Datasets:

ClarusC64
/

market-unwind-trigger-and-cascade-pathway-v0.1

Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Failed to parse string: 'Model must output trigger, agent, cascade' as a scalar of type double
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2224, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2086, in cast_array_to_feature
                  return array_cast(
                         ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1949, in array_cast
                  return array.cast(pa_type)
                         ^^^^^^^^^^^^^^^^^^^
                File "pyarrow/array.pxi", line 1135, in pyarrow.lib.Array.cast
                File "/usr/local/lib/python3.12/site-packages/pyarrow/compute.py", line 412, in cast
                  return call_function("cast", [arr], options, memory_pool)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Failed to parse string: 'Model must output trigger, agent, cascade' as a scalar of type double
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1919, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

id string	date_window string	trade_thesis string	market_context string	stress_signal_summary string	consensus_break_trigger string	first_defector_agent_type string	unwind_velocity_score float64	cascade_path_nodes string	cross_asset_spillover_risk float64	narrative_collapse_point float64	cascade_amplification_score float64	notes string	constraints string	gold_checklist string
UTC-001	2022-01	long tech	rates rising	yields spike	rate_shock	macro_funds	0.82	equities;credit;fx	0.79	0.81	0.85	Growth rotation	Market structure only.	trigger+cascade
UTC-002	2018-02	short vol	vol spike	vix surge	volatility_event	systematic_vol	0.94	vol_etn;equities;credit	0.88	0.92	0.96	Vol unwind	Market structure only.	trigger+cascade
UTC-003	2020-03	risk parity long	pandemic shock	liquidity collapse	global_risk_event	risk_parity	0.91	equities;rates;credit;fx	0.93	0.9	0.94	Global unwind	Market structure only.	trigger+cascade
UTC-004	2023-03	bank equities	deposit stress	bank run risk	liquidity_event	regional_banks	0.73	banks;credit;equities	0.71	0.72	0.76	Funding shock	Market structure only.	trigger+cascade
UTC-005	2021-11	long crypto	leverage high	liquidations begin	margin_event	retail_leveraged	0.88	crypto;equities;fx	0.67	0.85	0.89	Leverage unwind	Market structure only.	trigger+cascade
UTC-006	2015-08	carry trade	china shock	fx gap	currency_event	macro_funds	0.77	fx;equities;commodities	0.69	0.74	0.78	Carry unwind	Market structure only.	trigger+cascade

What this dataset tests

Whether a system can identify
what breaks a crowded trade
and how the unwind spreads.

Focus

Trigger
First defector
Cascade pathway

Required outputs

consensus break trigger
first defector agent type
unwind velocity score
cascade path nodes
cross asset spillover risk
narrative collapse point
cascade amplification score

All scores
0 to 1

Higher
means faster
and more systemic cascade.

Downloads last month: 15

Total file size:

6.25 kB