Dataset Viewer
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
canonical_replacement_state: struct<compatibility_adapter: string, generalizable_entry_count: int64, merge_mode: string, path: st (... 325 chars omitted)
child 0, compatibility_adapter: string
child 1, generalizable_entry_count: int64
child 2, merge_mode: string
child 3, path: string
child 4, size_bytes: int64
child 5, source_count: int64
child 6, source_paths: list<item: string>
child 0, item: string
child 7, source_records: list<item: struct<architecture: string, backend: string, cycles: int64, merge_weight: double, metric (... 100 chars omitted)
child 0, item: struct<architecture: string, backend: string, cycles: int64, merge_weight: double, metric_schema: st (... 88 chars omitted)
child 0, architecture: string
child 1, backend: string
child 2, cycles: int64
child 3, merge_weight: double
child 4, metric_schema: string
child 5, path: string
child 6, run_id: string
child 7, score: double
child 8, state_schema: string
child 9, status: string
child 8, total_merge_weight: double
canonical_source_state_paths: list<item: string>
child 0, item: string
canonical_source_statuses: list<item: string>
child 0, item: string
generated_at: timestamp[s]
runs: list<item: struct<cycles: int64, deprecated: bool, deprecation_reasons: list<item: string>, run_id: (... 81 chars omitted)
child 0, item: struct<cycles: int64, deprecated: bool, deprecation_reasons:
...
nonical_state: struct<compatibility_adapter: string, generalizable_entry_count: int64, merge_mode: string, relative (... 98 chars omitted)
child 0, compatibility_adapter: string
child 1, generalizable_entry_count: int64
child 2, merge_mode: string
child 3, relative_path: string
child 4, sha256: string
child 5, size_bytes: int64
child 6, source_count: int64
child 7, total_merge_weight: double
checkpoint_id: string
source_records: list<item: struct<architecture: string, backend: string, cycles: int64, merge_weight: double, metric (... 100 chars omitted)
child 0, item: struct<architecture: string, backend: string, cycles: int64, merge_weight: double, metric_schema: st (... 88 chars omitted)
child 0, architecture: string
child 1, backend: string
child 2, cycles: int64
child 3, merge_weight: double
child 4, metric_schema: string
child 5, path: string
child 6, run_id: string
child 7, score: double
child 8, state_schema: string
child 9, status: string
source_git_commit: string
deprecated_run_count: int64
reviewed_run_count: int64
files: list<item: struct<path: string, sha256: string, size_bytes: int64>>
child 0, item: struct<path: string, sha256: string, size_bytes: int64>
child 0, path: string
child 1, sha256: string
child 2, size_bytes: int64
repo_id: string
created_at_utc: string
source_repo_path: string
smoke_runs: list<item: string>
child 0, item: string
source_git_status: string
to
{'canonical_state': {'compatibility_adapter': Value('string'), 'generalizable_entry_count': Value('int64'), 'merge_mode': Value('string'), 'relative_path': Value('string'), 'sha256': Value('string'), 'size_bytes': Value('int64'), 'source_count': Value('int64'), 'total_merge_weight': Value('float64')}, 'checkpoint_id': Value('string'), 'created_at_utc': Value('string'), 'deprecated_run_count': Value('int64'), 'files': List({'path': Value('string'), 'sha256': Value('string'), 'size_bytes': Value('int64')}), 'repo_id': Value('string'), 'reviewed_run_count': Value('int64'), 'smoke_runs': List(Value('string')), 'source_git_commit': Value('string'), 'source_git_status': Value('string'), 'source_records': List({'architecture': Value('string'), 'backend': Value('string'), 'cycles': Value('int64'), 'merge_weight': Value('float64'), 'metric_schema': Value('string'), 'path': Value('string'), 'run_id': Value('string'), 'score': Value('float64'), 'state_schema': Value('string'), 'status': Value('string')}), 'source_repo_path': Value('string')}
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 478, 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
canonical_replacement_state: struct<compatibility_adapter: string, generalizable_entry_count: int64, merge_mode: string, path: st (... 325 chars omitted)
child 0, compatibility_adapter: string
child 1, generalizable_entry_count: int64
child 2, merge_mode: string
child 3, path: string
child 4, size_bytes: int64
child 5, source_count: int64
child 6, source_paths: list<item: string>
child 0, item: string
child 7, source_records: list<item: struct<architecture: string, backend: string, cycles: int64, merge_weight: double, metric (... 100 chars omitted)
child 0, item: struct<architecture: string, backend: string, cycles: int64, merge_weight: double, metric_schema: st (... 88 chars omitted)
child 0, architecture: string
child 1, backend: string
child 2, cycles: int64
child 3, merge_weight: double
child 4, metric_schema: string
child 5, path: string
child 6, run_id: string
child 7, score: double
child 8, state_schema: string
child 9, status: string
child 8, total_merge_weight: double
canonical_source_state_paths: list<item: string>
child 0, item: string
canonical_source_statuses: list<item: string>
child 0, item: string
generated_at: timestamp[s]
runs: list<item: struct<cycles: int64, deprecated: bool, deprecation_reasons: list<item: string>, run_id: (... 81 chars omitted)
child 0, item: struct<cycles: int64, deprecated: bool, deprecation_reasons:
...
