Delete MapReader_Data_SIGSPATIAL_2022

MapReader_Data_SIGSPATIAL_2022

@@ -1,110 +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.
-"""TODO"""
-
-import csv
-import os
-
-import datasets
-from PIL import Image
-
-_CITATION = """\
-@dataset{kasra_hosseini_2022_7147906,
-  author       = {Kasra Hosseini and
-                  Daniel C.S. Wilson and
-                  Kaspar Beelen and
-                  Katherine McDonough},
-  title        = {MapReader_Data_SIGSPATIAL_2022},
-  month        = oct,
-  year         = 2022,
-  publisher    = {Zenodo},
-  version      = {v0.3.3},
-  doi          = {10.5281/zenodo.7147906},
-  url          = {https://doi.org/10.5281/zenodo.7147906}
-}
-"""
-
-_DESCRIPTION = """\
-TODO"""
-
-_HOMEPAGE = "https://doi.org/10.5281/zenodo.3366686"
-_LICENSE = "Creative Commons Attribution Non Commercial Share Alike 4.0 International"
-
-_URL = "https://zenodo.org/record/7147906/files/MapReader_Data_SIGSPATIAL_2022.zip?download=1"
-
-
-class RailspaceData(datasets.GeneratorBasedBuilder):
-    """National Library of Scotland Railspace dataset."""
-
-    VERSION = datasets.Version("1.1.0")
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "image": datasets.Image(),
-                "label": datasets.ClassLabel(
-                    names=[
-                        "no building or railspace",
-                        "railspace",
-                        "building",
-                        "railspace and non railspace building",
-                    ]
-                ),  # Labels: 0: no [building or railspace]; 1: railspace; 2: building; and 3: railspace and [non railspace] building.
-                "map_sheet": datasets.Value("string"),
-            }
-        )
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        data = dl_manager.download_and_extract(_URL)
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"data": data, "split": "train"},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={"data": data, "split": "valid"},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"data": data, "split": "test"},
-            ),
-        ]
-
-    def _generate_examples(self, data, split):
-        with open(
-            os.path.join(
-                data, f"MapReader_Data_SIGSPATIAL_2022/annotations/{split}.csv"
-            ),
-            "r",
-        ) as f:
-            reader = csv.DictReader(f)
-            for id_, row in enumerate(reader):
-                label = row["label"]
-                map_sheet = row["image_id"].split("#")[1]
-                image_file = os.path.join(
-                    data,
-                    f"MapReader_Data_SIGSPATIAL_2022/annotations/{row['image_id']}",
-                )
-                image = Image.open(image_file)
-                yield id_, {"image": image, "label": label, "map_sheet": map_sheet}