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--- |
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dataset_info: |
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features: |
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- name: text |
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dtype: string |
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- name: label |
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dtype: int64 |
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splits: |
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- name: batch_1 |
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num_bytes: 46192740 |
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num_examples: 50000 |
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- name: batch_2 |
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num_bytes: 46360340 |
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num_examples: 50000 |
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- name: batch_3 |
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num_bytes: 46743314 |
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num_examples: 50000 |
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- name: batch_4 |
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num_bytes: 46860797 |
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num_examples: 50000 |
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- name: batch_5 |
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num_bytes: 46682702 |
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num_examples: 50000 |
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- name: batch_6 |
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num_bytes: 46581416 |
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num_examples: 50000 |
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- name: batch_7 |
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num_bytes: 46120155 |
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num_examples: 50000 |
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- name: batch_8 |
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num_bytes: 46671186 |
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num_examples: 50000 |
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- name: batch_9 |
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num_bytes: 46687352 |
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num_examples: 50000 |
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- name: batch_10 |
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num_bytes: 14239074 |
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num_examples: 15051 |
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- name: validation |
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num_bytes: 86522372 |
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num_examples: 92976 |
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- name: test |
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num_bytes: 21842704 |
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num_examples: 23190 |
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download_size: 328660016 |
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dataset_size: 541504152 |
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configs: |
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- config_name: default |
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data_files: |
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- split: batch_1 |
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path: data/batch_1-* |
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- split: batch_2 |
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path: data/batch_2-* |
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- split: batch_3 |
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path: data/batch_3-* |
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- split: batch_4 |
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path: data/batch_4-* |
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- split: batch_5 |
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path: data/batch_5-* |
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- split: batch_6 |
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path: data/batch_6-* |
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- split: batch_7 |
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path: data/batch_7-* |
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- split: batch_8 |
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path: data/batch_8-* |
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- split: batch_9 |
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path: data/batch_9-* |
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- split: batch_10 |
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path: data/batch_10-* |
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- split: validation |
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path: data/validation-* |
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- split: test |
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path: data/test-* |
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license: cc-by-4.0 |
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task_categories: |
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- text-classification |
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language: |
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- en |
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tags: |
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- medical |
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size_categories: |
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- 100K<n<1M |
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--- |
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--- |
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- annotations_creators: |
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- original |
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- language: |
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- en |
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- license: cc-by-4.0 |
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- multilinguality: monolingual |
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- pretty_name: DDCBot Mental Disorders Dataset (Split) |
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- size_categories: |
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- 100K<n<1M |
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- source_datasets: |
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- Kanakmi/mental-disorders |
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- task_categories: |
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- text-classification |
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- task_ids: |
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- multi-class-classification |
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--- |
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# DDCBot Mental Disorders Dataset (Split Batches) |
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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. |
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## 🧠 About DDCBot |
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**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: |
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- Detect early signs of various disorders. |
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- Provide classification support for mental health professionals. |
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- Understand linguistic features in user expressions that may relate to psychological conditions. |
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## 📊 Dataset Structure |
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The dataset is split into the following subsets: |
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- `batch_1` to `batch_10`: 50k training records each from the Kanakmi/mental-disorders dataset |
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- `validation`: Original validation set |
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- `test`: Original test set |
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Each batch (e.g., `batch_1`, `batch_2`, ..., `batch_10`) contains ~50,000 samples with the following fields: |
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- `text`: The user's expression or social media post. |
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- `label`: An integer representing one of several mental health conditions (e.g., depression, anxiety, PTSD, etc.). |
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## 🔢 Label Classes |
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The dataset includes multiple classes such as: |
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Labels: |
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- 0:'BPD' |
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- 1:'bipolar' |
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- 2:'depression' |
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- 3:'Anxiety' |
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- 4:'schizophrenia' |
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- 5:'mentalillness' |
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*(Label mapping can be extracted from the original dataset.)* |
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--- |