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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 10 new columns ({'Symbol', 'Company', 'Date of Operation', 'LTP', 'S.N.', 'Paid-up (Rs)', 'As Of:', 'Market Capitalization (Rs)', 'Total Paid-up Capital (Rs)', 'Listed Share'}) and 9 missing columns ({'published_date', 'open', 'status', 'high', 'traded_quantity', 'low', 'traded_amount', 'close', 'per_change'}).
This happened while the csv dataset builder was generating data using
hf://datasets/w4ashabii/bank_data/Bank Nepse General.csv (at revision 58188e96cceb851bddc32e454034573cb2190057), ['hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/ADBL.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/Bank Nepse General.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/CZBIL.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/EBL.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/GBIME.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/HBL.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/KBL.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/Key Financial indicators of Commerical banks (quaterly) - Sheet 1.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/MBL.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/NABIL.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/NBB.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/NBL.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/NICA.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/PCBL.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/PRVU.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/SANIMA.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/SBI.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/SBL.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/SCB.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/python3.12/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
S.N.: int64
Symbol: string
Company: string
Listed Share: string
Paid-up (Rs): int64
Total Paid-up Capital (Rs): string
Market Capitalization (Rs): string
Date of Operation: string
LTP: double
As Of:: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1493
to
{'published_date': Value('string'), 'open': Value('float64'), 'high': Value('float64'), 'low': Value('float64'), 'close': Value('float64'), 'per_change': Value('float64'), 'traded_quantity': Value('float64'), 'traded_amount': Value('float64'), 'status': 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 1361, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 940, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1839, 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 10 new columns ({'Symbol', 'Company', 'Date of Operation', 'LTP', 'S.N.', 'Paid-up (Rs)', 'As Of:', 'Market Capitalization (Rs)', 'Total Paid-up Capital (Rs)', 'Listed Share'}) and 9 missing columns ({'published_date', 'open', 'status', 'high', 'traded_quantity', 'low', 'traded_amount', 'close', 'per_change'}).
This happened while the csv dataset builder was generating data using
