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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
prompt: string
response: string
category: string
domain: string
subcategory: string
holding_time: int64
side: string
exit_price: double
entry_price: double
asi: string
symbol: string
qty: double
fees_paid: double
step: int64
pnl_usdt: double
slippage_paid: double
win: string
liq_fee_usd: double
market: string
timestamp: double
pnl_pct_after_fees: double
liquidated: string
to
{'timestamp': Value('float64'), 'step': Value('int64'), 'asi': Value('string'), 'symbol': Value('string'), 'market': Value('string'), 'side': Value('string'), 'entry_price': Value('float64'), 'exit_price': Value('float64'), 'qty': Value('float64'), 'pnl_usdt': Value('float64'), 'pnl_pct_after_fees': Value('float64'), 'fees_paid': Value('float64'), 'slippage_paid': Value('float64'), 'holding_time': Value('int64'), 'win': Value('string'), 'liquidated': Value('string'), 'liq_fee_usd': Value('float64')}
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
              prompt: string
              response: string
              category: string
              domain: string
              subcategory: string
              holding_time: int64
              side: string
              exit_price: double
              entry_price: double
              asi: string
              symbol: string
              qty: double
              fees_paid: double
              step: int64
              pnl_usdt: double
              slippage_paid: double
              win: string
              liq_fee_usd: double
              market: string
              timestamp: double
              pnl_pct_after_fees: double
              liquidated: string
              to
              {'timestamp': Value('float64'), 'step': Value('int64'), 'asi': Value('string'), 'symbol': Value('string'), 'market': Value('string'), 'side': Value('string'), 'entry_price': Value('float64'), 'exit_price': Value('float64'), 'qty': Value('float64'), 'pnl_usdt': Value('float64'), 'pnl_pct_after_fees': Value('float64'), 'fees_paid': Value('float64'), 'slippage_paid': Value('float64'), 'holding_time': Value('int64'), 'win': Value('string'), 'liquidated': Value('string'), 'liq_fee_usd': Value('float64')}
              because column names don't match

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cypher-trades-own

Own CYPHER trading data (backtest results + SFT v2 baseline dataset) for SFT generation.

Contents

  • backtest_results_cypher.jsonl (96 entries) -- Recent backtest trades with PnL/fees/slippage/liquidations
  • cypher_sft_dataset_v2.jsonl (6198 pairs) -- Existing SFT v2 baseline dataset (current trained model uses this)

Related (bulk trades)

For the FULL paper trades feedback (331K rows across all ASIs):

Schema (backtest)

{
  "timestamp": float, "step": int, "asi": "CYPHER",
  "symbol": "PROVEUSDT", "market": "crypto", "side": "short|long",
  "entry_price": float, "exit_price": float, "qty": float,
  "pnl_usdt": float, "pnl_pct_after_fees": float,
  "fees_paid": float, "slippage_paid": float,
  "holding_time": int, "win": "True|False", "liquidated": "True|False"
}

Usage for SFT v3 generation

These backtest entries serve as input for trade post-mortem analysis generation (spec target: 1500 trade post-mortem pairs in cypher-sft-v3-final).

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