Datasets:

---

abdelstark

/

lensemble-dynamic-env-silos

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
accepted_action_contracts: list<item: struct<contract_id: string, dim: int64, embodiment_id: string, high: list<item: double>,  (... 107 chars omitted)
  child 0, item: struct<contract_id: string, dim: int64, embodiment_id: string, high: list<item: double>, kind: strin (... 95 chars omitted)
      child 0, contract_id: string
      child 1, dim: int64
      child 2, embodiment_id: string
      child 3, high: list<item: double>
          child 0, item: double
      child 4, kind: string
      child 5, low: list<item: double>
          child 0, item: double
      child 6, num_classes: null
      child 7, units: list<item: string>
          child 0, item: string
      child 8, wmcp_version: string
accepted_observation_contracts: list<item: struct<contract_id: string, dtype: string, frame_skip: int64, shape: list<item: int64>, w (... 21 chars omitted)
  child 0, item: struct<contract_id: string, dtype: string, frame_skip: int64, shape: list<item: int64>, wmcp_version (... 9 chars omitted)
      child 0, contract_id: string
      child 1, dtype: string
      child 2, frame_skip: int64
      child 3, shape: list<item: int64>
          child 0, item: int64
      child 4, wmcp_version: string
claim_boundary: string
consortium_id: string
generated_at: timestamp[s]
min_participant_count: int64
min_windows_per_participant: int64
participants: list<item: struct<accepted_probe_hash: string, accepted_probe_version: int64, action_contract: struc (... 649 chars omitted)
  child 0, item: stru
...
, model_card_implication: string
  child 5, probe_id: string
  child 6, version: int64
  child 7, versioning_policy: string
public_probe: struct<content_hash: string, probe_id: string, version: int64>
  child 0, content_hash: string
  child 1, probe_id: string
  child 2, version: int64
registry_id: string
run_id: string
run_mode: string
schema_version: int64
runtime: struct<dp_required: bool, dropout_retry_budget: int64, min_trainers: int64, protocol_version: string (... 91 chars omitted)
  child 0, dp_required: bool
  child 1, dropout_retry_budget: int64
  child 2, min_trainers: int64
  child 3, protocol_version: string
  child 4, secure_aggregation_backend: string
  child 5, secure_aggregation_required: bool
  child 6, transport: string
created_at: timestamp[s]
model: struct<base_checkpoint_ref: null, config_hash: null, lambda_anc: double, latent_dim: int64, model_fa (... 92 chars omitted)
  child 0, base_checkpoint_ref: null
  child 1, config_hash: null
  child 2, lambda_anc: double
  child 3, latent_dim: int64
  child 4, model_family: string
  child 5, num_tokens: int64
  child 6, objective_target_stop_gradient: bool
  child 7, wmcp_version: string
coordinator_id: string
dp_policy: struct<accountant: string, clip_norm: double, delta: double, enabled: bool, epsilon: double, noise_m (... 18 chars omitted)
  child 0, accountant: string
  child 1, clip_norm: double
  child 2, delta: double
  child 3, enabled: bool
  child 4, epsilon: double
  child 5, noise_multiplier: double
to
{'accepted_action_contracts': List({'contract_id': Value('string'), 'dim': Value('int64'), 'embodiment_id': Value('string'), 'high': List(Value('float64')), 'kind': Value('string'), 'low': List(Value('float64')), 'num_classes': Value('null'), 'units': List(Value('string')), 'wmcp_version': Value('string')}), 'accepted_observation_contracts': List({'contract_id': Value('string'), 'dtype': Value('string'), 'frame_skip': Value('int64'), 'shape': List(Value('int64')), 'wmcp_version': Value('string')}), 'claim_boundary': Value('string'), 'consortium_id': Value('string'), 'coordinator_id': Value('string'), 'created_at': Value('timestamp[s]'), 'dp_policy': {'accountant': Value('string'), 'clip_norm': Value('float64'), 'delta': Value('float64'), 'enabled': Value('bool'), 'epsilon': Value('float64'), 'noise_multiplier': Value('float64')}, 'model': {'base_checkpoint_ref': Value('null'), 'config_hash': Value('null'), 'lambda_anc': Value('float64'), 'latent_dim': Value('int64'), 'model_family': Value('string'), 'num_tokens': Value('int64'), 'objective_target_stop_gradient': Value('bool'), 'wmcp_version': Value('string')}, 'participants': List({'accepted_probe_hash': Value('string'), 