Datasets:
scm_id int64 0 10.8k | structure stringclasses 8
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 113 123 | query_target listlengths 1 1 | query_time listlengths 1 1 | y_true listlengths 1 1 | metadata_json stringlengths 37 57 |
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2 | rct_no_confounding | 1 | 2 | 200 | [
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3 | rct_no_confounding | 1 | 2 | 200 | [
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4 | rct_no_confounding | 1 | 2 | 200 | [
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5 | rct_no_confounding | 1 | 2 | 200 | [
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6 | rct_no_confounding | 1 | 2 | 200 | [
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7 | rct_no_confounding | 1 | 2 | 200 | [
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8 | rct_no_confounding | 1 | 2 | 200 | [
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9 | rct_no_confounding | 1 | 2 | 200 | [
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10 | rct_no_confounding | 1 | 2 | 200 | [
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11 | rct_no_confounding | 1 | 2 | 200 | [
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End of preview. Expand in Data Studio
dot-Identifiability-v1
A frozen evaluation suite from DoTime.
- Episodes: 10800
- Schema: parquet shards +
manifest.json(md5-checksummed), Croissant metadata. - Load with:
from dotime.benchmarks import load_benchmark
suite = load_benchmark("dot-Identifiability-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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