
# Dataset Card for Dengue Dataset in Filipino

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [Dengue Dataset in Filipino homepage](https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks)
- **Repository:** [Dengue Dataset in Filipino repository](https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks)
- **Paper:** [IEEE paper](https://ieeexplore.ieee.org/document/8459963)
- **Leaderboard:**
- **Point of Contact:** [Jan Christian Cruz](mailto:jan_christian_cruz@dlsu.edu.ph)

### 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

[Jan Christian Cruz](mailto:jan_christian_cruz@dlsu.edu.ph)

### 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](https://github.com/anaerobeth) for adding this dataset.
task_categories:text-classification task_ids:multi-class-classification annotations_creators:crowdsourced annotations_creators:machine-generated language_creators:crowdsourced multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:tl license:unknown region:us
{"annotations_creators": ["crowdsourced", "machine-generated"], "language_creators": ["crowdsourced"], "language": ["tl"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification"], "paperswithcode_id": "dengue", "pretty_name": "Dengue Dataset in Filipino", "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "absent", "dtype": {"class_label": {"names": {"0": "0", "1": "1"}}}}, {"name": "dengue", "dtype": {"class_label": {"names": {"0": "0", "1": "1"}}}}, {"name": "health", "dtype": {"class_label": {"names": {"0": "0", "1": "1"}}}}, {"name": "mosquito", "dtype": {"class_label": {"names": {"0": "0", "1": "1"}}}}, {"name": "sick", "dtype": {"class_label": {"names": {"0": "0", "1": "1"}}}}], "splits": [{"name": "train", "num_bytes": 428549, "num_examples": 4015}, {"name": "test", "num_bytes": 57364, "num_examples": 500}, {"name": "validation", "num_bytes": 54380, "num_examples": 500}], "download_size": 156014, "dataset_size": 540293}}
TAGS
#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-crowdsourced #annotations_creators-machine-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Tagalog #license-unknown #region-us 


# Dataset Card for Dengue Dataset in Filipino

## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions

## Dataset Description

- Homepage: Dengue Dataset in Filipino homepage
- Repository: Dengue Dataset in Filipino repository
- Paper: IEEE paper
- Leaderboard:
- Point of Contact: Jan Christian Cruz

### 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



### 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:


### Data Fields



### Data Splits



## Dataset Creation

### Curation Rationale



### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

#### Annotation process



#### Who are the annotators?



### Personal and Sensitive Information



## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators

Jan Christian Cruz

### Licensing 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.
# Dataset Card for Dengue Dataset in Filipino ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage: Dengue Dataset in Filipino homepage
- Repository: Dengue Dataset in Filipino repository
- Paper: IEEE paper
- Leaderboard:
- Point of Contact: Jan Christian Cruz ### 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 ### 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: ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators

Jan Christian Cruz ### Licensing 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.
TAGS
#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-crowdsourced #annotations_creators-machine-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Tagalog #license-unknown #region-us 
 # Dataset Card for Dengue Dataset in Filipino ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage: Dengue Dataset in Filipino homepage
- Repository: Dengue Dataset in Filipino repository
- Paper: IEEE paper
- Leaderboard:
- Point of Contact: Jan Christian Cruz ### 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 ### 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: ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators

Jan Christian Cruz ### Licensing 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.