High-quality multimodal data acquisition program
For the multimodal training data quality problem, ShareGPT-4o-Image provides the following solutions:
- Quality data generated using GPT-4o: All samples in the dataset are from GPT-4o to ensure generation quality
- Diverse sample coverage: 91K samples contain both text-to-image and graphic-text combinations
- Easy Access: Direct download of 20.7MB dataset in Parquet format via Hugging Face
- Normalized processing: Data cleaned and structured for direct use in training
- Extended Methods: Combine other open source datasets for hybrid training to enhance model robustness
Note: It is recommended to analyze the data distribution and reasonably divide the training/validation set when using it for the first time.
This answer comes from the articleShareGPT-4o-Image: an open source multimodal image generation datasetThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of insufficient data quality in multimodal training?
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