axiong commited on
Commit
7bd290d
1 Parent(s): 5458f75

Convert dataset to Parquet (#2)

Browse files

- Convert dataset to Parquet (63ce28766ac75959495dbec36d8caf477df8f6cf)
- Delete data file (7b5d4d73abce5d1d934f732377b9f8932b76c742)
- Delete data file (77dd30b5d8bb1ff5a951b7e2d4aaa984f3390c05)
- Delete loading script (f4be3aeec67c5214a04365c388ea9d1fc4b74f36)
- Delete data file (a2bdc7216fd2825fa268bd474d8204514a681482)

README.md CHANGED
@@ -1,3 +1,24 @@
1
  ---
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  license: mit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
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  ---
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  license: mit
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+ dataset_info:
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+ config_name: test
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+ features:
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+ - name: image
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+ dtype: image
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+ - name: wnid
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+ dtype: string
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+ - name: class_name
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+ dtype: string
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+ splits:
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+ - name: test
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+ num_bytes: 2355062808.0
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+ num_examples: 30000
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+ download_size: 2148902579
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+ dataset_size: 2355062808.0
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+ configs:
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+ - config_name: test
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+ data_files:
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+ - split: test
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+ path: test/test-*
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+ default: true
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  ---
classes.json DELETED
@@ -1,4 +0,0 @@
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- {
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- "imagenet_r_wnids": ["n01443537", "n01484850", "n01494475", "n01498041", "n01514859", "n01518878", "n01531178", "n01534433", "n01614925", "n01616318", "n01630670", "n01632777", "n01644373", "n01677366", "n01694178", "n01748264", "n01770393", "n01774750", "n01784675", "n01806143", "n01820546", "n01833805", "n01843383", "n01847000", "n01855672", "n01860187", "n01882714", "n01910747", "n01944390", "n01983481", "n01986214", "n02007558", "n02009912", "n02051845", "n02056570", "n02066245", "n02071294", "n02077923", "n02085620", "n02086240", "n02088094", "n02088238", "n02088364", "n02088466", "n02091032", "n02091134", "n02092339", "n02094433", "n02096585", "n02097298", "n02098286", "n02099601", "n02099712", "n02102318", "n02106030", "n02106166", "n02106550", "n02106662", "n02108089", "n02108915", "n02109525", "n02110185", "n02110341", "n02110958", "n02112018", "n02112137", "n02113023", "n02113624", "n02113799", "n02114367", "n02117135", "n02119022", "n02123045", "n02128385", "n02128757", "n02129165", "n02129604", "n02130308", "n02134084", "n02138441", "n02165456", "n02190166", "n02206856", "n02219486", "n02226429", "n02233338", "n02236044", "n02268443", "n02279972", "n02317335", "n02325366", "n02346627", "n02356798", "n02363005", "n02364673", "n02391049", "n02395406", "n02398521", "n02410509", "n02423022", "n02437616", "n02445715", "n02447366", "n02480495", "n02480855", "n02481823", "n02483362", "n02486410", "n02510455", "n02526121", "n02607072", "n02655020", "n02672831", "n02701002", "n02749479", "n02769748", "n02793495", "n02797295", "n02802426", "n02808440", "n02814860", "n02823750", "n02841315", "n02843684", "n02883205", "n02906734", "n02909870", "n02939185", "n02948072", "n02950826", "n02951358", "n02966193", "n02980441", "n02992529", "n03124170", "n03272010", "n03345487", "n03372029", "n03424325", "n03452741", "n03467068", "n03481172", "n03494278", "n03495258", "n03498962", "n03594945", "n03602883", "n03630383", "n03649909", "n03676483", "n03710193", "n03773504", "n03775071", "n03888257", "n03930630", "n03947888", "n04086273", "n04118538", "n04133789", "n04141076", "n04146614", "n04147183", "n04192698", "n04254680", "n04266014", "n04275548", "n04310018", "n04325704", "n04347754", "n04389033", "n04409515", "n04465501", "n04487394", "n04522168", "n04536866", "n04552348", "n04591713", "n07614500", "n07693725", "n07695742", "n07697313", "n07697537", "n07714571", "n07714990", "n07718472", "n07720875", "n07734744", "n07742313", "n07745940", "n07749582", "n07753275", "n07753592", "n07768694", "n07873807", "n07880968", "n07920052", "n09472597", "n09835506", "n10565667", "n12267677"],
3
- "all_wnids": ["n01440764", "n01443537", "n01484850", "n01491361", "n01494475", "n01496331", "n01498041", "n01514668", "n01514859", "n01518878", "n01530575", "n01531178", "n01532829", "n01534433", "n01537544", "n01558993", "n01560419", "n01580077", "n01582220", "n01592084", "n01601694", "n01608432", "n01614925", "n01616318", "n01622779", "n01629819", "n01630670", "n01631663", "n01632458", "n01632777", "n01641577", "n01644373", "n01644900", "n01664065", "n01665541", "n01667114", "n01667778", "n01669191", "n01675722", "n01677366", "n01682714", "n01685808", "n01687978", "n01688243", "n01689811", "n01692333", "n01693334", "n01694178", "n01695060", "n01697457", "n01698640", "n01704323", "n01728572", "n01728920", "n01729322", "n01729977", "n01734418", "n01735189", "n01737021", "n01739381", "n01740131", "n01742172", "n01744401", "n01748264", "n01749939", "n01751748", "n01753488", "n01755581", "n01756291", "n01768244", "n01770081", "n01770393", "n01773157", "n01773549", "n01773797", 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"n15075141"]
4
- }
 
