# Dataset Card for "medical-keywords"

## Dataset Description

- **Homepage:** Kaggle Challenge
- **Repository:** https://www.kaggle.com/datasets/tboyle10/medicaltranscriptions
- **Paper:** N.A.
- **Leaderboard:** N.A.
- **Point of Contact:** N.A.

### Dataset Summary

Medical transcription data scraped from mtsamples.com
Medical data is extremely hard to find due to HIPAA privacy regulations. This dataset offers a solution by providing medical transcription samples.
This dataset contains sample medical transcriptions for various medical specialties.

### Languages

english 

### Citation Information

Acknowledgements

Medical transcription data scraped from mtsamples.com

### Contributions

Thanks to [@davidberenstein1957](https://github.com/davidberenstein1957) for adding this dataset.
task_categories:token-classification task_ids:named-entity-recognition size_categories:100K<n<1M source_datasets:original language:en region:us
{"language": ["en"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["keyphrase-extraction", "named-entity-recognition"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "prediction", "list": [{"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "score", "dtype": "float64"}, {"name": "start", "dtype": "int64"}]}, {"name": "prediction_agent", "dtype": "string"}, {"name": "annotation", "dtype": "null"}, {"name": "annotation_agent", "dtype": "null"}, {"name": "id", "dtype": "null"}, {"name": "metadata", "struct": [{"name": "medical_specialty", "dtype": "string"}]}, {"name": "status", "dtype": "string"}, {"name": "event_timestamp", "dtype": "timestamp[us]"}, {"name": "metrics", "dtype": "null"}], "splits": [{"name": "train", "num_bytes": 58986555, "num_examples": 148699}], "download_size": 17498377, "dataset_size": 58986555}}
TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #size_categories-100K<n<1M #source_datasets-original #language-English #region-us 

# Dataset Card for "medical-keywords"

## Dataset Description

- Homepage: Kaggle Challenge
- Repository: URL
- Paper: N.A.
- Leaderboard: N.A.
- Point of Contact: N.A.

### Dataset Summary

Medical transcription data scraped from URL
Medical data is extremely hard to find due to HIPAA privacy regulations. This dataset offers a solution by providing medical transcription samples.
This dataset contains sample medical transcriptions for various medical specialties.

### Languages

english 



Acknowledgements

Medical transcription data scraped from URL

### Contributions

Thanks to @davidberenstein1957 for adding this dataset.
# Dataset Card for "medical-keywords" ## Dataset Description

- Homepage: Kaggle Challenge
- Repository: URL
- Paper: N.A.
- Leaderboard: N.A.
- Point of Contact: N.A. ### Dataset Summary

Medical transcription data scraped from URL
Medical data is extremely hard to find due to HIPAA privacy regulations. This dataset offers a solution by providing medical transcription samples.
This dataset contains sample medical transcriptions for various medical specialties. ### Languages

english 



Acknowledgements

Medical transcription data scraped from URL ### Contributions

Thanks to @davidberenstein1957 for adding this dataset.
TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #size_categories-100K<n<1M #source_datasets-original #language-English #region-us 
 # Dataset Card for "medical-keywords" ## Dataset Description

- Homepage: Kaggle Challenge
- Repository: URL
- Paper: N.A.
- Leaderboard: N.A.
- Point of Contact: N.A. ### Dataset Summary

Medical transcription data scraped from URL
Medical data is extremely hard to find due to HIPAA privacy regulations. This dataset offers a solution by providing medical transcription samples.
This dataset contains sample medical transcriptions for various medical specialties. ### Languages

english 



Acknowledgements

Medical transcription data scraped from URL ### Contributions

Thanks to @davidberenstein1957 for adding this dataset.