Dataset Card for [Dataset Name]

Dataset Summary

COVID-Dialogue-Dataset-English is an English medical dialogue dataset about COVID-19 and other types of pneumonia. Patients who are concerned that they may be infected by COVID-19 or other pneumonia consult doctors and doctors provide advice. There are 603 consultations.

COVID-Dialogue-Dataset-Chinese is a Chinese medical dialogue dataset about COVID-19 and other types of pneumonia. Patients who are concerned that they may be infected by COVID-19 or other pneumonia consult doctors and doctors provide advice. There are 1393 consultations.

The dataset is present as a single text file. COVID-Dialogue-Dataset-Chinese.txt for Chinese and COVID-Dialogue-Dataset-English.txt for English.

Supported Tasks and Leaderboards

Used for QA tasks. There is also a COVID-19 dialogue generation model available for the Chinese Data. The pre-print and more information is available in this arxiv pre-print .

Languages

Monolingual. The datasets are in English (EN) and Chinese (ZH)

Dataset Structure

Data Instances

An example of dialogue is:

{
    'dialogue_id': 602, 
    'dialogue_url': 'https://www.healthtap.com/member/fg?page=/search/covid', 
    'dialogue_turns': [{'speaker': 'Patient', 
                'utterance': 'Can coronavirus symptoms be mild for some people versus severe? For example, could it just involve being very fatigued, low grade fever for a few days and not the extreme symptoms? Or is it always a full blown cold and struggle to breathe?Can coronavirus symptoms be mild for some people versus severe? For example, could it just involve being very fatigued, low grade fever for a few days and not the extreme symptoms? Or is it always a full blown cold and struggle to breathe?'}, 
                           {'speaker': 'Doctor', 
                            'utterance': 'In brief:   Symptoms vary.   Some may have no symptoms at all. Some can be life threatening.   Would you like to video or text chat with me?'}]
}

The dataset is built from icliniq.com , healthcaremagic.com , healthtap.com and all copyrights of the data belong to these websites. (for English)

The dataset is built from Haodf.com and all copyrights of the data belong to Haodf.com . (for Chinese)

Data Fields

Each consultation consists of the below:

• ID
• URL
• Description of patient’s medical condition
• Dialogue
• Diagnosis and suggestions (Optional, mostly for Chinese)

For generating the QA only the below fields have been considered:

• ID : Consultatation Identifier (restarts for each file)
• URL: The url link of the extracted conversation
• Dialogue : The conversation between the doctor and the patient.

These are arranged as below in the prepared dataset. Each item will be represented with these parameters.

• "file_name": string - signifies the file from which the conversation was extracted
• "dialogue_id": int32 - the dialogue id
• "dialogue_url": string - url of the conversation
• "dialogue_turns": datasets.Sequence - sequence of dialogues between patient and the doctor.Consists ClassLabel(names=["病人", "医生"]), and "utterance"(string) for each turn. (ClassLable(names=["Patient", "Doctor"]) for english)

Data Splits

There are no data splits on the original data

Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

@article{ju2020CovidDialog, title={CovidDialog: Medical Dialogue Datasets about COVID-19}, author={Ju, Zeqian and Chakravorty, Subrato and He, Xuehai and Chen, Shu and Yang, Xingyi and Xie, Pengtao}, journal={ https://github.com/UCSD-AI4H/COVID-Dialogue} , year={2020} }

Contributions

Thanks to @vrindaprabhu for adding this dataset.