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---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---
# TranscriptionClassifierCohort
tags: Classification, Medical, Specialty
_Note: This is an AI-generated dataset so its content may be inaccurate or false_
**Dataset Description:** The dataset titled 'TranscriptionClassifierCohort' is designed to assist machine learning practitioners in developing a medical transcription classifier that can differentiate between various medical specialties based on transcription data. Each row in the dataset represents a sample transcription excerpt labeled with the corresponding medical specialty it pertains to. The dataset is intended for training and testing classification models to automate the categorization of medical transcriptions into specific specialties such as Cardiology, Oncology, Neurology, etc.
**CSV Content Preview:**
```csv
id,transcription,label
1,Patient presents with acute chest pain and shortness of breath, Cardiology
2,Discussed potential cancer treatment options with patient, Oncology
3,Reviewed patient's neurological exam and MRI results, Neurology
4,Assessed patient for possible pulmonary issues, Pulmonology
5,Performed a comprehensive gynecological examination, Obstetrics and Gynecology
```
**Source of the data:**
The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'Medical transcription classifier per speciality':
- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=Medical+transcription+classifier+per+speciality&dataset=TranscriptionClassifierCohort&tags=Classification,+Medical,+Specialty
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
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