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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 14 new columns ({'HIGH_PRICE', 'PRICE_CHANGE', 'CLOSE_PRICE', 'VOLUME', 'STOCK', 'MA_30', 'LOW_PRICE', 'RETURN', 'MA_7', 'MOMENTUM', 'TREND', 'VOLATILITY_7D', 'DATE', 'OPEN_PRICE'}) and 7 missing columns ({'Close', 'Volume', 'Scrip', 'Date', 'Low', 'High', 'Open'}).
This happened while the csv dataset builder was generating data using
hf://datasets/mahfuzmee-eng/dse_clean_master_dataset_2026/dse_clean_master_dataset_2026.csv (at revision d2426cf4293a273e6be7eb95e44d1eb56f9471e8), [/tmp/hf-datasets-cache/medium/datasets/60061653731957-config-parquet-and-info-mahfuzmee-eng-dse_clean_m-d4c2958f/hub/datasets--mahfuzmee-eng--dse_clean_master_dataset_2026/snapshots/d2426cf4293a273e6be7eb95e44d1eb56f9471e8/dse_clean_master_dataset_2025.csv (origin=hf://datasets/mahfuzmee-eng/dse_clean_master_dataset_2026@d2426cf4293a273e6be7eb95e44d1eb56f9471e8/dse_clean_master_dataset_2025.csv), /tmp/hf-datasets-cache/medium/datasets/60061653731957-config-parquet-and-info-mahfuzmee-eng-dse_clean_m-d4c2958f/hub/datasets--mahfuzmee-eng--dse_clean_master_dataset_2026/snapshots/d2426cf4293a273e6be7eb95e44d1eb56f9471e8/dse_clean_master_dataset_2026.csv (origin=hf://datasets/mahfuzmee-eng/dse_clean_master_dataset_2026@d2426cf4293a273e6be7eb95e44d1eb56f9471e8/dse_clean_master_dataset_2026.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 1800, 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 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
DATE: string
STOCK: string
OPEN_PRICE: double
HIGH_PRICE: double
LOW_PRICE: double
CLOSE_PRICE: double
VOLUME: int64
RETURN: double
VOLATILITY_7D: double
PRICE_CHANGE: double
MA_7: double
MA_30: double
TREND: bool
MOMENTUM: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1881
to
{'Date': Value('string'), 'Scrip': Value('string'), 'Open': Value('float64'), 'High': Value('float64'), 'Low': Value('float64'), 'Close': Value('float64'), 'Volume': 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 1347, 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 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, 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 1802, 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 14 new columns ({'HIGH_PRICE', 'PRICE_CHANGE', 'CLOSE_PRICE', 'VOLUME', 'STOCK', 'MA_30', 'LOW_PRICE', 'RETURN', 'MA_7', 'MOMENTUM', 'TREND', 'VOLATILITY_7D', 'DATE', 'OPEN_PRICE'}) and 7 missing columns ({'Close', 'Volume', 'Scrip', 'Date', 'Low', 'High', 'Open'}).
