Delete loading script

DiaMED.py

@@ -1,167 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# 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.
-"""DIAMED"""
-
-import os
-import json
-import math
-
-import datasets
-
-_DESCRIPTION = """\
-DIAMED
-"""
-
-_HOMEPAGE = "DIAMED"
-
-_LICENSE = "Apache License 2.0"
-
-_URL = "https://huggingface.co/datasets/Dr-BERT/DiaMED/resolve/main/data.zip"
-
-_CITATION = """\
-DIAMED
-"""
-
-class DiaMed(datasets.GeneratorBasedBuilder):
-    """DIAMED"""
-
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name=f"default", version="1.0.0", description=f"DiaMED data"),
-    ]
-    
-    DEFAULT_CONFIG_NAME = "default"
-
-    def _info(self):
-
-        features = datasets.Features(
-            {
-                "identifier": datasets.Value("string"),
-                "title": datasets.Value("string"),
-                "clinical_case": datasets.Value("string"),
-                "topic": datasets.Value("string"),
-                "keywords": datasets.Sequence(
-                    datasets.Value("string"),
-                ),
-                "domains": datasets.Sequence(
-                    datasets.Value("string"),
-                ),
-                "collected_at": datasets.Value("string"),
-                "published_at": datasets.Value("string"),
-                "source_url": datasets.Value("string"),
-                "source_name": datasets.Value("string"),
-                "license": datasets.Value("string"),
-                "figures_urls": datasets.Sequence(
-                    datasets.Value("string"),
-                ),
-                "figures_paths": datasets.Sequence(
-                    datasets.Value("string"),
-                ),
-                "figures": datasets.Sequence(
-                    datasets.Image(),
-                ),
-                "icd-10": datasets.features.ClassLabel(names=[
-                    'A00-B99  Certain infectious and parasitic diseases',
-                    'C00-D49  Neoplasms',
-                    'D50-D89  Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism',
-                    'E00-E89  Endocrine, nutritional and metabolic diseases',
-                    'F01-F99  Mental, Behavioral and Neurodevelopmental disorders',
-                    'G00-G99  Diseases of the nervous system',
-                    'H00-H59  Diseases of the eye and adnexa',
-                    'H60-H95  Diseases of the ear and mastoid process',
-                    'I00-I99  Diseases of the circulatory system',
-                    'J00-J99  Diseases of the respiratory system',
-                    'K00-K95  Diseases of the digestive system',
-                    'L00-L99  Diseases of the skin and subcutaneous tissue',
-                    'M00-M99  Diseases of the musculoskeletal system and connective tissue',
-                    'N00-N99  Diseases of the genitourinary system',
-                    'O00-O9A  Pregnancy, childbirth and the puerperium',
-                    'P00-P96  Certain conditions originating in the perinatal period',
-                    'Q00-Q99  Congenital malformations, deformations and chromosomal abnormalities',
-                    'R00-R99  Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified',
-                    'S00-T88  Injury, poisoning and certain other consequences of external causes',
-                    'U00-U85  Codes for special purposes',
-                    'V00-Y99  External causes of morbidity',
-                    'Z00-Z99  Factors influencing health status and contact with health services',
-                ]),
-            }
-        )
-        
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-
-        data_dir = dl_manager.download_and_extract(_URL)
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "base_path": data_dir,
-                    "filepath": data_dir + "/splits/train.json",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "base_path": data_dir,
-                    "filepath": data_dir + "/splits/validation.json",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "base_path": data_dir,
-                    "filepath": data_dir + "/splits/test.json",
-                },
-            ),
-        ]
-
-    def _generate_examples(self, base_path, filepath):
-
-        with open(filepath, encoding="utf-8") as f:
-
-            data = json.load(f)
-
-            for key, d in enumerate(data):
-                
-                if str(d["icd-10"]) == "nan" or d["icd-10"].find("Plusieurs cas cliniques") != -1 or d["icd-10"].find("Aucune annotation") != -1:
-                    continue
-
-                yield key, {
-                    "identifier": d["identifier"],
-                    "title": d["title"],
-                    "clinical_case": d["clinical_case"],
-                    "topic": d["topic"],
-                    "keywords": d["keywords"],
-                    "domains": d["domain"],
-                    "collected_at": d["collected_at"],
-                    "published_at": d["published_at"],
-                    "source_url": d["source_url"],
-                    "source_name": d["source_name"],
-                    "license": d["license"],
-                    "figures_urls": d["figures"],
-                    "figures": [base_path + fg.lstrip(".") for fg in d["local_figures"]],
-                    "figures_paths": [base_path + fg.lstrip(".") for fg in d["local_figures"]],
-                    "icd-10": d["icd-10"],
-                }