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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 5 new columns ({'is_euro', 'is_usd', 'has_multiple_currencies', 'shared_currency', 'dollar_in_name'})
This happened while the csv dataset builder was generating data using
hf://datasets/danielrosehill/ISO-3166-4217-Consolidated/data/consolidated/csv/consolidated_enriched.csv (at revision 7b6dbcdd726c252f6d2139845bc576401cac8ce7)
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 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
country_common_name: string
iso_3166_alpha-2: string
iso_3166_alpha-3: string
iso_3166_code: int64
iso_4217_currency_name_currency_1: string
iso_4217_alphabetic_code_currency_1: string
iso_4217_numeric_code_currency_1: double
iso_4217_currency_name_currency_2: string
iso_4217_alphabetic_code_currency_2: string
iso_4217_numeric_code_currency_2: double
has_multiple_currencies: int64
shared_currency: int64
is_usd: int64
is_euro: int64
dollar_in_name: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2403
to
{'country_common_name': Value('string'), 'iso_3166_alpha-2': Value('string'), 'iso_3166_alpha-3': Value('string'), 'iso_3166_code': Value('int64'), 'iso_4217_currency_name_currency_1': Value('string'), 'iso_4217_alphabetic_code_currency_1': Value('string'), 'iso_4217_numeric_code_currency_1': Value('float64'), 'iso_4217_currency_name_currency_2': Value('string'), 'iso_4217_alphabetic_code_currency_2': Value('string'), 'iso_4217_numeric_code_currency_2': Value('float64')}
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 1456, 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 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 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 5 new columns ({'is_euro', 'is_usd', 'has_multiple_currencies', 'shared_currency', 'dollar_in_name'})
This happened while the csv dataset builder was generating data using
hf://datasets/danielrosehill/ISO-3166-4217-Consolidated/data/consolidated/csv/consolidated_enriched.csv (at revision 7b6dbcdd726c252f6d2139845bc576401cac8ce7)
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.
country_common_name
string | iso_3166_alpha-2
string | iso_3166_alpha-3
string | iso_3166_code
int64 | iso_4217_currency_name_currency_1
string | iso_4217_alphabetic_code_currency_1
string | iso_4217_numeric_code_currency_1
float64 | iso_4217_currency_name_currency_2
null | iso_4217_alphabetic_code_currency_2
null | iso_4217_numeric_code_currency_2
null |
|---|---|---|---|---|---|---|---|---|---|
Afghanistan
|
AF
|
AFG
| 4
|
Afghani
|
AFN
| 971
| null | null | null |
Åland Islands
|
AX
|
ALA
| 248
|
Euro
|
EUR
| 978
| null | null | null |
Albania
|
AL
|
ALB
| 8
|
Lek
|
ALL
| 8
| null | null | null |
Algeria
|
DZ
|
DZA
| 12
|
Algerian Dinar
|
DZD
| 12
| null | null | null |
American Samoa
|
AS
|
ASM
| 16
|
US Dollar
|
USD
| 840
| null | null | null |
Andorra
|
AD
|
AND
| 20
|
Euro
|
EUR
| 978
| null | null | null |
Angola
|
AO
|
AGO
| 24
|
Kwanza
|
AOA
| 973
| null | null | null |
Anguilla
|
AI
|
AIA
| 660
|
East Caribbean Dollar
|
XCD
| 951
| null | null | null |
Antarctica
|
AQ
|
ATA
| 10
| null | null | null | null | null | null |
Antigua and Barbuda
|
AG
|
ATG
| 28
|
East Caribbean Dollar
|
XCD
| 951
| null | null | null |
Argentina
|
AR
|
ARG
| 32
|
Argentine Peso
|
ARS
| 32
| null | null | null |
