Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -50,13 +50,20 @@ dataset_info:
             '4': Mask
   splits:
   - name: train
-    num_bytes: 240481257
+    num_bytes: 240463364.0
     num_examples: 1000
   - name: test
-    num_bytes: 4172715
+    num_bytes: 4172164.0
     num_examples: 29
-  download_size: 238482705
-  dataset_size: 244653972
+  download_size: 241152653
+  dataset_size: 244635528.0
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: test
+    path: data/test-*
 ---
 
 # Dataset Card for CPPE - 5

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ba7343d525f53dab1e84e0c5a86087960cb739e697b74d60b84bd28253e84740
+size 4137134

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:65f603cc9b482a529496acf0018b93590243d3cfc15b40e6e858dde8284dadd6
+size 237015519

dataset_infos.json

@@ -1 +1,82 @@
-{"default": {"description": "CPPE - 5 (Medical Personal Protective Equipment) is a new challenging dataset with the goal\nto allow the study of subordinate categorization of medical personal protective equipments,\nwhich is not possible with other popular data sets that focus on broad level categories.\n", "citation": "@misc{dagli2021cppe5,\n      title={CPPE-5: Medical Personal Protective Equipment Dataset},\n      author={Rishit Dagli and Ali Mustufa Shaikh},\n      year={2021},\n      eprint={2112.09569},\n      archivePrefix={arXiv},\n      primaryClass={cs.CV}\n}\n", "homepage": "https://sites.google.com/view/cppe5", "license": "Unknown", "features": {"image_id": {"dtype": "int64", "id": null, "_type": "Value"}, "image": {"id": null, "_type": "Image"}, "width": {"dtype": "int32", "id": null, "_type": "Value"}, "height": {"dtype": "int32", "id": null, "_type": "Value"}, "objects": {"feature": {"id": {"dtype": "int64", "id": null, "_type": "Value"}, "area": {"dtype": "int64", "id": null, "_type": "Value"}, "bbox": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": 4, "id": null, "_type": "Sequence"}, "category": {"num_classes": 5, "names": ["Coverall", "Face_Shield", "Gloves", "Goggles", "Mask"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "cppe5", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 240481281, "num_examples": 1000, "dataset_name": "cppe5"}, "test": {"name": "test", "num_bytes": 4172739, "num_examples": 29, "dataset_name": "cppe5"}}, "download_checksums": {"https://drive.google.com/uc?id=1MGnaAfbckUmigGUvihz7uiHGC6rBIbvr": {"num_bytes": 238482705, "checksum": "1151086e59fcb87825ecf4d362847a3f023ba69e7ace0f513d5aadc0e3dd3094"}}, "download_size": 238482705, "post_processing_size": null, "dataset_size": 244654020, "size_in_bytes": 483136725}}
+{
+    "default": {
+        "description": "CPPE - 5 (Medical Personal Protective Equipment) is a new challenging dataset with the goal\nto allow the study of subordinate categorization of medical personal protective equipments,\nwhich is not possible with other popular data sets that focus on broad level categories.\n",
+        "citation": "@misc{dagli2021cppe5,\n      title={CPPE-5: Medical Personal Protective Equipment Dataset},\n      author={Rishit Dagli and Ali Mustufa Shaikh},\n      year={2021},\n      eprint={2112.09569},\n      archivePrefix={arXiv},\n      primaryClass={cs.CV}\n}\n",
+        "homepage": "https://sites.google.com/view/cppe5",
+        "license": "Unknown",
+        "features": {
+            "image_id": {
+                "dtype": "int64",
+                "_type": "Value"
+            },
+            "image": {
+                "_type": "Image"
+            },
+            "width": {
+                "dtype": "int32",
+                "_type": "Value"
+            },
+            "height": {
+                "dtype": "int32",
+                "_type": "Value"
+            },
+            "objects": {
+                "feature": {
+                    "id": {
+                        "dtype": "int64",
+                        "_type": "Value"
+                    },
+                    "area": {
+                        "dtype": "int64",
+                        "_type": "Value"
+                    },
+                    "bbox": {
+                        "feature": {
+                            "dtype": "float32",
+                            "_type": "Value"
+                        },
+                        "length": 4,
+                        "_type": "Sequence"
+                    },
+                    "category": {
+                        "names": [
+                            "Coverall",
+                            "Face_Shield",
+                            "Gloves",
+                            "Goggles",
+                            "Mask"
+                        ],
+                        "_type": "ClassLabel"
+                    }
+                },
+                "_type": "Sequence"
+            }
+        },
+        "builder_name": "cppe-5",
+        "dataset_name": "cppe-5",
+        "config_name": "default",
+        "version": {
+            "version_str": "1.0.0",
+            "major": 1,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 240463364.0,
+                "num_examples": 1000,
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 4172164.0,
+                "num_examples": 29,
+                "dataset_name": null
+            }
+        },
+        "download_size": 241152653,
+        "dataset_size": 244635528.0,
+        "size_in_bytes": 485788181.0
+    }
+}