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Datasets:
MIGRATE
/
Surfdisp96-Roccastrada-10k-2025

Tasks:
Other
Languages:
multilingual
Size:
10K<n<100K
Tags:
seismic
dispersion-curves
Synthetic
forward-modeling
BayHunter
inverse-problem
License:
Dataset card Files
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  1. README.md +76 -5
  2. dataset_info.json +74 -0
  3. folds.json +72 -0
  4. sample.csv +109 -0
  5. sample_plot.png +3 -0
  6. shard_00000.parquet +3 -0
  7. shard_00001.parquet +3 -0
  8. shard_00002.parquet +3 -0
  9. shard_00003.parquet +3 -0
  10. shard_00004.parquet +3 -0
  11. shard_00005.parquet +3 -0
  12. shard_00006.parquet +3 -0
  13. shard_00007.parquet +3 -0
  14. shard_00008.parquet +3 -0
  15. shard_00009.parquet +3 -0
README.md CHANGED
@@ -1,5 +1,76 @@
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- ---
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- license: other
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- license_name: private
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- license_link: LICENSE
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: other
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+ pretty_name: sd96-roccastrada-10m
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+ task_categories:
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+ - other
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+ language:
7
+ - multilingual
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+ tags:
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+ - seismic
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+ - dispersion-curves
11
+ - synthetic
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+ - forward-modeling
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+ - BayHunter
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+ - inverse-problem
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+ size_categories:
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+ - 10K<n<100K
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+ ---
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+
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+ ## Dataset Description
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+ This dataset contains synthetic seismic models and their corresponding Rayleigh-wave dispersion curves, generated using forward modeling. It is designed for benchmarking inversion algorithms and training machine learning models in geophysics.
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+
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+ ## Data Structure
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+ Each sample contains the following fields:
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+
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+ ```json
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+ {
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+ "vs": [
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+ 2.3,
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+ 2.7,
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+ 3.2
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+ ],
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+ "z": [
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+ 1.2,
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+ 2.5,
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+ 5.0
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+ ],
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+ "vpvs": 1.73,
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+ "disp_x": [
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+ 1.0,
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+ 2.0,
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+ 3.0
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+ ],
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+ "disp_y": [
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+ 3.5,
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+ 3.3,
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+ 3.1
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+ ],
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+ "wave_type": "Rayleigh",
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+ "velocity_type": "group"
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+ }
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+ ```
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+
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+ ## Sample Visualization
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+ The dataset includes a visualization of a sample model and its dispersion curves. You can find this visualization in the `sample_plot.png` file in the dataset directory.
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+
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+ ![Sample Plot](sample_plot.png)
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+
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+ ## Generation Steps
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+ The dataset was generated using the following commands:
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+
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+ ```bash
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+ python3 migrate/cli/main.py generate-dataset-surfdisp96 --name Surfdisp96-Roccastrada-10m --pretty-name sd96-roccastrada-10m --description "This dataset contains synthetic seismic models and their corresponding Rayleigh-wave dispersion curves generated using forward modeling with the Roccastrada priors. It is designed for benchmarking inversion algorithms and training machine learning models in geophysics." license-name "other" --created-by "" --prior-file /datadisk/Projets/RECHERCHES/Recherches/MIGRATE/reps/migrate/conf/priors/roccastrada_prior.yaml --output-dir "/datadisk/Projets/RECHERCHES/Recherches/MIGRATE/reps/migrate/data/seismic/Dispsurf96-Roccastrada-10k" --n-samples 10000 --samples-per-shard 1000 --length 108 --test-ratio 0.2 --fold (2, 5, 10) --seed 43 --low-range 1.0,5.0 --middle-range 1.0,15.0 --high-range 1.0,30.0
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+ ```
64
+
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+ ## Download Instructions
66
+ You can download the dataset via the 🤗 Hub CLI:
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+
68
+ ```bash
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+ huggingface-cli download dataset <repo-id> --local-dir ./seismic-dataset
70
+ ```
71
+
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+ Or use `datasets` in Python:
73
+ ```python
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+ from datasets import load_dataset
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+ ds = load_dataset('<repo-id>', split='train')
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+ ```
dataset_info.json ADDED
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+ {
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+ "dataset_name": "Surfdisp96-Roccastrada-10m",
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+ "description": "This dataset contains synthetic seismic models and their corresponding Rayleigh-wave dispersion curves generated using forward modeling with the Roccastrada priors. It is designed for benchmarking inversion algorithms and training machine learning models in geophysics.",
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+ "dispersion_curve_length": 108
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+ },
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+ "folds": {
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+ "available": [
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+ "2fold",
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+ "5fold",
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+ "10fold"
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+ "fold_file": "folds.json"
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+ "creation_date": "2025-09-16 15:39:27",
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+ "type": "string"
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+ "velocity_type": {
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+ }
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+ }
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+ }
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sample_plot.png ADDED

Git LFS Details

  • SHA256: 9131e060ff0c28e2df972592c942d7ecec38dab36ba93c504e5e75edf3c1d671
  • Pointer size: 131 Bytes
  • Size of remote file: 103 kB
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