CoolFace
Datasetpublicgated

Omarrran/kashmiri_parallel_Diacratic_to_Non_diacratic_Text_dataset

THE DATASET CAN BE USED AS: 1. 🎯 Diacritics Restoration Models Train sequence-to-sequence models to automatically add diacritics to plain Kashmiri text. Input: کاشر زبان (plain text)Output: کٲشُر زَبان (with diacritics) Model architectures: Transformer-based (BERT, T5, mT5) LSTM/GRU sequence-to-sequence Character-level neural networks Training approach: # Example: Fine-tuning mT5 for diacritization from transformers import MT5ForConditionalGeneration model =… See the full description on the dataset page: https://huggingface.co/datasets/Omarrran/kashmiri_parallel_Diacratic_to_Non_diacratic_Text_dataset.

sourceHugging Faceccupdated 4mo agoView on Hugging Face
0likes8downloads
discussions and pull requests

Conversations for this repository live on Hugging Face.

CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.

Open discussions on Hugging Face
Omarrran/kashmiri_parallel_Diacratic_to_Non_diacratic_Text_dataset · CoolFace