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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
id: string
text: string
label: string
rationale: string
difficulty: string
edge_case_axes: list<item: string>
child 0, item: string
source_id: string
source_name: string
source_url: string
synthetic: bool
generator_model: string
license_notes: string
created_at: string
review_status: string
description: string
title: string
licenses: list<item: struct<name: string>>
child 0, item: struct<name: string>
child 0, name: string
subtitle: string
keywords: list<item: string>
child 0, item: string
to
{'title': Value('string'), 'id': Value('string'), 'licenses': List({'name': Value('string')}), 'subtitle': Value('string'), 'description': Value('string'), 'keywords': List(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 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, 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 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, 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 299, 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 128, 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 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
id: string
text: string
label: string
rationale: string
difficulty: string
edge_case_axes: list<item: string>
child 0, item: string
source_id: string
source_name: string
source_url: string
synthetic: bool
generator_model: string
license_notes: string
created_at: string
review_status: string
description: string
title: string
licenses: list<item: struct<name: string>>
child 0, item: struct<name: string>
child 0, name: string
subtitle: string
keywords: list<item: string>
child 0, item: string
to
{'title': Value('string'), 'id': Value('string'), 'licenses': List({'name': Value('string')}), 'subtitle': Value('string'), 'description': Value('string'), 'keywords': List(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_tort_edgecases_synthetic — Free Sample
Synthetic niche dataset for clause_or_fact_pattern_classification in the legal domain.
Release tier
This is the free sample release. It intentionally contains only a small subset of the generated records so buyers can inspect schema, quality, and labels before requesting full access.
Paid full access: https://huggingface.co/datasets/651shadow/legal-tort-edgecases-premium
Size
Records in this release: 8
Intended use
- ML edge-case training and evaluation
- Robustness tests
- Prompt/model regression tests
Not intended for
- Professional legal, medical, financial, or other high-stakes decisions without domain expert review
- Treating synthetic labels as verified ground truth
- Re-identification or claims about real people
Generation method
Seeds were collected from a permitted public/API source, then rewritten into fictional synthetic examples. Source excerpts are used only as inspiration and are not intended to be redistributed as source material.
Provenance fields
Each record includes source_id, source_name, source_url, generator_model, synthetic, created_at, review_status, and license_notes.
License
CC-BY-4.0
Disclaimer
Synthetic examples for ML evaluation/training only; not legal advice.
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