16 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.

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.

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

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

The BANKING dataset is an intent classification dataset in the banking domain.

Persona-Chat is a dataset of human-like conversations.

The DailyDialog dataset is a large-scale multi-turn dialogue dataset, consisting of 10,000 conversations with 5 turns each.