Datasets:
scm_id int64 0 10k | structure stringclasses 10
values | tier int64 1 3 | n_vars int64 2 4 | length int64 200 200 | x_obs listlengths 400 800 | x_int listlengths 400 800 | intervention_json stringlengths 108 123 | query_target listlengths 1 1 | query_time listlengths 1 1 | y_true listlengths 1 1 | metadata_json stringlengths 441 847 |
|---|---|---|---|---|---|---|---|---|---|---|---|
0 | bi_variate | 1 | 2 | 200 | [
-0.06279799342155457,
-0.749786913394928,
0.27705690264701843,
0.29966697096824646,
0.23470823466777802,
0.0283907949924469,
-0.11215757578611374,
-0.3966550827026367,
-0.010175739414989948,
0.35425621271133423,
-0.23889537155628204,
-0.35162609815597534,
0.45157352089881897,
0.77680027484... | [
-0.06279799342155457,
-0.749786913394928,
0.27705690264701843,
0.29966697096824646,
0.23470823466777802,
0.0283907949924469,
-0.11215757578611374,
-0.3966550827026367,
-0.010175739414989948,
0.35425621271133423,
-0.23889537155628204,
-0.35162609815597534,
0.45157352089881897,
0.77680027484... | {"targets": [0], "times": [156], "intervention_type": "hard", "values": {"kind": "scalar", "data": 2.4314208030700684}} | [
1
] | [
0.7799999713897705
] | [
0.5532920360565186
] | {"tier": 1, "diverged": false, "pair_mode": "counterfactual", "query_offset_range": [0, 0], "y_causal_effect": [0.7080338001251221], "query_time_idx": [156], "graph": {"n": 2, "columns": ["A", "Y"], "latent": [], "edges": [[0, 0, 1], [0, 1, 0], [1, 1, 1]], "hidden": [], "k_sampled": 1, "k_eff": 1, "reads_parents": true... |
1 | bi_variate | 1 | 2 | 200 | [
-0.2073788046836853,
0.23721931874752045,
-0.13900801539421082,
-0.058054305613040924,
-0.47964969277381897,
0.5560401082038879,
0.2700917422771454,
-0.040503352880477905,
-0.19010740518569946,
0.536828875541687,
-0.8890524506568909,
0.21119685471057892,
0.016597362235188484,
-0.1482940316... | [
-0.2073788046836853,
0.23721931874752045,
-0.13900801539421082,
-0.058054305613040924,
-0.47964969277381897,
0.5560401082038879,
0.2700917422771454,
-0.040503352880477905,
-0.19010740518569946,
0.536828875541687,
-0.8890524506568909,
0.21119685471057892,
0.016597362235188484,
-0.1482940316... | {"targets": [0], "times": [98], "intervention_type": "hard", "values": {"kind": "scalar", "data": 0.48316457867622375}} | [
1
] | [
0.49000000953674316
] | [
0.03833034262061119
] | {"tier": 1, "diverged": false, "pair_mode": "counterfactual", "query_offset_range": [0, 0], "y_causal_effect": [0.06898743659257889], "query_time_idx": [98], "graph": {"n": 2, "columns": ["A", "Y"], "latent": [], "edges": [[0, 0, 1], [0, 1, 0], [1, 1, 1]], "hidden": [], "k_sampled": 1, "k_eff": 1, "reads_parents": true... |
2 | bi_variate | 1 | 2 | 200 | [
0.7118982672691345,
-0.22457578778266907,
0.11519229412078857,
-0.11388793587684631,
-0.08027869462966919,
-0.17837850749492645,
0.2662823498249054,
0.3319118618965149,
0.5525872111320496,
-0.012227445840835571,
0.7536461353302002,
-0.5876603126525879,
1.0029557943344116,
0.054539889097213... | [
0.7118982672691345,
-0.22457578778266907,
0.11519229412078857,
-0.11388793587684631,
-0.08027869462966919,
-0.17837850749492645,
0.2662823498249054,
0.3319118618965149,
0.5525872111320496,
-0.012227445840835571,
0.7536461353302002,
-0.5876603126525879,
1.0029557943344116,
