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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: 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 ({'email', 'role', 'active', 'agent_id'}) and 10 missing columns ({'customer_id', 'is_default', 'state', 'address_type', 'postal_code', 'address_id', 'city', 'line1', 'line2', 'country'}).
This happened while the csv dataset builder was generating data using
hf://datasets/arjunvk7/ecommerce-chatbot-dataset/data/agents.csv (at revision 35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe), ['hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/addresses.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/agents.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/aisles.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/categories.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/clinc150_full.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/clinc150_small.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/conversation_messages.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/conversations.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/customers.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/departments.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/order_items.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/order_products__prior.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/orders.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/products.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/tickets.csv']
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)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
agent_id: string
email: string
role: string
active: int64
created_at: string
updated_at: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 963
to
{'address_id': Value('int64'), 'customer_id': Value('string'), 'address_type': Value('string'), 'line1': Value('string'), 'line2': Value('float64'), 'city': Value('string'), 'state': Value('string'), 'postal_code': Value('int64'), 'country': Value('string'), 'is_default': Value('int64'), 'created_at': Value('string'), 'updated_at': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
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 1683, 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 1839, 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 ({'email', 'role', 'active', 'agent_id'}) and 10 missing columns ({'customer_id', 'is_default', 'state', 'address_type', 'postal_code', 'address_id', 'city', 'line1', 'line2', 'country'}).
This happened while the csv dataset builder was generating data using
hf://datasets/arjunvk7/ecommerce-chatbot-dataset/data/agents.csv (at revision 35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe), ['hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/addresses.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/agents.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/aisles.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/categories.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/clinc150_full.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/clinc150_small.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/conversation_messages.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/conversations.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/customers.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/departments.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/order_items.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/order_products__prior.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/orders.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/products.csv', 'hf://datasets/arjunvk7/ecommerce-chatbot-dataset@35ed8e91ff16ebee2dd97da3c91b6e537e6ca5fe/data/tickets.csv']
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)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
address_id int64 | customer_id string | address_type string | line1 string | line2 null | city string | state string | postal_code int64 | country string | is_default int64 | created_at string | updated_at string |
|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 06b8999e2fba1a1fbc88172c00ba8bc7 | shipping | Address for 06b8999e | null | franca | SP | 14,409 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
2 | 18955e83d337fd6b2def6b18a428ac77 | shipping | Address for 18955e83 | null | sao bernardo do campo | SP | 9,790 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
3 | 4e7b3e00288586ebd08712fdd0374a03 | shipping | Address for 4e7b3e00 | null | sao paulo | SP | 1,151 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
4 | b2b6027bc5c5109e529d4dc6358b12c3 | shipping | Address for b2b6027b | null | mogi das cruzes | SP | 8,775 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
5 | 4f2d8ab171c80ec8364f7c12e35b23ad | shipping | Address for 4f2d8ab1 | null | campinas | SP | 13,056 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
