task_categories:text-classification size_categories:100K<n<1M language:en license:apache-2.0 medical region:us
---
license: apache-2.0
task_categories:
- text-classification
language:
- en
tags:
- medical
size_categories:
- 100K<n<1M
---
# Dataset Card for Dataset Name

## Dataset Description

- **Homepage:** https://github.com/NASA-Tournament-Lab/CDC-NLP-Occ-Injury-Coding
- **Repository:** 
- **Paper:** 
- **Leaderboard:** 
- **Point of Contact:** 

### Dataset Summary

Dataset used in 2018 NASA-Tournament-Lab organized in collaboration with National Institute for Occupational Safety and Health (NIOSH),
The goal of the competition was to classify unstructured free-text “injury narratives” 
recorded in surveillance systems into injury codes from the Occupational Injuries and Illnesses Classification System (OIICS)

### Supported Tasks and Leaderboards

This is a multi-class text classification task.The training dataset includes 48 classifiable event codes distributed across 7 categories:

* Violence and other injuries by persons and animals
* Transportation incidents
* Fires and explosions
* Falls, slips, and trips
* Exposure to harmful substances or environments
* Contact with objects and equipment
* Overexertion and bodily reaction

For example the text 'DOING UNSPECIFIED LIFTING AT WORK AND DEVELOPED PAIN ACROSS CHEST CHEST PAIN' is coded by 71 which means 'Overexertion involving outside sources'
More details on the categories and event codes can be found at: https://wwwn.cdc.gov/wisards/oiics/Trees/MultiTree.aspx?TreeType=Event


### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

* text: injury narrative description
* sex : sex
* age : age 
* event : OIICS code, which is the classfication label

### Data Splits

|   name   |train|test|full_dataset |
|----------|----:|-----------:|----:|
|plain_text|153,956|       75,864|229,820|

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

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### Citation Information

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### Contributions

[More Information Needed]