---
license: mit
task_categories:
- text-classification
language:
- en
tags:
- emotion-detection
- nlp
- emotion-classification
- mental-health
pretty_name: Mental Health Posts Dataset
size_categories:
- 10K<n<100K
---
# 🧠 Mental Health Posts Dataset

This dataset is curated for mental health emotion classification tasks. It originates from the **Counsel Chat Dataset** available on Kaggle and has been preprocessed and restructured to suit NLP-based classification models.

## 📄 Overview

The dataset is designed to support the training and evaluation of models that classify user-generated mental health posts into one of the following categories:

- `depression`
- `anxiety`
- `suicidal`
- `addiction`
- `eating_disorder`

These categories represent primary mental health concerns commonly discussed in therapy or support communities.

---

## 📁 Files and Structure

### ✅ `/trainingData/final_sampled_dataset.csv`

- **Source**: Combined 20% samples from five individual emotion category files (from Kaggle).
- **Columns**:
  - `posts`: The actual text content of the mental health post.
  - `main_label`: The main category label for classification.
  - `sub_label`: A finer-grained label, **not used** in this version of the model.

### ✅ `/testingData/final_dataset2.csv`

- **Source**: Posts collected from Reddit-like sources used as a separate test set.
- **Columns**:
  - `selftext`: The post content.
  - `subreddit`: The subreddit name used as a proxy label (e.g., `depression`, `anxiety`, etc.).

---

## 🛠️ Construction Details

- 20% data was sampled from each category file of the **Counsel Chat Dataset**.
- Merged into a unified format for training.
- Testing data was kept separate to ensure generalization from a different distribution.

---

## 🔍 Use Cases

This dataset supports:
- Emotion classification model training.
- Mental health support system simulations.
- Research on text-based diagnostic AI in psychology.

---

## 📜 Source

- **Original Dataset**: [Counsel Chat Dataset on Kaggle](https://www.kaggle.com/datasets/)
- **Author**: [Noobie314](https://huggingface.co/Noobie314)
- **License**: Educational & Research Use Only. Respect original Kaggle dataset licensing terms.

---

## 🤝 Citation

```
@misc{mentalhealthdataset2025,
  author       = {Noobie314},
  title        = {Mental Health Posts Dataset},
  year         = {2025},
  url          = {https://huggingface.co/datasets/Noobie314/mental-health-posts-dataset}
}
```