| """TODO(got): Add a description here.""" |
|
|
|
|
| import json |
|
|
| import datasets |
| from datasets.tasks import QuestionAnsweringExtractive |
|
|
|
|
| |
|
|
| _CITATION = """\ |
| test 123 |
| """ |
| _DESCRIPTION = """\ |
| test 567 |
| """ |
|
|
| _URL = "https://gitlab.com/johntang/data/-/raw/main/got/got_train.json" |
| _URLS = { |
| "train": _URL + "dev-v1.1.json", |
| "dev": _URL + "dev-v1.1.json" |
| } |
|
|
|
|
| class GotConfig(datasets.BuilderConfig): |
| """BuilderConfig for GOT.""" |
|
|
| def __init__(self, **kwargs): |
| """BuilderConfig for GOT. |
| Args: |
| **kwargs: keyword arguments forwarded to super. |
| """ |
| super(GotConfig, self).__init__(**kwargs) |
|
|
|
|
|
|
| class Got(datasets.GeneratorBasedBuilder): |
| """GOT: Test""" |
|
|
| BUILDER_CONFIGS = [ |
| GotConfig( |
| name="plain_text", |
| version=datasets.Version("1.0.0", ""), |
| description="Plain text", |
| ), |
| ] |
|
|
| def _info(self): |
| return datasets.DatasetInfo( |
| description=_DESCRIPTION, |
| features=datasets.Features( |
| { |
| "id": datasets.Value("string"), |
| "title": datasets.Value("string"), |
| "context": datasets.Value("string"), |
| "question": datasets.Value("string"), |
| "answers": datasets.features.Sequence( |
| { |
| "text": datasets.Value("string"), |
| "answer_start": datasets.Value("int32"), |
| } |
| ), |
| } |
| ), |
| |
| |
| supervised_keys=None, |
| homepage="https://gitlab.com/johntang/data/got", |
| citation=_CITATION, |
| task_templates=[ |
| QuestionAnsweringExtractive( |
| question_column="question", context_column="context", answers_column="answers" |
| ) |
| ], |
| ) |
|
|
| def _split_generators(self, dl_manager): |
| downloaded_files = dl_manager.download_and_extract(_URLS) |
|
|
| return [ |
| datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}), |
| datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}), |
| ] |
|
|
| def _generate_examples(self, filepath): |
| """This function returns the examples in the raw (text) form.""" |
| logger.info("generating examples from = %s", filepath) |
| key = 0 |
| with open(filepath, encoding="utf-8") as f: |
| squad = json.load(f) |
| for article in squad["data"]: |
| title = article.get("title", "") |
| for paragraph in article["paragraphs"]: |
| context = paragraph["context"] |
| for qa in paragraph["qas"]: |
| answer_starts = [answer["answer_start"] for answer in qa["answers"]] |
| answers = [answer["text"] for answer in qa["answers"]] |
| |
| |
| yield key, { |
| "title": title, |
| "context": context, |
| "question": qa["question"], |
| "id": qa["id"], |
| "answers": { |
| "answer_start": answer_starts, |
| "text": answers, |
| }, |
| } |
| key += 1 |
|
|
