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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 3 new columns ({'item', 'brand', 'InStock'}) and 6 missing columns ({'id', 'last_name', 'email', 'gender', 'first_name', 'ip_address'}).
This happened while the csv dataset builder was generating data using
hf://datasets/mmm4/osworld/stock.csv (at revision 7e2fef56b4016f0f0f25e573f17dd11836836e60)
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/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
item: string
brand: string
InStock: bool
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 589
to
{'id': Value('int64'), 'first_name': Value('string'), 'last_name': Value('string'), 'email': Value('string'), 'gender': Value('string'), 'ip_address': 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 1339, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 972, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
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 3 new columns ({'item', 'brand', 'InStock'}) and 6 missing columns ({'id', 'last_name', 'email', 'gender', 'first_name', 'ip_address'}).
This happened while the csv dataset builder was generating data using
hf://datasets/mmm4/osworld/stock.csv (at revision 7e2fef56b4016f0f0f25e573f17dd11836836e60)
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.
id
int64 | first_name
string | last_name
string | email
string | gender
string | ip_address
string |
|---|---|---|---|---|---|
1
|
Salvador
|
Pauncefoot
|
Male
|
130.189.214.196
|
|
2
|
Zorine
|
Baert
|
Female
|
243.208.197.134
|
|
3
|
Hillyer
|
Cantero
|
Male
|
97.216.236.253
|
|
4
|
Maura
|
Rodda
|
Female
|
32.103.114.87
|
|
5
|
Alano
|
Eastment
|
Male
|
106.234.224.218
|
|
6
|
Vaclav
|
Cradoc
|
Male
|
30.109.82.52
|
|
7
|
Juliana
|
Deverille
|
Female
|
16.240.220.135
|
|
8
|
Michaelina
|
Rickets
|
Female
|
205.9.18.1
|
|
9
|
Joann
|
Abrey
|
Female
|
15.245.18.146
|
|
10
|
Hortensia
|
Birts
|
Female
|
249.243.157.17
|
|
11
|
Cristian
|
Oddey
|
Male
|
69.248.181.246
|
|
12
|
Norah
|
Ayrton
|
Female
|
58.196.192.78
|
|
13
|
Kerwinn
|
Wong
|
Male
|
165.120.220.250
|
|
14
|
Percy
|
Mallalieu
|
Male
|
16.141.182.27
|
|
15
|
Rubia
|
Roughey
|
Female
|
94.146.201.127
|
|
16
|
Nerissa
|
Thomason
|
Female
|
72.70.248.7
|
|
17
|
Delbert
|
Burker
|
Male
|
225.12.84.196
|
|
18
|
Ives
|
Brushneen
|
Male
|
96.160.166.145
|
|
19
|
Emelina
|
Kahan
|
Female
|
218.227.246.245
|
|
20
|
Wells
|
De Cruce
|
Male
|
66.223.78.63
|
|
21
|
Kerrill
|
Lovejoy
|
Female
|
60.52.8.17
|
|
22
|
Murdock
|
Howbrook
|
Genderqueer
|
38.163.115.38
|
|
23
|
Batholomew
|
Mucci
|
Male
|
130.25.50.135
|
|
24
|
Mandi
|
Sleith
|
Female
|
226.58.162.221
|
|
25
|
Timothee
|
Pettigrew
|
Male
|
232.65.97.147
|
|
26
|
Conney
|
Collett
|
Male
|
180.57.224.139
|
|
27
|
Tracie
|
Kisar
|
Polygender
|
107.40.213.207
|
|
28
|
Maxy
|
Ranklin
|
Male
|
204.128.31.152
|
|
29
|
Jasmine
|
Ebbrell
|
Female
|
19.2.125.123
|
|
30
|
Lynelle
|
Waddilove
|
Female
|
183.221.70.113
|
|
31
|
Neron
|
Kivelle
|
Male
|
15.173.192.214
|
|
32
|
Huberto
|
Aidler
|
Male
|
141.125.111.64
|
|
33
|
Giffy
|
Kinner
|
Male
|
9.107.132.18
|
|
34
|
Tomasina
|
Bolderoe
|
Female
|
52.38.18.5
|
|
35
|
Jobye
|
Ramm
|
Female
|
191.216.255.62
|
|
36
|
Auguste
|
Dell
|
Female
|
126.126.20.42
|
|
37
|
