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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
record_type: string
received_at_ns: int64
market_count: int64
asset_count: int64
candidate_count: int64
markets: list<item: string>
child 0, item: string
coverage: struct<scope: string, rich_market_count: int64, rich_market_limit: int64, rich_market_order: string, (... 127 chars omitted)
child 0, scope: string
child 1, rich_market_count: int64
child 2, rich_market_limit: int64
child 3, rich_market_order: string
child 4, rich_market_complete: bool
child 5, rich_market_next_cursor: string
child 6, sponsored_current_count: int64
child 7, sponsored_current_complete: bool
to
{'record_type': Value('string'), 'received_at_ns': Value('int64'), 'market_count': Value('int64'), 'asset_count': Value('int64'), 'markets': List(Json(decode=True))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 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
record_type: string
received_at_ns: int64
market_count: int64
asset_count: int64
candidate_count: int64
markets: list<item: string>
child 0, item: string
coverage: struct<scope: string, rich_market_count: int64, rich_market_limit: int64, rich_market_order: string, (... 127 chars omitted)
child 0, scope: string
child 1, rich_market_count: int64
child 2, rich_market_limit: int64
child 3, rich_market_order: string
child 4, rich_market_complete: bool
child 5, rich_market_next_cursor: string
child 6, sponsored_current_count: int64
child 7, sponsored_current_complete: bool
to
{'record_type': Value('string'), 'received_at_ns': Value('int64'), 'market_count': Value('int64'), 'asset_count': Value('int64'), 'markets': List(Json(decode=True))}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Polymarket rewarded-market L2 history
Append-only archives of public Polymarket CLOB WebSocket messages for markets eligible for liquidity rewards. The dataset is intended for market microstructure research, backtests and machine-learning experiments.
No wallet data, private keys or authenticated trading information is collected. Files are gzip-compressed JSON Lines and grouped by source and UTC date. The source data comes from Polymarket's public CLOB interfaces and remains subject to the applicable source-platform terms.
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