Datasets:

---

crepejung00

/

franka-multitask-finetunes

like 1

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
q01: list<item: double>
  child 0, item: double
q99: list<item: double>
  child 0, item: double
mean: list<item: double>
  child 0, item: double
std: list<item: double>
  child 0, item: double
min: list<item: double>
  child 0, item: double
max: list<item: double>
  child 0, item: double
mask: list<item: bool>
  child 0, item: bool
normalizer_unit: string
timing_signature: string
metadata: struct<source: string, tasks: list<item: string>, eval_ratio: double, gripper_inverted_to_match_open (... 99 chars omitted)
  child 0, source: string
  child 1, tasks: list<item: string>
      child 0, item: string
  child 2, eval_ratio: double
  child 3, gripper_inverted_to_match_openx_spec: bool
  child 4, rows_by_task: struct<pickplace: int64, chocomilk: int64, kitchen: int64, pot: int64>
      child 0, pickplace: int64
      child 1, chocomilk: int64
      child 2, kitchen: int64
      child 3, pot: int64
train_micro_batch_size_per_gpu: int64
gradient_accumulation_steps: int64
wall_clock_breakdown: bool
gradient_clipping: double
optimizer: struct<type: string, params: struct<lr: double, betas: list<item: double>, eps: double, weight_decay (... 10 chars omitted)
  child 0, type: string
  child 1, params: struct<lr: double, betas: list<item: double>, eps: double, weight_decay: double>
      child 0, lr: double
      child 1, betas: list<item: double>
          child 0, item: double
      child 2, eps: double
      child 3, weight_decay: double
steps_per_print: int64
bf16: struct<enabled: bool>
  child 0, enabled: bool
activation_checkpointing: struct<partition_activations: bool, cpu_checkpointing: bool, contiguous_memory_optimization: bool, n (... 24 chars omitted)
  child 0, partition_activations: bool
  child 1, cpu_checkpointing: bool
  child 2, contiguous_memory_optimization: bool
  child 3, number_checkpoints: null
zero_optimization: struct<stage: int64, offload_optimizer: struct<device: string>, contiguous_gradients: bool, overlap_ (... 92 chars omitted)
  child 0, stage: int64
  child 1, offload_optimizer: struct<device: string>
      child 0, device: string
  child 2, contiguous_gradients: bool
  child 3, overlap_comm: bool
  child 4, reduce_scatter: bool
  child 5, reduce_bucket_size: double
  child 6, allgather_bucket_size: double
to
{'train_micro_batch_size_per_gpu': Value('int64'), 'gradient_accumulation_steps': Value('int64'), 'gradient_clipping': Value('float64'), 'steps_per_print': Value('int64'), 'zero_optimization': {'stage': Value('int64'), 'offload_optimizer': {'device': Value('string')}, 'contiguous_gradients': Value('bool'), 'overlap_comm': Value('bool'), 'reduce_scatter': Value('bool'), 'reduce_bucket_size': Value('float64'), 'allgather_bucket_size': Value('float64')}, 'bf16': {'enabled': Value('bool')}, 'optimizer': {'type': Value('string'), 'params': {'lr': Value('float64'), 'betas': List(Value('float64')), 'eps': Value('float64'), 'weight_decay': Value('float64')}}, 'activation_checkpointing': {'partition_activations': Value('bool'), 'cpu_checkpointing': Value('bool'), 'contiguous_memory_optimization': Value('bool'), 'number_checkpoints': Value('null')}, 'wall_clock_breakdown': Value('bool')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              q01: list<item: double>
                child 0, item: double
              q99: list<item: double>
                child 0, item: double
              mean: list<item: double>
                child 0, item: double
              std: list<item: double>
                child 0, item: double
              min: list<item: double>
                child 0, item: double
              max: list<item: double>
                child 0, item: double
              mask: list<item: bool>
                child 0, item: bool
              normalizer_unit: string
              timing_signature: string
              metadata: struct<source: string, tasks: list<item: string>, eval_ratio: double, gripper_inverted_to_match_open (... 99 chars omitted)
                child 0, source: string
                child 1, tasks: list<item: string>
                    child 0, item: string
                child 2, eval_ratio: double
                child 3, gripper_inverted_to_match_openx_spec: bool
                child 4, rows_by_task: struct<pickplace: int64, chocomilk: int64, kitchen: int64, pot: int64>
                    child 0, pickplace: int64
                    child 1, chocomilk: int64
                    child 2, kitchen: int64
                    child 3, pot: int64
              train_micro_batch_size_per_gpu: int64
              gradient_accumulation_steps: int64
              wall_clock_breakdown: bool
              gradient_clipping: double
              optimizer: struct<type: string, params: struct<lr: double, betas: list<item: double>, eps: double, weight_decay (... 10 chars omitted)
                child 0, type: string
                child 1, params: struct<lr: double, betas: list<item: double>, eps: double, weight_decay: double>
                    child 0, lr: double
                    child 1, betas: list<item: double>
                        child 0, item: double
                    child 2, eps: double
                    child 3, weight_decay: double
              steps_per_print: int64
              bf16: struct<enabled: bool>
                child 0, enabled: bool
              activation_checkpointing: struct<partition_activations: bool, cpu_checkpointing: bool, contiguous_memory_optimization: bool, n (... 24 chars omitted)
                child 0, partition_activations: bool
                child 1, cpu_checkpointing: bool
                child 2, contiguous_memory_optimization: bool
                child 3, number_checkpoints: null
              zero_optimization: struct<stage: int64, offload_optimizer: struct<device: string>, contiguous_gradients: bool, overlap_ (... 92 chars omitted)
                child 0, stage: int64
                child 1, offload_optimizer: struct<device: string>
                    child 0, device: string
                child 2, contiguous_gradients: bool
                child 3, overlap_comm: bool
                child 4, reduce_scatter: bool
                child 5, reduce_bucket_size: double
                child 6, allgather_bucket_size: double
              to
              {'train_micro_batch_size_per_gpu': Value('int64'), 'gradient_accumulation_steps': Value('int64'), 'gradient_clipping': Value('float64'), 'steps_per_print': Value('int64'), 'zero_optimization': {'stage': Value('int64'), 'offload_optimizer': {'device': Value('string')}, 'contiguous_gradients': Value('bool'), 'overlap_comm': Value('bool'), 'reduce_scatter': Value('bool'), 'reduce_bucket_size': Value('float64'), 'allgather_bucket_size': Value('float64')}, 'bf16': {'enabled': Value('bool')}, 'optimizer': {'type': Value('string'), 'params': {'lr': Value('float64'), 'betas': List(Value('float64')), 'eps': Value('float64'), 'weight_decay': Value('float64')}}, 'activation_checkpointing': {'partition_activations': Value('bool'), 'cpu_checkpointing': Value('bool'), 'contiguous_memory_optimization': Value('bool'), 'number_checkpoints': Value('null')}, 'wall_clock_breakdown': Value('bool')}
              because column names don't match