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import json |
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import os |
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import datasets |
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from datasets import DatasetInfo, DownloadManager |
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class DuReaderConfig(datasets.BuilderConfig): |
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"""Config for DuReader dataset""" |
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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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class DuReader(datasets.GeneratorBasedBuilder): |
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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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] |
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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=datasets.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("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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"type": datasets.Value("string"), |
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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=datasets.Features(features), |
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) |
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return None |
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def _split_generators(self, dl_manager: DownloadManager): |
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"""Split generators""" |
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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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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, "dureader_robust-data", "train.json"), |
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valid_files=os.path.join(dl_dir, "dureader_robust-data", "dev.json"), |
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test_files=os.path.join(dl_dir, "dureader_robust-data", "test.json"), |
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) |
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return splits |
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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, "dureader_checklist-data", "train.json"), |
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valid_files=os.path.join(dl_dir, "dureader_checklist-data", "dev.json"), |
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test_files=os.path.join(dl_dir, "dureader_checklist-data", "test.json"), |
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) |
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return splits |
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return [] |
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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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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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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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starts = [x["answer_start"] for x in qa["answers"]] |
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answers = [x["text"] for x in qa["answers"]] |
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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": { |
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"text": answers, |
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"answer_start": starts, |
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}, |
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} |
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yield example["id"], example |
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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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qid = qa["id"] |
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example = { |
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"id": qid, |
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"context": context, |
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"question": qa["question"], |
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"answers": { |
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"text": [], |
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"answer_start": [], |
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}, |
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} |
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yield example["id"], example |
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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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exist_ids = set() |
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for d in data: |
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for p in d["paragraphs"]: |
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title = p["title"].strip() |
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context = p["context"].strip() |
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for qa in p["qas"]: |
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qid = qa["id"] |
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if qid in exist_ids: |
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continue |
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exist_ids.add(qid) |
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starts = [x["answer_start"] for x in qa["answers"]] |
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answers = [x["text"].strip() for x in qa["answers"]] |
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example = { |
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"id": qid, |
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"title": title, |
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"context": context, |
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"question": qa["question"].strip(), |
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"is_impossible": qa["is_impossible"], |
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"answers": { |
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"text": answers, |
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"answer_start": starts, |
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}, |
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"type": qa["type"].strip(), |
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} |
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yield example["id"], example |
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def _generate_checklist_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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exist_ids = set() |
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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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qid = qa["id"] |
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if qid in exist_ids: |
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continue |
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exist_ids.add(qid) |
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example = { |
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"id": qid, |
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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": None, |
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"answers": { |
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"text": [], |
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"answer_start": [], |
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}, |
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"type": None, |
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} |
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yield example["id"], example |
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