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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
dataset_pin: struct<benchmark_family: string, dataset: string, dataset_content_hash: string, dataset_version_id:  (... 176 chars omitted)
  child 0, benchmark_family: string
  child 1, dataset: string
  child 2, dataset_content_hash: string
  child 3, dataset_version_id: string
  child 4, frozen_at: string
  child 5, note: string
  child 6, package_version: string
  child 7, revision: int64
  child 8, source_url: string
  child 9, task_count: int64
  child 10, task_listing_sha256: string
  child 11, task_listing_url: string
omitted: list<item: string>
  child 0, item: string
scope: string
source_terms: string
task_license: string
task_license_copy: struct<file: string, retrieved_date: timestamp[s], sha256: string, source_url: string>
  child 0, file: string
  child 1, retrieved_date: timestamp[s]
  child 2, sha256: string
  child 3, source_url: string
task_source: string
trajectory_license: string
trajectory_source: string
source_records: int64
scan: struct<credential_patterns_checked: list<item: string>, known_local_credentials_checked: bool, publi (... 323 chars omitted)
  child 0, credential_patterns_checked: list<item: string>
      child 0, item: string
  child 1, known_local_credentials_checked: bool
  child 2, public_benchmark_fixture_exceptions: list<item: struct<name: string, source: string, source_sha256: string, value_sha256: string>>
      child 0, item: struct<name: string, source: string, source_sha256: string, value_sha256: string>
          child 0, name: stri
...
6: string> (... 1 chars omitted)
  child 0, item: struct<bundle: string, bytes: int64, path: string, sha256: string, source_sha256: string>
      child 0, bundle: string
      child 1, bytes: int64
      child 2, path: string
      child 3, sha256: string
      child 4, source_sha256: string
archive_prefix: string
archives: struct<metadata.tar.gz: struct<bytes: int64, file_count: int64, sha256: string, uncompressed_bytes:  (... 202 chars omitted)
  child 0, metadata.tar.gz: struct<bytes: int64, file_count: int64, sha256: string, uncompressed_bytes: int64>
      child 0, bytes: int64
      child 1, file_count: int64
      child 2, sha256: string
      child 3, uncompressed_bytes: int64
  child 1, pool.tar.gz: struct<bytes: int64, file_count: int64, sha256: string, uncompressed_bytes: int64>
      child 0, bytes: int64
      child 1, file_count: int64
      child 2, sha256: string
      child 3, uncompressed_bytes: int64
  child 2, tasks.tar.gz: struct<bytes: int64, file_count: int64, sha256: string, uncompressed_bytes: int64>
      child 0, bytes: int64
      child 1, file_count: int64
      child 2, sha256: string
      child 3, uncompressed_bytes: int64
original_protocol_sha256: struct<baseline_protocol.json: string, protocol.json: string>
  child 0, baseline_protocol.json: string
  child 1, protocol.json: string
confirmed_unavailable_bodies: int64
dataset_repo: string
split_sha256: string
dataset_subdirectory: string
test_task_ids: list<item: string>
  child 0, item: string
to
{'archive_prefix': Value('string'), 'archives': {'metadata.tar.gz': {'bytes': Value('int64'), 'file_count': Value('int64'), 'sha256': Value('string'), 'uncompressed_bytes': Value('int64')}, 'pool.tar.gz': {'bytes': Value('int64'), 'file_count': Value('int64'), 'sha256': Value('string'), 'uncompressed_bytes': Value('int64')}, 'tasks.tar.gz': {'bytes': Value('int64'), 'file_count': Value('int64'), 'sha256': Value('string'), 'uncompressed_bytes': Value('int64')}}, 'benchmark': Value('string'), 'confirmed_unavailable_bodies': Value('int64'), 'dataset_repo': Value('string'), 'dataset_subdirectory': Value('string'), 'files': List({'bundle': Value('string'), 'bytes': Value('int64'), 'path': Value('string'), 'sha256': Value('string'), 'source_sha256': Value('string')}), 'original_protocol_sha256': {'baseline_protocol.json': Value('string'), 'protocol.json': Value('string')}, 'scan': {'credential_patterns_checked': List(Value('string')), 'known_local_credentials_checked': Value('bool'), 'public_benchmark_fixture_exceptions': List({'name': Value('string'), 'source': Value('string'), 'source_sha256': Value('string'), 'value_sha256': Value('string')}), 'replacement_counts': {'credential_assignment': Value('int64'), 'github_token': Value('int64'), 'google_api_key': Value('int64'), 'huggingface_token': Value('int64'), 'private_key': Value('int64')}, 'unexpected_credential_patterns_remaining': Value('int64')}, 'schema_version': Value('int64'), 'source_records': Value('int64'), 'split_sha256': Value('string'), 'supplementary_files': {'README.md': {'bytes': Value('int64'), 'sha256': Value('string')}, 'TERMINAL_BENCH_LICENSE': {'bytes': Value('int64'), 'sha256': Value('string')}, 'provenance.json': {'bytes': Value('int64'), 'sha256': Value('string')}, 'redactions.json': {'bytes': Value('int64'), 'sha256': Value('string')}, 'task_split.csv': {'bytes': Value('int64'), 'sha256': Value('string')}, 'task_split.json': {'bytes': Value('int64'), 'sha256': Value('string')}}, 'test_task_ids': List(Value('string')), 'training_task_ids': List(Value('string')), 'trajectory_bodies': 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
              dataset_pin: struct<benchmark_family: string, dataset: string, dataset_content_hash: string, dataset_version_id:  (... 176 chars omitted)
                child 0, benchmark_family: string
                child 1, dataset: string
                child 2, dataset_content_hash: string
                child 3, dataset_version_id: string
                child 4, frozen_at: string
                child 5, note: string
