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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 2 new columns ({'category_id', 'edge'}) and 3 missing columns ({'review_count', 'name', 'stars'}).

This happened while the csv dataset builder was generating data using

hf://datasets/codeloverhxy/yelp/yelp_academic_dataset_business_category.csv (at revision 0c1673d9192cbf68fe0bbae63f73ce7310f15549)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              business_id: string
              category_id: int64
              edge: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 609
              to
              {'business_id': Value(dtype='string', id=None), 'name': Value(dtype='string', id=None), 'stars': Value(dtype='float64', id=None), 'review_count': Value(dtype='int64', id=None)}
              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 1321, 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 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, 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 2 new columns ({'category_id', 'edge'}) and 3 missing columns ({'review_count', 'name', 'stars'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/codeloverhxy/yelp/yelp_academic_dataset_business_category.csv (at revision 0c1673d9192cbf68fe0bbae63f73ce7310f15549)
              
              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)

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business_id
string
name
string
stars
float64
review_count
int64
Pns2l4eNsfO8kk83dixA6A
Abby Rappoport, LAC, CMQ
5
7
mpf3x-BjTdTEA3yCZrAYPw
The UPS Store
3
15
tUFrWirKiKi_TAnsVWINQQ
Target
3.5
22
MTSW4McQd7CbVtyjqoe9mw
St Honore Pastries
4
80
mWMc6_wTdE0EUBKIGXDVfA
Perkiomen Valley Brewery
4.5
13
CF33F8-E6oudUQ46HnavjQ
Sonic Drive-In
2
6
n_0UpQx1hsNbnPUSlodU8w
Famous Footwear
2.5
13
qkRM_2X51Yqxk3btlwAQIg
Temple Beth-El
3.5
5
k0hlBqXX-Bt0vf1op7Jr1w
Tsevi's Pub And Grill
3
19
bBDDEgkFA1Otx9Lfe7BZUQ
Sonic Drive-In
1.5
10
UJsufbvfyfONHeWdvAHKjA
Marshalls
3.5
6
eEOYSgkmpB90uNA7lDOMRA
Vietnamese Food Truck
4
10
il_Ro8jwPlHresjw9EGmBg
Denny's
2.5
28
jaxMSoInw8Poo3XeMJt8lQ
Adams Dental
5
10
0bPLkL0QhhPO5kt1_EXmNQ
Zio's Italian Market
4.5
100
MUTTqe8uqyMdBl186RmNeA
Tuna Bar
4
245
rBmpy_Y1UbBx8ggHlyb7hA
Arizona Truck Outfitters
4.5
10
M0XSSHqrASOnhgbWDJIpQA
Herb Import Co
4
5
8wGISYjYkE2tSqn3cDMu8A
Nifty Car Rental
3.5
14
ROeacJQwBeh05Rqg7F6TCg
BAP
4.5
205
WKMJwqnfZKsAae75RMP6jA
Roast Coffeehouse and Wine Bar
4
40
qhDdDeI3K4jy2KyzwFN53w
Barnes & Noble Booksellers
4
38
kfNv-JZpuN6TVNSO6hHdkw
Hibachi Express
4
20
9OG5YkX1g2GReZM0AskizA
Romano's Macaroni Grill
2.5
339
4iRzR7OaS-QaSXuvYxEGKA
Super Dog
4
6
PSo_C1Sfa13JHjzVNW6ziQ
Indian Walk Veterinary Center
5
15
noByYNtDLQAra9ccqxdfDw
H&M
3
24
tMkwHmWFUEXrC9ZduonpTg
The Green Pheasant
4
161
QdN72BWoyFypdGJhhI5r7g
Bar One
4
65
sqSqqLy0sN8n2IZrAbzidQ
Domino's Pizza
3.5
8
fvWn8oXXwbj2l79cochZyw
Altitude Trampoline Park - Boise
5
30
Mjboz24M9NlBeiOJKLEd_Q
DeSandro on Main
3
41
8sshLb4UU7emeUDvtJWnpA
DanceLine
4.5
11
kV_Q1oqis8Qli8dUoGpTyQ
Ardmore Pizza
3.5
109
w_AMNoI1iG9eay7ncmc67w
River 127
3
12
aPNXGTDkf-4bjhyMBQxqpQ
Craft Hall
3.5
65
2xVsWBNFwZOxIOdd9Mwnww
