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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
qid: string
reason: string
evidence: string
added: timestamp[s]
action_v03: string
to
{'qid': Value('string'), 'nugget_id': Value('string'), 'kind': Value('string'), 'pattern': Value('string'), 'required': Value('bool'), 'value': Value('timestamp[s]')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 764, in write_table
self.write_rows_on_file() # in case there are buffered rows to write first
~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
self._write_table(table)
~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._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
qid: string
reason: string
evidence: string
added: timestamp[s]
action_v03: string
to
{'qid': Value('string'), 'nugget_id': Value('string'), 'kind': Value('string'), 'pattern': Value('string'), 'required': Value('bool'), 'value': Value('timestamp[s]')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'evidence', 'reason', 'added', 'action_v03'}) and 5 missing columns ({'pattern', 'value', 'kind', 'required', 'nugget_id'}).
This happened while the json dataset builder was generating data using
hf://datasets/bartoszkobylinski1/pl-temporal/questions.json (at revision e285d6d72cd5a60fe081580cafc9915519c3327f), ['hf://datasets/bartoszkobylinski1/pl-temporal@e285d6d72cd5a60fe081580cafc9915519c3327f/nuggets.json', 'hf://datasets/bartoszkobylinski1/pl-temporal@e285d6d72cd5a60fe081580cafc9915519c3327f/quarantine.json', 'hf://datasets/bartoszkobylinski1/pl-temporal@e285d6d72cd5a60fe081580cafc9915519c3327f/questions.json'], ['hf://datasets/bartoszkobylinski1/pl-temporal@e285d6d72cd5a60fe081580cafc9915519c3327f/nuggets.json', 'hf://datasets/bartoszkobylinski1/pl-temporal@e285d6d72cd5a60fe081580cafc9915519c3327f/quarantine.json', 'hf://datasets/bartoszkobylinski1/pl-temporal@e285d6d72cd5a60fe081580cafc9915519c3327f/questions.json']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 781, in finalize
self.write_rows_on_file()
~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
self._write_table(table)
~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._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
qid: string
reason: string
evidence: string
added: timestamp[s]
action_v03: string
to
{'qid': Value('string'), 'nugget_id': Value('string'), 'kind': Value('string'), 'pattern': Value('string'), 'required': Value('bool'), 'value': Value('timestamp[s]')}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
qid string | nugget_id string | kind string | pattern string | required bool | value timestamp[us] |
|---|---|---|---|---|---|
A3v-DU-1964-93 | A3v-DU-1964-93-n0 | regex | \bNIE\b | true | null |
A2-DU-1974-141-2018-11-24 | A2-DU-1974-141-2018-11-24-n0 | regex | \b2018\b | true | null |
A2-DU-1974-141-2018-11-24 | A2-DU-1974-141-2018-11-24-n1 | regex | \b917\b | true | null |
A3v-DU-1960-168 | A3v-DU-1960-168-n0 | regex | \bNIE\b | true | null |
A1-DU-2004-535 | A1-DU-2004-535-n0 | exact | null | true | 2004-04-20T00:00:00 |
A1-DU-2000-1037 | A1-DU-2000-1037-n0 | exact | null | true | 2001-01-01T00:00:00 |
A2-DU-1997-553-2020-03-20 | A2-DU-1997-553-2020-03-20-n0 | regex | \b2019\b | true | null |
A2-DU-1997-553-2020-03-20 | A2-DU-1997-553-2020-03-20-n1 | regex | \b1950\b | true | null |
A3v-DU-1997-553 | A3v-DU-1997-553-n0 | regex | \bNIE\b | true | null |
