Convert dataset to Parquet

README.dataset.txt

@@ -1,6 +0,0 @@
-# SunDetection > SunDatasetv1
-https://universe.roboflow.com/samuelm0422/sundetection-bwqjs
-
-Provided by a Roboflow user
-License: CC BY 4.0
-

README.md

@@ -4,7 +4,96 @@ task_categories:
 tags:
 - roboflow
 - roboflow2huggingface
-
+dataset_info:
+- config_name: full
+  features:
+  - name: image_id
+    dtype: int64
+  - name: image
+    dtype: image
+  - name: width
+    dtype: int32
+  - name: height
+    dtype: int32
+  - name: objects
+    sequence:
+    - name: id
+      dtype: int64
+    - name: area
+      dtype: int64
+    - name: bbox
+      sequence: float32
+      length: 4
+    - name: category
+      dtype:
+        class_label:
+          names:
+            '0': sun
+  splits:
+  - name: train
+    num_bytes: 116033440.923
+    num_examples: 4047
+  - name: validation
+    num_bytes: 10697357.0
+    num_examples: 374
+  - name: test
+    num_bytes: 5486934.0
+    num_examples: 184
+  download_size: 124477992
+  dataset_size: 132217731.923
+- config_name: mini
+  features:
+  - name: image_id
+    dtype: int64
+  - name: image
+    dtype: image
+  - name: width
+    dtype: int32
+  - name: height
+    dtype: int32
+  - name: objects
+    sequence:
+    - name: id
+      dtype: int64
+    - name: area
+      dtype: int64
+    - name: bbox
+      sequence: float32
+      length: 4
+    - name: category
+      dtype:
+        class_label:
+          names:
+            '0': sun
+  splits:
+  - name: train
+    num_bytes: 92832.0
+    num_examples: 3
+  - name: validation
+    num_bytes: 92832.0
+    num_examples: 3
+  - name: test
+    num_bytes: 92832.0
+    num_examples: 3
+  download_size: 292941
+  dataset_size: 278496.0
+configs:
+- config_name: full
+  data_files:
+  - split: train
+    path: full/train-*
+  - split: validation
+    path: full/validation-*
+  - split: test
+    path: full/test-*
+- config_name: mini
+  data_files:
+  - split: train
+    path: mini/train-*
+  - split: validation
+    path: mini/validation-*
+  - split: test
+    path: mini/test-*
 ---
 
 <div align="center">

README.roboflow.txt

@@ -1,35 +0,0 @@
-
-SunDetection - v1 SunDatasetv1
-==============================
-
-This dataset was exported via roboflow.com on April 10, 2025 at 4:19 PM GMT
-
-Roboflow is an end-to-end computer vision platform that helps you
-* collaborate with your team on computer vision projects
-* collect & organize images
-* understand and search unstructured image data
-* annotate, and create datasets
-* export, train, and deploy computer vision models
-* use active learning to improve your dataset over time
-
-For state of the art Computer Vision training notebooks you can use with this dataset,
-visit https://github.com/roboflow/notebooks
-
-To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
-
-The dataset includes 4605 images.
-Sun-3Qf4-ywwQ-sun are annotated in COCO format.
-
-The following pre-processing was applied to each image:
-* Auto-orientation of pixel data (with EXIF-orientation stripping)
-* Resize to 640x640 (Stretch)
-
-The following augmentation was applied to create 3 versions of each source image:
-* 50% probability of horizontal flip
-* 50% probability of vertical flip
-* Randomly crop between 0 and 20 percent of the image
-* Random rotation of between -15 and +15 degrees
-* Random shear of between -10° to +10° horizontally and -10° to +10° vertically
-* Random brigthness adjustment of between -15 and +15 percent
-
-

