Update files from the datasets library (from 1.3.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.3.0
README.md
CHANGED
|
@@ -44,6 +44,7 @@ task_ids:
|
|
| 44 |
- [Dataset Curators](#dataset-curators)
|
| 45 |
- [Licensing Information](#licensing-information)
|
| 46 |
- [Citation Information](#citation-information)
|
|
|
|
| 47 |
|
| 48 |
## Dataset Description
|
| 49 |
|
|
@@ -171,3 +172,7 @@ keywords = "Indonesian, Natural Language Processing, News articles, Clickbait, T
|
|
| 171 |
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."
|
| 172 |
}
|
| 173 |
```
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 44 |
- [Dataset Curators](#dataset-curators)
|
| 45 |
- [Licensing Information](#licensing-information)
|
| 46 |
- [Citation Information](#citation-information)
|
| 47 |
+
- [Contributions](#contributions)
|
| 48 |
|
| 49 |
## Dataset Description
|
| 50 |
|
|
|
|
| 172 |
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."
|
| 173 |
}
|
| 174 |
```
|
| 175 |
+
|
| 176 |
+
### Contributions
|
| 177 |
+
|
| 178 |
+
Thanks to [@cahya-wirawan](https://github.com/cahya-wirawan) for adding this dataset.
|