 
 
 
 
imagenet-r.py DELETED
@@ -1,131 +0,0 @@
1
- """ImageNet-R Dataset"""
2
-
3
- import os
4
- import datasets
5
- import json
6
-
7
-
8
- logger = datasets.logging.get_logger(__name__)
9
-
10
- _CITATION = """\
11
- @article{hendrycks2020many,
12
- title={The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization},
13
- author={Dan Hendrycks and Steven Basart and Norman Mu and Saurav Kadavath and Frank Wang and Evan Dorundo and Rahul Desai and Tyler Zhu and Samyak Parajuli and Mike Guo and Dawn Song and Jacob Steinhardt and Justin Gilmer},
14
- journal={arXiv preprint arXiv:2006.16241},
15
- year={2020}
16
- }
17
- """
18
-
19
- _DESCRIPTION = """\
20
- ImageNet-R(endition) contains art, cartoons, deviantart, graffiti, embroidery, graphics, origami, paintings, patterns, plastic objects, plush objects, sculptures, sketches, tattoos, toys, and video game renditions of ImageNet classes.
21
-
22
- ImageNet-R has renditions of 200 ImageNet classes resulting in 30,000 images.
23
- """
24
-
25
- _HOMEPAGE = "https://github.com/hendrycks/imagenet-r/"
26
-
27
- _URLs = {
28
- "imagenet-r": "./imagenet-r.tar",
29
- "classes": "./classes.json",
30
- "wordnet": "./wordnet.json",
31
- }
32
-
33
-
34
- class ImageNet_R_Config(datasets.BuilderConfig):
35
- """BuilderConfig for ImageNet-R"""
36
-
37
- def __init__(self, **kwargs):
38
- """
39
- Args:
40
- **kwargs: keyword arguments forwarded to super.
41
- """
42
- super(ImageNet_R_Config, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
43
-
44
-
45
-
46
- def list_subfolders_and_files(root_dir):
47
- # all images paths
48
- all_paths = []
49
-
50
- for root, dirs, files in os.walk(root_dir):
51
- for file in files:
52
- file_path = os.path.join(root, file)
53
- all_paths.append(file_path)
54
- # end for
55
- return all_paths
56
-
57
-
58
- class ImageNet_R(datasets.GeneratorBasedBuilder):
59
- """ImageNet-R Dataset"""
60
-
61
- VERSION = datasets.Version("1.0.0")
62
- BUILDER_CONFIGS = [
63
- ImageNet_R_Config(
64
- name="test",
65
- description="test-set of ImageNet-R",
66
- ),
67
- ]
68
-
69
- def _info(self):
70
- if self.config.name == "test":
71
- return datasets.DatasetInfo(
72
- description=_DESCRIPTION,
73
- features=datasets.Features(
74
- {
75
- "image": datasets.Image(),
76
- "wnid": datasets.Value("string"),
77
- "class_name": datasets.Value("string"),
78
- }
79
- ),
80
- supervised_keys=None,
81
- citation=_CITATION,
82
- homepage=_HOMEPAGE,
83
- )
84
-
85
- def _split_generators(self, dl_manager):
86
- """Returns SplitGenerators."""
87
- downloaded_files = dl_manager.download_and_extract(_URLs)
88
-
89
- if self.config.name == "test":
90
- return [
91
- datasets.SplitGenerator(
92
- name = datasets.Split.TEST,
93
- gen_kwargs = {
94
- "filepath": downloaded_files["imagenet-r"],
95
- "classes_path": downloaded_files["classes"],
96
- "wordnet_path": downloaded_files["wordnet"],
97
- }
98
- )
99
- ]
100
-
101
-
102
- def _generate_examples(self, filepath, classes_path, wordnet_path):
103
- """Yields examples."""
104
- logger.info("generating examples from = %s", filepath)
105
-
106
- with open(classes_path, 'r') as f:
107
- classes = json.load(f)
108
- with open(wordnet_path, 'r') as f:
109
- wordnet = json.load(f)
110
-
111
- imagenet_r_wnids = classes['imagenet_r_wnids']
112
- all_wnids = classes['all_wnids']
113
-
114
- image_paths = list_subfolders_and_files(filepath)
115
-
116
- for _id, image_path in enumerate(image_paths):
