The dataset viewer is not available for this split.
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 matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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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