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  1. .gitattributes +1 -0
  2. README.md +150 -0
  3. poem-tweets.py +73 -0
  4. train.csv +3 -0
.gitattributes CHANGED
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README.md ADDED
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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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+
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+ # Dataset Card for Poem Tweets
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+
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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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+
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+ ## Dataset Description
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+
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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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+
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+ ### Dataset Summary
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+
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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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+
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+ ### Supported Tasks and Leaderboards
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+
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+ - Text Generation
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+ - Language Model
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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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+ [More Information Needed]
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+
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+ ### Data Fields
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+
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+ [More Information Needed]
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+
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+ ### Data Splits
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+
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+ [More Information Needed]
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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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+ [More Information Needed]
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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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+ [More Information Needed]
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+
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+ #### Who are the source language producers?
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+
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+ [More Information Needed]
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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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+ [More Information Needed]
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+
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+ #### Who are the annotators?
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+
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+ [More Information Needed]
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+
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+ ### Personal and Sensitive Information
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+
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+ [More Information Needed]
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ [More Information Needed]
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+
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+ ### Discussion of Biases
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+
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+ [More Information Needed]
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+
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+ ### Other Known Limitations
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+
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+ [More Information Needed]
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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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+ [More Information Needed]
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+
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+ ### Licensing Information
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+
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+ [More Information Needed]
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+
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+ ### Citation Information
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+
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+ [More Information Needed]
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+
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+ ### Contributions
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+
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+ Thanks to [@andreaschandra](https://github.com/andreaschandra) for adding this dataset.
poem-tweets.py ADDED
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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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+
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+
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+ import csv
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+ import json
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+ import os
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+
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+ import datasets
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+
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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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+
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+ _HOMEPAGE = "https://github.com/jakartaresearch"
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+
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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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+
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+
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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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+
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+ VERSION = datasets.Version("1.0.0")
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+
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+ def _info(self):
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+
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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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+
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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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+
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+ def _split_generators(self, dl_manager):
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+
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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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+
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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}
train.csv ADDED
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+ oid sha256:ecaf04484bc8c2587f0cc64fbc9dddac37d3d162610d45b07689fd34f3a2c64c
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+ size 2590952