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Srishti280992
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repro-incentivized-explore-bundle

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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
meta: struct<seeds: int64, N: int64, Tmax: int64, setting: string>
  child 0, seeds: int64
  child 1, N: int64
  child 2, Tmax: int64
  child 3, setting: string
fits: struct<T:K3_d5: struct<x: list<item: int64>, total: list<item: double>, exploit: list<item: double>, (... 1144 chars omitted)
  child 0, T:K3_d5: struct<x: list<item: int64>, total: list<item: double>, exploit: list<item: double>, Tcold: list<ite (... 76 chars omitted)
      child 0, x: list<item: int64>
          child 0, item: int64
      child 1, total: list<item: double>
          child 0, item: double
      child 2, exploit: list<item: double>
          child 0, item: double
      child 3, Tcold: list<item: double>
          child 0, item: double
      child 4, slope_total: double
      child 5, slope_exploit: double
      child 6, slope_Tcold: double
  child 1, T:K5_d5: struct<x: list<item: int64>, total: list<item: double>, exploit: list<item: double>, Tcold: list<ite (... 76 chars omitted)
      child 0, x: list<item: int64>
          child 0, item: int64
      child 1, total: list<item: double>
          child 0, item: double
      child 2, exploit: list<item: double>
          child 0, item: double
      child 3, Tcold: list<item: double>
          child 0, item: double
      child 4, slope_total: double
      child 5, slope_exploit: double
      child 6, slope_Tcold: double
  child 2, T:K10_d5: struct<x: list<item: int64>, total: list<item: double>, exploit: list<item: double>, Tcold: list<ite (... 76
...
ing, command: list<item: string>, summa (... 210 chars omitted)
  child 0, item: struct<name: string, severity: string, status: string, command: list<item: string>, summary: struct< (... 198 chars omitted)
      child 0, name: string
      child 1, severity: string
      child 2, status: string
      child 3, command: list<item: string>
          child 0, item: string
      child 4, summary: struct<exit_code: int64, tail: string, gate: string, status: string, rules: list<item: struct<id: in (... 73 chars omitted)
          child 0, exit_code: int64
          child 1, tail: string
          child 2, gate: string
          child 3, status: string
          child 4, rules: list<item: struct<id: int64, severity: string, status: string, detail: string>>
              child 0, item: struct<id: int64, severity: string, status: string, detail: string>
                  child 0, id: int64
                  child 1, severity: string
                  child 2, status: string
                  child 3, detail: string
          child 5, not_run: string
      child 5, artifacts: list<item: string>
          child 0, item: string
schema_version: int64
overall: string
timestamp: timestamp[s]
poster_html: string
warnings: int64
canvas: struct<source: string, width_cm: double, height_cm: double, orientation: string, source_url: null>
  child 0, source: string
  child 1, width_cm: double
  child 2, height_cm: double
  child 3, orientation: string
  child 4, source_url: null
hard_failures: int64
to
{'schema_version': Value('int64'), 'skill': Value('string'), 'timestamp': Value('timestamp[s]'), 'poster_html': Value('string'), 'canvas': {'source': Value('string'), 'width_cm': Value('float64'), 'height_cm': Value('float64'), 'orientation': Value('string'), 'source_url': Value('null')}, 'overall': Value('string'), 'hard_failures': Value('int64'), 'warnings': Value('int64'), 'gates': List({'name': Value('string'), 'severity': Value('string'), 'status': Value('string'), 'command': List(Value('string')), 'summary': {'exit_code': Value('int64'), 'tail': Value('string'), 'gate': Value('string'), 'status': Value('string'), 'rules': List({'id': Value('int64'), 'severity': Value('string'), 'status': Value('string'), 'detail': Value('string')}), 'not_run': Value('string')}, 'artifacts': List(Value('string'))})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              meta: struct<seeds: int64, N: int64, Tmax: int64, setting: string>
                child 0, seeds: int64
                child 1, N: int64
                child 2, Tmax: int64
                child 3, setting: string
              fits: struct<T:K3_d5: struct<x: list<item: int64>, total: list<item: double>, exploit: list<item: double>, (... 1144 chars omitted)
                child 0, T:K3_d5: struct<x: list<item: int64>, total: list<item: double>, exploit: list<item: double>, Tcold: list<ite (... 76 chars omitted)
                    child 0, x: list<item: int64>
                        child 0, item: int64
                    child 1, total: list<item: double>
                        child 0, item: double
                    child 2, exploit: list<item: double>
                        child 0, item: double
                    child 3, Tcold: list<item: double>
                        child 0, item: double
                    child 4, slope_total: double
                    child 5, slope_exploit: double
                    child 6, slope_Tcold: double
                child 1, T:K5_d5: struct<x: list<item: int64>, total: list<item: double>, exploit: list<item: double>, Tcold: list<ite (... 76 chars omitted)
                    child 0, x: list<item: int64>
                        child 0, item: int64
                    child 1, total: list<item: double>
                        child 0, item: double
                    child 2, exploit: list<item: double>
                        child 0, item: double
                    child 3, Tcold: list<item: double>
                        child 0, item: double
                    child 4, slope_total: double
                    child 5, slope_exploit: double
                    child 6, slope_Tcold: double
                child 2, T:K10_d5: struct<x: list<item: int64>, total: list<item: double>, exploit: list<item: double>, Tcold: list<ite (... 76
              ...
              ing, command: list<item: string>, summa (... 210 chars omitted)
                child 0, item: struct<name: string, severity: string, status: string, command: list<item: string>, summary: struct< (... 198 chars omitted)
                    child 0, name: string
                    child 1, severity: string
                    child 2, status: string
                    child 3, command: list<item: string>
                        child 0, item: string
                    child 4, summary: struct<exit_code: int64, tail: string, gate: string, status: string, rules: list<item: struct<id: in (... 73 chars omitted)
                        child 0, exit_code: int64
                        child 1, tail: string
                        child 2, gate: string
                        child 3, status: string
                        child 4, rules: list<item: struct<id: int64, severity: string, status: string, detail: string>>
                            child 0, item: struct<id: int64, severity: string, status: string, detail: string>
                                child 0, id: int64
                                child 1, severity: string
                                child 2, status: string
                                child 3, detail: string
                        child 5, not_run: string
                    child 5, artifacts: list<item: string>
                        child 0, item: string
              schema_version: int64
              overall: string
              timestamp: timestamp[s]
              poster_html: string
              warnings: int64
              canvas: struct<source: string, width_cm: double, height_cm: double, orientation: string, source_url: null>
                child 0, source: string
                child 1, width_cm: double
                child 2, height_cm: double
                child 3, orientation: string
                child 4, source_url: null
              hard_failures: int64
              to
              {'schema_version': Value('int64'), 'skill': Value('string'), 'timestamp': Value('timestamp[s]'), 'poster_html': Value('string'), 'canvas': {'source': Value('string'), 'width_cm': Value('float64'), 'height_cm': Value('float64'), 'orientation': Value('string'), 'source_url': Value('null')}, 'overall': Value('string'), 'hard_failures': Value('int64'), 'warnings': Value('int64'), 'gates': List({'name': Value('string'), 'severity': Value('string'), 'status': Value('string'), 'command': List(Value('string')), 'summary': {'exit_code': Value('int64'), 'tail': Value('string'), 'gate': Value('string'), 'status': Value('string'), 'rules': List({'id': Value('int64'), 'severity': Value('string'), 'status': Value('string'), 'detail': Value('string')}), 'not_run': Value('string')}, 'artifacts': List(Value('string'))})}
              because column names don't match

