add data loading script

50States2K.py

@@ -0,0 +1,256 @@
+# 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: Address all TODOs and remove all explanatory comments
+
+import csv
+import json
+import os
+
+import datasets
+from PIL import Image
+
+# Find for instance the citation on arxiv or on the dataset repo/website
+_CITATION = """\
+@InProceedings{huggingface:dataset,
+title = {50States2K},
+author={Rui
+},
+year={2023}
+}
+"""
+
+# You can copy an official description
+_DESCRIPTION = """\
+50States2K dataset
+"""
+
+_HOMEPAGE = "https://huggingface.co/datasets/Rui6188/50States2K"
+
+_LICENSE = ""
+
+# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
+# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
+_URLS = {
+    "Alabama": "Alabama",
+    "Alaska": "Alaska",
+    "Arizona": "Arizona",
+    "Arkansas": "Arkansas",
+    "California": "California",
+    "Colorado": "Colorado",
+    "Connecticut": "Connecticut",
+    "Delaware": "Delaware",
+    "Florida": "Florida",
+    "Georgia": "Georgia",
+    "Hawaii": "Hawaii",
+    "Idaho": "Idaho",
+    "Illinois": "Illinois",
+    "Indiana": "Indiana",
+    "Iowa": "Iowa",
+    "Kansas": "Kansas",
+    "Kentucky": "Kentucky",
+    "Louisiana": "Louisiana",
+    "Maine": "Maine",
+    "Maryland": "Maryland",
+    "Massachusetts": "Massachusetts",
+    "Michigan": "Michigan",
+    "Minnesota": "Minnesota",
+    "Mississippi": "Mississippi",
+    "Missouri": "Missouri",
+    "Montana": "Montana",
+    "Nebraska": "Nebraska",
+    "Nevada": "Nevada",
+    "New Hampshire": "New Hampshire",
+    "New Jersey": "New Jersey",
+    "New Mexico": "New Mexico",
+    "New York": "New York",
+    "North Carolina": "North Carolina",
+    "North Dakota": "North Dakota",
+    "Ohio": "Ohio",
+    "Oklahoma": "Oklahoma",
+    "Oregon": "Oregon",
+    "Pennsylvania": "Pennsylvania",
+    "Rhode Island": "Rhode Island",
+    "South Carolina": "South Carolina",
+    "South Dakota": "South Dakota",
+    "Tennessee": "Tennessee",
+    "Texas": "Texas",
+    "Utah": "Utah",
+    "Vermont": "Vermont",
+    "Virginia": "Virginia",
+    "Washington": "Washington",
+    "West Virginia": "West Virginia",
+    "Wisconsin": "Wisconsin",
+    "Wyoming": "Wyoming",
+}
+
+
+# TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
+class NewDataset(datasets.GeneratorBasedBuilder):
+    """TODO: Short description of my dataset."""
+
+    VERSION = datasets.Version("1.1.0")
+
+    # This is an example of a dataset with multiple configurations.
+    # If you don't want/need to define several sub-sets in your dataset,
+    # just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.
