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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 ({'face_value_million_pkr', 'coupon_rate_pct'}) and 11 missing columns ({'offered_competitive_realized_value_million_pkr', 'accepted_competitive_face_value_million_pkr', 'accepted_non_competitive_realized_value_million_pkr', 'auction_date', 'auction_type', 'accepted_competitive_realized_value_million_pkr', 'accepted_non_competitive_face_value_million_pkr', 'settlement_date', 'target_amount_million_pkr', 'offered_competitive_face_value_million_pkr', 'short_sale_accommodated_face_value_million_pkr'}).
This happened while the csv dataset builder was generating data using
hf://datasets/opendoc-pakistan/pakistan_government_securities_auctions/data/processed/pib_outstanding_securities.csv (at revision e9f88faed4e0b7f260d5e6f24e319b8c80bc6e02), ['hf://datasets/opendoc-pakistan/pakistan_government_securities_auctions@e9f88faed4e0b7f260d5e6f24e319b8c80bc6e02/data/processed/pib_auction_results.csv', 'hf://datasets/opendoc-pakistan/pakistan_government_securities_auctions@e9f88faed4e0b7f260d5e6f24e319b8c80bc6e02/data/processed/pib_outstanding_securities.csv', 'hf://datasets/opendoc-pakistan/pakistan_government_securities_auctions@e9f88faed4e0b7f260d5e6f24e319b8c80bc6e02/data/processed/pib_weighted_average_yields.csv', 'hf://datasets/opendoc-pakistan/pakistan_government_securities_auctions@e9f88faed4e0b7f260d5e6f24e319b8c80bc6e02/data/processed/tbill_auction_results.csv', 'hf://datasets/opendoc-pakistan/pakistan_government_securities_auctions@e9f88faed4e0b7f260d5e6f24e319b8c80bc6e02/data/processed/tbill_weighted_average_yields.csv', 'hf://datasets/opendoc-pakistan/pakistan_government_securities_auctions@e9f88faed4e0b7f260d5e6f24e319b8c80bc6e02/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
isin: string
tenor: string
issue_date: string
maturity_date: string
coupon_rate_pct: double
face_value_million_pkr: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1018
to
{'auction_type': Value('string'), 'isin': Value('string'), 'tenor': Value('string'), 'issue_date': Value('string'), 'maturity_date': Value('string'), 'auction_date': Value('string'), 'settlement_date': Value('string'), 'target_amount_million_pkr': Value('int64'), 'offered_competitive_face_value_million_pkr': Value('float64'), 'offered_competitive_realized_value_million_pkr': Value('float64'), 'accepted_competitive_face_value_million_pkr': Value('float64'), 'accepted_competitive_realized_value_million_pkr': Value('float64'), 'accepted_non_competitive_face_value_million_pkr': Value('float64'), 'accepted_non_competitive_realized_value_million_pkr': Value('float64'), 'short_sale_accommodated_face_value_million_pkr': 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 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 2 new columns ({'face_value_million_pkr', 'coupon_rate_pct'}) and 11 missing columns ({'offered_competitive_realized_value_million_pkr', 'accepted_competitive_face_value_million_pkr', 'accepted_non_competitive_realized_value_million_pkr', 'auction_date', 'auction_type', 'accepted_competitive_realized_value_million_pkr', 'accepted_non_competitive_face_value_million_pkr', 'settlement_date', 'target_amount_million_pkr', 'offered_competitive_face_value_million_pkr', 'short_sale_accommodated_face_value_million_pkr'}).
