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README.md

@@ -1,36 +1,32 @@
----
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: label
-    dtype:
-      class_label:
-        names:
-          '0': laptop
-          '1': refrigerator
-          '2': smartphone
-          '3': tv
-          '4': washing_machine
-  splits:
-  - name: train
-    num_bytes: 5464395
-    num_examples: 94
-  - name: validation
-    num_bytes: 1415311
-    num_examples: 18
-  - name: test
-    num_bytes: 1197581
-    num_examples: 26
-  download_size: 8088262
-  dataset_size: 8077287
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
----
+---
+license: mit
+task_categories:
+- image-classification
+tags:
+- image-classification
+- appliances
+pretty_name: ImClass Dataset
+---
+
+# ImClass Dataset
+
+Датасет для классификации изображений бытовой техники.
+
+## Классы
+
+- laptop
+- refrigerator
+- smartphone
+- tv
+- washing_machine
+
+## Сплиты
+
+train, validation, test (train: 94 изображений)
+
+## Загрузка
+
+```python
+from datasets import load_dataset
+ds = load_dataset("GBooster/imclass-dataset")
+```