599yongyang/DatasetLoom

一个面向多模态大模型训练的智能数据集构建与评估平台

46
/ 100
Emerging

This platform helps AI engineers and researchers create high-quality training datasets for multimodal large language models. You input various documents (images, PDFs, text) and define strategies, then the platform outputs structured datasets like question-answer pairs or preference-aligned data, ready for model fine-tuning. It's designed for individuals and teams building or improving AI models.

270 stars.

Use this if you need to systematically build, evaluate, and refine multimodal training datasets for large language models, especially for supervised fine-tuning (SFT) or preference alignment (DPO).

Not ideal if you are looking for a simple data labeling tool without the need for advanced AI-driven data generation or evaluation capabilities.

AI-training-data large-language-models multimodal-AI data-curation model-evaluation
No Package No Dependents
Maintenance 6 / 25
Adoption 10 / 25
Maturity 15 / 25
Community 15 / 25

How are scores calculated?

Stars

270

Forks

27

Language

TypeScript

License

MIT

Last pushed

Dec 13, 2025

Commits (30d)

0

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