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test

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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
split: string
games: int64
model_pnl_per_game: double
teacher_pnl_per_game: double
no_trade_pnl_per_game: double
model_actions: struct<buy_team0: int64, settled: int64, blocked_buy: int64>
  child 0, buy_team0: int64
  child 1, settled: int64
  child 2, blocked_buy: int64
teacher_actions: struct<buy_team1: int64, no_trade: int64, unwind: int64, buy_team0: int64, settled: int64>
  child 0, buy_team1: int64
  child 1, no_trade: int64
  child 2, unwind: int64
  child 3, buy_team0: int64
  child 4, settled: int64
model_invalid: int64
teacher_invalid: int64
fee: double
accounting: string
teacher_val_reference: double
invalid_output_rate: double
eval_states: int64
teacher: struct<avg_pnl_per_game: double, games_profitable: int64, trades: int64>
  child 0, avg_pnl_per_game: double
  child 1, games_profitable: int64
  child 2, trades: int64
no_trade_baseline: struct<avg_pnl_per_game: double>
  child 0, avg_pnl_per_game: double
test_games: int64
model: struct<avg_pnl_per_game: double, games_profitable: int64, trades: int64, actions: struct<no_trade: i (... 57 chars omitted)
  child 0, avg_pnl_per_game: double
  child 1, games_profitable: int64
  child 2, trades: int64
  child 3, actions: struct<no_trade: int64, buy_team0: int64, unwind: int64, buy_team1: int64>
      child 0, no_trade: int64
      child 1, buy_team0: int64
      child 2, unwind: int64
      child 3, buy_team1: int64
to
{'test_games': Value('int64'), 'eval_states': Value('int64'), 'invalid_output_rate': Value('float64'), 'model': {'avg_pnl_per_game': Value('float64'), 'games_profitable': Value('int64'), 'trades': Value('int64'), 'actions': {'no_trade': Value('int64'), 'buy_team0': Value('int64'), 'unwind': Value('int64'), 'buy_team1': Value('int64')}}, 'teacher': {'avg_pnl_per_game': Value('float64'), 'games_profitable': Value('int64'), 'trades': Value('int64')}, 'no_trade_baseline': {'avg_pnl_per_game': Value('float64')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/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/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              split: string
              games: int64
              model_pnl_per_game: double
              teacher_pnl_per_game: double
              no_trade_pnl_per_game: double
              model_actions: struct<buy_team0: int64, settled: int64, blocked_buy: int64>
                child 0, buy_team0: int64
                child 1, settled: int64
                child 2, blocked_buy: int64
              teacher_actions: struct<buy_team1: int64, no_trade: int64, unwind: int64, buy_team0: int64, settled: int64>
                child 0, buy_team1: int64
                child 1, no_trade: int64
                child 2, unwind: int64
                child 3, buy_team0: int64
                child 4, settled: int64
              model_invalid: int64
              teacher_invalid: int64
              fee: double
              accounting: string
              teacher_val_reference: double
              invalid_output_rate: double
              eval_states: int64
              teacher: struct<avg_pnl_per_game: double, games_profitable: int64, trades: int64>
                child 0, avg_pnl_per_game: double
                child 1, games_profitable: int64
                child 2, trades: int64
              no_trade_baseline: struct<avg_pnl_per_game: double>
                child 0, avg_pnl_per_game: double
              test_games: int64
              model: struct<avg_pnl_per_game: double, games_profitable: int64, trades: int64, actions: struct<no_trade: i (... 57 chars omitted)
                child 0, avg_pnl_per_game: double
                child 1, games_profitable: int64
                child 2, trades: int64
                child 3, actions: struct<no_trade: int64, buy_team0: int64, unwind: int64, buy_team1: int64>
                    child 0, no_trade: int64
                    child 1, buy_team0: int64
                    child 2, unwind: int64
                    child 3, buy_team1: int64
              to
              {'test_games': Value('int64'), 'eval_states': Value('int64'), 'invalid_output_rate': Value('float64'), 'model': {'avg_pnl_per_game': Value('float64'), 'games_profitable': Value('int64'), 'trades': Value('int64'), 'actions': {'no_trade': Value('int64'), 'buy_team0': Value('int64'), 'unwind': Value('int64'), 'buy_team1': Value('int64')}}, 'teacher': {'avg_pnl_per_game': Value('float64'), 'games_profitable': Value('int64'), 'trades': Value('int64')}, 'no_trade_baseline': {'avg_pnl_per_game': Value('float64')}}
              because column names don't match

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Check out the documentation for more information.

NHL Polymarket Trading Dataset

Tick-level (1-minute) price histories for 2,191 closed Polymarket NHL moneyline markets, collected from the public Gamma/CLOB APIs, for training and backtesting a trading-decision model.

data/games_*.jsonl.gz, data/playoffs_*.jsonl.gz — one JSON record per game:
- slug, title, question, event_id — market identity
- outcomes (2 team names), outcomePrices — resolution ([1,0] first team won, [0,1] second team won)
- clobTokenIds — the two CLOB token ids the prices refer to
- gameStartTime, closedTime, market_volume, tick
- prices — [history_team0, history_team1], each a list of {t, p} (unix ts, price in USD 0–1), from gameStart − 6h to settlement + 30m at 1-minute fidelity
metadata.json — totals and schema
sft/ (added later) — hindsight/teacher-labeled SFT examples with temporal train/val/test splits

Stats

2,191 games, 2,995,522 price points
Date range: 2024-12-05 → 2026-06-15 (two NHL regular seasons + playoffs)
Min market volume filter: $10k (median ~$215k)

Provenance & licence

Collected from Polymarket public APIs on 2026-09-11. For research use — verify Polymarket ToS before any redistribution beyond this research dataset. No guarantee of trading profitability; prices are traded/mid prices at 1-min fidelity without order-book depth.

Downloads last month: 214

Total file size:

26.4 MB

Datasets:

sach0312
/

nhl-polymarket-trading

NHL Polymarket Trading Dataset

Contents

Stats

Provenance & licence