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Update README.md

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@@ -1282,45 +1282,32 @@ Mesh objects included in samples follow the [CGNS](https://cgns.github.io/) stan
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  Example of commands:
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  ```python
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  from datasets import load_dataset
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- from plaid.containers.sample import Sample
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- import pickle
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- # Load the dataset
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  hf_dataset = load_dataset("PLAID-datasets/Tensile2d", split="all_samples")
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- # Get split ids
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- ids_train = hf_dataset.description["split"]['train_500']
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- ids_test = hf_dataset.description["split"]['test']
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- # Get inputs/outputs names
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- in_scalars_names = hf_dataset.description["in_scalars_names"]
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- out_fields_names = hf_dataset.description["out_fields_names"]
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- # Get samples
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- sample = Sample.model_validate(pickle.loads(hf_dataset[ids_train[0]]["sample"]))
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- sample_2 = Sample.model_validate(pickle.loads(hf_dataset[ids_test[0]]["sample"]))
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- # Examples data retrievals
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  # inputs
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- nodes = sample.get_nodes()
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- elements = sample.get_elements()
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- nodal_tags = sample.get_nodal_tags()
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  for sn in ['P', 'p1', 'p2', 'p3', 'p4', 'p5']:
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- scalar = sample.get_scalar(sn)
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  # outputs
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  for fn in ['U1', 'U2', 'q', 'sig11', 'sig22', 'sig12']:
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- field = sample.get_field(fn)
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  for sn in ['max_von_mises', 'max_q', 'max_U2_top', 'max_sig22_top']:
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- scalar = sample.get_scalar(sn)
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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 = 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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  Example of commands:
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  ```python
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  from datasets import load_dataset
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+ from plaid.bridges.huggingface_bridge import huggingface_dataset_to_plaid
 
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  hf_dataset = load_dataset("PLAID-datasets/Tensile2d", split="all_samples")
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+ dataset, problem = huggingface_dataset_to_plaid(hf_dataset, processes_number = 4)
 
 
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+ ids_train = problem.get_split('train_500')
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+ ids_test = problem.get_split('test')
 
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+ sample_train_0 = dataset[ids_train[0]]
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+ sample_test_0 = dataset[ids_test[0]]
 
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  # inputs
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+ nodes = sample_train_0.get_nodes()
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+ elements = sample_train_0.get_elements()
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+ nodal_tags = sample_train_0.get_nodal_tags()
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  for sn in ['P', 'p1', 'p2', 'p3', 'p4', 'p5']:
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+ scalar = sample_train_0.get_scalar(sn)
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  # outputs
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  for fn in ['U1', 'U2', 'q', 'sig11', 'sig22', 'sig12']:
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+ field = sample_train_0.get_field(fn)
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  for sn in ['max_von_mises', 'max_q', 'max_U2_top', 'max_sig22_top']:
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+ scalar = sample_train_0.get_scalar(sn)
 
 
 
 
 
 
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  ```
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  ## Dataset Details