Datasets:
The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider
removing the
loading script
and relying on
automated data support
(you can use
convert_to_parquet
from the datasets
library). If this is not possible, please
open a discussion
for direct help.
Dataset Card for id_puisi
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 scrapingtitle
: the title extracted from the raw text using regexauthor
: the author extracted from the raw text using regexpuisi
: 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 for adding this dataset.
- Downloads last month
- 78