We are pleased to announce the release of our Fine-Tuning Dataset in JSONL (JSON Lines) format, designed for optimizing machine learning models. This dataset contains labeled training data, with each line representing a distinct training example in the form of a JSON object. The format is ideal for efficient processing and fine-tuning tasks, with each entry typically structured as an input-output pair. For example, an entry might look like: { "input": "What is the capital of France?", "output": "Paris" }. This resource is now available for download, offering a valuable tool for enhancing the performance of machine learning models.
For more details, please visit our repository.