117
- if self.config.name == "test":
118
- # img_style = image_path.split('/')[-1].split('_')[0] # [art]_0.jpg
119
- wnid = image_path.split('/')[-2]
120
- class_name = wordnet[wnid]
121
-
122
- yield _id, {
123
- "image": {
124
- "path": image_path,
125
- "bytes": open(image_path, "rb").read(),
126
- },
127
- # "label": imagenet_r_wnids.index(wnid),
128
- "wnid": wnid,
129
- "class_name": class_name,
130
- }
131
-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
imagenet-r.tar → test/test-00000-of-00005.parquet RENAMED
@@ -1,3 +1,3 @@
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wordnet.json DELETED
@@ -1,202 +0,0 @@
1
- {
2
- "n01443537": "goldfish",
3
- "n01484850": "great_white_shark",
4
- "n01494475": "hammerhead",
5
- "n01498041": "stingray",
6
- "n01514859": "hen",
7
- "n01518878": "ostrich",
8
- "n01531178": "goldfinch",
9
- "n01534433": "junco",
10
- "n01614925": "bald_eagle",
11
- "n01616318": "vulture",
12
- "n01630670": "newt",
13
- "n01632777": "axolotl",
14
- "n01644373": "tree_frog",
15
- "n01677366": "iguana",
16
- "n01694178": "African_chameleon",
17
- "n01748264": "cobra",
18
- "n01770393": "scorpion",
19
- "n01774750": "tarantula",
20
- "n01784675": "centipede",
21
- "n01806143": "peacock",
22
- "n01820546": "lorikeet",
23
- "n01833805": "hummingbird",
24
- "n01843383": "toucan",
25
- "n01847000": "duck",
26
- "n01855672": "goose",
27
- "n01860187": "black_swan",
28
- "n01882714": "koala",
29
- "n01910747": "jellyfish",
30
- "n01944390": "snail",
31
- "n01983481": "lobster",
32
- "n01986214": "hermit_crab",
33
- "n02007558": "flamingo",
34
- "n02009912": "american_egret",
35
- "n02051845": "pelican",
36
- "n02056570": "king_penguin",
37
- "n02066245": "grey_whale",
38
- "n02071294": "killer_whale",
39
- "n02077923": "sea_lion",
40
- "n02085620": "chihuahua",
41
- "n02086240": "shih_tzu",
42
- "n02088094": "afghan_hound",
43
- "n02088238": "basset_hound",
44
- "n02088364": "beagle",
45
- "n02088466": "bloodhound",
46
- "n02091032": "italian_greyhound",
47
- "n02091134": "whippet",
48
- "n02092339": "weimaraner",
49
- "n02094433": "yorkshire_terrier",
50
- "n02096585": "boston_terrier",
51
- "n02097298": "scottish_terrier",
52
- "n02098286": "west_highland_white_terrier",
53
- "n02099601": "golden_retriever",
54
- "n02099712": "labrador_retriever",
55
- "n02102318": "cocker_spaniels",
56
- "n02106030": "collie",
57
- "n02106166": "border_collie",
58
- "n02106550": "rottweiler",
59
- "n02106662": "german_shepherd_dog",
60
- "n02108089": "boxer",
61
- "n02108915": "french_bulldog",
62
- "n02109525": "saint_bernard",
63
- "n02110185": "husky",
64
- "n02110341": "dalmatian",
65
- "n02110958": "pug",
66
- "n02112018": "pomeranian",
67
- "n02112137": "chow_chow",
68
- "n02113023": "pembroke_welsh_corgi",
69
- "n02113624": "toy_poodle",
70
- "n02113799": "standard_poodle",
71
- "n02114367": "timber_wolf",
72
- "n02117135": "hyena",
73
- "n02119022": "red_fox",
74
- "n02123045": "tabby_cat",
75
- "n02128385": "leopard",
76
- "n02128757": "snow_leopard",
77
- "n02129165": "lion",
78
- "n02129604": "tiger",
79
- "n02130308": "cheetah",
80
- "n02134084": "polar_bear",
81
- "n02138441": "meerkat",
82
- "n02165456": "ladybug",
83
- "n02190166": "fly",
84
- "n02206856": "bee",
85
- "n02219486": "ant",
86
- "n02226429": "grasshopper",
87
- "n02233338": "cockroach",
88
- "n02236044": "mantis",
89
- "n02268443": "dragonfly",
90
- "n02279972": "monarch_butterfly",
91
