Update README.md

README.md

@@ -368,17 +368,15 @@ import datasets
 import torch
 from torch.utils.data import DataLoader
 
-ds = datasets.load_dataset("proxima-fusion/constellaration", "full_flat")["train"]
-ds = ds.select_columns([c for c in ds.column_names
+full_flat_ds = datasets.load_dataset("proxima-fusion/constellaration", "full_flat")["train"]
+full_flat_ds = full_flat_ds.select_columns([c for c in full_flat_ds.column_names
                         if c.startswith("boundary.")
                         or c.startswith("metrics.")])
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
-ds_torch = ds.with_format("torch", device=device)  # other options: "jax", "tensorflow" etc.
+ds_torch = full_flat_ds.with_format("torch", device=device)  # other options: "jax", "tensorflow" etc.
 
-dataloader = DataLoader(ds_torch, batch_size=4)
-
-for batch in dataloader:
+for batch in DataLoader(ds_torch, batch_size=4):
     print(batch)
     break
 ```
@@ -387,105 +385,112 @@ for batch in dataloader:
 <summary>Output</summary>
 
 ```python
-{'boundary.is_stellarator_symmetric': tensor([True, True, True, True]),
- 'boundary.n_field_periods': tensor([5., 2., 5., 3.]),
- 'boundary.r_cos(0, 0)': tensor([0.9995, 0.9933, 1.0000, 1.0000]),
- 'boundary.r_cos(0, 1)': tensor([ 0.0008,  0.0957,  0.0978, -0.0658]),
- 'boundary.r_cos(0, 2)': tensor([-0.0166, -0.0522, -0.0358, -0.0385]),
- 'boundary.r_cos(0, 3)': tensor([ 0.0006, -0.0098,  0.0004,  0.0022]),
- 'boundary.r_cos(0, 4)': tensor([ 2.7140e-06, -5.2107e-04,  4.1021e-04,  4.6007e-04]),
- 'boundary.r_cos(1, -1)': tensor([-0.0774, -0.0480,  0.0674,  0.0142]),
- 'boundary.r_cos(1, -2)': tensor([-0.0254,  0.0015,  0.0327,  0.0565]),
- 'boundary.r_cos(1, -3)': tensor([-0.0036, -0.0002,  0.0047, -0.0110]),
- 'boundary.r_cos(1, -4)': tensor([ 0.0009, -0.0007,  0.0019, -0.0007]),
- 'boundary.r_cos(1, 0)': tensor([0.2136, 0.1506, 0.0668, 0.0835]),
- 'boundary.r_cos(1, 1)': tensor([-0.0430, -0.0009, -0.0421, -0.0468]),
- 'boundary.r_cos(1, 2)': tensor([ 0.0070,  0.0099,  0.0148, -0.0137]),
- 'boundary.r_cos(1, 3)': tensor([-0.0019,  0.0014, -0.0013,  0.0040]),
- 'boundary.r_cos(1, 4)': tensor([-0.0001, -0.0001, -0.0001,  0.0001]),
- 'boundary.r_cos(2, -1)': tensor([ 0.0222, -0.0189, -0.0043, -0.0197]),
- 'boundary.r_cos(2, -2)': tensor([ 0.0252, -0.0124, -0.0106,  0.0008]),
- 'boundary.r_cos(2, -3)': tensor([ 0.0063, -0.0054, -0.0039,  0.0047]),
- 'boundary.r_cos(2, -4)': tensor([ 0.0011,  0.0021, -0.0010, -0.0004]),
- 'boundary.r_cos(2, 0)': tensor([-0.0170, -0.0226, -0.0083, -0.0095]),
- 'boundary.r_cos(2, 1)': tensor([-1.9742e-03,  2.4878e-03, -6.7278e-05, -5.8859e-03]),
- 'boundary.r_cos(2, 2)': tensor([0.0030, 0.0017, 0.0003, 0.0010]),
- 'boundary.r_cos(2, 3)': tensor([-0.0009,  0.0002, -0.0010,  0.0009]),
- 'boundary.r_cos(2, 4)': tensor([ 0.0002,  0.0002,  0.0002, -0.0002]),
