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import json |
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import datasets |
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_DESCRIPTION = "MTOP: Multilingual Task-Oriented Semantic Parsing" |
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_LANGUAGES = ["en", "de", "es", "fr", "hi", "th"] |
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URL = "" |
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_URLs = { |
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split: { |
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"train": URL + f"{split}/train.jsonl", |
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"test": URL + f"{split}/test.jsonl", |
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"validation": URL + f"{split}/validation.jsonl", |
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} |
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for split in _LANGUAGES |
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} |
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class MTOP(datasets.GeneratorBasedBuilder): |
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"""MTOP Dataset.""" |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name=name, description=f"This part of my dataset covers {name} part of MTOP Dataset.",) |
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for name in _LANGUAGES |
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] |
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DEFAULT_CONFIG_NAME = "en" |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features( |
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{ |
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"id": datasets.Value("int64"), |
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"text": datasets.Value("string"), |
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"label": datasets.Value("int32"), |
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"label_text": datasets.Value("string"), |
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} |
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), |
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supervised_keys=None, |
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) |
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def _split_generators(self, dl_manager): |
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"""Returns SplitGenerators.""" |
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my_urls = _URLs[self.config.name] |
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data_dir = dl_manager.download_and_extract(my_urls) |
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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={"text_path": data_dir["train"]}, |
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), |
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"text_path": data_dir["validation"]},), |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, |
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gen_kwargs={"text_path": data_dir["test"]}, |
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), |
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] |
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def _generate_examples(self, text_path): |
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"""Yields examples.""" |
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with open(text_path, encoding="utf-8") as f: |
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texts = f.readlines() |
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for i, text in enumerate(texts): |
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yield i, json.loads(text) |
