
# Dataset Card for [scnclab2023]

## Table of Contents
- [Table of Contents](#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:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:** relevanthint@gmail.com

### Dataset Summary

[More Information Needed]

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

The Dataset has been created using the GPT-3 API by providing a prompt with some manually created clinical notes.


#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

The annotation has been done using [Argilla](https://github.com/argilla-io)

#### Who are the annotators?

The sinthetical clinical notes have been annotated by a group of three biomedical experts

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

Note that this is not a real dataset.

### 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

[More Information Needed]

### Contributions

Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
task_categories:token-classification task_ids:named-entity-recognition annotations_creators:expert-generated language_creators:machine-generated multilinguality:monolingual size_categories:n<1K source_datasets:original language:en bio clinic cancer region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["machine-generated"], "language": ["en"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "paperswithcode_id": "scnclab2023", "pretty_name": "Synthetical Clinical Notes - Clab 2023", "dataset_info": {"features": [{"name": "tokens", "sequence": "string"}, {"name": "ner_tags", "sequence": {"class_label": {"names": {"0": "O", "1": "B-allergies", "2": "I-allergies", "3": "B-biomarkers", "4": "I-biomarkers", "5": "B-cancer_symptoms", "6": "I-cancer_symptoms", "7": "B-cancer_type", "8": "I-cancer_type", "9": "B-date", "10": "I-date", "11": "B-diagnosis", "12": "I-diagnosis", "13": "B-gender", "14": "I-gender", "15": "B-imaging_options", "16": "I-imaging_options", "17": "B-test_result", "18": "I-test_result", "19": "B-treatment", "20": "I-treatment"}}}}]}, "tags": ["bio", "clinic", "cancer"]}
TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #bio #clinic #cancer #region-us 


# Dataset Card for [scnclab2023]

## Table of Contents
- 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:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact: relevanthint@URL

### Dataset Summary



### Supported Tasks and Leaderboards



### Languages



## Dataset Structure

### Data Instances



### Data Fields



### Data Splits



## Dataset Creation

### Curation Rationale

The Dataset has been created using the GPT-3 API by providing a prompt with some manually created clinical notes.


#### Who are the source language producers?



### Annotations

#### Annotation process

The annotation has been done using Argilla

#### Who are the annotators?

The sinthetical clinical notes have been annotated by a group of three biomedical experts

### Personal and Sensitive Information



## Considerations for Using the Data

### Social Impact of Dataset

Note that this is not a real dataset.

### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators



### Licensing Information







### Contributions

Thanks to @github-username for adding this dataset.
# Dataset Card for [scnclab2023] ## Table of Contents
- 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:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact: relevanthint@URL ### Dataset Summary ### Supported Tasks and Leaderboards ### Languages ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale

The Dataset has been created using the GPT-3 API by providing a prompt with some manually created clinical notes. #### Who are the source language producers? ### Annotations #### Annotation process

The annotation has been done using Argilla #### Who are the annotators?

The sinthetical clinical notes have been annotated by a group of three biomedical experts ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset

Note that this is not a real dataset. ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions

Thanks to @github-username for adding this dataset.
TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #bio #clinic #cancer #region-us 
 # Dataset Card for [scnclab2023] ## Table of Contents
- 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:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact: relevanthint@URL ### Dataset Summary ### Supported Tasks and Leaderboards ### Languages ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale

The Dataset has been created using the GPT-3 API by providing a prompt with some manually created clinical notes. #### Who are the source language producers? ### Annotations #### Annotation process

The annotation has been done using Argilla #### Who are the annotators?

The sinthetical clinical notes have been annotated by a group of three biomedical experts ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset

Note that this is not a real dataset. ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions

Thanks to @github-username for adding this dataset.