AI BriefingHugging Face Unveils Synthetic Data Generator Based on Natural Language
Key point
Synthetic Data Generator, a no-code tool that lets you create custom datasets using only natural language descriptions, has been released.
Details
Synthetic Data Generator, a no-code application that lets you build custom datasets through natural language descriptions, has been released. This tool runs on distilabel and the Hugging Face text-generation API, enabling dataset creation in minutes without complex coding.
The main tasks currently supported are as follows:
- Text Classification: Generate datasets for classifying customer reviews, news articles, and more. This involves generating text and then adding labels.
- Chat Datasets: Generate datasets for supervised fine-tuning (SFT) of conversational LLMs.
Users can describe the purpose of their dataset in detail, then refine the results by adjusting the generated system prompt. The final generated dataset is uploaded directly to Argilla and the Hugging Face Hub, making it immediately usable. By default, samples can be generated via a free API, and users can scale up using custom models or API providers according to their settings.
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