chriamue commited on
Commit
24449b1
1 Parent(s): af040c2

fix tipo in dataset

Browse files
Files changed (2) hide show
  1. README.md +12 -11
  2. bird-species-dataset.py +13 -10
README.md CHANGED
@@ -1,5 +1,16 @@
1
  ---
 
 
 
 
 
 
 
 
 
 
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  dataset_info:
 
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  features:
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  - name: image
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  dtype: image
@@ -542,18 +553,8 @@ dataset_info:
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  - name: test
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  num_bytes: 123269
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  num_examples: 2625
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- download_size: 0
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  dataset_size: 4474183
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- language:
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- - en
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- license: cc0-1.0
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- size_categories:
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- - 1K<n<10K
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- task_categories:
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- - image-classification
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- pretty_name: Bird Species
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- tags:
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- - biology
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  ---
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  # Dataset Card for "Bird Species"
 
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  ---
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+ language:
3
+ - en
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+ license: cc0-1.0
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+ size_categories:
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+ - 1K<n<10K
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+ task_categories:
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+ - image-classification
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+ pretty_name: Bird Species
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+ tags:
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+ - biology
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  dataset_info:
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+ config_name: bird_species_dataset
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  features:
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  - name: image
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  dtype: image
 
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  - name: test
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  num_bytes: 123269
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  num_examples: 2625
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+ download_size: 4474183
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  dataset_size: 4474183
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for "Bird Species"
bird-species-dataset.py CHANGED
@@ -1,7 +1,6 @@
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  import os
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  import datasets
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  from datasets import SplitGenerator, Split, ImageClassification
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- from kaggle.api.kaggle_api_extended import KaggleApi
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  _CITATION = """\
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  @TECHREPORT{gpiosenka/100-bird-species,
@@ -19,13 +18,23 @@ _HOMEPAGE = "https://www.kaggle.com/datasets/gpiosenka/100-bird-species/"
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  _DATA_DIR = 'data/'
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  def _CLASSES() -> list[str]:
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  # reads from bird_labels.txt, line by line
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  with open("birds_labels.txt") as f:
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  return f.read().splitlines()
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- class BirdSpeciesDatasetDataset(datasets.GeneratorBasedBuilder):
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- VERSION = datasets.Version("0.1.1")
 
 
 
 
 
 
 
 
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  def _info(self):
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  _NAMES = _CLASSES()
@@ -48,6 +57,7 @@ class BirdSpeciesDatasetDataset(datasets.GeneratorBasedBuilder):
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  data_dir = _DATA_DIR
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  # Downloading the dataset
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  if not os.path.exists(data_dir):
 
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  kaggle_api = KaggleApi()
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  kaggle_api.authenticate()
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  kaggle_api.dataset_download_files('gpiosenka/100-bird-species', path=data_dir, unzip=True)
@@ -76,10 +86,3 @@ class BirdSpeciesDatasetDataset(datasets.GeneratorBasedBuilder):
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  }
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  yield idx, record
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  idx += 1
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-
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-
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-
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-
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- # To use the dataset:
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- # from datasets import load_dataset
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- # dataset = load_dataset('path/to/birds.py')
 
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  import os
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  import datasets
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  from datasets import SplitGenerator, Split, ImageClassification
 
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  _CITATION = """\
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  @TECHREPORT{gpiosenka/100-bird-species,
 
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  _DATA_DIR = 'data/'
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+ _VERSION = "0.1.0"
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+
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  def _CLASSES() -> list[str]:
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  # reads from bird_labels.txt, line by line
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  with open("birds_labels.txt") as f:
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  return f.read().splitlines()
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+ class BirdSpeciesDataset(datasets.GeneratorBasedBuilder):
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+ """DatasetBuilder for bird_species_dataset dataset."""
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+
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+ BUILDER_CONFIGS = [
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+ datasets.BuilderConfig(
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+ name="bird_species_dataset",
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+ version=datasets.Version(_VERSION),
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+ description=_DESCRIPTION,
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+ )
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+ ]
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  def _info(self):
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  _NAMES = _CLASSES()
 
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  data_dir = _DATA_DIR
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  # Downloading the dataset
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  if not os.path.exists(data_dir):
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+ from kaggle.api.kaggle_api_extended import KaggleApi
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  kaggle_api = KaggleApi()
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  kaggle_api.authenticate()
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  kaggle_api.dataset_download_files('gpiosenka/100-bird-species', path=data_dir, unzip=True)
 
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  }
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  yield idx, record
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  idx += 1