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README.md

@@ -1,84 +1,54 @@
 ---
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: width
-    dtype: int64
-  - name: height
-    dtype: int64
-  - name: yolo_annotation
-    struct:
-    - name: bbox
-      sequence:
-        sequence: float32
-    - name: category
-      sequence: string
-  - name: coco_annotation
-    struct:
-    - name: image_id
-      dtype: int64
-    - name: annotations
-      sequence:
-      - name: id
-        dtype: int64
-      - name: image_id
-        dtype: int64
-      - name: category_id
-        dtype: int64
-      - name: bbox
-        sequence: float32
-      - name: area
-        dtype: float32
-      - name: iscrowd
-        dtype: int64
-  - name: pascal_voc_annotation
-    struct:
-    - name: filename
-      dtype: string
-    - name: size
-      struct:
-      - name: width
-        dtype: int64
-      - name: height
-        dtype: int64
-      - name: depth
-        dtype: int64
-    - name: objects
-      sequence:
-      - name: name
-        dtype: string
-      - name: difficult
-        dtype: int64
-      - name: bbox
-        struct:
-        - name: xmin
-          dtype: int64
-        - name: ymin
-          dtype: int64
-        - name: xmax
-          dtype: int64
-        - name: ymax
-          dtype: int64
-  splits:
-  - name: train
-    num_bytes: 528773942.84
-    num_examples: 1404
-  - name: val
-    num_bytes: 75457366.0
-    num_examples: 201
-  - name: test
-    num_bytes: 151610973.0
-    num_examples: 402
-  download_size: 755721010
-  dataset_size: 755842281.8399999
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: val
-    path: data/val-*
-  - split: test
-    path: data/test-*
+annotations_creators:
+- expert-generated
+language_creators:
+- found
+language:
+- en
+license:
+- cc-by-4.0
+multilinguality:
+- monolingual
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- object-detection
+- planetary-science
+task_ids:
+- object-detection
+pretty_name: dust-devil-detection
 ---
+
+# dust-devil-detection Dataset
+
+An object detection dataset in YOLO format containing 3 splits: train, val, test.
+
+## Dataset Metadata
+
+* **License:** CC-BY-4.0 (Creative Commons Attribution 4.0 International)
+* **Version:** 1.0
+* **Date Published:** 2025-05-09
+* **Cite As:** TBD
+
+## Dataset Details
+
+- Format: YOLO
+- Splits: train, val, test
+
+- Classes: dust_devil
+
+## Additional Formats
+
+- Includes COCO format annotations
+- Includes Pascal VOC format annotations
+
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("gremlin97/dust-devil-detection")
+```