Update parquet files

.gitattributes

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-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bin.* filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
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-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
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-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
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-*.zstandard filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
-dummy/checklist filter=lfs diff=lfs merge=lfs -text
-dummy/robust filter=lfs diff=lfs merge=lfs -text

.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/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-wheels/
-*.egg-info/
-.installed.cfg
-*.egg
-MANIFEST
-ifchange
-# PyInstaller
-#  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.
-*.manifest
-*.spec
-
-# Installer logs
-pip-log.txt
-pip-delete-this-directory.txt
-
-# Unit test / coverage reports
-htmlcov/
-.tox/
-.coverage
-.coverage.*
-.cache
-nosetests.xml
-coverage.xml
-*.cover
-.hypothesis/
-.pytest_cache/
-
-# Translations
-*.mo
-*.pot
-
-# Django stuff:
-*.log
-local_settings.py
-db.sqlite3
-
-# Flask stuff:
-instance/
-.webassets-cache
-
-# Scrapy stuff:
-.scrapy
-
-# Sphinx documentation
-docs/_build/
-
-# PyBuilder
-target/
-
-# Jupyter Notebook
-.ipynb_checkpoints
-
-# pyenv
-.python-version
-
-# celery beat schedule file
-celerybeat-schedule
-
-# SageMath parsed files
-*.sage.py
-
-# Environments
-.env
-.venv
-env/
-venv/
-ENV/
-env.bak/
-venv.bak/
-
-# Spyder project settings
-.spyderproject
-.spyproject
-
-# Rope project settings
-.ropeproject
-
-# mkdocs documentation
-/site
-
-# mypy
-.mypy_cache/

README.md

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-# dureader
-
-数据来自千言DuReader数据集，这里是原始地址 [千言数据集：阅读理解](https://aistudio.baidu.com/aistudio/competition/detail/49/0/task-definition)。
-
-> 本数据集只用作学术研究使用。如果本仓库涉及侵权行为，会立即删除。
-
-目前包含以下两个子集：
-
-* DuReader-robust
-* DuReader-checklist
-
-```python
-from datasets import load_dataset
-
-robust = load_dataset("luozhouyang/dureader", "robust")
-
-checklist = load_dataset("luozhouyang/dureader", "checklist")
-
-```

dummy/checklist/1.0.0/dummy_data.zip → checklist/dureader-test.parquet

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dummy/robust/1.0.0/dummy_data.zip → checklist/dureader-train.parquet

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checklist/dureader-validation.parquet

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dataset_infos.json

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-{"robust": {"description": "", "citation": "", "homepage": "", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "du_reader", "config_name": "robust", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 12509537, "num_examples": 14520, "dataset_name": "du_reader"}, "validation": {"name": "validation", "num_bytes": 1228154, "num_examples": 1417, "dataset_name": "du_reader"}, "test": {"name": "test", "num_bytes": 46912731, "num_examples": 50000, "dataset_name": "du_reader"}}, "download_checksums": {"https://dataset-bj.cdn.bcebos.com/qianyan/dureader_robust-data.tar.gz": {"num_bytes": 20518631, "checksum": "99bed9ced8995df1c89b9789f890c27a13b4650a56b4d973907cc28da8bd9f0f"}}, "download_size": 20518631, "post_processing_size": null, "dataset_size": 60650422, "size_in_bytes": 81169053}, "checklist": {"description": "", "citation": "", "homepage": "", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "is_impossible": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}, "type": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "du_reader", "config_name": "checklist", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2459480, "num_examples": 2999, "dataset_name": "du_reader"}, "validation": {"name": "validation", "num_bytes": 879626, "num_examples": 1130, "dataset_name": "du_reader"}, "test": {"name": "test", "num_bytes": 32421655, "num_examples": 49992, "dataset_name": "du_reader"}}, "download_checksums": {"https://dataset-bj.cdn.bcebos.com/qianyan/dureader_checklist-data.tar.gz": {"num_bytes": 18319191, "checksum": "223c370696b9f1e8c89d84b7935c8da88128004788ad80fb9c3830130461e6f3"}}, "download_size": 18319191, "post_processing_size": null, "dataset_size": 35760761, "size_in_bytes": 54079952}}

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=datasets.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("string"),
-                "answers": datasets.Sequence(
-                    {
-                        "text": datasets.Value("string"),
-                        "answer_start": datasets.Value("int32"),
-                    }
-                ),
-                "type": datasets.Value("string"),
-            }
-            return datasets.DatasetInfo(
-                description="",
-                citation="",
-                homepage="",
-                features=datasets.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, "dureader_robust-data", "train.json"),
-                valid_files=os.path.join(dl_dir, "dureader_robust-data", "dev.json"),
-                test_files=os.path.join(dl_dir, "dureader_robust-data", "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, "dureader_checklist-data", "train.json"),
-                valid_files=os.path.join(dl_dir, "dureader_checklist-data", "dev.json"),
-                test_files=os.path.join(dl_dir, "dureader_checklist-data", "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)
-
-    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"]:
-                    starts = [x["answer_start"] for x in qa["answers"]]
-                    answers = [x["text"] for x in qa["answers"]]
-                    example = {
-                        "id": qa["id"],
-                        "context": context,
-                        "question": qa["question"],
-                        "answers": {
-                            "text": answers,
-                            "answer_start": starts,
-                        },
-                    }
-                    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"]:
-                    qid = qa["id"]
-                    example = {
-                        "id": qid,
-                        "context": context,
-                        "question": qa["question"],
-                        "answers": {
-                            "text": [],
-                            "answer_start": [],
-                        },
-                    }
-                    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"]
-        exist_ids = set()
-        for d in data:
-            for p in d["paragraphs"]:
-                title = p["title"].strip()
-                context = p["context"].strip()
-                for qa in p["qas"]:
-                    qid = qa["id"]
-                    # skip dumplicate keys
-                    if qid in exist_ids:
-                        continue
-                    exist_ids.add(qid)
-                    starts = [x["answer_start"] for x in qa["answers"]]
-                    answers = [x["text"].strip() for x in qa["answers"]]
-                    example = {
-                        "id": qid,
-                        "title": title,
-                        "context": context,
-                        "question": qa["question"].strip(),
-                        "is_impossible": qa["is_impossible"],
-                        "answers": {
-                            "text": answers,
-                            "answer_start": starts,
-                        },
-                        "type": qa["type"].strip(),
-                    }
-                    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"]
-        exist_ids = set()
-        for d in data:
-            for p in d["paragraphs"]:
-                title = p["title"]
-                context = p["context"]
-                for qa in p["qas"]:
-                    qid = qa["id"]
-                    if qid in exist_ids:
-                        continue
-                    exist_ids.add(qid)
-                    example = {
-                        "id": qid,
-                        "title": title,
-                        "context": context,
-                        "question": qa["question"],
-                        "is_impossible": None,
-                        "answers": {
-                            "text": [],
-                            "answer_start": [],
-                        },
-                        "type": None,
-                    }
-                    yield example["id"], example

robust/dureader-test.parquet

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robust/dureader-train.parquet

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robust/dureader-validation.parquet

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