Armenia
|
AM
|
ARM
| 51
|
Armenian Dram
|
AMD
| 51
| null | null | null |
Aruba
|
AW
|
ABW
| 533
|
Aruban Florin
|
AWG
| 533
| null | null | null |
Australia
|
AU
|
AUS
| 36
|
Australian Dollar
|
AUD
| 36
| null | null | null |
Austria
|
AT
|
AUT
| 40
|
Euro
|
EUR
| 978
| null | null | null |
Azerbaijan
|
AZ
|
AZE
| 31
|
Azerbaijan Manat
|
AZN
| 944
| null | null | null |
Bahamas
|
BS
|
BHS
| 44
|
Bahamian Dollar
|
BSD
| 44
| null | null | null |
Bahrain
|
BH
|
BHR
| 48
|
Bahraini Dinar
|
BHD
| 48
| null | null | null |
Bangladesh
|
BD
|
BGD
| 50
|
Taka
|
BDT
| 50
| null | null | null |
Barbados
|
BB
|
BRB
| 52
|
Barbados Dollar
|
BBD
| 52
| null | null | null |
Belarus
|
BY
|
BLR
| 112
|
Belarusian Ruble
|
BYN
| 933
| null | null | null |
Belgium
|
BE
|
BEL
| 56
|
Euro
|
EUR
| 978
| null | null | null |
Belize
|
BZ
|
BLZ
| 84
|
Belize Dollar
|
BZD
| 84
| null | null | null |
Benin
|
BJ
|
BEN
| 204
|
CFA Franc BCEAO
|
XOF
| 952
| null | null | null |
Bermuda
|
BM
|
BMU
| 60
|
Bermudian Dollar
|
BMD
| 60
| null | null | null |
Bhutan
|
BT
|
BTN
| 64
|
Indian Rupee
|
INR
| 356
| null | null | null |
Bolivia, Plurinational State of
|
BO
|
BOL
| 68
|
Boliviano
|
BOB
| 68
| null | null | null |
Bonaire, Sint Eustatius and Saba
|
BQ
|
BES
| 535
|
US Dollar
|
USD
| 840
| null | null | null |
Bosnia and Herzegovina
|
BA
|
BIH
| 70
|
Convertible Mark
|
BAM
| 977
| null | null | null |
Botswana
|
BW
|
BWA
| 72
|
Pula
|
BWP
| 72
| null | null | null |
Bouvet Island
|
BV
|
BVT
| 74
|
Norwegian Krone
|
NOK
| 578
| null | null | null |
Brazil
|
BR
|
BRA
| 76
|
Brazilian Real
|
BRL
| 986
| null | null | null |
British Indian Ocean Territory
|
IO
|
IOT
| 86
|
US Dollar
|
USD
| 840
| null | null | null |
Brunei Darussalam
|
BN
|
BRN
| 96
|
Brunei Dollar
|
BND
| 96
| null | null | null |
Bulgaria
|
BG
|
BGR
| 100
|
Bulgarian Lev
|
BGN
| 975
| null | null | null |
Burkina Faso
|
BF
|
BFA
| 854
|
CFA Franc BCEAO
|
XOF
| 952
| null | null | null |
Burundi
|
BI
|
BDI
| 108
|
Burundi Franc
|
BIF
| 108
| null | null | null |
Cabo Verde
|
CV
|
CPV
| 132
|
Cabo Verde Escudo
|
CVE
| 132
| null | null | null |
Cambodia
|
KH
|
KHM
| 116
|
Riel
|
KHR
| 116
| null | null | null |
Cameroon
|
CM
|
CMR
| 120
|
CFA Franc BEAC
|
XAF
| 950
| null | null | null |
Canada
|
CA
|
CAN
| 124
|
Canadian Dollar
|
CAD
| 124
| null | null | null |
Cayman Islands
|
KY
|
CYM
| 136
|
Cayman Islands Dollar
|
KYD
| 136
| null | null | null |
Central African Republic
|
CF
|
CAF
| 140
|
CFA Franc BEAC
|
XAF
| 950
| null | null | null |
Chad
|
TD
|
TCD
| 148
|
CFA Franc BEAC
|
XAF
| 950
| null | null | null |
Chile
|
CL
|
CHL
| 152
|
Chilean Peso
|
CLP
| 152
| null | null | null |
China
|
CN
|
CHN
| 156
|
Yuan Renminbi
|
CNY
| 156
| null | null | null |
Christmas Island
|
CX
|
CXR
| 162
|
Australian Dollar
|
AUD
| 36
| null | null | null |
Cocos (Keeling) Islands
|
CC
|
CCK
| 166
|
Australian Dollar
|
AUD
| 36
| null | null | null |
Colombia
|
CO
|
COL
| 170
|
Colombian Peso
|
COP
| 170
| null | null | null |
Comoros
|
KM
|
COM
| 174
|
Comorian Franc
|
KMF
| 174
| null | null | null |
Congo
|
CG
|
COG
| 178
|
CFA Franc BEAC
|
XAF
| 950
| null | null | null |
Congo, Democratic Republic of the
|
CD
|
COD
| 180
|
Congolese Franc
|
CDF
| 976
| null | null | null |
Cook Islands
|
CK
|
COK
| 184
|
New Zealand Dollar
|
NZD
| 554
| null | null | null |
Costa Rica
