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Update files from the datasets library (from 1.2.0)

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Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

Files changed (5) hide show
  1. .gitattributes +27 -0
  2. README.md +195 -0
  3. dataset_infos.json +1 -0
  4. dummy/0.0.0/dummy_data.zip +3 -0
  5. id_puisi.py +74 -0
.gitattributes ADDED
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.bin.* filter=lfs diff=lfs merge=lfs -text
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+ *.bz2 filter=lfs diff=lfs merge=lfs -text
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+ *.ftz filter=lfs diff=lfs merge=lfs -text
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+ *.gz filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ *.msgpack filter=lfs diff=lfs merge=lfs -text
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+ *.onnx filter=lfs diff=lfs merge=lfs -text
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+ *.ot filter=lfs diff=lfs merge=lfs -text
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+ *.parquet filter=lfs diff=lfs merge=lfs -text
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+ *.pb filter=lfs diff=lfs merge=lfs -text
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+ *.pt filter=lfs diff=lfs merge=lfs -text
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+ *.pth filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *.tgz filter=lfs diff=lfs merge=lfs -text
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+ *.xz filter=lfs diff=lfs merge=lfs -text
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+ *.zip filter=lfs diff=lfs merge=lfs -text
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+ *.zstandard filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ annotations_creators:
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+ - no-annotation
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+ language_creators:
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+ - found
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+ languages:
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+ - id
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+ licenses:
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+ - mit
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+ multilinguality:
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+ - monolingual
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+ size_categories:
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+ - 1K<n<10K
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - conditional-text-generation
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+ - sequence-modeling
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+ task_ids:
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+ - language-modeling
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+ - other-stuctured-to-text
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+ ---
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+
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+ # Dataset Card for id_puisi
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+
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+ ## Table of Contents
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+ - [Dataset Card for id_puisi](#dataset-card-for-id_puisi)
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+ - [Table of Contents](#table-of-contents)
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-fields)
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+ - [Data Splits](#data-splits)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
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+ - [Who are the source language producers?](#who-are-the-source-language-producers)
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+ - [Annotations](#annotations)
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+ - [Annotation process](#annotation-process)
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+ - [Who are the annotators?](#who-are-the-annotators)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** [puisi-pantun-generator](https://github.com/ilhamfp/puisi-pantun-generator)
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+ - **Repository:** [puisi-pantun-generator](https://github.com/ilhamfp/puisi-pantun-generator)
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+ - **Paper:** [N/A]
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+ - **Leaderboard:** [N/A]
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+ - **Point of Contact:** [Ilham Firdausi Putra](ilhamfputra31@gmail.com)
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+
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+ ### Dataset Summary
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+
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+ Puisi (poem) is an Indonesian poetic form. The dataset contains 7223 Indonesian puisi with its title and author.
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ [More Information Needed]
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+
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+ ### Languages
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+
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+ Indonesian
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+ ```
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+ {
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+ 'puisi_with_header': 'TEPERANGKAP
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+ Oleh Mangku Langit Jingga
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+
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+ Mungkin kau membiarkan aku
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+ Membiarkan perasaan ini larut
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+ Memberi ruang jiwaku hampa
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+ Agar tetap terbiasa nikmati
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+
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+ Perangkap yang kau buat
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+ Perisai yang kau banggakan
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+ Takkan jadi tameng bagimu
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+ Aku mengerti betapa hebatnya
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+
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+ Perangkap mu hei sang dewi
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+ Ku akan terus merasa terbiasa
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+ Dengan pesona indahmu
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+ Ku masih akan nikmati hadirmu
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+
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+ Berjalanlah pada hati yang sama
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+ Satu hati denganku
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+ Walau ku terperangkap
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+ Namunku nikmati dan jalani',
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+
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+ 'title': 'TEPERANGKAP',
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+
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+ 'author': 'Oleh Mangku Langit Jingga',
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+
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+ 'puisi': 'Mungkin kau membiarkan aku
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+ Membiarkan perasaan ini larut
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+ Memberi ruang jiwaku hampa
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+ Agar tetap terbiasa nikmati
111
+
112
+ Perangkap yang kau buat
113
+ Perisai yang kau banggakan
114
+ Takkan jadi tameng bagimu
115
+ Aku mengerti betapa hebatnya
116
+
117
+ Perangkap mu hei sang dewi
118
+ Ku akan terus merasa terbiasa
119
+ Dengan pesona indahmu
120
+ Ku masih akan nikmati hadirmu
121
+
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+ Berjalanlah pada hati yang sama
123
+ Satu hati denganku
124
+ Walau ku terperangkap
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+ Namunku nikmati dan jalani',
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+ }
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+ ```
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+ ### Data Fields
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+
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+ - `puisi_with_header`: the raw text from scraping
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+ - `title`: the title extracted from the raw text using regex
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+ - `author`: the author extracted from the raw text using regex
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+ - `puisi`: the poem with title and author extracted out using regex
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+
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+ ### Data Splits
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+
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+ The dataset contains only a train set.
