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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ValueError
Message:      Invalid string class label P050W_V0.30mps_A00deg
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1500, in _prepare_split_single
                  example = self.info.features.encode_example(record) if self.info.features is not None else record
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2152, in encode_example
                  return encode_nested_example(self, example)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1437, in encode_nested_example
                  {k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1460, in encode_nested_example
                  return schema.encode_example(obj) if obj is not None else None
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1143, in encode_example
                  example_data = self.str2int(example_data)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1080, in str2int
                  output = [self._strval2int(value) for value in values]
                            ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1101, in _strval2int
                  raise ValueError(f"Invalid string class label {value}")
              ValueError: Invalid string class label P050W_V0.30mps_A00deg
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1342, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1345, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1523, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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image
image
label
class label
0fraction_of_fluid
0fraction_of_fluid
1gradient_magnitude
1gradient_magnitude
2liquid_label
2liquid_label
3melt_region
3melt_region
4pressure
4pressure
5temperature
5temperature
6temperature_gradient
6temperature_gradient
7velocity_magnitude
7velocity_magnitude
0fraction_of_fluid
0fraction_of_fluid
1gradient_magnitude
2liquid_label
2liquid_label
3melt_region
3melt_region
4pressure
4pressure
5temperature
5temperature
6temperature_gradient
7velocity_magnitude
0fraction_of_fluid
0fraction_of_fluid
1gradient_magnitude
2liquid_label
2liquid_label
3melt_region
3melt_region
4pressure
4pressure
5temperature
5temperature
6temperature_gradient
7velocity_magnitude
0fraction_of_fluid
0fraction_of_fluid
1gradient_magnitude
2liquid_label
2liquid_label
3melt_region
3melt_region
4pressure
4pressure
5temperature
5temperature
6temperature_gradient
7velocity_magnitude
0fraction_of_fluid
0fraction_of_fluid
1gradient_magnitude
2liquid_label
2liquid_label
3melt_region
3melt_region
4pressure
4pressure
5temperature
5temperature
6temperature_gradient
7velocity_magnitude
0fraction_of_fluid
0fraction_of_fluid
1gradient_magnitude
2liquid_label
2liquid_label
3melt_region
3melt_region
4pressure
4pressure
5temperature
5temperature
6temperature_gradient
7velocity_magnitude
0fraction_of_fluid
0fraction_of_fluid
1gradient_magnitude
2liquid_label
2liquid_label
3melt_region
3melt_region
4pressure
4pressure
5temperature
5temperature
6temperature_gradient
7velocity_magnitude
0fraction_of_fluid
0fraction_of_fluid
1gradient_magnitude
2liquid_label
2liquid_label
3melt_region
End of preview.

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Check out the documentation for more information.

AMT-FLOW-3D

This dataset consists of LPBF (Laser Powder Bed Fusion) melt pool simulations performed using FLOW-3D. Each row is one timestep from one simulation case, containing process parameters, mesh metadata, a per-timestep field volume, and image previews.


Dataset Configs

Load a specific field config:

from datasets import load_dataset

ds = load_dataset("ppak10/AMT-FLOW-3D", "temperature")

Available configs:

Config Volume Shape Description
temperature (50, 30, 30) Temperature field (K)
fraction_of_fluid (50, 30, 30) Fluid fraction (0–1)
liquid_label (50, 30, 30) Liquid region label
melt_region (50, 30, 30) Melt region mask
pressure (50, 30, 30) Pressure (dyne/cmΒ²)
temperature_gradient (50, 30, 30) Raw Z temperature gradient
velocity_magnitude (50, 30, 30) Velocity magnitude (cm/s)
gradient_magnitude (50, 30, 30) |βˆ‡T| from components (K/cm)
vx_vy_vz (50, 30, 30, 3) Velocity vector components (cm/s)
dtdx_dtdy_dtdz (50, 30, 30, 3) Temperature gradient components (K/cm)

Volumes are padded to (50, 30, 30) along the Z axis. The nz column indicates how many Z layers contain real data; layers nz:50 are zero-padded (except temperature, which is padded with T_ambient = 299.15 K).


Row Schema

Column Type Description
id string Case identifier, e.g. P100W_V0.30mps_A00deg
top_down_preview Image Top-down 2D projection frame for this timestep
volume_preview Image 3D volume render frame for this timestep
timestep_index int32 0-based index within the simulation
timestep_count int32 Total number of timesteps in this case
timestep float64 Simulation time (seconds)
power_w int32 Laser power (W)
velocity_mmps float64 Scanning velocity (mm/s)
angle_deg int32 Laser tilt angle (degrees)
spot_radius_mm float64 Laser spot radius (mm)
gauss_radius_mm float64 Laser Gaussian radius (mm)
beam_x_mm float64 Beam X position at this timestep (mm)
nx int32 Full mesh X cells
ny int32 Full mesh Y cells
nz int32 Actual Z cells (real data depth in padded volume)
mesh_bound_x_mm float64 Full mesh X extent (mm)
mesh_bound_y_mm float64 Full mesh Y extent (mm)
mesh_bound_z_mm float64 Full mesh Z extent (mm)
mesh_resolution_mm float64 Uniform cell size (mm)
material_name string Material name
t_liquidus_k float64 Liquidus temperature (K)
t_solidus_k float64 Solidus temperature (K)
volume float32 array Padded 3D field volume (see config for shape)

Simulation Coverage

62 cases, 120,113 total timesteps

  • Laser Power: 50, 100, 103, 150, 200, 250, 300, 350 W
  • Scanning Velocity: 0.3 – 2.4 m/s (19 values)
  • Laser Tilt Angle: 0Β°, 5Β°, 10Β°, 15Β°, 20Β°, 25Β°
  • Material: 316L Stainless Steel (T_solidus = 1674.15 K, T_liquidus = 1697.15 K)

Parameter Groups

Grid sweep (50–300 W Γ— 0.3–2.4 m/s, 0Β° angle): 8 power levels Γ— 8 velocity steps = 64 combinations (partial β€” high-power cases ongoing)

Angle sweep (350 W, 0.3 m/s): 6 tilt angles: 0Β°, 5Β°, 10Β°, 15Β°, 20Β°, 25Β°

ThermoPore parameters (103 W, 0Β° angle): 11 velocity values near the keyhole/conduction boundary (1.05–1.75 m/s)


Data Structure (on disk)

data/
β”œβ”€β”€ temperature/
β”‚   β”œβ”€β”€ P050W_V0.30mps_A00deg.parquet
β”‚   β”œβ”€β”€ P100W_V0.30mps_A00deg.parquet   ← ~1999 rows, one per timestep
β”‚   └── ...
β”œβ”€β”€ fraction_of_fluid/
β”‚   └── ...
└── ...

Technical Details

  • Simulator: FLOW-3D (CFD-based melt pool simulation)
  • Cell size: 20 Β΅m (uniform, isotropic)
  • Crop window: 30 Γ— 30 cells (0.6 mm Γ— 0.6 mm) centered on beam, adaptive Z
  • Max Z depth: 50 cells (1.0 mm)
  • Physics: Gaussian/keyhole heat source, phase change, surface tension, evaporation pressure
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