|
CR
|
CRI
| 188
|
Costa Rican Colon
|
CRC
| 188
| null | null | null |
Côte d'Ivoire
|
CI
|
CIV
| 384
|
CFA Franc BCEAO
|
XOF
| 952
| null | null | null |
Croatia
|
HR
|
HRV
| 191
|
Euro
|
EUR
| 978
| null | null | null |
Cuba
|
CU
|
CUB
| 192
|
Cuban Peso
|
CUP
| 192
| null | null | null |
Curaçao
|
CW
|
CUW
| 531
|
Caribbean Guilder
|
XCG
| 532
| null | null | null |
Cyprus
|
CY
|
CYP
| 196
|
Euro
|
EUR
| 978
| null | null | null |
Czechia
|
CZ
|
CZE
| 203
|
Czech Koruna
|
CZK
| 203
| null | null | null |
Denmark
|
DK
|
DNK
| 208
|
Danish Krone
|
DKK
| 208
| null | null | null |
Djibouti
|
DJ
|
DJI
| 262
|
Djibouti Franc
|
DJF
| 262
| null | null | null |
Dominica
|
DM
|
DMA
| 212
|
East Caribbean Dollar
|
XCD
| 951
| null | null | null |
Dominican Republic
|
DO
|
DOM
| 214
|
Dominican Peso
|
DOP
| 214
| null | null | null |
Ecuador
|
EC
|
ECU
| 218
|
US Dollar
|
USD
| 840
| null | null | null |
Egypt
|
EG
|
EGY
| 818
|
Egyptian Pound
|
EGP
| 818
| null | null | null |
El Salvador
|
SV
|
SLV
| 222
|
US Dollar
|
USD
| 840
| null | null | null |
Equatorial Guinea
|
GQ
|
GNQ
| 226
|
CFA Franc BEAC
|
XAF
| 950
| null | null | null |
Eritrea
|
ER
|
ERI
| 232
|
Nakfa
|
ERN
| 232
| null | null | null |
Estonia
|
EE
|
EST
| 233
|
Euro
|
EUR
| 978
| null | null | null |
Eswatini
|
SZ
|
SWZ
| 748
|
Lilangeni
|
SZL
| 748
| null | null | null |
Ethiopia
|
ET
|
ETH
| 231
|
Ethiopian Birr
|
ETB
| 230
| null | null | null |
Falkland Islands (Malvinas)
|
FK
|
FLK
| 238
| null | null | null | null | null | null |
Faroe Islands
|
FO
|
FRO
| 234
|
Danish Krone
|
DKK
| 208
| null | null | null |
Fiji
|
FJ
|
FJI
| 242
|
Fiji Dollar
|
FJD
| 242
| null | null | null |
Finland
|
FI
|
FIN
| 246
|
Euro
|
EUR
| 978
| null | null | null |
France
|
FR
|
FRA
| 250
|
Euro
|
EUR
| 978
| null | null | null |
French Guiana
|
GF
|
GUF
| 254
|
Euro
|
EUR
| 978
| null | null | null |
French Polynesia
|
PF
|
PYF
| 258
|
CFP Franc
|
XPF
| 953
| null | null | null |
French Southern Territories
|
TF
|
ATF
| 260
|
Euro
|
EUR
| 978
| null | null | null |
Gabon
|
GA
|
GAB
| 266
|
CFA Franc BEAC
|
XAF
| 950
| null | null | null |
Gambia
|
GM
|
GMB
| 270
|
Dalasi
|
GMD
| 270
| null | null | null |
Georgia
|
GE
|
GEO
| 268
|
Lari
|
GEL
| 981
| null | null | null |
Germany
|
DE
|
DEU
| 276
|
Euro
|
EUR
| 978
| null | null | null |
Ghana
|
GH
|
GHA
| 288
|
Ghana Cedi
|
GHS
| 936
| null | null | null |
Gibraltar
|
GI
|
GIB
| 292
|
Gibraltar Pound
|
GIP
| 292
| null | null | null |
Greece
|
GR
|
GRC
| 300
|
Euro
|
EUR
| 978
| null | null | null |
Greenland
|
GL
|
GRL
| 304
|
Danish Krone
|
DKK
| 208
| null | null | null |
Grenada
|
GD
|
GRD
| 308
|
East Caribbean Dollar
|
XCD
| 951
| null | null | null |
Guadeloupe
|
GP
|
GLP
| 312
|
Euro
|
EUR
| 978
| null | null | null |
Guam
|
GU
|
GUM
| 316
|
US Dollar
|
USD
| 840
| null | null | null |
Guatemala
|
GT
|
GTM
| 320
|
Quetzal
|
GTQ
| 320
| null | null | null |
Guernsey
|
GG
|
GGY
| 831
|
Pound Sterling
|
GBP
| 826
| null | null | null |
Guinea
|
GN
|
GIN
| 324
|
Guinean Franc
|
GNF
| 324
| null | null | null |
Guinea-Bissau
|
GW
|
GNB
| 624
|
CFA Franc BCEAO
|
XOF
| 952
| null | null | null |
Guyana
|
GY
|
GUY
| 328
|
Guyana Dollar
|
GYD
| 328
| null | null | null |
Haiti
|
HT
|
HTI
| 332
|
Gourde
|
HTG
| 332
| null | null | null |
Heard Island and McDonald Islands
|
HM
|
HMD
| 334
|
