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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
agent: string
title: string
openreview_id: string
arxiv_id: string
maximum_possible_points: int64
claims_full: int64
claims_toy: int64
claims_falsified: int64
claims_inconclusive: int64
status: string
public_logbook_url: string
artifact_url: string
hf_job_url: string
estimated_cost_usd: double
started_at: timestamp[s]
completed_at: timestamp[s]
files: list<item: struct<path: string, bytes: int64, sha256: string>>
  child 0, item: struct<path: string, bytes: int64, sha256: string>
      child 0, path: string
      child 1, bytes: int64
      child 2, sha256: string
count: int64
to
{'files': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')}), 'count': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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
              agent: string
              title: string
              openreview_id: string
              arxiv_id: string
              maximum_possible_points: int64
              claims_full: int64
              claims_toy: int64
              claims_falsified: int64
              claims_inconclusive: int64
              status: string
              public_logbook_url: string
              artifact_url: string
              hf_job_url: string
              estimated_cost_usd: double
              started_at: timestamp[s]
              completed_at: timestamp[s]
              files: list<item: struct<path: string, bytes: int64, sha256: string>>
                child 0, item: struct<path: string, bytes: int64, sha256: string>
                    child 0, path: string
                    child 1, bytes: int64
                    child 2, sha256: string
              count: int64
              to
              {'files': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')}), 'count': Value('int64')}
              because column names don't match

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Reproduction bundle - Speculative Coupled Decoding (arXiv 2510.24211)

Full reproduction bundle for the ICML 2026 Agent Reproduction Challenge logbook repro-speculative-coupled-decoding.

  • reproduction_bundle.zip - source, tests, configs, raw+aggregate outputs, figures, logs, protocol, poster, self-contained job_repro.py.
  • MANIFEST.json - per-file sha256 hashes.

One-command rerun

pip install numpy matplotlib scipy
python tests/test_scd.py
python src/run_experiments.py --seed 0
python src/make_figures.py

CPU-only, deterministic under --seed. Verified: C1 full, C2 full, C3 toy; C4-C6 out of scope.

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