                child 6, package_version: string
                child 7, revision: int64
                child 8, source_url: string
                child 9, task_count: int64
                child 10, task_listing_sha256: string
                child 11, task_listing_url: string
              omitted: list<item: string>
                child 0, item: string
              scope: string
              source_terms: string
              task_license: string
              task_license_copy: struct<file: string, retrieved_date: timestamp[s], sha256: string, source_url: string>
                child 0, file: string
                child 1, retrieved_date: timestamp[s]
                child 2, sha256: string
                child 3, source_url: string
              task_source: string
              trajectory_license: string
              trajectory_source: string
              source_records: int64
              scan: struct<credential_patterns_checked: list<item: string>, known_local_credentials_checked: bool, publi (... 323 chars omitted)
                child 0, credential_patterns_checked: list<item: string>
                    child 0, item: string
                child 1, known_local_credentials_checked: bool
                child 2, public_benchmark_fixture_exceptions: list<item: struct<name: string, source: string, source_sha256: string, value_sha256: string>>
                    child 0, item: struct<name: string, source: string, source_sha256: string, value_sha256: string>
                        child 0, name: stri
              ...
              6: string> (... 1 chars omitted)
                child 0, item: struct<bundle: string, bytes: int64, path: string, sha256: string, source_sha256: string>
                    child 0, bundle: string
                    child 1, bytes: int64
                    child 2, path: string
                    child 3, sha256: string
                    child 4, source_sha256: string
              archive_prefix: string
              archives: struct<metadata.tar.gz: struct<bytes: int64, file_count: int64, sha256: string, uncompressed_bytes:  (... 202 chars omitted)
                child 0, metadata.tar.gz: struct<bytes: int64, file_count: int64, sha256: string, uncompressed_bytes: int64>
                    child 0, bytes: int64
                    child 1, file_count: int64
                    child 2, sha256: string
                    child 3, uncompressed_bytes: int64
                child 1, pool.tar.gz: struct<bytes: int64, file_count: int64, sha256: string, uncompressed_bytes: int64>
                    child 0, bytes: int64
                    child 1, file_count: int64
                    child 2, sha256: string
                    child 3, uncompressed_bytes: int64
                child 2, tasks.tar.gz: struct<bytes: int64, file_count: int64, sha256: string, uncompressed_bytes: int64>
                    child 0, bytes: int64
                    child 1, file_count: int64
                    child 2, sha256: string
                    child 3, uncompressed_bytes: int64
              original_protocol_sha256: struct<baseline_protocol.json: string, protocol.json: string>
                child 0, baseline_protocol.json: string
                child 1, protocol.json: string
              confirmed_unavailable_bodies: int64
              dataset_repo: string
              split_sha256: string
              dataset_subdirectory: string
              test_task_ids: list<item: string>
                child 0, item: string
              to
              {'archive_prefix': Value('string'), 'archives': {'metadata.tar.gz': {'bytes': Value('int64'), 'file_count': Value('int64'), 'sha256': Value('string'), 'uncompressed_bytes': Value('int64')}, 'pool.tar.gz': {'bytes': Value('int64'), 'file_count': Value('int64'), 'sha256': Value('string'), 'uncompressed_bytes': Value('int64')}, 'tasks.tar.gz': {'bytes': Value('int64'), 'file_count': Value('int64'), 'sha256': Value('string'), 'uncompressed_bytes': Value('int64')}}, 'benchmark': Value('string'), 'confirmed_unavailable_bodies': Value('int64'), 'dataset_repo': Value('string'), 'dataset_subdirectory': Value('string'), 'files': List({'bundle': Value('string'), 'bytes': Value('int64'), 'path': Value('string'), 'sha256': Value('string'), 'source_sha256': Value('string')}), 'original_protocol_sha256': {'baseline_protocol.json': Value('string'), 'protocol.json': Value('string')}, 'scan': {'credential_patterns_checked': List(Value('string')), 'known_local_credentials_checked': Value('bool'), 'public_benchmark_fixture_exceptions': List({'name': Value('string'), 'source': Value('string'), 'source_sha256': Value('string'), 'value_sha256': Value('string')}), 'replacement_counts': {'credential_assignment': Value('int64'), 'github_token': Value('int64'), 'google_api_key': Value('int64'), 'huggingface_token': Value('int64'), 'private_key': Value('int64')}, 'unexpected_credential_patterns_remaining': Value('int64')}, 'schema_version': Value('int64'), 'source_records': Value('int64'), 'split_sha256': Value('string'), 'supplementary_files': {'README.md': {'bytes': Value('int64'), 'sha256': Value('string')}, 'TERMINAL_BENCH_LICENSE': {'bytes': Value('int64'), 'sha256': Value('string')}, 'provenance.json': {'bytes': Value('int64'), 'sha256': Value('string')}, 'redactions.json': {'bytes': Value('int64'), 'sha256': Value('string')}, 'task_split.csv': {'bytes': Value('int64'), 'sha256': Value('string')}, 'task_split.json': {'bytes': Value('int64'), 'sha256': Value('string')}}, 'test_task_ids': List(Value('string')), 'training_task_ids': List(Value('string')), 'trajectory_bodies': Value('int64')}
              because column names don't match

