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env_id int64 10 4.08k | env_params dict | trajectories array 3D |
|---|---|---|
3,939 | {
"advection_speed": 0.9611729491876803,
"diffusion": 0.5527727564102366
} | [[[0.0,-0.1863124817609787,-0.3698880672454834,-0.5480560660362244,-0.7182762622833252,-0.8781997561(...TRUNCATED) |
3,930 | {
"advection_speed": 0.9658352169297278,
"diffusion": 0.4220271341999307
} | [[[0.0,-0.05009763687849045,-0.0999264121055603,-0.14923124015331268,-0.19778411090373993,-0.2453963(...TRUNCATED) |
138 | {
"advection_speed": 0.04127364481693196,
"diffusion": 0.17382035958375475
} | [[[1.6543612251060553e-24,0.03271523118019104,0.06536543369293213,0.09788806736469269,0.130225583910(...TRUNCATED) |
3,329 | {
"advection_speed": 0.8173721530805009,
"diffusion": 0.03153744904417375
} | [[[0.0,-0.027070200070738792,-0.05470013618469238,-0.08343356102705002,-0.1137828379869461,-0.146214(...TRUNCATED) |
1,742 | {
"advection_speed": 0.43131835324797946,
"diffusion": 0.23691488896515414
} | [[[0.0,-0.07542882114648819,-0.1494714319705963,-0.22079487144947052,-0.28817039728164673,-0.3505208(...TRUNCATED) |
1,289 | {
"advection_speed": 0.3228905051696195,
"diffusion": 0.15037905368120738
} | [[[0.0,-0.05693181976675987,-0.11281028389930725,-0.1666054129600525,-0.21733349561691284,-0.2640784(...TRUNCATED) |
3,542 | {
"advection_speed": 0.8653385183403672,
"diffusion": 0.36286966645935215
} | [[[0.0,-0.10979373008012772,-0.21897348761558533,-0.32691818475723267,-0.43299320340156555,-0.536545(...TRUNCATED) |
1,606 | {
"advection_speed": 0.4046715687101601,
"diffusion": 0.11499260827718435
} | [[[0.0,0.011502516455948353,0.02316632866859436,0.03514817729592323,0.04759584739804268,0.0606443211(...TRUNCATED) |
2,090 | {
"advection_speed": 0.5179287293486837,
"diffusion": 0.665535893321101
} | [[[0.0,0.011253022588789463,0.022394629195332527,0.03331086039543152,0.04388280585408211,0.053984455(...TRUNCATED) |
484 | {
"advection_speed": 0.12095395141140496,
"diffusion": 0.5727659724623102
} | [[[0.0,-0.007799806073307991,-0.016049304977059364,-0.02518480457365513,-0.03561613708734512,-0.0477(...TRUNCATED) |
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disco-ad
Trajectories used in the ICML 2026 paper Test-Time Generalization via Neural Operator Splitting (Serrano et al.).
Format
Each HDF5 file contains:
trajectories: shape(N, T, C, *spatial), float32env_id: shape(N,), int64 — environment index for each trajectoryenv_params/*: optional metadata mapping env_id back to PDE coefficients
Load via the project's train_generic.py / test_generic.py scripts:
from train.train_generic import GenericHDF5Dataset
ds = GenericHDF5Dataset(["train.h5"])
Or using huggingface_hub:
from huggingface_hub import hf_hub_download
local = hf_hub_download(repo_id="sogeeking/disco-ad", filename="train.h5", repo_type="dataset")
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