Wendel
|
Tunnoch
|
Male
|
8.165.62.251
|
|
38
|
Jilleen
|
Dunning
|
Female
|
183.212.253.78
|
|
39
|
Tedman
|
Boulton
|
Male
|
16.126.158.99
|
|
40
|
Nilson
|
Standing
|
Male
|
6.133.87.107
|
|
41
|
Emmett
|
Degli Abbati
|
Male
|
222.93.84.0
|
|
42
|
Ariadne
|
Royan
|
Female
|
222.107.74.60
|
|
43
|
Beatrisa
|
Matheson
|
Female
|
156.174.105.165
|
|
44
|
Myles
|
Okker
|
Male
|
29.185.133.141
|
|
45
|
Hamid
|
McAneny
|
Male
|
194.127.96.97
|
|
46
|
Haroun
|
Town
|
Male
|
195.184.96.221
|
|
47
|
Callida
|
Esselen
|
Non-binary
|
100.231.159.161
|
|
48
|
Julie
|
Dummett
|
Male
|
70.134.170.30
|
|
49
|
Billy
|
Soame
|
Male
|
174.91.125.230
|
|
50
|
Felice
|
Tolle
|
Male
|
57.11.213.74
|
|
51
|
Lyndy
|
McRannell
|
Female
|
27.226.254.173
|
|
52
|
Isidoro
|
Farre
|
Male
|
23.16.67.109
|
|
53
|
Leupold
|
Kubacki
|
Male
|
130.193.101.44
|
|
54
|
Roderick
|
Hullot
|
Male
|
2.86.0.213
|
|
55
|
Brendan
|
Wignall
|
Male
|
108.216.125.56
|
|
56
|
Madelyn
|
Kilmurry
|
Female
|
125.197.56.96
|
|
57
|
Fredrick
|
Bader
|
Male
|
119.197.184.252
|
|
58
|
Conney
|
Farreil
|
Male
|
112.150.194.48
|
|
59
|
Godard
|
Raatz
|
Male
|
236.70.30.68
|
|
60
|
Justis
|
Wildes
|
Genderfluid
|
187.141.19.180
|
|
61
|
Lutero
|
Sapwell
|
Male
|
186.254.195.21
|
|
62
|
Bar
|
Seargeant
|
Male
|
51.172.86.235
|
|
63
|
Lisette
|
Kalaher
|
Female
|
44.174.192.155
|
|
64
|
Clemmy
|
Chestnut
|
Male
|
40.168.89.95
|
|
65
|
Kalila
|
Desport
|
Female
|
84.29.180.38
|
|
66
|
Timmi
|
Boyn
|
Female
|
4.195.184.118
|
|
67
|
Leora
|
Yitzovitz
|
Female
|
218.53.182.72
|
|
68
|
Cord
|
Croxall
|
Male
|
88.8.64.44
|
|
69
|
Boy
|
Cursons
|
Male
|
247.182.183.221
|
|
70
|
Ty
|
Gerren
|
Male
|
71.198.217.95
|
|
71
|
Marketa
|
Dregan
|
Female
|
12.8.125.46
|
|
72
|
Saudra
|
Toulmin
|
Female
|
38.195.60.221
|
|
73
|
Aura
|
Domoney
|
Female
|
28.206.143.150
|
|
74
|
Misti
|
Lavington
|
Female
|
198.95.121.9
|
|
75
|
Vilhelmina
|
Village
|
Female
|
78.166.220.104
|
|
76
|
Gwynne
|
Burns
|
Genderqueer
|
1.184.183.137
|
|
77
|
Amitie
|
Harper
|
Female
|
79.74.227.73
|
|
78
|
Leicester
|
Ravenhill
|
Male
|
237.62.243.177
|
|
79
|
Mae
|
Laydon
|
Female
|
182.187.131.93
|
|
80
|
Rainer
|
D'Acth
|
Male
|
21.230.243.227
|
|
81
|
Celestia
|
Bayless
|
Female
|
186.103.105.19
|
|
82
|
Davy
|
Musicka
|
Male
|
245.145.238.102
|
|
83
|
Arly
|
Stelljes
|
Female
|
104.101.63.214
|
|
84
|
Worthy
|
Cleynaert
|
Male
|
59.16.63.107
|
|
85
|
Roi
|
Nevill
|
Male
|
172.190.34.209
|
|
86
|
Lettie
|
Dillingham
|
Female
|
199.206.213.95
|
|
87
|
Conrad
|
Blakeman
|
Male
|
178.217.158.173
|
|
88
|
Mariya
|
Courtese
|
Female
|
30.58.30.110
|
|
89
|
Robinetta
|
Gillard
|
Female
|
238.0.197.172
|
|
90
|
Marillin
|
Lindman
|
Female
|
137.236.186.158
|
|
91
|
Zacharias
|
Markus
|
Male
|
50.153.56.232
|
|
92
|
Ortensia
|
Dedmam
|
Female
|
184.204.152.123
|
|
93
|
Farand
|
Lindenberg
|
Female
|
130.211.23.14
|
|
94
|
Chester
|
Bayliss
|
Male
|
118.136.182.143
|
|
95
|
Shelley
|
Haseley
|
Female
|
129.218.48.168
|
|
96
|
Alta
|
Ickovicz
|
Female
|
208.152.156.178
|
|
97
|
Nial
|
Pavelka
|
Male
|
84.129.242.6
|
|
98
|
Ian
|
Mandres
|
Bigender
|
222.198.53.205
|
|
99
|
Arlyne
|
MacMichael
|
Bigender
|
168.136.136.68
|
|
100
|
Sadye
|
McLaverty
|
Genderqueer
|
95.222.228.14
|
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