Dataset Viewer
num_epochs
int64 | batches_per_epoch
int64 | num_batches
int64 | batch_size
int64 | nc_values
list | nb
int64 | total_points
int64 | dim_x
int64 | dim_y
int64 | dtype
string | keys
list | subset
string | mode
string | normalized
bool | normalization_stats
dict | note
string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
200 | 243 | 48,600 | 32 |
[
8,
16,
32,
64,
128,
192
] | 8 | 256 | 1 | 7 |
torch.float32
|
[
"xc",
"yc",
"xb",
"yb",
"xt",
"yt",
"mask",
"nc",
"nb",
"nt"
] |
train
|
interpolation
| true |
{
"channel_means": [
-1.0505815365851696,
-0.945826896849366,
-0.8951217496315046,
-0.9544344924578645,
-0.8026160584825981,
-1.0737637504806485,
-0.6995819431315691
],
"channel_stds": [
7.936269910734056,
8.074584970742736,
8.120841462956623,
8.49618866572171,
9.561117296710096,
9.863664912638022,
9.792683601834195
],
"channels": [
"FZ",
"F1",
"F2",
"F3",
"F4",
"F5",
"F6"
],
"num_trials": 7802,
"subset": "train"
}
|
Context size varies per batch; targets = 256 - nc - 8.
|
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