Datasets:
Tasks:
Text Generation
Modalities:
Text
Sub-tasks:
language-modeling
Languages:
Indonesian
Size:
10K - 100K
License:
andreaschandra
commited on
Commit
•
3836b3e
1
Parent(s):
5195d3d
Add files
Browse files- .gitattributes +1 -0
- README.md +150 -0
- poem-tweets.py +73 -0
- train.csv +3 -0
.gitattributes
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@@ -39,3 +39,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.mp3 filter=lfs diff=lfs merge=lfs -text
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*.ogg filter=lfs diff=lfs merge=lfs -text
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*.wav filter=lfs diff=lfs merge=lfs -text
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*.mp3 filter=lfs diff=lfs merge=lfs -text
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*.ogg filter=lfs diff=lfs merge=lfs -text
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*.wav filter=lfs diff=lfs merge=lfs -text
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*.csv filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -0,0 +1,150 @@
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---
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annotations_creators:
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- no-annotation
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language:
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- id
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language_creators:
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- found
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license:
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- cc-by-4.0
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multilinguality:
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- monolingual
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pretty_name: poem_tweets
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size_categories:
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- 10K<n<100K
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source_datasets:
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- original
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tags:
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- poem
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- tweets
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- twitter
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- indonesian
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task_categories:
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- text-generation
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task_ids:
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- language-modeling
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---
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# Dataset Card for Poem Tweets
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## Table of Contents
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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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- [Annotations](#annotations)
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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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- [Contributions](#contributions)
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## Dataset Description
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- **Homepage:**
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- **Repository:**
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact:**
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### Dataset Summary
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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
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### Supported Tasks and Leaderboards
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- Text Generation
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- Language Model
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### Languages
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Indonesian
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## Dataset Structure
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### Data Instances
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[More Information Needed]
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### Data Fields
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[More Information Needed]
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### Data Splits
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[More Information Needed]
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Licensing Information
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[More Information Needed]
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### Citation Information
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[More Information Needed]
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### Contributions
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Thanks to [@andreaschandra](https://github.com/andreaschandra) for adding this dataset.
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poem-tweets.py
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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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# TODO: Address all TODOs and remove all explanatory comments
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"""Poem Tweets: Indonesian Poem Tweets Generation Dataset."""
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import csv
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import json
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import os
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import datasets
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_DESCRIPTION = """\
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This dataset is built for text generation task in context of poem tweets in Bahasa.
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"""
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_HOMEPAGE = "https://github.com/jakartaresearch"
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# TODO: Add link to the official dataset URLs here
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# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
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# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
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_TRAIN_URL = "https://media.githubusercontent.com/media/jakartaresearch/hf-datasets/main/poem-tweets/poem-tweets/train.csv"
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# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
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class Indonews(datasets.GeneratorBasedBuilder):
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"""Poem Tweets: Indonesian Poem Tweets Generation Dataset."""
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VERSION = datasets.Version("1.0.0")
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def _info(self):
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features = datasets.Features(
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{
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"id": datasets.Value("int64"),
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"screen_name": datasets.Value("string"),
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"text": datasets.Value("string"),
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}
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)
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=features,
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homepage=_HOMEPAGE
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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_URL)
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}),
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]
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# method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
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def _generate_examples(self, filepath):
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"""Generate examples."""
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with open(filepath, encoding="utf-8") as csv_file:
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csv_reader = csv.reader(csv_file, delimiter=",")
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next(csv_reader)
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for id_, row in enumerate(csv_reader):
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id_tweet, screen_name, text = row
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yield id_, {"id": id_tweet, "screen_name": screen_name, "text": text}
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train.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:ecaf04484bc8c2587f0cc64fbc9dddac37d3d162610d45b07689fd34f3a2c64c
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size 2590952
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