Cheeseburger In Paradise
2.5
20
mGFsPRHdE6SMV1gYQ6GzgQ
T-Mobile
2
6
LcAozWCMLGjwRbokaJAKMg
Edwardsville Children's Museum
4.5
12
fSCNwMtNNQY9QT69Cj9fiA
Sierra Pro Events
5
7
x1mhq4IpWctQOBM06dU8vg
Diamond Hair Company
1.5
25
ljxNT9p0y7YMPx0fcNBGig
Tony's Restaurant & 3rd Street Cafe
3
94
lwItZ1Ck3KtpCgG4CPFmpQ
Stomel Elliot Attorney-At-Law
5
5
Kq51_lGAgAigqmENITTr-A
Bala Better Health
4
13
mglME3E7esPSpIF5bias8w
Pier 1
2.5
8
wghnIlMb_i5U46HMBGx9ig
China Dragon Restaurant
3
23
JX4tUpd09YFchLBuI43lGw
Naked Cyber Cafe & Espresso Bar
4
12
lk9IwjZXqUMqqOhM774DtQ
Caviar & Bananas
3.5
159
bCBPXIVfVzBZBEpFu29dcg
All In Shipping
5
5
ABxoFuzZy5mqQ8C5FJJajQ
Core de Roma
5
12
Hwt3_mOEmU-t--ywcemnMg
Gold's Gym
3
17
REwfwz-_-CMQ7Np5UVi9Qg
Jennie Deckert
5
7
5BmQX4UVJY19mMtafMg7JA
Breadland Organic Whole Grain Bakery
4
23
cVBxfMC4lp3DnocjYA3FHQ
Paws The Cat Cafe
5
20
0qNpTGTcqPwOLi2hADx4Xw
Charlie's Market
3
9
xM6LoUcnpDpMBzXs_7dXAg
Fairfield Inn & Suites
3
37
txyXRytGjwOXvS8s4sc-WA
Smoothie King
3
29
DQ7PyYlp2bX96WZa7TcaWQ
LensCrafters
2.5
8
uI9XODGY_2_ieTE6xJ0myw
Roman Forum
4
23
JgpnXv_0XhV3SfbfB50nxw
Joe's Pizza
4
35
Si6LXSR9gvAbmgO5DzV2cw
Lafitte's Landing Seafood House
2.5
38
seKihQKpGGnCeLuELRQPSQ
Twin Peaks
3.5
257
L_TT0BFmFwORAMaA83K54A
Village Tap Room
2.5
23
mjWvAkNqoA6Y5P03sDSzfA
Educational Outfitters
2
10
qfWJmJ0g96eM_fWma3ja0g
Doc Magrogan's Oyster House - West Chester
3
114
uczmbBk5O3tYhGue13dCDg
New Orleans Spirit Tours
4
38
n7AQvGvNHlmun3kqXeBKVQ
Roy's Appliance Service
5
5
eYxGFkxo6m3SYGVTh5m2nQ
Big Boyz Toyz Motorcycle Rentals
4.5
8
lOP3HxdUTaq0eXhwR_KC-w
Sweet Things Chocolates
4
13
KWA2qtdwVEkMpd5soSKaGA
Publix Super Market
3.5
7
gbN4RuUiiBxQ2GBFQ2p3Cw
Mr. Margarita
5
7
B2qqjCl_BNNnXvWWfpFiLA
Pottery Barn Kids
1.5
13
7PDi_iyik3jraDAzWwwR4Q
Chase JP Morgan Bank Credit Card Services
1.5
111
8rb-3VYXE37IZix4yOdskw
Sharky's Sports Bar & Grill
2.5
29
9Rww8yE6Dm4dSMEq09nwXg
Holly Nails & Spa
4.5
16
aCDY7vXYMs54EbYuQScsnQ
39 North Taproom & Grill
4.5
25
-4dYswJy7SPcbcERvitmIg
Pathmark
2.5
34
mFTaYsRDyeFaY2NDLfSaAA
River City Games
4.5
5
x9K0RfZaT_zlw6DklBDzjw
Gavi Italian Restaurant
3.5
9
pJfh3Ct8iL58NZa8ta-a5w
Top Shelf Sports Lounge
4.5
95
cvP_vh_bOLbCY3eoY1Xw-A
Fishers Freedom Festival
4.5
7
7clCBgNbd-x2Wj96lZ6Mjw
Bier Brewery and Tap Room
4.5
139
ppFCk9aQkM338Rgwpl2F5A
Wawa
3
56
NZ_bFJma7brQUfln5h1UAg
Super Sushi Kyo Hin
3.5
6
eMjnw_7wp-CscyNh6Lu0ZA
AM&PM Locksmith
4.5
58
IDtLPgUrqorrpqSLdfMhZQ
Helena Avenue Bakery
4
389
sE6jSnvMts_MAn-b4OkMAw
K-9 Groom Room
4
5
YNjyv0gfOr2g8lbmUpTnKg
Copper Vine
4.5
350
LhpPSrulqVeTyJeK2xydvQ
Fresh Fruits & Salads
4.5
6
oaboaRBUgGjbo2kfUIKDLQ
Mike's Ice Cream
4.5
593
-ZXYcCyDjj1QimnJyGtYtg
Gilley's Antique Mall
4.5
24
nUqrF-h9S7myCcvNDecOvw
Iron Horse Auto Body
4.5
32
vR9_bhoszcpXbB_APv6Xlw
James Dant
5
31
RK6-cJ9hj53RzOlCBmpT-g
Impasto
5
5
ZM46RDLXaFNo_z6t-j_L4w
Absolutely Perfect Inc
3.5
5
pEm4xNCk8d0TF6A1gi-WDQ
TKO DJs
3.5
17
J_ksUDPpzPwfTGtI4zTRnQ
Riverview Room
4.5
7
knQ4vIgx-r85kjlWVVjcpQ
Silver and Blue Outfitters
4.5
5
U2Tzy6J9aAAg9pzXsgdkvg
Premier Mortgage Resources
5
6
1MeIwdbTnZOBFCKOrgaxuw
Ricardo's Italian Cafe
3.5
80
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