Update README.md

README.md

@@ -1281,28 +1281,46 @@ Mesh objects included in samples follow the [CGNS](https://cgns.github.io/) stan
 
 Example of commands:
 ```python
-import pickle
 from datasets import load_dataset
 from plaid.containers.sample import Sample
+import pickle
 
 # Load the dataset
-dataset = load_dataset("chanel/dataset", split="all_samples")
+hf_dataset = load_dataset("PLAID-datasets/Tensile2d", split="all_samples")
+
+# Get split ids
+ids_train = hf_dataset.description["split"]['train_500']
+ids_test  = hf_dataset.description["split"]['test']
+
+# Get inputs/outputs names
+in_scalars_names = hf_dataset.description["in_scalars_names"]
+out_fields_names = hf_dataset.description["out_fields_names"]
+
+# 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"]))
+
+# Examples data retrievals
+# inputs
+nodes = sample.get_nodes()
+elements = sample.get_elements()
+nodal_tags = sample.get_nodal_tags()
 
-# Get the first sample of the first split
-split_names = list(dataset.description["split"].keys())
-ids_split_0 = dataset.description["split"]['train_8']
-sample_0_split_0 = dataset[ids_split_0[0]]["sample"]
-plaid_sample = Sample.model_validate(pickle.loads(sample_0_split_0))
-print("type(plaid_sample) =", type(plaid_sample))
+for sn in ['P', 'p1', 'p2', 'p3', 'p4', 'p5']:
+    scalar = sample.get_scalar(sn)
 
-print("plaid_sample =", plaid_sample)
+# outputs
+for fn in ['U1', 'U2', 'q', 'sig11', 'sig22', 'sig12']:
+    field = sample.get_field(fn)
 
-# Get a field from the sample
-field_names = plaid_sample.get_field_names()
-field = plaid_sample.get_field(field_names[0])
-print("field_names[0] =", field_names[0])
+for sn in ['max_von_mises', 'max_q', 'max_U2_top', 'max_sig22_top']:
+    scalar = sample.get_scalar(sn)
 
-print("field.shape =", field.shape)
+# 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)
 ```
 
 ## Dataset Details