language:
- si
license: cc-by-4.0
task_categories:
- token-classification
tags:
- named-entity-recognition
- sinhala
- ner
- natural-language-processing
- bio-format
pretty_name: Sinhala NER 85k Dataset
dataset_info:
features:
- name: tokens
sequence: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B-PER
'2': I-PER
'3': B-LOC
'4': I-LOC
'5': B-ORG
'6': I-ORG
'7': B-Other
'8': I-Other
size_categories:
- 10K<n<100K
Sinhala Named Entity Recognition (NER) Dataset - 85,000 Annotations
Dataset Description
This is a high-quality Named Entity Recognition (NER) dataset for the Sinhala language, consisting of approximately 85,000 annotations. The dataset was manually curated and annotated by a team of three students to support NLP research for low-resource languages.
The data is sourced from diverse domains, including social media comments, news articles, and public domain texts, capturing the nuances of both formal and informal Sinhala usage.
Annotators & Contact
This dataset was manually annotated and curated by the following students. For inquiries regarding the dataset, please contact:
- [D.D.K.I Udayanga] - [udayangakasu696@gmail.com]
- [S.A.S Kavindya] - [shainikavindya2@gmail.com]
- [K.M.P.S Gunasekara] - [pasindusgkmp@gmail.com]
Dataset Structure
Format
The dataset follows the BIO (Beginning, Inside, Outside) format, commonly used for sequence labeling tasks. Each token is paired with a corresponding tag.
Label Statistics
The distribution of the entities in this dataset is as follows:
| Label | Count | Description |
|---|---|---|
| B-PER | 6,386 | Beginning of a Person's name |
| I-PER | 1,744 | Inside of a Person's name |
| B-LOC | 4,074 | Beginning of a Location |
| I-LOC | 253 | Inside of a Location |
| B-ORG | 3,762 | Beginning of an Organization |
| I-ORG | 707 | Inside of an Organization |
| B-Other | 51,048 | Beginning of other entities |
| I-Other | 190 | Inside of other entities |
| O | 18,489 | Outside (Non-entity words) |
Data Example
Each entry consists of a sentence split into tokens with their respective NER tags:
| Tag Number (ID) | Tag Label |
|---|---|
| 0 | O |
| 1 | B-PER |
| 2 | I-PER |
| 3 | B-LOC |
| 4 | I-LOC |
| 5 | B-ORG |
| 6 | I-ORG |
| 7 | B-Other |
| 8 | I-Other |
Intended Use
- Named Entity Recognition: Training models like BERT, XLM-R, or LSTM-CRF for Sinhala NER.
- Language Modeling: Fine-tuning language models for Sinhala.
- Academic Research: Studying the linguistic patterns of entities in South Asian languages.
Licensing Information
This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Users are free to share and adapt the material as long as appropriate credit is given to the original creators.