task_categories:question-answering task_categories:text-generation size_categories:n<1K language:en license:openrail medical region:us
---
license: openrail
task_categories:
- question-answering
- text-generation
language:
- en
tags:
- medical
size_categories:
- n<1K
---

# Dataset Description 

- **Point of Contact:** [amod@silverlineit.co]

## Dataset Summary

This dataset contains information about common hair related diseases. It includes the disease name, the medicine used to treat the disease, the duration of treatment, the severity of the disease, and the common side effects of each medication.

## Supported Tasks and Leaderboards

This dataset supports tasks like medication recommendation, disease diagnosis based on symptoms, etc.

## Languages

The text in the dataset is in English. The text is medical terms and the names of the diseases, medications, and side effects are internationally recognized terms.

# Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

## Data Instances

A data instance has the following structure:

\```json
{
  "Hair Diseases": "Alopecia Areata",
  "Medicine": "Minoxidil solution",
  "Duration": "12 months",
  "Severity": "Severe",
  "Side Effects": "Scalp irritation, Unwanted hair growth, Dizziness"
}
\```

## Data Fields

- `Hair Diseases`: The name of the hair related disease.
- `Medicine`: The medication used to treat the disease.
- `Duration`: The duration of treatment.
- `Severity`: The severity of the disease.
- `Side Effects`: A list of common side effects of the medication.

## Data Splits

The dataset has not been split into train, test, and validation sets.

# Dataset Creation

## Curation Rationale

The dataset was created to assist in medical research and to aid in disease diagnosis and treatment recommendation.

## Source Data

### Initial Data Collection and Normalization

The dataset was collected from various medical resources and compiled into a structured CSV file.

### Who are the source language producers?

The original language data was produced by medical professionals.

## Annotations

The dataset does not contain any annotations.

# Considerations for Using the Data

## Social Impact of Dataset

The dataset could be used to create systems that provide treatment recommendations for common hair related diseases, helping to improve healthcare outcomes.

## Discussion of Biases

The dataset does not contain any explicit biases as it is based on medical facts. However, it is limited to common hair diseases and their treatments and does not include all possible diseases or treatments.

## Other Known Limitations

The dataset only includes the most common side effects of the medications and does not cover all potential side effects.

# Additional Information

## Dataset Curators

The dataset was curated by [Amod](https://huggingface.co/Amod).

## Citation Information

To the best of our knowledge, this dataset has not been cited in any publications.