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
product_name: string
product_description: string
target_audience: string
usage_and_scene: string
core_selling_point: struct<selling_point1: string, selling_point2: string, selling_point3: string>
child 0, selling_point1: string
child 1, selling_point2: string
child 2, selling_point3: string
training_overlap_count: int64
categories: string
category_path_count: int64
excluded_training_count: int64
category: string
seed: int64
source_dir: string
selection_rule: string
items: list<item: struct<item_id: string, category: list<item: string>, selection: string>>
child 0, item: struct<item_id: string, category: list<item: string>, selection: string>
child 0, item_id: string
child 1, category: list<item: string>
child 0, item: string
child 2, selection: string
sample_count: int64
eligible_count: int64
category_statistics: struct<level2: struct<category_count: int64, counts: struct<Home & Living / Bathrooms: int64, Home & (... 5550 chars omitted)
child 0, level2: struct<category_count: int64, counts: struct<Home & Living / Bathrooms: int64, Home & Living / Beddi (... 389 chars omitted)
child 0, category_count: int64
child 1, counts: struct<Home & Living / Bathrooms: int64, Home & Living / Bedding: int64, Home & Living / Decoration: (... 350 chars omitted)
child 0, Home & Living / Bathrooms: int64
child 1, Home & Living / Bedding: int64
child 2, Home & Living / Decoration: int64
child 3, Home & Liv
...
nt64
child 76, Home & Living / Party Supplies / Others: int64
child 77, Home & Living / Tools & Home Improvement / Doors & Windows: int64
child 78, Home & Living / Tools & Home Improvement / Ladders: int64
child 79, Home & Living / Tools & Home Improvement / Others: int64
child 80, Home & Living / Tools & Home Improvement / Protective Gloves, Goggles & Masks: int64
child 81, Home & Living / Tools & Home Improvement / Roofing & Flooring: int64
child 82, Home & Living / Tools & Home Improvement / Shades, Awnings & Tarpaulins: int64
child 83, Home & Living / Tools & Home Improvement / Sinks & Water Taps: int64
child 84, Home & Living / Tools & Home Improvement / Tools: int64
child 85, Home & Living / Tools & Home Improvement / Trollies: int64
child 2, level4: struct<category_count: int64, counts: struct<Home & Living / Tools & Home Improvement / Tools / Air (... 159 chars omitted)
child 0, category_count: int64
child 1, counts: struct<Home & Living / Tools & Home Improvement / Tools / Air Compressors: int64, Home & Living / To (... 120 chars omitted)
child 0, Home & Living / Tools & Home Improvement / Tools / Air Compressors: int64
child 1, Home & Living / Tools & Home Improvement / Tools / Hammers: int64
child 2, Home & Living / Tools & Home Improvement / Tools / Spanner Sets: int64
eligible_category_path_count: int64
train_dir: string
to
{'source_dir': Value('string'), 'train_dir': Value('string'), 'categories': Value('string'), 'sample_count': Value('int64'), 'seed': Value('int64'), 'category': Value('string'), 'selection_rule': Value('string'), 'excluded_training_count': Value('int64'), 'training_overlap_count': Value('int64'), 'eligible_count': Value('int64'), 'eligible_category_path_count': Value('int64'), 'category_path_count': Value('int64'), 'category_statistics': {'level2': {'category_count': Value('int64'), 'counts': {'Home & Living / Bathrooms': Value('int64'), 'Home & Living / Bedding': Value('int64'), 'Home & Living / Decoration': Value('int64'), 'Home & Living / Dinnerware': Value('int64'), 'Home & Living / Furniture': Value('int64'), 'Home & Living / Gardening': Value('int64'), 'Home & Living / Home Care Supplies': Value('int64'), 'Home & Living / Home Organizers': Value('int64'), 'Home & Living / Kitchenware': Value('int64'), 'Home & Living / Lighting': Value('int64'), 'Home & Living / Party Supplies': Value('int64'), 'Home & Living / Tools & Home Improvement': Value('int64')}}, 'level3': {'category_count': Value('int64'), 'counts': {'Home & Living / Bathrooms / Bathroom Racks & Cabinets': Value('int64'), 'Home & Living / Bedding / Bedsheets, Pillowcases & Bolster Cases': Value('int64'), 'Home & Living / Bedding / Blankets, Comforters & Quilts': Value('int64'), 'Home & Living / Bedding / Cooling Mats': Value('int64'), 'Home & Living / Bedding / Mattress Protectors & Toppers': Value('int64'), 'H
...
