Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
kind: string
dataset: string
source: string
rights_note: string
ts: string
assets: list<item: string>
child 0, item: string
rows: struct<BTC-USD: int64, ETH-USD: int64, SOL-USD: int64>
child 0, BTC-USD: int64
child 1, ETH-USD: int64
child 2, SOL-USD: int64
window: string
data_sha256: string
SOL-USD: list<item: struct<t: int64, lo: double, hi: double, o: double, c: double, v: double>>
child 0, item: struct<t: int64, lo: double, hi: double, o: double, c: double, v: double>
child 0, t: int64
child 1, lo: double
child 2, hi: double
child 3, o: double
child 4, c: double
child 5, v: double
ETH-USD: list<item: struct<t: int64, lo: double, hi: double, o: double, c: double, v: double>>
child 0, item: struct<t: int64, lo: double, hi: double, o: double, c: double, v: double>
child 0, t: int64
child 1, lo: double
child 2, hi: double
child 3, o: double
child 4, c: double
child 5, v: double
BTC-USD: list<item: struct<t: int64, lo: double, hi: double, o: double, c: double, v: double>>
child 0, item: struct<t: int64, lo: double, hi: double, o: double, c: double, v: double>
child 0, t: int64
child 1, lo: double
child 2, hi: double
child 3, o: double
child 4, c: double
child 5, v: double
to
{'BTC-USD': List({'t': Value('int64'), 'lo': Value('float64'), 'hi': Value('float64'), 'o': Value('float64'), 'c': Value('float64'), 'v': Value('float64')}), 'ETH-USD': List({'t': Value('int64'), 'lo': Value('float64'), 'hi': Value('float64'), 'o': Value('float64'), 'c': Value('float64'), 'v': Value('float64')}), 'SOL-USD': List({'t': Value('int64'), 'lo': Value('float64'), 'hi': Value('float64'), 'o': Value('float64'), 'c': Value('float64'), 'v': Value('float64')})}
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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
kind: string
dataset: string
source: string
rights_note: string
ts: string
assets: list<item: string>
child 0, item: string
rows: struct<BTC-USD: int64, ETH-USD: int64, SOL-USD: int64>
child 0, BTC-USD: int64
child 1, ETH-USD: int64
child 2, SOL-USD: int64
window: string
data_sha256: string
SOL-USD: list<item: struct<t: int64, lo: double, hi: double, o: double, c: double, v: double>>
child 0, item: struct<t: int64, lo: double, hi: double, o: double, c: double, v: double>
child 0, t: int64
child 1, lo: double
child 2, hi: double
child 3, o: double
child 4, c: double
child 5, v: double
ETH-USD: list<item: struct<t: int64, lo: double, hi: double, o: double, c: double, v: double>>
child 0, item: struct<t: int64, lo: double, hi: double, o: double, c: double, v: double>
child 0, t: int64
child 1, lo: double
child 2, hi: double
child 3, o: double
child 4, c: double
child 5, v: double
BTC-USD: list<item: struct<t: int64, lo: double, hi: double, o: double, c: double, v: double>>
child 0, item: struct<t: int64, lo: double, hi: double, o: double, c: double, v: double>
child 0, t: int64
child 1, lo: double
child 2, hi: double
child 3, o: double
child 4, c: double
child 5, v: double
to
{'BTC-USD': List({'t': Value('int64'), 'lo': Value('float64'), 'hi': Value('float64'), 'o': Value('float64'), 'c': Value('float64'), 'v': Value('float64')}), 'ETH-USD': List({'t': Value('int64'), 'lo': Value('float64'), 'hi': Value('float64'), 'o': Value('float64'), 'c': Value('float64'), 'v': Value('float64')}), 'SOL-USD': List({'t': Value('int64'), 'lo': Value('float64'), 'hi': Value('float64'), 'o': Value('float64'), 'c': Value('float64'), 'v': Value('float64')})}
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.
puriq-market-data
Real OHLCV hourly candles (BTC, ETH, SOL β 350 hourly rows each) for the PURIQ vertical's quant work: volatility estimation, abstention-gate calibration, backtests.
Provenance
- Source: Coinbase Exchange public API (keyless fetch)
- Ingest receipt:
ingest-receipt.jsonβ fetch time, per-asset row counts, data sha256 - Rights: exchange market data; research/evaluation use. Not a licensed redistribution product.
- Fail-closed: every fetch is receipted; stale data is refetched, never cached as fresh.
Why it exists
The estate's quant vertical (PURIQ) needs rights-labeled market data with provenance from birth. Every ingest writes a receipt to the chain. This is the honest version of a market-data feed: 350 hourly rows per asset, sha256-stamped.
Generated by the PURIQ ingest lane; receipt sha256: 805462ea6b667d91β¦
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