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opendoc-pakistan
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pakistan_interest_rate_corridor

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Tags:
finance
interest-rates
policy-rate
repo
reverse-repo
monetary-policy
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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 ({'description', 'type', 'constraints', 'nullable', 'name'}) and 5 missing columns ({'date', 'ceiling_amount_million_pkr', 'floor_institutions', 'floor_amount_million_pkr', 'ceiling_institutions'}).

This happened while the csv dataset builder was generating data using

hf://datasets/opendoc-pakistan/pakistan_interest_rate_corridor/data_dictionary.csv (at revision 1da1d4af12dcc317f892ae3522597feab7a0b2ab), ['hf://datasets/opendoc-pakistan/pakistan_interest_rate_corridor@1da1d4af12dcc317f892ae3522597feab7a0b2ab/data/processed/interest_rate_corridor.csv', 'hf://datasets/opendoc-pakistan/pakistan_interest_rate_corridor@1da1d4af12dcc317f892ae3522597feab7a0b2ab/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
              {'date': Value('string'), 'ceiling_amount_million_pkr': Value('int64'), 'ceiling_institutions': Value('int64'), 'floor_amount_million_pkr': Value('int64'), 'floor_institutions': Value('int64')}
              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 ({'description', 'type', 'constraints', 'nullable', 'name'}) and 5 missing columns ({'date', 'ceiling_amount_million_pkr', 'floor_institutions', 'floor_amount_million_pkr', 'ceiling_institutions'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/opendoc-pakistan/pakistan_interest_rate_corridor/data_dictionary.csv (at revision 1da1d4af12dcc317f892ae3522597feab7a0b2ab), ['hf://datasets/opendoc-pakistan/pakistan_interest_rate_corridor@1da1d4af12dcc317f892ae3522597feab7a0b2ab/data/processed/interest_rate_corridor.csv', 'hf://datasets/opendoc-pakistan/pakistan_interest_rate_corridor@1da1d4af12dcc317f892ae3522597feab7a0b2ab/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.

date
string
ceiling_amount_million_pkr
int64
ceiling_institutions
int64
floor_amount_million_pkr
int64
floor_institutions
int64
2009-08-13
2,340
1
0
0
2009-08-21
0
0
6,550
9
2009-08-28
0
0
12,100
8
2009-08-31
11,200
8
0
0
2009-09-04
2,800
1
0
0
2009-09-09
0
0
900
1
2009-09-10
0
0
7,200
2
2009-09-11
0
0
7,350
4
2009-09-16
700
1
0
0
2009-09-18
10,800
1
0
0
2009-09-19
0
0
13,500
1
2009-09-24
0
0
11,500
2
2009-09-25
0
0
12,500
3
2009-09-26
10,800
11
0
0
2009-09-28
5,600
4
0
0
2009-09-29
28,850
16
0
0
2009-09-30
54,250
13
0
0
2009-10-02
0
0
6,800
7
2009-10-09
0
0
2,500
1
2009-10-13
1,000
1
0
0
2009-10-16
8,600
4
0
0
2009-10-23
0
0
2,800
2
2009-10-29
0
0
800
1
2009-10-30
0
0
11,150
5
2009-11-02
0
0
2,500
1
2009-11-04
6,050
2
0
0
2009-11-06
1,250
1
0
0
2009-11-07
9,200
5
0
0
2009-11-12
1,850
1
0
0
2009-11-13
15,350
8
0
0
2009-11-20
0
0
5,200
3
2009-11-24
0
0
6,100
1
2009-11-26
9,300
3
0
0
2009-12-04
0
0
2,150
3
2009-12-09
0
0
5,000
1
2009-12-10
0
0
3,700
3
2009-12-11
0
0
15,050
13
2009-12-17
6,600
5
0
0
2009-12-18
36,350
15
0
0
2009-12-23
0
0
9,450
5
2009-12-24
0
0
24,350
16
2009-12-25
0
0
24,350
16
2009-12-26
0
0
9,800
3
2009-12-31
26,200
6
0
0
2010-01-06
0
0
6,000
1
2010-01-08
12,750
9
0
0
2010-01-09
1,050
2
0
0
2010-01-11
6,650
3
0
0
2010-01-15
9,400
3
0
0
2010-01-19
3,800
1
0
0
2010-01-21
0
0
24,750
9
2010-01-22
0
0
8,850
10
2010-01-29
17,850
6
0
0
2010-02-04
3,050
1
0
0
2010-02-10
13,700
8
0
0
2010-02-12
21,150
7
0
0
2010-02-18
3,800
1
0
0
2010-02-19
6,700
5
0
0
2010-02-25
0
0
6,000
1
2010-02-26
0
0
2,100
1
2010-03-05
0
0
8,850
6
2010-03-06
8,300
8
0
0
2010-03-07
8,300
8
0
0
2010-03-08
950
4
0
0
2010-03-09
13,300
9
0
0
2010-03-12
15,600
5
0
0
2010-03-18
5,700
3
0
0
2010-03-19
18,350
8
0
0
2010-03-22
0
0
6,000
1
2010-03-24
0
0
5,100
1
2010-03-25
0
0
1,800
2
2010-03-26
0
0
12,800
2
2010-03-30
0
0
11,000
3
2010-04-01
0
0
19,600
8
2010-04-02
0
0
21,750
11
2010-04-09
1,000
1
0
0
2010-04-13
4,500
1
0
0
2010-04-15
15,000
9
0
0
2010-04-16
29,800
18
0
0
2010-04-22
0
0
11,550
4
2010-04-23
0
0
20,400
11
2010-04-24
0
0
20,400
11
2010-04-29
0
0
3,200
2
2010-04-30
0
0
81,600
8
2010-05-05
10,650
4
0
0
2010-05-06
65,850
9
0
0
2010-05-07
0
0
16,500
1
2010-05-11
0
0
7,700
1
2010-05-13
0
0
2,800
2
2010-05-19
2,800
5
0
0
2010-05-20
37,150
15
0
0
2010-05-27
4,100
1
0
0
2010-05-31
1,100
2
0
0
2010-06-03
0
0
7,300
3
2010-06-07
0
0
5,500
1
2010-06-09
4,500
6
0
0
2010-06-10
27,900
11
0
0
2010-06-16
11,650
7
0
0
2010-06-17
77,100
18
0
0
2010-06-23
0
0
7,300
3
End of preview.