0.054539889097213... | {"targets": [0], "times": [56], "intervention_type": "hard", "values": {"kind": "scalar", "data": 1.0702204704284668}} | [
1
] | [
0.2800000011920929
] | [
-0.5822345018386841
] | {"tier": 1, "diverged": false, "pair_mode": "counterfactual", "query_offset_range": [0, 0], "y_causal_effect": [-0.04373443126678467], "query_time_idx": [56], "graph": {"n": 2, "columns": ["A", "Y"], "latent": [], "edges": [[0, 0, 1], [0, 1, 0], [1, 1, 1]], "hidden": [], "k_sampled": 1, "k_eff": 1, "reads_parents": tru... |
3 | bi_variate | 1 | 2 | 200 | [
-1.06114661693573,
1.4315805435180664,
-0.11992669105529785,
0.5275661945343018,
-0.6423141360282898,
1.0404071807861328,
-0.7388625144958496,
1.5629898309707642,
-0.2963414192199707,
0.9228629469871521,
-0.5996073484420776,
1.0951520204544067,
0.1296280324459076,
-0.15003395080566406,
0... | [
-1.06114661693573,
1.4315805435180664,
-0.11992669105529785,
0.5275661945343018,
-0.6423141360282898,
1.0404071807861328,
-0.7388625144958496,
1.5629898309707642,
-0.2963414192199707,
0.9228629469871521,
-0.5996073484420776,
1.0951520204544067,
0.1296280324459076,
-0.15003395080566406,
0... | {"targets": [0], "times": [39], "intervention_type": "hard", "values": {"kind": "scalar", "data": 0.039328064769506454}} | [
1
] | [
0.19499999284744263
] | [
0.5448786020278931
] | {"tier": 1, "diverged": false, "pair_mode": "counterfactual", "query_offset_range": [0, 0], "y_causal_effect": [-0.7717388868331909], "query_time_idx": [39], "graph": {"n": 2, "columns": ["A", "Y"], "latent": [], "edges": [[0, 0, 1], [0, 1, 0], [1, 1, 1]], "hidden": [], "k_sampled": 1, "k_eff": 1, "reads_parents": true... |
4 | bi_variate | 1 | 2 | 200 | [
0.3475940525531769,
-0.4908073842525482,
-0.05820765346288681,
0.26239389181137085,
-0.5166369676589966,
0.30384939908981323,
0.39839479327201843,
-0.10755610466003418,
-0.2501016855239868,
-0.42459630966186523,
0.20286858081817627,
-0.37720823287963867,
-0.2249995470046997,
-0.05501058697... | [
0.3475940525531769,
-0.4908073842525482,
-0.05820765346288681,
0.26239389181137085,
-0.5166369676589966,
0.30384939908981323,
0.39839479327201843,
-0.10755610466003418,
-0.2501016855239868,
-0.42459630966186523,
0.20286858081817627,
-0.37720823287963867,
-0.2249995470046997,
-0.05501058697... | {"targets": [0], "times": [17], "intervention_type": "hard", "values": {"kind": "scalar", "data": 0.2537524700164795}} | [
1
] | [
0.08500000089406967
] | [
-0.36372268199920654
] | {"tier": 1, "diverged": false, "pair_mode": "counterfactual", "query_offset_range": [0, 0], "y_causal_effect": [-0.03625926375389099], "query_time_idx": [17], "graph": {"n": 2, "columns": ["A", "Y"], "latent": [], "edges": [[0, 0, 1], [0, 1, 0], [1, 1, 1]], "hidden": [], "k_sampled": 1, "k_eff": 1, "reads_parents": tru... |
5 | bi_variate | 1 | 2 | 200 | [
0.5818454623222351,
0.0020052343606948853,
-0.8022842407226562,
0.04554289951920509,
0.10281446576118469,
-0.3474358320236206,
-0.19301725924015045,
-0.4254090189933777,
0.0818871259689331,
0.3789108991622925,
-0.2955343723297119,
0.2546006441116333,
0.3288280963897705,
-0.0172079242765903... | [
0.5818454623222351,
0.0020052343606948853,
-0.8022842407226562,
0.04554289951920509,
0.10281446576118469,
-0.3474358320236206,
-0.19301725924015045,
-0.4254090189933777,
0.0818871259689331,
0.3789108991622925,
-0.2955343723297119,
0.2546006441116333,
0.3288280963897705,
