Datasets:
Tasks:
Text Classification
Sub-tasks:
fact-checking
Languages:
Indonesian
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
License:
| annotations_creators: | |
| - expert-generated | |
| language_creators: | |
| - expert-generated | |
| language: | |
| - id | |
| license: | |
| - cc-by-4.0 | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 10K<n<100K | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - fact-checking | |
| pretty_name: Indonesian Clickbait Headlines | |
| dataset_info: | |
| - config_name: annotated | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: title | |
| dtype: string | |
| - name: label | |
| dtype: | |
| class_label: | |
| names: | |
| '0': non-clickbait | |
| '1': clickbait | |
| splits: | |
| - name: train | |
| num_bytes: 1268698 | |
| num_examples: 15000 | |
| download_size: 150769127 | |
| dataset_size: 1268698 | |
| - config_name: raw | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: title | |
| dtype: string | |
| - name: source | |
| dtype: string | |
| - name: date | |
| dtype: string | |
| - name: category | |
| dtype: string | |
| - name: sub-category | |
| dtype: string | |
| - name: content | |
| dtype: string | |
| - name: url | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 81669386 | |
| num_examples: 38655 | |
| download_size: 150769127 | |
| dataset_size: 81669386 | |
| # Dataset Card for Indonesian Clickbait Headlines | |
| ## 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:** https://data.mendeley.com/datasets/k42j7x2kpn/1 | |
| - **Repository:** | |
| - **Paper:** [CLICK-ID: A Novel Dataset for Indonesian Clickbait Headlines](https://www.sciencedirect.com/science/article/pii/S2352340920311252#!) | |
| - **Leaderboard:** | |
| - **Point of Contact:** [Andika William](mailto:andika.william@mail.ugm.ac.id), [Yunita Sari](mailto:yunita.sari@ugm.ac.id) | |
| ### Dataset Summary | |
| The CLICK-ID dataset is a collection of Indonesian news headlines that was collected from 12 local online news | |
| publishers; detikNews, Fimela, Kapanlagi, Kompas, Liputan6, Okezone, Posmetro-Medan, Republika, Sindonews, Tempo, | |
| Tribunnews, and Wowkeren. This dataset is comprised of mainly two parts; (i) 46,119 raw article data, and (ii) | |
| 15,000 clickbait annotated sample headlines. Annotation was conducted with 3 annotator examining each headline. | |
| Judgment were based only on the headline. The majority then is considered as the ground truth. In the annotated | |
| sample, our annotation shows 6,290 clickbait and 8,710 non-clickbait. | |
| ### Supported Tasks and Leaderboards | |
| [More Information Needed] | |
| ### Languages | |
| Indonesian | |
| ## Dataset Structure | |
| ### Data Instances | |
| An example of the annotated article: | |
| ``` | |
| { | |
| 'id': '100', | |
| 'label': 1, | |
| 'title': "SAH! Ini Daftar Nama Menteri Kabinet Jokowi - Ma'ruf Amin" | |
| } | |
| > | |
| ``` | |
| ### Data Fields | |
| #### Annotated | |
| - `id`: id of the sample | |
| - `title`: the title of the news article | |
| - `label`: the label of the article, either non-clickbait or clickbait | |
| #### Raw | |
| - `id`: id of the sample | |
| - `title`: the title of the news article | |
| - `source`: the name of the publisher/newspaper | |
| - `date`: date | |
| - `category`: the category of the article | |
| - `sub-category`: the sub category of the article | |
| - `content`: the content of the article | |
| - `url`: the url of the article | |
| ### Data Splits | |
| The dataset contains train set. | |
| ## 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 | |
| [More Information Needed] | |
| ### Licensing Information | |
| Creative Commons Attribution 4.0 International license | |
| ### Citation Information | |
| ``` | |
| @article{WILLIAM2020106231, | |
| title = "CLICK-ID: A novel dataset for Indonesian clickbait headlines", | |
| journal = "Data in Brief", | |
| volume = "32", | |
| pages = "106231", | |
| year = "2020", | |
| issn = "2352-3409", | |
| doi = "https://doi.org/10.1016/j.dib.2020.106231", | |
| url = "http://www.sciencedirect.com/science/article/pii/S2352340920311252", | |
| author = "Andika William and Yunita Sari", | |
| keywords = "Indonesian, Natural Language Processing, News articles, Clickbait, Text-classification", | |
| abstract = "News analysis is a popular task in Natural Language Processing (NLP). In particular, the problem of clickbait in news analysis has gained attention in recent years [1, 2]. However, the majority of the tasks has been focused on English news, in which there is already a rich representative resource. For other languages, such as Indonesian, there is still a lack of resource for clickbait tasks. Therefore, we introduce the CLICK-ID dataset of Indonesian news headlines extracted from 12 Indonesian online news publishers. It is comprised of 15,000 annotated headlines with clickbait and non-clickbait labels. Using the CLICK-ID dataset, we then developed an Indonesian clickbait classification model achieving favourable performance. We believe that this corpus will be useful for replicable experiments in clickbait detection or other experiments in NLP areas." | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@cahya-wirawan](https://github.com/cahya-wirawan) for adding this dataset. | |