SunDataset.py

@@ -1,153 +0,0 @@
-import collections
-import json
-import os
-
-import datasets
-
-
-_HOMEPAGE = "https://universe.roboflow.com/samuelm0422/sundetection-bwqjs/dataset/1"
-_LICENSE = "CC BY 4.0"
-_CITATION = """\
-@misc{
-                            sundetection-bwqjs_dataset,
-                            title = { SunDetection Dataset },
-                            type = { Open Source Dataset },
-                            author = { SamuelM0422 },
-                            howpublished = { \\url{ https://universe.roboflow.com/samuelm0422/sundetection-bwqjs } },
-                            url = { https://universe.roboflow.com/samuelm0422/sundetection-bwqjs },
-                            journal = { Roboflow Universe },
-                            publisher = { Roboflow },
-                            year = { 2025 },
-                            month = { apr },
-                            note = { visited on 2025-04-10 },
-                            }
-"""
-_CATEGORIES = ['sun']
-_ANNOTATION_FILENAME = "_annotations.coco.json"
-
-
-class SUNDATASETConfig(datasets.BuilderConfig):
-    """Builder Config for SunDataset"""
-
-    def __init__(self, data_urls, **kwargs):
-        """
-        BuilderConfig for SunDataset.
-
-        Args:
-          data_urls: `dict`, name to url to download the zip file from.
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(SUNDATASETConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs)
-        self.data_urls = data_urls
-
-
-class SUNDATASET(datasets.GeneratorBasedBuilder):
-    """SunDataset object detection dataset"""
-
-    VERSION = datasets.Version("1.0.0")
-    BUILDER_CONFIGS = [
-        SUNDATASETConfig(
-            name="full",
-            description="Full version of SunDataset dataset.",
-            data_urls={
-                "train": "https://huggingface.co/datasets/SamuelM0422/SunDataset/resolve/main/data/train.zip",
-                "validation": "https://huggingface.co/datasets/SamuelM0422/SunDataset/resolve/main/data/valid.zip",
-                "test": "https://huggingface.co/datasets/SamuelM0422/SunDataset/resolve/main/data/test.zip",
-            },
-        ),
-        SUNDATASETConfig(
-            name="mini",
-            description="Mini version of SunDataset dataset.",
-            data_urls={
-                "train": "https://huggingface.co/datasets/SamuelM0422/SunDataset/resolve/main/data/valid-mini.zip",
-                "validation": "https://huggingface.co/datasets/SamuelM0422/SunDataset/resolve/main/data/valid-mini.zip",
-                "test": "https://huggingface.co/datasets/SamuelM0422/SunDataset/resolve/main/data/valid-mini.zip",
-            },
-        )
-    ]
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "image_id": datasets.Value("int64"),
-                "image": datasets.Image(),
-                "width": datasets.Value("int32"),
-                "height": datasets.Value("int32"),
-                "objects": datasets.Sequence(
-                    {
-                        "id": datasets.Value("int64"),
-                        "area": datasets.Value("int64"),
-                        "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
-                        "category": datasets.ClassLabel(names=_CATEGORIES),
-                    }
-                ),
-            }
-        )
-        return datasets.DatasetInfo(
-            features=features,
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-            license=_LICENSE,
-        )
-
-    def _split_generators(self, dl_manager):
-        data_files = dl_manager.download_and_extract(self.config.data_urls)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "folder_dir": data_files["train"],
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "folder_dir": data_files["validation"],
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "folder_dir": data_files["test"],
-                },
-            ),
-]
-
-    def _generate_examples(self, folder_dir):
-        def process_annot(annot, category_id_to_category):
-            return {
-                "id": annot["id"],
-                "area": annot["area"],
-                "bbox": annot["bbox"],
-                "category": category_id_to_category[annot["category_id"]],
-            }
-
-        image_id_to_image = {}
-        idx = 0
-
-        annotation_filepath = os.path.join(folder_dir, _ANNOTATION_FILENAME)
-        with open(annotation_filepath, "r") as f:
-            annotations = json.load(f)
-        category_id_to_category = {category["id"]: category["name"] for category in annotations["categories"]}
-        image_id_to_annotations = collections.defaultdict(list)
-        for annot in annotations["annotations"]:
-            image_id_to_annotations[annot["image_id"]].append(annot)
-        filename_to_image = {image["file_name"]: image for image in annotations["images"]}
-
-        for filename in os.listdir(folder_dir):
-            filepath = os.path.join(folder_dir, filename)
-            if filename in filename_to_image:
-                image = filename_to_image[filename]
-                objects = [
-                    process_annot(annot, category_id_to_category) for annot in image_id_to_annotations[image["id"]]
-                ]
-                with open(filepath, "rb") as f:
-                    image_bytes = f.read()
-                yield idx, {
-                    "image_id": image["id"],
-                    "image": {"path": filepath, "bytes": image_bytes},
-                    "width": image["width"],
-                    "height": image["height"],
-                    "objects": objects,
-                }
-                idx += 1

data/test.zip → full/test-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:06951134ac42c63bacfaf9258ea32228a0323ed0cd2175189ebe15ad06448ee4
-size 5365011
+oid sha256:15ec87b687222d96f7619f169c43eb2e13e698ebc6cb830b0134f19c8f15c175
+size 5481938

data/train.zip → full/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:32f325fe0d8e9a6b56c5b4d2c3cdca2d03dcf33a59f3b1d3698e550cb79c23c2
-size 105690953
+oid sha256:2118506290571a3d3479c7fd30abd7f1d17bda716c2a582a4aa6e65c7c446fda
+size 108323896

data/valid.zip → full/validation-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fc959c85fe2681cfe9fb4479f2ca56faa8fc4c5582ca5f4c62e84600de249edd
-size 10432336
+oid sha256:f8a0fbc0d5208b69ec1bb7abc9008ae75578fd0729be7cb463b199490f58e2e8
+size 10672158

data/valid-mini.zip → mini/test-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c2ce488419f925e6fd0e2e3d87660ace7bb4754ab6845c1be2e99ceb1b1a16e0
-size 66357
+oid sha256:d86105d162c48bf33525e3800d935f08fa4cf73cd064b56fcb3225a7200986eb
+size 97647

thumbnail.jpg → mini/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f73c22f10b7c306d132a852f19f842b1f7acc0d2257c189ac8dea20a673d7c9a
-size 112685
+oid sha256:d86105d162c48bf33525e3800d935f08fa4cf73cd064b56fcb3225a7200986eb
+size 97647

mini/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d86105d162c48bf33525e3800d935f08fa4cf73cd064b56fcb3225a7200986eb
+size 97647

split_name_to_num_samples.json

@@ -1 +0,0 @@
-{"valid": 374, "test": 184, "train": 4047}