X_train
listlengths 400
400
| y_train
listlengths 400
400
| X_test
listlengths 100
100
| y_test
listlengths 100
100
| data_id
stringlengths 13
13
| graph_id
stringlengths 14
14
| target_idx
int64 0
19
| dataset_idx
int64 0
0
| n_train
int64 400
400
| n_test
int64 100
100
| n_features
int64 9
19
| adjacency_matrix
listlengths 10
20
| feature_mask
listlengths 9
19
| selection_method
stringclasses 1
value | parents
listlengths 9
19
| children
listlengths 9
19
| spouses
listlengths 9
19
| scm
dict | environment
dict | graph_meta
dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[[0.6530694964893629,-0.5542563859943824,0.7365885211850699,-0.6354770192820918,-0.273461476424731,0(...TRUNCATED)
| [-0.3961685609814249,-0.388921711298541,-0.9051587506591732,-0.6303419984893984,0.28658722794321295,(...TRUNCATED)
| [[-0.12182374394287346,0.13430897511418516,0.020769445083477476,-0.3706023560195448,0.39301504339484(...TRUNCATED)
| [0.19332082834480052,-0.11540505228281905,0.0036816307795902933,0.3050975601943352,-0.08544263982510(...TRUNCATED)
|
data_5093bead
|
graph_3f459434
| 4
| 0
| 400
| 100
| 19
| [[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[1,0,0,1,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0],[1,0,0,0,0,0,0,(...TRUNCATED)
|
[
1,
1,
1,
0,
1,
0,
0,
0,
0,
0,
0,
1,
1,
0,
0,
0,
1,
0,
0
] |
mb
|
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
1,
0,
0,
0,
0,
0,
0
] |
[
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
1,
0,
0,
0,
0,
1,
0,
0
] |
[
0,
1,
1,
0,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
{
"coeff_range": 1,
"functional": "linear",
"noise_std": 0.5,
"seed": 75
}
|
{
"method": "covariate",
"projection": "pca",
"shift_mean": 0.8,
"shift_std": 0.2,
"train_fraction": 0.8
}
|
{
"density": 0.0500000007,
"generation_method": "PA",
"num_edges": 19,
"num_nodes": 20
}
|
[[0.6159981834420879,-0.5542563859943824,0.7365885211850699,-1.0339062074151257,-0.273461476424731,1(...TRUNCATED)
| [-0.5979260029322572,-0.11302303947460413,-0.6612261027672606,-0.2873091165103241,0.9661143333635068(...TRUNCATED)
| [[-0.7820340341519588,-0.4071648750173243,-0.01062421217646822,0.3468188809922057,-0.619728878290554(...TRUNCATED)
| [1.2404258092342921,0.5359146995144225,-0.6285012330347939,-0.640279330434339,0.4914338205659561,0.7(...TRUNCATED)
|
data_265cc26c
|
graph_3f459434
| 4
| 0
| 400
| 100
| 19
| [[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[1,0,0,1,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0],[1,0,0,0,0,0,0,(...TRUNCATED)
|
[
1,
1,
1,
0,
1,
0,
0,
0,
0,
0,
0,
1,
1,
0,
0,
0,
1,
0,
0
] |
mb
|
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
1,
0,
0,
0,
0,
0,
0
] |
[
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
1,
0,
0,
0,
0,
1,
0,
0
] |
[
0,
1,
1,
0,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
{
"coeff_range": 1,
"functional": "nonlinear",
"noise_std": 0.5,
"seed": 75
}
|
{
"method": "covariate",
"projection": "pca",
"shift_mean": 0.8,
"shift_std": 0.2,
"train_fraction": 0.8
}
|
{
"density": 0.0500000007,
"generation_method": "PA",
"num_edges": 19,
"num_nodes": 20
}
|