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Memory DCI

Two benchmark datasets, organized as parallel folders. Code and runnable instructions live in FlyPig23/Memory_DCI.

Benchmark Frozen split Contents Directory
WildClawBench 36 training / 24 test 432 training trajectories, 381 images, task inputs, 72 V1/V1.1/V5 historical results wildclaw_bench/
TerminalBench 2.1 53 training / 36 test 89 official task packages, 5,785 training trajectory bodies, exact task order and provenance terminal_bench_2_1/

Each folder contains its own README, manifests, task split, sources and redaction records. These are distinct partitions; no tasks are resampled by downloading them. Both downloaders pin a publication and verify archive/per-file SHA256.

python3 -m experiment.benchmarks.wildclaw_bench.scripts.download_data --include-evidence
python3 -m experiment.benchmarks.terminal_bench_2_1.scripts.download_data

The 2026-10-05 layout migration moved the original root WildClaw files into wildclaw_bench/ and changed their restored prefix to experiment/benchmarks/wildclaw_bench/. Task contents, task split/order, trajectory bodies, existing results and scores did not change. Three operational WildClaw manifests have updated file paths; original hashes and mappings are recorded. The TerminalBench archives are unchanged. The previous root layout remains available in commit b31c851fc4c09108ace8fbdf80dc5c1b1b0c396d.

No credentials, active experiment directories, private runtime environments or retired experiment data are published. Earlier redactions remain documented. Source-specific licenses and third-party rights are described in each folder; no blanket license is asserted over all embedded assets or Hub trajectories.

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