35 datasets found

DailyDialog: A manually labelled multi-turn dialogue dataset.

The IEMOCAP dataset contains five recording sessions, each with one male speaker and one female speaker.

The dataset used in the paper is the MultiWOZ dataset, which is a human-human task-oriented dialogue dataset collected via the Wizard-of-Oz framework. It contains conversations...

Task-oriented dialogue datasets for training and evaluation of task-oriented dialogue models

Task-oriented dialogue datasets for training and evaluation of task-oriented dialogue models

Task-oriented dialogue datasets for training and evaluation of task-oriented dialogue models

Dialogue contexts are proven helpful in the spoken language understanding (SLU) system and they are typically encoded with explicit memory representations. However, most of the...

Dialogue contexts are proven helpful in the spoken language understanding (SLU) system and they are typically encoded with explicit memory representations. However, most of the...

The Multi-Session Chat dataset is used in the paper for evaluating the long-term memory of conversational agents.

The DBDC4 Japanese dataset contains dialogues from three dialogue systems named DCM, DIT, and IRS, and five other dialogue systems (IRS, MMK, MRK, TRF, and ZNK) which...

The Fourth Dialogue Breakdown Detection Challenge (DBDC4) dataset contains dialogues from a dialogue system named IRIS and six other dialogue systems (anonymised as Bot001 to...

A dataflow implementation of the MultiWOZ dataset

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.