### General Information 
Training dataset for the ML-GLE framework containing 11 coarse-grained simulations of a Butadiene Rubber polymer melt from 300K to 400K. 
Files are in .pt torch format, each containing a tensor constituted in this way:

[NSTEPS, NPOLYMERS, NBEADS, 3]

NSTEPS=1000,
NPOLYMERS=100,
NBEADS=100,

### Simulation 
Each simulation has been performed at a timestep of 50fms, and snapshot sampled each 2k steps(100ps), for a total length of 10 microseconds,
meaning 100k steps. 
The dataset contains the real space trajectories for 1000 steps.

task_categories:time-series-forecasting size_categories:100M<n<1B region:us
{"size_categories": ["100M<n<1B"], "task_categories": ["time-series-forecasting"]}
TAGS
#task_categories-time-series-forecasting #size_categories-100M<n<1B #region-us 

### General Information 
Training dataset for the ML-GLE framework containing 11 coarse-grained simulations of a Butadiene Rubber polymer melt from 300K to 400K. 
Files are in .pt torch format, each containing a tensor constituted in this way:

[NSTEPS, NPOLYMERS, NBEADS, 3]

NSTEPS=1000,
NPOLYMERS=100,
NBEADS=100,

### Simulation 
Each simulation has been performed at a timestep of 50fms, and snapshot sampled each 2k steps(100ps), for a total length of 10 microseconds,
meaning 100k steps. 
The dataset contains the real space trajectories for 1000 steps.

### General Information 
Training dataset for the ML-GLE framework containing 11 coarse-grained simulations of a Butadiene Rubber polymer melt from 300K to 400K. 
Files are in .pt torch format, each containing a tensor constituted in this way:

[NSTEPS, NPOLYMERS, NBEADS, 3]

NSTEPS=1000,
NPOLYMERS=100,
NBEADS=100, ### Simulation 
Each simulation has been performed at a timestep of 50fms, and snapshot sampled each 2k steps(100ps), for a total length of 10 microseconds,
meaning 100k steps. 
The dataset contains the real space trajectories for 1000 steps.
TAGS
#task_categories-time-series-forecasting #size_categories-100M<n<1B #region-us 
 ### General Information 
Training dataset for the ML-GLE framework containing 11 coarse-grained simulations of a Butadiene Rubber polymer melt from 300K to 400K. 
Files are in .pt torch format, each containing a tensor constituted in this way:

[NSTEPS, NPOLYMERS, NBEADS, 3]

NSTEPS=1000,
NPOLYMERS=100,
NBEADS=100, ### Simulation 
Each simulation has been performed at a timestep of 50fms, and snapshot sampled each 2k steps(100ps), for a total length of 10 microseconds,
meaning 100k steps. 
The dataset contains the real space trajectories for 1000 steps.
passage: TAGS
#task_categories-time-series-forecasting #size_categories-100M<n<1B #region-us 
### General Information 
Training dataset for the ML-GLE framework containing 11 coarse-grained simulations of a Butadiene Rubber polymer melt from 300K to 400K. 
Files are in .pt torch format, each containing a tensor constituted in this way:

[NSTEPS, NPOLYMERS, NBEADS, 3]

NSTEPS=1000,
NPOLYMERS=100,
NBEADS=100,### Simulation 
Each simulation has been performed at a timestep of 50fms, and snapshot sampled each 2k steps(100ps), for a total length of 10 microseconds,
meaning 100k steps. 
The dataset contains the real space trajectories for 1000 steps.