cartoonset v1

cartoonset.py

@@ -40,12 +40,10 @@ combinations. We provide sets of 10k and 100k randomly chosen cartoons and label
 """
 
 _DATA_URLS = {
-    "10k": "https://storage.cloud.google.com/cartoonset_public_files/cartoonset10k.tgz",
-    "100k": "https://storage.cloud.google.com/cartoonset_public_files/cartoonset100k.tgz",
+    "10k": "https://huggingface.co/datasets/cgarciae/cartoonset/resolve/1.0.0/data/cartoonset10k.tgz",
+    "100k": "https://huggingface.co/datasets/cgarciae/cartoonset/resolve/1.0.0/data/cartoonset100k.tgz",
 }
 
-_NAMES = []
-
 
 class Cartoonset(datasets.GeneratorBasedBuilder):
     """Cartoonset-10k Data Set"""
@@ -80,7 +78,7 @@ class Cartoonset(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager: datasets.DownloadManager):
         url = _DATA_URLS[self.config.name]
-        print("URL:", url)
+        archive = dl_manager.download(url)
 
         return [
             datasets.SplitGenerator(

dataset_infos.json

@@ -0,0 +1 @@
+{"10k": {"description": "Cartoon Set is a collection of random, 2D cartoon avatar images. The cartoons vary in 10 artwork \ncategories, 4 color categories, and 4 proportion categories, with a total of ~1013 possible \ncombinations. We provide sets of 10k and 100k randomly chosen cartoons and labeled attributes. \n", "citation": "\n@article{DBLP:journals/corr/abs-1711-05139,\n  author    = {Amelie Royer and\n               Konstantinos Bousmalis and\n               Stephan Gouws and\n               Fred Bertsch and\n               Inbar Mosseri and\n               Forrester Cole and\n               Kevin Murphy},\n  title     = {{XGAN:} Unsupervised Image-to-Image Translation for many-to-many Mappings},\n  journal   = {CoRR},\n  volume    = {abs/1711.05139},\n  year      = {2017},\n  url       = {http://arxiv.org/abs/1711.05139},\n  eprinttype = {arXiv},\n  eprint    = {1711.05139},\n  timestamp = {Mon, 13 Aug 2018 16:47:38 +0200},\n  biburl    = {https://dblp.org/rec/journals/corr/abs-1711-05139.bib},\n  bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n", "homepage": "https://www.cs.toronto.edu/~kriz/cifar.html", "license": "", "features": {"img": {"decode": true, "id": null, "_type": "Image"}}, "post_processed": null, "supervised_keys": {"input": "img", "output": ""}, "task_templates": null, "builder_name": "cartoonset", "config_name": "10k", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 485462908, "num_examples": 10000, "dataset_name": "cartoonset"}}, "download_checksums": {"https://huggingface.co/datasets/cgarciae/cartoonset/resolve/1.0.0/data/cartoonset10k.tgz": {"num_bytes": 476635078, "checksum": "902145ad5096af10ca9ee200b648e2a60e8b6b83dd2f4dc5356817988be8ff43"}}, "download_size": 476635078, "post_processing_size": null, "dataset_size": 485462908, "size_in_bytes": 962097986}}

