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Dataset Card for Dengue Dataset in Filipino
Dataset Summary
Benchmark dataset for low-resource multiclass classification, with 4,015 training, 500 testing, and 500 validation examples, each labeled as part of five classes. Each sample can be a part of multiple classes. Collected as tweets.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
The dataset is primarily in Filipino, with the addition of some English words commonly used in Filipino vernacular.
Dataset Structure
Data Instances
Sample data:
{
"text": "Tapos ang dami pang lamok.",
"absent": "0",
"dengue": "0",
"health": "0",
"mosquito": "1",
"sick": "0"
}
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
Licensing Information
[More Information Needed]
Citation Information
@INPROCEEDINGS{8459963, author={E. D. {Livelo} and C. {Cheng}}, booktitle={2018 IEEE International Conference on Agents (ICA)}, title={Intelligent Dengue Infoveillance Using Gated Recurrent Neural Learning and Cross-Label Frequencies}, year={2018}, volume={}, number={}, pages={2-7}, doi={10.1109/AGENTS.2018.8459963}} }
Contributions
Thanks to @anaerobeth for adding this dataset.
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