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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
group: string
source_root: string
archive: string
files: int64
raw_bytes: int64
compressed_bytes: int64
sha256: string
verified: bool
verification: string
verification_seconds: double
compression: string
members: list<item: struct<path: string, bytes: int64, sha256: string>>
  child 0, item: struct<path: string, bytes: int64, sha256: string>
      child 0, path: string
      child 1, bytes: int64
      child 2, sha256: string
seconds: double
to
{'archive': Value('string'), 'raw_bytes': Value('int64'), 'compressed_bytes': Value('int64'), 'sha256': Value('string'), 'verified': Value('bool'), 'seconds': Value('float64'), 'members': List({'path': Value('string'), 'bytes': Value('int64')})}
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
              group: string
              source_root: string
              archive: string
              files: int64
              raw_bytes: int64
              compressed_bytes: int64
              sha256: string
              verified: bool
              verification: string
              verification_seconds: double
              compression: string
              members: list<item: struct<path: string, bytes: int64, sha256: string>>
                child 0, item: struct<path: string, bytes: int64, sha256: string>
                    child 0, path: string
                    child 1, bytes: int64
                    child 2, sha256: string
              seconds: double
              to
              {'archive': Value('string'), 'raw_bytes': Value('int64'), 'compressed_bytes': Value('int64'), 'sha256': Value('string'), 'verified': Value('bool'), 'seconds': Value('float64'), 'members': List({'path': Value('string'), 'bytes': Value('int64')})}
              because column names don't match

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DVL paper structures

Lossless structure archives prepared on 2026-10-05. These contain stored Jacobian sketches, VJP structures, matrix-free representations, and vocabulary readouts used in the DVL project. They are numerical research artifacts rather than a tabular dataset.

The 10 archives total 59,890,049,555 compressed bytes (59.89 GB), from 70,559,382,040 source bytes.

Archive Compressed GB Contents
A31_all67.tar.zst 13.435 Historical Sketch-J cache for all 67 available models, including the paper selected48 subset and auxiliary caches.
B_vjp.tar.zst 11.299 Concept VJP directions and pullbacks; excludes intervention execution caches.
C_semantic_vjp.tar.zst 0.750 Semantic VJP structures.
C_matrixfree_hybrid.tar.zst 11.371 Matrix-free hybrid structures (basis_q and q_times_j).
FD_dense_small5.tar.zst 3.551 Dense vocabulary Jacobians for five smaller models.
FD_dense_large4.tar.zst 5.407 Dense vocabulary Jacobians for four larger models.
FD_vocab_small5.tar.zst 5.102 Derived vocabulary readouts for five smaller models.
FD_vocab_large4.tar.zst 8.783 Derived vocabulary readouts for four larger models.
A100_local_matrixfree3.tar.zst 0.192 Three historical A100 matrix-free blocks preserved as distinct variants.
DVL_storage_audit.tar.zst 0.000 Paper provenance audit, expected hashes, selected48 coverage, and restore instructions.

Completeness

The available historical A31 structures cover all 48 paper-selected models. Sixteen of the 21 expected paper B_vjp pullback files were found and matched their recorded SHA-256 hashes. Five A100_2 pullbacks are unavailable in this release: Llama-3.2-1B-Instruct, Qwen2.5-0.5B-Instruct, Qwen2.5-1.5B-Instruct, Qwen2.5-3B-Instruct, Qwen3-1.7B. Historical matrix-free blocks are preserved separately and do not replace those missing pullbacks.

Integrity and restoration

All archives passed full Zstandard decompression/checksum validation. SHA256SUMS records the compressed archive hashes. Per-file paths, sizes, and source SHA-256 hashes are embedded under __backup_manifest__/.

sha256sum -c SHA256SUMS
mkdir -p restored_metric
zstd -dc A31_all67.tar.zst | tar -xf - -C restored_metric

Remote archives preserve paths relative to the original metric directory. The audit archive contains provenance reports and detailed restoration notes. Source model weights are not included.

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