Validate JSONL format for fine-tuning
Browse and search datasets
Data annotation for Sparky
Organize and process datasets using AI
Clean and process datasets
Speech Corpus Creation Tool
Display translation benchmark results from NTREX dataset
Build datasets and workflows using AI models
Upload files to a Hugging Face repository
Generate a Parquet file for dataset validation
Manage and annotate datasets
Build datasets using natural language
List of French datasets not referenced on the Hub
GPT-Fine-Tuning-Formatter is a tool designed to validate and format JSONL datasets for fine-tuning GPT models. It ensures that your dataset adheres to the required structure and format, making it ready for model fine-tuning. This tool is essential for anyone preparing datasets for training or adjusting GPT models, as it helps identify and correct formatting issues before the fine-tuning process begins.
• JSONL Validation: Ensures that each line in your dataset is valid JSON.
• Error Detection: Identifies formatting issues such as missing fields or invalid structures.
• Data Preview: Provides a preview of your dataset to help you understand its structure.
• Auto-Correction: Automatically fixes common formatting errors.
• Custom Schema Support: Allows you to define a custom schema for advanced validation.
1. What happens if my JSONL file is invalid?
If your JSONL file is invalid, GPT-Fine-Tuning-Formatter will identify the errors and provide a detailed report. You can then fix these issues before proceeding with fine-tuning.
2. Can GPT-Fine-Tuning-Formatter fix errors automatically?
Yes, the tool includes an auto-correction feature that can fix common formatting errors. However, for complex issues, manual intervention may be required.
3. How do I use a custom schema with GPT-Fine-Tuning-Formatter?
You can define a custom schema in a separate JSON file and specify its path when running the tool. This allows you to enforce specific data structures beyond basic validation.