incomplete utterance and...

The Stanford Multi-turn, Multi-domain Dialogue Dataset is a dataset for language understanding in task-oriented dialogue systems. It contains a large number of training...

The Airline Travel Information System dataset (ATIS) is a dataset for language understanding in task-oriented dialogue systems. It contains 4978 training utterances from Class A...

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).

Grounded response generation task at DSTC7

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

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.

Dialogue state tracking (DST) aims at estimating the current dialogue state given all the preceding conversation. For multi-domain DST, the data sparsity problem is a major...

This dataset is used for time-series anomaly detection. It contains multivariate time-series data from various sources, including industrial machines and sensors.

The dataset used in the paper is the Cambridge restaurant domain from the PyDial toolkit.

Semantically conditioned dialog response generation via hierarchical disentangled self-attention.

Traditional end-to-end task-oriented dialogue systems have been built with a modularized design. However, such design often causes misalignment between the agent response and...

A crowdsourced dialogue dataset for emergency response tasks, using a Wizard-of-Oz approach.

The Switchboard corpus is a dataset of speech recordings from a switchboard, which is a device that allows multiple people to speak at the same time.

The DialogBen dataset is a comprehensive benchmark for evaluating the capabilities of Multi-modal Interactive Dialogue Systems (MIDS) in terms of modality switching accuracy and...

The DialogGen dataset is a comprehensive benchmark for evaluating the capabilities of Multi-modal Interactive Dialogue Systems (MIDS) in terms of modality switching accuracy and...

The dataset used in the paper is the Switchboard dataset, which contains telephone conversations.

Human speech data comprises a rich set of domain factors such as accent, syntactic and semantic variety, or acoustic environment.

An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction