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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
traj_id: string
turn_idx: int64
prefix: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
reference_turn: string
suffix_len: int64
n_prefix_chars: int64
prev_manifest: null
shards: list<item: struct<active: bool, key: string, n_turns: int64, sha256: string>>
  child 0, item: struct<active: bool, key: string, n_turns: int64, sha256: string>
      child 0, active: bool
      child 1, key: string
      child 2, n_turns: int64
      child 3, sha256: string
created_at: string
corpus_epoch: int64
to
{'corpus_epoch': Value('int64'), 'created_at': Value('string'), 'prev_manifest': Value('null'), 'shards': List({'active': Value('bool'), 'key': Value('string'), 'n_turns': Value('int64'), 'sha256': Value('string')})}
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
              traj_id: string
              turn_idx: int64
              prefix: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              reference_turn: string
              suffix_len: int64
              n_prefix_chars: int64
              prev_manifest: null
              shards: list<item: struct<active: bool, key: string, n_turns: int64, sha256: string>>
                child 0, item: struct<active: bool, key: string, n_turns: int64, sha256: string>
                    child 0, active: bool
                    child 1, key: string
                    child 2, n_turns: int64
                    child 3, sha256: string
              created_at: string
              corpus_epoch: int64
              to
              {'corpus_epoch': Value('int64'), 'created_at': Value('string'), 'prev_manifest': Value('null'), 'shards': List({'active': Value('bool'), 'key': Value('string'), 'n_turns': Value('int64'), 'sha256': Value('string')})}
              because column names don't match

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Affine SN120 turn corpus — epoch 1 (unverified mirror)

Mirror of the public Affine (Bittensor netuid 120) turn corpus shard, fetched from the Hippius S3 bucket on 2026-08-07.

  • Source manifest: https://s3.hippius.com/affine-sn120/turns/manifest.json
  • Source shard: https://s3.hippius.com/affine-sn120/turns/shards/turns_epoch_0001.jsonl.gz
  • corpus_epoch: 1 · n_turns (declared): 9000 · turns (counted): 9000
  • Per-turn schema: traj_id, turn_idx, prefix, reference_turn, suffix_len, n_prefix_chars

⚠️ Integrity warning — this data does NOT match the pinned manifest hash

The Affine corpus contract is sha-pinned and fail-closed: the eval pod verifies every shard's sha256 against the manifest and refuses to use a corpus that does not match. This mirror fails that check and must be treated as unverified / untrusted:

sha256
manifest pins (turns_epoch_0001.jsonl.gz) a30a3b5da61186a200dd2e16e4bc3e4bdf1a6ffaeaf81e005b5f8121ba5608c9
this file (downloaded 2026-08-07) 902d8dd9b24ee9dd439175e9c19bc7a12c03b7d57e012474af4aec317be73b91

The download was complete and valid gzip (HTTP 200, application/gzip, full Content-Length, decompresses to 9000 JSONL lines), and the hash was stable across repeated fetches — so this is not a truncated or corrupt download. The turn count matches exactly, suggesting a re-serialization / re-compression of the same underlying turns rather than different content. However, because the sha256 disagrees with the official manifest pin, do not treat this as the canonical SN120 corpus. Anyone relying on the pinned corpus should fetch and verify directly from the source manifest.

Files

  • turns/shards/turns_epoch_0001.jsonl.gz — the raw shard as downloaded
  • manifest.json — the source manifest (for reference / hash comparison)
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