+
+    # If you need to make complex sub-parts in the datasets with configurable options
+    # You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
+    # BUILDER_CONFIG_CLASS = MyBuilderConfig
+
+    # You will be able to load one or the other configurations in the following list with
+    # data = datasets.load_dataset('my_dataset', 'first_domain')
+    # data = datasets.load_dataset('my_dataset', 'second_domain')
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="Alabama", version=VERSION, description="images of Alamaba", data_dir="./Alabama"),
+        datasets.BuilderConfig(name="Alaska", version=VERSION, description="images of Alaska", data_dir="./Alaska"),
+        datasets.BuilderConfig(name="Arizona", version=VERSION, description="images of Arizona", data_dir="./Arizona"),
+        datasets.BuilderConfig(name="Arkansas", version=VERSION, description="images of Arkansas", data_dir="./Arkansas"),
+        datasets.BuilderConfig(name="California", version=VERSION, description="images of California", data_dir="./California"),
+        datasets.BuilderConfig(name="Colorado", version=VERSION, description="images of Colorado", data_dir="./Colorado"),
+        datasets.BuilderConfig(name="Connecticut", version=VERSION, description="images of Connecticut", data_dir="./Connecticut"),
+        datasets.BuilderConfig(name="Delaware", version=VERSION, description="images of Delaware", data_dir="./Delaware"),
+        datasets.BuilderConfig(name="Florida", version=VERSION, description="images of Florida", data_dir="./Florida"),
+        datasets.BuilderConfig(name="Georgia", version=VERSION, description="images of Georgia", data_dir="./Georgia"),
+        datasets.BuilderConfig(name="Hawaii", version=VERSION, description="images of Hawaii", data_dir="./Hawaii"),
+        datasets.BuilderConfig(name="Idaho", version=VERSION, description="images of Idaho", data_dir="./Idaho"),
+        datasets.BuilderConfig(name="Illinois", version=VERSION, description="images of Illinois", data_dir="./Illinois"),
+        datasets.BuilderConfig(name="Indiana", version=VERSION, description="images of Indiana", data_dir="./Indiana"),
+        datasets.BuilderConfig(name="Iowa", version=VERSION, description="images of Iowa", data_dir="./Iowa"),
+        datasets.BuilderConfig(name="Kansas", version=VERSION, description="images of Kansas", data_dir="./Kansas"),
+        datasets.BuilderConfig(name="Kentucky", version=VERSION, description="images of Kentucky", data_dir="./Kentucky"),
+        datasets.BuilderConfig(name="Louisiana", version=VERSION, description="images of Louisiana", data_dir="./Louisiana"),
+        datasets.BuilderConfig(name="Maine", version=VERSION, description="images of Maine", data_dir="./Maine"),
+        datasets.BuilderConfig(name="Maryland", version=VERSION, description="images of Maryland", data_dir="./Maryland"),
+        datasets.BuilderConfig(name="Massachusetts", version=VERSION, description="images of Massachusetts", data_dir="./Massachusetts"),
+        datasets.BuilderConfig(name="Michigan", version=VERSION, description="images of Michigan", data_dir="./Michigan"),
+        datasets.BuilderConfig(name="Minnesota", version=VERSION, description="images of Minnesota", data_dir="./Minnesota"),
+        datasets.BuilderConfig(name="Mississippi", version=VERSION, description="images of Mississippi", data_dir="./Mississippi"),
+        datasets.BuilderConfig(name="Missouri", version=VERSION, description="images of Missouri", data_dir="./Missouri"),
+        datasets.BuilderConfig(name="Montana", version=VERSION, description="images of Montana", data_dir="./Montana"),
+        datasets.BuilderConfig(name="Nebraska", version=VERSION, description="images of Nebraska", data_dir="./Nebraska"),
+        datasets.BuilderConfig(name="Nevada", version=VERSION, description="images of Nevada", data_dir="./Nevada"),
+        datasets.BuilderConfig(name="New Hampshire", version=VERSION, description="images of New Hampshire", data_dir="./New Hampshire"),
+        datasets.BuilderConfig(name="New Jersey", version=VERSION, description="images of New Jersey", data_dir="./New Jersey"),
+        datasets.BuilderConfig(name="New Mexico", version=VERSION, description="images of New Mexico", data_dir="./New Mexico"),
+        datasets.BuilderConfig(name="New York", version=VERSION, description="images of New York", data_dir="./New York"),
+        datasets.BuilderConfig(name="North Carolina", version=VERSION, description="images of North Carolina", data_dir="./North Carolina"),
+        datasets.BuilderConfig(name="North Dakota", version=VERSION, description="images of North Dakota", data_dir="./North Dakota"),
+        datasets.BuilderConfig(name="Ohio", version=VERSION, description="images of Ohio", data_dir="./Ohio"),
+        datasets.BuilderConfig(name="Oklahoma", version=VERSION, description="images of Oklahoma", data_dir="./Oklahoma"),
+        datasets.BuilderConfig(name="Oregon", version=VERSION, description="images of Oregon", data_dir="./Oregon"),
+        datasets.BuilderConfig(name="Pennsylvania", version=VERSION, description="images of Pennsylvania", data_dir="./Pennsylvania"),
+        datasets.BuilderConfig(name="Rhode Island", version=VERSION, description="images of Rhode Island", data_dir="./Rhode Island"),