poetry.lock

@@ -111,6 +111,14 @@ category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
+[[package]]
+name = "cycler"
+version = "0.11.0"
+description = "Composable style cycles"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "datasets"
 version = "1.18.4"
@@ -138,13 +146,13 @@ xxhash = "*"
 apache-beam = ["apache-beam (>=2.26.0)"]
 audio = ["librosa"]
 benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "transformers (==3.0.2)"]
-dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==2.0.4)", "rarfile (>=4.0)", "s3fs (==2021.08.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "torch", "torchaudio", "soundfile", "transformers", "bs4", "conllu", "h5py", "langdetect", "lxml", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "Pillow (>=6.2.1)", "librosa", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)", "importlib-resources"]
+dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[server,s3] (==2.0.4)", "rarfile (>=4.0)", "s3fs (==2021.08.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "torch", "torchaudio", "soundfile", "transformers", "bs4", "conllu", "h5py", "langdetect", "lxml", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "Pillow (>=6.2.1)", "librosa", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)", "importlib-resources"]
 docs = ["docutils (==0.16.0)", "recommonmark", "sphinx (==3.1.2)", "sphinx-markdown-tables", "sphinx-rtd-theme (==0.4.3)", "sphinxext-opengraph (==0.4.1)", "sphinx-copybutton", "fsspec (<2021.9.0)", "s3fs", "sphinx-panels", "sphinx-inline-tabs", "myst-parser", "Markdown (!=3.3.5)"]
 quality = ["black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"]
 s3 = ["fsspec", "boto3", "botocore", "s3fs"]
 tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)"]
 tensorflow_gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
-tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==2.0.4)", "rarfile (>=4.0)", "s3fs (==2021.08.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "torch", "torchaudio", "soundfile", "transformers", "bs4", "conllu", "h5py", "langdetect", "lxml", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "Pillow (>=6.2.1)", "librosa", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "importlib-resources"]
+tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[server,s3] (==2.0.4)", "rarfile (>=4.0)", "s3fs (==2021.08.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "torch", "torchaudio", "soundfile", "transformers", "bs4", "conllu", "h5py", "langdetect", "lxml", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "Pillow (>=6.2.1)", "librosa", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "importlib-resources"]
 torch = ["torch"]
 vision = ["Pillow (>=6.2.1)"]
 
@@ -171,6 +179,27 @@ python-versions = ">=3.7"
 docs = ["furo (>=2021.8.17b43)", "sphinx (>=4.1)", "sphinx-autodoc-typehints (>=1.12)"]
 testing = ["covdefaults (>=1.2.0)", "coverage (>=4)", "pytest (>=4)", "pytest-cov", "pytest-timeout (>=1.4.2)"]
 
+[[package]]
+name = "fonttools"
+version = "4.30.0"
+description = "Tools to manipulate font files"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+all = ["fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "zopfli (>=0.1.4)", "lz4 (>=1.7.4.2)", "matplotlib", "sympy", "skia-pathops (>=0.5.0)", "brotlicffi (>=0.8.0)", "scipy", "brotli (>=1.0.1)", "munkres", "unicodedata2 (>=14.0.0)", "xattr"]
+graphite = ["lz4 (>=1.7.4.2)"]
+interpolatable = ["scipy", "munkres"]
+lxml = ["lxml (>=4.0,<5)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
+unicode = ["unicodedata2 (>=14.0.0)"]
+woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"]
+
 [[package]]
 name = "frozenlist"
 version = "1.3.0"
@@ -245,6 +274,33 @@ category = "main"
 optional = false
 python-versions = ">=3.5"
 
+[[package]]
+name = "kiwisolver"
+version = "1.4.0"
+description = "A fast implementation of the Cassowary constraint solver"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[[package]]
+name = "matplotlib"
+version = "3.5.1"
+description = "Python plotting package"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+cycler = ">=0.10"
+fonttools = ">=4.22.0"
+kiwisolver = ">=1.0.1"
+numpy = ">=1.17"
+packaging = ">=20.0"
+pillow = ">=6.2.0"
+pyparsing = ">=2.2.1"
+python-dateutil = ">=2.7"
+setuptools_scm = ">=4"
+
 [[package]]
 name = "multidict"
 version = "6.0.2"
@@ -422,6 +478,22 @@ urllib3 = ">=1.25.10"
 [package.extras]
 tests = ["pytest (>=4.6)", "coverage (>=6.0.0)", "pytest-cov", "pytest-localserver", "flake8", "types-mock", "types-requests", "mypy"]
 
+[[package]]
+name = "setuptools-scm"
+version = "6.4.2"
+description = "the blessed package to manage your versions by scm tags"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+packaging = ">=20.0"
+tomli = ">=1.0.0"
+
+[package.extras]
+test = ["pytest (>=6.2)", "virtualenv (>20)"]
+toml = ["setuptools (>=42)"]
+
 [[package]]
 name = "six"
 version = "1.16.0"
@@ -498,7 +570,7 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "1.1"
 python-versions = "^3.8"
-content-hash = "ebb81a55ed495e769c66712e56fb28ee0d2af9b63d96cde424e7b623babfd435"
+content-hash = "c049562e23ad83658e94eb08b5c1fb20380da5edfee77a2b69c2212595511ec3"
 