-0.0172079242765903... | {"targets": [0], "times": [44], "intervention_type": "hard", "values": {"kind": "scalar", "data": 1.10360848903656}} | [
1
] | [
0.2199999988079071
] | [
-0.1442747414112091
] | {"tier": 1, "diverged": false, "pair_mode": "counterfactual", "query_offset_range": [0, 0], "y_causal_effect": [0.1348869800567627], "query_time_idx": [44], "graph": {"n": 2, "columns": ["A", "Y"], "latent": [], "edges": [[0, 0, 1], [0, 1, 0], [1, 1, 1]], "hidden": [], "k_sampled": 1, "k_eff": 1, "reads_parents": true,... |
6 | bi_variate | 1 | 2 | 200 | [
-0.027318963780999184,
-0.00015147417434491217,
0.40340733528137207,
-0.11645115911960602,
0.7651323676109314,
-0.2067563682794571,
0.24803785979747772,
-0.32134267687797546,
-0.11996695399284363,
0.13413812220096588,
-0.2700263559818268,
-0.09513954073190689,
-0.23765546083450317,
0.14810... | [
-0.027318963780999184,
-0.00015147417434491217,
0.40340733528137207,
-0.11645115911960602,
0.7651323676109314,
-0.2067563682794571,
0.24803785979747772,
-0.32134267687797546,
-0.11996695399284363,
0.13413812220096588,
-0.2700263559818268,
-0.09513954073190689,
-0.23765546083450317,
0.14810... | {"targets": [0], "times": [116], "intervention_type": "hard", "values": {"kind": "scalar", "data": 1.3563590049743652}} | [
1
] | [
0.5799999833106995
] | [
0.3794834613800049
] | {"tier": 1, "diverged": false, "pair_mode": "counterfactual", "query_offset_range": [0, 0], "y_causal_effect": [0.07656821608543396], "query_time_idx": [116], "graph": {"n": 2, "columns": ["A", "Y"], "latent": [], "edges": [[0, 0, 1], [0, 1, 0], [1, 1, 1]], "hidden": [], "k_sampled": 1, "k_eff": 1, "reads_parents": tru... |
7 | bi_variate | 1 | 2 | 200 | [
-0.20784451067447662,
-0.20589089393615723,
0.13490010797977448,
-0.41820189356803894,
0.37371712923049927,
0.003443419933319092,
0.19514647126197815,
-0.23939861357212067,
0.3047926127910614,
0.29458290338516235,
0.3431219756603241,
-0.29378432035446167,
0.5448193550109863,
0.293065369129... | [
-0.20784451067447662,
-0.20589089393615723,
0.13490010797977448,
-0.41820189356803894,
0.37371712923049927,
0.003443419933319092,
0.19514647126197815,
-0.23939861357212067,
0.3047926127910614,
0.29458290338516235,
0.3431219756603241,
-0.29378432035446167,
0.5448193550109863,
0.293065369129... | {"targets": [0], "times": [32], "intervention_type": "hard", "values": {"kind": "scalar", "data": -1.8648309707641602}} | [
1
] | [
0.1599999964237213
] | [
-0.580866813659668
] | {"tier": 1, "diverged": false, "pair_mode": "counterfactual", "query_offset_range": [0, 0], "y_causal_effect": [-0.9698298573493958], "query_time_idx": [32], "graph": {"n": 2, "columns": ["A", "Y"], "latent": [], "edges": [[0, 0, 1], [0, 1, 0], [1, 1, 1]], "hidden": [], "k_sampled": 1, "k_eff": 1, "reads_parents": true... |
8 | bi_variate | 1 | 2 | 200 | [
-0.02423033118247986,
-0.17003300786018372,
-0.49801528453826904,
-0.43224963545799255,
0.45801475644111633,
-0.11222200095653534,
-0.4957262873649597,
-0.3235253691673279,
-0.4076341986656189,
0.6004176139831543,
-0.11792519688606262,
-0.2874411940574646,
-0.25838223099708557,
0.445155829... | [
-0.02423033118247986,
-0.17003300786018372,
-0.49801528453826904,
-0.43224963545799255,
0.45801475644111633,
-0.11222200095653534,
-0.4957262873649597,
-0.3235253691673279,
-0.4076341986656189,
