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Datasets:
turtlesprojectml
/
turtles

Tasks:
Time Series Forecasting
Modalities:
Image
Text
Time-series
Formats:
parquet
Size:
< 1K
Tags:
physics
computational-fluid-dynamics
cfd
navier-stokes
turbulence
aerodynamics
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
turtles

Commit History

Yesterday

  1. Upload cases.csv

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  2. Upload 4 files

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  3. Upload 4 files

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  4. Upload test.parquet

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  5. Upload test.parquet

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  6. Upload test.parquet

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  7. Upload test.parquet

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  8. Upload test.parquet

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  9. Upload test.parquet

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  10. Upload test.parquet

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  11. Rename catalogue/catalogue/val.parquet to catalogue/val.parquet

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  12. Rename catalogue/catalogue/train.parquet to catalogue/train.parquet

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  13. Rename catalogue/catalogue/test.parquet to catalogue/test.parquet

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  14. Rename catalogue/catalogue/reference.parquet to catalogue/reference.parquet

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  15. Delete catalogue/val.parquet

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  16. Delete catalogue/train.parquet

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  17. Delete catalogue/test.parquet

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  18. Delete catalogue/reference.parquet

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  19. Upload updated catalogue files

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  20. Rename reference.parquet to catalogue/reference.parquet

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  21. Rename val.parquet to catalogue/val.parquet

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  22. Rename train.parquet to catalogue/train.parquet

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  23. Rename test.parquet to catalogue/test.parquet

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  24. Update README.md

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  25. Upload cases list and parquet files for the dataset viewer

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  26. Delete cases.csv

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  27. Delete catalogue.parquet

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  28. Update README.md

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  29. Upload a cases overview (incl. split information) and the catalogue used to build the dataset viewer

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3 days ago

  1. Update README.md

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  2. Update README.md

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  3. Update README.md

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  4. Update README.md

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  5. Update README.md

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  6. Update README.md

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  7. Create README.md

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  8. Upload croissant.json

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  9. Add case-weighted normalisation statistics (each training trajectory counts equally)

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  10. stats.yaml recomputed on the 320-case training split (all frames, all points)

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9 days ago

  1. Remove placeholder init.txt files

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10 days ago

  1. Add Re3008_alpha10_a0p262_n5 (val)

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  2. Add Re3664_alpha16_a1p308_n5 (train)

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  3. Add Re3526_alpha4_a0p95_ninf (val)

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  4. Add Re3488_alpha20_a1p476_n2 (val)

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  5. Add Re3206_alpha26_a0p585_ninf (val)

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  6. Add Re3881_alpha44_a1p224_ninf (train)

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  7. Add Re2381_alpha44_a1p464_n5 (val)

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  8. Add Re1111_alpha22_a1p402_n5 (val)

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  9. Add Re3382_alpha29_a1p386_ninf (train)

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  10. Add Re3565_alpha20_a0p76_ninf (train)

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