Datasets:

---

maxiboch

/

diffusionblocks-e2

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
config: struct<vocab: int64, dim: int64, n_blocks: int64, n_heads: int64, seq: int64, mlp_mult: int64>
  child 0, vocab: int64
  child 1, dim: int64
  child 2, n_blocks: int64
  child 3, n_heads: int64
  child 4, seq: int64
  child 5, mlp_mult: int64
batch: int64
budget_seconds: double
device: string
gpu: string
bytes: struct<activation_bytes_per_seam: int64, seams: int64, e2e_seam_traffic_per_step: int64, local_seam_ (... 174 chars omitted)
  child 0, activation_bytes_per_seam: int64
  child 1, seams: int64
  child 2, e2e_seam_traffic_per_step: int64
  child 3, local_seam_traffic_per_step: int64
  child 4, seam_traffic_ratio: double
  child 5, allreduce_per_stage_per_step: int64
  child 6, allreduce_note: string
  child 7, params: int64
  child 8, params_non_embed: int64
  child 9, embed_share: double
arms: struct<e2e: struct<arm: string, steps: int64, tokens: int64, elapsed_s: double, tokens_per_s: double (... 431 chars omitted)
  child 0, e2e: struct<arm: string, steps: int64, tokens: int64, elapsed_s: double, tokens_per_s: double, final_loss (... 147 chars omitted)
      child 0, arm: string
      child 1, steps: int64
      child 2, tokens: int64
      child 3, elapsed_s: double
      child 4, tokens_per_s: double
      child 5, final_loss: double
      child 6, final_ppl: double
      child 7, peak_vram_bytes: int64
      child 8, loss_curve: list<item: double>
          child 0, item: double
      child 9, block_selection_counts: null
      child 10, train_loss_selected_block: null
  child 1, local: struct<arm: string, steps: int64, tokens: int64, elapsed_s: double, tokens_per_s: double, final_loss (... 162 chars omitted)
      child 0, arm: string
      child 1, steps: int64
      child 2, tokens: int64
      child 3, elapsed_s: double
      child 4, tokens_per_s: double
      child 5, final_loss: double
      child 6, final_ppl: double
      child 7, peak_vram_bytes: int64
      child 8, loss_curve: list<item: double>
          child 0, item: double
      child 9, block_selection_counts: list<item: int64>
          child 0, item: int64
      child 10, train_loss_selected_block: double
seam_traffic_ratio: double
traffic_ratio_e2e_over_local: double
to
{'config': {'vocab': Value('int64'), 'dim': Value('int64'), 'n_blocks': Value('int64'), 'n_heads': Value('int64'), 'seq': Value('int64'), 'mlp_mult': Value('int64')}, 'batch': Value('int64'), 'budget_seconds': Value('float64'), 'device': Value('string'), 'gpu': Value('string'), 'bytes': {'activation_bytes_per_seam': Value('int64'), 'seams': Value('int64'), 'e2e_per_step': Value('int64'), 'local_per_step': Value('int64'), 'e2e_allreduce_per_step': Value('int64'), 'e2e_allreduce_non_embed': Value('int64'), 'params': Value('int64'), 'params_non_embed': Value('int64'), 'embed_share': Value('float64')}, 'arms': {'e2e': {'arm': Value('string'), 'steps': Value('int64'), 'tokens': Value('int64'), 'elapsed_s': Value('float64'), 'tokens_per_s': Value('float64'), 'final_loss': Value('float64'), 'final_ppl': Value('float64'), 'peak_vram_bytes': Value('int64'), 'loss_curve': List(Value('float64'))}, 'local': {'arm': Value('string'), 'steps': Value('int64'), 'tokens': Value('int64'), 'elapsed_s': Value('float64'), 'tokens_per_s': Value('float64'), 'final_loss': Value('float64'), 'final_ppl': Value('float64'), 'peak_vram_bytes': Value('int64'), 'loss_curve': List(Value('float64'))}}, 'traffic_ratio_e2e_over_local': 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
              config: struct<vocab: int64, dim: int64, n_blocks: int64, n_heads: int64, seq: int64, mlp_mult: int64>
                child 0, vocab: int64
                child 1, dim: int64
                child 2, n_blocks: int64
                child 3, n_heads: int64
                child 4, seq: int64
                child 5, mlp_mult: int64