6 | 879864dab9bc3047522c92c82e1212b8 | shipping | Address for 879864da | null | jaragua do sul | SC | 89,254 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
7 | fd826e7cf63160e536e0908c76c3f441 | shipping | Address for fd826e7c | null | sao paulo | SP | 4,534 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
8 | 5e274e7a0c3809e14aba7ad5aae0d407 | shipping | Address for 5e274e7a | null | timoteo | MG | 35,182 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
9 | 5adf08e34b2e993982a47070956c5c65 | shipping | Address for 5adf08e3 | null | curitiba | PR | 81,560 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
10 | 4b7139f34592b3a31687243a302fa75b | shipping | Address for 4b7139f3 | null | belo horizonte | MG | 30,575 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
11 | 9fb35e4ed6f0a14a4977cd9aea4042bb | shipping | Address for 9fb35e4e | null | montes claros | MG | 39,400 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
12 | 5aa9e4fdd4dfd20959cad2d772509598 | shipping | Address for 5aa9e4fd | null | rio de janeiro | RJ | 20,231 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
13 | b2d1536598b73a9abd18e0d75d92f0a3 | shipping | Address for b2d15365 | null | lencois paulista | SP | 18,682 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
14 | eabebad39a88bb6f5b52376faec28612 | shipping | Address for eabebad3 | null | sao paulo | SP | 5,704 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
15 | 1f1c7bf1c9b041b292af6c1c4470b753 | shipping | Address for 1f1c7bf1 | null | caxias do sul | RS | 95,110 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
16 | 206f3129c0e4d7d0b9550426023f0a08 | shipping | Address for 206f3129 | null | piracicaba | SP | 13,412 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
17 | a7c125a0a07b75146167b7f04a7f8e98 | shipping | Address for a7c125a0 | null | rio de janeiro | RJ | 22,750 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
18 | c5c61596a3b6bd0cee5766992c48a9a1 | shipping | Address for c5c61596 | null | guarulhos | SP | 7,124 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
19 | 9b8ce803689b3562defaad4613ef426f | shipping | Address for 9b8ce803 | null | sao paulo | SP | 5,416 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
20 | 49d0ea0986edde72da777f15456a0ee0 | shipping | Address for 49d0ea09 | null | pacaja | PA | 68,485 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
21 | 154c4ded6991bdfa3cd249d11abf4130 | shipping | Address for 154c4ded | null | florianopolis | SC | 88,034 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
22 | 690172ab319622688d3b4df42f676898 | shipping | Address for 690172ab | null | aparecida de goiania | GO | 74,914 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
23 | 2938121a40a20953c43caa8c98787fcb | shipping | Address for 2938121a | null | sao paulo | SP | 5,713 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
24 | 237098a64674ae89babdc426746260fc | shipping | Address for 237098a6 | null | curitiba | PR | 82,820 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
25 | cb721d7b4f271fd87011c4c83462c076 | shipping | Address for cb721d7b | null | sao paulo | SP | 8,225 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
26 | f681356046d9fde60e70c73a18d65ea2 | shipping | Address for f6813560 | null | santo andre | SP | 9,121 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
27 | 167bd30a409e3e4127df5a9408ebd394 | shipping | Address for 167bd30a | null | goiania | GO | 74,310 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
28 | 6e359a57a91f84095cc64e1b351aef8c | shipping | Address for 6e359a57 | null | sao paulo | SP | 4,571 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
29 | e0eea8f69a457b3f1fa246e44c9ebefd | shipping | Address for e0eea8f6 | null | cachoeiro de itapemirim | ES | 29,311 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
30 | e3109970a3fe8021d5ff82c577ce5606 | shipping | Address for e3109970 | null | sao paulo | SP | 5,528 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
31 | 261cb4f92498ca05d5bd1a327a261d9c | shipping | Address for 261cb4f9 | null | sao jose dos campos | SP | 12,235 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
32 | 6f92779347724b67e44e3224f3b4cffd | shipping | Address for 6f927793 | null | sao roque | SP | 18,130 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
33 | 2d5831cb2dff7cdefba62e950ae3dc7b | shipping | Address for 2d5831cb | null | camacari | BA | 42,800 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
34 | b2bed119388167a954382cca36c4777f | shipping | Address for b2bed119 | null | resende | RJ | 27,525 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
35 | 469634941c27cd844170935a3cf60b95 | shipping | Address for 46963494 | null | curitiba | PR | 81,750 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
36 | df0aa5b8586495e0ddf6b601122e43a1 | shipping | Address for df0aa5b8 | null | sumare | SP | 13,175 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
37 | 41c8f4b570869791379a925899a6af8a | shipping | Address for 41c8f4b5 | null | guarulhos | SP | 7,170 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