Australian Dollar
|
AUD
| 36
| null | null | null |
Holy See
|
VA
|
VAT
| 336
|
Euro
|
EUR
| 978
| null | null | null |
Honduras
|
HN
|
HND
| 340
|
Lempira
|
HNL
| 340
| null | null | null |
ISO-3166 & ISO-4217 "Consolidated" Lookup Dataset
This dataset contains a mapping between ISO-3166 (countries) and ISO-4217 (currencies).
The objective was to create a single dataset to support everyday workloads in international financial analysis undertaken by "casual" / non-official actors and analysts.
Version
V1
Compiled by: Daniel Rosehill Date: 03-09 (September) - 2025
Note: geopolitics and the global financial system are clearly dynamic concepts.
Much as this dataset is totally unofficial (and should be used accordingly) it also reflects a mapping based upon a static copy of the data sourced on September 03, 2025.
ISO-4217 provides a separate sub-standard for historic currencies. Countries change name from time to time, secede, join monetary alliances, etc. These changes are reflected in the ongoing revision process of the ISO standards which also (ISO-4217) provides a lookup for former/deprecated currencies.
Provenance / Edits
To reflect the intended
Several currencies provided in ISO-4217 and which are not the permament formal/national currency of current soverign entities were excludedc from the matching logic.
See
changelog.mdfor a list of these. These include multilateral mechanisms like Special Drawing Rights.
Enriched Data
A few Booleans were added to help quickly identify outliers in the international currency system such as the (relatively few) countries in which there are multiple legaly units of tender, as captured in ISO-4217.
Repository Organisation
Original Data Sources
source/edited/iso-3166.csv: ISO 3166 territory list (edited copy).source/edited/iso-4217-edited.csv: ISO 4217 currency list (edited to remove special instruments and historical entries).
Consolidated / Mapped Data
As CSV
consolidated.csv: Base consolidated table with ISO identifiers and up to two currencies per territory.consolidated_enriched.csv: Same as base plus derived flags for common analyses.
As JSON
consolidatd.json: JSON array version of the base consolidated table.consolidated_enriched.json: JSON array version of the enriched table (flags as booleans).
Data Dictionary
country_common_name: Territory name from ISO 3166.iso_3166_alpha-2: Two-letter country code.iso_3166_alpha-3: Three-letter country code.iso_3166_code: Numeric country code.iso_4217_currency_name_currency_1: Primary currency name.iso_4217_alphabetic_code_currency_1: Primary 4217 alphabetic currency code.iso_4217_numeric_code_currency_1: Primary 4217 numeric currency code.iso_4217_currency_name_currency_2: Secondary currency name (if applicable).iso_4217_alphabetic_code_currency_2: Secondary 4217 alphabetic code (if applicable).iso_4217_numeric_code_currency_2: Secondary 4217 numeric code (if applicable).has_multiple_currencies(enriched): 1 if two currencies listed for the territory, else 0.shared_currency(enriched): 1 if any listed currency code is used by multiple territories, else 0.is_usd(enriched): 1 if USD is one of the listed currencies, else 0.is_euro(enriched): 1 if EUR is one of the listed currencies, else 0.dollar_in_name(enriched): 1 if any listed currency name contains the word “Dollar,” else 0.
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