This happened while the csv dataset builder was generating data using
hf://datasets/opendoc-pakistan/pakistan_government_securities_auctions/data/processed/pib_outstanding_securities.csv (at revision e9f88faed4e0b7f260d5e6f24e319b8c80bc6e02), ['hf://datasets/opendoc-pakistan/pakistan_government_securities_auctions@e9f88faed4e0b7f260d5e6f24e319b8c80bc6e02/data/processed/pib_auction_results.csv', 'hf://datasets/opendoc-pakistan/pakistan_government_securities_auctions@e9f88faed4e0b7f260d5e6f24e319b8c80bc6e02/data/processed/pib_outstanding_securities.csv', 'hf://datasets/opendoc-pakistan/pakistan_government_securities_auctions@e9f88faed4e0b7f260d5e6f24e319b8c80bc6e02/data/processed/pib_weighted_average_yields.csv', 'hf://datasets/opendoc-pakistan/pakistan_government_securities_auctions@e9f88faed4e0b7f260d5e6f24e319b8c80bc6e02/data/processed/tbill_auction_results.csv', 'hf://datasets/opendoc-pakistan/pakistan_government_securities_auctions@e9f88faed4e0b7f260d5e6f24e319b8c80bc6e02/data/processed/tbill_weighted_average_yields.csv', 'hf://datasets/opendoc-pakistan/pakistan_government_securities_auctions@e9f88faed4e0b7f260d5e6f24e319b8c80bc6e02/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.
auction_type string | isin string | tenor string | issue_date string | maturity_date string | auction_date string | settlement_date string | target_amount_million_pkr int64 | offered_competitive_face_value_million_pkr float64 | offered_competitive_realized_value_million_pkr float64 | accepted_competitive_face_value_million_pkr float64 | accepted_competitive_realized_value_million_pkr float64 | accepted_non_competitive_face_value_million_pkr float64 | accepted_non_competitive_realized_value_million_pkr float64 | short_sale_accommodated_face_value_million_pkr float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Reopen | PK03P1502273 | 03-Year | 2024-02-15 | 2027-02-15 | 2024-07-09 | 2024-07-10 | 75,000 | 114,884 | 114,638.464 | 58,484 | 58,788.686 | 4,727.5 | 4,752.110638 | 0 |
Reopen | PK05P1701292 | 05-Year | 2024-01-17 | 2029-01-17 | 2024-07-09 | 2024-07-10 | 60,000 | 53,500 | 53,411.329 | 17,250 | 17,640.468 | 605 | 618.694594 | 0 |
Reopen | PK10P1011338 | 10-Year | 2023-11-10 | 2033-11-10 | 2024-07-09 | 2024-07-10 | 55,000 | 37,250 | 35,429.061 | 0 | 0 | 0 | 0 | 0 |
Reopen | PK03P1502273 | 03-Year | 2024-02-15 | 2027-02-15 | 2024-07-31 | 2024-08-01 | 50,000 | 254,301.4 | 258,860.002 | 100,025 | 102,110.889 | 6,963.9 | 7,109.106957 | 0 |
Reopen | PK05P1701292 | 05-Year | 2024-01-17 | 2029-01-17 | 2024-07-31 | 2024-08-01 | 40,000 | 79,055.8 | 75,928.546 | 32,381 | 31,255.211 | 1,316.1 | 1,270.342522 | 0 |
