Shorter credit for Marat Ionov's dataset
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README.md
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@@ -26,17 +26,11 @@ reader behind the Foundation's OCR app «Аԥхьаҩ».
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## Credits
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[*Abkhaz Mkhedruli Dataset for PaddleOCR*](https://huggingface.co/datasets/Grundik/abkhaz-mkhedruli-dataset-paddle)
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- **training** — 2,780 real line images from 12 of his source books (`ionov-train`, images under
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`data/ionov-mkhedruli/`, each used three times per epoch);
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- **testing** — the lines from his other 6 books, which are also books in our own test set, were
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kept out of training; they are the human-checked test in the results table below.
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His lines are the sharpest measure we have of how well the reader reads the Georgian-based alphabet.
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## Results
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## Credits
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Human-checked lines in the Georgian-based alphabet come from **Marat Ionov**'s
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[*Abkhaz Mkhedruli Dataset for PaddleOCR*](https://huggingface.co/datasets/Grundik/abkhaz-mkhedruli-dataset-paddle)
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(made with the Bagrat Shinkuba Foundation; CC BY-NC-SA 4.0). They are used in two ways: lines from
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12 of his source books are in the training set (`ionov-train`), and the lines from his other 6
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books were kept out of training and are the human-checked test in the results below.
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## Results
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