[[0.2431907020161104,-0.014085046901953058,1.2615910849520677,-0.621474568700998,0.3457524844083554,(...TRUNCATED)
| [0.47856404516085316,-0.3195591036711221,0.19025767698244173,0.04308337244077426,1.1047926636283933,(...TRUNCATED)
| [[-0.23869598927506067,-0.011951827530640724,1.4657997332762958,0.5643995217747507,-0.16159226473535(...TRUNCATED)
| [-0.8698514508683719,-0.8739001235218355,-0.33911842047315227,-1.0026802902929732,-0.837266416670082(...TRUNCATED)
|
data_e3fd9c43
|
graph_40d90100
| 0
| 0
| 400
| 100
| 9
| [[0,1,0,0,0,0,0,0,1,0],[0,0,0,0,0,0,0,0,0,1],[0,0,0,0,0,1,0,0,0,0],[0,0,1,0,0,0,0,0,0,1],[0,0,0,0,0,(...TRUNCATED)
|
[
0,
1,
1,
1,
1,
1,
1,
0,
1
] |
mb
|
[
0,
1,
0,
1,
0,
0,
0,
0,
0
] |
[
0,
0,
0,
0,
0,
1,
1,
0,
0
] |
[
0,
0,
1,
0,
1,
0,
0,
0,
1
] |
{
"coeff_range": 1,
"functional": "nonlinear",
"noise_std": 0.5,
"seed": 50
}
|
{
"method": "label",
"projection": null,
"shift_mean": 0.8,
"shift_std": 0.2,
"train_fraction": 0.8
}
|
{
"density": 0.1222222224,
"generation_method": "ER",
"num_edges": 11,
"num_nodes": 10
}
|
[[0.3572006771566396,-0.4152554682744728,0.8676672817737311,-0.37751989026450866,-0.3514348838563544(...TRUNCATED)
| [-0.949346725794787,-0.26486482637468517,0.48259597870255344,-0.6262048005800283,0.6012479150972574,(...TRUNCATED)
| [[0.6613384801522715,0.32060519829379575,-1.1117291483667981,0.6773200085277318,-0.6620209741647137,(...TRUNCATED)
| [0.6682009728086258,-1.0071703219683361,0.661816026778888,-0.5888414445140002,0.41479203057885816,0.(...TRUNCATED)
|
data_81239373
|
graph_a663e6d4
| 6
| 0
| 400
| 100
| 9
| [[0,0,0,0,0,0,0,0,0,0],[1,0,1,0,1,0,0,0,0,1],[0,0,0,0,0,0,0,0,0,0],[0,1,0,0,0,0,0,0,0,0],[0,0,0,0,0,(...TRUNCATED)
|
[
0,
1,
0,
0,
0,
0,
1,
0,
1
] |
mb
|
[
0,
1,
0,
0,
0,
0,
0,
0,
1
] |
[
0,
0,
0,
0,
0,
0,
1,
0,
0
] |
[
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
{
"coeff_range": 1,
"functional": "linear",
"noise_std": 0.5,
"seed": 65
}
|
{
"method": "iid",
"projection": null,
"shift_mean": null,
"shift_std": null,
"train_fraction": 0.8
}
|
{
"density": 0.1000000015,
"generation_method": "PA",
"num_edges": 9,
"num_nodes": 10
}
|
[[0.07484734648903318,-0.2810172590674428,0.2556692261898742,0.43878269368311795,0.42507145357175835(...TRUNCATED)
| [0.012587209774011315,-0.4884703017286649,0.112800485123406,0.03260119836474028,0.42620367911915574,(...TRUNCATED)
| [[-0.8040998775397485,-0.6728982109703128,0.1783087851573107,-0.006333991459540778,-0.41585542123863(...TRUNCATED)
| [0.29622570334344794,-0.012401398523900042,0.11403535076563642,0.7870077032169325,0.0976127746801482(...TRUNCATED)
|
data_f27d9b30
|
graph_cbd67c56
| 3
| 0
| 400
| 100
| 9
| [[0,0,0,0,0,0,0,0,0,0],[0,0,0,0,1,0,0,0,0,0],[1,0,0,0,0,0,0,0,0,0],[1,1,0,0,0,0,0,0,0,0],[0,0,0,0,0,(...TRUNCATED)
|
[
1,
0,
1,
1,
0,
1,
1,
0,
0
] |
mb
|
[
0,
0,
0,
0,
0,
1,
0,
0,
0
] |
[
1,
0,
0,
0,
0,
0,
0,
0,
0
] |
[
0,
0,
1,
1,
0,
1,
1,
0,
0
] |
{
"coeff_range": 1,
"functional": "linear",
"noise_std": 0.5,
"seed": 52
}
|
{
"method": "iid",
"projection": null,
"shift_mean": null,
"shift_std": null,
"train_fraction": 0.8
}
|
{
"density": 0.1222222224,
"generation_method": "ER",
"num_edges": 11,
"num_nodes": 10
}
