Roundtripocr Nepali is a text dataset for post-OCR error correction in the Nepali language, generated using the RoundTripOCR technique. The dataset, created by cfilt, includes training, validation, and test splits for machine learning tasks.
Use Cases
- Train a sequence-to-sequence model for Nepali OCR error correction using the provided text pairs.
- Benchmark OCR post-processing algorithms on Nepali language text data.
- Analyze common error patterns in OCR-generated Nepali text to improve correction models.
Strengths
- Dataset includes separate training, validation, and test splits for model development and evaluation.
- Focuses on the under-resourced Nepali language, addressing a specific need in NLP.
Limitations
- The dataset size and row count are unknown, making it difficult to assess scale for training large models.
- Specific column structure and data formats are not documented, requiring investigation before use.
Provenance
- Source
- Hugging Face, from author cfilt.
- Collection Method
- Generated using the RoundTripOCR technique.
- Time Range
- null
- Freshness
- Last updated on December 8, 2024.
- Geography
- Nepali language focus.