The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
changes: struct<>
release: string
release_policy: string
scope: string
sha256: struct<.gitattributes: string, LICENSE: string, NOTICE.md: string, PUBLICATION.json: string, README. (... 262 chars omitted)
child 0, .gitattributes: string
child 1, LICENSE: string
child 2, NOTICE.md: string
child 3, PUBLICATION.json: string
child 4, README.md: string
child 5, dataset_info.json: string
child 6, factorial-audit.json: string
child 7, factorial-auroc.pdf: string
child 8, factorial-auroc.png: string
child 9, factorial-auroc.svg: string
child 10, factorial-keyed-summary.json: string
child 11, factorial-overlap-sensitivity.json: string
child 12, null-audit.json: string
to
{'release': Value('string'), 'sha256': {'.gitattributes': Value('string'), 'LICENSE': Value('string'), 'NOTICE.md': Value('string'), 'PUBLICATION.json': Value('string'), 'README.md': Value('string'), 'dataset_info.json': Value('string'), 'factorial-audit.json': Value('string'), 'factorial-auroc.pdf': Value('string'), 'factorial-auroc.png': Value('string'), 'factorial-auroc.svg': Value('string'), 'factorial-keyed-summary.json': Value('string'), 'factorial-overlap-sensitivity.json': Value('string'), 'null-audit.json': 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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 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
changes: struct<>
release: string
release_policy: string
scope: string
sha256: struct<.gitattributes: string, LICENSE: string, NOTICE.md: string, PUBLICATION.json: string, README. (... 262 chars omitted)
child 0, .gitattributes: string
child 1, LICENSE: string
child 2, NOTICE.md: string
child 3, PUBLICATION.json: string
child 4, README.md: string
child 5, dataset_info.json: string
child 6, factorial-audit.json: string
child 7, factorial-auroc.pdf: string
child 8, factorial-auroc.png: string
child 9, factorial-auroc.svg: string
child 10, factorial-keyed-summary.json: string
child 11, factorial-overlap-sensitivity.json: string
child 12, null-audit.json: string
to
{'release': Value('string'), 'sha256': {'.gitattributes': Value('string'), 'LICENSE': Value('string'), 'NOTICE.md': Value('string'), 'PUBLICATION.json': Value('string'), 'README.md': Value('string'), 'dataset_info.json': Value('string'), 'factorial-audit.json': Value('string'), 'factorial-auroc.pdf': Value('string'), 'factorial-auroc.png': Value('string'), 'factorial-auroc.svg': Value('string'), 'factorial-keyed-summary.json': Value('string'), 'factorial-overlap-sensitivity.json': Value('string'), 'null-audit.json': 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.
WONI-CrossScheme
WONI — Watermark Observatory for Networked Integrity is a collection of benchmark inputs and evaluation artifacts for language-model watermarking research.
Author: Euisuh Jeong
Affiliation: Artificial Intelligence Based Technology Company, Republic of Korea Air Force
Exploratory cross-scheme reader scores and sensitivity analyses.
Release 2026-09-23-public-v3 (public-v3).
factorial-audit.json records an exploratory analysis of 2,000 generated
outputs across 128 reader configurations, with 100 prompt groups split
50/25/25 into train/calibration/test. It contains source-output hashes, scores
and metrics; it does not contain 2,000 generated-text records. Source:
source_files, results and split_groups in that file.
factorial-keyed-summary.json is injection-sanity evidence, not a calibrated
keyed-detector claim. factorial-overlap-sensitivity.json retains separately
reported overlap exclusions without refitting or threshold reselection.
null-audit.json is a synthetic-only diagnostic. The three AUROC figures are
historical visual summaries. Sources: purpose, policy, limitations,
synthetic_only in the respective files.
This is distinct from WONI-CrossBench,
which hosts benchmark inputs and prompt allocation. For prompt text, source
revisions and MIT attribution, use that input release. These exploratory scores
do not establish universal transfer or an independent confirmatory result.
Sources: scope and target_recalibration_access in factorial-audit.json.
Download and integrity
This is an artifact collection, not a homogeneous training table. Download explicit files or a pinned snapshot:
from huggingface_hub import snapshot_download
root = snapshot_download("euisuh/WONI-crossScheme", repo_type="dataset", revision="public-v3")
Resolve the tag once and record its full Hub commit SHA. Verify payload hashes
against MANIFEST.json. Exact inventory and counts:
dataset_info.json. This JSON is descriptive project metadata,
not a Hugging Face DatasetInfo schema or an automatic load_dataset config.
Terms and related artifacts
NOTICE.md distinguishes original observations from source-derived content. LICENSE preserves MIT for original observations and release documentation only; it does not cover third-party passages, code or model assets. Use the release revision cited in the paper for reproducibility.
Related resources: WONI-CrossBench, WONI-correctness, WONI-robustness, WONI-crossScheme. The detector paper's public replay artifact is v1.2.0. These author-linked repositories are not anonymous review artifacts or claims of paper acceptance. Cite the applicable upstream datasets as well.
Citation
@misc{jeong2026woni_crossscheme,
author = {Euisuh Jeong},
title = {WONI-CrossScheme},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/euisuh/WONI-crossScheme},
note = {Public release 2026-09-23-public-v3; record the resolved commit SHA}
}
- Downloads last month
- 467