A3v-DU-1997-555 | A3v-DU-1997-555-n0 | regex | \bNIE\b | true | null |
A4y-DU-1997-555 | A4y-DU-1997-555-n0 | regex | \bTAK\b | true | null |
A4y-DU-1964-296 | A4y-DU-1964-296-n0 | regex | \bTAK\b | true | null |
A3n-DU-1997-926 | A3n-DU-1997-926-n0 | regex | \bNIE\b | true | null |
A4y-DU-1997-926 | A4y-DU-1997-926-n0 | regex | \bTAK\b | true | null |
A1-DU-2001-1408 | A1-DU-2001-1408-n0 | exact | null | true | 2002-11-10T00:00:00 |
A1-DU-2005-1364 | A1-DU-2005-1364-n0 | exact | null | true | 2005-09-26T00:00:00 |
A3n-DU-2005-1364 | A3n-DU-2005-1364-n0 | regex | \bNIE\b | true | null |
A4n-DU-2005-1364 | A4n-DU-2005-1364-n0 | regex | \bNIE\b | true | null |
A4n-DU-2004-2782 | A4n-DU-2004-2782-n0 | regex | \bNIE\b | true | null |
A2-DU-2003-1590-2015-10-25 | A2-DU-2003-1590-2015-10-25-n0 | regex | \b2014\b | true | null |
A2-DU-2003-1590-2015-10-25 | A2-DU-2003-1590-2015-10-25-n1 | regex | \b424\b | true | null |
A4y-DU-2003-1590 | A4y-DU-2003-1590-n0 | regex | \bTAK\b | true | null |
A2-DU-2001-1198-2016-05-17 | A2-DU-2001-1198-2016-05-17-n0 | regex | \b2015\b | true | null |
A2-DU-2001-1198-2016-05-17 | A2-DU-2001-1198-2016-05-17-n1 | regex | \b2058\b | true | null |
A1-DU-2003-962 | A1-DU-2003-962-n0 | exact | null | true | 2003-06-28T00:00:00 |
A3n-DU-2008-902 | A3n-DU-2008-902-n0 | regex | \bNIE\b | true | null |
A4y-DU-2019-1403 | A4y-DU-2019-1403-n0 | regex | \bTAK\b | true | null |
A4n-DU-2024-1863 | A4n-DU-2024-1863-n0 | regex | \bNIE\b | true | null |
A1-DU-2007-328 | A1-DU-2007-328-n0 | exact | null | true | 2007-04-04T00:00:00 |
A3y-DU-2008-829 | A3y-DU-2008-829-n0 | regex | \bTAK\b | true | null |
A1-DU-2017-1133 | A1-DU-2017-1133-n0 | exact | null | true | 2017-07-13T00:00:00 |
A4y-DU-2010-530 | A4y-DU-2010-530-n0 | regex | \bTAK\b | true | null |
A1-DU-2006-1701 | A1-DU-2006-1701-n0 | exact | null | true | 2007-01-03T00:00:00 |
A3y-DU-2016-1203 | A3y-DU-2016-1203-n0 | regex | \bTAK\b | true | null |
A1-DU-2004-2784 | A1-DU-2004-2784-n0 | exact | null | true | 2005-01-01T00:00:00 |
A3y-DU-2015-1844 | A3y-DU-2015-1844-n0 | regex | \bTAK\b | true | null |
A4n-DU-2014-1198 | A4n-DU-2014-1198-n0 | regex | \bNIE\b | true | null |
A1-DU-2013-881 | A1-DU-2013-881-n0 | exact | null | true | 2013-08-17T00:00:00 |
A4y-DU-2001-537 | A4y-DU-2001-537-n0 | regex | \bTAK\b | true | null |
A3v-DU-2017-38 | A3v-DU-2017-38-n0 | regex | \bNIE\b | true | null |
A3n-DU-2021-2349 | A3n-DU-2021-2349-n0 | regex | \bNIE\b | true | null |
A1-DU-2004-624 | A1-DU-2004-624-n0 | exact | null | true | 2004-05-05T00:00:00 |
A4n-DU-2004-624 | A4n-DU-2004-624-n0 | regex | \bNIE\b | true | null |
A3v-DU-2015-1923 | A3v-DU-2015-1923-n0 | regex | \bNIE\b | true | null |
A1-DU-2021-904 | A1-DU-2021-904-n0 | exact | null | true | 2021-05-15T00:00:00 |
A4y-DU-2002-804 | A4y-DU-2002-804-n0 | regex | \bTAK\b | true | null |
A4n-DU-2002-804 | A4n-DU-2002-804-n0 | regex | \bNIE\b | true | null |
A2-DU-2001-353-2016-01-27 | A2-DU-2001-353-2016-01-27-n0 | regex | \b2015\b | true | null |
A2-DU-2001-353-2016-01-27 | A2-DU-2001-353-2016-01-27-n1 | regex | \b103\b | true | null |
A4y-DU-2001-353 | A4y-DU-2001-353-n0 | regex | \bTAK\b | true | null |
A4n-DU-2003-2050 | A4n-DU-2003-2050-n0 | regex | \bNIE\b | true | null |
A1-DU-2015-1830 | A1-DU-2015-1830-n0 | exact | null | true | 2016-01-01T00:00:00 |
A3y-DU-2015-1830 | A3y-DU-2015-1830-n0 | regex | \bTAK\b | true | null |
