63 datasets found

The DSTC2 dataset is a dataset for dialogue state tracking and user simulation.

The Neural User Simulator (NUS) is a tool for training dialogue managers in spoken dialogue systems.

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 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...

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.

Open-domain dialogue datasets: OpenSubtitles and DailyDialog. OpenSubtitles is a collection of movie subtitles and originally contains over 2 billion utterances. DailyDialog...

The STC dataset is a short-text conversation dataset collected from Sina Weibo, a Chinese social platform.

The ATIS dataset is a benchmark dataset for spoken language understanding, consisting of audio recordings and corresponding manual transcripts about humans asking for flight...

The IPA dataset contains a set of Chinese utterances that were collected and annotated in the development process of a commercialized Intelligent Personal Assistant (IPA) named...

The OSQ dataset covers 150 IND intents and also provides a set of manually labeled Out-of-Scope Queries (OSQ) that are not supported by the current system.

The CIC dataset is a referential communication task where a director identifies a target color patch to a matcher. The dataset is used to analyze the communication trade-offs...

A dialogue dataset for open-domain conversation models.

A dialogue dataset for personalizing dialogue agents.

A dialogue dataset with photo sharing behavior for joint image-text modeling.

A multi-modal dialogue dataset created by replacing text with semantically relevant images.

A large-scale multi-modal dialogue dataset created by leveraging the automatic pipeline with filtering using CLIP similarity.