              batch: int64
              budget_seconds: double
              device: string
              gpu: string
              bytes: struct<activation_bytes_per_seam: int64, seams: int64, e2e_seam_traffic_per_step: int64, local_seam_ (... 174 chars omitted)
                child 0, activation_bytes_per_seam: int64
                child 1, seams: int64
                child 2, e2e_seam_traffic_per_step: int64
                child 3, local_seam_traffic_per_step: int64
                child 4, seam_traffic_ratio: double
                child 5, allreduce_per_stage_per_step: int64
                child 6, allreduce_note: string
                child 7, params: int64
                child 8, params_non_embed: int64
                child 9, embed_share: double
              arms: struct<e2e: struct<arm: string, steps: int64, tokens: int64, elapsed_s: double, tokens_per_s: double (... 431 chars omitted)
                child 0, e2e: struct<arm: string, steps: int64, tokens: int64, elapsed_s: double, tokens_per_s: double, final_loss (... 147 chars omitted)
                    child 0, arm: string
                    child 1, steps: int64
                    child 2, tokens: int64
                    child 3, elapsed_s: double
                    child 4, tokens_per_s: double
                    child 5, final_loss: double
                    child 6, final_ppl: double
                    child 7, peak_vram_bytes: int64
                    child 8, loss_curve: list<item: double>
                        child 0, item: double
                    child 9, block_selection_counts: null
                    child 10, train_loss_selected_block: null
                child 1, local: struct<arm: string, steps: int64, tokens: int64, elapsed_s: double, tokens_per_s: double, final_loss (... 162 chars omitted)
                    child 0, arm: string
                    child 1, steps: int64
                    child 2, tokens: int64
                    child 3, elapsed_s: double
                    child 4, tokens_per_s: double
                    child 5, final_loss: double
                    child 6, final_ppl: double
                    child 7, peak_vram_bytes: int64
                    child 8, loss_curve: list<item: double>
                        child 0, item: double
                    child 9, block_selection_counts: list<item: int64>
                        child 0, item: int64
                    child 10, train_loss_selected_block: double
              seam_traffic_ratio: double
              traffic_ratio_e2e_over_local: double
              to
              {'config': {'vocab': Value('int64'), 'dim': Value('int64'), 'n_blocks': Value('int64'), 'n_heads': Value('int64'), 'seq': Value('int64'), 'mlp_mult': Value('int64')}, 'batch': Value('int64'), 'budget_seconds': Value('float64'), 'device': Value('string'), 'gpu': Value('string'), 'bytes': {'activation_bytes_per_seam': Value('int64'), 'seams': Value('int64'), 'e2e_per_step': Value('int64'), 'local_per_step': Value('int64'), 'e2e_allreduce_per_step': Value('int64'), 'e2e_allreduce_non_embed': Value('int64'), 'params': Value('int64'), 'params_non_embed': Value('int64'), 'embed_share': Value('float64')}, 'arms': {'e2e': {'arm': Value('string'), 'steps': Value('int64'), 'tokens': Value('int64'), 'elapsed_s': Value('float64'), 'tokens_per_s': Value('float64'), 'final_loss': Value('float64'), 'final_ppl': Value('float64'), 'peak_vram_bytes': Value('int64'), 'loss_curve': List(Value('float64'))}, 'local': {'arm': Value('string'), 'steps': Value('int64'), 'tokens': Value('int64'), 'elapsed_s': Value('float64'), 'tokens_per_s': Value('float64'), 'final_loss': Value('float64'), 'final_ppl': Value('float64'), 'peak_vram_bytes': Value('int64'), 'loss_curve': List(Value('float64'))}}, 'traffic_ratio_e2e_over_local': Value('float64')}
              because column names don't match