- 'boundary.r_cos(3, -1)': tensor([-0.0052, -0.0055,  0.0013, -0.0080]),
- 'boundary.r_cos(3, -2)': tensor([-0.0019, -0.0035,  0.0026, -0.0004]),
- 'boundary.r_cos(3, -3)': tensor([-0.0030,  0.0013,  0.0007,  0.0002]),
- 'boundary.r_cos(3, -4)': tensor([-0.0011,  0.0003,  0.0003,  0.0029]),
- 'boundary.r_cos(3, 0)': tensor([-0.0057, -0.0003, -0.0014,  0.0013]),
- 'boundary.r_cos(3, 1)': tensor([ 0.0021,  0.0029,  0.0010, -0.0005]),
- 'boundary.r_cos(3, 2)': tensor([-0.0001,  0.0011, -0.0008, -0.0007]),
- 'boundary.r_cos(3, 3)': tensor([1.6793e-04, 3.4548e-04, 4.4246e-04, 3.4558e-05]),
- 'boundary.r_cos(3, 4)': tensor([-4.5783e-05,  1.1368e-04, -1.1460e-04,  1.4845e-04]),
- 'boundary.r_cos(4, -1)': tensor([ 7.2199e-05,  1.2212e-04,  5.9814e-05, -5.6161e-04]),
- 'boundary.r_cos(4, -2)': tensor([ 0.0004,  0.0004, -0.0001, -0.0003]),
- 'boundary.r_cos(4, -3)': tensor([-0.0002, -0.0002, -0.0001, -0.0005]),
- 'boundary.r_cos(4, -4)': tensor([ 2.3317e-04,  7.7059e-05,  3.5259e-05, -1.2475e-04]),
- 'boundary.r_cos(4, 0)': tensor([ 1.3698e-04, -2.1361e-04, -5.7761e-04,  8.3187e-05]),
- 'boundary.r_cos(4, 1)': tensor([-7.0448e-05, -5.2118e-04,  3.7886e-04, -1.2714e-04]),
- 'boundary.r_cos(4, 2)': tensor([ 0.0003, -0.0002, -0.0002, -0.0002]),
- 'boundary.r_cos(4, 3)': tensor([-9.0838e-05, -1.6513e-04,  6.7852e-05,  4.1940e-06]),
- 'boundary.r_cos(4, 4)': tensor([-6.2693e-06,  1.4236e-06, -3.0395e-05, -4.5643e-05]),
- 'boundary.z_sin(0, 1)': tensor([-0.1963, -0.4660,  0.0626, -0.0143]),
- 'boundary.z_sin(0, 2)': tensor([ 0.0197, -0.0487,  0.0186,  0.0149]),
- 'boundary.z_sin(0, 3)': tensor([-0.0022, -0.0056,  0.0017, -0.0066]),
- 'boundary.z_sin(0, 4)': tensor([ 6.1945e-04, -2.5693e-03,  3.3028e-05, -3.0652e-04]),
- 'boundary.z_sin(1, -1)': tensor([-0.0737, -0.0783,  0.0069, -0.0228]),
- 'boundary.z_sin(1, -2)': tensor([-0.0346,  0.0154,  0.0488,  0.0576]),
- 'boundary.z_sin(1, -3)': tensor([-0.0038, -0.0004,  0.0128, -0.0016]),
- 'boundary.z_sin(1, -4)': tensor([-5.1524e-04, -2.2537e-03,  1.7765e-03,  9.6958e-05]),
- 'boundary.z_sin(1, 0)': tensor([-0.0947, -0.1091, -0.1901, -0.1610]),
- 'boundary.z_sin(1, 1)': tensor([0.0144, 0.0656, 0.0731, 0.0166]),
- 'boundary.z_sin(1, 2)': tensor([-0.0049,  0.0008, -0.0216,  0.0150]),
- 'boundary.z_sin(1, 3)': tensor([ 0.0011, -0.0014,  0.0032, -0.0012]),
- 'boundary.z_sin(1, 4)': tensor([ 0.0002,  0.0015, -0.0005, -0.0004]),
- 'boundary.z_sin(2, -1)': tensor([-0.0140,  0.0100,  0.0049, -0.0189]),
- 'boundary.z_sin(2, -2)': tensor([ 0.0140,  0.0016, -0.0162, -0.0114]),
- 'boundary.z_sin(2, -3)': tensor([ 0.0048, -0.0015, -0.0107,  0.0036]),
- 'boundary.z_sin(2, -4)': tensor([ 0.0009,  0.0024, -0.0018, -0.0010]),
- 'boundary.z_sin(2, 0)': tensor([ 0.0142, -0.0110,  0.0052, -0.0008]),
- 'boundary.z_sin(2, 1)': tensor([ 0.0004, -0.0072, -0.0033,  0.0095]),
- 'boundary.z_sin(2, 2)': tensor([-0.0008, -0.0030,  0.0036, -0.0005]),