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ The dataset was initially collected as an experiment to generate an Indonesian poem using GPT-2.
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
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+ 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.
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+
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+ #### Who are the source language producers?
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+
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+ The poems were generated by humans. The users of the original blog voluntarily submit their original poems to get published on the blog.
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ [N/A]
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+
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+ #### Who are the annotators?
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+
163
+ [N/A]
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+
165
+ ### Personal and Sensitive Information
166
+
167
+ [More Information Needed]
168
+
169
+ ## Considerations for Using the Data
170
+
171
+ ### Social Impact of Dataset
172
+
173
+ [More Information Needed]
174
+
175
+ ### Discussion of Biases
176
+
177
+ [More Information Needed]
178
+
179
+ ### Other Known Limitations
180
+
181
+ 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.
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ Ilham Firdausi Putra
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+
189
+ ### Licensing Information
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+
191
+ MIT License
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+
193
+ ### Citation Information
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+
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+ [N/A]
dataset_infos.json ADDED
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+ {"default": {"description": "Puisi (poem) is an Indonesian poetic form. The dataset contains 7223 Indonesian puisi with its title and author.\n", "citation": "", "homepage": "https://github.com/ilhamfp/puisi-pantun-generator", "license": "", "features": {"title": {"dtype": "string", "id": null, "_type": "Value"}, "author": {"dtype": "string", "id": null, "_type": "Value"}, "puisi": {"dtype": "string", "id": null, "_type": "Value"}, "puisi_with_header": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "id_puisi", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 10613475, "num_examples": 7223, "dataset_name": "id_puisi"}}, "download_checksums": {"https://raw.githubusercontent.com/ilhamfp/puisi-pantun-generator/main/data/puisi.csv": {"num_bytes": 10558108, "checksum": "c9f9297063468d256fafddb673d1eef81fa625d6edb7325bfec0b16ad0d193c9"}}, "download_size": 10558108, "post_processing_size": null, "dataset_size": 10613475, "size_in_bytes": 21171583}}
dummy/0.0.0/dummy_data.zip ADDED
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+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ab2e606d06932ea1bdc23028335673a8d06eef6dd0b5833169b37344c44b9699
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+ size 870
id_puisi.py ADDED
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+ # coding=utf-8
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+ # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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+ #
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+ # Licensed under the Apache License, Version 2.0 (the "License");
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+ # you may not use this file except in compliance with the License.
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+ # You may obtain a copy of the License at
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+ #
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+ # http://www.apache.org/licenses/LICENSE-2.0
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+ #
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+ # Unless required by applicable law or agreed to in writing, software
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+ # distributed under the License is distributed on an "AS IS" BASIS,
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+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ # See the License for the specific language governing permissions and
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+ # limitations under the License.
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+
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+ # Lint as: python3
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+ """ID Puisi: A Dataset for Indonesian Poem"""
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+
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+ from __future__ import absolute_import, division, print_function
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+
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+ import csv
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+
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+ import datasets
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+
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+
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+ _DESCRIPTION = """\
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+ Puisi (poem) is an Indonesian poetic form. The dataset contains 7223 Indonesian puisi with its title and author.
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+ """
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+
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+ _TRAIN_DOWNLOAD_URL = "https://raw.githubusercontent.com/ilhamfp/puisi-pantun-generator/main/data/puisi.csv"
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+
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+
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+ class IDPuisi(datasets.GeneratorBasedBuilder):
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+ """ID Puisi: A Datases for Indonesian Poem"""
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+
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+ def _info(self):
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+ return datasets.DatasetInfo(
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+ description=_DESCRIPTION,
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+ features=datasets.Features(
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+ {
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+ "title": datasets.Value("string"),
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+ "author": datasets.Value("string"),
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+ "puisi": datasets.Value("string"),
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+ "puisi_with_header": datasets.Value("string"),
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+ }
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+ ),
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+ homepage="https://github.com/ilhamfp/puisi-pantun-generator",
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+ )
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+
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+ def _split_generators(self, dl_manager):
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+ train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URL)
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+ return [
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+ datasets.SplitGenerator(
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+ name=datasets.Split.TRAIN,
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+ gen_kwargs={
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+ "filepath": train_path,
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+ },
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+ ),
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+ ]
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+
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+ def _generate_examples(self, filepath):
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+ """Generate ID Puisi examples."""
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+ with open(filepath, encoding="utf-8") as csv_file:
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+ csv_reader = csv.reader(
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+ csv_file,
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+ delimiter=",",
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+ quoting=csv.QUOTE_ALL,
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+ )
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+ for id_, row in enumerate(csv_reader):
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+ if id_ == 0:
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+ # Skip header
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+ continue
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+
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+ yield id_, {"puisi": row[0], "title": row[1], "author": row[2], "puisi_with_header": row[3]}