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Datasets:
rustensai
/
russian-handwriting-ocr

Tasks:
Image-to-Text
Modalities:
Image
Text
Formats:
parquet
Languages:
Russian
Size:
10K - 100K
Tags:
handwriting-recognition
russian
ocr
qwen3-vl
Libraries:
Datasets
Dask
Polars
Dataset card Data Studio Files
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rustensai Limerencii commited on
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Duplicate from Limerencii/russian-handwriting-ocr

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Co-authored-by: Max Still <Limerencii@users.noreply.huggingface.co>

Files changed (36) hide show
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  2. README.md +116 -0
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.bz2 filter=lfs diff=lfs merge=lfs -text
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+ *.ftz 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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+ *.npy filter=lfs diff=lfs merge=lfs -text
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+ *.onnx filter=lfs diff=lfs merge=lfs -text
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+ *.ot 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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+ *.pth 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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+ *.tgz 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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+ *.raw filter=lfs diff=lfs merge=lfs -text
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+ ---
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+ language:
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+ - ru
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+ task_categories:
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+ - image-to-text
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+ tags:
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+ - handwriting-recognition
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+ - russian
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+ - ocr
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+ - qwen3-vl
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+ size_categories:
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+ - 10K<n<100K
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+ ---
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+
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+ # Russian Handwritten Text Recognition Dataset
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+
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+ Датасет для распознавания русских рукописных текстов (сочинений).
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+
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+ ## Описание
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+
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+ Этот датасет содержит изображения рукописных русских текстов с их расшифровкой.
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+ Предназначен для дообучения vision-language моделей (например, Qwen3 VL) на задачу OCR русского рукописного текста.
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+
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+ ## Статистика
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+
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+ - **Всего образцов**: 13050
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+ - **Train**: 11745
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+ - **Validation**: 1305
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+ - **Уникальных текстов**: 575
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+ - **Средняя длина текста**: 3790 символов
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+
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+ ## Типы изображений
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+
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+ Датасет включает три типа изображений одних и тех же текстов:
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+ - **Сканы** (scan): Сканированные изображения
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+ - **ФотоТемное** (dark): Фотографии в темном освещении
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+ - **ФотоСветлое** (light): Фотографии в светлом освещении
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+
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+ ## Формат данных
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+
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+ Каждый пример содержит:
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+ ```python
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+ {
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+ "image": PIL.Image, # Изображение
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+ "messages": [ # Формат conversational
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+ {
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+ "role": "user",
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+ "content": [
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+ {"type": "text", "text": "Распознай текст с изображения."},
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+ {"type": "image"}
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+ ]
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+ },
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+ {
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+ "role": "assistant",
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+ "content": [
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+ {"type": "text", "text": "<transcribed_text>"}
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+ ]
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+ }
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+ ],
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+ "image_type": "scan" | "dark" | "light",
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+ "source_folder": str,
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+ "dataset_name": "dataset1" | "dataset2"
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+ }
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+ ```
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+
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+ ## Использование
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ # Загрузка датасета
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+ dataset = load_dataset("YOUR_USERNAME/russian-handwriting-ocr")
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+
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+ # Пример использования
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+ sample = dataset['train'][0]
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+ image = sample['image']
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+ messages = sample['messages']
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+ ```
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+
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+ ## Обучение с Unsloth
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+
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+ Этот датасет готов для использования с Unsloth для дообучения Qwen3 VL:
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+
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+ ```python
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+ from unsloth import FastVisionModel
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+ from unsloth.trainer import UnslothVisionDataCollator
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+ from trl import SFTTrainer, SFTConfig
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+
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+ # Загрузка модели
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+ model, tokenizer = FastVisionModel.from_pretrained(
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+ "unsloth/Qwen3-VL-8B-Instruct",
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+ load_in_4bit=True,
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+ )
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+
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+ # Загрузка датасета
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+ from datasets import load_dataset
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+ dataset = load_dataset("YOUR_USERNAME/russian-handwriting-ocr")
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+
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+ # Обучение
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+ trainer = SFTTrainer(
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+ model=model,
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+ tokenizer=tokenizer,
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+ data_collator=UnslothVisionDataCollator(model, tokenizer),
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+ train_dataset=dataset['train'],
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+ # ... другие параметры
106
+ )
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+ trainer.train()
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+ ```
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+
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+ ## Лицензия
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+
112
+ [Укажите вашу лицензию]
113
+
114
+ ## Цитирование
115
+
116
+ Если вы используете этот датасет, пожалуйста, укажите ссылку на него.
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