nonical_state: struct<compatibility_adapter: string, generalizable_entry_count: int64, merge_mode: string, relative (... 98 chars omitted)
child 0, compatibility_adapter: string
child 1, generalizable_entry_count: int64
child 2, merge_mode: string
child 3, relative_path: string
child 4, sha256: string
child 5, size_bytes: int64
child 6, source_count: int64
child 7, total_merge_weight: double
checkpoint_id: string
source_records: list<item: struct<architecture: string, backend: string, cycles: int64, merge_weight: double, metric (... 100 chars omitted)
child 0, item: struct<architecture: string, backend: string, cycles: int64, merge_weight: double, metric_schema: st (... 88 chars omitted)
child 0, architecture: string
child 1, backend: string
child 2, cycles: int64
child 3, merge_weight: double
child 4, metric_schema: string
child 5, path: string
child 6, run_id: string
child 7, score: double
child 8, state_schema: string
child 9, status: string
source_git_commit: string
deprecated_run_count: int64
reviewed_run_count: int64
files: list<item: struct<path: string, sha256: string, size_bytes: int64>>
child 0, item: struct<path: string, sha256: string, size_bytes: int64>
child 0, path: string
child 1, sha256: string
child 2, size_bytes: int64
repo_id: string
created_at_utc: string
source_repo_path: string
smoke_runs: list<item: string>
child 0, item: string
source_git_status: string
to
{'canonical_state': {'compatibility_adapter': Value('string'), 'generalizable_entry_count': Value('int64'), 'merge_mode': Value('string'), 'relative_path': Value('string'), 'sha256': Value('string'), 'size_bytes': Value('int64'), 'source_count': Value('int64'), 'total_merge_weight': Value('float64')}, 'checkpoint_id': Value('string'), 'created_at_utc': Value('string'), 'deprecated_run_count': Value('int64'), 'files': List({'path': Value('string'), 'sha256': Value('string'), 'size_bytes': Value('int64')}), 'repo_id': Value('string'), 'reviewed_run_count': Value('int64'), 'smoke_runs': List(Value('string')), 'source_git_commit': Value('string'), 'source_git_status': Value('string'), 'source_records': List({'architecture': Value('string'), 'backend': Value('string'), 'cycles': Value('int64'), 'merge_weight': Value('float64'), 'metric_schema': Value('string'), 'path': Value('string'), 'run_id': Value('string'), 'score': Value('float64'), 'state_schema': Value('string'), 'status': Value('string')}), 'source_repo_path': Value('string')}
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.
Legal IR Autoencoder Checkpoints
This dataset stores checkpoint artifacts for the legal text -> formal logic IR autoencoder/Codex optimization loop.
Latest checkpoint in this upload: checkpoints/20260630T221836Z/.
Contents
state/legal-ir-autoencoder-canonical.state.json: canonical feature-level autoencoder warm-start state.reports/: weight review, deprecation manifest, and consensus feature manifests.scripts/review_autoencoder_weight_runs.py: script used to classify runs and build the canonical state.smoke/: summaries/logs from short local smoke tests proving default canonical warm-start loading.manifest.json: checksums, source run IDs, merge weights, and reproducibility metadata.
Canonical State
- Source runs merged:
10 - Reviewed runs:
24 - Deprecated runs:
14 - Merge mode:
weighted_union - Reusable entries:
1205336 - State SHA-256:
7236de26bd3d7f8414ffa04805f1b6e8a8849f9e0103cec6edb4985b911658be
The state is built through ModalAutoencoderTrainingState.load_json(path).generalizable_copy(), so it intentionally excludes sample-specific decoded embeddings, sample family logits, and applied TODO IDs.
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