Init dataset

.gitignore

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+.idea/
+.vscode/
+log/
+logs/
+testdata
+
+models/
+*.imp
+*.pyc
+.DS_Store
+__pycache__
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+*.ipynb
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
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+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+ifchange
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+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
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+.cache
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+*.cover
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+.pytest_cache/
+
+# Translations
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+*.log
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+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/

dureader.py

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+import json
+import os
+
+import datasets
+from datasets import DatasetInfo, DownloadManager
+
+
+class DuReaderConfig(datasets.BuilderConfig):
+    """Config for DuReader dataset"""
+
+    def __init__(self, name, data_url, **kwargs):
+        super().__init__(name=name, version=datasets.Version("1.0.0", ""))
+        self.data_url = data_url
+
+
+class DuReader(datasets.GeneratorBasedBuilder):
+    """ """
+
+    BUILDER_CONFIGS = [
+        DuReaderConfig(
+            name="robust",
+            data_url="https://dataset-bj.cdn.bcebos.com/qianyan/dureader_robust-data.tar.gz",
+        ),
+        DuReaderConfig(
+            name="checklist",
+            data_url="https://dataset-bj.cdn.bcebos.com/qianyan/dureader_checklist-data.tar.gz",
+        ),
+        # DuReaderConfig(
+        #     name="yesno",
+        #     data_url="https://dataset-bj.cdn.bcebos.com/qianyan/dureader_yesno-data.tar.gz",
+        # ),
+    ]
+
+    def _info(self) -> DatasetInfo:
+        if self.config.name == "robust":
+            features = {
+                "id": datasets.Value("string"),
+                "context": datasets.Value("string"),
+                "question": datasets.Value("string"),
+                "answers": datasets.Sequence(
+                    {
+                        "text": datasets.Value("string"),
+                        "answer_start": datasets.Value("int32"),
+                    }
+                ),
+            }
+            return datasets.DatasetInfo(
+                description="",
+                citation="",
+                homepage="",
+                features=features,
+            )
+        if self.config.name == "checklist":
+            features = {
+                "id": datasets.Value("string"),
+                "title": datasets.Value("string"),
+                "context": datasets.Value("string"),
+                "question": datasets.Value("string"),
+                "is_impossible": datasets.Value("bool"),
+                "answers": datasets.Sequence(
+                    {
+                        "text": datasets.Value("string"),
+                        "answer_start": datasets.Value("int32"),
+                    }
+                ),
+            }
+            return datasets.DatasetInfo(
+                description="",
+                citation="",
+                homepage="",
+                features=features,
+            )
+
+        return None
+
+    def _split_generators(self, dl_manager: DownloadManager):
+        """Split generators"""
+
+        def _build(train_files, valid_files, test_files):
+            train_split = datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "data_file": train_files,
+                    "split": "train",
+                },
+            )
+            valid_split = datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "data_file": valid_files,
+                    "split": "dev",
+                },
+            )
+            test_split = datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "data_file": test_files,
+                    "split": "test",
+                },
+            )
+            return [train_split, valid_split, test_split]
+
+        if self.config.name == "robust":
+            dl_dir = dl_manager.download_and_extract(self.config.data_url)
+            splits = _build(
+                train_files=os.path.join(dl_dir, "train.json"),
+                valid_files=os.path.join(dl_dir, "dev.json"),
+                test_files=os.path.join(dl_dir, "test.json"),
+            )
+            return splits
+
+        if self.config.name == "checklist":
+            dl_dir = dl_manager.download_and_extract(self.config.data_url)
+            splits = _build(
+                train_files=os.path.join(dl_dir, "train.json"),
+                valid_files=os.path.join(dl_dir, "dev.json"),
+                test_files=os.path.join(dl_dir, "test.json"),
+            )
+            return splits
+
+        return []
+
+    def _generate_examples(self, data_file, split):
+        if self.config.name == "robust":
+            if split == "train" or split == "dev":
+                return self._generate_robust_examples(data_file)
+            return self._generate_robust_test_examples(data_file)
+
+        if self.config.name == "checklist":
+            if split == "train" or split == "dev":
+                return self._generate_checklist_examples(data_file)
+            return self._generate_checklist_test_examples(data_file)
+
+        return None, None
+
+    def _generate_robust_examples(self, data_file):
+        with open(data_file, mode="rt", encoding="utf-8") as fin:
+            data = json.load(fin)["data"]
+        for d in data:
+            for p in d["paragraphs"]:
+                context = p["context"]
+                for qa in p["qas"]:
+                    example = {
+                        "id": qa["id"],
+                        "context": context,
+                        "question": qa["question"],
+                        "answers": qa["answers"],
+                    }
+                    yield example["id"], example
+
+    def _generate_robust_test_examples(self, data_file):
+        with open(data_file, mode="rt", encoding="utf-8") as fin:
+            data = json.load(fin)["data"]
+        for d in data:
+            for p in d["paragraphs"]:
+                context = p["context"]
+                for qa in p["qas"]:
+                    example = {
+                        "id": qa["id"],
+                        "context": context,
+                        "question": qa["question"],
+                    }
+                    yield example["id"], example
+
+    def _generate_checklist_examples(self, data_file):
+        with open(data_file, mode="rt", encoding="utf-8") as fin:
+            data = json.load(fin)["data"]
+        for d in data:
+            for p in d["paragraphs"]:
+                title = p["title"]
+                context = p["context"]
+                for qa in p["qas"]:
+                    example = {
+                        "id": qa["id"],
+                        "title": title,
+                        "context": context,
+                        "question": qa["question"],
+                        "is_impossible": qa["is_impossible"],
+                        "answers": qa["answers"],
+                        "type": qa["type"],
+                    }
+                    yield example["id"], example
+
+    def _generate_checklist_test_examples(self, data_file):
+        with open(data_file, mode="rt", encoding="utf-8") as fin:
+            data = json.load(fin)["data"]
+        for d in data:
+            for p in d["paragraphs"]:
+                title = p["title"]
+                context = p["context"]
+                for qa in p["qas"]:
+                    example = {
+                        "id": qa["id"],
+                        "title": title,
+                        "context": context,
+                        "question": qa["question"],
+                    }
+                    yield example["id"], example