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import os |
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import json |
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from datasets import ( |
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GeneratorBasedBuilder, |
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DatasetInfo, |
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Features, |
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Value, |
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Sequence, |
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Split, |
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SplitGenerator, |
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BuilderConfig, |
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) |
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SUITE_DATASET_CONDITION_SPEC = { |
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"condition_name": Value("string"), |
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"content": Value("string"), |
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"regions": Sequence({ |
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"region_number": Value("int32"), |
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"content": Value("string"), |
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}), |
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} |
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SUITE_DATASET_SPEC = Features({ |
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"suite_name": Value("string"), |
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"item_number": Value("int32"), |
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"conditions": Sequence(SUITE_DATASET_CONDITION_SPEC), |
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"predictions": Sequence(Value("string")), |
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}) |
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class SyntacticAgreement(GeneratorBasedBuilder): |
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BUILDER_CONFIG_CLASS = BuilderConfig |
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BUILDER_CONFIGS = [ |
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BuilderConfig( |
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name="spanish", |
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description="Spanish syntax test suites", |
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), |
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BuilderConfig( |
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name="italian", |
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description="Italian syntax test suites", |
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), |
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BuilderConfig( |
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name="portuguese", |
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description="Portuguese syntax test suites", |
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), |
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BuilderConfig( |
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name="russian", |
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description="Russian syntax test suites", |
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), |
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] |
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def _info(self): |
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return DatasetInfo( |
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description="Agreement syntax test suites in multiple languages.", |
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features=SUITE_DATASET_SPEC, |
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supervised_keys=None, |
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homepage="", |
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license="", |
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citation="https://aclanthology.org/2025.depling-1.4/", |
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) |
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def _split_generators(self, dl_manager): |
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base_url = "https://huggingface.co/datasets/albalbalba/SyntacticAgreement/resolve/main" |
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archive_url = f"{base_url}/{self.config.name}.zip" |
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extracted_dir = dl_manager.download_and_extract(archive_url) |
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possible_nested = os.path.join(extracted_dir, self.config.name) |
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if os.path.exists(possible_nested): |
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data_dir = possible_nested |
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else: |
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data_dir = extracted_dir |
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return [ |
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SplitGenerator( |
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name=Split.TRAIN, |
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gen_kwargs={"data_dir": data_dir}, |
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), |
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] |
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def _generate_examples(self, data_dir): |
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for filename in sorted(os.listdir(data_dir)): |
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if not filename.endswith(".json"): |
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continue |
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filepath = os.path.join(data_dir, filename) |
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with open(filepath, encoding="utf-8") as f: |
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data = json.load(f) |
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suite_name = data["meta"]["name"] |
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predictions = [p["formula"] for p in data.get("predictions", [])] |
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for item in data.get("items", []): |
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item_number = item["item_number"] |
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conditions = [] |
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for condition in item.get("conditions", []): |
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content_all = " ".join( |
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[region["content"] for region in condition["regions"]] |
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).lstrip(" ") |
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content_all = ( |
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content_all.replace(" ", " ") |
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.replace(" .", ".") |
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.replace(" ,", ",") |
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.replace("¿ ", "¿") |
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) |
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conditions.append({ |
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"condition_name": condition["condition_name"], |
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"content": content_all, |
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"regions": [ |
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{ |
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"region_number": region["region_number"], |
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"content": region["content"], |
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} |
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for region in condition["regions"] |
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], |
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}) |
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key = f"{suite_name}_{item_number}" |
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yield key, { |
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"suite_name": suite_name, |
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"item_number": item_number, |
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"conditions": conditions, |
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"predictions": predictions, |
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} |
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