Delete CMB.py

CMB.py

@@ -1,211 +0,0 @@
-# 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 Chinese Medical Benchmark (CMB)"""
-
-import csv
-import os
-import sys
-import json
-import io
-import textwrap
-
-import numpy as np
-
-import datasets
-
-_CMB_CITATION = """\
-coming soon~
-"""
-
-_CMB_DESCRIPTION = """\
-
-Chinese Medical Benchmark
-
-"""
-
-_DATASETS_FILE = "https://huggingface.co/datasets/FreedomIntelligence/CMB/resolve/main/CMB-datasets.zip"
-
-
-class CMBConfig(datasets.BuilderConfig):
-    """BuilderConfig for CMB"""
-
-    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 Chinese Medical Benchmark (CMB)"""
-
-    BUILDER_CONFIGS = [
-        CMBConfig(
-            name="exam",
-            description=textwrap.dedent(
-                """\
-            全方位多层次注入和测评模型医疗知识，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"),
-                    "exam_subject": 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-Exam",
-            citation=textwrap.dedent(
-                """\
-
-            }"""
-            ),
-            url="https://github.com/FreedomIntelligence/CMB",
-        ),
-        CMBConfig(
-            name="clin",
-            description=textwrap.dedent(
-                """\
-            测评复杂临床问诊能力
-            """
-            ),
-            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-Clin",
-            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 == "exam":
-            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 == "clin":
-            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-Clin-qa.json'),
-                        "split": "test",
-                    },
-                )
-            ]
-
-
-    def _generate_examples(self, data_file, split, mrpc_files=None):
-
-        if self.config.name == 'exam':
-
-            examples = json.loads(io.open(data_file, 'r', encoding='utf-8').read())
-
-            for idx in range(len(examples)):
-                vals = examples[idx]
-                vals['explanation'] = vals.get('explanation','')
-                vals['answer'] = vals.get('answer','')
-                vals['id'] = vals.get('id',idx)
-                yield idx, vals
-
-        if self.config.name == 'clin':
-            examples = json.loads(io.open(data_file, 'r', encoding='utf-8').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', 'exam')
-    # dataset = load_dataset('CMB.py', 'clin')
-
-    print()