0.6004176139831543,
-0.11792519688606262,
-0.2874411940574646,
-0.25838223099708557,
0.445155829... | {"targets": [0], "times": [94], "intervention_type": "hard", "values": {"kind": "scalar", "data": 1.0097594261169434}} | [
1
] | [
0.4699999988079071
] | [
0.15987569093704224
] | {"tier": 1, "diverged": false, "pair_mode": "counterfactual", "query_offset_range": [0, 0], "y_causal_effect": [0.0], "query_time_idx": [94], "graph": {"n": 2, "columns": ["A", "Y"], "latent": [], "edges": [[0, 0, 1], [0, 1, 0], [1, 1, 1]], "hidden": [], "k_sampled": 1, "k_eff": 1, "reads_parents": true, "regime_edges"... |
9 | bi_variate | 1 | 2 | 200 | [
-0.05640925467014313,
-0.34497469663619995,
0.19489440321922302,
-0.021239547058939934,
0.38912808895111084,
0.33506888151168823,
-0.06211131811141968,
-0.8045499324798584,
0.01739397644996643,
0.3839777708053589,
0.0643061101436615,
0.45982176065444946,
0.445368230342865,
-0.0537525713443... | [
-0.05640925467014313,
-0.34497469663619995,
0.19489440321922302,
-0.021239547058939934,
0.38912808895111084,
0.33506888151168823,
-0.06211131811141968,
-0.8045499324798584,
0.01739397644996643,
0.3839777708053589,
0.0643061101436615,
0.45982176065444946,
0.445368230342865,
-0.0537525713443... | {"targets": [0], "times": [53], "intervention_type": "hard", "values": {"kind": "scalar", "data": 4.3091254234313965}} | [
1
] | [
0.26499998569488525
] | [
0.6874325275421143
] | {"tier": 1, "diverged": false, "pair_mode": "counterfactual", "query_offset_range": [0, 0], "y_causal_effect": [0.4388639032840729], "query_time_idx": [53], "graph": {"n": 2, "columns": ["A", "Y"], "latent": [], "edges": [[0, 0, 1], [0, 1, 0], [1, 1, 1]], "hidden": [], "k_sampled": 1, "k_eff": 1, "reads_parents": true,... |
10 | bi_variate | 1 | 2 | 200 | [
0.2451443076133728,
0.22686654329299927,
0.2788977026939392,
-0.3596631586551666,
0.5741656422615051,
0.19181616604328156,
0.5556559562683105,
-0.33743369579315186,
0.08869463205337524,
-0.16362503170967102,
0.9245243072509766,
0.100211501121521,
0.10372792184352875,
0.06773006916046143,
... | [
0.2451443076133728,
0.22686654329299927,
0.2788977026939392,
-0.3596631586551666,
0.5741656422615051,
0.19181616604328156,
0.5556559562683105,
-0.33743369579315186,
0.08869463205337524,
-0.16362503170967102,
0.9245243072509766,
0.100211501121521,
0.10372792184352875,
0.06773006916046143,
... | {"targets": [0], "times": [59], "intervention_type": "hard", "values": {"kind": "scalar", "data": -2.7653138637542725}} | [
1
] | [
0.29499998688697815
] | [
-0.05379217863082886
] | {"tier": 1, "diverged": false, "pair_mode": "counterfactual", "query_offset_range": [0, 0], "y_causal_effect": [0.24855706095695496], "query_time_idx": [59], "graph": {"n": 2, "columns": ["A", "Y"], "latent": [], "edges": [[0, 0, 1], [0, 1, 0], [1, 1, 1]], "hidden": [], "k_sampled": 1, "k_eff": 1, "reads_parents": true... |
End of preview. Expand in Data Studio
dot-SeasonalTrend-v1
A frozen evaluation suite from DoTime.
- Episodes: 10000
- Schema: parquet shards +
manifest.json(md5-checksummed), Croissant metadata. - Load with:
from dotime.benchmarks import load_benchmark
suite = load_benchmark("dot-SeasonalTrend-v1") # pulls this repo at tag v1.0.0
Generated reproducibly by scripts/build_release.py. Zenodo DOI is the citable
archive of record.
- Downloads last month
- 36