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import os |
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import json |
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import datasets |
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from typing import List |
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import logging |
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import csv |
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_DESCRIPTION = """\ |
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A collection of multilingual 3-class sentiments (positive, neutral, negative) dataset. |
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Most multilingual sentiment datasets are either 5-class ratings of products reviews (e.g. Amazon multilingual dataset) or don't include Asian languages (e.g. Malay). |
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""" |
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class MultilingualSentimentsConfig(datasets.BuilderConfig): |
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"""BuilderConfig for IndoNLU""" |
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def __init__( |
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self, |
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features, |
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train_url, |
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valid_url, |
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test_url, |
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citation, |
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**kwargs, |
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): |
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"""BuilderConfig for Multilingual Sentiments. |
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Args: |
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text_features: `dict[string, string]`, map from the name of the feature |
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dict for each text field to the name of the column in the txt/csv/tsv file |
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label_column: `string`, name of the column in the txt/csv/tsv file corresponding |
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to the label |
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label_classes: `list[string]`, the list of classes if the label is categorical |
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train_url: `string`, url to train file from |
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valid_url: `string`, url to valid file from |
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test_url: `string`, url to test file from |
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citation: `string`, citation for the data set |
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**kwargs: keyword arguments forwarded to super. |
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""" |
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super(MultilingualSentimentsConfig, self).__init__( |
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version=datasets.Version("1.0.0"), **kwargs |
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) |
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self.features = features |
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self.train_url = train_url |
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self.valid_url = valid_url |
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self.test_url = test_url |
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class MultilingualSentimentsConfig(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [ |
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MultilingualSentimentsConfig( |
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name="en", |
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description="English sentiment analysis dataset", |
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features=["text", "label"], |
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train_url="https://raw.githubusercontent.com/tyqiangz/multilingual-sentiment-datasets/main/en/train.tsv", |
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valid_url="https://raw.githubusercontent.com/tyqiangz/multilingual-sentiment-datasets/main/en/val.tsv", |
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test_url="https://raw.githubusercontent.com/tyqiangz/multilingual-sentiment-datasets/main/en/test.tsv", |
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version=datasets.Version("0.0.0") |
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), |
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MultilingualSentimentsConfig( |
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name="id", |
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description="Indonesian sentiment analysis dataset", |
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features=["text", "label"], |
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train_url="https://raw.githubusercontent.com/tyqiangz/multilingual-sentiment-datasets/main/id/train.tsv", |
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valid_url="https://raw.githubusercontent.com/tyqiangz/multilingual-sentiment-datasets/main/id/val.tsv", |
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test_url="https://raw.githubusercontent.com/tyqiangz/multilingual-sentiment-datasets/main/id/test.tsv" |
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version=datasets.Version("0.0.0") |
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) |
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] |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=self.config.description, |
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features=datasets.Features({ |
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"text": datasets.Value("string"), |
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"label": datasets.Value("string") |
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}) |
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) |
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def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]: |
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train_path = dl_manager.download_and_extract(self.config.train_url) |
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valid_path = dl_manager.download_and_extract(self.config.valid_url) |
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test_path = dl_manager.download_and_extract(self.config.test_url) |
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return [ |
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={ |
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"filepath": train_path}), |
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={ |
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"filepath": valid_path}), |
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datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={ |
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"filepath": test_path}), |
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] |
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def _generate_examples(self, filepath): |
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logging.info("generating examples from = %s", filepath) |
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with open(filepath) as f: |
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reader = csv.reader(f, delimiter="\t", quoting=csv.QUOTE_NONE) |
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for id_, row in enumerate(reader): |
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text, label = row |
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yield id_, {"text": text, "label": label} |
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