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README.md

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 license: cc-by-nc-4.0
 size_categories:
 - 1K<n<10K
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+---
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+This repository contains CebuaNER, the largest gold-standard datasets for named entities in Cebuano. This dataset is used for the [paper](https://arxiv.org/abs/2310.00679) `CebuaNER: A New Baseline Cebuano Named Entity Recognition Model` to be presented at PACLIC 2023, authored by Ma. Beatrice Emanuela N. Pilar, Ellyza Mari J. Papas, Mary Loise Buenaventura, Dane C. Dedoroy, Myron Montefalcon, Jay Rhald Padilla, Lany Maceda, Mideth Abisado, and Joseph Imperial.
+
+## Data
+The dataset contribution of this study is a compilation of Cebuano news articles from two local news stations, Yes the Best Dumaguete and
+the Filipinas Bisaya. To further increase the data count, we also incorporated another publicly available dataset from [Sunstar Cebu](https://github.com/rjrequina/Cebuano-POS-Tagger/blob/master/eval/data/scraped/news-raw.txt) pre-collected by independent researcher Arjemariel Requina. The total accumulated and filtered size of the Cebuano dataset is 4258 articles. All the dataset used for this study is purely for non-commercial research purposes and under Fair Use.
+
+| Source                  | Original      | Cleaned |  
+| ------------------------| ------------- | ------- |
+| Yes the Best Dumaguete  | 1484          | 781     |
+| Filipinas Bisaya        | 769           | 377     |
+| Sunstar                 | 3100          | 3100    |
+
+
+## Note on Data Cataloging
+Please send an email before submitting this repository to any data cataloging, data aggregation, and benchmarking projects/initiatives. The proponents of the paper of this dataset would like to be acknowledged appropriately or involved in co-authorship.
+
+
+## Contact
+For questions, you may reach the corresponding author of the study at:
+
+**Joseph Marvin Imperial**\
+Faculty Member, Department of Computer Science\
+Lab Head, NU Human Language Technology Lab\
+jrimperial@national-u.edu.ph