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Dataset . 2023
License: CC BY
Data sources: Datacite
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Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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OfficeDial Dataset

Authors: Arvan, Mohammad; Valizadeh, Mina; Parian Haghighat; Nguyen, Toan; Heejin Jeong; Parde, Natalie;

OfficeDial Dataset

Abstract

# OfficeDial Dataset ## EXPLANATION OF DATA FILES We are releasing this dataset as a json file containing dialogues between a user and an IVA in different noise levels for different scenarios. The format of the dataset is adapted from [Taskmaster](https://github.com/google-research-datasets/Taskmaster) dataset. The dataset is a dictionary of filenames and an array of conversations. Each conversation contains the following attributes: - conversation_id: a unique id - scenario: scenario of this conversation, could be S1_A, S1_B, S2_A, S2_B, S3_A, S3_B - noise: noise level played of during this conversation, values are SILENCE, NON_VERBAL, VERBAL - utterances: an array of utterances Each utterance contains the following fields: - index: index representing the order of this conversation, starts at 0 - speaker: speaker of this specific line, values are USER, ASSISTANT - text: The transcription of the spoken words ## License Creative Commons Attribution License (cc-by).

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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