Cooking Tweezers': Value('int64'), 'Home & Living / Kitchenware / Strainers': Value('int64'), 'Home & Living / Kitchenware / Tea, Coffee & Bartending Equipments': Value('int64'), 'Home & Living / Kitchenware / Whisks & Beaters': Value('int64'), 'Home & Living / Party Supplies / Backdrops & Banners': Value('int64'), 'Home & Living / Party Supplies / Others': Value('int64'), 'Home & Living / Tools & Home Improvement / Doors & Windows': Value('int64'), 'Home & Living / Tools & Home Improvement / Ladders': Value('int64'), 'Home & Living / Tools & Home Improvement / Others': Value('int64'), 'Home & Living / Tools & Home Improvement / Protective Gloves, Goggles & Masks': Value('int64'), 'Home & Living / Tools & Home Improvement / Roofing & Flooring': Value('int64'), 'Home & Living / Tools & Home Improvement / Shades, Awnings & Tarpaulins': Value('int64'), 'Home & Living / Tools & Home Improvement / Sinks & Water Taps': Value('int64'), 'Home & Living / Tools & Home Improvement / Tools': Value('int64'), 'Home & Living / Tools & Home Improvement / Trollies': Value('int64')}}, 'level4': {'category_count': Value('int64'), 'counts': {'Home & Living / Tools & Home Improvement / Tools / Air Compressors': Value('int64'), 'Home & Living / Tools & Home Improvement / Tools / Hammers': Value('int64'), 'Home & Living / Tools & Home Improvement / Tools / Spanner Sets': Value('int64')}}}, 'items': List({'item_id': Value('string'), 'category': List(Value('string')), 'selection': 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
product_name: string
product_description: string
target_audience: string
usage_and_scene: string
core_selling_point: struct<selling_point1: string, selling_point2: string, selling_point3: string>
child 0, selling_point1: string
child 1, selling_point2: string
child 2, selling_point3: string
training_overlap_count: int64
categories: string
category_path_count: int64
excluded_training_count: int64
category: string
seed: int64
source_dir: string
selection_rule: string
items: list<item: struct<item_id: string, category: list<item: string>, selection: string>>
child 0, item: struct<item_id: string, category: list<item: string>, selection: string>
child 0, item_id: string
child 1, category: list<item: string>
child 0, item: string
child 2, selection: string
sample_count: int64
eligible_count: int64
category_statistics: struct<level2: struct<category_count: int64, counts: struct<Home & Living / Bathrooms: int64, Home & (... 5550 chars omitted)
child 0, level2: struct<category_count: int64, counts: struct<Home & Living / Bathrooms: int64, Home & Living / Beddi (... 389 chars omitted)
child 0, category_count: int64
child 1, counts: struct<Home & Living / Bathrooms: int64, Home & Living / Bedding: int64, Home & Living / Decoration: (... 350 chars omitted)
child 0, Home & Living / Bathrooms: int64
child 1, Home & Living / Bedding: int64
child 2, Home & Living / Decoration: int64
child 3, Home & Liv
...
