Datasets:

---

dbiton

/

SuiStatistics

like 0

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 1 new columns ({'clique_number'}) and 1 missing columns ({'clique_number_approx'}).

This happened while the csv dataset builder was generating data using

hf://datasets/dbiton/SuiStatistics/150Mx100.csv (at revision af89e8321b96a61b9dac8b9ed06a6c9416564a58)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              assortativity: double
              block_number: int64
              clique_number: int64
              cluster_coe: double
              degeneracy: int64
              degree: double
              density: double
              diameter: int64
              digest: string
              epoch: int64
              failed_AddressDeniedForCoin: int64
              failed_ArityMismatch: int64
              failed_CertificateDenied: int64
              failed_CircularObjectOwnership: int64
              failed_CoinBalanceOverflow: int64
              failed_CoinTypeGlobalPause: int64
              failed_CommandArgumentError: int64
              failed_EffectsTooLarge: int64
              failed_ExecutionCancelledDueToRandomnessUnavailable: int64
              failed_ExecutionCancelledDueToSharedObjectCongestion: int64
              failed_FeatureNotYetSupported: int64
              failed_FunctionNotFound: int64
              failed_InputObjectDeleted: int64
              failed_InsufficientCoinBalance: int64
              failed_InsufficientGas: int64
              failed_InvalidGasObject: int64
              failed_InvalidLinkage: int64
              failed_InvalidPublicFunctionReturnType: int64
              failed_InvalidTransferObject: int64
              failed_InvariantViolation: int64
              failed_MoveAbort: int64
              failed_MoveObjectTooBig: int64
              failed_MovePackageTooBig: int64
              failed_MovePrimitiveRuntimeError: int64
              failed_MoveRawValueTooBig: int64
              failed_MoveVectorElemTooBig: int64
              failed_NonEntryFunctionInvoked: int64
              failed_PackageUpgradeError: int64
              failed_PublishErrorNonZeroAddress: int64
              failed_PublishUpgradeDependencyDowngrade: int64
              failed_PublishUpgradeMissingDependency: int64
              failed_SharedObjectOperationNotAllowed: int64
              failed_SuiMoveVerificationError: int64
              failed_SuiMoveVerificationTimedout: int64
              failed_TypeArgumentError: int64
              failed_TypeArityMismatch: int64
              failed_UnusedValueWithoutDrop: int64
              failed_VMInvariantViolation: int64
              failed_VMVerificationOrDeserializationError: int64
              failed_WrittenObjectsTooLarge: int64
              failed_unknown: int64
              greedy_color: int64
              inputs_imm_or_owned: int64
              inputs_pure: int64
              inputs_receiving: int64
              inputs_shared_mut: int64
              inputs_shared_ro: int64
              kind_AuthenticatorStateUpdate_count: int64
              kind_ChangeEpoch_count: int64
              kind_ConsensusCommitPrologueV1_count: int64
              kind_ConsensusCommitPrologueV3_count: int64
              kind_ConsensusCommitPrologue_count: int64
              kind_EndOfEpochTransaction_count: int64
              kind_Genesis_count: int64
              kind_MergeCoin_count: int64
              kind_PayAllSui_count: int64
              kind_PaySui_count: int64
              kind_Pay_count: int64
              kind_ProgrammableTransaction_count: int64
              kind_Publish_count: int64
              kind_RandomnessStateUpdate_count: int64
              kind_SplitCoin_count: int64
              kind_TransferObject_count: int64
              kind_TransferSui_count: int64
              largest_conn_comp: int64
              longest_path_length_monte_carlo: int64
              max_degree: int64
              modularity: double
              system_tx_count: int64
              timestampMs: int64
              total_sui_transfered: int64
