The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
document: string
source: string
intro: list<item: string>
child 0, item: string
parts: list<item: struct<title: string, paragraphs: list<item: string>>>
child 0, item: struct<title: string, paragraphs: list<item: string>>
child 0, title: string
child 1, paragraphs: list<item: string>
child 0, item: string
entries: list<item: struct<number: int64, title: string, part: string, paragraphs: list<item: string>, html: (... 34 chars omitted)
child 0, item: struct<number: int64, title: string, part: string, paragraphs: list<item: string>, html: list<item: (... 22 chars omitted)
child 0, number: int64
child 1, title: string
child 2, part: string
child 3, paragraphs: list<item: string>
child 0, item: string
child 4, html: list<item: string>
child 0, item: string
child 5, text: string
sections: list<item: struct<title: string, part: string, paragraphs: list<item: string>>>
child 0, item: struct<title: string, part: string, paragraphs: list<item: string>>
child 0, title: string
child 1, part: string
child 2, paragraphs: list<item: string>
child 0, item: string
part: string
title: string
number: int64
text: string
to
{'document': Value('string'), 'number': Value('int64'), 'title': Value('string'), 'part': Value('string'), 'text': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
document: string
source: string
intro: list<item: string>
child 0, item: string
parts: list<item: struct<title: string, paragraphs: list<item: string>>>
child 0, item: struct<title: string, paragraphs: list<item: string>>
child 0, title: string
child 1, paragraphs: list<item: string>
child 0, item: string
entries: list<item: struct<number: int64, title: string, part: string, paragraphs: list<item: string>, html: (... 34 chars omitted)
child 0, item: struct<number: int64, title: string, part: string, paragraphs: list<item: string>, html: list<item: (... 22 chars omitted)
child 0, number: int64
child 1, title: string
child 2, part: string
child 3, paragraphs: list<item: string>
child 0, item: string
child 4, html: list<item: string>
child 0, item: string
child 5, text: string
sections: list<item: struct<title: string, part: string, paragraphs: list<item: string>>>
child 0, item: struct<title: string, part: string, paragraphs: list<item: string>>
child 0, title: string
child 1, part: string
child 2, paragraphs: list<item: string>
child 0, item: string
part: string
title: string
number: int64
text: string
to
{'document': Value('string'), 'number': Value('int64'), 'title': Value('string'), 'part': Value('string'), 'text': 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.
Faults and Guards
Faults is the catalogue of failure modes a language model commits doing measurement work. Guards is the set of procedures built against them. Published by Heuremen LLC as PDFs at https://heuremen.org/faults.pdf and https://heuremen.org/guards.pdf.
entries.jsonl has one row per fault or guard: document (faults or guards), number, title, part (the family or part it sits in), and text, exactly as published. faults.json and guards.json hold the whole documents with their introductions and sections. The numbers are stable identifiers and do not run in family order.
The Python package that loads this text into prompts, function-calling schemas and an MCP server is at https://github.com/Heuremen-LLC/faultsguards. It generates this data from the published sources and tests that it does.
Terms
Free to download, read, run and cite with attribution (Heuremen LLC, https://heuremen.org). Use inside a prompt, a tool call, a retrieval step or a review at the time a model answers is permitted. Text and data mining, and use of this text to train, fine-tune or build AI models, are not permitted. This is an express reservation of rights. See LICENSE.txt and https://indahl.ai/terms#ai-training.
- Downloads last month
- 19