DipeshChaudhary/nepali-gector-style-token-level-tag-for-ged

Nepali GEC (gector style) Token Tagging Dataset This is a processed version of the sumitaryal/nepali_grammatical_error_correction dataset, designed for training GEC-ToR-style sequence tagging models. This dataset has been processed with a robust, multi-pass, content-aware alignment algorithm to generate high-fidelity correction tags, including complex and adjacent SWAP operations. Total Examples: 16,260,992 Training: 13,008,711 Validation: 2,439,231 test: 813,050… See the full description on the dataset page: https://huggingface.co/datasets/DipeshChaudhary/nepali-gector-style-token-level-tag-f

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