- 'boundary.z_sin(2, 3)': tensor([-2.4587e-04, -1.4641e-03, -6.1073e-05, -5.5180e-04]),
- 'boundary.z_sin(2, 4)': tensor([-4.4745e-05,  1.1328e-04, -5.3629e-05,  3.2248e-04]),
- 'boundary.z_sin(3, -1)': tensor([ 0.0137,  0.0037, -0.0037,  0.0090]),
- 'boundary.z_sin(3, -2)': tensor([-0.0037, -0.0089, -0.0025, -0.0084]),
- 'boundary.z_sin(3, -3)': tensor([-0.0052,  0.0009, -0.0015, -0.0025]),
- 'boundary.z_sin(3, -4)': tensor([-0.0011,  0.0014, -0.0002,  0.0023]),
- 'boundary.z_sin(3, 0)': tensor([ 0.0012, -0.0005, -0.0001, -0.0020]),
- 'boundary.z_sin(3, 1)': tensor([-0.0007,  0.0040,  0.0003, -0.0016]),
- 'boundary.z_sin(3, 2)': tensor([-0.0006, -0.0003,  0.0005,  0.0008]),
- 'boundary.z_sin(3, 3)': tensor([ 0.0002,  0.0003, -0.0004,  0.0004]),
- 'boundary.z_sin(3, 4)': tensor([-5.6412e-05,  1.0018e-04,  5.2259e-05, -6.8400e-05]),
- 'boundary.z_sin(4, -1)': tensor([ 3.2419e-05, -4.5468e-04,  1.1803e-03,  5.0270e-04]),
- 'boundary.z_sin(4, -2)': tensor([ 3.0922e-04, -2.3282e-03, -6.1121e-05,  6.0890e-04]),
- 'boundary.z_sin(4, -3)': tensor([ 0.0006,  0.0007, -0.0003, -0.0002]),
- 'boundary.z_sin(4, -4)': tensor([ 1.5477e-04,  2.9187e-04,  9.7048e-05, -3.6228e-04]),
- 'boundary.z_sin(4, 0)': tensor([ 0.0002,  0.0010, -0.0004, -0.0007]),
- 'boundary.z_sin(4, 1)': tensor([-6.8060e-04,  6.0775e-04,  4.5423e-04, -7.6356e-05]),
- 'boundary.z_sin(4, 2)': tensor([ 0.0002, -0.0004, -0.0003,  0.0002]),
- 'boundary.z_sin(4, 3)': tensor([-5.1384e-05,  5.7630e-05,  9.2855e-05, -3.2524e-05]),
- 'boundary.z_sin(4, 4)': tensor([ 3.9863e-05, -1.2590e-04, -4.8167e-06,  5.3396e-05]),
+{'metrics.id': ['DfpsEPzxXHTUgveVPNFVxyw',
+                'D6ydRp85utx9ZXqZVXbez8G',
+                'DLfSjAoEr26nCNet4S84XET',
+                'DBVNupAx3tW54uUz5bGQfyT'],
+ 'metrics.qi': tensor([0.0101, 0.0007, 0.0249, 0.0148]),
+ 'metrics.vacuum_well': tensor([-0.0216, -0.0756, -0.1321, -0.2297]),
  'metrics.aspect_ratio': tensor([7.7955, 8.7009, 8.3073, 9.6474]),
- 'metrics.aspect_ratio_over_edge_rotational_transform': tensor([ 4.7622, 39.3853,  7.4686,  9.3211]),
+ 'metrics.max_elongation': tensor([7.9947, 5.7292, 5.6427, 6.7565]),
  'metrics.average_triangularity': tensor([ 0.6554, -0.6067, -0.3194, -0.5184]),
  'metrics.axis_magnetic_mirror_ratio': tensor([0.2098, 0.2465, 0.5243, 0.2823]),
- 'metrics.axis_rotational_transform_over_n_field_periods': tensor([0.3285, 0.2195, 0.2377, 0.2333]),
  'metrics.edge_magnetic_mirror_ratio': tensor([0.3518, 0.2744, 0.7742, 0.4869]),
- 'metrics.edge_rotational_transform_over_n_field_periods': tensor([0.3274, 0.1105, 0.2225, 0.3450]),
+ 'metrics.aspect_ratio_over_edge_rotational_transform': tensor([ 4.7622, 39.3853,  7.4686,  9.3211]),
  'metrics.flux_compression_in_regions_of_bad_curvature': tensor([2.0642, 1.6771, 1.6702, 1.4084]),
- 'metrics.id': ['DfpsEPzxXHTUgveVPNFVxyw',
-                'D6ydRp85utx9ZXqZVXbez8G',
