README.md

metadata

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
      num_bytes: 46743314
      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, 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.)

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