metadata
language:
- ar
size_categories:
- 1K<n<10K
task_categories:
- conversational
- text-generation
- text-classification
tags:
- mental health
dataset_info:
features:
- name: content
dtype: string
- name: text_size
dtype: int64
- name: topic
dtype: string
- name: prob
dtype: float64
splits:
- name: train
num_bytes: 6007437.514440433
num_examples: 1884
download_size: 2896563
dataset_size: 6007437.514440433
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
Dataset Card for Nafsy
This arabic dataset is a set of mental health articles. The original dataset was scrapped from Nafsy.net.
Dataset Details
Language(s) (NLP): Arabic
Uses
Direct Use
Fine-tuning llm in the mental health domain.
Dataset Structure
It is a CSV file with columns:
- content: the articles
- text_size: length of article
- topic: top 10 words that describe the topics of the article
- prob: topic prediction accuracy
Dataset Creation
Curation Rationale
Creating an arabic chatbot for mental health support.
Source Data
Data Collection and Processing
- This dataset was originally scrapped from Nafsy.net then uploaded to Kaggle.
- An additional preprocessing was made by this repo owner:
- Cleaning data: removing urls, extra spaces, and non words, detach punctuations, and dropping duplicates
- Applying Topic Modeling to generate main topics for each article using bert-base-arabic model
- Deduplicating data using sentence-transformers (paraphrase-multilingual-MiniLM-L12-v2)
Who are the source data producers?
Citation [optional]
BibTeX:
@misc{Husamal_2021, title={Arabic-physcology-dataset}, url={https://www.kaggle.com/datasets/husamal/arabicphyscologydataset?select=nafsy.csv}, journal={Kaggle}, author={Husamal}, year={2021}, month={May}}
Dataset Card Authors
Muhammad Helmy