Update README.md

README.md

@@ -62,3 +62,56 @@ configs:
   - split: batch_10
     path: data/batch_10-*
 ---
+
+
+
+---
+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
+
+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.)*
+
+