+        datasets.BuilderConfig(name="South Carolina", version=VERSION, description="images of South Carolina", data_dir="./South Carolina"),
+        datasets.BuilderConfig(name="South Dakota", version=VERSION, description="images of South Dakota", data_dir="./South Dakota"),
+        datasets.BuilderConfig(name="Tennessee", version=VERSION, description="images of Tennessee", data_dir="./Tennessee"),
+        datasets.BuilderConfig(name="Texas", version=VERSION, description="images of Texas", data_dir="./Texas"),
+        datasets.BuilderConfig(name="Utah", version=VERSION, description="images of Utah", data_dir="./Utah"),
+        datasets.BuilderConfig(name="Vermont", version=VERSION, description="images of Vermont", data_dir="./Vermont"),
+        datasets.BuilderConfig(name="Virginia", version=VERSION, description="images of Virginia", data_dir="./Virginia"),
+        datasets.BuilderConfig(name="Washington", version=VERSION, description="images of Washington", data_dir="./Washington"),
+        datasets.BuilderConfig(name="West Virginia", version=VERSION, description="images of West Virginia", data_dir="./West Virginia"),
+        datasets.BuilderConfig(name="Wisconsin", version=VERSION, description="images of Wisconsin", data_dir="./Wisconsin"),
+        datasets.BuilderConfig(name="Wyoming", version=VERSION, description="images of Wyoming", data_dir="./Wyoming"),
+    ]
+    
+
+    DEFAULT_CONFIG_NAME = "Alabama"  # It's not mandatory to have a default configuration. Just use one if it make sense.
+
+    def _info(self):
+        # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
+        # if self.config.name == "first_domain":  # This is the name of the configuration selected in BUILDER_CONFIGS above
+        #     features = datasets.Features(
+        #         {
+        #             "sentence": datasets.Value("string"),
+        #             "option1": datasets.Value("string"),
+        #             "answer": datasets.Value("string")
+        #             # These are the features of your dataset like images, labels ...
+        #         }
+        #     )
+        # else:  # This is an example to show how to have different features for "first_domain" and "second_domain"
+        #     features = datasets.Features(
+        #         {
+        #             "sentence": datasets.Value("string"),
+        #             "option2": datasets.Value("string"),
+        #             "second_domain_answer": datasets.Value("string")
+        #             # These are the features of your dataset like images, labels ...
+        #         }
+        #     )
+        features = datasets.Features(
+            {
+                "image0": datasets.Image(),
+                "image1": datasets.Image(),
+                "image2": datasets.Image(),
+                "image3": datasets.Image(),
+                "label": datasets.Value(dtype='string', id=None),
+            }
+        )
+        return datasets.DatasetInfo(
+            # This is the description that will appear on the datasets page.
+            description=_DESCRIPTION,
+            # This defines the different columns of the dataset and their types
+            features=features,  # Here we define them above because they are different between the two configurations
+            # If there's a common (input, target) tuple from the features, uncomment supervised_keys line below and
+            # specify them. They'll be used if as_supervised=True in builder.as_dataset.
+            # supervised_keys=("sentence", "label"),
+            # Homepage of the dataset for documentation
+            homepage=_HOMEPAGE,
+            # License for the dataset if available
+            license=_LICENSE,
+            # Citation for the dataset
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
+        # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
+
+        # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
+        # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
+        # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
+        urls = _URLS[self.config.name]
+
+        data_dir = dl_manager.download(urls)
+        print(f"\ndata_dir: {data_dir}")
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir),
+                    "split": "test",
+                },
+            ),
+        ]
+
+    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
+    def _generate_examples(self, filepath, split):
+        # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
+        # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
+        # print(f"filepath: {filepath}")
+        file_list = os.listdir(filepath)
+        file_list = list(map(lambda x: os.path.join(filepath, x), filter(lambda x: x.endswith('.jpg'), file_list)))
+        # print(f"len(file_list): {len(file_list)}")
+
+        assert len(file_list) % 4 == 0, "image number cannot divided by 4"
+        for i in range(0, len(file_list), 4):
+            batch_files = file_list[i:i+4]
+            yield i, {
+                "image0": {"path": os.path.join(filepath, batch_files[0])},
+                "image1": {"path": os.path.join(filepath, batch_files[1])},
+                "image2": {"path": os.path.join(filepath, batch_files[2])},
+                "image3": {"path": os.path.join(filepath, batch_files[3])},
+                "label": filepath.split('/')[-1],
+            }