Create dataset_info.json

dataset_info.json

@@ -0,0 +1,89 @@
+{
+"plain_text": {
+"description": "The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images\nper class. There are 50000 training images and 10000 test images.\n",
+"citation": "@TECHREPORT{Krizhevsky09learningmultiple,\n author = {Alex Krizhevsky},\n title = {Learning multiple layers of features from tiny images},\n institution = {},\n year = {2009}\n}\n",
+"homepage": "https://www.cs.toronto.edu/~kriz/cifar.html",
+"license": "",
+"features": {
+"img": {
+"id": null,
+"_type": "Image"
+},
+"label": {
+"num_classes": 10,
+"names": [
+"airplane",
+"automobile",
+"bird",
+"cat",
+"deer",
+"dog",
+"frog",
+"horse",
+"ship",
+"truck"
+],
+"names_file": null,
+"id": null,
+"_type": "ClassLabel"
+}
+},
+"post_processed": null,
+"supervised_keys": {
+"input": "img",
+"output": "label"
+},
+"task_templates": [
+{
+"task": "image-classification",
+"image_column": "img",
+"label_column": "label",
+"labels": [
+"airplane",
+"automobile",
+"bird",
+"cat",
+"deer",
+"dog",
+"frog",
+"horse",
+"ship",
+"truck"
+]
+}
+],
+"builder_name": "cifar10",
+"config_name": "plain_text",
+"version": {
+"version_str": "1.0.0",
+"description": "",
+"major": 1,
+"minor": 0,
+"patch": 0
+},
+"splits": {
+"train": {
+"name": "train",
+"num_bytes": 113854600,
+"num_examples": 50000,
+"dataset_name": "cifar10"
+},
+"test": {
+"name": "test",
+"num_bytes": 22772838,
+"num_examples": 10000,
+"dataset_name": "cifar10"
+}
+},
+"download_checksums": {
+"https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz": {
+"num_bytes": 170498071,
+"checksum": "6d958be074577803d12ecdefd02955f39262c83c16fe9348329d7fe0b5c001ce"
+}
+},
+"download_size": 170498071,
+"post_processing_size": null,
+"dataset_size": 136627438,
+"size_in_bytes": 307125509
+}
+}