HuggingFaceM4/DoclingMatix
DoclingMatix DoclingMatix is a large-scale, multimodal dataset designed for training vision-language models in the domain of document intelligence. It was created specifically for training the SmolDocling model, an ultra-compact model for end-to-end document conversion. The dataset is constructed by augmenting Hugging Face's Docmatix. Each sample in Docmatix, which consists of a document image and a few questions and answers about it, has been transformed. The text field is now… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceM4/DoclingMatix.
| Author / organization | HuggingFaceM4 |
|---|---|
| License (as declared) | cdla-permissive-2.0 |
| Downloads | 3.4K (as reported by Hugging Face) |
| Likes | 57 |
| Created | 22 July 2025 |
| Last updated at source | 31 July 2025 |
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3,444 now (+53 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- docling-project/SmolDocling-256M-previewModel · used to train
- mradermacher/SmolDocling-256M-preview-GGUFModel · used to train
- mradermacher/SmolDocling-256M-preview-i1-GGUFModel · used to train
- Userb1az/granite-docling-258M-GGUFModel · used to train
- tevfikk/granite-docling-258M-bitnetModel · used to train
- Mungert/granite-docling-258M-GGUFModel · used to train
- docling-project/granite-docling-2stage-258mModel · used to train
- ibm-granite/granite-docling-258MModel · used to train
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- HuggingFaceM4/DocmatixDataset
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