syntactic_transformations.py

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