A4n-DU-2014-897 | A4n-DU-2014-897-n0 | regex | \bNIE\b | true | null |
A2-DU-2006-1539-2014-10-05 | A2-DU-2006-1539-2014-10-05-n0 | regex | \b2013\b | true | null |
A2-DU-2006-1539-2014-10-05 | A2-DU-2006-1539-2014-10-05-n1 | regex | \b144\b | true | null |
A4y-DU-2006-1539 | A4y-DU-2006-1539-n0 | regex | \bTAK\b | true | null |
A1-DU-2014-1682 | A1-DU-2014-1682-n0 | exact | null | true | 2015-03-01T00:00:00 |
A3y-DU-2008-1389 | A3y-DU-2008-1389-n0 | regex | \bTAK\b | true | null |
A2-DU-2010-1228-2017-05-14 | A2-DU-2010-1228-2017-05-14-n0 | regex | \b2016\b | true | null |
A2-DU-2010-1228-2017-05-14 | A2-DU-2010-1228-2017-05-14-n1 | regex | \b1167\b | true | null |
A3y-DU-2010-1228 | A3y-DU-2010-1228-n0 | regex | \bTAK\b | true | null |
A2-DU-2002-558-2015-12-29 | A2-DU-2002-558-2015-12-29-n0 | regex | \b2014\b | true | null |
A2-DU-2002-558-2015-12-29 | A2-DU-2002-558-2015-12-29-n1 | regex | \b333\b | true | null |
A1-DU-2006-874 | A1-DU-2006-874-n0 | exact | null | true | 2006-07-29T00:00:00 |
A3y-DU-2020-179 | A3y-DU-2020-179-n0 | regex | \bTAK\b | true | null |
A1-DU-2006-1533 | A1-DU-2006-1533-n0 | exact | null | true | 2006-12-06T00:00:00 |
A3y-DU-2021-41 | A3y-DU-2021-41-n0 | regex | \bTAK\b | true | null |
A1-DU-2012-1091 | A1-DU-2012-1091-n0 | exact | null | true | 2012-10-17T00:00:00 |
A3n-DU-2012-1091 | A3n-DU-2012-1091-n0 | regex | \bNIE\b | true | null |
A1-DU-2008-226 | A1-DU-2008-226-n0 | exact | null | true | 2008-03-22T00:00:00 |
A1-DU-2010-1129 | A1-DU-2010-1129-n0 | exact | null | true | 2010-09-25T00:00:00 |
A3n-DU-2022-1719 | A3n-DU-2022-1719-n0 | regex | \bNIE\b | true | null |
A1-DU-2011-202 | A1-DU-2011-202-n0 | exact | null | true | 2011-03-08T00:00:00 |
A1-DU-2015-1163 | A1-DU-2015-1163-n0 | exact | null | true | 2015-08-28T00:00:00 |
A3n-DU-2010-1459 | A3n-DU-2010-1459-n0 | regex | \bNIE\b | true | null |
A4y-DU-2009-740 | A4y-DU-2009-740-n0 | regex | \bTAK\b | true | null |
A4n-DU-2009-740 | A4n-DU-2009-740-n0 | regex | \bNIE\b | true | null |
A3v-DU-2016-780 | A3v-DU-2016-780-n0 | regex | \bNIE\b | true | null |
A1-DU-2015-892 | A1-DU-2015-892-n0 | exact | null | true | 2015-07-11T00:00:00 |
A3n-DU-2015-892 | A3n-DU-2015-892-n0 | regex | \bNIE\b | true | null |
A1-DU-2014-1071 | A1-DU-2014-1071-n0 | exact | null | true | 2014-08-26T00:00:00 |
A4n-DU-2005-1412 | A4n-DU-2005-1412-n0 | regex | \bNIE\b | true | null |
A4n-DU-2019-2294 | A4n-DU-2019-2294-n0 | regex | \bNIE\b | true | null |
A1-DU-2004-1963 | A1-DU-2004-1963-n0 | exact | null | true | 2004-10-01T00:00:00 |
A3v-DU-2023-556 | A3v-DU-2023-556-n0 | regex | \bNIE\b | true | null |
A4n-DU-2023-556 | A4n-DU-2023-556-n0 | regex | \bNIE\b | true | null |
A4y-DU-2002-1184 | A4y-DU-2002-1184-n0 | regex | \bTAK\b | true | null |
A3v-DU-2023-556 | null | null | null | null | null |
_CANARY_ | null | null | null | null | null |
A1-DU-2007-328 | null | null | null | null | null |
A1-DU-2001-1408 | null | null | null | null | null |
A1-DU-2004-535 | null | null | null | null | null |
A1-DU-2014-1682 | null | null | null | null | null |
A1-DU-2004-1963 | null | null | null | null | null |
A1-DU-2012-1091 | null | null | null | null | null |
A1-DU-2021-904 | null | null | null | null | null |
A1-DU-2013-881 | null | null | null | null | null |
A1-DU-2003-962 | null | null | null | null | null |
A1-DU-2008-226 | null | null | null | null | null |
End of preview.
