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"""IVA_MT_WSLOT""" |
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import datasets |
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import json |
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_DESCRIPTION = """\ |
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""" |
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_URL = "https://github.com/cartesinus/iva_mt/raw/main/release/0.2/iva_mt_wslot-dataset-0.2.1.tar.gz" |
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_LANGUAGE_PAIRS = ["en-pl", "en-de", "en-es", "en-sv"] |
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class IVA_MTConfig(datasets.BuilderConfig): |
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"""BuilderConfig for IVA_MT""" |
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def __init__(self, language_pair, **kwargs): |
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super().__init__(**kwargs) |
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""" |
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Args: |
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language_pair: language pair, you want to load |
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**kwargs: keyword arguments forwarded to super. |
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""" |
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self.language_pair = language_pair |
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class IVA_MT(datasets.GeneratorBasedBuilder): |
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"""OPUS-100 is English-centric, meaning that all training pairs include English on either the source or target side.""" |
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VERSION = datasets.Version("0.2.1") |
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BUILDER_CONFIG_CLASS = IVA_MTConfig |
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BUILDER_CONFIGS = [ |
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IVA_MTConfig(name=pair, description=_DESCRIPTION, language_pair=pair) |
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for pair in _LANGUAGE_PAIRS |
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] |
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def _info(self): |
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src_tag, tgt_tag = self.config.language_pair.split("-") |
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return datasets.DatasetInfo( |
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features=datasets.Features( |
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{ |
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"id": datasets.Value("int64"), |
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"locale": datasets.Value("string"), |
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"origin": datasets.Value("string"), |
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"partition": datasets.Value("string"), |
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"translation_utt": datasets.features.Translation(languages=(src_tag, tgt_tag)), |
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"translation_xml": datasets.features.Translation(languages=(src_tag, tgt_tag)), |
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"src_bio": datasets.Value("string"), |
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"tgt_bio": datasets.Value("string") |
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} |
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), |
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supervised_keys=(src_tag, tgt_tag), |
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) |
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def _split_generators(self, dl_manager): |
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lang_pair = self.config.language_pair |
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src_tag, tgt_tag = lang_pair.split("-") |
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archive = dl_manager.download(_URL) |
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data_dir = "/".join(["iva_mt_wslot-dataset", "0.2.1", lang_pair]) |
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output = [] |
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test = datasets.SplitGenerator( |
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name=datasets.Split.TEST, |
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gen_kwargs={ |
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"filepath": f"{data_dir}/iva_mt_wslot-{lang_pair}-test.jsonl", |
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"files": dl_manager.iter_archive(archive), |
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"split": "test", |
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}, |
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) |
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output.append(test) |
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train = datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={ |
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"filepath": f"{data_dir}/iva_mt_wslot-{lang_pair}-train.jsonl", |
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"files": dl_manager.iter_archive(archive), |
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"split": "train", |
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}, |
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) |
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output.append(train) |
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valid = datasets.SplitGenerator( |
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name=datasets.Split.VALIDATION, |
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gen_kwargs={ |
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"filepath": f"{data_dir}/iva_mt_wslot-{lang_pair}-valid.jsonl", |
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"files": dl_manager.iter_archive(archive), |
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"split": "valid", |
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}, |
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) |
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output.append(valid) |
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return output |
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def _generate_examples(self, filepath, files, split): |
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"""Yields examples.""" |
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src_tag, tgt_tag = self.config.language_pair.split("-") |
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key_ = 0 |
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lang = _LANGUAGE_PAIRS.copy() |
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for path, f in files: |
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l = path.split("/")[-1].split("-")[1].replace('2', '-') |
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if l != self.config.language_pair: |
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continue |
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lines = f.read().decode(encoding="utf-8").split("\n") |
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for line in lines: |
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if not line: |
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continue |
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data = json.loads(line) |
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if data["partition"] != split: |
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continue |
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yield key_, { |
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"id": data["id"], |
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"locale": data["locale"], |
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"origin": data["origin"], |
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"partition": data["partition"], |
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"translation_utt": {src_tag: str(data['src_utt']), tgt_tag: str(data['tgt_utt'])}, |
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"translation_xml": {src_tag: str(data['src_xml']), tgt_tag: str(data['tgt_xml'])}, |
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"src_bio": str(data['src_bio']), |
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"tgt_bio": str(data['tgt_bio']) |
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} |
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key_ += 1 |
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