- Synthetic Dataset [Only New]

- Models

- Training Reciepe

- `propmpts` contain all the different prompts used in synthetic data generation

- `config` contains the yaml file to map prompts to their corresponding location

- `utils.py` contains the helper code to extract and parse data from LLM responses

- `data_pipeline.py` contains the main source code for generating synthetic data according to the pipeline explained in our paper.

- Make sure the proper packages are installed via the `environment.yaml` file provided at root folder

- Run the following command for generating data with Llama-3.3-70B-Instruct Model

```bash

python data_pipeline.py --output_dir /path_to_output --language "python" --data_path /path_to_seed_code --llm_path huggingface/local path to LLM

```

prompt_directory: "prompts/prompts-2"

prompts:

problem_code: "problem-code.txt"

code_edit_generation: "code-edit.txt"

generate_instructions: "instructions.txt"

quality_check: "quality-check.txt"