hf://datasets/w4ashabii/bank_data/Bank Nepse General.csv (at revision 58188e96cceb851bddc32e454034573cb2190057), ['hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/ADBL.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/Bank Nepse General.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/CZBIL.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/EBL.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/GBIME.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/HBL.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/KBL.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/Key Financial indicators of Commerical banks (quaterly) - Sheet 1.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/MBL.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/NABIL.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/NBB.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/NBL.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/NICA.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/PCBL.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/PRVU.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/SANIMA.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/SBI.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/SBL.csv', 'hf://datasets/w4ashabii/bank_data@58188e96cceb851bddc32e454034573cb2190057/SCB.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.
published_date string | open float64 | high float64 | low float64 | close float64 | per_change float64 | traded_quantity float64 | traded_amount float64 | status int64 |
|---|---|---|---|---|---|---|---|---|
2010-09-16 | 117 | 122 | 116 | 120 | null | 5,280 | 0 | 0 |
2010-09-19 | 120 | 120 | 116 | 118 | -1.67 | 2,648 | 0 | 0 |
2010-09-20 | 118 | 119 | 116 | 118 | 0 | 2,346 | 0 | 0 |
2010-09-21 | 118 | 118 | 115 | 116 | -1.69 | 7,160 | 0 | 0 |
2010-09-23 | 116 | 120 | 117 | 120 | 3.45 | 8,417 | 0 | 0 |
2010-09-26 | 120 | 122 | 117 | 121 | 0.83 | 9,541 | 0 | 0 |
2010-09-27 | 121 | 122 | 116 | 119 | -1.65 | 10,433 | 0 | 0 |
2010-09-28 | 119 | 120 | 119 | 119 | 0 | 2,682 | 0 | 0 |
2010-09-29 | 119 | 120 | 117 | 119 | 0 | 2,561 | 0 | 0 |
2010-09-30 | 119 | 120 | 117 | 119 | 0 | 1,912 | 0 | 0 |
2010-10-03 | 119 | 121 | 117 | 119 | 0 | 8,420 | 0 | 0 |
2010-10-04 | 119 | 123 | 119 | 123 | 3.36 | 13,295 | 0 | 0 |
2010-10-05 | 123 | 130 | 121 | 130 | 5.69 | 7,513 | 0 | 0 |
2010-10-06 | 130 | 130 | 124 | 126 | -3.08 | 6,423 | 0 | 0 |
2010-10-07 | 126 | 134 | 126 | 132 | 4.76 | 9,889 | 0 | 0 |
2010-10-10 | 132 | 136 | 132 | 135 | 2.27 | 2,830 | 0 | 0 |
2010-10-11 | 135 | 135 | 129 | 130 | -3.7 | 4,120 | 0 | 0 |
2010-10-12 | 130 | 133 | 129 | 133 | 2.31 | 881 | 0 | 0 |
2010-10-13 | 133 | 135 | 133 | 134 | 0.75 | 890 | 0 | 0 |
2010-10-21 | 134 | 134 | 131 | 134 | 0 | 590 | 0 | 0 |
2010-10-24 | 134 | 135 | 130 | 134 | 0 | 2,628 | 0 | 0 |
2010-10-25 | 134 | 137 | 132 | 136 | 1.49 | 3,285 | 0 | 0 |
2010-10-26 | 136 | 138 | 134 | 135 | -0.74 | 3,381 | 0 | 0 |
2010-10-27 | 135 | 135 | 132 | 135 | 0 | 9,094 | 0 | 0 |
2010-10-28 | 135 | 148 | 135 | 145 | 7.41 | 21,662 | 0 | 0 |
2010-10-31 | 145 | 149 | 138 | 145 | 0 | 8,172 | 0 | 0 |
2010-11-01 | 145 | 147 | 141 | 146 | 0.69 | 16,240 | 0 | 0 |
2010-11-02 | 146 | 147 | 142 | 145 | -0.68 | 6,760 | 0 | 0 |
2010-11-03 | 145 | 151 | 146 | 149 | 2.76 | 9,278 | 0 | 0 |