Reopen | PK10P1011338 | 10-Year | 2023-11-10 | 2033-11-10 | 2024-07-31 | 2024-08-01 | 35,000 | 26,750 | 26,208.352 | 0 | 0 | 0 | 0 | 0 |
Fresh | PK02Z2009261 | 02-Year | 2024-09-20 | 2026-09-20 | 2024-09-19 | 2024-09-20 | 75,000 | 260,501.2 | 197,150.893 | 10,000 | 7,697.38 | 24,060.4 | 18,520.20418 | 9,250 |
Fresh | PK03P2009278 | 03-Year | 2024-09-20 | 2027-09-20 | 2024-09-19 | 2024-09-20 | 50,000 | 155,957 | 155,766.306 | 1,000 | 1,026.679 | 15,875.2 | 16,298.73446 | 9,500 |
Fresh | PK05P2009299 | 05-Year | 2024-09-20 | 2029-09-20 | 2024-09-19 | 2024-09-20 | 50,000 | 183,525.5 | 184,617.487 | 1,100 | 1,123.503 | 15,466.4 | 15,796.8551 | 9,450 |
Fresh | PK10P2009349 | 10-Year | 2024-09-20 | 2034-09-20 | 2024-09-19 | 2024-09-20 | 25,000 | 30,881 | 29,846.57 | 12,381 | 12,285.407 | 3,375 | 3,348.837 | 1,250 |
Reopen | PK02Z2009261 | 02-Year | 2024-09-20 | 2026-09-20 | 2024-10-17 | 2024-10-18 | 50,000 | 139,000 | 108,761.261 | 22,000 | 17,322.429 | 5,261.5 | 4,142.815655 | 5,750 |
Reopen | PK03P2009278 | 03-Year | 2024-09-20 | 2027-09-20 | 2024-10-17 | 2024-10-18 | 50,000 | 107,555 | 111,211.834 | 7,955 | 8,337.322 | 16,898.2 | 17,710.32292 | 5,550 |
Reopen | PK05P2009299 | 05-Year | 2024-09-20 | 2029-09-20 | 2024-10-17 | 2024-10-18 | 50,000 | 313,061.5 | 327,154.845 | 55,150 | 58,220.082 | 7,632.1 | 8,056.885356 | 5,250 |
Reopen | PK10P2009349 | 10-Year | 2024-09-20 | 2034-09-20 | 2024-10-17 | 2024-10-18 | 50,000 | 98,466.5 | 98,895.126 | 61,000 | 61,950.983 | 4,940 | 5,016.926908 | 0 |
Reopen | PK02Z2009261 | 02-Year | 2024-09-20 | 2026-09-20 | 2024-11-20 | 2024-11-21 | 100,000 | 385,120 | 307,029.112 | 132,670 | 106,090.6196 | 10,837.4 | 8,666.213609 | 6,000 |
Reopen | PK03P2009278 | 03-Year | 2024-09-20 | 2027-09-20 | 2024-11-20 | 2024-11-21 | 50,000 | 44,700 | 46,814.631 | 9,900 | 10,502.4101 | 7,757 | 8,228.989408 | 0 |
Reopen | PK05P2009299 | 05-Year | 2024-09-20 | 2029-09-20 | 2024-11-20 | 2024-11-21 | 75,000 | 392,750 | 418,930.485 | 145,800 | 156,108.6689 | 7,998.6 | 8,564.116222 | 9,700 |
Reopen | PK10P2009349 | 10-Year | 2024-09-20 | 2034-09-20 | 2024-11-20 | 2024-11-21 | 75,000 | 69,944.2 | 70,348.47 | 32,231.4 | 33,222.2351 | 3,057.2 | 3,151.188091 | 2,000 |
Reopen | PK02Z2009261 | 02-Year | 2024-09-20 | 2026-09-20 | 2024-12-18 | 2024-12-19 | 150,000 | 297,750.7 | 241,284.604 | 38,450 | 31,292.3115 | 20,194.2 | 16,434.90831 | 0 |
Reopen | PK03P2009278 | 03-Year | 2024-09-20 | 2027-09-20 | 2024-12-18 | 2024-12-19 | 50,000 | 66,980 | 71,209.134 | 26,030 | 27,864.9377 | 15,197.9 | 16,269.07276 | 0 |
