mnezama/SynthCodeNet
SynthCodeNet SynthCodeNet is a multimodal dataset created for training the SmolDocling model. It consists of over 9.3 million synthetically generated image-text pairs, covering code snippets from 56 different programming languages. Text data was sourced from permissively licensed sources, while images were synthetically generated at 120 DPI using LaTeX and Pygments to ensure visual diversity. Dataset Statistics Total samples: 9,334,257 Training set: 8… See the full description on the dataset page: https://huggingface.co/datasets/mnezama/SynthCodeNet.
| Author / organization | mnezama |
|---|---|
| License (as declared) | cdla-permissive-2.0 |
| Downloads | 955 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 28 January 2026 |
| Last updated at source | 28 January 2026 |
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- 17 Oct 2026 Description: SynthCodeNet SynthCodeNet is a multimodal dataset created for training the SmolDocling model. It consists of over 9.3 million synthetically generated image-text pairs, covering code snippets from 56 different programming languages. Text dat → SynthCodeNet SynthCodeNet is a multimodal dataset created for training the SmolDocling model. It consists of over 9.3 million synthetically generated image-text pairs, covering code snippets from 56 different programming languages. Text dat
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