Upload dataset_infos.json

dataset_infos.json

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+{"autoevaluate--mnist-sample": {
+    "description": "The MNIST dataset consists of 70,000 28x28 black-and-white images in 10 classes (one for each digits), with 7,000\nimages per class. There are 60,000 training images and 10,000 test images.\n",
+    "citation": "@article{lecun2010mnist,\n  title={MNIST handwritten digit database},\n  author={LeCun, Yann and Cortes, Corinna and Burges, CJ},\n  journal={ATT Labs [Online]. Available: http://yann.lecun.com/exdb/mnist},\n  volume={2},\n  year={2010}\n}\n",
+    "homepage": "http://yann.lecun.com/exdb/mnist/",
+    "license": "",
+    "features": {
+        "image": {
+            "decode": true,
+            "id": null,
+            "_type": "Image"
+        },
+        "label": {
+            "num_classes": 10,
+            "names": [
+                "0",
+                "1",
+                "2",
+                "3",
+                "4",
+                "5",
+                "6",
+                "7",
+                "8",
+                "9"
+            ],
+            "id": null,
+            "_type": "ClassLabel"
+        }
+    },
+    "post_processed": null,
+    "supervised_keys": {
+        "input": "image",
+        "output": "label"
+    },
+    "task_templates": [
+        {
+            "task": "image-classification",
+            "image_column": "image",
+            "label_column": "label"
+        }
+    ],
+    "builder_name": "mnist",
+    "config_name": "mnist",
+    "version": {
+        "version_str": "1.0.0",
+        "description": null,
+        "major": 1,
+        "minor": 0,
+        "patch": 0
+    },
+    "splits": {
+        "test": {
+            "name": "test",
+            "num_bytes": 28664.32,
+            "num_examples": 100,
+            "dataset_name": "mnist-sample"
+        }
+    },
+    "download_checksums": null,
+    "download_size": 26861,
+    "post_processing_size": null,
+    "dataset_size": 28664.32,
+    "size_in_bytes": 55525.32
+}}