system HF staff commited on
Commit
6cde604
·
1 Parent(s): 1cc85d8

Update files from the datasets library (from 1.18.0)

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Release notes: https://github.com/huggingface/datasets/releases/tag/1.18.0

Files changed (1) hide show
  1. beans.py +14 -9
beans.py CHANGED
@@ -14,7 +14,7 @@
14
  # limitations under the License.
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  """Beans leaf dataset with images of diseased and health leaves."""
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- from pathlib import Path
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  import datasets
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  from datasets.tasks import ImageClassification
@@ -65,7 +65,7 @@ class Beans(datasets.GeneratorBasedBuilder):
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  supervised_keys=("image", "labels"),
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  homepage=_HOMEPAGE,
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  citation=_CITATION,
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- task_templates=[ImageClassification(image_column="image", label_column="labels", labels=_NAMES)],
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  )
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  def _split_generators(self, dl_manager):
@@ -74,24 +74,29 @@ class Beans(datasets.GeneratorBasedBuilder):
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
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  gen_kwargs={
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- "archive": data_files["train"],
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  },
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  ),
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  datasets.SplitGenerator(
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  name=datasets.Split.VALIDATION,
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  gen_kwargs={
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- "archive": data_files["validation"],
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  },
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  ),
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  datasets.SplitGenerator(
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  name=datasets.Split.TEST,
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  gen_kwargs={
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- "archive": data_files["test"],
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  },
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  ),
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  ]
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- def _generate_examples(self, archive):
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- for i, path in enumerate(Path(archive).glob("**/*")):
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- if path.suffix == ".jpg":
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- yield i, {"image_file_path": str(path), "image": str(path), "labels": path.parent.name.lower()}
 
 
 
 
 
 
14
  # limitations under the License.
15
  """Beans leaf dataset with images of diseased and health leaves."""
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+ import os
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  import datasets
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  from datasets.tasks import ImageClassification
 
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  supervised_keys=("image", "labels"),
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  homepage=_HOMEPAGE,
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  citation=_CITATION,
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+ task_templates=[ImageClassification(image_column="image", label_column="labels")],
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  )
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  def _split_generators(self, dl_manager):
 
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
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  gen_kwargs={
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+ "files": dl_manager.iter_files([data_files["train"]]),
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  },
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  ),
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  datasets.SplitGenerator(
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  name=datasets.Split.VALIDATION,
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  gen_kwargs={
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+ "files": dl_manager.iter_files([data_files["validation"]]),
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  },
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  ),
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  datasets.SplitGenerator(
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  name=datasets.Split.TEST,
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  gen_kwargs={
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+ "files": dl_manager.iter_files([data_files["test"]]),
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  },
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  ),
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  ]
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+ def _generate_examples(self, files):
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+ for i, path in enumerate(files):
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+ file_name = os.path.basename(path)
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+ if file_name.endswith(".jpg"):
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+ yield i, {
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+ "image_file_path": path,
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+ "image": path,
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+ "labels": os.path.basename(os.path.dirname(path)).lower(),
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+ }