Update files from the datasets library (from 1.2.0)

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

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README.md

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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:
+- conditional-text-generation
+- sequence-modeling
+task_ids:
+- language-modeling
+- other-stuctured-to-text
+---
+
+# Dataset Card for id_puisi
+
+## Table of Contents
+- [Dataset Card for id_puisi](#dataset-card-for-id_puisi)
+  - [Table of Contents](#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)
+      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
+      - [Who are the source language producers?](#who-are-the-source-language-producers)
+    - [Annotations](#annotations)
+      - [Annotation process](#annotation-process)
+      - [Who are the annotators?](#who-are-the-annotators)
+    - [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)
+
+## 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]([email protected])
+
+### 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]

dataset_infos.json

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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

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ab2e606d06932ea1bdc23028335673a8d06eef6dd0b5833169b37344c44b9699
+size 870

id_puisi.py

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+# coding=utf-8
+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Lint as: python3
+"""ID Puisi: A Dataset for Indonesian Poem"""
+
+from __future__ import absolute_import, division, print_function
+
+import csv
+
+import datasets
+
+
+_DESCRIPTION = """\
+Puisi (poem) is an Indonesian poetic form. The dataset contains 7223 Indonesian puisi with its title and author.
+"""
+
+_TRAIN_DOWNLOAD_URL = "https://raw.githubusercontent.com/ilhamfp/puisi-pantun-generator/main/data/puisi.csv"
+
+
+class IDPuisi(datasets.GeneratorBasedBuilder):
+    """ID Puisi: A Datases for Indonesian Poem"""
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "title": datasets.Value("string"),
+                    "author": datasets.Value("string"),
+                    "puisi": datasets.Value("string"),
+                    "puisi_with_header": datasets.Value("string"),
+                }
+            ),
+            homepage="https://github.com/ilhamfp/puisi-pantun-generator",
+        )
+
+    def _split_generators(self, dl_manager):
+        train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": train_path,
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Generate ID Puisi examples."""
+        with open(filepath, encoding="utf-8") as csv_file:
+            csv_reader = csv.reader(
+                csv_file,
+                delimiter=",",
+                quoting=csv.QUOTE_ALL,
+            )
+            for id_, row in enumerate(csv_reader):
+                if id_ == 0:
+                    # Skip header
+                    continue
+
+                yield id_, {"puisi": row[0], "title": row[1], "author": row[2], "puisi_with_header": row[3]}