Datasets:

---

michalis13

/

risk-ledger

like 4

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 20 new columns ({'spec_hash', 'entered_at', 'executable_exit_pnl', 'exit_policy_id', 'held_s', 'pnl_ladder_json', 'exit_reason', 'simulation_ok', 'event_quote_pnl', 'exit_slot', 'stop_gap_pct', 'signal_code_hash', 'exit_at', 'created_at', 'exit_delay_ms', 'transaction_error', 'priority_fee', 'exit_code_hash', 'trigger_pnl', 'policy_id'}) and 50 missing columns ({'rise', 'entry_vs', 'anat_same_slot', 'tier', 'mae', 'tm30_min', 't50_min', 'position_lamports', 'mfe', 'graduated_min', 'status', 'anat_method', 'das_hhi', 'anat_first3_slots', 'entry_at', 'fine_path_json', 'fee_bps', 'signal_slot', 'signal_at', 'run_id_now', 'anat_top1_share', 'row_code_hash', 'accel_pct', 'name', 'anat_cutoff_slot', 'policy', 'pnl60', 'pnl15', 'entry_vt', 'das_holders', 'path_json', 'anat_partial', 'collector_version', 'ledger_t0', 'network_lamports', 'anat_frozen', 'pnl_flag', 'anat_txs', 'anat_buyers', 'das_top1_pct', 'rate', 'accel', 'schema_version', 'first_passage', 'feature_version', 'net_in', 'graduated', 'das_top10_pct', 'das_gini', 'signal_age_s'}).

This happened while the csv dataset builder was generating data using

hf://datasets/michalis13/risk-ledger/paper_exit_results.csv (at revision c6189c8b5a12041ca903878a6733ba8e3edd149f), ['hf://datasets/michalis13/risk-ledger@c6189c8b5a12041ca903878a6733ba8e3edd149f/momentum_export.csv', 'hf://datasets/michalis13/risk-ledger@c6189c8b5a12041ca903878a6733ba8e3edd149f/paper_exit_results.csv', 'hf://datasets/michalis13/risk-ledger@c6189c8b5a12041ca903878a6733ba8e3edd149f/policy_signals_export.csv', 'hf://datasets/michalis13/risk-ledger@c6189c8b5a12041ca903878a6733ba8e3edd149f/research_export.csv']

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 "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              signal_id: string
              exit_policy_id: string
              policy_id: string
              mint: string
              entered_at: double
              exit_at: double
              exit_slot: int64
              exit_reason: string
              trigger_pnl: double
              executable_exit_pnl: double
              stop_gap_pct: double
              exit_delay_ms: int64
              held_s: double
              pnl_ladder_json: string
              priority_fee: double
              simulation_ok: double
              transaction_error: double
              code_hash: string
              boot_id: string
              created_at: double
              event_quote_pnl: double
              signal_code_hash: string
              exit_code_hash: string
              spec_hash: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3227
              to
              {'code_hash': Value('string'), 'schema_version': Value('string'), 'collector_version': Value('string'), 'feature_version': Value('string'), 'boot_id': Value('string'), 'run_id_now': Value('string'), 'mint': Value('string'), 'name': Value('string'), 'policy': Value('string'), 'signal_at': Value('float64'), 'signal_age_s': Value('float64'), 'rate': Value('float64'), 'accel': Value('float64'), 'net_in': Value('float64'), 'rise': Value('float64'), 'entry_at': Value('float64'), 'entry_vs': Value('float64'), 'entry_vt': Value('float64'), 'pnl15': Value('float64'), 'pnl60': Value('float64'), 'graduated': Value('int64'), 'status': Value('string'), 'anat_txs': Value('float64'), 'anat_buyers': Value('float64'), 'anat_top1_share': Value('float64'), 'anat_same_slot': Value('float64'), 'anat_first3_slots': Value('float64'), 'anat_partial': Value('float64'), 'mfe': Value('float64'), 'mae': Value('float64'), 't50_min': Value('float64'), 'tm30_min': Value('float64'), 'first_passage': Value('string'), 'pnl_flag': Value('float64'), 'accel_pct': Value('float64'), 'tier': Value('string'), 'signal_id': Value('string'), 'signal_slot': Value('float64'), 'anat_frozen': Value('float64'), 'anat_cutoff_slot': Value('float64'), 'anat_method': Value('string'), 'row_code_hash': Value('string'), 'das_holders': Value('float64'), 'das_top1_pct': Value('float64'), 'das_top10_pct': Value('float64'), 'das_gini': Value('float64'), 'das_hhi': Value('float64'), 'fine_path_json': Value('string'), 'ledger_t0': Value('float64'), 'graduated_min': Value('float64'), 'path_json': Value('string'), 'fee_bps': Value('int64'), 'network_lamports': Value('int64'), 'position_lamports': Value('int64')}
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 20 new columns ({'spec_hash', 'entered_at', 'executable_exit_pnl', 'exit_policy_id', 'held_s', 'pnl_ladder_json', 'exit_reason', 'simulation_ok', 'event_quote_pnl', 'exit_slot', 'stop_gap_pct', 'signal_code_hash', 'exit_at', 'created_at', 'exit_delay_ms', 'transaction_error', 'priority_fee', 'exit_code_hash', 'trigger_pnl', 'policy_id'}) and 50 missing columns ({'rise', 'entry_vs', 'anat_same_slot', 'tier', 'mae', 'tm30_min', 't50_min', 'position_lamports', 'mfe', 'graduated_min', 'status', 'anat_method', 'das_hhi', 'anat_first3_slots', 'entry_at', 'fine_path_json', 'fee_bps', 'signal_slot', 'signal_at', 'run_id_now', 'anat_top1_share', 'row_code_hash', 'accel_pct', 'name', 'anat_cutoff_slot', 'policy', 'pnl60', 'pnl15', 'entry_vt', 'das_holders', 'path_json', 'anat_partial', 'collector_version', 'ledger_t0', 'network_lamports', 'anat_frozen', 'pnl_flag', 'anat_txs', 'anat_buyers', 'das_top1_pct', 'rate', 'accel', 'schema_version', 'first_passage', 'feature_version', 'net_in', 'graduated', 'das_top10_pct', 'das_gini', 'signal_age_s'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/michalis13/risk-ledger/paper_exit_results.csv (at revision c6189c8b5a12041ca903878a6733ba8e3edd149f), ['hf://datasets/michalis13/risk-ledger@c6189c8b5a12041ca903878a6733ba8e3edd149f/momentum_export.csv', 'hf://datasets/michalis13/risk-ledger@c6189c8b5a12041ca903878a6733ba8e3edd149f/paper_exit_results.csv', 'hf://datasets/michalis13/risk-ledger@c6189c8b5a12041ca903878a6733ba8e3edd149f/policy_signals_export.csv', 'hf://datasets/michalis13/risk-ledger@c6189c8b5a12041ca903878a6733ba8e3edd149f/research_export.csv']
              
              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)