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README.md

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----
-annotations_creators:
-- no-annotation
-language:
-- id
-language_creators:
-- found
-license:
-- cc-by-4.0
-multilinguality:
-- monolingual
-pretty_name: poem_tweets
-size_categories:
-- 10K<n<100K
-source_datasets:
-- original
-tags:
-- poem
-- tweets
-- twitter
-- indonesian
-task_categories:
-- text-generation
-task_ids:
-- language-modeling
----
-
-# Dataset Card for Poem Tweets
-
-## Table of Contents
-- [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)
-  - [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:**
-- **Repository:**
-- **Paper:**
-- **Leaderboard:**
-- **Point of Contact:**
-
-### Dataset Summary
-
-The data are from Twitter. The purpose of this data is to create text generation model for short text and make sure they are all coherence and rhythmic
-
-### Supported Tasks and Leaderboards
-
-- Text Generation
-- Language Model
-
-### Languages
-
-Indonesian
-
-## Dataset Structure
-
-### Data Instances
-
-[More Information Needed]
-
-### Data Fields
-
-[More Information Needed]
-
-### Data Splits
-
-[More Information Needed]
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed]
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed]
-
-#### Who are the source language producers?
-
-[More Information Needed]
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-[More Information Needed]
-
-### 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
-
-[More Information Needed]
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed]
-
-### Licensing Information
-
-[More Information Needed]
-
-### Citation Information
-
-[More Information Needed]
-
-### Contributions
-
-Thanks to [@andreaschandra](https://github.com/andreaschandra) for adding this dataset.

default/poem-tweets-train.parquet

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poem-tweets.py

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-# 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.
-# TODO: Address all TODOs and remove all explanatory comments
-"""Poem Tweets: Indonesian Poem Tweets Generation Dataset."""
-
-
-import csv
-import json
-import os
-
-import datasets
-
-_DESCRIPTION = """\
-This dataset is built for text generation task in context of poem tweets in Bahasa.
-"""
-
-_HOMEPAGE = "https://github.com/jakartaresearch"
-
-# TODO: Add link to the official dataset URLs here
-# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
-# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
-_TRAIN_URL = "https://media.githubusercontent.com/media/jakartaresearch/hf-datasets/main/poem-tweets/poem-tweets/train.csv"
-
-
-# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
-class Indonews(datasets.GeneratorBasedBuilder):
-    """Poem Tweets: Indonesian Poem Tweets Generation Dataset."""
-
-    VERSION = datasets.Version("1.0.0")
-
-    def _info(self):
-        
-        features = datasets.Features(
-            {
-                "id": datasets.Value("int64"),
-                "screen_name": datasets.Value("string"),
-                "text": datasets.Value("string"),
-            }
-        )
-        
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage=_HOMEPAGE
-        )
-
-    def _split_generators(self, dl_manager):
-
-        train_path = dl_manager.download_and_extract(_TRAIN_URL)
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}),
-        ]
-
-    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
-    def _generate_examples(self, filepath):
-        """Generate examples."""
-        with open(filepath, encoding="utf-8") as csv_file:
-            csv_reader = csv.reader(csv_file, delimiter=",")
-            next(csv_reader)
-            for id_, row in enumerate(csv_reader):
-                id_tweet, screen_name, text = row
-                yield id_, {"id": id_tweet, "screen_name": screen_name, "text": text}