Reopen | PK05P2009299 | 05-Year | 2024-09-20 | 2029-09-20 | 2024-12-18 | 2024-12-19 | 100,000 | 340,000 | 367,683.079 | 181,400 | 196,896.0528 | 3,781.1 | 4,104.095287 | 0 |
Reopen | PK10P2009349 | 10-Year | 2024-09-20 | 2034-09-20 | 2024-12-18 | 2024-12-19 | 50,000 | 119,625 | 124,972.312 | 95,875 | 100,988.2939 | 900 | 947.978498 | 0 |
Fresh | PK02Z1601274 | 02-Year | 2025-01-16 | 2027-01-16 | 2025-01-15 | 2025-01-16 | 100,000 | 716,072 | 569,903.54 | 143,125 | 114,274.3081 | 25,848 | 20,637.612 | 20,750 |
Fresh | PK03P1601281 | 03-Year | 2025-01-16 | 2028-01-16 | 2025-01-15 | 2025-01-16 | 50,000 | 400,504.5 | 398,723.347 | 75,000 | 75,203.325 | 12,980 | 13,015.202 | 5,750 |
Fresh | PK05P1601302 | 05-Year | 2025-01-16 | 2030-01-16 | 2025-01-15 | 2025-01-16 | 100,000 | 378,420 | 371,959.005 | 107,020 | 105,572.1128 | 5,526.1 | 5,451.332 | 7,000 |
Fresh | PK10P1601351 | 10-Year | 2025-01-16 | 2035-01-16 | 2025-01-15 | 2025-01-16 | 50,000 | 56,212.5 | 52,573.594 | 13,712.5 | 13,135.6088 | 1,500 | 1,436.867 | 2,500 |
Fresh | PK15P1601400 | 15-Year | 2025-01-16 | 2040-01-16 | 2025-01-15 | 2025-01-16 | 50,000 | 16,500 | 14,892.028 | null | null | null | 0 | 0 |
Reopen | PK02Z1601274 | 02-Year | 2025-01-16 | 2027-01-16 | 2025-02-12 | 2025-02-13 | 100,000 | 233,540.7 | 188,186.6492 | 51,250 | 41,434.08675 | 31,736.6 | 25,658.089 | 12,250 |
Reopen | PK03P1601281 | 03-Year | 2025-01-16 | 2028-01-16 | 2025-02-12 | 2025-02-13 | 50,000 | 44,550 | 44,427.8708 | 5,550 | 5,587.8868 | 2,073 | 2,106.383 | 0 |
Reopen | PK05P1601302 | 05-Year | 2025-01-16 | 2030-01-16 | 2025-02-12 | 2025-02-13 | 100,000 | 392,550 | 386,738.8693 | 223,250 | 220,292.79 | 10,172 | 10,131.676 | 9,000 |
Reopen | PK10P1601351 | 10-Year | 2025-01-16 | 2035-01-16 | 2025-02-12 | 2025-02-13 | 50,000 | 175,030 | 166,928.2007 | 128,530 | 123,818.8637 | 1,550 | 1,507.567 | 1,000 |
Reopen | PK15P1601400 | 15-Year | 2025-01-16 | 2040-01-16 | 2025-02-12 | 2025-02-13 | 50,000 | 65,000 | 60,975.105 | null | null | null | null | 0 |
Reopen | PK02Z1601274 | 02-Year | 2025-01-16 | 2027-01-16 | 2025-03-12 | 2025-03-13 | 100,000 | 115,500 | 93,318.8255 | null | null | 0 | 0 | 0 |
Reopen | PK03P1601281 | 03-Year | 2025-01-16 | 2028-01-16 | 2025-03-12 | 2025-03-13 | 50,000 | 117,505 | 116,447.0837 | null | null | 0 | 0 | 0 |
Reopen | PK05P1601302 | 05-Year | 2025-01-16 | 2030-01-16 | 2025-03-12 | 2025-03-13 | 100,000 | 149,800 | 145,668.7876 | 500 | 493.39925 | 5,520 | 5,549.596 | 0 |
Reopen | PK10P1601351 | 10-Year | 2025-01-16 | 2035-01-16 | 2025-03-12 | 2025-03-13 | 50,000 | 78,502 | 72,974.12927 | 9,002 | 8,619.236267 | 800 | 780.834 | 0 |
Reopen | PK15P1601400 | 15-Year | 2025-01-16 | 2040-01-16 | 2025-03-12 | 2025-03-13 | 50,000 | 15,000 | 13,883.805 | null | null | 0 | 0 | 0 |