'accepted_probe_version': Value('int64'), 'action_contract': {'contract_id': Value('string'), 'dim': Value('int64'), 'embodiment_id': Value('string'), 'high': List(Value('float64')), 'kind': Value('string'), 'low': List(Value('float64')), 'num_classes': Value('null'), 'units': List(Value('string')), 'wmcp_version': Value('string')}, 'capabilities': {'dp_accountants': List(Value('string')), 'max_model_latent_dim': Value('int64'), 'network_transport': Value('bool'), 'private_data_mounts': Value('bool'), 'resumable': Value('bool'), 'secure_aggregation_backends': List(Value('string'))}, 'contact': {'contact': Value('string'), 'owner': Value('string')}, 'data': {'data_ref': Value('string'), 'format': Value('string'), 'heldout_policy': Value('string'), 'license': Value('string'), 'raw_data_crosses_boundary': Value('bool'), 'smoke_report_sha256': Value('string'), 'smoke_report_uri': Value('string'), 'window_steps': Value('int64')}, 'observation_contract': {'contract_id': Value('string'), 'dtype': Value('string'), 'frame_skip': Value('int64'), 'shape': List(Value('int64')), 'wmcp_version': Value('string')}, 'participant_id': Value('string'), 'role': Value('string')}), 'public_probe': {'content_hash': Value('string'), 'probe_id': Value('string'), 'version': Value('int64')}, 'run_id': Value('string'), 'runtime': {'dp_required': Value('bool'), 'dropout_retry_budget': Value('int64'), 'min_trainers': Value('int64'), 'protocol_version': Value('string'), 'secure_aggregation_backend': Value('string'), 'secure_aggregation_required': Value('bool'), 'transport': Value('string')}, 'schema_version': Value('int64')}
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 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, 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 130, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              accepted_action_contracts: list<item: struct<contract_id: string, dim: int64, embodiment_id: string, high: list<item: double>,  (... 107 chars omitted)
                child 0, item: struct<contract_id: string, dim: int64, embodiment_id: string, high: list<item: double>, kind: strin (... 95 chars omitted)
                    child 0, contract_id: string
                    child 1, dim: int64
                    child 2, embodiment_id: string
                    child 3, high: list<item: double>
                        child 0, item: double
                    child 4, kind: string
                    child 5, low: list<item: double>
                        child 0, item: double
                    child 6, num_classes: null
                    child 7, units: list<item: string>
                        child 0, item: string
                    child 8, wmcp_version: string
              accepted_observation_contracts: list<item: struct<contract_id: string, dtype: string, frame_skip: int64, shape: list<item: int64>, w (... 21 chars omitted)
                child 0, item: struct<contract_id: string, dtype: string, frame_skip: int64, shape: list<item: int64>, wmcp_version (... 9 chars omitted)
                    child 0, contract_id: string
                    child 1, dtype: string
                    child 2, frame_skip: int64
                    child 3, shape: list<item: int64>
                        child 0, item: int64
                    child 4, wmcp_version: string
              claim_boundary: string
              consortium_id: string
              generated_at: timestamp[s]
              min_participant_count: int64
              min_windows_per_participant: int64
              participants: list<item: struct<accepted_probe_hash: string, accepted_probe_version: int64, action_contract: struc (... 649 chars omitted)
                child 0, item: stru
              ...
              , model_card_implication: string
                child 5, probe_id: string
                child 6, version: int64
                child 7, versioning_policy: string
              public_probe: struct<content_hash: string, probe_id: string, version: int64>
                child 0, content_hash: string
                child 1, probe_id: string
                child 2, version: int64
              registry_id: string
              run_id: string
              run_mode: string
              schema_version: int64
