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Init dataset

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  1. .gitignore +115 -0
  2. README.md +0 -0
  3. dureader.py +198 -0
.gitignore ADDED
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+ .idea/
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+ .vscode/
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+ log/
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+ logs/
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+ testdata
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+
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+ models/
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+ *.imp
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+ *.pyc
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+ .DS_Store
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+ __pycache__
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+ # Byte-compiled / optimized / DLL files
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+ __pycache__/
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+ *.py[cod]
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+ *$py.class
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+ *.ipynb
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+ # C extensions
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+ *.so
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+
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+ # Distribution / packaging
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+ .Python
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+ build/
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+ develop-eggs/
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+ dist/
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+ downloads/
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+ eggs/
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+ .eggs/
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+ lib/
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+ lib64/
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+ parts/
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+ sdist/
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+ var/
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+ wheels/
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+ *.egg-info/
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+ .installed.cfg
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+ *.egg
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+ MANIFEST
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+ ifchange
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+ # PyInstaller
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+ # Usually these files are written by a python script from a template
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+ # before PyInstaller builds the exe, so as to inject date/other infos into it.
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+ *.manifest
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+ *.spec
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+
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+ # Installer logs
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+ pip-log.txt
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+ pip-delete-this-directory.txt
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+
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+ # Unit test / coverage reports
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+ htmlcov/
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+ .tox/
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+ .coverage
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+ .coverage.*
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+ .cache
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+ nosetests.xml
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+ coverage.xml
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+ *.cover
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+ .hypothesis/
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+ .pytest_cache/
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+
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+ # Translations
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+ *.mo
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+ *.pot
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+
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+ # Django stuff:
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+ *.log
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+ local_settings.py
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+ db.sqlite3
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+
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+ # Flask stuff:
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+ instance/
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+ .webassets-cache
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+
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+ # Scrapy stuff:
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+ .scrapy
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+
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+ # Sphinx documentation
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+ docs/_build/
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+
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+ # PyBuilder
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+ target/
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+
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+ # Jupyter Notebook
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+ .ipynb_checkpoints
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+
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+ # pyenv
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+ .python-version
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+
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+ # celery beat schedule file
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+ celerybeat-schedule
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+
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+ # SageMath parsed files
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+ *.sage.py
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+
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+ # Environments
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+ .env
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+ .venv
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+ env/
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+ venv/
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+ ENV/
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+ env.bak/
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+ venv.bak/
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+
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+ # Spyder project settings
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+ .spyderproject
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+ .spyproject
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+
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+ # Rope project settings
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+ .ropeproject
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+
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+ # mkdocs documentation
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+ /site
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+
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+ # mypy
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+ .mypy_cache/
README.md ADDED
File without changes
dureader.py ADDED
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+ import json
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+ import os
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+
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+ import datasets
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+ from datasets import DatasetInfo, DownloadManager
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+
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+
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+ class DuReaderConfig(datasets.BuilderConfig):
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+ """Config for DuReader dataset"""
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+
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+ def __init__(self, name, data_url, **kwargs):
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+ super().__init__(name=name, version=datasets.Version("1.0.0", ""))
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+ self.data_url = data_url
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+
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+
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+ class DuReader(datasets.GeneratorBasedBuilder):
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+ """ """
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+
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+ BUILDER_CONFIGS = [
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+ DuReaderConfig(
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+ name="robust",
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+ data_url="https://dataset-bj.cdn.bcebos.com/qianyan/dureader_robust-data.tar.gz",
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+ ),
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+ DuReaderConfig(
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+ name="checklist",
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+ data_url="https://dataset-bj.cdn.bcebos.com/qianyan/dureader_checklist-data.tar.gz",
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+ ),
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+ # DuReaderConfig(
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+ # name="yesno",
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+ # data_url="https://dataset-bj.cdn.bcebos.com/qianyan/dureader_yesno-data.tar.gz",
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+ # ),
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+ ]
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+
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+ def _info(self) -> DatasetInfo:
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+ if self.config.name == "robust":
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+ features = {
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+ "id": datasets.Value("string"),
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+ "context": datasets.Value("string"),
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+ "question": datasets.Value("string"),
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+ "answers": datasets.Sequence(
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+ {
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+ "text": datasets.Value("string"),
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+ "answer_start": datasets.Value("int32"),
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+ }
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+ ),
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+ }
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+ return datasets.DatasetInfo(
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+ description="",
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+ citation="",
