scm_id int64 | structure string | tier int64 | n_vars int64 | length int64 | x_obs list | x_int list | intervention_json string | query_target list | query_time list | y_true list | metadata_json string | obs_times list | obs_mask list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | back_door | 2 | 3 | 200 | [
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1 | back_door | 2 | 3 | 200 | [
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2 | back_door | 2 | 3 | 200 | [
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... | {"targets": [0], "times": [99], "intervention_type": "hard", "values": {"kind": "scalar", "data": 0.7704663276672363}} | [
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... | null |
3 | back_door | 2 | 3 | 200 | [
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-0.39... | {"targets": [0], "times": [100], "intervention_type": "hard", "values": {"kind": "scalar", "data": -2.2348737716674805}} | [
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4 | back_door | 2 | 3 | 200 | [
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... | {"targets": [0], "times": [93], "intervention_type": "hard", "values": {"kind": "scalar", "data": 0.10256295651197433}} | [
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] | [
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5 | back_door | 2 | 3 | 200 | [
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0.... | {"targets": [0], "times": [139], "intervention_type": "hard", "values": {"kind": "scalar", "data": -1.5510822534561157}} | [
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6 | back_door | 2 | 3 | 200 | [
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... | {"targets": [0], "times": [78], "intervention_type": "hard", "values": {"kind": "scalar", "data": 2.833268165588379}} | [
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7 | back_door | 2 | 3 | 200 | [0.0,0.0,0.0,0.05286098271608353,-0.013450395315885544,-0.11635590344667435,0.03228672221302986,-0.4(...TRUNCATED) | [0.0,0.0,0.0,0.05286098271608353,-0.013450395315885544,-0.11635590344667435,0.03228672221302986,-0.4(...TRUNCATED) | "{\"targets\": [0], \"times\": [83], \"intervention_type\": \"hard\", \"values\": {\"kind\": \"scala(...TRUNCATED) | [
1
] | [
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] | [
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] | "{\"tier\": 2, \"self_query\": false, \"query_in_window\": true, \"window_end_idx\": 142, \"schedule(...TRUNCATED) | [0.0,0.8918870687484741,1.6354345083236694,2.2950544357299805,3.3132333755493164,4.681852340698242,5(...TRUNCATED) | null |
8 | back_door | 2 | 3 | 200 | [0.0,0.0,0.0,-0.9500091671943665,-0.16738900542259216,-0.188176691532135,-0.59757399559021,0.1911769(...TRUNCATED) | [0.0,0.0,0.0,-0.9500091671943665,-0.16738900542259216,-0.188176691532135,-0.59757399559021,0.1911769(...TRUNCATED) | "{\"targets\": [0], \"times\": [63], \"intervention_type\": \"hard\", \"values\": {\"kind\": \"scala(...TRUNCATED) | [
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] | [
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] | [
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] | "{\"tier\": 2, \"self_query\": false, \"query_in_window\": true, \"window_end_idx\": 122, \"schedule(...TRUNCATED) | [0.0,3.4077396392822266,4.927340984344482,4.994465351104736,5.380396842956543,6.020388126373291,6.22(...TRUNCATED) | null |
9 | back_door | 1 | 3 | 200 | [0.0,0.0,0.0,-1.35784912109375,0.018763063475489616,0.5442620515823364,-1.608590841293335,-0.1866680(...TRUNCATED) | [0.0,0.0,0.0,-1.35784912109375,0.018763063475489616,0.5442620515823364,-1.608590841293335,-0.1866680(...TRUNCATED) | "{\"targets\": [0], \"times\": [79], \"intervention_type\": \"hard\", \"values\": {\"kind\": \"scala(...TRUNCATED) | [
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] | [
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] | [
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] | "{\"tier\": 1, \"self_query\": false, \"query_in_window\": false, \"window_end_idx\": 103, \"schedul(...TRUNCATED) | [0.0,1.0,2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0,13.0,14.0,15.0,16.0,17.0,18.0,19.0,20.0,21.0(...TRUNCATED) | null |
End of preview. Expand in Data Studio
dot-ContinuousIrregular-v1
A frozen evaluation suite from DoTime.
- Episodes: 9999
- Schema: parquet shards +
manifest.json(md5-checksummed), Croissant metadata. - Load with:
from dotime.benchmarks import load_benchmark
suite = load_benchmark("dot-ContinuousIrregular-v1") # pulls this repo at tag v1.0.0
Generated reproducibly by scripts/build_release.py. Zenodo DOI is the citable
archive of record.
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