 [metadata.files]
 aiohttp = [
@@ -628,6 +700,10 @@ colorama = [
     {file = "colorama-0.4.4-py2.py3-none-any.whl", hash = "sha256:9f47eda37229f68eee03b24b9748937c7dc3868f906e8ba69fbcbdd3bc5dc3e2"},
     {file = "colorama-0.4.4.tar.gz", hash = "sha256:5941b2b48a20143d2267e95b1c2a7603ce057ee39fd88e7329b0c292aa16869b"},
 ]
+cycler = [
+    {file = "cycler-0.11.0-py3-none-any.whl", hash = "sha256:3a27e95f763a428a739d2add979fa7494c912a32c17c4c38c4d5f082cad165a3"},
+    {file = "cycler-0.11.0.tar.gz", hash = "sha256:9c87405839a19696e837b3b818fed3f5f69f16f1eec1a1ad77e043dcea9c772f"},
+]
 datasets = [
     {file = "datasets-1.18.4-py3-none-any.whl", hash = "sha256:e13695ad7aeda2af4430ac1a0b62def9c4b60bb4cc14dbaa240e6683cac50c49"},
     {file = "datasets-1.18.4.tar.gz", hash = "sha256:8f28a7afc2f894c68cb017335a32812f443fe41bc59c089cbd15d7412d3f7f96"},
@@ -640,6 +716,10 @@ filelock = [
     {file = "filelock-3.6.0-py3-none-any.whl", hash = "sha256:f8314284bfffbdcfa0ff3d7992b023d4c628ced6feb957351d4c48d059f56bc0"},
     {file = "filelock-3.6.0.tar.gz", hash = "sha256:9cd540a9352e432c7246a48fe4e8712b10acb1df2ad1f30e8c070b82ae1fed85"},
 ]
+fonttools = [
+    {file = "fonttools-4.30.0-py3-none-any.whl", hash = "sha256:6985cc5380c06db07fdc73ade15e6adbd4ce6ff850d7561ca00f97090b4b263d"},
+    {file = "fonttools-4.30.0.zip", hash = "sha256:084dd1762f083a1bf49e41da1bfeafb475c9dce46265690a6bdd33290b9a63f4"},
+]
 frozenlist = [
     {file = "frozenlist-1.3.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d2257aaba9660f78c7b1d8fea963b68f3feffb1a9d5d05a18401ca9eb3e8d0a3"},
     {file = "frozenlist-1.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4a44ebbf601d7bac77976d429e9bdb5a4614f9f4027777f9e54fd765196e9d3b"},
@@ -713,6 +793,88 @@ idna = [
     {file = "idna-3.3-py3-none-any.whl", hash = "sha256:84d9dd047ffa80596e0f246e2eab0b391788b0503584e8945f2368256d2735ff"},
     {file = "idna-3.3.tar.gz", hash = "sha256:9d643ff0a55b762d5cdb124b8eaa99c66322e2157b69160bc32796e824360e6d"},
 ]
+kiwisolver = [
+    {file = "kiwisolver-1.4.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:70e7b7a4ebeddef423115ea31857732fc04e0f38dd1e6385e1af05b6164a3d0f"},
+    {file = "kiwisolver-1.4.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:384b5076b2c0172003abca9ba8b8c5efcaaffd31616f3f5e0a09dcc34772d012"},
+    {file = "kiwisolver-1.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:334a7e3d498a0a791245f0964c746d0414e9b13aef73237f0d798a2101fdbae9"},
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@@ -974,6 +1136,10 @@ responses = [
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 ]
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+]
 six = [
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pyproject.toml

@@ -12,6 +12,7 @@ Pillow = "^9.0.1"
 
 [tool.poetry.dev-dependencies]
 black = {version = "^22.1.0", allow-prereleases = true}
+matplotlib = "^3.5.1"
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]