-                'DLfSjAoEr26nCNet4S84XET',
-                'DBVNupAx3tW54uUz5bGQfyT'],
- 'metrics.max_elongation': tensor([7.9947, 5.7292, 5.6427, 6.7565]),
+ 'metrics.axis_rotational_transform_over_n_field_periods': tensor([0.3285, 0.2195, 0.2377, 0.2333]),
+ 'metrics.edge_rotational_transform_over_n_field_periods': tensor([0.3274, 0.1105, 0.2225, 0.3450]),
  'metrics.minimum_normalized_magnetic_gradient_scale_length': tensor([5.0333, 4.4903, 2.7130, 5.9777]),
- 'metrics.qi': tensor([0.0101, 0.0007, 0.0249, 0.0148]),
- 'metrics.vacuum_well': tensor([-0.0216, -0.0756, -0.1321, -0.2297])}
+ 'boundary.r_cos': tensor([[[ 0.0000e+00,  0.0000e+00,  0.0000e+00,  0.0000e+00,  9.9949e-01,
+           7.6796e-04, -1.6605e-02,  5.5780e-04,  2.7140e-06],
+         [ 9.0751e-04, -3.6262e-03, -2.5385e-02, -7.7356e-02,  2.1363e-01,
+          -4.3046e-02,  7.0488e-03, -1.9437e-03, -1.4148e-04],
+         [ 1.1192e-03,  6.2549e-03,  2.5220e-02,  2.2216e-02, -1.7012e-02,
+          -1.9742e-03,  3.0245e-03, -8.5555e-04,  1.9455e-04],
+         [-1.0992e-03, -3.0390e-03, -1.9017e-03, -5.2155e-03, -5.7048e-03,
+           2.0575e-03, -1.1494e-04,  1.6793e-04, -4.5783e-05],
+         [ 2.3317e-04, -2.0280e-04,  4.0296e-04,  7.2199e-05,  1.3698e-04,
+          -7.0448e-05,  2.9516e-04, -9.0838e-05, -6.2693e-06]],
+
+        [[ 0.0000e+00,  0.0000e+00,  0.0000e+00,  0.0000e+00,  9.9334e-01,
+           9.5655e-02, -5.2197e-02, -9.8426e-03, -5.2107e-04],
+         [-6.9068e-04, -2.0027e-04,  1.4961e-03, -4.8040e-02,  1.5062e-01,
+          -8.6001e-04,  9.8727e-03,  1.3859e-03, -1.4257e-04],
+         [ 2.1268e-03, -5.4152e-03, -1.2367e-02, -1.8891e-02, -2.2634e-02,
+           2.4878e-03,  1.7472e-03,  1.7854e-04,  1.5837e-04],
+         [ 2.9863e-04,  1.3137e-03, -3.4623e-03, -5.5232e-03, -2.7664e-04,
+           2.9050e-03,  1.1163e-03,  3.4548e-04,  1.1368e-04],
+         [ 7.7059e-05, -2.3845e-04,  4.4021e-04,  1.2212e-04, -2.1361e-04,
+          -5.2118e-04, -1.5413e-04, -1.6513e-04,  1.4236e-06]],
+
+        [[ 0.0000e+00,  0.0000e+00,  0.0000e+00,  0.0000e+00,  1.0000e+00,
+           9.7826e-02, -3.5796e-02,  4.3583e-04,  4.1021e-04],
+         [ 1.8546e-03,  4.6983e-03,  3.2687e-02,  6.7351e-02,  6.6784e-02,
+          -4.2107e-02,  1.4765e-02, -1.3257e-03, -1.3003e-04],
+         [-9.6934e-04, -3.8986e-03, -1.0552e-02, -4.2583e-03, -8.3177e-03,
+          -6.7278e-05,  3.3263e-04, -1.0408e-03,  2.2868e-04],
+         [ 2.6668e-04,  6.7729e-04,  2.6165e-03,  1.2503e-03, -1.4094e-03,
+           9.9661e-04, -8.1563e-04,  4.4246e-04, -1.1460e-04],
+         [ 3.5259e-05, -1.1595e-04, -1.3741e-04,  5.9814e-05, -5.7761e-04,
+           3.7886e-04, -1.9925e-04,  6.7852e-05, -3.0395e-05]],
+
+        [[ 0.0000e+00,  0.0000e+00,  0.0000e+00,  0.0000e+00,  1.0000e+00,
+          -6.5763e-02, -3.8500e-02,  2.2178e-03,  4.6007e-04],
