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
ok: bool
kind: string
v: int64
updated: string
days: list<item: timestamp[s]>
child 0, item: timestamp[s]
tiers: list<item: struct<up_to_sites: int64, price: int64>>
child 0, item: struct<up_to_sites: int64, price: int64>
child 0, up_to_sites: int64
child 1, price: int64
problems: list<item: struct<code: string, title: string, source: string, sites: int64, sites_label: string, fo (... 42 chars omitted)
child 0, item: struct<code: string, title: string, source: string, sites: int64, sites_label: string, for_sale: boo (... 30 chars omitted)
child 0, code: string
child 1, title: string
child 2, source: string
child 3, sites: int64
child 4, sites_label: string
child 5, for_sale: bool
child 6, price: int64
child 7, page: string
signals: list<item: struct<code: string, title: string, sites: int64, sites_label: string, for_sale: bool, pr (... 38 chars omitted)
child 0, item: struct<code: string, title: string, sites: int64, sites_label: string, for_sale: bool, price: null, (... 26 chars omitted)
child 0, code: string
child 1, title: string
child 2, sites: int64
child 3, sites_label: string
child 4, for_sale: bool
child 5, price: null
child 6, why: string
child 7, page: string
cohort_rule: string
full_scan_only: list<item: struct<code: string, title: string, sites: null, for_sale: bool, why: string>>
child 0, item: struct<code: string, title: string, sites: null, for_sale: bool, why: string>
child 0, code: string
child 1, title: string
child 2, sites: null
child 3, for_sale: bool
child 4, why: string
sites_measured_counted_at: string
note: string
at: string
sections_scored: int64
identities_sent: int64
queue: int64
findings_published: int64
scans_run: int64
crawler_visits: int64
sites_measured_truncated: bool
sites_measured: int64
sites_measured_source: string
sections: int64
guides_published: int64
domains_in_corpus: int64
to
{'ok': Value('bool'), 'at': Value('string'), 'sites_measured': Value('int64'), 'scans_run': Value('int64'), 'domains_in_corpus': Value('int64'), 'sites_measured_truncated': Value('bool'), 'sites_measured_counted_at': Value('string'), 'sites_measured_source': Value('string'), 'crawler_visits': Value('int64'), 'queue': Value('int64'), 'identities_sent': Value('int64'), 'sections': Value('int64'), 'sections_scored': Value('int64'), 'findings_published': Value('int64'), 'guides_published': Value('int64'), 'note': 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 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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
ok: bool
kind: string
v: int64
updated: string
days: list<item: timestamp[s]>
child 0, item: timestamp[s]
tiers: list<item: struct<up_to_sites: int64, price: int64>>
child 0, item: struct<up_to_sites: int64, price: int64>
child 0, up_to_sites: int64
child 1, price: int64
problems: list<item: struct<code: string, title: string, source: string, sites: int64, sites_label: string, fo (... 42 chars omitted)
child 0, item: struct<code: string, title: string, source: string, sites: int64, sites_label: string, for_sale: boo (... 30 chars omitted)
child 0, code: string
child 1, title: string
child 2, source: string
child 3, sites: int64
child 4, sites_label: string
child 5, for_sale: bool
child 6, price: int64
child 7, page: string
signals: list<item: struct<code: string, title: string, sites: int64, sites_label: string, for_sale: bool, pr (... 38 chars omitted)
child 0, item: struct<code: string, title: string, sites: int64, sites_label: string, for_sale: bool, price: null, (... 26 chars omitted)
child 0, code: string
child 1, title: string
child 2, sites: int64
child 3, sites_label: string
child 4, for_sale: bool
child 5, price: null
child 6, why: string
child 7, page: string
cohort_rule: string
full_scan_only: list<item: struct<code: string, title: string, sites: null, for_sale: bool, why: string>>
child 0, item: struct<code: string, title: string, sites: null, for_sale: bool, why: string>
child 0, code: string
child 1, title: string
child 2, sites: null
child 3, for_sale: bool
child 4, why: string
sites_measured_counted_at: string
note: string
at: string
sections_scored: int64
identities_sent: int64
queue: int64
findings_published: int64
scans_run: int64
crawler_visits: int64
sites_measured_truncated: bool
sites_measured: int64
sites_measured_source: string
sections: int64
guides_published: int64
domains_in_corpus: int64
to
{'ok': Value('bool'), 'at': Value('string'), 'sites_measured': Value('int64'), 'scans_run': Value('int64'), 'domains_in_corpus': Value('int64'), 'sites_measured_truncated': Value('bool'), 'sites_measured_counted_at': Value('string'), 'sites_measured_source': Value('string'), 'crawler_visits': Value('int64'), 'queue': Value('int64'), 'identities_sent': Value('int64'), 'sections': Value('int64'), 'sections_scored': Value('int64'), 'findings_published': Value('int64'), 'guides_published': Value('int64'), 'note': 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.
CrawlCheck: Finding counts by problem
How many measured sites carry each problem the scan can raise, by lane and tier, plus finding frequencies across every scan run.
Mirrored from crawlcheck.io/datasets/problems by the CrawlCheck Worker; the site is the canonical copy and is updated first. Measured by CrawlCheck's own observer. Free under CC BY 4.0: credit "CrawlCheck" with the URL of the file.
- Catalogue of every dataset: https://crawlcheck.io/datasets
- How the data is made: https://crawlcheck.io/how-it-works
- Downloads last month
- -