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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
corpus_version: string
distribution: struct<github: string, hf_hub: string, worm_bucket: string, zenodo: string>
  child 0, github: string
  child 1, hf_hub: string
  child 2, worm_bucket: string
  child 3, zenodo: string
exclusion_rule_hash: string
hardening_policy_hash: string
license_inventory_hash: string
policy_hash: string
schema_version: string
tiers: list<item: struct<artifact_id: string, artifact_version: string, files: list<item: struct<bytes: int (... 392 chars omitted)
  child 0, item: struct<artifact_id: string, artifact_version: string, files: list<item: struct<bytes: int64, path: s (... 380 chars omitted)
      child 0, artifact_id: string
      child 1, artifact_version: string
      child 2, files: list<item: struct<bytes: int64, path: string, sha256: string>>
          child 0, item: struct<bytes: int64, path: string, sha256: string>
              child 0, bytes: int64
              child 1, path: string
              child 2, sha256: string
      child 3, inputs: struct<code_commit: string, corpus_version: string, license_inventory_hash: string, ruleset_version: (... 246 chars omitted)
          child 0, code_commit: string
          child 1, corpus_version: string
          child 2, license_inventory_hash: string
          child 3, ruleset_version: string
          child 4, seeds: struct<>
          child 5, source_hashes: struct<data/landing/swe-bench-verified/v1/raw/0.parquet: string, data/landing/swe-smith-tasks/raw/tr (... 80 chars omitted)
              child 0, data/landing/swe-bench-verified/v1/raw/0.parquet: string
              child 1, data/landing/swe-smith-tasks/raw/train-0.parquet: string
              child 2, data/landing/swe-smith-tasks/raw/train-1.parquet: string
          child 6, store_snapshot: string
kept: int64
candidates: int64
header_caveat: string
reject_rate: double
by_reason: struct<f2p-infra-config: int64, license:gpl-2-0: int64, license:gpl-3-0: int64, license:noassertion: (... 55 chars omitted)
  child 0, f2p-infra-config: int64
  child 1, license:gpl-2-0: int64
  child 2, license:gpl-3-0: int64
  child 3, license:noassertion: int64
  child 4, license:unknown: int64
  child 5, test-only-patch: int64
rejected: int64
criteria: string
floor: struct<caveat: string, in_band: bool, kept: int64, rung: string>
  child 0, caveat: string
  child 1, in_band: bool
  child 2, kept: int64
  child 3, rung: string
to
{'by_reason': {'f2p-infra-config': Value('int64'), 'license:gpl-2-0': Value('int64'), 'license:gpl-3-0': Value('int64'), 'license:noassertion': Value('int64'), 'license:unknown': Value('int64'), 'test-only-patch': Value('int64')}, 'candidates': Value('int64'), 'criteria': Value('string'), 'floor': {'caveat': Value('string'), 'in_band': Value('bool'), 'kept': Value('int64'), 'rung': Value('string')}, 'header_caveat': Value('string'), 'kept': Value('int64'), 'reject_rate': Value('float64'), 'rejected': Value('int64')}
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
              corpus_version: string
              distribution: struct<github: string, hf_hub: string, worm_bucket: string, zenodo: string>
                child 0, github: string
                child 1, hf_hub: string
                child 2, worm_bucket: string
                child 3, zenodo: string
              exclusion_rule_hash: string
              hardening_policy_hash: string
              license_inventory_hash: string
              policy_hash: string
              schema_version: string
              tiers: list<item: struct<artifact_id: string, artifact_version: string, files: list<item: struct<bytes: int (... 392 chars omitted)
                child 0, item: struct<artifact_id: string, artifact_version: string, files: list<item: struct<bytes: int64, path: s (... 380 chars omitted)
                    child 0, artifact_id: string
                    child 1, artifact_version: string
                    child 2, files: list<item: struct<bytes: int64, path: string, sha256: string>>
                        child 0, item: struct<bytes: int64, path: string, sha256: string>
                            child 0, bytes: int64
                            child 1, path: string
                            child 2, sha256: string
                    child 3, inputs: struct<code_commit: string, corpus_version: string, license_inventory_hash: string, ruleset_version: (... 246 chars omitted)
                        child 0, code_commit: string
                        child 1, corpus_version: string
                        child 2, license_inventory_hash: string
                        child 3, ruleset_version: string
                        child 4, seeds: struct<>
                        child 5, source_hashes: struct<data/landing/swe-bench-verified/v1/raw/0.parquet: string, data/landing/swe-smith-tasks/raw/tr (... 80 chars omitted)
                            child 0, data/landing/swe-bench-verified/v1/raw/0.parquet: string
                            child 1, data/landing/swe-smith-tasks/raw/train-0.parquet: string
                            child 2, data/landing/swe-smith-tasks/raw/train-1.parquet: string
                        child 6, store_snapshot: string
              kept: int64
              candidates: int64
              header_caveat: string
              reject_rate: double
              by_reason: struct<f2p-infra-config: int64, license:gpl-2-0: int64, license:gpl-3-0: int64, license:noassertion: (... 55 chars omitted)
                child 0, f2p-infra-config: int64
                child 1, license:gpl-2-0: int64
                child 2, license:gpl-3-0: int64
                child 3, license:noassertion: int64
                child 4, license:unknown: int64
                child 5, test-only-patch: int64
              rejected: int64
              criteria: string
              floor: struct<caveat: string, in_band: bool, kept: int64, rung: string>
                child 0, caveat: string
                child 1, in_band: bool
                child 2, kept: int64
                child 3, rung: string
              to
              {'by_reason': {'f2p-infra-config': Value('int64'), 'license:gpl-2-0': Value('int64'), 'license:gpl-3-0': Value('int64'), 'license:noassertion': Value('int64'), 'license:unknown': Value('int64'), 'test-only-patch': Value('int64')}, 'candidates': Value('int64'), 'criteria': Value('string'), 'floor': {'caveat': Value('string'), 'in_band': Value('bool'), 'kept': Value('int64'), 'rung': Value('string')}, 'header_caveat': Value('string'), 'kept': Value('int64'), 'reject_rate': Value('float64'), 'rejected': Value('int64')}
              because column names don't match

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Latent Imagination — signed release mirrors

Packet Content
probe-measurement-2026-08-05/ Epic-3 probe verdict packet (branch-iii)
corpus-release-v0/ Clean Tier v0 (7 166 items) + corpus-release manifest

Chaque paquet est chaîné de signature (manifest avec code_commit + ancre OTS enregistrée). Le WORM reste la référence custodiale ; ce dataset est le miroir public. Source : https://github.com/Denis-hamon/latent-imagination

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