The data file is ExTES.json.
| Scenarios | Number | Proportion | Scenarios | Number | Proportion |
|---|---|---|---|---|---|
| Breakups or Divorce | 710 | 6.3% | Navigating Gender Identity and Transitioning | 202 | 1.8% |
| Conflicts or Communication Problems | 1,109 | 9.9% | Moving to a New City or Country | 202 | 1.8% |
| Communication Challenges | 1,008 | 9.0% | Career Transitions | 202 | 1.8% |
| Coping with the Death of a Loved One | 593 | 5.3% | Parenthood and Parenting Challenges | 202 | 1.8% |
| Dealing with the Loss of a Pet | 601 | 5.4% | Low Self-Esteem or Lack of Confidence | 302 | 2.7% |
| Work-related Stress and Burnout | 403 | 3.6% | Body Image Concerns and Eating Disorders | 101 | 0.9% |
| Financial Worries and Uncertainty | 403 | 3.6% | LGBTQ+ Identity | 101 | 0.9% |
| Unemployment-related Stress | 403 | 3.6% | Cultural Identity and Belonging | 101 | 0.9% |
| Academic Stress | 403 | 3.6% | Academic Stress or Pressure | 202 | 1.8% |
| Spirituality and Faith | 202 | 1.8% | Job Loss or Career Setbacks | 202 | 1.8% |
| Managing Bipolar Disorder | 202 | 1.8% | Parenting Challenges and Parental Guilt | 202 | 1.8% |
| Anxiety and Panic | 202 | 1.8% | Sibling Rivalry or Family Conflict | 403 | 3.6% |
| Depression and Low Mood | 403 | 3.6% | Surviving and Recovering from Physical or Emotional Abuse | 101 | 0.9% |
| Adjusting to a New Job or Role | 302 | 2.7% | Healing from Sexual Assault or Domestic Violence | 101 | 0.9% |
| Chronic Illness or Pain Management | 302 | 2.7% | Post-Traumatic Stress Disorder (PTSD) | 101 | 0.9% |
| Coping with a Diagnosis or Medical Treatment | 202 | 1.8% | Healing from Abuse | 202 | 1.8% |
| Caregiver Support | 202 | 1.8% | Addiction and Recovery | 202 | 1.8% |
| Finding Meaning and Purpose in Life | 202 | 1.8% | Support for Loved Ones or Friends | 202 | 1.8% |
| Strategy Category | Number | Proportion |
|---|---|---|
| Reflective Statements (RS) | 14,560 | 14.8% |
| Clarification (Cla) | 2,898 | 2.9% |
| Emotional Validation (EV) | 19,367 | 19.8% |
| Empathetic Statements (ES) | 8,482 | 8.7% |
| Affirmation (Aff) | 16,539 | 16.9% |
| Offer Hope (OH) | 4,665 | 4.8% |
| Avoid Judgment And Criticism (AJC) | 1,767 | 1.8% |
| Suggest Options (SO) | 6,079 | 6.2% |
| Collaborative Planning (CP) | 3,534 | 3.6% |
| Provide Different Perspectives (PDP) | 3,322 | 3.4% |
| Reframe Negative Thoughts (RNT) | 2,050 | 2.1% |
| Share Information (SI) | 3,181 | 3.3% |
| Normalize Experiences (NE) | 2,403 | 2.6% |
| Promote Self-Care Practices (PSP) | 2,686 | 2.7% |
| Stress Management (SM) | 2,474 | 2.5% |
| Others (Oth) | 3887 | 3.9% |
| Overall | 97,893 | 100% |
1. Use pip to install dependent libraries, enter the project directory, and use the following commands to install:
pip install -r requirements.txt
2. Here we want to fine-tune the instructions based on LLAMA-7B, so we must first download the model weights and perform a series of conversions. Switch to the location of the project and use the following command to download the weights:
python scripts/download.py --repo_id openlm-research/open_llama_7b --local_dir checkpoints/open-llama/7B
3. Use the following command to convert.After the conversion, you will get a lit-llama.pth file with a size of about 26G
python scripts/convert_hf_checkpoint.py --checkpoint_dir checkpoints/open-llama/7B --model_size 7B
python generate.py --prompt "hello"
5. Use the ExTES dataset for fine-tuning, and use the following instructions to preprocess the dataset:
python scripts/prepare_any_text.py
6. Use the following commands to fine-tune. After training, you will get a series of lora weight files in out/lora/extes
python finetune/lora.py
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