|
[[-0.10012966070058438,0.8286063056842,0.2981986399686712,0.91803934309561,0.5507315503912975,0.0835(...TRUNCATED)
| [-0.2083154768667444,-0.7008696768175922,0.4958557540613695,0.0919169240315508,0.9493685933961031,1.(...TRUNCATED)
| [[0.05665955479213752,0.1400937720042721,-1.11312824647497,0.7295221640595667,1.213241337319452,-0.5(...TRUNCATED)
| [-0.982014326873715,-1.0815596225689081,-0.9711101904176329,-0.5582611265968049,-0.7398903405799904,(...TRUNCATED)
|
data_7015111f
|
graph_22bb7592
| 6
| 0
| 400
| 100
| 19
| [[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,1,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0],[1,0,0,0,0,0,0,(...TRUNCATED)
|
[
0,
1,
0,
1,
1,
1,
1,
1,
1,
0,
1,
1,
0,
1,
1,
1,
1,
1,
1
] |
mb
|
[
0,
0,
0,
0,
0,
1,
1,
0,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
[
0,
0,
0,
1,
1,
0,
0,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
1,
0
] |
[
0,
1,
0,
1,
0,
1,
0,
0,
1,
0,
1,
1,
0,
1,
1,
1,
1,
0,
1
] |
{
"coeff_range": 1,
"functional": "nonlinear",
"noise_std": 0.5,
"seed": 62
}
|
{
"method": "covariate",
"projection": "pca",
"shift_mean": 0.8,
"shift_std": 0.2,
"train_fraction": 0.8
}
|
{
"density": 0.1684210598,
"generation_method": "ER",
"num_edges": 64,
"num_nodes": 20
}
|
[[1.93406122785894,-0.04638526473161603,-1.0171576945903038,0.2128738152481262,-0.6413723831186366,-(...TRUNCATED)
| [0.06806974714768366,0.8858449971295965,-0.6854819526125953,-0.80163945932283,-0.09158659953828395,-(...TRUNCATED)
| [[-0.4434660080400456,0.5392894484715804,0.9246631284041645,-0.59436222286687,0.10661428218395044,0.(...TRUNCATED)
| [-0.20604144484948006,0.14761007328541126,-0.856227103952486,-0.15213329849125917,0.2078358406528735(...TRUNCATED)
|
data_696ec9df
|
graph_604f5169
| 18
| 0
| 400
| 100
| 19
| [[0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0],[1,0,1,1,0,1,1,0,1,1,0,1,1,1,0,0,0,1,1,0],[1,0,0,1,0,1,0,(...TRUNCATED)
|
[
1,
1,
1,
0,
1,
0,
1,
0,
1,
0,
1,
0,
0,
0,
1,
0,
1,
0,
0
] |
mb
|
[
0,
0,
0,
0,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
[
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
[
0,
1,
1,
0,
1,
0,
1,
0,
1,
0,
1,
0,
0,
0,
1,
0,
1,
0,
0
] |
{
"coeff_range": 1,
"functional": "linear",
"noise_std": 0.5,
"seed": 81
}
|
{
"method": "iid",
"projection": null,
"shift_mean": null,
"shift_std": null,
"train_fraction": 0.8
}
|
{
"density": 0.1421052665,
"generation_method": "PA",
"num_edges": 54,
"num_nodes": 20
}
|
[[-0.27949512777894553,0.40805448387771787,-0.41750842147960704,-0.3503166363425977,-0.2828719342540(...TRUNCATED)
| [-0.6892648525378295,1.0448921683535402,-0.4420718332806456,0.7586367302508935,0.08371435267645738,0(...TRUNCATED)
| [[1.1675221969216272,0.19493419494603892,0.4241161794885456,0.39605623011371177,0.15055856980576898,(...TRUNCATED)
| [1.4578410777170001,-0.739922637206144,-0.3473058429588959,0.405777929734067,0.41662147756975354,-0.(...TRUNCATED)
|
data_7f7799fa
|
graph_e2e661cf
| 17
| 0
| 400
| 100
| 19
| [[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[1,0,0,0,0,0,0,(...TRUNCATED)
|
[
0,
0,
0,
0,
0,
0,
0,
1,
0,
0,
0,
0,
1,
0,
0,
1,
0,
0,
0
] |
mb
|
[
0,
0,
0,
0,
