
# Dataset Card for [Dataset Name]

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** https://github.com/UCSD-AI4H/COVID-Dialogue
- **Repository:** The data is also present in the same [GIT](https://github.com/UCSD-AI4H/COVID-Dialogue) repository
- **Paper:** https://pengtaoxie.github.io/coviddiag.pdf
- **Leaderboard:**
- **Point of Contact:**

### 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](https://arxiv.org/abs/2005.05442).

### 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](https://www.icliniq.com/), [healthcaremagic.com](https://www.healthcaremagic.com/), [healthtap.com](https://www.healthtap.com/) and all copyrights of the data belong to these websites. _(for English)_

The dataset is built from [Haodf.com](https://www.haodf.com/) and all copyrights of the data belong to [Haodf.com](https://www.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

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### 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](https://github.com/vrindaprabhu) for adding this dataset.
task_categories:question-answering task_ids:closed-domain-qa annotations_creators:found language_creators:expert-generated language_creators:found multilinguality:monolingual size_categories:1K<n<10K size_categories:n<1K source_datasets:original language:en language:zh license:unknown arxiv:2005.05442 region:us
{"annotations_creators": ["found"], "language_creators": ["expert-generated", "found"], "language": ["en", "zh"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K", "n<1K"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": ["closed-domain-qa"], "pretty_name": "CovidQaUcsd", "config_names": ["en", "zh"], "dataset_info": [{"config_name": "en", "features": [{"name": "dialogue_id", "dtype": "int32"}, {"name": "dialogue_url", "dtype": "string"}, {"name": "dialogue_turns", "sequence": [{"name": "speaker", "dtype": {"class_label": {"names": {"0": "Patient", "1": "Doctor"}}}}, {"name": "utterance", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 484944, "num_examples": 572}], "download_size": 0, "dataset_size": 484944}, {"config_name": "zh", "features": [{"name": "dialogue_id", "dtype": "int32"}, {"name": "dialogue_url", "dtype": "string"}, {"name": "dialogue_turns", "sequence": [{"name": "speaker", "dtype": {"class_label": {"names": {"0": "\u75c5\u4eba", "1": "\u533b\u751f"}}}}, {"name": "utterance", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 1352377, "num_examples": 1088}], "download_size": 0, "dataset_size": 1352377}]}
TAGS
#task_categories-question-answering #task_ids-closed-domain-qa #annotations_creators-found #language_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #size_categories-n<1K #source_datasets-original #language-English #language-Chinese #license-unknown #arxiv-2005.05442 #region-us 


# Dataset Card for [Dataset Name]

## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions

## Dataset Description

- Homepage: URL
- Repository: The data is also present in the same GIT repository
- Paper: URL
- Leaderboard:
- Point of Contact:

### 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. URL for Chinese and URL 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:



The dataset is built from URL, URL, URL and all copyrights of the data belong to these websites. _(for English)_

The dataset is built from URL and all copyrights of the data belong to URL.  _(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



### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

#### Annotation process



#### Who are the annotators?



### Personal and Sensitive Information



## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators



### Licensing 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={ URL 
  year={2020}
}

### Contributions

Thanks to @vrindaprabhu for adding this dataset.
# Dataset Card for [Dataset Name] ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage: URL
- Repository: The data is also present in the same GIT repository
- Paper: URL
- Leaderboard:
- Point of Contact: ### 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. URL for Chinese and URL 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:



The dataset is built from URL, URL, URL and all copyrights of the data belong to these websites. _(for English)_

The dataset is built from URL and all copyrights of the data belong to URL.  _(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 ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing 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={ URL 
  year={2020}
} ### Contributions

Thanks to @vrindaprabhu for adding this dataset.
TAGS
#task_categories-question-answering #task_ids-closed-domain-qa #annotations_creators-found #language_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #size_categories-n<1K #source_datasets-original #language-English #language-Chinese #license-unknown #arxiv-2005.05442 #region-us 
 # Dataset Card for [Dataset Name] ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage: URL
- Repository: The data is also present in the same GIT repository
- Paper: URL
- Leaderboard:
- Point of Contact: ### 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. URL for Chinese and URL 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:



The dataset is built from URL, URL, URL and all copyrights of the data belong to these websites. _(for English)_

The dataset is built from URL and all copyrights of the data belong to URL.  _(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 ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing 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={ URL 
  year={2020}
} ### Contributions

Thanks to @vrindaprabhu for adding this dataset.
passage: TAGS
#task_categories-question-answering #task_ids-closed-domain-qa #annotations_creators-found #language_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #size_categories-n<1K #source_datasets-original #language-English #language-Chinese #license-unknown #arxiv-2005.05442 #region-us 
# Dataset Card for [Dataset Name]## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions## Dataset Description

- Homepage: URL
- Repository: The data is also present in the same GIT repository
- Paper: URL
- Leaderboard:
- Point of Contact:### 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. URL for Chinese and URL 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. passage: ### Languages

Monolingual. The datasets are in English (EN) and Chinese (ZH)## Dataset Structure### Data Instances

An example of dialogue is:



The dataset is built from URL, URL, URL and all copyrights of the data belong to these websites. _(for English)_

The dataset is built from URL and all copyrights of the data belong to URL.  _(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### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information## Considerations for Using the Data### Social Impact of Dataset### Discussion of Biases### Other Known Limitations## Additional Information### Dataset Curators