Datasets:
Tasks:
Image Classification
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
100K<n<1M
ArXiv:
License:
Fix the way it reads the file name (#2)
Browse files- Fix the way it reads the file name (be827978bc7dd2e1c7fbff24b3d869e66c35ee90)
Co-authored-by: Quentin Lhoest <lhoestq@users.noreply.huggingface.co>
NIH-Chest-X-ray-dataset.py
CHANGED
@@ -186,7 +186,7 @@ class ChestXray14(datasets.GeneratorBasedBuilder):
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logger.info(f"Batch for data_files: {batch}")
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path_files = dl_manager.iter_files(batch)
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for img in path_files:
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-
if
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train_files.append(img)
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else:
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test_files.append(img)
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@@ -215,7 +215,7 @@ class ChestXray14(datasets.GeneratorBasedBuilder):
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for i, path in enumerate(files):
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file_name = os.path.basename(path)
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# Get image id to filter the respective row of the csv
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-
image_id = file_name
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image_labels = label_csv[label_csv["Image Index"] == image_id]["Finding Labels"].values[0].split("|")
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if file_name.endswith(".png"):
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yield i, {
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logger.info(f"Batch for data_files: {batch}")
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path_files = dl_manager.iter_files(batch)
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for img in path_files:
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+
if os.path.basename(img) in train_val_list:
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train_files.append(img)
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else:
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test_files.append(img)
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for i, path in enumerate(files):
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file_name = os.path.basename(path)
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# Get image id to filter the respective row of the csv
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+
image_id = file_name
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image_labels = label_csv[label_csv["Image Index"] == image_id]["Finding Labels"].values[0].split("|")
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if file_name.endswith(".png"):
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yield i, {
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