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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 5 new columns ({'nullable', 'description', 'type', 'constraints', 'name'}) and 5 missing columns ({'year', 'indicator_code', 'value', 'indicator_name', 'unit'}).
This happened while the csv dataset builder was generating data using
hf://datasets/opendoc-pakistan/pakistan_macroeconomic_indicators/data_dictionary.csv (at revision 5f8006eb3d1118e63343fdcf2cc322fd540715e0), ['hf://datasets/opendoc-pakistan/pakistan_macroeconomic_indicators@5f8006eb3d1118e63343fdcf2cc322fd540715e0/data/processed/macroeconomic_indicators.csv', 'hf://datasets/opendoc-pakistan/pakistan_macroeconomic_indicators@5f8006eb3d1118e63343fdcf2cc322fd540715e0/data_dictionary.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
name: string
type: string
description: string
nullable: bool
constraints: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 848
to
{'indicator_code': Value('string'), 'indicator_name': Value('string'), 'year': Value('int64'), 'value': Value('float64'), 'unit': 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 5 new columns ({'nullable', 'description', 'type', 'constraints', 'name'}) and 5 missing columns ({'year', 'indicator_code', 'value', 'indicator_name', 'unit'}).
This happened while the csv dataset builder was generating data using
hf://datasets/opendoc-pakistan/pakistan_macroeconomic_indicators/data_dictionary.csv (at revision 5f8006eb3d1118e63343fdcf2cc322fd540715e0), ['hf://datasets/opendoc-pakistan/pakistan_macroeconomic_indicators@5f8006eb3d1118e63343fdcf2cc322fd540715e0/data/processed/macroeconomic_indicators.csv', 'hf://datasets/opendoc-pakistan/pakistan_macroeconomic_indicators@5f8006eb3d1118e63343fdcf2cc322fd540715e0/data_dictionary.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.
indicator_code string | indicator_name string | year int64 | value float64 | unit string |
|---|---|---|---|---|
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,970 | 23,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,971 | 1,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,972 | 17,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,973 | -4,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,974 | 4,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,975 | 25,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,976 | 8,220,530.167889 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,977 | 15,223,204.01461 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,978 | 32,273,192.510972 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,979 | 58,254,127.362573 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,980 | 63,632,992.781068 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,981 | 108,084,748.503728 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,982 | 63,833,091.624158 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,983 | 29,457,026.664816 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,984 | 55,510,169.711646 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,985 | 131,389,252.246715 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,986 | 105,730,331.820871 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,987 | 129,377,643.59248 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,988 | 186,491,557.33337 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,989 | 210,599,917.11983 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,990 | 245,262,963.460759 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,991 | 258,414,487.035347 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,992 | 336,479,857.130617 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,993 | 348,556,957.814185 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,994 | 421,024,638.454287 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,995 | 722,631,560.660743 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,996 | 921,976,182.51983 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,997 | 716,253,125.440908 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,998 | 506,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 1,999 | 532,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,000 | 308,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,001 | 378,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,002 | 826,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,003 | 534,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,004 | 1,118,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,005 | 2,201,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,006 | 4,273,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,007 | 5,590,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,008 | 5,438,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,009 | 2,338,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,010 | 2,022,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,011 | 1,326,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,012 | 859,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,013 | 1,333,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,014 | 1,887,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,015 | 1,673,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,016 | 2,576,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,017 | 2,496,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,018 | 1,737,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,019 | 2,234,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,020 | 2,057,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,021 | 2,147,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,022 | 1,462,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,023 | 2,048,000,000 | current_usd |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | 2,024 | 2,665,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,976 | 411,736,938.5 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,977 | 872,086,608.9 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,978 | 1,309,296,997 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,979 | 1,501,616,821 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,980 | 2,047,622,437 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,981 | 2,067,108,154 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,982 | 2,588,121,582 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,983 | 2,940,239,990 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,984 | 2,580,805,664 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,985 | 2,537,092,529 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,986 | 2,446,387,207 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,987 | 2,180,528,076 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,988 | 1,871,958,252 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,989 | 2,017,306,152 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,990 | 2,006,266,968 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,991 | 1,548,698,364 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,992 | 1,573,619,019 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,993 | 1,446,277,100 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,994 | 1,749,277,100 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,995 | 1,712,219,435.60135 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,996 | 1,284,050,241.16386 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,997 | 1,707,282,924.73027 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,998 | 1,172,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 1,999 | 996,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 2,000 | 1,075,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 2,001 | 1,461,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 2,002 | 3,554,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 2,003 | 3,964,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 2,004 | 3,945,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 2,005 | 4,280,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 2,006 | 5,121,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 2,007 | 5,998,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 2,008 | 7,039,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 2,009 | 8,717,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 2,010 | 9,690,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 2,011 | 12,263,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 2,012 | 14,007,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 2,013 | 14,629,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 2,014 | 17,244,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 2,015 | 19,306,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 2,016 | 19,819,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 2,017 | 19,856,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 2,018 | 21,193,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 2,019 | 22,252,000,000 | current_usd |
BX.TRF.PWKR.CD.DT | Personal remittances, received (current US$) | 2,020 | 26,089,000,000 | current_usd |
End of preview.
Pakistan Macroeconomic Indicators (Time Series)
Long-format annual time series of Pakistan macroeconomic indicators compiled from the World Bank Open Data / World Development Indicators API.
Source: OpenDoc Pakistan
Pakistan Macroeconomic Indicators (Time Series)
Summary
This dataset is a long-format annual time series of Pakistan macroeconomic indicators compiled from the World Bank Open Data / World Development Indicators (WDI) API. It covers GDP, GDP per capita, GDP growth, consumer inflation, foreign direct investment, personal remittances, unemployment, total reserves, exports, and imports from 1960 to 2025 where observations are available.
Dataset Details
- Dataset ID:
pakistan-macroeconomic-indicators - Version:
1.1.0 - Category:
Economy and Finance - Tags:
economics,macroeconomics,gdp,inflation,trade,remittances,reserves,pakistan,time-series - Language:
English - Geography:
Pakistan (national aggregate) - Time Period:
1960 - 2025 - File Formats:
CSV - Records:
600 observations across 10 indicators - Update Frequency:
Annual - Maintainer:
OpenDoc Data Stewardship Team
Source and Provenance
- Source Name: World Bank Open Data - World Development Indicators (WDI)
- Source URL: https://data.worldbank.org/country/pakistan
- Source Type: Public open-data API (
https://api.worldbank.org/v2/country/PAK/indicator/...) - Collection Method: Programmatic download of per-indicator JSON responses for country
PAK, filtered to non-null observations. - Collection Date: July 4, 2026
- Processing Pipeline: Merged per-indicator API responses into a single long-format table (
indicator_code, indicator_name, year, value, unit), dropped null values, added unit labels, sorted by indicator and year. - Raw Data Availability: Fully public via the World Bank API.
License
- Original License: CC BY 4.0 (World Bank Open Data Terms of Use)
- Repository License: Creative Commons Attribution 4.0 International (CC BY 4.0)
- Attribution Required: Yes
- Commercial Use: Allowed
- Redistribution: Allowed
- Restrictions: Must credit the World Bank and OpenDoc Pakistan.
Intended Use
Appropriate for:
- Macroeconomic trend analysis and forecasting.
- Feature engineering for country-level economic, finance, development, and policy models.
- Teaching examples for long-format time-series analysis.
Out-of-Scope Use
- Real-time financial trading or investment advice; values are annual national aggregates and may lag.
- Sub-national fiscal or economic analysis; values are national aggregates.
- Interpreting provisional or revised years without checking the latest World Bank metadata.
Data Structure
Single CSV at data/processed/macroeconomic_indicators.csv in long format. One row represents one indicator-year observation.
Columns:
indicator_code: World Bank WDI indicator code.indicator_name: World Bank indicator name.year: Gregorian calendar year.value: Numeric observation.unit: Curated unit label.
Indicators included:
BX.KLT.DINV.CD.WD: Foreign direct investment, net inflows (BoP, current US$)BX.TRF.PWKR.CD.DT: Personal remittances, received (current US$)FI.RES.TOTL.CD: Total reserves (includes gold, current US$)FP.CPI.TOTL.ZG: Inflation, consumer prices (annual %)NE.EXP.GNFS.CD: Exports of goods and services (current US$)NE.IMP.GNFS.CD: Imports of goods and services (current US$)NY.GDP.MKTP.CD: GDP (current US$)NY.GDP.MKTP.KD.ZG: GDP growth (annual %)NY.GDP.PCAP.CD: GDP per capita (current US$)SL.UEM.TOTL.ZS: Unemployment, total (% of total labor force)
Data Dictionary
See data_dictionary.csv.
Quality Report
- Quality Score: 100 / 100
- Rating: Excellent
- Missing Values: Null observations removed; coverage varies by indicator and year.
- Duplicate Rows: 0% (primary key:
indicator_code+year). - Validation Status: Passed CSV integrity validation.
- Known Issues: World Bank API calls for official exchange rate (
PA.NUS.FCRF), current-account balance (BN.CAB.XOKA.CD), and external debt stocks (DT.DOD.DECT.CD) returned repeated gateway/time-out errors during the July 4, 2026 build and are not included in v1.1.0.
Privacy and Sensitivity Review
- Privacy Level: P0 (aggregate national statistics, no personal data)
- Personal Data Present: No
- Sensitive Data Present: No
- Redactions Applied: None
- Reviewer: OpenDoc Data Stewardship Team
- Review Date: July 4, 2026
Bias, Gaps, and Limitations
- National aggregates hide provincial, sectoral, urban/rural, and income-group differences.
- Some indicators are modelled estimates and may be revised by the World Bank.
- Indicator coverage is uneven: not every metric has observations back to 1960.
- Values are calendar-year WDI series and may not align with Pakistan fiscal-year reporting.
Example Usage
import pandas as pd
df = pd.read_csv("data/processed/macroeconomic_indicators.csv")
inflation = df[df["indicator_code"] == "FP.CPI.TOTL.ZG"]
print(inflation[["year", "value"]].tail(10))
Citation
World Bank, "World Development Indicators - Pakistan", curated as "Pakistan Macroeconomic Indicators" by OpenDoc Pakistan (OpenDoc), v1.1.0, 2026.
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