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Dataset Overview

Dataset Type

text corpus for NLP

Language

en, English

Speech Style

N/A

Content

dialogical texts on
healthcare-related
customer service

Audio Parameters

N/A

File Format

TXT (UTF8)

Recording Equipment

N/A

Recording Environment

N/A

Popular Datasets

NLP Corpus

English Customer Service Scenario Text Corpus – Healthcare

50 English dialogical texts
in healthcare-related customer service scenarios

Dataset Overview

Dataset Type

text corpus for NLP

Language

en, English

Speech Style

N/A

Content

dialogical texts on
healthcare-related
customer service
N/A

File Format

TXT (UTF8)

Recording Equipment

N/A

Recording Environment

N/A

This open-source dataset consists of 50 dialogic interactions with texts in English, concerning healthcare-related customer service scenarios.

Sample:

A – Line Operator, B – Customer
A: Hello, I am [Operator_Name]*. How may I help you?
B: Good morning. I would like to make an appointment with Doc. Li.
A: Do you mean that you want to make an appointment for your child? It is peds-out clinic.
B: Oh, yes. My daughter is 4 years old. And she has has diarrhea since yesterday.
A: Doc. Li is not on duty today. Do you want to change to another pediatrician or will you come here tomorrow?
B: Let me see… Another doctor is fine. We will be there 2 pm today. Is that available?
A: Yes, of course. Did you take your daughter’s temperature since yesterday?
B: Yes. Her temperature is normal.
A: I got it. Please keep monitoring her temperature and nurse may like to have her stool examined when you come here. Just let you know.
B: Thanks. We will be there on time.
A: See you.
*Personally identifiable information (PII) is masked by annotation symbols.
The dataset is provided on an “As Is” basis, and no warranty, either expressed or implied, is given. Your use of the dataset is at your sole risk. You expressly understand and agree that MagicHub and/or Beijing Magic Data Technology Co., Ltd. shall not be liable for any direct, indirect, incidental, special or consequential damages; including but not limited to, damages for loss of profits, goodwill, use, data or other intangible losses related to the datasets.

Copyright © 2021 Beijing Magic Data Technology Co., Ltd. All rights reserved.

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