- "n02317335": "starfish",
92
- "n02325366": "wood_rabbit",
93
- "n02346627": "porcupine",
94
- "n02356798": "fox_squirrel",
95
- "n02363005": "beaver",
96
- "n02364673": "guinea_pig",
97
- "n02391049": "zebra",
98
- "n02395406": "pig",
99
- "n02398521": "hippopotamus",
100
- "n02410509": "bison",
101
- "n02423022": "gazelle",
102
- "n02437616": "llama",
103
- "n02445715": "skunk",
104
- "n02447366": "badger",
105
- "n02480495": "orangutan",
106
- "n02480855": "gorilla",
107
- "n02481823": "chimpanzee",
108
- "n02483362": "gibbon",
109
- "n02486410": "baboon",
110
- "n02510455": "panda",
111
- "n02526121": "eel",
112
- "n02607072": "clown_fish",
113
- "n02655020": "puffer_fish",
114
- "n02672831": "accordion",
115
- "n02701002": "ambulance",
116
- "n02749479": "assault_rifle",
117
- "n02769748": "backpack",
118
- "n02793495": "barn",
119
- "n02797295": "wheelbarrow",
120
- "n02802426": "basketball",
121
- "n02808440": "bathtub",
122
- "n02814860": "lighthouse",
123
- "n02823750": "beer_glass",
124
- "n02841315": "binoculars",
125
- "n02843684": "birdhouse",
126
- "n02883205": "bow_tie",
127
- "n02906734": "broom",
128
- "n02909870": "bucket",
129
- "n02939185": "cauldron",
130
- "n02948072": "candle",
131
- "n02950826": "cannon",
132
- "n02951358": "canoe",
133
- "n02966193": "carousel",
134
- "n02980441": "castle",
135
- "n02992529": "mobile_phone",
136
- "n03124170": "cowboy_hat",
137
- "n03272010": "electric_guitar",
138
- "n03345487": "fire_engine",
139
- "n03372029": "flute",
140
- "n03424325": "gasmask",
141
- "n03452741": "grand_piano",
142
- "n03467068": "guillotine",
143
- "n03481172": "hammer",
144
- "n03494278": "harmonica",
145
- "n03495258": "harp",
146
- "n03498962": "hatchet",
147
- "n03594945": "jeep",
148
- "n03602883": "joystick",
149
- "n03630383": "lab_coat",
150
- "n03649909": "lawn_mower",
151
- "n03676483": "lipstick",
152
- "n03710193": "mailbox",
153
- "n03773504": "missile",
154
- "n03775071": "mitten",
155
- "n03888257": "parachute",
156
- "n03930630": "pickup_truck",
157
- "n03947888": "pirate_ship",
158
- "n04086273": "revolver",
159
- "n04118538": "rugby_ball",
160
- "n04133789": "sandal",
161
- "n04141076": "saxophone",
162
- "n04146614": "school_bus",
163
- "n04147183": "schooner",
164
- "n04192698": "shield",
165
- "n04254680": "soccer_ball",
166
- "n04266014": "space_shuttle",
167
- "n04275548": "spider_web",
168
- "n04310018": "steam_locomotive",
169
- "n04325704": "scarf",
170
- "n04347754": "submarine",
171
- "n04389033": "tank",
172
- "n04409515": "tennis_ball",
173
- "n04465501": "tractor",
174
- "n04487394": "trombone",
175
- "n04522168": "vase",
176
- "n04536866": "violin",
177
- "n04552348": "military_aircraft",
178
- "n04591713": "wine_bottle",
179
- "n07614500": "ice_cream",
180
- "n07693725": "bagel",
181
- "n07695742": "pretzel",
182
- "n07697313": "cheeseburger",
183
- "n07697537": "hotdog",
184
- "n07714571": "cabbage",
185
- "n07714990": "broccoli",
186
- "n07718472": "cucumber",
187
- "n07720875": "bell_pepper",
188
- "n07734744": "mushroom",
189
- "n07742313": "Granny_Smith",
190
- "n07745940": "strawberry",
191
- "n07749582": "lemon",
192
- "n07753275": "pineapple",
193
- "n07753592": "banana",
194
- "n07768694": "pomegranate",
195
- "n07873807": "pizza",
196
- "n07880968": "burrito",
197
- "n07920052": "espresso",
198
- "n09472597": "volcano",
199
- "n09835506": "baseball_player",
200
- "n10565667": "scuba_diver",
201
- "n12267677": "acorn"
202
- }