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Test_Dataset.py

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+import datasets
+import pathlib
+import pandas as pd
+
+# Dataset Info
+
+_HOMEPAGE = 'https://github.com/deepc94/685-project.git'
+
+_VERSION = '1.0.0'
+
+_LICENSE = '''
+MIT License
+
+Copyright (c) 2023 Prateek Agarwal, Lakshita Bhargava, Deep Chakraborty, Kartik Choudhary
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+'''
+
+_CITATION = '''
+@misc{agarwal2022taller,
+      title={Taller, Stronger, Sharper: Probing Comparative Reasoning Abilities of Vision-Language Models}, 
+      author={Prateek Agarwal and Lakshita Bhargava and Deep Chakraborty and Kartik Choudhary},
+      year={2023}
+}
+'''
+
+_DESCRIPTION = '''Dataset for NLP Course final project.
+'''
+
+_REPO = 'https://huggingface.co/datasets/kartik727/Test_Dataset'
+
+_BASE_URL = 'data.zip'
+
+_IMG_DIR = 'data'
+
+_METADATA_URLS = {
+    'train': 'metadata/train.csv'
+}
+
+class Dataset(datasets.GeneratorBasedBuilder):
+    '''Dataset for NLP Course final project'''
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    'image' : datasets.Image(),
+                    'adjective' : datasets.Value('string'),
+                    'antonym' : datasets.Value('string'),
+                    'negative' : datasets.Value('string')
+                }
+            ),
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+            license=_LICENSE,
+            version=_VERSION
+        )
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager):
+        archive_path = dl_manager.download(_BASE_URL)
+        split_metadata_paths = dl_manager.download(_METADATA_URLS)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    'images': dl_manager.iter_archive(archive_path),
+                    'metadata_path': split_metadata_paths['train'],
+                    'split': 'train'
+                },
+            )
+        ]
+
+    def _generate_examples(self, images, metadata_path, split):
+        '''Generate images and labels for splits.'''
+
+        # read the metadata csv file into a dictionary
+        metadata = pd.read_csv(metadata_path, index_col=0).to_dict(orient='index')
+
+        for file_path, file_obj in images:
+            
+            # break the file path into its parts
+            file_path_parts = pathlib.Path(file_path).parts
+
+            # load the correct directory
+            if (file_path_parts[0]==_IMG_DIR) and (file_path_parts[1]==split):
+
+                # load the metadata for the image (if it exists)
+                filename = file_path_parts[2]
+                if filename in metadata:
+                    yield file_path, {
+                        'image': {'path': file_path, 'bytes': file_obj.read()},
+                        'adjective': metadata[filename]['adjective'],
+                        'antonym': metadata[filename]['antonym'],
+                        'negative': metadata[filename]['negative']
+                    }

data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:324cf5a8d03213a1098814be69328308fa6b833412c1689c5f60fcc5d10cc530
+size 76640514