+         [-6.6648e-04, -1.0976e-02,  5.6475e-02,  1.4193e-02,  8.3476e-02,
+          -4.6767e-02, -1.3679e-02,  3.9562e-03,  1.0087e-04],
+         [-3.5474e-04,  4.7144e-03,  8.3967e-04, -1.9705e-02, -9.4592e-03,
+          -5.8859e-03,  1.0172e-03,  9.2020e-04, -2.0059e-04],
+         [ 2.9056e-03,  1.6125e-04, -4.0626e-04, -8.0189e-03,  1.3228e-03,
+          -5.3636e-04, -7.3536e-04,  3.4558e-05,  1.4845e-04],
+         [-1.2475e-04, -4.9942e-04, -2.6091e-04, -5.6161e-04,  8.3187e-05,
+          -1.2714e-04, -2.1174e-04,  4.1940e-06, -4.5643e-05]]]),
+ 'boundary.z_sin': tensor([[[ 0.0000e+00,  0.0000e+00,  0.0000e+00,  0.0000e+00,  0.0000e+00,
+          -1.9626e-01,  1.9675e-02, -2.2323e-03,  6.1945e-04],
+         [-5.1524e-04, -3.8208e-03, -3.4611e-02, -7.3697e-02, -9.4725e-02,
+           1.4401e-02, -4.8538e-03,  1.1153e-03,  1.8119e-04],
+         [ 8.8862e-04,  4.7645e-03,  1.4034e-02, -1.3992e-02,  1.4160e-02,
+           3.7312e-04, -7.9215e-04, -2.4587e-04, -4.4745e-05],
+         [-1.1121e-03, -5.1679e-03, -3.6563e-03,  1.3666e-02,  1.2211e-03,
+          -7.2069e-04, -6.1250e-04,  2.2509e-04, -5.6412e-05],
+         [ 1.5477e-04,  6.2145e-04,  3.0922e-04,  3.2419e-05,  2.4620e-04,
+          -6.8060e-04,  1.9615e-04, -5.1384e-05,  3.9863e-05]],
+
+        [[ 0.0000e+00,  0.0000e+00,  0.0000e+00,  0.0000e+00,  0.0000e+00,
+          -4.6604e-01, -4.8706e-02, -5.5774e-03, -2.5693e-03],
+         [-2.2537e-03, -3.5303e-04,  1.5423e-02, -7.8331e-02, -1.0906e-01,
+           6.5595e-02,  8.1187e-04, -1.4336e-03,  1.4737e-03],
+         [ 2.4240e-03, -1.4512e-03,  1.5746e-03,  1.0027e-02, -1.0979e-02,
+          -7.1742e-03, -3.0459e-03, -1.4641e-03,  1.1328e-04],
+         [ 1.3788e-03,  9.4350e-04, -8.9247e-03,  3.6596e-03, -5.4934e-04,
+           4.0136e-03, -2.9544e-04,  3.2837e-04,  1.0018e-04],
+         [ 2.9187e-04,  7.0291e-04, -2.3282e-03, -4.5468e-04,  1.0021e-03,
+           6.0775e-04, -3.5128e-04,  5.7630e-05, -1.2590e-04]],
+
+        [[ 0.0000e+00,  0.0000e+00,  0.0000e+00,  0.0000e+00,  0.0000e+00,
+           6.2592e-02,  1.8552e-02,  1.7140e-03,  3.3028e-05],
+         [ 1.7765e-03,  1.2827e-02,  4.8849e-02,  6.8718e-03, -1.9011e-01,
+           7.3130e-02, -2.1610e-02,  3.1883e-03, -5.4797e-04],
+         [-1.7520e-03, -1.0653e-02, -1.6171e-02,  4.8786e-03,  5.1656e-03,
+          -3.2699e-03,  3.5506e-03, -6.1073e-05, -5.3629e-05],
+         [-2.1859e-04, -1.4518e-03, -2.4928e-03, -3.6855e-03, -1.1030e-04,
+           2.5252e-04,  4.9944e-04, -3.5102e-04,  5.2259e-05],
+         [ 9.7048e-05, -3.4866e-04, -6.1121e-05,  1.1803e-03, -4.2218e-04,
+           4.5423e-04, -2.6355e-04,  9.2855e-05, -4.8167e-06]],
+
+        [[ 0.0000e+00,  0.0000e+00,  0.0000e+00,  0.0000e+00,  0.0000e+00,
+          -1.4295e-02,  1.4929e-02, -6.6461e-03, -3.0652e-04],
+         [ 9.6958e-05, -1.6067e-03,  5.7568e-02, -2.2848e-02, -1.6101e-01,
