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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
format: string
repo_id: string
source_name: string
source_bytes: int64
source_sha256: string
parts: list<item: struct<index: int64, name: string, plaintext_offset: int64, plaintext_bytes: int64, plain (... 61 chars omitted)
  child 0, item: struct<index: int64, name: string, plaintext_offset: int64, plaintext_bytes: int64, plaintext_sha256 (... 49 chars omitted)
      child 0, index: int64
      child 1, name: string
      child 2, plaintext_offset: int64
      child 3, plaintext_bytes: int64
      child 4, plaintext_sha256: string
      child 5, encrypted_bytes: int64
      child 6, sha256: string
complete: bool
remote_part_sha256_verified: bool
completed_at: double
encrypted_parts: int64
to
{'complete': Value('bool'), 'repo_id': Value('string'), 'encrypted_parts': Value('int64'), 'remote_part_sha256_verified': Value('bool'), 'source_bytes': Value('int64'), 'source_sha256': Value('string'), 'completed_at': 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
              format: string
              repo_id: string
              source_name: string
              source_bytes: int64
              source_sha256: string
              parts: list<item: struct<index: int64, name: string, plaintext_offset: int64, plaintext_bytes: int64, plain (... 61 chars omitted)
                child 0, item: struct<index: int64, name: string, plaintext_offset: int64, plaintext_bytes: int64, plaintext_sha256 (... 49 chars omitted)
                    child 0, index: int64
                    child 1, name: string
                    child 2, plaintext_offset: int64
                    child 3, plaintext_bytes: int64
                    child 4, plaintext_sha256: string
                    child 5, encrypted_bytes: int64
                    child 6, sha256: string
              complete: bool
              remote_part_sha256_verified: bool
              completed_at: double
              encrypted_parts: int64
              to
              {'complete': Value('bool'), 'repo_id': Value('string'), 'encrypted_parts': Value('int64'), 'remote_part_sha256_verified': Value('bool'), 'source_bytes': Value('int64'), 'source_sha256': Value('string'), 'completed_at': Value('float64')}
              because column names don't match

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Temporary encrypted project transfer

Current variant: official model weights omitted. This replaces the discontinued 449.8 GB transfer attempt. This is an encrypted private research-project migration, not a public benchmark release. Only ciphertext and restore utilities are uploaded; the decryption key is transferred separately.

  • Original archive: multiturn-vqa-migration-20261109-nomodels.tar.zst
  • Archive bytes: 73715660886 (~73.7 GB).
  • SHA256: 03a5dddfb0364c60549fb4d4203b9e247447552de844af7c9c30284cad358781
  • Encrypted parts: 35 (2 GiB of plaintext per full part).
  • 82 publisher-matched weight files are omitted; pinned official sources and a weight-download utility are inside the archive. Model configuration/code and all research artifacts are retained.

Do not treat the transfer as complete until COMPLETE.json exists and names the matching source archive SHA256 above. See DOWNLOAD.txt for download and decryption, and RESTORE_ENVIRONMENT.txt for the required Python-base installation.

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