Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
100K - 1M
File size: 1,744 Bytes
24e86f8 39ff58c 11ab6c4 24e86f8 39ff58c |
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---
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](https://github.com/davidberenstein1957) for adding this dataset. |