nt64
child 76, Home & Living / Party Supplies / Others: int64
child 77, Home & Living / Tools & Home Improvement / Doors & Windows: int64
child 78, Home & Living / Tools & Home Improvement / Ladders: int64
child 79, Home & Living / Tools & Home Improvement / Others: int64
child 80, Home & Living / Tools & Home Improvement / Protective Gloves, Goggles & Masks: int64
child 81, Home & Living / Tools & Home Improvement / Roofing & Flooring: int64
child 82, Home & Living / Tools & Home Improvement / Shades, Awnings & Tarpaulins: int64
child 83, Home & Living / Tools & Home Improvement / Sinks & Water Taps: int64
child 84, Home & Living / Tools & Home Improvement / Tools: int64
child 85, Home & Living / Tools & Home Improvement / Trollies: int64
child 2, level4: struct<category_count: int64, counts: struct<Home & Living / Tools & Home Improvement / Tools / Air (... 159 chars omitted)
child 0, category_count: int64
child 1, counts: struct<Home & Living / Tools & Home Improvement / Tools / Air Compressors: int64, Home & Living / To (... 120 chars omitted)
child 0, Home & Living / Tools & Home Improvement / Tools / Air Compressors: int64
child 1, Home & Living / Tools & Home Improvement / Tools / Hammers: int64
child 2, Home & Living / Tools & Home Improvement / Tools / Spanner Sets: int64
eligible_category_path_count: int64
train_dir: string
to
{'source_dir': Value('string'), 'train_dir': Value('string'), 'categories': Value('string'), 'sample_count': Value('int64'), 'seed': Value('int64'), 'category': Value('string'), 'selection_rule': Value('string'), 'excluded_training_count': Value('int64'), 'training_overlap_count': Value('int64'), 'eligible_count': Value('int64'), 'eligible_category_path_count': Value('int64'), 'category_path_count': Value('int64'), 'category_statistics': {'level2': {'category_count': Value('int64'), 'counts': {'Home & Living / Bathrooms': Value('int64'), 'Home & Living / Bedding': Value('int64'), 'Home & Living / Decoration': Value('int64'), 'Home & Living / Dinnerware': Value('int64'), 'Home & Living / Furniture': Value('int64'), 'Home & Living / Gardening': Value('int64'), 'Home & Living / Home Care Supplies': Value('int64'), 'Home & Living / Home Organizers': Value('int64'), 'Home & Living / Kitchenware': Value('int64'), 'Home & Living / Lighting': Value('int64'), 'Home & Living / Party Supplies': Value('int64'), 'Home & Living / Tools & Home Improvement': Value('int64')}}, 'level3': {'category_count': Value('int64'), 'counts': {'Home & Living / Bathrooms / Bathroom Racks & Cabinets': Value('int64'), 'Home & Living / Bedding / Bedsheets, Pillowcases & Bolster Cases': Value('int64'), 'Home & Living / Bedding / Blankets, Comforters & Quilts': Value('int64'), 'Home & Living / Bedding / Cooling Mats': Value('int64'), 'Home & Living / Bedding / Mattress Protectors & Toppers': Value('int64'), 'H
...
Cooking Tweezers': Value('int64'), 'Home & Living / Kitchenware / Strainers': Value('int64'), 'Home & Living / Kitchenware / Tea, Coffee & Bartending Equipments': Value('int64'), 'Home & Living / Kitchenware / Whisks & Beaters': Value('int64'), 'Home & Living / Party Supplies / Backdrops & Banners': Value('int64'), 'Home & Living / Party Supplies / Others': Value('int64'), 'Home & Living / Tools & Home Improvement / Doors & Windows': Value('int64'), 'Home & Living / Tools & Home Improvement / Ladders': Value('int64'), 'Home & Living / Tools & Home Improvement / Others': Value('int64'), 'Home & Living / Tools & Home Improvement / Protective Gloves, Goggles & Masks': Value('int64'), 'Home & Living / Tools & Home Improvement / Roofing & Flooring': Value('int64'), 'Home & Living / Tools & Home Improvement / Shades, Awnings & Tarpaulins': Value('int64'), 'Home & Living / Tools & Home Improvement / Sinks & Water Taps': Value('int64'), 'Home & Living / Tools & Home Improvement / Tools': Value('int64'), 'Home & Living / Tools & Home Improvement / Trollies': Value('int64')}}, 'level4': {'category_count': Value('int64'), 'counts': {'Home & Living / Tools & Home Improvement / Tools / Air Compressors': Value('int64'), 'Home & Living / Tools & Home Improvement / Tools / Hammers': Value('int64'), 'Home & Living / Tools & Home Improvement / Tools / Spanner Sets': Value('int64')}}}, 'items': List({'item_id': Value('string'), 'category': List(Value('string')), 'selection': 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.
No dataset card yet
- Downloads last month
- 209