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+ homepage="",
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+ features=features,
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+ )
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+ if self.config.name == "checklist":
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+ features = {
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+ "id": datasets.Value("string"),
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+ "title": datasets.Value("string"),
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+ "context": datasets.Value("string"),
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+ "question": datasets.Value("string"),
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+ "is_impossible": datasets.Value("bool"),
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+ "answers": datasets.Sequence(
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+ {
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+ "text": datasets.Value("string"),
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+ "answer_start": datasets.Value("int32"),
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+ }
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+ ),
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+ }
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+ return datasets.DatasetInfo(
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+ description="",
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+ citation="",
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+ homepage="",
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+ features=features,
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+ )
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+
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+ return None
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+
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+ def _split_generators(self, dl_manager: DownloadManager):
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+ """Split generators"""
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+
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+ def _build(train_files, valid_files, test_files):
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+ train_split = datasets.SplitGenerator(
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+ name=datasets.Split.TRAIN,
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+ gen_kwargs={
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+ "data_file": train_files,
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+ "split": "train",
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+ },
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+ )
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+ valid_split = datasets.SplitGenerator(
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+ name=datasets.Split.VALIDATION,
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+ gen_kwargs={
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+ "data_file": valid_files,
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+ "split": "dev",
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+ },
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+ )
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+ test_split = datasets.SplitGenerator(
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+ name=datasets.Split.TEST,
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+ gen_kwargs={
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+ "data_file": test_files,
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+ "split": "test",
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+ },
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+ )
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+ return [train_split, valid_split, test_split]
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+
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+ if self.config.name == "robust":
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+ dl_dir = dl_manager.download_and_extract(self.config.data_url)
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+ splits = _build(
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+ train_files=os.path.join(dl_dir, "train.json"),
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+ valid_files=os.path.join(dl_dir, "dev.json"),
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+ test_files=os.path.join(dl_dir, "test.json"),
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+ )
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+ return splits
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+
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+ if self.config.name == "checklist":
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+ dl_dir = dl_manager.download_and_extract(self.config.data_url)
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+ splits = _build(
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+ train_files=os.path.join(dl_dir, "train.json"),
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+ valid_files=os.path.join(dl_dir, "dev.json"),
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+ test_files=os.path.join(dl_dir, "test.json"),
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+ )
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+ return splits
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+
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+ return []
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+
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+ def _generate_examples(self, data_file, split):
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+ if self.config.name == "robust":
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+ if split == "train" or split == "dev":
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+ return self._generate_robust_examples(data_file)
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+ return self._generate_robust_test_examples(data_file)
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+
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+ if self.config.name == "checklist":
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+ if split == "train" or split == "dev":
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+ return self._generate_checklist_examples(data_file)
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+ return self._generate_checklist_test_examples(data_file)
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+
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+ return None, None
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+
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+ def _generate_robust_examples(self, data_file):
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+ with open(data_file, mode="rt", encoding="utf-8") as fin:
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+ data = json.load(fin)["data"]
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+ for d in data:
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+ for p in d["paragraphs"]:
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+ context = p["context"]
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+ for qa in p["qas"]:
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+ example = {
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+ "id": qa["id"],
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+ "context": context,
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+ "question": qa["question"],
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+ "answers": qa["answers"],
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+ }
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+ yield example["id"], example
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+
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+ def _generate_robust_test_examples(self, data_file):
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+ with open(data_file, mode="rt", encoding="utf-8") as fin:
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+ data = json.load(fin)["data"]
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+ for d in data:
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+ for p in d["paragraphs"]:
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+ context = p["context"]
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+ for qa in p["qas"]:
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+ example = {
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+ "id": qa["id"],
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+ "context": context,
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+ "question": qa["question"],
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+ }
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+ yield example["id"], example
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+
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+ def _generate_checklist_examples(self, data_file):
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+ with open(data_file, mode="rt", encoding="utf-8") as fin:
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+ data = json.load(fin)["data"]
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+ for d in data:
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+ for p in d["paragraphs"]:
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+ title = p["title"]
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+ context = p["context"]
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+ for qa in p["qas"]:
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+ example = {
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+ "id": qa["id"],
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+ "title": title,
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+ "context": context,
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+ "question": qa["question"],
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+ "is_impossible": qa["is_impossible"],
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+ "answers": qa["answers"],
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+ "type": qa["type"],
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+ }
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+ yield example["id"], example
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+
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+ def _generate_checklist_test_examples(self, data_file):
185
+ with open(data_file, mode="rt", encoding="utf-8") as fin:
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+ data = json.load(fin)["data"]
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+ for d in data:
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+ for p in d["paragraphs"]:
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+ title = p["title"]
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+ context = p["context"]
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+ for qa in p["qas"]:
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+ example = {
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+ "id": qa["id"],
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+ "title": title,
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+ "context": context,
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+ "question": qa["question"],
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+ }
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+ yield example["id"], example