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from glob import glob |
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import json |
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import os |
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from pathlib import Path |
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import datasets |
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_URLS = { |
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"tweets_with_emoji": "data/tweets_with_emoji.jsonl", |
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} |
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_CITATION = """\ |
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@dataset{tweets, |
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author = {Xing Tian}, |
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title = {tweets}, |
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month = aug, |
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year = 2024, |
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publisher = {Xing Tian}, |
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version = {1.0}, |
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} |
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""" |
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class Tweets(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("1.0.0") |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name="tweets_with_emoji", version=VERSION, description="tweets_with_emoji"), |
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] |
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def _info(self): |
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features = datasets.Features( |
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{ |
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"text": datasets.Value("string"), |
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"category": datasets.Value("string"), |
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} |
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) |
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return datasets.DatasetInfo( |
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features=features, |
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supervised_keys=None, |
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homepage="", |
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license="", |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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"""Returns SplitGenerators.""" |
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url = _URLS[self.config.name] |
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dl_path = dl_manager.download(url) |
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archive_path = dl_path |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={"archive_path": archive_path, "split": "train"}, |
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), |
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] |
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def _generate_examples(self, archive_path, split): |
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archive_path = Path(archive_path) |
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idx = 0 |
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with open(archive_path, "r", encoding="utf-8") as f: |
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for row in f: |
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row = json.loads(row) |
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text = row["text"] |
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category = row["category"] |
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yield idx, { |
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"text": text, |
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"category": category, |
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} |
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idx += 1 |
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if __name__ == '__main__': |
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pass |
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