Reopen | PK02Z1601274 | 02-Year | 2025-01-16 | 2027-01-16 | 2025-04-09 | 2025-04-10 | 100,000 | 120,250 | 98,267.2 | 37,000 | 30,325.1915 | 4,615 | 3,782.449 | 0 |
Reopen | PK03P1601281 | 03-Year | 2025-01-16 | 2028-01-16 | 2025-04-09 | 2025-04-10 | 50,000 | 165,840 | 169,820.526 | 38,000 | 39,164.0195 | 582.1 | 599.931 | 0 |
Reopen | PK05P1601302 | 05-Year | 2025-01-16 | 2030-01-16 | 2025-04-09 | 2025-04-10 | 100,000 | 306,430 | 310,154.677 | 93,180 | 94,795.9766 | 5,368 | 5,461.088 | 0 |
Reopen | PK10P1601351 | 10-Year | 2025-01-16 | 2035-01-16 | 2025-04-09 | 2025-04-10 | 50,000 | 287,623 | 281,914.199 | 247,623 | 243,754.8448 | 763 | 751.081 | 0 |
Reopen | PK15P1601400 | 15-Year | 2025-01-16 | 2040-01-16 | 2025-04-09 | 2025-04-10 | 50,000 | 7,500 | 7,112.437 | null | null | null | null | 0 |
Reopen | PK02Z1601274 | 02-Year | 2025-01-16 | 2027-01-16 | 2025-05-07 | 2025-05-08 | 100,000 | 157,000 | 130,062.4785 | 104,000 | 86,307.811 | 1,591.4 | 1,320.673 | 0 |
Reopen | PK03P1601281 | 03-Year | 2025-01-16 | 2028-01-16 | 2025-05-07 | 2025-05-08 | 50,000 | 279,000 | 280,320.4225 | 71,000 | 71,527.806 | 762.7 | 796.687 | 0 |
Reopen | PK05P1601302 | 05-Year | 2025-01-16 | 2030-01-16 | 2025-05-07 | 2025-05-08 | 50,000 | 203,300 | 201,472.6635 | 66,300 | 66,014.5715 | 2,845 | 2,938.376 | 0 |
Reopen | PK10P1601351 | 10-Year | 2025-01-16 | 2035-01-16 | 2025-05-07 | 2025-05-08 | 50,000 | 185,968 | 178,104.0142 | 53,000 | 51,415.559 | 20 | 20.144 | 0 |
Reopen | PK15P1601400 | 15-Year | 2025-01-16 | 2040-01-16 | 2025-05-07 | 2025-05-08 | 50,000 | 30,000 | 28,061.97 | null | null | null | null | null |
Reopen | PK02Z1601274 | 02-Year | 2025-01-16 | 2027-01-16 | 2025-06-18 | 2025-06-19 | 100,000 | 276,030.6 | 232,395.1283 | 59,000 | 49,787.571 | 4,135 | 3,489 | 0 |
Reopen | PK03P1601281 | 03-Year | 2025-01-16 | 2028-01-16 | 2025-06-18 | 2025-06-19 | 50,000 | 188,000 | 189,654.867 | 35,000 | 37,256.2053 | 2,013 | 2,142.763 | 0 |
Reopen | PK05P1601302 | 05-Year | 2025-01-16 | 2030-01-16 | 2025-06-18 | 2025-06-19 | 50,000 | 375,489 | 378,231.251 | 123,209 | 130,783.9802 | 7,224 | 7,668.122 | 0 |
Reopen | PK10P1601351 | 10-Year | 2025-01-16 | 2035-01-16 | 2025-06-18 | 2025-06-19 | 50,000 | 87,065.1 | 83,805.70799 | 36,588.1 | 37,660.8384 | 1,609 | 1,656.151 | 0 |
Fresh | PK15Z1906402 | 15-Year | 2025-06-19 | 2040-06-19 | 2025-06-18 | 2025-06-19 | 50,000 | 290,500 | 48,276.6425 | 288,000 | 47,921.76 | null | null | null |
Fresh | PK02Z1707279 | 02-Year | 2025-07-17 | 2027-07-17 | 2025-07-16 | 2025-07-17 | 100,000 | 179,750 | 145,841.0462 | 13,300 | 10,829.24275 | 6,967.9 | 5,673 | 19,000 |