38 | 54f755c3fd2709231f9964a1430c5218 | shipping | Address for 54f755c3 | null | novo hamburgo | RS | 93,415 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
39 | 4c06b42fbf7b97ab10779cda5549cd1c | shipping | Address for 4c06b42f | null | sao luis | MA | 65,075 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
40 | b6368ca0f56d4632f44d58ca431487b2 | shipping | Address for b6368ca0 | null | sao jose | SC | 88,104 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
41 | 4a0e66fd30684aa1409cd1b66fec77cc | shipping | Address for 4a0e66fd | null | guarulhos | SP | 7,176 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
42 | c168abb9077b7821adae01dc1f0886c5 | shipping | Address for c168abb9 | null | santa barbara | MG | 35,960 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
43 | a3b0fda37bae14cf754877bed475e80c | shipping | Address for a3b0fda3 | null | sao paulo | SP | 5,727 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
44 | 0ccd415657ae8a6cd1c71b00155a019e | shipping | Address for 0ccd4156 | null | guarulhos | SP | 7,053 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
45 | c532a74a3ebf1bacce2e2bcce3783317 | shipping | Address for c532a74a | null | ribeirao preto | SP | 14,026 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
46 | 19cecb194f54e614b70d971306a9931b | shipping | Address for 19cecb19 | null | belo horizonte | MG | 30,320 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
47 | f34a6e874087ec1f0e3dab9fdf659c5d | shipping | Address for f34a6e87 | null | ituiutaba | MG | 38,300 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
48 | c132855c926907970dcf6f2bf0b33a24 | shipping | Address for c132855c | null | taquarituba | SP | 18,740 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
49 | df85b96ba2ce3e49bde101b1614f52ac | shipping | Address for df85b96b | null | sao jose dos pinhais | PR | 83,085 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
50 | 4d27341acd30a36bca39008ee9bb9050 | shipping | Address for 4d27341a | null | jaragua do sul | SC | 89,254 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
51 | d3b6830d18c7de943d1e707d1f061d40 | shipping | Address for d3b6830d | null | sao paulo | SP | 5,351 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
52 | 79de53946db384e2d7a9bd131792ad17 | shipping | Address for 79de5394 | null | montes claros | MG | 39,406 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
53 | a562ab1e728449e3461829dfe2e36f73 | shipping | Address for a562ab1e | null | barrinha | SP | 14,860 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
54 | b64ed91eab98972150bdaf77ca921934 | shipping | Address for b64ed91e | null | rio de janeiro | RJ | 21,310 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
55 | 8247b5583327ab8be19f96e1fb82f77b | shipping | Address for 8247b558 | null | parati | RJ | 23,970 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
56 | 8fcaa9368903f3a9a28aeaff28c14638 | shipping | Address for 8fcaa936 | null | dourados | MS | 79,804 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
57 | a9b0d1c26105279e1b8edc63d06bd668 | shipping | Address for a9b0d1c2 | null | sao paulo | SP | 5,017 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
58 | aa9f03ecd3728c9bd12e6d962c66c7cb | shipping | Address for aa9f03ec | null | trindade | GO | 75,388 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
59 | 230c0d740401730c7197d16376893525 | shipping | Address for 230c0d74 | null | cascavel | PR | 85,808 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
60 | a905baa530258422594f1b05615bd225 | shipping | Address for a905baa5 | null | fortaleza | CE | 60,140 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
61 | 4fa19f7da692e6bf9602aaad3c372eda | shipping | Address for 4fa19f7d | null | brasilia | DF | 72,270 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
62 | 03f846ad03437d864a8d2a22976dcafe | shipping | Address for 03f846ad | null | sao paulo | SP | 2,075 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
63 | de4e13fd7d6469c5ada77d0843c55e42 | shipping | Address for de4e13fd | null | pelotas | RS | 96,015 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
64 | 8276de07ef25225d412b8462d73f8664 | shipping | Address for 8276de07 | null | porto alegre | RS | 90,010 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
65 | cc32707d2e2f7c92ab449f9b28154809 | shipping | Address for cc32707d | null | rio de janeiro | RJ | 22,440 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
66 | a02f66c3af7b16eec19ddcd98b645fe3 | shipping | Address for a02f66c3 | null | salto | SP | 13,323 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
67 | 26acee41e2f75689a5615892f06ea0bd | shipping | Address for 26acee41 | null | belo horizonte | MG | 30,190 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
68 | f64cdee66599119324ce57a97e43700d | shipping | Address for f64cdee6 | null | jundiai | SP | 13,212 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
69 | 7ab7a537b678b6dd73d825ff6ee7be9d | shipping | Address for 7ab7a537 | null | cachoeiro de itapemirim | ES | 29,307 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