2010-11-04 | 149 | 154 | 147 | 153 | 2.68 | 5,401 | 0 | 0 |
2010-11-09 | 153 | 159 | 148 | 159 | 3.92 | 5,893 | 0 | 0 |
2010-11-10 | 159 | 167 | 151 | 161 | 1.26 | 7,474 | 0 | 0 |
2010-11-11 | 161 | 169 | 160 | 166 | 3.11 | 6,535 | 0 | 0 |
2010-11-14 | 166 | 172 | 162 | 163 | -1.81 | 3,445 | 0 | 0 |
2010-11-15 | 163 | 162 | 158 | 160 | -1.84 | 3,983 | 0 | 0 |
2010-11-16 | 160 | 164 | 159 | 162 | 1.25 | 2,641 | 0 | 0 |
2010-11-18 | 162 | 165 | 160 | 161 | -0.62 | 3,731 | 0 | 0 |
2010-11-21 | 161 | 164 | 160 | 162 | 0.62 | 14,538 | 0 | 0 |
2010-11-22 | 162 | 165 | 158 | 162 | 0 | 7,358 | 0 | 0 |
2010-11-23 | 162 | 166 | 160 | 163 | 0.62 | 10,742 | 0 | 0 |
2010-11-24 | 163 | 166 | 161 | 165 | 1.23 | 4,943 | 0 | 0 |
2010-11-25 | 165 | 171 | 160 | 171 | 3.64 | 11,689 | 0 | 0 |
2010-11-28 | 171 | 168 | 160 | 160 | -6.43 | 4,635 | 0 | 0 |
2010-11-29 | 160 | 163 | 155 | 156 | -2.5 | 2,778 | 0 | 0 |
2010-11-30 | 156 | 160 | 153 | 155 | -0.64 | 5,139 | 0 | 0 |
2010-12-01 | 155 | 157 | 148 | 152 | -1.94 | 4,971 | 0 | 0 |
2010-12-02 | 152 | 157 | 144 | 144 | -5.26 | 2,779 | 0 | 0 |
2010-12-05 | 144 | 144 | 138 | 138 | -4.17 | 9,343 | 0 | 0 |
2010-12-06 | 138 | 145 | 138 | 145 | 5.07 | 1,098 | 0 | 0 |
2010-12-07 | 145 | 143 | 131 | 138 | -4.83 | 4,186 | 0 | 0 |
2010-12-08 | 138 | 136 | 133 | 135 | -2.17 | 3,925 | 0 | 0 |
2010-12-09 | 135 | 139 | 133 | 137 | 1.48 | 5,690 | 0 | 0 |
2010-12-12 | 137 | 138 | 132 | 137 | 0 | 11,296 | 0 | 0 |
2010-12-13 | 137 | 137 | 134 | 137 | 0 | 7,755 | 0 | 0 |
2010-12-14 | 137 | 139 | 137 | 137 | 0 | 6,063 | 0 | 0 |
2010-12-15 | 137 | 137 | 133 | 134 | -2.19 | 3,341 | 0 | 0 |
2010-12-16 | 134 | 136 | 132 | 136 | 1.49 | 3,645 | 0 | 0 |
2010-12-19 | 136 | 136 | 131 | 136 | 0 | 6,516 | 0 | 0 |
2010-12-20 | 136 | 138 | 134 | 134 | -1.47 | 8,991 | 0 | 0 |
2010-12-22 | 134 | 136 | 133 | 134 | 0 | 731 | 0 | 0 |
2010-12-23 | 134 | 137 | 134 | 135 | 0.75 | 3,227 | 0 | 0 |
2010-12-26 | 135 | 140 | 135 | 140 | 3.7 | 2,626 | 0 | 0 |
2010-12-27 | 140 | 142 | 138 | 140 | 0 | 978 | 0 | 0 |
2010-12-28 | 140 | 142 | 139 | 142 | 1.43 | 3,520 | 0 | 0 |
2010-12-29 | 142 | 144 | 142 | 143 | 0.7 | 1,534 | 0 | 0 |
2011-01-02 | 143 | 145 | 134 | 136 | -4.9 | 10,768 | 0 | 0 |
2011-01-03 | 136 | 140 | 135 | 137 | 0.74 | 4,292 | 0 | 0 |
2011-01-03 | 137 | 131 | 124 | 131 | -4.38 | 4,755 | 0 | 0 |
2011-01-04 | 131 | 139 | 133 | 139 | 6.11 | 5,048 | 0 | 0 |
2011-01-05 | 139 | 140 | 132 | 132 | -5.04 | 5,588 | 0 | 0 |
2011-01-06 | 132 | 140 | 132 | 140 | 6.06 | 590 | 0 | 0 |
2011-01-09 | 140 | 140 | 136 | 139 | -0.71 | 1,532 | 0 | 0 |
2011-01-10 | 139 | 142 | 137 | 141 | 1.44 | 7,614 | 0 | 0 |
2011-01-11 | 141 | 142 | 136 | 142 | 0.71 | 3,488 | 0 | 0 |
2011-01-12 | 142 | 141 | 139 | 141 | -0.7 | 3,193 | 0 | 0 |
2011-01-13 | 141 | 140 | 138 | 138 | -2.13 | 3,867 | 0 | 0 |
2011-01-16 | 138 | 140 | 134 | 136 | -1.45 | 4,369 | 0 | 0 |
2011-01-17 | 136 | 136 | 132 | 135 | -0.74 | 7,990 | 0 | 0 |
2011-01-18 | 135 | 137 | 132 | 135 | 0 | 11,563 | 0 | 0 |
2011-01-19 | 135 | 137 | 133 | 135 | 0 | 4,558 | 0 | 0 |
2011-01-20 | 135 | 135 | 133 | 135 | 0 | 3,307 | 0 | 0 |
2011-01-23 | 135 | 137 | 134 | 137 | 1.48 | 1,635 | 0 | 0 |
2011-01-24 | 137 | 143 | 137 | 143 | 4.38 | 3,781 | 0 | 0 |