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Check out the documentation for more information.

Reproduction Bundle

Paper: Incentivized Exploration with Stochastic Covariates: A Two-Stage Mechanism Design for Recommender System

OpenReview: https://openreview.net/forum?id=LTHHiPNbrs
arXiv: https://arxiv.org/abs/2406.04374
HF Job smoke check: https://huggingface.co/jobs/Srishti280992/6a5d7cc4bee6ee1cf4ed1c32

Contents

  • rcb/: RCB implementation from the paper pseudocode.
  • scripts/: theorem checks, mechanism checks, synthetic runs, warfarin runs, and figure generation.
  • data/: IWPC/PharmGKB warfarin data used by the local pipeline.
  • outputs/: JSON and logs from the reproduced runs.
  • figs/: Plotly HTML figures and CSV backing data.
  • poster.html, poster_embed.html, poster_preview.png, GATE_REPORT.json: Posterly poster and gate report.

Rerun 

pip install numpy pandas scikit-learn plotly xlrd

python scripts/theory_checks.py
python scripts/claim3_structure.py
python scripts/regret_rate_fit.py --seeds 5 --workers 10 --out outputs/claim1_rate.json
python scripts/run_synthetic.py --only s3 --out outputs/syn_s3.json
python scripts/run_synthetic.py --only feas --out outputs/feas.json
python scripts/run_warfarin.py --C_N 1.0 --N 5 --reward binary --EF theory --phi0 1.0 --perms 10 --out outputs/warfarin.json
python scripts/warfarin_ablation.py --perms 5 --out outputs/warfarin_ablation.json
python scripts/figures.py rate rate_Kd warfarin warfarin_ablation warfarin_N feasibility Neps tradeoff gain

The scripts chdir to the bundle root, so run them from this directory or from any parent path.
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Total file size:
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Paper for Srishti280992/repro-incentivized-explore-bundle