Datasets:
Merge two config options
Browse files- diffusiondb.py +10 -1
diffusiondb.py
CHANGED
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@@ -64,7 +64,7 @@ class DiffusionDB(datasets.GeneratorBasedBuilder):
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# Programmatically generate configuration options (HF requires to use a string
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# as the config key)
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for num_k in [1, 5, 10, 50, 100, 500, 1000
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for sampling in ["first", "random"]:
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num_k_str = f"{num_k}k" if num_k < 1000 else f"{num_k // 1000}m"
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@@ -98,6 +98,15 @@ class DiffusionDB(datasets.GeneratorBasedBuilder):
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),
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)
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# Default to only load 1k random images
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DEFAULT_CONFIG_NAME = "random_1k"
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# Programmatically generate configuration options (HF requires to use a string
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# as the config key)
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+
for num_k in [1, 5, 10, 50, 100, 500, 1000]:
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for sampling in ["first", "random"]:
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num_k_str = f"{num_k}k" if num_k < 1000 else f"{num_k // 1000}m"
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),
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)
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# For the 2k option, random sample and first parts are the same
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BUILDER_CONFIGS.append(
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DiffusionDBConfig(
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name="all",
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part_ids=_PART_IDS,
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description="All images with their prompts and parameters",
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),
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)
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# Default to only load 1k random images
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DEFAULT_CONFIG_NAME = "random_1k"
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