Datasets:

---

ShourenWSR

/

loopmoe-probe-products

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
corpus: struct<corpus_id: string, tokens_per_doc: int64, exclusion_rule: string, excluded_position: int64, e (... 168 chars omitted)
  child 0, corpus_id: string
  child 1, tokens_per_doc: int64
  child 2, exclusion_rule: string
  child 3, excluded_position: int64
  child 4, excluded_token_id: null
  child 5, n_tokens: int64
  child 6, n_tokens_before_drop: int64
  child 7, special_tokens_excluded: int64
  child 8, probe_seed: list<item: int64>
      child 0, item: int64
  child 9, input_ids_sha8: list<item: string>
      child 0, item: string
checkpoint_root: string
checkpoint_rel: string
dump_root: string
dump_rel: string
manifest_step: int64
manifest_kind: string
producer: struct<name: string, code_revision: struct<commit: string, dirty: bool, diff_sha256: null, describe: (... 248 chars omitted)
  child 0, name: string
  child 1, code_revision: struct<commit: string, dirty: bool, diff_sha256: null, describe: string>
      child 0, commit: string
      child 1, dirty: bool
      child 2, diff_sha256: null
      child 3, describe: string
  child 2, machine: struct<hostname: string, gpu_name: string, gpu_count: int64, driver_version: string, cuda_version: s (... 51 chars omitted)
      child 0, hostname: string
      child 1, gpu_name: string
      child 2, gpu_count: int64
      child 3, driver_version: string
      child 4, cuda_version: string
      child 5, torch_version: string
      child 6, slurm_job_id: string
  child 3, trace_contract: string
  child 4, train_ac_mode
...
action: double
Linf_starved_fraction: double
L2_unit_scaled: double
Linf_unit_scaled: double
E_eff_2: double
E_eff_inf: double
L2_starved_fraction_count: double
Linf_starved_fraction_count: double
L2_mass_minus_count: double
maxvio_mass: double
maxvio_count: double
sigma_hat: double
metric_b_status: string
C_mean: double
C_p25: double
C_p50: double
C_p75: double
k_eff_mean: double
C_null: double
C_adj: double
margin_mean: double
margin_raw_mean: double
margin_raw_p01: double
decision_gap_mean: double
decision_gap_min: double
decision_gap_p01: double
decision_gap_p50: double
decision_gap_status: string
top1_prob_mean: double
top1_prob_p01: double
top1_prob_p50: double
top1_prob_p99: double
logit_hist_counts: list<item: int64>
  child 0, item: int64
logit_hist_edges: list<item: double>
  child 0, item: double
logit_hist_bins: int64
unrolled_pos: int64
block: string
loop_step: int64
layer_idx: int64
position_is_loop: bool
tokenizer: string
step: int64
checkpoint_source: string
rc: int64
slurm_job: string
acceptance: string
host: string
hub_revision: string
code_dirty: bool
probe_code_commit: string
config: string
seconds: double
checkpoint_sha256: string
name: string
source: string
layout: struct<head: int64, loop_layers: int64, cycles: int64, tail: int64, per_pass_attention: bool>
  child 0, head: int64
  child 1, loop_layers: int64
  child 2, cycles: int64
  child 3, tail: int64
  child 4, per_pass_attention: bool
hub_repo: string
src_digest: string
job_dir: string
gpu: string
to
{'config': Value('string'), 'hub_repo': Value('string'), 'hub_revision': Value('string'), 'job_dir': Value('string'), 'corpus_id': Value('string'), 'corpus_file_sha256': Value('string'), 'tokenizer': Value('string'), 'probe_code_commit': Value('string'), 'code_dirty': Value('bool'), 'src_digest': Value('string'), 'router_logits_dtype': Value('string'), 'layout': {'head': Value('int64'), 'loop_layers': Value('int64'), 'cycles': Value('int64'), 'tail': Value('int64'), 'per_pass_attention': Value('bool')}, 'step': Value('int64'), 'name': Value('string'), 'checkpoint_sha256': Value('string'), 'checkpoint_source': Value('string'), 'checkpoint_root': Value('string'), 'checkpoint_rel': Value('string'), 'host': Value('string'), 'slurm_job': Value('string'), 'gpu': Value('string'), 'seconds': Value('float64'), 'rc': Value('int64'), 'source': Value('string'), 'acceptance': 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 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
              corpus: struct<corpus_id: string, tokens_per_doc: int64, exclusion_rule: string, excluded_position: int64, e (... 168 chars omitted)
                child 0, corpus_id: string
                child 1, tokens_per_doc: int64
                child 2, exclusion_rule: string
                child 3, excluded_position: int64
                child 4, excluded_token_id: null
                child 5, n_tokens: int64
                child 6, n_tokens_before_drop: int64
                child 7, special_tokens_excluded: int64
                child 8, probe_seed: list<item: int64>
                    child 0, item: int64
                child 9, input_ids_sha8: list<item: string>
