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Update README.md

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@@ -1289,7 +1289,7 @@ dataset = load_dataset("chanel/dataset", split="all_samples")
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  # Get the first sample of the first split
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  split_names = list(dataset.description["split"].keys())
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- ids_split_0 = dataset.description["split"][split_names[0]]
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  sample_0_split_0 = dataset[ids_split_0[0]]["sample"]
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  plaid_sample = Sample.model_validate(pickle.loads(sample_0_split_0))
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  print("type(plaid_sample) =", type(plaid_sample))
@@ -1302,12 +1302,6 @@ field = plaid_sample.get_field(field_names[0])
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  print("field_names[0] =", field_names[0])
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  print("field.shape =", field.shape)
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-
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- # Get the mesh and convert it to Muscat
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- from Muscat.Bridges import CGNSBridge
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- CGNS_tree = plaid_sample.get_mesh()
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- mesh = CGNSBridge.CGNSToMesh(CGNS_tree)
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- print(mesh)
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  ```
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  ## Dataset Details
 
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  # Get the first sample of the first split
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  split_names = list(dataset.description["split"].keys())
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+ ids_split_0 = dataset.description["split"]['train_8']
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  sample_0_split_0 = dataset[ids_split_0[0]]["sample"]
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  plaid_sample = Sample.model_validate(pickle.loads(sample_0_split_0))
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  print("type(plaid_sample) =", type(plaid_sample))
 
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  print("field_names[0] =", field_names[0])
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  print("field.shape =", field.shape)
 
 
 
 
 
 
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  ```
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  ## Dataset Details