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Taskmaster-2
Text Detection
|...
许可协议: CC-BY-SA 4.0

Overview

The Taskmaster-2 dataset consists of 17,289 dialogs in seven domains: restaurants (3276), food ordering (1050), movies (3047), hotels (2355), flights (2481), music (1602), and sports (3478).

All dialogs in this dataset were collected using the same Wizard of Oz (WOz) system used in Taskmaster-1 where crowdsourced workers playing the "user" interacted with human operators playing the "digital assistant" using a web-based interface.

In this way, users were led to believe they were interacting with an automated system while it was in fact a human, allowing them to express their turns in natural ways but in the context of an automated interface. Similar to Taskmaster-1, we only annotate common conversational variables such as proper names, times, prices, quantities, etc.

See README File for more information.

数据概要
数据格式
数据量
400K
文件大小
--
发布方
https://storage.googleapis.com/pub-tools-public-publication-data/png/560360bc93c718ade467a46a09db9706f691f93b.png
| 数据量 400K | 大小 --
Taskmaster-2
Text Detection
许可协议: CC-BY-SA 4.0

Overview

The Taskmaster-2 dataset consists of 17,289 dialogs in seven domains: restaurants (3276), food ordering (1050), movies (3047), hotels (2355), flights (2481), music (1602), and sports (3478).

All dialogs in this dataset were collected using the same Wizard of Oz (WOz) system used in Taskmaster-1 where crowdsourced workers playing the "user" interacted with human operators playing the "digital assistant" using a web-based interface.

In this way, users were led to believe they were interacting with an automated system while it was in fact a human, allowing them to express their turns in natural ways but in the context of an automated interface. Similar to Taskmaster-1, we only annotate common conversational variables such as proper names, times, prices, quantities, etc.

See README File for more information.

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