                    child 0, item: string
              checkpoint_root: string
              checkpoint_rel: string
              dump_root: string
              dump_rel: string
              manifest_step: int64
              manifest_kind: string
              producer: struct<name: string, code_revision: struct<commit: string, dirty: bool, diff_sha256: null, describe: (... 248 chars omitted)
                child 0, name: string
                child 1, code_revision: struct<commit: string, dirty: bool, diff_sha256: null, describe: string>
                    child 0, commit: string
                    child 1, dirty: bool
                    child 2, diff_sha256: null
                    child 3, describe: string
                child 2, machine: struct<hostname: string, gpu_name: string, gpu_count: int64, driver_version: string, cuda_version: s (... 51 chars omitted)
                    child 0, hostname: string
                    child 1, gpu_name: string
                    child 2, gpu_count: int64
                    child 3, driver_version: string
                    child 4, cuda_version: string
                    child 5, torch_version: string
                    child 6, slurm_job_id: string
                child 3, trace_contract: string
                child 4, train_ac_mode
              ...
              action: double
              Linf_starved_fraction: double
              L2_unit_scaled: double
              Linf_unit_scaled: double
              E_eff_2: double
              E_eff_inf: double
              L2_starved_fraction_count: double
              Linf_starved_fraction_count: double
              L2_mass_minus_count: double
              maxvio_mass: double
              maxvio_count: double
              sigma_hat: double
              metric_b_status: string
              C_mean: double
              C_p25: double
              C_p50: double
              C_p75: double
              k_eff_mean: double
              C_null: double
              C_adj: double
              margin_mean: double
              margin_raw_mean: double
              margin_raw_p01: double
              decision_gap_mean: double
              decision_gap_min: double
              decision_gap_p01: double
              decision_gap_p50: double
              decision_gap_status: string
              top1_prob_mean: double
              top1_prob_p01: double
              top1_prob_p50: double
              top1_prob_p99: double
              logit_hist_counts: list<item: int64>
                child 0, item: int64
              logit_hist_edges: list<item: double>
                child 0, item: double
              logit_hist_bins: int64
              unrolled_pos: int64
              block: string
              loop_step: int64
              layer_idx: int64
              position_is_loop: bool
              tokenizer: string
              step: int64
              checkpoint_source: string
              rc: int64
              slurm_job: string
              acceptance: string
              host: string
              hub_revision: string
              code_dirty: bool
              probe_code_commit: string
              config: string
              seconds: double
              checkpoint_sha256: string
              name: string
              source: string
              layout: struct<head: int64, loop_layers: int64, cycles: int64, tail: int64, per_pass_attention: bool>
                child 0, head: int64
                child 1, loop_layers: int64
                child 2, cycles: int64
                child 3, tail: int64
                child 4, per_pass_attention: bool
              hub_repo: string
              src_digest: string
              job_dir: string
              gpu: string
              to
              {'config': Value('string'), 'hub_repo': Value('string'), 'hub_revision': Value('string'), 'job_dir': Value('string'), 'corpus_id': Value('string'), 'corpus_file_sha256': Value('string'), 'tokenizer': Value('string'), 'probe_code_commit': Value('string'), 'code_dirty': Value('bool'), 'src_digest': Value('string'), 'router_logits_dtype': Value('string'), 'layout': {'head': Value('int64'), 'loop_layers': Value('int64'), 'cycles': Value('int64'), 'tail': Value('int64'), 'per_pass_attention': Value('bool')}, 'step': Value('int64'), 'name': Value('string'), 'checkpoint_sha256': Value('string'), 'checkpoint_source': Value('string'), 'checkpoint_root': Value('string'), 'checkpoint_rel': Value('string'), 'host': Value('string'), 'slurm_job': Value('string'), 'gpu': Value('string'), 'seconds': Value('float64'), 'rc': Value('int64'), 'source': Value('string'), 'acceptance': Value('string')}
              because column names don't match