              transitivity: double
              txs: int64
              user_tx_count: int64
              vertex_cover_nx_approx: int64
              writes_created: int64
              writes_deleted: int64
              writes_gas: int64
              writes_mutable_shared: int64
              writes_owned: int64
              writes_published: int64
              writes_system: int64
              writes_unknown: int64
              writes_unwrapped: int64
              writes_wrapped: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 13707
              to
              {'assortativity': Value(dtype='float64', id=None), 'block_number': Value(dtype='int64', id=None), 'clique_number_approx': Value(dtype='int64', id=None), 'cluster_coe': Value(dtype='float64', id=None), 'degeneracy': Value(dtype='int64', id=None), 'degree': Value(dtype='float64', id=None), 'density': Value(dtype='float64', id=None), 'diameter': Value(dtype='int64', id=None), 'digest': Value(dtype='string', id=None), 'epoch': Value(dtype='int64', id=None), 'failed_AddressDeniedForCoin': Value(dtype='int64', id=None), 'failed_ArityMismatch': Value(dtype='int64', id=None), 'failed_CertificateDenied': Value(dtype='int64', id=None), 'failed_CircularObjectOwnership': Value(dtype='int64', id=None), 'failed_CoinBalanceOverflow': Value(dtype='int64', id=None), 'failed_CoinTypeGlobalPause': Value(dtype='int64', id=None), 'failed_CommandArgumentError': Value(dtype='int64', id=None), 'failed_EffectsTooLarge': Value(dtype='int64', id=None), 'failed_ExecutionCancelledDueToRandomnessUnavailable': Value(dtype='int64', id=None), 'failed_ExecutionCancelledDueToSharedObjectCongestion': Value(dtype='int64', id=None), 'failed_FeatureNotYetSupported': Value(dtype='int64', id=None), 'failed_FunctionNotFound': Value(dtype='int64', id=None), 'failed_InputObjectDeleted': Value(dtype='int64', id=None), 'failed_InsufficientCoinBalance': Value(dtype='int64', id=None), 'failed_InsufficientGas': Value(dtype='int64', id=None), 'failed_InvalidGasObject': Value(dtype='int64', id=None), 'failed_InvalidLinkage': 
              ...
              ySui_count': Value(dtype='int64', id=None), 'kind_Pay_count': Value(dtype='int64', id=None), 'kind_ProgrammableTransaction_count': Value(dtype='int64', id=None), 'kind_Publish_count': Value(dtype='int64', id=None), 'kind_RandomnessStateUpdate_count': Value(dtype='int64', id=None), 'kind_SplitCoin_count': Value(dtype='int64', id=None), 'kind_TransferObject_count': Value(dtype='int64', id=None), 'kind_TransferSui_count': Value(dtype='int64', id=None), 'largest_conn_comp': Value(dtype='int64', id=None), 'longest_path_length_monte_carlo': Value(dtype='int64', id=None), 'max_degree': Value(dtype='int64', id=None), 'modularity': Value(dtype='float64', id=None), 'system_tx_count': Value(dtype='int64', id=None), 'timestampMs': Value(dtype='int64', id=None), 'total_sui_transfered': Value(dtype='int64', id=None), 'transitivity': Value(dtype='float64', id=None), 'txs': Value(dtype='int64', id=None), 'user_tx_count': Value(dtype='int64', id=None), 'vertex_cover_nx_approx': Value(dtype='int64', id=None), 'writes_created': Value(dtype='int64', id=None), 'writes_deleted': Value(dtype='int64', id=None), 'writes_gas': Value(dtype='int64', id=None), 'writes_mutable_shared': Value(dtype='int64', id=None), 'writes_owned': Value(dtype='int64', id=None), 'writes_published': Value(dtype='int64', id=None), 'writes_system': Value(dtype='int64', id=None), 'writes_unknown': Value(dtype='int64', id=None), 'writes_unwrapped': Value(dtype='int64', id=None), 'writes_wrapped': Value(dtype='int64', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1436, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1053, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1873, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 1 new columns ({'clique_number'}) and 1 missing columns ({'clique_number_approx'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/dbiton/SuiStatistics/150Mx100.csv (at revision af89e8321b96a61b9dac8b9ed06a6c9416564a58)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)