TabQueryBench2026/server
2026-05-20 Non-distance Refresh Bundle This bundle contains refreshed paper-facing outputs copied from the server-side TabQueryBench/code_snapshot/Evaluation/... tree after the v2 refresh runs. Included: subgroup_breakdown/final conditional_breakdown/final conditional_locality_support_final missingness_breakdown/final missingness_regime_diagnostic tail_breakdown/final tail_support_diagnostics_final tail_threshold_final compare_updated_figures.pdf compare_updated_figures.tex… See the full description on the dataset page: https://huggingface.co/datasets/TabQueryBench2026/server.
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1 2import os, shutil, subprocess, sys3td = r"/workspace/TabDiff"4name = r"pipeline_m4"5src = r"/work/output-Benchmark-trainonly-v1/m4/tabdiff/tabdiff-m4-20260504_200544/tabular_bundle/pipeline_m4"6dst_data = os.path.join(td, "data", name)7dst_syn = os.path.join(td, "synthetic", name)8shutil.rmtree(dst_data, ignore_errors=True)9shutil.copytree(src, dst_data)10os.makedirs(dst_syn, exist_ok=True)11for fn in ("real.csv", "test.csv", "val.csv"):12 shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn))13os.chdir(td)14os.environ["PYTHONPATH"] = td + os.pathsep + os.environ.get("PYTHONPATH", "")15os.environ["TABDIFF_SMOKE_STEPS"] = "800"16os.environ["TABDIFF_ADAPTER_TRAIN"] = "1"17subprocess.check_call([18 sys.executable, "-m", "tabdiff.main",19 "--dataname", name, "--mode", "train", "--gpu", "0",20 "--no_wandb", "--exp_name", r"adapter_learnable",21])22