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geyuxu
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self-training-loop-phase2-arms

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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
stable_id: string
signal_type: string
answer: string
D_full_corrected_seed23: struct<retrieval_helps: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>, (... 180 chars omitted)
  child 0, retrieval_helps: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
      child 0, n: int64
      child 1, f1: double
      child 2, nli_entail: double
      child 3, nli_entail_ge_0.5: double
  child 1, overall: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
      child 0, n: int64
      child 1, f1: double
      child 2, nli_entail: double
      child 3, nli_entail_ge_0.5: double
  child 2, retrieval_hurts: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
      child 0, n: int64
      child 1, f1: double
      child 2, nli_entail: double
      child 3, nli_entail_ge_0.5: double
D_full_emf1_seed23: struct<retrieval_helps: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>, (... 180 chars omitted)
  child 0, retrieval_helps: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
      child 0, n: int64
      child 1, f1: double
      child 2, nli_entail: double
      child 3, nli_entail_ge_0.5: double
  child 1, overall: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
      child 0, n: int64
      child 1, f1: double
      child 2, nli_entail: double
      child 3, nli_entail_ge_0.5: double
  child 2, retrieval_hu
...
 child 0, retrieval_helps: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
      child 0, n: int64
      child 1, f1: double
      child 2, nli_entail: double
      child 3, nli_entail_ge_0.5: double
  child 1, overall: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
      child 0, n: int64
      child 1, f1: double
      child 2, nli_entail: double
      child 3, nli_entail_ge_0.5: double
  child 2, retrieval_hurts: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
      child 0, n: int64
      child 1, f1: double
      child 2, nli_entail: double
      child 3, nli_entail_ge_0.5: double
D_verified_seed23: struct<retrieval_helps: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>, (... 180 chars omitted)
  child 0, retrieval_helps: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
      child 0, n: int64
      child 1, f1: double
      child 2, nli_entail: double
      child 3, nli_entail_ge_0.5: double
  child 1, overall: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
      child 0, n: int64
      child 1, f1: double
      child 2, nli_entail: double
      child 3, nli_entail_ge_0.5: double
  child 2, retrieval_hurts: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
      child 0, n: int64
      child 1, f1: double
      child 2, nli_entail: double
      child 3, nli_entail_ge_0.5: double
to
{'base': {'retrieval_helps': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'overall': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'retrieval_hurts': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}}, 'D_full_emf1_seed22': {'retrieval_helps': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'overall': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'retrieval_hurts': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}}, 'D_full_emf1_seed23': {'retrieval_helps': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'overall': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'retrieval_hurts': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}}, 'D_full_corrected_seed22': {'retrieval_helps': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'overall': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'retrieval_hurts': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}}, 'D_full_corrected_seed23': {'retrieval_helps': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'overall': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'retrieval_hurts': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}}, 'D_verified_seed22': {'retrieval_helps': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'overall': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'retrieval_hurts': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}}, 'D_verified_seed23': {'retrieval_helps': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'overall': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'retrieval_hurts': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}}}
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 483, 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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              stable_id: string
              signal_type: string
              answer: string
              D_full_corrected_seed23: struct<retrieval_helps: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>, (... 180 chars omitted)
                child 0, retrieval_helps: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
                    child 0, n: int64
                    child 1, f1: double
                    child 2, nli_entail: double
                    child 3, nli_entail_ge_0.5: double
                child 1, overall: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
                    child 0, n: int64
                    child 1, f1: double
                    child 2, nli_entail: double
                    child 3, nli_entail_ge_0.5: double
                child 2, retrieval_hurts: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
                    child 0, n: int64
                    child 1, f1: double
                    child 2, nli_entail: double
                    child 3, nli_entail_ge_0.5: double
              D_full_emf1_seed23: struct<retrieval_helps: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>, (... 180 chars omitted)
                child 0, retrieval_helps: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
                    child 0, n: int64
                    child 1, f1: double
                    child 2, nli_entail: double
                    child 3, nli_entail_ge_0.5: double
                child 1, overall: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
                    child 0, n: int64
                    child 1, f1: double
                    child 2, nli_entail: double
                    child 3, nli_entail_ge_0.5: double
                child 2, retrieval_hu
              ...
               child 0, retrieval_helps: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
                    child 0, n: int64
                    child 1, f1: double
                    child 2, nli_entail: double
                    child 3, nli_entail_ge_0.5: double
                child 1, overall: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
                    child 0, n: int64
                    child 1, f1: double
                    child 2, nli_entail: double
                    child 3, nli_entail_ge_0.5: double
                child 2, retrieval_hurts: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
                    child 0, n: int64
                    child 1, f1: double
                    child 2, nli_entail: double
                    child 3, nli_entail_ge_0.5: double
              D_verified_seed23: struct<retrieval_helps: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>, (... 180 chars omitted)
                child 0, retrieval_helps: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
                    child 0, n: int64
                    child 1, f1: double
                    child 2, nli_entail: double
                    child 3, nli_entail_ge_0.5: double
                child 1, overall: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
                    child 0, n: int64
                    child 1, f1: double
                    child 2, nli_entail: double
                    child 3, nli_entail_ge_0.5: double
                child 2, retrieval_hurts: struct<n: int64, f1: double, nli_entail: double, nli_entail_ge_0.5: double>
                    child 0, n: int64
                    child 1, f1: double
                    child 2, nli_entail: double
                    child 3, nli_entail_ge_0.5: double
              to
              {'base': {'retrieval_helps': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'overall': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'retrieval_hurts': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}}, 'D_full_emf1_seed22': {'retrieval_helps': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'overall': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'retrieval_hurts': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}}, 'D_full_emf1_seed23': {'retrieval_helps': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'overall': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'retrieval_hurts': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}}, 'D_full_corrected_seed22': {'retrieval_helps': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'overall': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'retrieval_hurts': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}}, 'D_full_corrected_seed23': {'retrieval_helps': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'overall': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'retrieval_hurts': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}}, 'D_verified_seed22': {'retrieval_helps': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'overall': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'retrieval_hurts': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}}, 'D_verified_seed23': {'retrieval_helps': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'overall': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}, 'retrieval_hurts': {'n': Value('int64'), 'f1': Value('float64'), 'nli_entail': Value('float64'), 'nli_entail_ge_0.5': Value('float64')}}}
              because column names don't match
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Self-Training Loop — Phase 2 A'' arms, evaluation chain, human adjudication

arms_v1/D_full_emf1.jsonl (10,000) — original EM/F1 preference directions
arms_v1/D_full_corrected.jsonl (10,000) — 375 judge-verified hurts-direction flips applied
arms_v1/D_verified.jsonl (3,185) — semantically verified accept pool
arms_v1/ARMS_MANIFEST.json — input sha256 bindings, flip rule, validity filter
arms_v1/eval_a200/ — held-out generations (base + 6 adapters), reference-based scores, blind pairwise M3 judge results
human_adjudication/hurts_audit_30/ — 30-row blind human adjudication of hurts flips (26/26 pro-flip, p≈1.5e-8)
human_adjudication/a200_annotation_v1/ — 200-row held-out human gold labels (hurts stratum flip rate 60.7%)
Companion adapters: self-training-loop-phase2-adapters.
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Total file size:
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