Aaqqid/OCR-Synthetic-Multilingual-v1
OCR-Synthetic-Multilingual-v1 Dataset Description Large-scale synthetically generated OCR training dataset for multilingual text detection and recognition. The data was produced using a heavily modified and extended version of SynthDoG (Synthetic Document Generator), originally introduced in the Donut project by Kim et al. This dataset was used to train Nemotron OCR v2, a state-of-the-art multilingual OCR model that is part of the NVIDIA NeMo Retriever collection.… See the full description on the dataset page: https://huggingface.co/datasets/Aaqqid/OCR-Synthetic-Multilingual-v1.
| Author / organization | Aaqqid |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 268 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 24 April 2026 |
| Last updated at source | 24 April 2026 |
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- 16 Oct 2026 Description: OCR-Synthetic-Multilingual-v1 Dataset Description Large-scale synthetically generated OCR training dataset for multilingual text detection and recognition. The data was produced using a heavily modified and extended version of SynthDoG (Syn → OCR-Synthetic-Multilingual-v1 Dataset Description Large-scale synthetically generated OCR training dataset for multilingual text detection and recognition. The data was produced using a heavily modified and extended version of SynthDoG (Syn
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