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
supplier_id: string
name: string
industry: string
annual_revenue_usd: int64
iso_certification: string
website: string
generated_at: timestamp[s]
results: list<item: struct<supplier_id: string, name: string, industry: string, annual_revenue_usd: int64, is (... 79 chars omitted)
child 0, item: struct<supplier_id: string, name: string, industry: string, annual_revenue_usd: int64, iso_certifica (... 67 chars omitted)
child 0, supplier_id: string
child 1, name: string
child 2, industry: string
child 3, annual_revenue_usd: int64
child 4, iso_certification: string
child 5, decision: string
child 6, reason: string
child 7, on_watchlist: bool
summary: struct<approved: int64, review: int64, rejected: int64, watchlist_count: int64>
child 0, approved: int64
child 1, review: int64
child 2, rejected: int64
child 3, watchlist_count: int64
total_suppliers: int64
to
{'generated_at': Value('timestamp[s]'), 'total_suppliers': Value('int64'), 'summary': {'approved': Value('int64'), 'review': Value('int64'), 'rejected': Value('int64'), 'watchlist_count': Value('int64')}, 'results': List({'supplier_id': Value('string'), 'name': Value('string'), 'industry': Value('string'), 'annual_revenue_usd': Value('int64'), 'iso_certification': Value('string'), 'decision': Value('string'), 'reason': Value('string'), 'on_watchlist': Value('bool')})}
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
supplier_id: string
name: string
industry: string
annual_revenue_usd: int64
iso_certification: string
website: string
generated_at: timestamp[s]
results: list<item: struct<supplier_id: string, name: string, industry: string, annual_revenue_usd: int64, is (... 79 chars omitted)
child 0, item: struct<supplier_id: string, name: string, industry: string, annual_revenue_usd: int64, iso_certifica (... 67 chars omitted)
child 0, supplier_id: string
child 1, name: string
child 2, industry: string
child 3, annual_revenue_usd: int64
child 4, iso_certification: string
child 5, decision: string
child 6, reason: string
child 7, on_watchlist: bool
summary: struct<approved: int64, review: int64, rejected: int64, watchlist_count: int64>
child 0, approved: int64
child 1, review: int64
child 2, rejected: int64
child 3, watchlist_count: int64
total_suppliers: int64
to
{'generated_at': Value('timestamp[s]'), 'total_suppliers': Value('int64'), 'summary': {'approved': Value('int64'), 'review': Value('int64'), 'rejected': Value('int64'), 'watchlist_count': Value('int64')}, 'results': List({'supplier_id': Value('string'), 'name': Value('string'), 'industry': Value('string'), 'annual_revenue_usd': Value('int64'), 'iso_certification': Value('string'), 'decision': Value('string'), 'reason': Value('string'), 'on_watchlist': Value('bool')})}
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.
Derived: Product Catalog Insights
Aggregated product catalog statistics enriched with ticket-derived signals.
Attribution & Redistribution
This dataset is derived from the following upstream source(s):
| Upstream Source | Repository | License |
|---|---|---|
| github_fetch_huggingface_terminal_9046_nxauzm_upstream_support_tickets | TianfuXinqu/github_fetch_huggingface_terminal_9046_nxauzm_upstream_support_tickets | apache-2.0 |
Redistribution is permitted under the apache-2.0 license. Attribution to the upstream source(s) is required when redistributing this dataset.
- Downloads last month
- 205