import dataclasses import datasets import json logger = datasets.logging.get_logger(__name__) _CITATION = """\ @inproceedings{mueller-etal-2022-coloring, title = "Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models", author = "Mueller, Aaron and Frank, Robert and Linzen, Tal and Wang, Luheng and Schuster, Sebastian", booktitle = "Findings of the Association for Computational Linguistics: ACL 2022", month = may, year = "2022", address = "Dublin, Ireland", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2022.findings-acl.106", doi = "10.18653/v1/2022.findings-acl.106", pages = "1352--1368", } """ _DESCRIPTION = """\ This is the dataset used for Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models. """ class SyntacticTransformationsConfig(datasets.BuilderConfig): def __init__(self, description, features, data_url, citation, url, **kwargs): super(SyntacticTransformationsConfig, self).__init__(version=datasets.Version("1.18.3"), **kwargs) self.description = description self.text_features = features self.citation = citation self.data_url = data_url self.url = url class SyntacticTransformations(datasets.GeneratorBasedBuilder): standard_features = datasets.Features( { "src": datasets.Value("string"), "tgt": datasets.Value("string"), "prefix": datasets.Value("string") } ) BUILDER_CONFIGS = [ SyntacticTransformationsConfig( name="passiv-en-nps", description="English passivization transformations.", features=standard_features, data_url="https://raw.githubusercontent.com/sebschu/multilingual-transformations/main/data/passiv_en_nps/", url="https://github.com/sebschu/multilingual-transformations/", citation=_CITATION ), SyntacticTransformationsConfig( name="passiv-de-nps", description="German passivization transformations.", features=standard_features, data_url="https://raw.githubusercontent.com/sebschu/multilingual-transformations/main/data/passiv_de_nps/", url="https://github.com/sebschu/multilingual-transformations/", citation=_CITATION ), SyntacticTransformationsConfig( name="question-en", description="English question formation transformations.", features=standard_features, data_url="https://raw.githubusercontent.com/sebschu/multilingual-transformations/main/data/question_have-havent_en/", url="https://github.com/sebschu/multilingual-transformations/", citation=_CITATION ), SyntacticTransformationsConfig( name="question-de", description="German question formation transformations.", features=standard_features, data_url="https://raw.githubusercontent.com/sebschu/multilingual-transformations/main/data/question_have-can_withquest_de/", url="https://github.com/sebschu/multilingual-transformations/", citation=_CITATION ), SyntacticTransformationsConfig( name="passiv-en_de-nps", description="Zero-shot English-to-German passivization transformations.", features=standard_features, data_url="https://raw.githubusercontent.com/sebschu/multilingual-transformations/main/data/passiv_en-de_nps/", url="https://github.com/sebschu/multilingual-transformations/", citation=_CITATION ), SyntacticTransformationsConfig( name="question-en_de", description="Zero-shot English-to-German question formation transformations.", features=standard_features, data_url="https://raw.githubusercontent.com/sebschu/multilingual-transformations/main/data/question_have-can_de/", url="https://github.com/sebschu/multilingual-transformations/", citation=_CITATION ) ] def _split_generators(self, dl_manager): if self.config.name == "passiv-en-nps": template = "passiv_en_nps.{}.json" _URLS = { "train": self.config.data_url + template.format("train"), "dev": self.config.data_url + template.format("dev"), "test": self.config.data_url + template.format("test"), "gen": self.config.data_url + template.format("gen"), } elif self.config.name == "passiv-de-nps": template = "passiv_de_nps.{}.json" _URLS = { "train": self.config.data_url + template.format("train"), "dev": self.config.data_url + template.format("dev"), "test": self.config.data_url + template.format("test"), "gen": self.config.data_url + template.format("gen"), } elif self.config.name == "question-en": template = "question_have.{}.json" _URLS = { "train": self.config.data_url + template.format("train"), "dev": self.config.data_url + template.format("dev"), "test": self.config.data_url + template.format("test"), "gen": self.config.data_url + template.format("gen"), } elif self.config.name == "question-de": template = "question_have_can.de.{}.json" _URLS = { "train": self.config.data_url + template.format("train"), "dev": self.config.data_url + template.format("dev"), "test": self.config.data_url + template.format("test"), "gen": self.config.data_url + template.format("gen"), } elif self.config.name == "question-en_de": template = "question_have_can.de.{}.json" _URLS = { "train": self.config.data_url + "question_have_can.en-de.train.json", "dev": self.config.data_url + template.format("dev"), "test": self.config.data_url + template.format("test"), "gen_rc_s": self.config.data_url + template.format("gen_rc_s"), "gen_rc_o": self.config.data_url + template.format("gen_rc_o"), } elif self.config.name == "passiv-en_de-nps": template = "passiv_de_nps.{}.json" _URLS = { "train": self.config.data_url + "passiv_en-de_nps.train.json", "dev": self.config.data_url + template.format("dev"), "test": self.config.data_url + template.format("test"), "gen_pp_s": self.config.data_url + template.format("gen_pp_s"), "gen_pp_o": self.config.data_url + template.format("gen_pp_o"), } data_files = dl_manager.download(_URLS) if "en_de" not in self.config.name: return [ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_files["train"]}), datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": data_files["dev"]}), datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": data_files["test"]}), datasets.SplitGenerator(name=datasets.NamedSplit('generalization'), gen_kwargs={"filepath": data_files["gen"]}), ] else: gen_s = "gen_pp_s" if "passiv" in self.config.name else "gen_rc_s" gen_o = "gen_pp_o" if "passiv" in self.config.name else "gen_rc_o" return [ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_files["train"]}), datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": data_files["dev"]}), datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": data_files["test"]}), datasets.SplitGenerator(name=datasets.NamedSplit('generalization_s'), gen_kwargs={"filepath": data_files[gen_s]}), datasets.SplitGenerator(name=datasets.NamedSplit('generalization_o'), gen_kwargs={"filepath": data_files[gen_o]}), ] def _info(self): features = {text_feature: datasets.Value("string") for text_feature in self.config.text_features.keys()} return datasets.DatasetInfo( description=_DESCRIPTION, features=datasets.Features(features), homepage=self.config.url, citation=_CITATION, ) def _generate_examples(self, filepath): """This function returns the examples in the raw (text) form.""" logger.info("generating examples from = %s", filepath) with open(filepath) as f: id_ = 0 for line in f: example = json.loads(line) src = example["translation"]["src"] tgt = example["translation"]["tgt"] prefix = example["translation"]["prefix"] # Features currently used are "context", "question", and "answers". # Others are extracted here for the ease of future expansions. yield id_, { "src": src, "tgt": tgt, "prefix": prefix, } id_ += 1