Create README.md

README.md

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+---
+license: mit
+language:
+  - en
+  - fa
+tags:
+  - therapy
+pretty_name: Multilingual Therapy Dialogues
+size_categories:
+  - 1K<n<10K
+---
+
+[![arXiv](https://img.shields.io/badge/arXiv-Paper-<COLOR>.svg)]() [![GitHub](https://img.shields.io/badge/GitHub-Code-181717?logo=github)]()
+
+## Dataset Summary
+**Multilingual Therapy Dialogues** is a diverse and bilingual dataset consisting of paired dialogues between patients and therapists in both Persian and English.
+
+## Dataset Statistics
+- Number of samples: 7,179  
+
+**English:**
+1. Average tokens per sentence: 101.30  
+2. Maximum tokens in a sentence: 939  
+3. Average characters per sentence: 567.85  
+4. Number of unique tokens: 32,968  
+
+**Persian:**
+1. Average tokens per sentence: 100.06  
+2. Maximum tokens in a sentence: 1,413  
+3. Average characters per sentence: 516.57  
+4. Number of unique tokens: 33,298  
+
+## Dataset Fields
+1. **Patient**: Original English text spoken by the patient.  
+2. **Therapist**: Original English text spoken by the therapist.  
+3. **Translated Patient**: Persian translation of the patient's text.  
+4. **Translated Therapist**: Persian translation of the therapist's text.  
+
+## Dataset Generation Pipeline
+
+The dataset was constructed using the following steps:
+
+1. **Data Collection**: Dialogues were collected from various public sources, including:
+   - [Mental Health Counseling Conversations](https://huggingface.co/datasets/Amod/mental_health_counseling_conversations)
+   - [Mental Health CSV Dataset](https://www.kaggle.com/datasets/zuhairhasanshaik/datacsv)
+   - [Mental Health Conversational Data](https://www.kaggle.com/datasets/elvis23/mental-health-conversational-data)
+   - Additional manually curated sources
+
+2. **Translation**: English dialogues were translated into Persian using the [SeamlessM4T model](https://github.com/facebookresearch/seamless_communication) by Meta AI.
+
+3. **Refinement**: Translations were revised and enhanced in three steps using GPT-4o:
+   - First pass to make the tone more natural and emotionally sympathetic to be more likely to real world scenarios.
+   - Second pass to improve fluency and human-likeness.
+   - Final pass for consistency and correction of subtle translation errors.
+
+4. **Filtering**: Only meaningful and conte
+
+
+## Usage Instructions
+
+### Option 1: Manual Download
+
+Visit the [dataset repository](https://huggingface.co/datasets/Algorithmic-Human-Development-Group/Multilingual-Therapy-Dialogues/tree/main) and download the `SAT_dataset.csv` file.
+
+### Option 2: Programmatic Download
+
+Use the `huggingface_hub` library to download the dataset programmatically:
+
+```python
+from huggingface_hub import hf_hub_download
+import pandas as pd
+
+dataset = hf_hub_download(
+    repo_id="Algorithmic-Human-Development-Group/Multilingual-Therapy-Dialogues",
+    filename="SAT_dataset.csv",
+    repo_type="dataset"
+)
+df = pd.read_csv(dataset)
+df.head()
+```
+
+## Citations
+If you find our paper, code, data, or models useful, please cite the paper:  
+```
+To be updated once the paper is published.
+```
+
+## Contact
+If you have questions, please email sinaaelahimanesh@gmail.com or mahdi.abootorabi2@gmail.com.