Automated JSONL File Generator for ChatGPT Fine-Tuning Using .NET

I developed an automated JSONL generator to streamline the creation of JSONL files required for OpenAI fine-tuning (ChatGPT), significantly reducing manual effort and enabling faster turnaround for future data preparation tasks.
Problem:
A manager asked me to convert an Excel file with 50+ prompt-response pairs into a JSONL file following the ChatGPT JSONL format, which is essential for fine-tuning of ChatGPT. Manually doing this would have been time-consuming, error-prone, and unsustainable for future datasets.
Challenges Faced:

- Manual conversion of 50+ rows into JSONL would have taken hours.
- The structure had to follow strict formatting rules defined for ChatGPT JSONL fine-tuning, with no room for errors.
- Needed a solution that could scale and allow others to create JSONL for ChatGPT without needing technical skills.
Actions Taken:
1. Built a .NET Console App:
I created a .NET JSONL generator, a lightweight tool that reads prompt-response pairs from an Excel file and formats them into the proper JSONL structure. This served as both a JSONL file generator and a reusable asset for future use.
2. Automated the Workflow:
The application automatically parses Excel rows and outputs the data into OpenAI-compliant JSONL using the correct schema. The ChatGPT fine-tuning tool removed the need for any manual formatting, cutting down the process to seconds.
3. Enabled Reusability:
The tool was designed as a .NET ChatGPT fine-tune utility that allows team members to repeatedly and easily create JSONL datasets from new Excel files.
4. Outcome:
- Successfully generated the required JSONL file in minutes.
- Eliminated the need for manual formatting and reduced risk of structural errors.
- Tool is now available for reuse in future OpenAI fine-tuning projects.
- Showcased initiative and technical problem-solving by developing an internal JSONL generator.
Impact:
This solution has streamlined OpenAI fine-tuning data preparation and supports the company’s AI/ML goals by making the process faster, error-free, and accessible. It’s a sustainable way to manage growing data needs using automation and reusability.
If you are want to fine-tune your ChatGPT with our Azure Machine Learning Services, you can contact us here.