Upload EZPass-Dataset.py

EZPass-Dataset.py

@@ -0,0 +1,95 @@
+# 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
+"""SQUAD: The Stanford Question Answering Dataset."""
+
+
+import json
+
+import datasets
+from datasets.tasks import QuestionAnsweringExtractive
+
+
+logger = datasets.logging.get_logger(__name__)
+
+
+_CITATION = """\
+@article{2016arXiv160605250R,
+       author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},
+                 Konstantin and {Liang}, Percy},
+        title = "{SQuAD: 100,000+ Questions for Machine Comprehension of Text}",
+      journal = {arXiv e-prints},
+         year = 2016,
+          eid = {arXiv:1606.05250},
+        pages = {arXiv:1606.05250},
+archivePrefix = {arXiv},
+       eprint = {1606.05250},
+}
+"""
+
+_DESCRIPTION = """\
+"""
+
+_URL = "https://huggingface.co/datasets/joemaatouk/EZPass-Dataset/resolve/main/EZPass-images.tar.gz"
+descriptions =[{"text": "{\"header\": {\"to\": \"FEITH SYSTEMS AND SOFTWARE\",\"billing_address\": \"425 MARYLAND DR FT WASHINGTON PA 19034-2501\",\"invoice_number\": \"127806097-1\", \"account_number\": \"5526331\", \"invoice_date\": \"08/21/2023\", \"license_plate\": \"PA-KMB5413\", \"payment_due\": \"$42.40\", \"payment_due_date\": \"09/11/2023\", \"invoice_no\": \"127806097\",\"amount_due\": \"$42.40\",\"invoice_date\": \"09/11/2023\",\"account_number\": \"5526331\",}}"},
+{"text": "{\"header\": {\"to\": \"FEITH SYSTEMS AND SOFTWARE\",\"billing_address\": \"425 MARYLAND DR FT WASHINGTON PA 19034-2501\",\"mailing_number\": \"B1531128696669\", \"mailing_date\": \"06/29/2023\",\"NOTD_amount_due\": \"$6.00\",\"by\": \"07/31/2023\", \"toll_amount_due\": \"$6.00\", \"video_toll_transaction_number\": \"B1531128696669-00001\", \"state/license_plate\": \"PA/LSY0217\", \"location_toll\": \"Baltimore City I-95 Fort McHenry Tunnel\", \"exit_date_and_time_of_toll\": \"10/11/2022 05:40:51 PM\"}"},
+{"text": "{\"header\": {\"to\": \"FEITH SYSTEMS AND SOFTWARE\",\"billing_address\": \"425 MARYLAND DR FT WASHINGTON PA 19034-2501\",\"mailing_number\": \"B1531123158574\", \"mailing_date\": \"09/21/2022\",\"NOTD_amount_due\": \"$6.00\",\"by\": \"08/31/2022\", \"toll_amount_due\": \"$6.00\", \"video_toll_transaction_number\": \"B1531123158574-00001\", \"state/license_plate\": \"PA/LDJ1110\", \"location_toll\": \"Baltimore City I-95 Fort McHenry Tunnel\", \"exit_date_and_time_of_toll\": \"02/09/2021 09:55:37 AM\"}"},
+{"text": "{\"header\": {\"to\": \"FEITH SYSTEMS AND SOFTWARE\",\"billing_address\": \"425 MARYLAND DR FT WASHINGTON PA 19034-2501\",\"invoice_number\": \"120691145-1\", \"account_number\": \"1214734\", \"invoice_date\": \"09/23/2022\", \"license_plate\": \"PA-LDJ1110\", \"payment_due\": \"$8.70\", \"payment_due_date\": \"10/13/2022\", \"invoice_no\": \"120691145-1\",\"amount_due\": \"$8.70\",\"invoice_date\": \"09/23/2022\",\"account_number\": \"1214737\",}}"},
+{"text": "{\"header\": {\"to\": \"FEITH SYSTEMS AND SOFTWARE\",\"billing_address\": \"425 MARYLAND DR FT WASHINGTON PA 19034-2501\",\"invoice_number\": \"120691145-1\", \"account_number\": \"1214734\", \"invoice_date\": \"09/23/2022\", \"license_plate\": \"PA-LDJ1110\", \"payment_due\": \"$8.70\", \"payment_due_date\": \"10/13/2022\", \"invoice_no\": \"120691145-1\",\"amount_due\": \"$8.70\",\"invoice_date\": \"09/23/2022\",\"account_number\": \"1214737\",}}"},
+{"text": "{\"header\": {\"to\": \"FEITH SYSTEMS AND SOFTWARE\",\"billing_address\": \"425 MARYLAND DR FT WASHINGTON PA 19034-2501\",\"invoice_number\": \"112580557-1\", \"account_number\": \"1214734\", \"license_plate\": \"PA-LSY0217\", \"invoice_date\": \"09/23/21\",\"toll_charges\": \"$0.00\", \"patments\": \"$0.00\",\"adjustments\": \"$0.00\",\"fees\": \"$0.00\",\"payment_due\": \"$6.00\", \"payment_due_date\": \"10/13/2021\", \"invoice_no\": \"112580557-1\",\"amount_due\": \"$6.00\",\"payment_due_date\": \"10/13/2021\",\"account_number\": \"1214734\",}}"},
+]
+
+class EZPassTargz(datasets.GeneratorBasedBuilder):
+    """SQUAD: The Stanford Question Answering Dataset. Version 1.1."""
+    
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                    "image": datasets.Image(),
+                    
+                }
+            ),
+            # No default supervised_keys (as we have to pass both question
+            # and context as input).
+            supervised_keys=None,
+            homepage="https://hugginface.co/datasets/joemaatouk/EZPass-Dataset/",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        path = dl_manager.download(_URL)
+        image_iters = dl_manager.iter_archive(path)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN, 
+                gen_kwargs={"images": image_iters}),
+        ]
+
+    def _generate_examples(self, images):
+        """This function returns the examples in the raw (text) form."""
+        idx = 0
+        #iterate through the images
+        for filepath, image in images:
+            #extract the text from the filename
+            yield idx,{
+                "image":{"filepath": filepath,"image":image.read()},
+                "ground_truth": descriptions[idx]
+            }
+            idx+=1