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| """ComplexWebQuestions: A Dataset for Answering Complex Questions that Require Reasoning over Multiple Web Snippets.""" | |
| import json | |
| import os | |
| import datasets | |
| logger = datasets.logging.get_logger(__name__) | |
| _CITATION = """\ | |
| @inproceedings{Talmor2018TheWA, | |
| title={The Web as a Knowledge-Base for Answering Complex Questions}, | |
| author={Alon Talmor and Jonathan Berant}, | |
| booktitle={NAACL}, | |
| year={2018} | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| ComplexWebQuestions is a dataset for answering complex questions that require reasoning over multiple web snippets. It contains a large set of complex questions in natural language, and can be used in multiple ways: 1) By interacting with a search engine, which is the focus of our paper (Talmor and Berant, 2018); 2) As a reading comprehension task: we release 12,725,989 web snippets that are relevant for the questions, and were collected during the development of our model; 3) As a semantic parsing task: each question is paired with a SPARQL query that can be executed against Freebase to retrieve the answer. | |
| """ | |
| _URL = "https://allenai.org/data/complexwebquestions" | |
| _COMPLEXWEBQUESTIONS_URLS = { | |
| "train": "https://www.dropbox.com/sh/7pkwkrfnwqhsnpo/AAAIHeWX0cPpbpwK6w06BCxva/ComplexWebQuestions_train.json?dl=1", | |
| "dev": "https://www.dropbox.com/sh/7pkwkrfnwqhsnpo/AADH8beLbOUWxwvY_K38E3ADa/ComplexWebQuestions_dev.json?dl=1", | |
| "test": "https://www.dropbox.com/sh/7pkwkrfnwqhsnpo/AABr4ysSy_Tg8Wfxww4i_UWda/ComplexWebQuestions_test.json?dl=1" | |
| } | |
| class ComplexWebQuestionsConfig(datasets.BuilderConfig): | |
| """BuilderConfig for ComplexWebQuestions""" | |
| def __init__(self, | |
| data_url, | |
| data_dir, | |
| **kwargs): | |
| """BuilderConfig for ComplexWebQuestions. | |
| Args: | |
| **kwargs: keyword arguments forwarded to super. | |
| """ | |
| super(ComplexWebQuestionsConfig, self).__init__(**kwargs) | |
| self.data_url = data_url | |
| self.data_dir = data_dir | |
| class ComplexWebQuestions(datasets.GeneratorBasedBuilder): | |
| """ComplexWebQuestions: A Dataset for Answering Complex Questions that Require Reasoning over Multiple Web Snippets.""" | |
| BUILDER_CONFIGS = [ | |
| ComplexWebQuestionsConfig( | |
| name="complex_web_questions", | |
| description="ComplexWebQuestions", | |
| data_url="", | |
| data_dir="ComplexWebQuestions" | |
| ), | |
| ComplexWebQuestionsConfig( | |
| name="complexwebquestions_test", | |
| description="ComplexWebQuestions", | |
| data_url="", | |
| data_dir="ComplexWebQuestions" | |
| ) | |
| ] | |
| def _info(self): | |
| features = datasets.Features( | |
| { | |
| "ID": datasets.Value("string"), | |
| "answers": datasets.features.Sequence( | |
| datasets.Features( | |
| { | |
| "aliases": datasets.features.Sequence( | |
| datasets.Value("string") | |
| ), | |
| "answer": datasets.Value("string"), | |
| "answer_id": datasets.Value("string") | |
| } | |
| ) | |
| ), | |
| "composition_answer": datasets.Value("string"), | |
| "compositionality_type": datasets.Value("string"), | |
| "created": datasets.Value("string"), | |
| "machine_question": datasets.Value("string"), | |
| "question": datasets.Value("string"), | |
| "sparql": datasets.Value("string"), | |
| "webqsp_ID": datasets.Value("string"), | |
| "webqsp_question": datasets.Value("string") | |
| } | |
| ) | |
| if self.config.name == "complexwebquestions_test": | |
| features.pop("answers", None) | |
| features.pop("composition_answer", None) | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| supervised_keys=None, | |
| homepage=_URL, | |
| citation=_CITATION, | |
| features=features | |
| ) | |
| def _split_generators(self, dl_manager): | |
| data_dir = None | |
| if self.config.name == "complexwebquestions_test": | |
| complexwebquestions_test_files = dl_manager.download( | |
| { | |
| "test": _COMPLEXWEBQUESTIONS_URLS["test"], | |
| } | |
| ) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, | |
| gen_kwargs={ | |
| "data_file": os.path.join(data_dir or "", complexwebquestions_test_files["test"]), | |
| "split": "test" | |
| } | |
| ) | |
| ] | |
| else: | |
| complexwebquestions_files = dl_manager.download( | |
| { | |
| "train": _COMPLEXWEBQUESTIONS_URLS["train"], | |
| "dev": _COMPLEXWEBQUESTIONS_URLS["dev"] | |
| } | |
| ) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "data_file": os.path.join(data_dir or "", complexwebquestions_files["train"]), | |
| "split": "train" | |
| } | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.VALIDATION, | |
| gen_kwargs={ | |
| "data_file": os.path.join(data_dir or "", complexwebquestions_files["dev"]), | |
| "split": "validation" | |
| } | |
| ) | |
| ] | |
| def _generate_examples(self, data_file, **kwargs): | |
| with open(data_file, encoding="utf8") as f: | |
| complexwebquestions = json.load(f) | |
| for idx, question in enumerate(complexwebquestions): | |
| yield idx, question |