Delete ESPOSITO.py

ESPOSITO.py

@@ -1,92 +0,0 @@
-# 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.
-import os
-
-import datasets
-import pandas as pd
-
-
-_CITATION = """\
-"""
-
-_DESCRIPTION = """\
-"""
-
-_LICENSE = "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License"
-
-domains = {
-    "Human Science": [
-        "Human Science",
-        "Art & Architecture",
-    ],
-    "Medicine": [
-        "Medical Science",
-        "Veterinary Science",
-    ],
-    "Science & engineering": [
-        "Agriculture & Natural Resources",
-        "Engineering & Technology",
-        "Basic Science",
-    ],
-}
-
-
-class ESPOSITOConfig(datasets.BuilderConfig):
-    def __init__(self, **kwargs):
-        super().__init__(version=datasets.Version("1.0.0"), **kwargs)
-
-
-class ESPOSITO(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [
-        ESPOSITOConfig(
-            name=domain,
-        )
-        for domain in domains.keys()
-    ]
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "id":datasets.Value("int32"),
-                "question": datasets.Value("string"),
-                "A": datasets.Value("string"),
-                "B": datasets.Value("string"),
-                "C": datasets.Value("string"),
-                "D": datasets.Value("string"),
-                "answer": datasets.Value("string"),
-                "explanation":datasets.Value("string"),
-            }
-        )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage="",#_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        #data_dir = dl_manager.download_and_extract(_URL)
-        task_name = self.config.name
-        return []
-
-
-    def _generate_examples(self, filepath):
-        df = pd.read_csv(filepath,encoding="utf-8")
-        for i, instance in enumerate(df.to_dict(orient="records")):
-            if "answer" not in instance.keys():
-                instance["answer"]=""
-            if "explanation" not in instance.keys():
-                instance["explanation"]=""
-            yield i, instance