Fresh | PK03P1707286 | 03-Year | 2025-07-17 | 2028-07-17 | 2025-07-16 | 2025-07-17 | 50,000 | 134,104.6 | 131,568.8538 | 19,354.6 | 19,110.96555 | 15,910.6 | 15,710 | 6,500 |
Fresh | PK05P1707307 | 05-Year | 2025-07-17 | 2030-07-17 | 2025-07-16 | 2025-07-17 | 50,000 | 337,950 | 333,608.8953 | 247,000 | 244,303.158 | 7,840 | 7,754 | 0 |
Fresh | PK10P1707356 | 10-Year | 2025-07-17 | 2035-07-17 | 2025-07-16 | 2025-07-17 | 50,000 | 339,122.5 | 321,163.5826 | 159.3 | 152.956515 | 1,290 | 1,239 | 5,000 |
Reopen | PK15Z1906402 | 15-Year | 2025-06-19 | 2040-06-19 | 2025-07-16 | 2025-07-17 | 50,000 | 704,920 | 118,317.7884 | null | 0 | 0 | 0 | 0 |
Reopen | PK02Z1707279 | 02-Year | 2025-07-17 | 2027-07-17 | 2025-08-01 | 2025-08-04 | 100,000 | 150,250 | 122,140.3983 | 20,250 | 16,504.58975 | 2,290 | 1,866 | 5,500 |
Reopen | PK03P1707286 | 03-Year | 2025-07-17 | 2028-07-17 | 2025-08-01 | 2025-08-04 | 50,000 | 273,779 | 268,972.28 | 42,279 | 41,872.7957 | 1,811.7 | 1,794.295 | 2,750 |
Reopen | PK05P1707307 | 05-Year | 2025-07-17 | 2030-07-17 | 2025-08-01 | 2025-08-04 | 50,000 | 234,981 | 231,874.491 | 39,881 | 39,525.2236 | 3,493.8 | 3,462.63 | 0 |
Reopen | PK10P1707356 | 10-Year | 2025-07-17 | 2035-07-17 | 2025-08-01 | 2025-08-04 | 50,000 | 342,607 | 330,262.667 | 214,030 | 207,347.9677 | 1,560.3 | 1,511.589 | 5,000 |
Reopen | PK15Z1906402 | 15-Year | 2025-06-19 | 2040-06-19 | 2025-08-01 | 2025-08-04 | 50,000 | 1,032,500 | 180,097.54 | 300,000 | 52,424.5 | 87.5 | 15.291 | 0 |
Reopen | PK02Z1707279 | 02-Year | 2025-07-17 | 2027-07-17 | 2025-09-05 | 2025-09-08 | 100,000 | 91,302 | 74,904.81189 | 39,450 | 32,422.53055 | 3,839 | 3,155 | 0 |
Reopen | PK03P1707286 | 03-Year | 2025-07-17 | 2028-07-17 | 2025-09-05 | 2025-09-08 | 50,000 | 100,434 | 99,961.505 | 5,584 | 5,585.1917 | 2,561.4 | 2,561.944 | 0 |
Reopen | PK05P1707307 | 05-Year | 2025-07-17 | 2030-07-17 | 2025-09-05 | 2025-09-08 | 100,000 | 236,580 | 236,007.542 | 108,850 | 108,905.3074 | 6,143.6 | 6,146.717 | 0 |
Reopen | PK10P1707356 | 10-Year | 2025-07-17 | 2035-07-17 | 2025-09-05 | 2025-09-08 | 100,000 | 356,792.2 | 349,903.732 | 205,000 | 202,426.1375 | 2,855.3 | 2,819.442 | 0 |
Reopen | PK15Z1906402 | 15-Year | 2025-06-19 | 2040-06-19 | 2025-09-05 | 2025-09-08 | 50,000 | 497,500 | 88,129.8975 | 280,000 | 49,896.56 | 0 | 0 | 0 |
Reopen | PK02Z1707279 | 02-Year | 2025-07-17 | 2027-07-17 | 2025-10-14 | 2025-10-15 | 100,000 | 164,100 | 135,750.38 | 12,080 | 10,009.1758 | 5,473 | 4,534.786 | 0 |
Reopen | PK03P1707286 | 03-Year | 2025-07-17 | 2028-07-17 | 2025-10-14 | 2025-10-15 | 50,000 | 111,500 | 111,919.903 | 11,500 | 11,566.674 | 2,358.5 | 2,372.173 | 0 |
