Datasets:
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
version: string
outcomes: list<item: struct<outcome_id: string, label: string, order: int64, definition: string, detection_sta (... 60 chars omitted)
child 0, item: struct<outcome_id: string, label: string, order: int64, definition: string, detection_stage: string, (... 48 chars omitted)
child 0, outcome_id: string
child 1, label: string
child 2, order: int64
child 3, definition: string
child 4, detection_stage: string
child 5, failure_class: string
child 6, example_case_id: string
definition: string
label: string
order: int64
detection_stage: string
example_case_id: string
failure_class: string
outcome_id: string
to
{'outcome_id': Value('string'), 'label': Value('string'), 'order': Value('int64'), 'definition': Value('string'), 'detection_stage': Value('string'), 'failure_class': Value('string'), 'example_case_id': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
version: string
outcomes: list<item: struct<outcome_id: string, label: string, order: int64, definition: string, detection_sta (... 60 chars omitted)
child 0, item: struct<outcome_id: string, label: string, order: int64, definition: string, detection_stage: string, (... 48 chars omitted)
child 0, outcome_id: string
child 1, label: string
child 2, order: int64
child 3, definition: string
child 4, detection_stage: string
child 5, failure_class: string
child 6, example_case_id: string
definition: string
label: string
order: int64
detection_stage: string
example_case_id: string
failure_class: string
outcome_id: string
to
{'outcome_id': Value('string'), 'label': Value('string'), 'order': Value('int64'), 'definition': Value('string'), 'detection_stage': Value('string'), 'failure_class': Value('string'), 'example_case_id': 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.
Dali Verification Taxonomy
Five verification outcomes used by Dali to classify legal AI citation failures.
Citation failures are not binary. Link checkers return valid or broken. Legal AI failures require classification that separates what broke from why it broke.
Outcomes
| ID | Label | Detection stage |
|---|---|---|
| verified | Verified | existence_and_support |
| authority_not_found | Authority Not Found | existence |
| proposition_unsupported | Proposition Unsupported | support |
| source_trail_missing | Source Trail Missing | evidence_preservation |
| unverifiable | Unverifiable | evidence_preservation |
Files
taxonomy.json— full taxonomy documentoutcomes.jsonl— one row per outcome for programmatic use
Engineering note
- Outcomes 2 and 3 require different detection pipelines
- Outcomes 4 and 5 are evidence preservation failures, not model failures
- Outcome 1 still requires a sealed bundle — correctness without provenance is not defensible
Related resources
- Essay: yenklabs.com/notes/dali-five-verification-outcomes
- Failure database: huggingface.co/datasets/yenklabs/legal-ai-failure-database
Citation
@dataset{yenklabs_dali_verification_taxonomy_2026,
title={Dali Verification Taxonomy},
author={YenkLabs},
year={2026},
url={https://huggingface.co/datasets/yenklabs/dali-verification-taxonomy}
}
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