You need to agree to share your Hugging Face information to access this dataset
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
You agree to not use the dataset to conduct experiments that cause harm to human subjects.
Log in or Sign Up to review the conditions and access this dataset content.
Saraiki Named Entity Recognition Dataset
Named Entity Recognition data in strict Jataki Saraiki for low-resource NLP and information extraction.
About Saraiki
Saraiki (سرائیکی) is an Indo-Aryan language spoken primarily in Pakistan, particularly across southern Punjab and neighboring regions. It has a rich linguistic, literary, and cultural heritage, with its own vocabulary, grammatical structures, and regional varieties.
Despite its significant speaker community, Saraiki remains a low-resource language in Natural Language Processing (NLP), with relatively limited digital datasets, language models, and computational resources compared with widely supported languages.
About This Dataset
The Saraiki Named Entity Recognition Dataset is a curated dataset for identifying and classifying named entities in strict Jataki Saraiki text.
It is designed to support the development and evaluation of Saraiki NER models, information extraction systems, token classification models, and language technologies.
Intended Uses
This dataset can support:
- Saraiki Named Entity Recognition (NER)
- Token classification
- Information extraction
- Entity-aware search and retrieval
- Knowledge graph construction
- NLP model training and fine-tuning
- LLM training and fine-tuning
- Low-resource language research
- Saraiki language technology
- Academic and educational projects
Why This Dataset Matters
Named Entity Recognition is an important NLP task for extracting structured information from unstructured text. For low-resource languages such as Saraiki, the availability of annotated NER data remains limited.
This dataset aims to contribute to the development of Saraiki NLP and information extraction technologies by providing annotated resources for named entity recognition research and model development.
Dataset Structure
The dataset contains Saraiki text annotated with named entity labels. Each example consists of text and corresponding entity annotations for training and evaluating NER models.
Access Requirements
Access to this dataset is gated. Users are required to provide information about their intended use and agree to the applicable usage conditions before accessing the dataset.
By requesting access, users agree not to use the dataset to conduct experiments that cause harm to human subjects and agree to use the dataset for non-commercial purposes only.
Citation
If you use this dataset in research, publications, models, or publicly released projects, please cite and acknowledge the dataset:
@misc{raza2026saraikiner,
title = {Saraiki NER Dataset},
author = {Raza, Muhammad Farjad Ali},
year = {2026},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/datasets/themohal/saraiki-ner-dataset}}
}
Disclaimer
This dataset is provided for research and educational purposes. Users are responsible for ensuring that their use of the dataset complies with applicable laws, ethical requirements, and the dataset's license and access conditions.
- Downloads last month
- 246