Pakistan Interest Rate Corridor Facility Usage

Official State Bank of Pakistan history of access to overnight repo and reverse repo facilities, showing ceiling and floor amounts and participating institutions.

Source: OpenDoc Pakistan

Pakistan Interest Rate Corridor Facility Usage

Summary

This dataset contains official State Bank of Pakistan history for access to overnight repo and reverse repo facilities. It tracks the SBP corridor ceiling and floor facility amounts and the number of participating institutions by date.

Dataset Details

  • Dataset ID: pakistan-interest-rate-corridor
  • Version: 0.1.0
  • Category: Economy and Finance
  • Tags: finance, interest-rates, policy-rate, repo, reverse-repo, monetary-policy, pakistan, sbp
  • Language: English
  • Geography: Pakistan
  • Time Period: 2009 - 2026
  • File Formats: CSV
  • Records: 2,231 observations
  • Update Frequency: Occasional; latest source file dated July 3, 2026
  • Maintainer: OpenDoc Data Stewardship Team

Source and Provenance

  • Source Name: State Bank of Pakistan (SBP), Economic Data
  • Source URL: https://www.sbp.org.pk/economic-data
  • Source File: https://www.sbp.org.pk/assets/document/IR-Corridor-Hist.xls
  • Source Type: Official central bank publication
  • Collection Date: July 4, 2026
  • Processing Pipeline: Downloaded the official SBP legacy Excel workbook, parsed the Corridor sheet, converted Excel serial dates to ISO dates, and normalized facility amounts/institution counts into CSV.
  • Raw Data Availability: Public on SBP Economic Data pages.

License

  • Original License: SBP public website data; explicit open redistribution license not found.
  • Repository License: LicenseRef-SBP-Public-Website
  • Attribution Required: Yes, cite the State Bank of Pakistan.
  • Commercial Use: No explicit restriction found in the source page reviewed.
  • Redistribution: No explicit restriction found in the source page reviewed; use with attribution to SBP.
  • Restriction: Do not label as CC-BY or public domain unless SBP publishes explicit open-license terms.

Intended Use

Appropriate for:

  • Monetary-policy and liquidity-condition analysis.
  • Interest-rate corridor monitoring.
  • Macro-financial feature engineering.

Out-of-Scope Use

  • Real-time trading or investment advice.
  • Open redistribution before confirming SBP licensing.

Data Structure

Single CSV at data/processed/interest_rate_corridor.csv.

Columns:

  • date: Observation date.
  • ceiling_amount_million_pkr: Overnight repo ceiling facility amount.
  • ceiling_institutions: Number of institutions using the ceiling facility.
  • floor_amount_million_pkr: Reverse repo floor facility amount.
  • floor_institutions: Number of institutions using the floor facility.

Data Dictionary

See data_dictionary.csv.

Quality Report

  • Quality Score: 95 / 100
  • Validation Status: CSV validation passed.
  • Missing Values: 0%.
  • Duplicate Rows: 0%.
  • Known Issues: The source records facility usage, not the policy-rate level itself.

Privacy and Sensitivity Review

  • Privacy Level: P0 (aggregate facility usage, no personal data)
  • Personal Data Present: No
  • Sensitive Data Present: No
  • Redactions Applied: None

Bias, Gaps, and Limitations

  • Facility usage is a liquidity-operation measure and should not be interpreted as a complete policy-rate series.
  • The original workbook is a legacy .xls file and may change format in future SBP updates.

Example Usage 

import pandas as pd

df = pd.read_csv("data/processed/interest_rate_corridor.csv")
df["date"] = pd.to_datetime(df["date"])
print(df.tail())

Citation 

State Bank of Pakistan, "Access to Overnight Repo/Reverse Repo Facilities-History", curated as "Pakistan Interest Rate Corridor Facility Usage" by OpenDoc Pakistan (OpenDoc), v0.1.0, 2026.
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