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  ---
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  dataset_info:
 
 
 
 
 
 
 
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  features:
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  - name: timestamp
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  dtype: timestamp[us]
 
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  - name: source
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  dtype: large_string
 
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  - name: frame
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  dtype: int64
 
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  - name: strand
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  dtype: int64
 
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  - name: vertex_id
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  dtype: int64
 
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  - name: pos_x
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  dtype: float64
 
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  - name: pos_y
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  dtype: float64
 
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  - name: pos_z
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  dtype: float64
 
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  - name: vel_x
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  dtype: float64
 
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  - name: vel_y
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  dtype: float64
 
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  - name: vel_z
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  dtype: float64
 
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  - name: force_x
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  dtype: float64
 
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  - name: force_y
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  dtype: float64
 
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  - name: force_z
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  dtype: float64
 
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  - name: boundary
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  dtype: large_string
 
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  - name: curvature
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  dtype: float64
 
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  - name: torsion
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  dtype: int64
 
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  - name: prev_segment_direction
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  list: float64
 
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  - name: prev_segment_length
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  dtype: float64
 
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  - name: next_segment_direction
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  list: float64
 
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  - name: next_segment_length
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  dtype: float64
 
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  splits:
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  - name: train
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  num_bytes: 910701331
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  num_examples: 4265580
 
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  - name: validation
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  num_bytes: 80318700
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  num_examples: 376200
 
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  - name: test
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  num_bytes: 98406420
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  num_examples: 460920
 
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  download_size: 485950046
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  dataset_size: 1089426451
 
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  configs:
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  - config_name: default
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  data_files:
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  - split: train
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  path: data/train-*
 
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  - split: validation
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  path: data/validation-*
 
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  - split: test
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  path: data/test-*
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- ---
 
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  ---
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  dataset_info:
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+ description: |
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+ This dataset contains synthetic data generated from Discrete Elastic Rods (DER) simulations, a physical model commonly used to represent deformable slender structures such as hair strands, ropes, cables, and elastic fibers. The data was collected frame-by-frame during the simulations and includes geometric, kinematic, and physical information for each simulated rod vertex.
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+
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+ The dataset is intended for machine learning applications, particularly for training and evaluating Graph Neural Networks (GCNs) focused on physical regression, dynamics prediction, and approximation of deformable systems behavior.
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+
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+ Each sample represents the state of a vertex at a specific simulation frame, containing positional, velocity, force, curvature, torsion, and neighboring segment information.
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+
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  features:
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  - name: timestamp
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  dtype: timestamp[us]
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+
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  - name: source
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  dtype: large_string
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+
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  - name: frame
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  dtype: int64
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+
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  - name: strand
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  dtype: int64
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+
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  - name: vertex_id
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  dtype: int64
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+
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  - name: pos_x
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  dtype: float64
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+
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  - name: pos_y
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  dtype: float64
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+
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  - name: pos_z
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  dtype: float64
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+
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  - name: vel_x
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  dtype: float64
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+
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  - name: vel_y
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  dtype: float64
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+
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  - name: vel_z
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  dtype: float64
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+
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  - name: force_x
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  dtype: float64
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+
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  - name: force_y
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  dtype: float64
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+
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  - name: force_z
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  dtype: float64
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+
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  - name: boundary
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  dtype: large_string
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+
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  - name: curvature
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  dtype: float64
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+
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  - name: torsion
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  dtype: int64
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+
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  - name: prev_segment_direction
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  list: float64
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+
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  - name: prev_segment_length
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  dtype: float64
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+
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  - name: next_segment_direction
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  list: float64
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+
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  - name: next_segment_length
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  dtype: float64
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+
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  splits:
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  - name: train
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  num_bytes: 910701331
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  num_examples: 4265580
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+
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  - name: validation
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  num_bytes: 80318700
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  num_examples: 376200
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+
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  - name: test
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  num_bytes: 98406420
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  num_examples: 460920
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+
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  download_size: 485950046
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  dataset_size: 1089426451
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+
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  configs:
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  - config_name: default
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  data_files:
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  - split: train
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  path: data/train-*
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+
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  - split: validation
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  path: data/validation-*
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+
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  - split: test
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  path: data/test-*
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+ ---