+           1.6560e-02,  1.5032e-02, -1.2463e-03, -4.0128e-04],
+         [-9.9541e-04,  3.6108e-03, -1.1401e-02, -1.8894e-02, -7.7459e-04,
+           9.4527e-03, -4.6871e-04, -5.5180e-04,  3.2248e-04],
+         [ 2.3465e-03, -2.4885e-03, -8.4212e-03,  8.9649e-03, -1.9880e-03,
+          -1.6269e-03,  8.4700e-04,  3.7171e-04, -6.8400e-05],
+         [-3.6228e-04, -1.8575e-04,  6.0890e-04,  5.0270e-04, -6.9953e-04,
+          -7.6356e-05,  2.3796e-04, -3.2524e-05,  5.3396e-05]]]),
+ 'boundary.r_sin': tensor([nan, nan, nan, nan]),
+ 'boundary.z_cos': tensor([nan, nan, nan, nan]),
+ 'boundary.n_field_periods': tensor([5., 2., 5., 3.]),
+ 'boundary.is_stellarator_symmetric': tensor([True, True, True, True])}
 ```
 </details>
 </div>
@@ -502,15 +507,15 @@ full_json_ds = datasets.load_dataset("proxima-fusion/constellaration", "full_jso
 full_json_df = full_json_ds.to_pandas().set_index("plasma_config_id")
 
 plasma_config_id = "DQ4abEQAQjFPGp9nPQN9Vjf"
-boundary_json = full_json_df.loc[plasma_config_id]["boundary.surface"]
+boundary_json = full_json_df.loc[plasma_config_id]["boundary.json"]
 boundary = surface_rz_fourier.SurfaceRZFourier.model_validate_json(boundary_json)
 ```
 Plot boundary:
 ```python
 from constellaration.utils import visualization
 
-visualization.plot_surface(boundary)
-visualization.plot_boundary(boundary)
+visualization.plot_surface(boundary).show()
+visualization.plot_boundary(boundary).get_figure().show()
 ```
 Boundary                   | Cross-sections
 :-------------------------:|:-------------------------:
@@ -520,19 +525,21 @@ Stream and instantiate the VMEC ideal MHD equilibria:
 ```python
 import datasets
 from constellaration.mhd import vmec_utils
+from constellaration.geometry import surface_rz_fourier
 
-ds = datasets.load_dataset("proxima-fusion/constellaration", "vmecpp_ideal_mhd_equilibria", streaming=True)["train"]
-
-ds = ds.filter(lambda row: row["vmecpp_wout_json"] is not None)
+vmec_wout_ds = datasets.load_dataset("proxima-fusion/constellaration", "vmecpp_ideal_mhd_equilibria", streaming=True)["train"]
+vmec_wout_ds = vmec_wout_ds.filter(lambda row: row["vmecpp_wout_json"] is not None)
 
-row = next(ds.__iter__())
+row = next(vmec_wout_ds.__iter__())
 
 vmecpp_wout_json = row["vmecpp_wout_json"]
 vmecpp_wout = vmec_utils.VmecppWOut.model_validate_json(vmecpp_wout_json)
 
 # Fetch corresponding boundary
+full_json_ds = datasets.load_dataset("proxima-fusion/constellaration", "full_json")["train"]
+full_json_df = full_json_ds.to_pandas().set_index("plasma_config_id")
 plasma_config_id = row["plasma_config_id"]
-boundary_json = full_json_df.loc[plasma_config_id]["boundary.surface"]
+boundary_json = full_json_df.loc[plasma_config_id]["boundary.json"]
 boundary = surface_rz_fourier.SurfaceRZFourier.model_validate_json(boundary_json)
 ```
 Plot flux surfaces: