---
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype: int64
  splits:
  - name: batch_1
    num_bytes: 46192740
    num_examples: 50000
  - name: batch_2
    num_bytes: 46360340
    num_examples: 50000
  - name: batch_3
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    num_examples: 50000
  - name: batch_4
    num_bytes: 46860797
    num_examples: 50000
  - name: batch_5
    num_bytes: 46682702
    num_examples: 50000
  - name: batch_6
    num_bytes: 46581416
    num_examples: 50000
  - name: batch_7
    num_bytes: 46120155
    num_examples: 50000
  - name: batch_8
    num_bytes: 46671186
    num_examples: 50000
  - name: batch_9
    num_bytes: 46687352
    num_examples: 50000
  - name: batch_10
    num_bytes: 14239074
    num_examples: 15051
  - name: validation
    num_bytes: 86522372
    num_examples: 92976
  - name: test
    num_bytes: 21842704
    num_examples: 23190
  download_size: 328660016
  dataset_size: 541504152
configs:
- config_name: default
  data_files:
  - split: batch_1
    path: data/batch_1-*
  - split: batch_2
    path: data/batch_2-*
  - split: batch_3
    path: data/batch_3-*
  - split: batch_4
    path: data/batch_4-*
  - split: batch_5
    path: data/batch_5-*
  - split: batch_6
    path: data/batch_6-*
  - split: batch_7
    path: data/batch_7-*
  - split: batch_8
    path: data/batch_8-*
  - split: batch_9
    path: data/batch_9-*
  - split: batch_10
    path: data/batch_10-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
license: cc-by-4.0
task_categories:
- text-classification
language:
- en
tags:
- medical
size_categories:
- 100K<n<1M
---



---
 - annotations_creators:
   - original
 - language:
   - en
 - license: cc-by-4.0
 - multilinguality: monolingual
 - pretty_name: DDCBot Mental Disorders Dataset (Split)
 - size_categories:
   - 100K<n<1M
 - source_datasets:
   - Kanakmi/mental-disorders
 - task_categories:
   - text-classification
 - task_ids:
   - multi-class-classification
---

# DDCBot Mental Disorders Dataset (Split Batches)

This dataset is derived from [`Kanakmi/mental-disorders`](https://huggingface.co/datasets/Kanakmi/mental-disorders), and has been **split into 10 batches** of 50,000 records each to facilitate efficient Large Language Model (LLM) fine-tuning for the DDCBot project.

## 🧠 About DDCBot

**DDCBot** (Disorder Detection & Care Bot) is an intelligent mental health assistant that uses fine-tuned LLMs to identify patterns in mental health-related textual data. It aims to:
- Detect early signs of various disorders.
- Provide classification support for mental health professionals.
- Understand linguistic features in user expressions that may relate to psychological conditions.

## 📊 Dataset Structure

The dataset is split into the following subsets:

- `batch_1` to `batch_10`: 50k training records each from the Kanakmi/mental-disorders dataset
- `validation`: Original validation set
- `test`: Original test set

Each batch (e.g., `batch_1`, `batch_2`, ..., `batch_10`) contains ~50,000 samples with the following fields:

- `text`: The user's expression or social media post.
- `label`: An integer representing one of several mental health conditions (e.g., depression, anxiety, PTSD, etc.).



## 🔢 Label Classes

The dataset includes multiple classes such as:
Labels:
 - 0:'BPD'
 - 1:'bipolar'
 - 2:'depression'
 - 3:'Anxiety'
 - 4:'schizophrenia'
 - 5:'mentalillness'

 

*(Label mapping can be extracted from the original dataset.)*

---