Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
100K - 1M
metadata
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
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 for adding this dataset.