Datasets:
Languages:
Indonesian
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
no-annotation
Source Datasets:
original
License:
File size: 4,766 Bytes
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---
annotations_creators:
- no-annotation
language_creators:
- found
languages:
- id
licenses:
- mit
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text2text-generation
- text-generation
- fill-mask
task_ids:
- text2text-generation-other-poem-generation
paperswithcode_id: null
pretty_name: Indonesian Puisi
---
# Dataset Card for id_puisi
## 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:** [puisi-pantun-generator](https://github.com/ilhamfp/puisi-pantun-generator)
- **Repository:** [puisi-pantun-generator](https://github.com/ilhamfp/puisi-pantun-generator)
- **Paper:** [N/A]
- **Leaderboard:** [N/A]
- **Point of Contact:** [Ilham Firdausi Putra](ilhamfputra31@gmail.com)
### Dataset Summary
Puisi (poem) is an Indonesian poetic form. The dataset contains 7223 Indonesian puisi with its title and author.
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
Indonesian
## Dataset Structure
### Data Instances
```
{
'puisi_with_header': 'TEPERANGKAP
Oleh Mangku Langit Jingga
Mungkin kau membiarkan aku
Membiarkan perasaan ini larut
Memberi ruang jiwaku hampa
Agar tetap terbiasa nikmati
Perangkap yang kau buat
Perisai yang kau banggakan
Takkan jadi tameng bagimu
Aku mengerti betapa hebatnya
Perangkap mu hei sang dewi
Ku akan terus merasa terbiasa
Dengan pesona indahmu
Ku masih akan nikmati hadirmu
Berjalanlah pada hati yang sama
Satu hati denganku
Walau ku terperangkap
Namunku nikmati dan jalani',
'title': 'TEPERANGKAP',
'author': 'Oleh Mangku Langit Jingga',
'puisi': 'Mungkin kau membiarkan aku
Membiarkan perasaan ini larut
Memberi ruang jiwaku hampa
Agar tetap terbiasa nikmati
Perangkap yang kau buat
Perisai yang kau banggakan
Takkan jadi tameng bagimu
Aku mengerti betapa hebatnya
Perangkap mu hei sang dewi
Ku akan terus merasa terbiasa
Dengan pesona indahmu
Ku masih akan nikmati hadirmu
Berjalanlah pada hati yang sama
Satu hati denganku
Walau ku terperangkap
Namunku nikmati dan jalani',
}
```
### Data Fields
- `puisi_with_header`: the raw text from scraping
- `title`: the title extracted from the raw text using regex
- `author`: the author extracted from the raw text using regex
- `puisi`: the poem with title and author extracted out using regex
### Data Splits
The dataset contains only a train set.
## Dataset Creation
### Curation Rationale
The dataset was initially collected as an experiment to generate an Indonesian poem using GPT-2.
### Source Data
#### Initial Data Collection and Normalization
The dataset was scraped using BeautifulSoup from lokerpuisi.web.id (the data no longer exist on the original blog). The title and author column was produced using regex match from puisi_with_header column.
#### Who are the source language producers?
The poems were generated by humans. The users of the original blog voluntarily submit their original poems to get published on the blog.
### Annotations
#### Annotation process
[N/A]
#### Who are the annotators?
[N/A]
### 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
The regex match used to extract the title & author from the raw text is not perfect. Some title & text is still failed to get extracted.
## Additional Information
### Dataset Curators
Ilham Firdausi Putra
### Licensing Information
MIT License
### Citation Information
[N/A]
### Contributions
Thanks to [@ilhamfp](https://github.com/ilhamfp) for adding this dataset. |