70 | 7300450cedf7e4c35c243c4a03c1e8a6 | shipping | Address for 7300450c | null | cacapava | SP | 12,280 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
71 | 4c7241af24b5344cb01fe687643de4fe | shipping | Address for 4c7241af | null | fortaleza | CE | 60,336 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
72 | 97e126f19a6f04b3462619f36862bcd2 | shipping | Address for 97e126f1 | null | sao vicente | SP | 11,310 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
73 | 6d27a9361e591da38c87a5e70253f3f2 | shipping | Address for 6d27a936 | null | uberlandia | MG | 38,408 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
74 | 6810c3dc47f641181fcc7f73275c3d19 | shipping | Address for 6810c3dc | null | botelhos | MG | 37,720 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
75 | b514422efcf14bef34858a0829bef189 | shipping | Address for b514422e | null | sao goncalo | RJ | 24,431 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
76 | 0aae2862f8eac77f10a34f44860720ac | shipping | Address for 0aae2862 | null | sao paulo | SP | 5,890 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
77 | 6c9a5923526346cbc0bd7bbd92269c01 | shipping | Address for 6c9a5923 | null | sao paulo | SP | 3,733 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
78 | 1b2cb35b19b40b61f953d32ea157b337 | shipping | Address for 1b2cb35b | null | araucaria | PR | 83,709 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
79 | 12d1b4294fef21016c9614eb31e55e15 | shipping | Address for 12d1b429 | null | sao vicente | SP | 11,347 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
80 | f6529ffebe6b3440d45d89604a4239ac | shipping | Address for f6529ffe | null | nova iguacu | RJ | 26,272 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
81 | 8264e3518163dd09211870b24a5d741d | shipping | Address for 8264e351 | null | sao paulo | SP | 5,415 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
82 | 8392e3d4cfeec63f2a8bfea68bf1f91f | shipping | Address for 8392e3d4 | null | areia branca | RN | 59,655 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
83 | 38d1cd89306128348ffdf4cc23f3a50a | shipping | Address for 38d1cd89 | null | sao paulo | SP | 4,548 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
84 | 91ec76836092bba85d11761078ed7bb5 | shipping | Address for 91ec7683 | null | campos dos goytacazes | RJ | 28,010 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
85 | f9dfa0a2934ffbb22e66924952548be8 | shipping | Address for f9dfa0a2 | null | sao carlos | SP | 13,573 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
86 | 5a3260cfde2a918b597dada7ddd247bb | shipping | Address for 5a3260cf | null | sao paulo | SP | 2,175 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
87 | ee3a81b2771fec5f9e982cdb1b3a4804 | shipping | Address for ee3a81b2 | null | itajuba | MG | 37,500 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
88 | 784c407781aa34749a388c9283782b56 | shipping | Address for 784c4077 | null | porto alegre | RS | 90,670 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
89 | 3f6ede29d4c69cd3316d2035b6cec1fb | shipping | Address for 3f6ede29 | null | sao bernardo do campo | SP | 9,890 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
90 | 6bed27564bd99d78d09c1fac13da56fd | shipping | Address for 6bed2756 | null | salto | SP | 13,321 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
91 | 670254dd2e886ffe621b3831afb47d7d | shipping | Address for 670254dd | null | cruz das almas | BA | 44,380 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
92 | f7cb015ff73be957ee6a30e2577742c5 | shipping | Address for f7cb015f | null | vassouras | RJ | 27,700 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
93 | ea2196dc456ba36fe4f6b81dca4867d4 | shipping | Address for ea2196dc | null | feira de santana | BA | 44,033 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
94 | 09241c552e9fe2420997a6c535e9d408 | shipping | Address for 09241c55 | null | sao paulo | SP | 4,537 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
95 | e50a30de3c32f9406a7185f40ce6874d | shipping | Address for e50a30de | null | brasilia | DF | 71,540 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
96 | f89c1a6b9c966869e441e55bc14acddc | shipping | Address for f89c1a6b | null | sao carlos | SP | 13,569 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
97 | 23e96758fd640560e9b1fbcda90abfc4 | shipping | Address for 23e96758 | null | sao paulo | SP | 5,565 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
98 | 369708cabd9831ea6fde670a3b602a92 | shipping | Address for 369708ca | null | sao paulo | SP | 3,636 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
99 | 5f8b4882b5a4ec7bf6d2107e6cd0cf29 | shipping | Address for 5f8b4882 | null | niteroi | RJ | 24,120 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
100 | ad6891a1937cb8723a2c08ba1ae59873 | shipping | Address for ad6891a1 | null | sao luis | MA | 65,058 | Brazil | 1 | 2026-06-26 23:07:10 | 2026-06-26 23:07:10 |
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