Reopen | PK05P1707307 | 05-Year | 2025-07-17 | 2030-07-17 | 2025-10-14 | 2025-10-15 | 100,000 | 220,450.5 | 221,233.877 | 5,938.4 | 5,991.1582 | 6,974.1 | 7,036.059 | 0 |
Reopen | PK10P1707356 | 10-Year | 2025-07-17 | 2035-07-17 | 2025-10-14 | 2025-10-15 | 150,000 | 522,799 | 522,533.251 | 333,402 | 334,882.3955 | 4,000 | 4,017.752 | 0 |
Reopen | PK15Z1906402 | 15-Year | 2025-06-19 | 2040-06-19 | 2025-10-14 | 2025-10-15 | 50,000 | 517,500 | 93,392.545 | 125,000 | 22,765.455 | 6 | 1.092736 | 0 |
Reopen | PK02Z1707279 | 02-Year | 2025-07-17 | 2027-07-17 | 2025-11-05 | 2025-11-06 | 50,000 | 160,100 | 133,117.965 | 59,600 | 49,607.8575 | 1,675.1 | 1,394.263794 | 2,500 |
Reopen | PK03P1707286 | 03-Year | 2025-07-17 | 2028-07-17 | 2025-11-05 | 2025-11-06 | 100,000 | 319,650 | 321,361.171 | 137,150 | 138,579.5174 | 2,688 | 2,716.017082 | 5,000 |
Reopen | PK05P1707307 | 05-Year | 2025-07-17 | 2030-07-17 | 2025-11-05 | 2025-11-06 | 100,000 | 179,350 | 181,062.171 | 90,700 | 91,841.7558 | 6,775 | 6,860.285508 | 0 |
Reopen | PK10P1707356 | 10-Year | 2025-07-17 | 2035-07-17 | 2025-11-05 | 2025-11-06 | 100,000 | 239,973.8 | 239,810.142 | 144,473.8 | 145,945.8869 | 2,080 | 2,101.193744 | 0 |
Reopen | PK15Z1906402 | 15-Year | 2025-06-19 | 2040-06-19 | 2025-11-05 | 2025-11-06 | 50,000 | 539,500 | 98,486.3345 | 340,000 | 62,796.3 | 10.6 | 1.957767 | 0 |
Reopen | PK02Z1707279 | 02-Year | 2025-07-17 | 2027-07-17 | 2025-12-17 | 2025-12-18 | 75,000 | 684,553 | 581,615.32 | 100,000 | 85,112.85 | 7,370 | 6,272.817045 | 9,500 |
Reopen | PK03P1707286 | 03-Year | 2025-07-17 | 2028-07-17 | 2025-12-17 | 2025-12-18 | 100,000 | 499,100 | 515,677.94 | 75,000 | 77,725.966 | 9,340.1 | 9,679.577267 | null |
Reopen | PK05P1707307 | 05-Year | 2025-07-17 | 2030-07-17 | 2025-12-17 | 2025-12-18 | 75,000 | 258,360 | 267,834.448 | 94,560 | 98,435.529 | 8,800 | 9,160.666827 | null |
Reopen | PK10P1707356 | 10-Year | 2025-07-17 | 2035-07-17 | 2025-12-17 | 2025-12-18 | 100,000 | 452,570 | 466,935.111 | 101,050 | 104,944.516 | 3,147.1 | 3,268.39076 | null |
Reopen | PK15Z1906402 | 15-Year | 2025-06-19 | 2040-06-19 | 2025-12-17 | 2025-12-18 | 50,000 | 593,705 | 112,058.506 | 36,200 | 7,002.7271 | null | null | null |
Fresh | PK02Z1501284 | 02-Year | 2026-01-15 | 2028-01-15 | 2026-01-14 | 2026-01-15 | 100,000 | 313,750 | 257,980.578 | 93,000 | 76,603.414 | 8,736.7 | 7,196.358633 | 12,000 |
Fresh | PK03P1501291 | 03-Year | 2026-01-15 | 2029-01-15 | 2026-01-14 | 2026-01-15 | 100,000 | 499,650 | 499,821.624 | 125,000 | 125,407.185 | 17,175.7 | 17,231.64125 | 14,420 |
