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CMB-datasets.zip

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+size 36507969

CMB.py

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+# coding=utf-8
+# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Lint as: python3
+"""The General Language Understanding Evaluation (GLUE) benchmark."""
+
+import csv
+import os
+import sys
+import json
+import io
+import textwrap
+
+import numpy as np
+
+import datasets
+
+_CMB_CITATION = """\
+coming soon~
+"""
+
+_CMB_DESCRIPTION = """\
+
+coming soon~
+
+"""
+
+_DATASETS_FILE = "CMB-datasets.zip"
+
+
+class CMBConfig(datasets.BuilderConfig):
+    """BuilderConfig for GLUE."""
+
+    def __init__(
+            self,
+            features,
+            data_url,
+            data_dir,
+            citation,
+            url,
+            **kwargs,
+    ):
+
+
+        super(CMBConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
+        self.features = features
+        self.data_url = data_url
+        self.data_dir = data_dir
+        self.citation = citation
+        self.url = url
+
+
+class CMB(datasets.GeneratorBasedBuilder):
+    """The General Language Understanding Evaluation (GLUE) benchmark."""
+
+    BUILDER_CONFIGS = [
+        CMBConfig(
+            name="main",
+            description=textwrap.dedent(
+                """\
+            主要数据集，包含 train val test 三个组成部分."""
+            ),
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "exam_type": datasets.Value("string"),
+                    "exam_class": datasets.Value("string"),
+                    "chapter": datasets.Value("string"),
+                    "exam_subject": datasets.Value("string"),
+                    "exercise": datasets.Value("string"),
+                    "question": datasets.Value("string"),
+                    "question_type": datasets.Value("string"),
+                    "option": datasets.Value("string"),
+                    "answer": datasets.Value("string"),
+                    "explanation": datasets.Value("string")
+
+                }
+            ),
+            data_url=_DATASETS_FILE,
+            data_dir="CMB-main",
+            citation=textwrap.dedent(
+                """\
+
+            }"""
+            ),
+            url="https://github.com/FreedomIntelligence/CMB",
+        ),
+        CMBConfig(
+            name="paper-exampaper",
+            description=textwrap.dedent(
+                """\
+            历史真题
+            ."""
+            ),
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "source": datasets.Value("string"),
+                    "exam_type": datasets.Value("string"),
+                    "exam_class": datasets.Value("string"),
+                    "exam_subject": datasets.Value("string"),
+                    "question": datasets.Value("string"),
+                    "question_type": datasets.Value("string"),
+                    "option": datasets.Value("string"),
+                    "answer": datasets.Value("string")
+
+                }
+            ),
+            data_url=_DATASETS_FILE,
+            data_dir="CMB-test-exampaper",
+            citation=textwrap.dedent(
+                """\
+
+            }"""
+            ),
+            url="https://github.com/FreedomIntelligence/CMB",
+        ),
+        CMBConfig(
+            name="qa",
+            description=textwrap.dedent(
+                """\
+            QA 格式的考题
+            """
+            ),
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "title": datasets.Value("string"),
+                    "description": datasets.Value("string"),
+                    "QA_pairs": datasets.Value("string")
+
+                }
+            ),
+
+            data_url=_DATASETS_FILE,
+            data_dir="CMB-test-qa",
+            citation=textwrap.dedent(
+                """\
+
+            }"""
+            ),
+            url="https://github.com/FreedomIntelligence/CMB",
+        ),
+
+    ]
+
+    def _info(self):
+
+        return datasets.DatasetInfo(
+            description=_CMB_DESCRIPTION,
+            features=self.config.features,
+            homepage=self.config.url,
+            citation=self.config.citation + "\n" + _CMB_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        if self.config.name == "main":
+            data_file = dl_manager.extract(self.config.data_url)
+            main_data_dir = os.path.join(data_file, self.config.data_dir)
+
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    gen_kwargs={
+                        "data_file": os.path.join(main_data_dir, 'CMB-train', 'CMB-train-merge.json'),
+                        "split": "train",
+                    },
+                )
+                ,
+                datasets.SplitGenerator(
+                    name=datasets.Split.VALIDATION,
+                    gen_kwargs={
+                        "data_file": os.path.join(main_data_dir, 'CMB-val', 'CMB-val-merge.json'),
+                        "split": "val",
+                    },
+                )
+                ,
+                datasets.SplitGenerator(
+                    name=datasets.Split.TEST,
+                    gen_kwargs={
+                        "data_file": os.path.join(main_data_dir, 'CMB-test', 'CMB-test-choice-question-merge.json'),
+                        "split": "test",
+                    },
+                )
+            ]
+
+        if self.config.name == "paper-exampaper":
+            data_file = dl_manager.extract(self.config.data_url)
+            main_data_dir = os.path.join(data_file, self.config.data_dir)
+            return [
+
+
+                datasets.SplitGenerator(
+                    name=datasets.Split.TEST,
+                    gen_kwargs={
+                        "data_file": os.path.join(main_data_dir, 'CMB-test-zhenti-merge.json'),
+                        "split": "test",
+                    },
+                )
+            ]
+
+        if self.config.name == "qa":
+            data_file = dl_manager.extract(self.config.data_url)
+            main_data_dir = os.path.join(data_file, self.config.data_dir)
+            return [
+
+
+                datasets.SplitGenerator(
+                    name=datasets.Split.TEST,
+                    gen_kwargs={
+                        "data_file": os.path.join(main_data_dir, 'CMB-test-qa.json'),
+                        "split": "test",
+                    },
+                )
+            ]
+
+
+    def _generate_examples(self, data_file, split, mrpc_files=None):
+
+        if self.config.name == 'main':
+
+            examples = json.loads(io.open(data_file, 'r').read())
+
+            for idx in range(len(examples)):
+                vals = examples[idx]
+                vals['explanation'] = vals.get('explanation','')
+                vals['exercise'] = vals.get('exercise','')
+                vals['chapter'] = vals.get('chapter','')
+                vals['answer'] = vals.get('answer','')
+                vals['id'] = vals.get('id',idx)
+                yield idx, vals
+
+        if self.config.name == 'paper-exampaper':
+            examples = json.loads(io.open(data_file, 'r').read())
+            for idx in range(len(examples)):
+                vals = examples[idx]
+                vals['answer'] = vals.get('answer','')
+                vals['source'] = vals.get('source','')
+                vals['id'] = vals.get('id',idx)
+                yield idx, vals
+
+        if self.config.name == 'qa':
+            examples = json.loads(io.open(data_file, 'r').read())
+            for idx in range(len(examples)):
+                vals = examples[idx]
+                vals['id'] = vals.get('id',idx)
+                yield idx, vals
+
+
+
+if __name__ == '__main__':
+    from datasets import load_dataset
+
+    dataset = load_dataset('CMB.py', 'main')
+    # dataset = load_dataset('CMB.py', 'qa')
+
+    print()