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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
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 match

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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.json β€” 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: 805462ea6b667d91…

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