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README.md

@@ -18,126 +18,11 @@ task_categories:
 task_ids:
 - instance-segmentation
 pretty_name: mb-dust_devil_det
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: val
-    path: data/val-*
-  - split: test
-    path: data/test-*
-  - split: 0.01x_partition
-    path: data/0.01x_partition-*
-  - split: 0.02x_partition
-    path: data/0.02x_partition-*
-  - split: 0.50x_partition
-    path: data/0.50x_partition-*
-  - split: 0.20x_partition
-    path: data/0.20x_partition-*
-  - split: 0.05x_partition
-    path: data/0.05x_partition-*
-  - split: 0.10x_partition
-    path: data/0.10x_partition-*
-  - split: 0.25x_partition
-    path: data/0.25x_partition-*
-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: 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: 529481248.376
-    num_examples: 1404
-  - name: val
-    num_bytes: 75454510.0
-    num_examples: 201
-  - name: test
-    num_bytes: 151605261.0
-    num_examples: 402
-  - name: 0.01x_partition
-    num_bytes: 232421771.0
-    num_examples: 617
-  - name: 0.02x_partition
-    num_bytes: 237565511.0
-    num_examples: 631
-  - name: 0.50x_partition
-    num_bytes: 494132661.72
-    num_examples: 1305
-  - name: 0.20x_partition
-    num_bytes: 332958283.0
-    num_examples: 883
-  - name: 0.05x_partition
-    num_bytes: 253957990.0
-    num_examples: 673
-  - name: 0.10x_partition
-    num_bytes: 280281184.0
-    num_examples: 743
-  - name: 0.25x_partition
-    num_bytes: 360783089.0
-    num_examples: 954
-  download_size: 2946008288
-  dataset_size: 2948641509.0959997
 ---
 
 # mb-dust_devil_det Dataset
 
-An object detection dataset in YOLO format containing 3 splits: train, val, test.
+An object detection dataset in YOLO format containing 10 splits: train, val, test, 0.01x_partition, 0.02x_partition, 0.50x_partition, 0.20x_partition, 0.05x_partition, 0.10x_partition, 0.25x_partition.
 
 ## Dataset Metadata
 
@@ -149,9 +34,18 @@ An object detection dataset in YOLO format containing 3 splits: train, val, test
 ## Dataset Details
 
 - Format: YOLO
-- Splits: train, val, test
+- Splits: train, val, test, 0.01x_partition, 0.02x_partition, 0.50x_partition, 0.20x_partition, 0.05x_partition, 0.10x_partition, 0.25x_partition
 
-- Classes: dustdevil
+## Partitions
+
+This dataset includes the following partitions:
+- 0.01x_partition: Available as a single split named '0.01x_partition'
+- 0.02x_partition: Available as a single split named '0.02x_partition'
+- 0.50x_partition: Available as a single split named '0.50x_partition'
+- 0.20x_partition: Available as a single split named '0.20x_partition'
+- 0.05x_partition: Available as a single split named '0.05x_partition'
+- 0.10x_partition: Available as a single split named '0.10x_partition'
+- 0.25x_partition: Available as a single split named '0.25x_partition'
 
 ## Additional Formats
 
@@ -164,5 +58,9 @@ An object detection dataset in YOLO format containing 3 splits: train, val, test
 ```python
 from datasets import load_dataset
 
+# Load the main dataset
 dataset = load_dataset("Mirali33/mb-dust_devil_det")
+
+# Load a specific partition
+partition_dataset = load_dataset("Mirali33/mb-dust_devil_det", "0.05x_partition")
 ```