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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
schema: string
source_tree: string
archive_path: string
archive_bytes: int64
archive_sha256: string
members: int64
regular_files: int64
directories: int64
other_members: int64
regular_payload_bytes: int64
unsafe_or_wrong_root_count: int64
root_member: string
files: list<item: struct<remote_path: string, source_path: string, bytes: int64, sha256: string, related_mo (... 22 chars omitted)
  child 0, item: struct<remote_path: string, source_path: string, bytes: int64, sha256: string, related_model_revisio (... 10 chars omitted)
      child 0, remote_path: string
      child 1, source_path: string
      child 2, bytes: int64
      child 3, sha256: string
      child 4, related_model_revision: string
to
{'schema': Value('string'), 'files': List({'remote_path': Value('string'), 'source_path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string'), 'related_model_revision': Value('string')})}
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 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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
              schema: string
              source_tree: string
              archive_path: string
              archive_bytes: int64
              archive_sha256: string
              members: int64
              regular_files: int64
              directories: int64
              other_members: int64
              regular_payload_bytes: int64
              unsafe_or_wrong_root_count: int64
              root_member: string
              files: list<item: struct<remote_path: string, source_path: string, bytes: int64, sha256: string, related_mo (... 22 chars omitted)
                child 0, item: struct<remote_path: string, source_path: string, bytes: int64, sha256: string, related_model_revisio (... 10 chars omitted)
                    child 0, remote_path: string
                    child 1, source_path: string
                    child 2, bytes: int64
                    child 3, sha256: string
                    child 4, related_model_revision: string
              to
              {'schema': Value('string'), 'files': List({'remote_path': Value('string'), 'source_path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string'), 'related_model_revision': Value('string')})}
              because column names don't match

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Aster Live Transformer Archive

This public dataset repository stores immutable historical and recovery artifacts for the Aster live transformer project.

The runnable current checkpoint is published separately at manus4oHER/aster-live-transformer. Files here are archival payloads, not a claim that a larger model checkpoint has been trained.

Archive policy

  • Large payloads are uploaded from their existing packed form rather than expanding hundreds of thousands of small files.
  • Each tranche receives a manifest containing the local relative path, byte length, and SHA-256 digest.
  • Local source artifacts are eligible for removal only after every required remote object and digest has been verified.
  • The active signed chain and the packs required for exact local restart are not removed by archival migration.

Initial tranche

The first tranche contains the packed historical worker sources, packed peer metadata, and packed peer-unique-blob preservation artifacts originally retained during the C-to-D relocation.

  • Payload revision: 4c2e1e369295bfb77618a5d03cf331a9fa93c631
  • Files: 29
  • Exact bytes: 111,754,141,106 (104.079 GiB)
  • Manifest: packed-history-manifest.json
  • Public verification: all 29 paths, byte lengths, and SHA-256 identities passed at the immutable payload revision. LFS objects were checked against their Hub SHA-256 object IDs; regular Git objects were downloaded anonymously and rehashed.

This tranche is historical recovery material. It does not replace the separate live signed chain or constitute a larger trained checkpoint.

Legacy tree tranche

The original 145,697-file historical snapshot was packed without compression into a single tar so it can be recovered without depending on hundreds of thousands of separate Hub objects.

  • Payload revision: 1bd964916861f4933b94a7e329ca9047a88a6eb0
  • Archive: legacy/aster_live_chain_run5-head-0c95461d.tar
  • Archive bytes: 12,468,983,808 (11.613 GiB)
  • Archive SHA-256: 13c202aa1f8a5ac5cb9686611d01bbf57dbd19626ad64cfe3daf5a564bdd6726
  • Members: 146,380 total; 145,697 regular files; 683 directories; zero other member types
  • Regular-file payload bytes: 12,392,203,153
  • Manifest: legacy/legacy-history-manifest.json
  • Safety check: zero absolute paths, parent-traversal paths, or members outside aster_live_chain_run5-head-0c95461d/
  • Public verification: Hub-reported LFS size and SHA-256 match the complete local tar; the manifest was downloaded anonymously and matched byte-for-byte.
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