Update README.md

README.md

@@ -2274,47 +2274,34 @@ 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/Rotor37", split="all_samples")
 
-# Get split ids
-ids_train = hf_dataset.description["split"]['train_1000']
-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_1000')
+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
 # inputs
-nodes = sample.get_nodes()
-elements = sample.get_elements()
+nodes = sample_train_0.get_nodes()
+elements = sample_train_0.get_elements()
 
 for fn in ['NormalsX', 'NormalsY', 'NormalsZ']:
-    field = sample.get_field(fn)
+    field = sample_train_0.get_field(fn)
 
 for sn in ['Omega', 'P']:
-    scalar = sample.get_scalar(sn)
+    scalar = sample_train_0.get_scalar(sn)
 
 # outputs
 for fn in ['Density', 'Pressure', 'Temperature']:
-    field = sample.get_field(fn)
+    field = sample_train_0.get_field(fn)
 
 for sn in ['Massflow', 'Compression_ratio', 'Efficiency']:
-    scalar = sample.get_scalar(sn)
-
-# Get the mesh and convert it to Muscat
-from Muscat.Bridges import CGNSBridge
-CGNS_tree = sample.get_mesh()
-mesh = CGNSBridge.CGNSToMesh(CGNS_tree)
-print(mesh)
+    scalar = sample_train_0.get_scalar(sn)
 ```
 
 ## Dataset Details