2011-01-31 | 143 | 143 | 143 | 143 | 0 | 148 | 0 | 0 |
2011-02-01 | 143 | 143 | 138 | 141 | -1.4 | 9,665 | 0 | 0 |
2011-02-02 | 141 | 143 | 135 | 137 | -2.84 | 2,411 | 0 | 0 |
2011-02-03 | 137 | 140 | 137 | 140 | 2.19 | 4,730 | 0 | 0 |
2011-02-06 | 140 | 147 | 138 | 139 | -0.71 | 3,810 | 0 | 0 |
2011-02-07 | 139 | 142 | 139 | 141 | 1.44 | 5,215 | 0 | 0 |
2011-02-08 | 141 | 144 | 141 | 143 | 1.42 | 3,470 | 0 | 0 |
2011-02-09 | 143 | 145 | 140 | 145 | 1.4 | 2,377 | 0 | 0 |
2011-02-10 | 145 | 146 | 142 | 142 | -2.07 | 1,568 | 0 | 0 |
2011-02-13 | 142 | 142 | 137 | 138 | -2.82 | 2,561 | 0 | 0 |
2011-02-14 | 138 | 141 | 135 | 138 | 0 | 5,028 | 0 | 0 |
2011-02-15 | 138 | 139 | 138 | 138 | 0 | 1,835 | 0 | 0 |
2011-02-16 | 138 | 141 | 136 | 139 | 0.72 | 2,565 | 0 | 0 |
2011-02-17 | 139 | 140 | 136 | 139 | 0 | 1,957 | 0 | 0 |
2011-02-20 | 139 | 139 | 138 | 139 | 0 | 3,920 | 0 | 0 |
2011-02-21 | 139 | 139 | 135 | 135 | -2.88 | 2,290 | 0 | 0 |
2011-02-22 | 135 | 137 | 133 | 133 | -1.48 | 1,587 | 0 | 0 |
Dataset Description: w4ashabii/bank_data
Summary
This dataset contains financial data for commercial banks in Nepal, including daily stock prices (OHLC), static stock summary metrics, and quarterly financial indicators.
Contents
1. Daily Stock Price Data (15 files)
Files: ADBL.csv, CZBIL.csv, EBL.csv, GBIME.csv, HBL.csv, KBL.csv, MBL.csv, NABIL.csv, NBB.csv, NBL.csv, NICA.csv, PCBL.csv, PRVU.csv, SANIMA.csv
Columns:
- published_date: Trading date (YYYY-MM-DD)
- open: Opening price (Rs)
- high: Highest price (Rs)
- low: Lowest price (Rs)
- close: Closing price (Rs)
- per_change: Percentage change
- traded_quantity: Number of shares traded
- traded_amount: Total traded amount (Rs) [often zero in preview]
- status: Integer (0 or 1)
2. Static Stock Summary (1 file)
File: Bank Nepse General.csv
Columns:
- S.N., Symbol, Company, Listed Share, Paid-up (Rs), Total Paid-up Capital (Rs), Market Capitalization (Rs), Date of Operation, LTP, As Of
3. Quarterly Financial Indicators (1 file)
File: Key Financial indicators of Commerical banks (quaterly) - Sheet 1.csv
Key metrics: Solvency Core Capital, CAR (%), CCDRatio, NPL (%), Base Rate, Spread, SLR, Net Liquidity, etc.
Known Issues
- Column mismatch between files prevents using load_dataset() directly
- traded_amount often contains zeros (possibly missing data)
Loading (use pandas separately)
import pandas as pd
adbl = pd.read_csv("https://huggingface.co/datasets/w4ashabii/bank_data/resolve/main/ADBL.csv")
summary = pd.read_csv("https://huggingface.co/datasets/w4ashabii/bank_data/resolve/main/Bank%20Nepse%20General.csv")
quarterly = pd.read_csv("https://huggingface.co/datasets/w4ashabii/bank_data/resolve/main/Key%20Financial%20indicators%20of%20Commerical%20banks%20(quaterly)%20-%20Sheet%201.csv")
Credits
This dataset is derived from the nepse-data repository by Aabishkar Wagle. If you use this dataset, please cite the original source:
author = {Aabishkar Wagle},
title = {nepse-data: Historical and current datasets of Nepal Stock Market listed companies},
year = {2026},
url = {https://github.com/Aabishkar2/nepse-data}
}
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