Update README.md

README.md

@@ -1919,59 +1919,33 @@ Mesh objects included in samples follow the [CGNS](https://cgns.github.io/) stan
 Example of commands:
 ```python
 from datasets import load_dataset
-from plaid.containers.sample import Sample
-import pickle
+from plaid.bridges.huggingface_bridge import huggingface_dataset_to_plaid
 
-# Load the dataset
 hf_dataset = load_dataset("PLAID-datasets/VKI-LS59", split="all_samples")
 
-# Get split ids
-ids_train = hf_dataset.description["split"]['train']
-ids_test  = hf_dataset.description["split"]['test']
+dataset, problem = huggingface_dataset_to_plaid(hf_dataset, processes_number = 4)
 
-# Get inputs/outputs names
-in_scalars_names = hf_dataset.description["in_scalars_names"]
-out_fields_names = hf_dataset.description["out_fields_names"]
+ids_train = problem.get_split('train')
+ids_test  = problem.get_split('test')
 
-# Get samples
-sample = Sample.model_validate(pickle.loads(hf_dataset[ids_train[0]]["sample"]))
-sample_2 = Sample.model_validate(pickle.loads(hf_dataset[ids_test[0]]["sample"]))
+sample_train_0 = dataset[ids_train[0]]
+sample_test_0 = dataset[ids_test[0]]
 
-# Examples data retrievals
-for fn in ["sdf", "ro", "rou", "rov", "roe", "nut", "mach"]:
-    field = sample.get_field(fn, base_name="Base_2_2")
-M_iso = sample.get_field("M_iso", base_name="Base_1_2")
-for sn in sample.get_scalar_names():
-    scalar = sample.get_scalar(sn)
-
-print("nodes 2D (flow) =", sample.get_nodes(base_name="Base_2_2"))
-print("nodes 1D (blade surface) =", sample.get_nodes(base_name="Base_1_2"))
-print("elements 2D (flow) =", sample.get_elements(base_name="Base_2_2"))
-print("elements 1D (blade surface) =", sample.get_elements(base_name="Base_1_2"))
-print("nodal_tags 2D (flow) =", sample.get_nodal_tags(base_name="Base_2_2"))
 
 # inputs
-nodes = sample.get_nodes(base_name="Base_2_2")
-elements = sample.get_elements(base_name="Base_2_2")
-nodal_tags = sample.get_nodal_tags(base_name="Base_2_2")
-sdf = sample.get_field("sdf", base_name="Base_2_2")
-angle_in = sample.get_scalar("angle_in")
-mach_out = sample.get_scalar("mach_out")
+nodes = sample_train_0.get_nodes(base_name="Base_2_2")
+elements = sample_train_0.get_elements(base_name="Base_2_2")
+nodal_tags = sample_train_0.get_nodal_tags(base_name="Base_2_2")
+sdf = sample_train_0.get_field("sdf", base_name="Base_2_2")
+angle_in = sample_train_0.get_scalar("angle_in")
+mach_out = sample_train_0.get_scalar("mach_out")
 
 # outputs
-mach = sample.get_field("mach", base_name="Base_2_2")
-nut = sample.get_field("nut", base_name="Base_2_2")
+mach = sample_train_0.get_field("mach", base_name="Base_2_2")
+nut = sample_train_0.get_field("nut", base_name="Base_2_2")
 
 for sn in ["Q", "power", "Pr", "Tr", "eth_is", "angle_out"]:
-    outscalar = sample.get_scalar(sn)
-
-# Get the mesh and convert it to Muscat
-from Muscat.Bridges import CGNSBridge
-CGNS_tree = sample.get_mesh()
-mesh_fluid = CGNSBridge.CGNSToMesh(CGNS_tree, baseNames=["Base_2_2"])
-print(mesh_fluid)
-mesh_blade = CGNSBridge.CGNSToMesh(CGNS_tree, baseNames=["Base_1_2"])
-print(mesh_blade)
+    outscalar = sample_train_0.get_scalar(sn)
 ```
 
 ## Dataset Details