PL-Temporal — Track A (Diagnostic Challenge Set v0.2)
A diagnostic challenge set for closed-book temporal QA over Polish statutes: which version of the law was in force on a given date, when did an act enter into force, which Dziennik Ustaw position is the current consolidated text. 80 questions across 64 acts (79 scored, 1 quarantined after human legal review), 4 question families, deterministic string-nugget scoring — no LLM-as-judge.
Canonical repository (scoring scripts, results, review protocol): https://github.com/bartoszkobylinski/pl-temporal
Files
| file | content |
|---|---|
questions.json |
80 questions + gold answers + ELI act identifiers + a _CANARY_ record |
nuggets.json |
scoring nuggets (exact / regex), one implementation of matching in the repo |
quarantine.json |
items excluded from scoring, with evidence |
Question families
| family | n | what it tests |
|---|---|---|
| A1 | 24 | commencement date of an act, derived from its commencement clause |
| A2 | 8 | which Dz.U. position is the consolidated text in force on a date |
| A3 | 24 | whether an act was in force on a given date (TAK/NIE) |
| A4 | 24 | whether an act was amended in a given period (TAK/NIE) |
v0.2 results (2026-08-14, 79 scored items; mean over valid draws)
Three metrics — no single leader without a utility function. Coverage: how often the model answers. Selective accuracy: how often it is right when it answers. End-to-end: usefulness when every question needs an answer.
| model | N valid | coverage | selective acc | end-to-end | abstained/draw |
|---|---|---|---|---|---|
| gpt-5.6-sol | 5 | 100% | 69.9% | 69.9% | 0 |
| claude-opus-5 | 5 | 85.1% | 74.2% | 63.0% | 11.6 |
| gpt-5.6-terra | 5 | 100% | 57.2% | 57.2% | 0 |
| gemini-3.1-pro | 3 | 82.3% | 64.6% | 53.2% | 14.0 |
| gemini-3.5-flash | 2 | 93.7% | 56.8% | 53.2% | 5.0 |
| pllum-12b | 5 | 100% | 44.3% | 44.3% | 0 |
| bielik-11b-v3 | 5 | 100% | 43.0% | 43.0% | 0 |
Majority baselines for the binary families: A3 = 65.2%, A4 = 50.0%. v0.2 is frozen as a diagnostic challenge set (no-signal pruning used v0.1 model results); a frozen v1.0 with a pre-registered selection procedure is planned. Full findings, limitations and incident log: RESULTS-v0.2.md in the canonical repo.
Gold answers for every analyzer-flagged item were verified by the dataset owner against ISAP commencement clauses (2026-08-14): zero gold edits, one ambiguous item quarantined; an independent second annotation pass is planned for v1.0. Notable finding: zero-abstention is a property of vendor training decisions, not of model size — both GPT-5.6 models abstained 0/400, matching the Polish models, while legacy gpt-5 was the heaviest abstainer in the roster.
Contamination canary
questions.json contains a _CANARY_ record with a unique GUID that is not a
question and must never be sent to models during evaluation. If a model can reproduce
this GUID, this dataset was in its training data — please report such a finding. Note
the asymmetry: reproducing the GUID is positive evidence of contamination, but failing
to reproduce it does not prove the absence of contamination.
Data provenance and legal basis
Source of legal texts and metadata: Internetowy System Aktów Prawnych (ISAP), Kancelaria Sejmu RP — https://isap.sejm.gov.pl — and the Sejm ELI API — https://api.sejm.gov.pl / https://eli.gov.pl. Retrieved: 2026-08-12/13. The texts have been processed (fragment extraction, paraphrase, derived dates); they are informational only and are not a source of law. Authentic texts are solely those promulgated in Dziennik Ustaw / Monitor Polski. This dataset is not legal advice.
Statute texts are excluded from copyright under art. 4 of the Polish Copyright Act and are in the public domain; the CC BY 4.0 license applies to the compilation, questions, nuggets, and metadata. Attribution required — cite this dataset and state the ISAP/ELI source. Provided as-is, no warranties (CC BY 4.0 Section 5).
Citation
Kobylinski, B. (2026). PL-Temporal: a benchmark of temporal legal reasoning over
Polish statutes (v0.2). https://github.com/bartoszkobylinski/pl-temporal
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