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mnezama MatteoOmenetti commited on
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Duplicate from docling-project/SynthCodeNet

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Co-authored-by: Matteo Omenetti <MatteoOmenetti@users.noreply.huggingface.co>

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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.gz filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.lz4 filter=lfs diff=lfs merge=lfs -text
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+ *.mds filter=lfs diff=lfs merge=lfs -text
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+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ *.parquet filter=lfs diff=lfs merge=lfs -text
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+ *.pb filter=lfs diff=lfs merge=lfs -text
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+ *.pickle filter=lfs diff=lfs merge=lfs -text
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+ *.pkl filter=lfs diff=lfs merge=lfs -text
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+ *.pt filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *.zip filter=lfs diff=lfs merge=lfs -text
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+ *.zst filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ *.pcm filter=lfs diff=lfs merge=lfs -text
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+ *.sam filter=lfs diff=lfs merge=lfs -text
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+ *.raw filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - compressed
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+ *.aac filter=lfs diff=lfs merge=lfs -text
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+ *.flac filter=lfs diff=lfs merge=lfs -text
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+ *.mp3 filter=lfs diff=lfs merge=lfs -text
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+ *.ogg filter=lfs diff=lfs merge=lfs -text
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+ *.wav filter=lfs diff=lfs merge=lfs -text
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+ # Image files - uncompressed
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+ *.bmp filter=lfs diff=lfs merge=lfs -text
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+ *.gif filter=lfs diff=lfs merge=lfs -text
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+ *.png filter=lfs diff=lfs merge=lfs -text
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+ *.tiff filter=lfs diff=lfs merge=lfs -text
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+ # Image files - compressed
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+ *.jpg filter=lfs diff=lfs merge=lfs -text
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+ *.jpeg filter=lfs diff=lfs merge=lfs -text
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+ *.webp filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ license: cdla-permissive-2.0
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+ task_categories:
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+ - image-text-to-text
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+ tags:
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+ - code
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+ - ocr
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+ size_categories:
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+ - 1M<n<10M
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+ pretty_name: SynthCodeNet
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+ ---
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+ # SynthCodeNet
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+ <div style="display: flex; justify-content: center; align-items: center;">
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/663e1254887b6f5645a0399f/whc8Bpip5P8uuzZOS0MQJ.png" alt="Code Example" style="width: 500px; height: auto">
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+ </div>
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+
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+ **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.
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+
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+ ---
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+
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+ ## Dataset Statistics
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+
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+ * **Total samples**: 9,334,257
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+
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+ * **Training set**: 8,400,838
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+ * **Validation set**: 466,703
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+ * **Test set**: 466,716
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+
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+ * **Modalities**: Image, Text
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+
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+ * **Image Generation**: Synthetic (LaTeX, Pygments)
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+
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+ ### Programming Languages & Sample Counts
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+
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+ | Language | Samples | Language | Samples | Language | Samples |
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+ | -------- | ------- | ---------- | ------- | ----------- | --------- |
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+ | Ada | 20,094 | Dart | 20,415 | Matlab | 1,170 |
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+ | Awk | 22,334 | Dockerfile | 99,459 | MoonScript | 6,237 |
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+ | Bash | 98,950 | Elixir | 20,387 | Nim | 37,236 |
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+ | C | 599,096 | Erlang | 20,039 | OCaml | 32,297 |
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+ | C# | 303,720 | FORTRAN | 34,023 | ObjectiveC | 158,398 |
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+ | C++ | 698,870 | Forth | 5,548 | Octave | 2,537 |
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+ | CMake | 19,910 | Go | 333,722 | PHP | 249,566 |
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+ | COBOL | 5,153 | HTML | 245,228 | Pascal | 28,254 |
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+ | CSS | 236,596 | Haskell | 39,848 | Perl | 33,938 |
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+ | Ceylon | 8,369 | Haxe | 20,070 | Prolog | 2,058 |
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+ | Clojure | 20,765 | Java | 698,421 | Python | 1,797,063 |
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+ | Crystal | 24,720 | JavaScript | 530,899 | Racket | 4,340 |
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+ | Cuda | 142,344 | Julia | 29,681 | Ruby | 348,976 |
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+ | Cython | 22,136 | Kotlin | 292,986 | Rust | 344,491 |
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+ | D | 20,338 | Lisp | 29,749 | SML | 19,333 |
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+ | Lua | 25,328 | SQL | 493,412 | YAML | 249,011 |
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+ | Scala | 273,825 | Scheme | 23,242 | VisualBasic | 13,908 |
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+ | Swift | 25,374 | TypeScript | 255,475 | XML | 246,209 |
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+ | bc | 249 | dc | 1,713 | | |
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+
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+ ---
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+
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+ ## Data Format
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+
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+ Each dataset entry is structured as follows:
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+
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+ ```json
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+ {
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+ "images": [PIL Image],
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+ "texts": [
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+ {
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+ "assistant": "<loc_x0><loc_y0><loc_x1><loc_y1><_Language_>CODE_SNIPPET</code>",
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+ "source": "SynthCodeNetNoImageTag",
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+ "user": "<code>"
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+ }
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+ ]
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+ }
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+ ```
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+
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+ ---
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+
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+ ## Intended Use
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+
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+ * Training multimodal models for **document understanding**, specifically:
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+
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+ * Code snippet extraction and transcription
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+
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+ ---
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+
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+ ## Citation
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+
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+ If you use SynthCodeNet, please cite:
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+
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+ ```bibtex
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+ @article{nassar2025smoldocling,
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+ title={SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion},
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+ author={Nassar, Ahmed and Marafioti, Andres and Omenetti, Matteo and Lysak, Maksym and Livathinos, Nikolaos and Auer, Christoph and Morin, Lucas and de Lima, Rafael Teixeira and Kim, Yusik and Gurbuz, A Said and others},
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+ journal={arXiv preprint arXiv:2503.11576},
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+ year={2025}
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+ }
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+ ```
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