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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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