Update metadata JSON for cats_vs_dogs dataset (#3752)

* Increase patch version of cats_vs_dogs dataset

* Update metadata JSON

* Rename dummy data directory

Commit from https://github.com/huggingface/datasets/commit/64703716c82f078d0e680cd8c600ebb4534f073b

cats_vs_dogs.py

@@ -44,6 +44,8 @@ _CITATION = """\
 
 
 class CatsVsDogs(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("0.0.1")
+
     def _info(self):
         return datasets.DatasetInfo(
             description=_DESCRIPTION,

dataset_infos.json

@@ -1 +1 @@
-{"default": {"description": "A large set of images of cats and dogs. There are 1738 corrupted images that are dropped.", "citation": "@Inproceedings (Conference){asirra-a-captcha-that-exploits-interest-aligned-manual-image-categorization,\n    author = {Elson, Jeremy and Douceur, John (JD) and Howell, Jon and Saul, Jared},\n    title = {Asirra: A CAPTCHA that Exploits Interest-Aligned Manual Image Categorization},\n    booktitle = {Proceedings of 14th ACM Conference on Computer and Communications Security (CCS)},\n    year = {2007},\n    month = {October},\n    publisher = {Association for Computing Machinery, Inc.},\n    url = {https://www.microsoft.com/en-us/research/publication/asirra-a-captcha-that-exploits-interest-aligned-manual-image-categorization/},\n    edition = {Proceedings of 14th ACM Conference on Computer and Communications Security (CCS)},\n}\n", "homepage": "https://www.microsoft.com/en-us/download/details.aspx?id=54765", "license": "", "features": {"image_file_path": {"dtype": "string", "id": null, "_type": "Value"}, "image": {"id": null, "_type": "Image"}, "labels": {"num_classes": 2, "names": ["cat", "dog"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": {"input": "image", "output": "labels"}, "task_templates": [{"task": "image-classification", "image_column": "image", "label_column": "labels", "labels": ["cat", "dog"]}], "builder_name": "cats_vs_dogs", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 7503250, "num_examples": 23422, "dataset_name": "cats_vs_dogs"}}, "download_checksums": {"https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_3367a.zip": {"num_bytes": 824894548, "checksum": "f9553e426bd725354ed3a27e3c6920caadb55c835d1ebd880d2e56d3f1fbb22b"}}, "download_size": 824894548, "post_processing_size": null, "dataset_size": 7503250, "size_in_bytes": 832397798}}
+{"default": {"description": "A large set of images of cats and dogs. There are 1738 corrupted images that are dropped.", "citation": "@Inproceedings (Conference){asirra-a-captcha-that-exploits-interest-aligned-manual-image-categorization,\n    author = {Elson, Jeremy and Douceur, John (JD) and Howell, Jon and Saul, Jared},\n    title = {Asirra: A CAPTCHA that Exploits Interest-Aligned Manual Image Categorization},\n    booktitle = {Proceedings of 14th ACM Conference on Computer and Communications Security (CCS)},\n    year = {2007},\n    month = {October},\n    publisher = {Association for Computing Machinery, Inc.},\n    url = {https://www.microsoft.com/en-us/research/publication/asirra-a-captcha-that-exploits-interest-aligned-manual-image-categorization/},\n    edition = {Proceedings of 14th ACM Conference on Computer and Communications Security (CCS)},\n}\n", "homepage": "https://www.microsoft.com/en-us/download/details.aspx?id=54765", "license": "", "features": {"image_file_path": {"dtype": "string", "id": null, "_type": "Value"}, "image": {"decode": true, "id": null, "_type": "Image"}, "labels": {"num_classes": 2, "names": ["cat", "dog"], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": {"input": "image", "output": "labels"}, "task_templates": [{"task": "image-classification", "image_column": "image", "label_column": "labels"}], "builder_name": "cats_vs_dogs", "config_name": "default", "version": {"version_str": "0.0.1", "description": null, "major": 0, "minor": 0, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 7590150, "num_examples": 23410, "dataset_name": "cats_vs_dogs"}}, "download_checksums": {"https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_3367a.zip": {"num_bytes": 824894548, "checksum": "f9553e426bd725354ed3a27e3c6920caadb55c835d1ebd880d2e56d3f1fbb22b"}}, "download_size": 824894548, "post_processing_size": null, "dataset_size": 7590150, "size_in_bytes": 832484698}}