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