              runtime: struct<dp_required: bool, dropout_retry_budget: int64, min_trainers: int64, protocol_version: string (... 91 chars omitted)
                child 0, dp_required: bool
                child 1, dropout_retry_budget: int64
                child 2, min_trainers: int64
                child 3, protocol_version: string
                child 4, secure_aggregation_backend: string
                child 5, secure_aggregation_required: bool
                child 6, transport: string
              created_at: timestamp[s]
              model: struct<base_checkpoint_ref: null, config_hash: null, lambda_anc: double, latent_dim: int64, model_fa (... 92 chars omitted)
                child 0, base_checkpoint_ref: null
                child 1, config_hash: null
                child 2, lambda_anc: double
                child 3, latent_dim: int64
                child 4, model_family: string
                child 5, num_tokens: int64
                child 6, objective_target_stop_gradient: bool
                child 7, wmcp_version: string
              coordinator_id: string
              dp_policy: struct<accountant: string, clip_norm: double, delta: double, enabled: bool, epsilon: double, noise_m (... 18 chars omitted)
                child 0, accountant: string
                child 1, clip_norm: double
                child 2, delta: double
                child 3, enabled: bool
                child 4, epsilon: double
                child 5, noise_multiplier: double
              to
              {'accepted_action_contracts': List({'contract_id': Value('string'), 'dim': Value('int64'), 'embodiment_id': Value('string'), 'high': List(Value('float64')), 'kind': Value('string'), 'low': List(Value('float64')), 'num_classes': Value('null'), 'units': List(Value('string')), 'wmcp_version': Value('string')}), 'accepted_observation_contracts': List({'contract_id': Value('string'), 'dtype': Value('string'), 'frame_skip': Value('int64'), 'shape': List(Value('int64')), 'wmcp_version': Value('string')}), 'claim_boundary': Value('string'), 'consortium_id': Value('string'), 'coordinator_id': Value('string'), 'created_at': Value('timestamp[s]'), 'dp_policy': {'accountant': Value('string'), 'clip_norm': Value('float64'), 'delta': Value('float64'), 'enabled': Value('bool'), 'epsilon': Value('float64'), 'noise_multiplier': Value('float64')}, 'model': {'base_checkpoint_ref': Value('null'), 'config_hash': Value('null'), 'lambda_anc': Value('float64'), 'latent_dim': Value('int64'), 'model_family': Value('string'), 'num_tokens': Value('int64'), 'objective_target_stop_gradient': Value('bool'), 'wmcp_version': Value('string')}, 'participants': List({'accepted_probe_hash': Value('string'), 'accepted_probe_version': Value('int64'), 'action_contract': {'contract_id': Value('string'), 'dim': Value('int64'), 'embodiment_id': Value('string'), 'high': List(Value('float64')), 'kind': Value('string'), 'low': List(Value('float64')), 'num_classes': Value('null'), 'units': List(Value('string')), 'wmcp_version': Value('string')}, 'capabilities': {'dp_accountants': List(Value('string')), 'max_model_latent_dim': Value('int64'), 'network_transport': Value('bool'), 'private_data_mounts': Value('bool'), 'resumable': Value('bool'), 'secure_aggregation_backends': List(Value('string'))}, 'contact': {'contact': Value('string'), 'owner': Value('string')}, 'data': {'data_ref': Value('string'), 'format': Value('string'), 'heldout_policy': Value('string'), 'license': Value('string'), 'raw_data_crosses_boundary': Value('bool'), 'smoke_report_sha256': Value('string'), 'smoke_report_uri': Value('string'), 'window_steps': Value('int64')}, 'observation_contract': {'contract_id': Value('string'), 'dtype': Value('string'), 'frame_skip': Value('int64'), 'shape': List(Value('int64')), 'wmcp_version': Value('string')}, 'participant_id': Value('string'), 'role': Value('string')}), 'public_probe': {'content_hash': Value('string'), 'probe_id': Value('string'), 'version': Value('int64')}, 'run_id': Value('string'), 'runtime': {'dp_required': Value('bool'), 'dropout_retry_budget': Value('int64'), 'min_trainers': Value('int64'), 'protocol_version': Value('string'), 'secure_aggregation_backend': Value('string'), 'secure_aggregation_required': Value('bool'), 'transport': Value('string')}, 'schema_version': Value('int64')}
              because column names don't match