Synthetic OCR dataset of Russian technical drawings text generated with TextRecognitionDataGenerator. Texts include engineering terms, GOST standards, dimensions, specifications, and full Cyrillic alphabet coverage. The dataset was created by Mkz-Prog and last updated on Hugging Face in August 2025.
Use Cases
- Train OCR models to recognize Cyrillic characters based on the full alphabet coverage mentioned in the description.
- Evaluate model performance on technical terminology based on the inclusion of engineering terms.
- Fine-tune text recognition systems for standards documents based on the mention of GOST standards.
- Develop specialized OCR for technical drawings based on the inclusion of dimensions and specifications.
Strengths
- Synthetically generated, which likely allows for controlled variation and large-scale production.
- Focuses on a specific, challenging domain: Russian technical drawings with engineering terms and standards.
Limitations
- Row count, file formats, and column definitions are unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Hugging Face, author Mkz-Prog.
- Collection Method
- Synthetically generated with TextRecognitionDataGenerator.
- Time Range
- null
- Freshness
- Last updated 2025-08-07 07:31:52.
- Geography
- null