OpenPecha's benchmark dataset evaluates Tibetan optical character recognition models. It includes diverse scripts, writing styles, and print methods to enable testing across multiple domains. The dataset was last updated on October 30, 2025.
Use Cases
- Benchmark OCR model performance based on diverse Tibetan scripts and styles.
- Compare OCR accuracy across different print methods mentioned in the description.
- Train OCR models using ground truth text paired with image URLs.
Strengths
- Includes diverse scripts, writing styles, and print methods for comprehensive testing.
- Provides ground truth text labels and image URLs for each sample.
Limitations
- Row count and dataset size are unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
Provenance
- Source
- openpecha
- Freshness
- Last updated 2025-10-30 04:30:53