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README.md
@@ -42,12 +42,12 @@ print(mlc.Dataset(url).metadata.to_json())
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import tensorflow_datasets as tfds
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builder = tfds.core.dataset_builders.CroissantBuilder(
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jsonld=url,
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- record_set_ids=["record_set_fashion_mnist"],
+ record_set_ids=["fashion_mnist"],
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file_format='array_record',
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)
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builder.download_and_prepare()
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# 4. Split for training/testing
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-train, test = builder.as_data_source(split=['default[:80%]', 'default[80%:]'])
+train, test = builder.as_data_source(split=['train[:80%]', 'test[80%:]'])
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```
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Please see the [notebook recipes](python/mlcroissant/recipes) for more examples.
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