Delete dataset_script.py

dataset_script.py

@@ -1,64 +0,0 @@
-
-import os
-import tarfile
-from pathlib import Path
-
-import datasets
-
-_DESCRIPTION = """
-Multimodal Street-level Place Recognition Dataset (Resized version).
-This dataset consists of downscaled images, video frames, and associated annotations,
-captured in a pedestrian-oriented urban environment.
-"""
-
-_CITATION = """
-@inproceedings{your_neurips_submission,
-  title={Multimodal Street-level Place Recognition Dataset},
-  author={Ou, Yiwei},
-  year={2025},
-  booktitle={NeurIPS Datasets and Benchmarks Track}
-}
-"""
-
-_HOMEPAGE = "https://huggingface.co/datasets/Yiwei-Ou/Multimodal_Street-level_Place_Recognition_Dataset"
-
-_LICENSE = "cc-by-4.0"
-
-class MultimodalPlaceRecognitionDataset(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("1.0.0")
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features({
-                "image_path": datasets.Value("string"),
-                "label": datasets.Value("string"),
-            }),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-            license=_LICENSE,
-        )
-
-    def _split_generators(self, dl_manager):
-        archive_path = dl_manager.download_and_extract("https://huggingface.co/datasets/Yiwei-Ou/Multimodal_Street-level_Place_Recognition_Dataset/resolve/main/Annotated_Resized.tar.gz")
-        data_dir = os.path.join(archive_path, "Annotated_Resized")
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"data_dir": data_dir},
-            )
-        ]
-
-    def _generate_examples(self, data_dir):
-        id_ = 0
-        for root, _, files in os.walk(data_dir):
-            for file_name in files:
-                if file_name.lower().endswith((".jpg", ".jpeg", ".png")):
-                    label = Path(root).name  # folder name is label
-                    yield id_, {
-                        "image_path": os.path.join(root, file_name),
-                        "label": label,
-                    }
-                    id_ += 1