Updated from Kili: v1.2.0

dataset_infos.json

@@ -1 +1 @@
-{"default": {"description": "\n    This dataset contains photos of rivers on which there may be waste. The waste items are annotated\n    through bounding boxes, and are assigned to one of the 4 following categories: plastic bottle, plastic bag,\n    another plastic waste, or non-plastic waste. Note that some photos may not contain any waste.\n", "citation": "", "homepage": "", "license": "", "features": {"image": {"decode": true, "id": null, "_type": "Image"}, "litter": {"feature": {"label": {"num_classes": 4, "names": ["PLASTIC_BAG", "PLASTIC_BOTTLE", "OTHER_PLASTIC_WASTE", "NOT_PLASTIC_WASTE"], "names_file": null, "id": null, "_type": "ClassLabel"}, "bbox": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": 4, "id": null, "_type": "Sequence"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "plastic_in_river", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2290750144, "num_examples": 1968, "dataset_name": "plastic_in_river"}, "test": {"name": "test", "num_bytes": 282085933, "num_examples": 246, "dataset_name": "plastic_in_river"}, "validation": {"name": "validation", "num_bytes": 281862166, "num_examples": 246, "dataset_name": "plastic_in_river"}}, "download_checksums": {"https://storage.googleapis.com/kili-datasets-public/plastic-in-river/v1.1.0/train/images.tar.gz": {"num_bytes": 581689701, "checksum": "8aa3448a866b4901cf3d93c6cdee75eadfb72cf1cde0baab2f14665fb07010b0"}, "https://storage.googleapis.com/kili-datasets-public/plastic-in-river/v1.1.0/train/annotations.tar.gz": {"num_bytes": 323161, "checksum": "18ca1cee3376379b5739336b5dd21e3d10d0a6e93cb5ec843ce6d3dce3538eaa"}, "https://storage.googleapis.com/kili-datasets-public/plastic-in-river/v1.1.0/validation/images.tar.gz": {"num_bytes": 71678881, "checksum": "8ba688ab2c0826a2aab9eb42fc3c91878c041dc3c94218365916a4bf2e6c73be"}, "https://storage.googleapis.com/kili-datasets-public/plastic-in-river/v1.1.0/validation/annotations.tar.gz": {"num_bytes": 42467, "checksum": "cb0d4c5b018b6fe53d42b339c40dc0e8357ec9ffbd46651b87f94d27152f3d0f"}, "https://storage.googleapis.com/kili-datasets-public/plastic-in-river/v1.1.0/test/images.tar.gz": {"num_bytes": 72133335, "checksum": "79cdc596bea32f3ed2e550e777260de47e693bb82c4cb069dde8aec478271943"}, "https://storage.googleapis.com/kili-datasets-public/plastic-in-river/v1.1.0/test/annotations.tar.gz": {"num_bytes": 26574, "checksum": "2bbb1c632f97adcb1d0a211607354bebdaa3d04f4e864e1d56b21316d11d090f"}}, "download_size": 725894119, "post_processing_size": null, "dataset_size": 2854698243, "size_in_bytes": 3580592362}}
+{"default": {"description": "\n    This dataset contains photos of rivers on which there may be waste. The waste items are annotated\n    through bounding boxes, and are assigned to one of the 4 following categories: plastic bottle, plastic bag,\n    another plastic waste, or non-plastic waste. Note that some photos may not contain any waste.\n", "citation": "", "homepage": "", "license": "", "features": {"image": {"decode": true, "id": null, "_type": "Image"}, "litter": {"feature": {"label": {"num_classes": 4, "names": ["PLASTIC_BAG", "PLASTIC_BOTTLE", "OTHER_PLASTIC_WASTE", "NOT_PLASTIC_WASTE"], "names_file": null, "id": null, "_type": "ClassLabel"}, "bbox": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": 4, "id": null, "_type": "Sequence"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "plastic_in_river", "config_name": "default", "version": {"version_str": "1.2.0", "description": null, "major": 1, "minor": 2, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 0, "num_examples": 0, "dataset_name": "plastic_in_river"}, "test": {"name": "test", "num_bytes": 0, "num_examples": 0, "dataset_name": "plastic_in_river"}, "validation": {"name": "validation", "num_bytes": 0, "num_examples": 0, "dataset_name": "plastic_in_river"}}, "download_checksums": {"https://storage.googleapis.com/kili-datasets-public/plastic-in-river/v1.2.0/train/images.tar.gz": {"num_bytes": 29, "checksum": "65d8d6fbd494f974a2ffc5adc8c152b536671c2285cc3a8d04aa14cef1b3bee4"}, "https://storage.googleapis.com/kili-datasets-public/plastic-in-river/v1.2.0/train/annotations.tar.gz": {"num_bytes": 151, "checksum": "78a9d6ff1bad0da0642a09b2b19797cbf6ead52609934e0c704a3c03d73f7a3a"}, "https://storage.googleapis.com/kili-datasets-public/plastic-in-river/v1.2.0/validation/images.tar.gz": {"num_bytes": 29, "checksum": "246996c03542206fc913fe16d6eb4426ef93c831b8c4b8a0aba2f82559fbb5e6"}, "https://storage.googleapis.com/kili-datasets-public/plastic-in-river/v1.2.0/validation/annotations.tar.gz": {"num_bytes": 151, "checksum": "b6668087f4031af7ad479afd092aea4d6323510cc2b0ed77121ff395347af461"}, "https://storage.googleapis.com/kili-datasets-public/plastic-in-river/v1.2.0/test/images.tar.gz": {"num_bytes": 29, "checksum": "74810fe70c33747fbb251e3741ffd87f31e3efe97d2507ac618e73c0ca6528ba"}, "https://storage.googleapis.com/kili-datasets-public/plastic-in-river/v1.2.0/test/annotations.tar.gz": {"num_bytes": 151, "checksum": "426f761325ca00f8c70091a4d333fe094f5b09e6fbdb1f5e2aa7c71c3cea2cf8"}}, "download_size": 540, "post_processing_size": null, "dataset_size": 0, "size_in_bytes": 540}}

plastic_in_river.py

@@ -30,7 +30,7 @@ _URLS = {
 class PlasticInRiver(datasets.GeneratorBasedBuilder):
     """Download script for the Plastic In River dataset"""
 
-    VERSION = datasets.Version("1.1.0")
+    VERSION = datasets.Version("1.2.0")
 
     def _info(self):
         features = datasets.Features(