0,
0,
0,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
1,
0,
0,
0
] |
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
1,
0,
0,
0,
0,
0,
0
] |
{
"coeff_range": 1,
"functional": "linear",
"noise_std": 0.5,
"seed": 56
}
|
{
"method": "iid",
"projection": null,
"shift_mean": null,
"shift_std": null,
"train_fraction": 0.8
}
|
{
"density": 0.0394736826,
"generation_method": "ER",
"num_edges": 15,
"num_nodes": 20
}
|
[[-0.39970454586527415,0.9793543800727804,0.2138849821023642,0.6439816845266422,0.7083431542225281,-(...TRUNCATED)
| [0.9869874246422647,0.9079905751160466,1.205159485703716,1.1605653766517987,1.7703510549149253,2.067(...TRUNCATED)
| [[0.26930650766369063,-0.10149937029774167,-0.2854187784432228,-1.197496508927691,0.0745119857137586(...TRUNCATED)
| [0.6019546508224024,0.2702841187208641,0.1484113645786953,0.18283243864474075,0.4422033280892095,0.3(...TRUNCATED)
|
data_ab766988
|
graph_2b31fd27
| 5
| 0
| 400
| 100
| 19
| [[0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[1,0,0,0,0,0,0,(...TRUNCATED)
|
[
1,
0,
0,
0,
0,
0,
0,
1,
0,
1,
0,
0,
0,
1,
0,
0,
1,
1,
0
] |
mb
|
[
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
1,
0
] |
[
0,
0,
0,
0,
0,
0,
0,
1,
0,
1,
0,
0,
0,
0,
0,
0,
1,
0,
0
] |
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
1,
0,
0,
0,
0,
0
] |
{
"coeff_range": 1,
"functional": "nonlinear",
"noise_std": 0.5,
"seed": 77
}
|
{
"method": "label",
"projection": null,
"shift_mean": 0.8,
"shift_std": 0.2,
"train_fraction": 0.8
}
|
{
"density": 0.0500000007,
"generation_method": "PA",
"num_edges": 19,
"num_nodes": 20
}
|
[[0.1810936884801709,-0.010321460615766526,0.41991440061803476,1.2197356517247329,0.4625909419199113(...TRUNCATED)
| [0.013948093601497957,-0.08212554082357504,-0.19909200444932373,-1.0003358744169986,-0.0636884943883(...TRUNCATED)
| [[-0.016060790768745965,0.503952636765537,-0.4229981725424377,-1.4786025894061408,-0.723488732625472(...TRUNCATED)
| [-1.5222564962543517,0.32132623395279786,0.7148226608944296,-0.42992599199139925,0.00989207084417705(...TRUNCATED)
|
data_7f771f30
|
graph_d83867e0
| 7
| 0
| 400
| 100
| 19
| [[0,1,1,0,0,0,0,0,1,0,0,0,1,0,0,0,1,1,0,1],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,1,0,0,0,(...TRUNCATED)
|
[
1,
0,
0,
0,
0,
0,
0,
0,
0,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
mb
|
[
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
{
"coeff_range": 1,
"functional": "linear",
"noise_std": 0.5,
"seed": 73
}
|
{
"method": "iid",
"projection": null,
"shift_mean": null,
"shift_std": null,
"train_fraction": 0.8
}
|
{
"density": 0.0500000007,
"generation_method": "PA",
"num_edges": 19,
"num_nodes": 20
}
|
End of preview. Expand
in Data Studio
Final Ground Truth
This dataset is the same as the one in https://huggingface.co/datasets/CSE472-blanket-challenge/final-dataset.
The only difference is that test split has ground truth labels and metadata.
Load data
from datasets import load_dataset
train = load_dataset("CSE472-blanket-challenge/final-ground-truth", split='train')
test = load_dataset("CSE472-blanket-challenge/final-ground-truth", split='test')
- Downloads last month
- 16