Fresh | PK05P1501312 | 05-Year | 2026-01-15 | 2031-01-15 | 2026-01-14 | 2026-01-15 | 100,000 | 312,510 | 311,151.268 | 106,000 | 106,154.5483 | 11,065 | 11,081.09958 | 16,000 |
Fresh | PK10P1501361 | 10-Year | 2026-01-15 | 2036-01-15 | 2026-01-14 | 2026-01-15 | 100,000 | 271,000 | 266,753.452 | 126,000 | 126,092.85 | 4,925 | 4,928.619875 | 12,000 |
Fresh | PK15Z1501419 | 15-Year | 2026-01-15 | 2041-01-15 | 2026-01-14 | 2026-01-15 | 50,000 | 666,501 | 122,495.3514 | null | 0 | null | null | null |
Reopen | PK02Z1501284 | 02-Year | 2026-01-15 | 2028-01-15 | 2026-02-06 | 2026-02-09 | 100,000 | 140,000 | 115,524.4 | 32,000 | 26,470.383 | 5,258 | 4,349.414807 | 11,000 |
Reopen | PK03P1501291 | 03-Year | 2026-01-15 | 2029-01-15 | 2026-02-06 | 2026-02-09 | 100,000 | 295,975 | 297,539.249 | 150,000 | 151,188.7244 | 10,646.2 | 10,730.56932 | 9,650 |
Reopen | PK05P1501312 | 05-Year | 2026-01-15 | 2031-01-15 | 2026-02-06 | 2026-02-09 | 100,000 | 364,350 | 362,426.164 | 207,600 | 207,467.1979 | 7,170 | 7,165.413338 | 3,000 |
Reopen | PK10P1501361 | 10-Year | 2026-01-15 | 2036-01-15 | 2026-02-06 | 2026-02-09 | 100,000 | 132,750 | 130,383.711 | 58,750 | 58,578.5752 | 1,900 | 1,894.456049 | 1,000 |
Reopen | PK15Z1501419 | 15-Year | 2026-01-15 | 2041-01-15 | 2026-02-06 | 2026-02-09 | 50,000 | 811,500 | 150,995.117 | 53,000 | 10,524.303 | null | null | null |
Reopen | PK02Z1501284 | 02-Year | 2026-01-15 | 2028-01-15 | 2026-03-26 | 2026-03-27 | 100,000 | 91,000 | 73,246.649 | 38,000 | 30,763.22 | 4,080 | 3,303 | null |
Reopen | PK03P1501291 | 03-Year | 2026-01-15 | 2029-01-15 | 2026-03-26 | 2026-03-27 | 100,000 | 86,250 | 83,288.715 | 60,750 | 59,018.5 | 4,763.9 | 4,628.079263 | null |
Reopen | PK05P1501312 | 05-Year | 2026-01-15 | 2031-01-15 | 2026-03-26 | 2026-03-27 | 50,000 | 105,700 | 99,082.135 | 29,700 | 28,264.7716 | 3,940 | 3,750 | null |
Reopen | PK10P1501361 | 10-Year | 2026-01-15 | 2036-01-15 | 2026-03-26 | 2026-03-27 | 100,000 | 145,500 | 128,893.707 | null | null | null | null | null |
Reopen | PK15Z1501419 | 15-Year | 2026-01-15 | 2041-01-15 | 2026-03-26 | 2026-03-27 | 50,000 | 390,000 | 67,621.97 | 325,000 | 57,578.95 | null | null | null |
Reopen | PK02Z1501284 | 02-Year | 2026-01-15 | 2028-01-15 | 2026-04-28 | 2026-04-29 | 50,000 | 52,004 | 42,003.722 | null | null | null | null | null |
Reopen | PK03P1501291 | 03-Year | 2026-01-15 | 2029-01-15 | 2026-04-28 | 2026-04-29 | 50,000 | 54,500 | 52,720.563 | null | null | null | null | null |
Reopen | PK05P1501312 | 05-Year | 2026-01-15 | 2031-01-15 | 2026-04-28 | 2026-04-29 | 50,000 | 212,171 | 199,383.6 | null | null | null | null | null |
End of preview.