This happened while the csv dataset builder was generating data using
hf://datasets/mahfuzmee-eng/dse_clean_master_dataset_2026/dse_clean_master_dataset_2026.csv (at revision d2426cf4293a273e6be7eb95e44d1eb56f9471e8), [/tmp/hf-datasets-cache/medium/datasets/60061653731957-config-parquet-and-info-mahfuzmee-eng-dse_clean_m-d4c2958f/hub/datasets--mahfuzmee-eng--dse_clean_master_dataset_2026/snapshots/d2426cf4293a273e6be7eb95e44d1eb56f9471e8/dse_clean_master_dataset_2025.csv (origin=hf://datasets/mahfuzmee-eng/dse_clean_master_dataset_2026@d2426cf4293a273e6be7eb95e44d1eb56f9471e8/dse_clean_master_dataset_2025.csv), /tmp/hf-datasets-cache/medium/datasets/60061653731957-config-parquet-and-info-mahfuzmee-eng-dse_clean_m-d4c2958f/hub/datasets--mahfuzmee-eng--dse_clean_master_dataset_2026/snapshots/d2426cf4293a273e6be7eb95e44d1eb56f9471e8/dse_clean_master_dataset_2026.csv (origin=hf://datasets/mahfuzmee-eng/dse_clean_master_dataset_2026@d2426cf4293a273e6be7eb95e44d1eb56f9471e8/dse_clean_master_dataset_2026.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 | Scrip string | Open float64 | High float64 | Low float64 | Close float64 | Volume int64 |
|---|---|---|---|---|---|---|
2025-01-01 | 00DS30 | 1,939.73323 | 1,949.43366 | 1,939.02778 | 1,941.93663 | 3,305,973,000 |
2025-01-01 | PDL | 6.5 | 6.6 | 6.4 | 6.5 | 139,101 |
2025-01-01 | PARAMOUNT | 41.8 | 41.8 | 40.8 | 40.9 | 34,667 |
2025-01-01 | PADMAOIL | 188 | 190.3 | 188 | 188.6 | 6,945 |
2025-01-01 | PADMALIFE | 16.4 | 16.8 | 16.2 | 16.4 | 10,095 |
2025-01-01 | ORYZAAGRO | 24.9 | 25.1 | 24.8 | 24.9 | 30,567 |
2025-01-01 | ORIONPHARM | 38 | 38.6 | 37.7 | 37.8 | 1,060,476 |
2025-01-01 | ORIONINFU | 425.1 | 425.1 | 389.4 | 389.4 | 686,718 |
2025-01-01 | ONEBANKPLC | 8.5 | 8.6 | 8.4 | 8.4 | 778,391 |
2025-01-01 | OLYMPIC | 158 | 158.8 | 155.7 | 156.2 | 26,436 |
2025-01-01 | OIMEX | 28.2 | 29.4 | 28.2 | 28.9 | 2,177,613 |
2025-01-01 | PENINSULA | 10.7 | 10.9 | 10.7 | 10.8 | 8,038 |
2025-01-01 | OAL | 7 | 7.2 | 7 | 7.2 | 270,894 |
2025-01-01 | NTLTUBES | 85.9 | 85.9 | 84.6 | 84.9 | 108,127 |
2025-01-01 | NTC | 190.4 | 195 | 190.4 | 193.6 | 2,749 |
2025-01-01 | NRBCBANK | 8.5 | 8.5 | 8.3 | 8.5 | 85,790 |
2025-01-01 | NRBBANK | 12.3 | 12.6 | 12.3 | 12.3 | 3,448,058 |
2025-01-01 | NPOLYMER | 32.2 | 32.2 | 31.9 | 32.1 | 67,188 |
2025-01-01 | NORTHRNINS | 29.1 | 29.9 | 29 | 29.1 | 10,625 |
2025-01-01 | NORTHERN | 116.1 | 116.1 | 112 | 113 | 1,987 |
2025-01-01 | NITOLINS | 24.761905 | 24.761905 | 24 | 24.095238 | 12,038 |
2025-01-01 | NIALCO | 25.4 | 27.7 | 25.4 | 26 | 195,801 |
2025-01-01 | NHFIL | 27 | 27 | 26.5 | 26.8 | 31,472 |
2025-01-01 | NURANI | 3.7 | 3.7 | 3.7 | 3.7 | 70,560 |
2025-01-01 | NFML | 8.1 | 8.1 | 7.9 | 8 | 17,166 |
2025-01-01 | PEOPLESINS | 31 | 31.2 | 30.4 | 30.5 | 175,779 |
2025-01-01 | PHARMAID | 573.3 | 577 | 565.5 | 569.7 | 6,992 |
2025-01-01 | PTL | 47 | 47 | 45.6 | 46 | 56,930 |
2025-01-01 | PROVATIINS | 37.3 | 37.8 | 36.9 | 37.6 | 827,037 |
2025-01-01 | PROGRESLIF | 37.4 | 39 | 37 | 37.4 | 305 |
2025-01-01 | PRIMETEX | 12.1 | 12.3 | 11.9 | 12 | 18,351 |
2025-01-01 | PRIMELIFE | 32.2 | 32.2 | 31 | 31.1 | 27,554 |
2025-01-01 | PRIMEINSUR | 36.2 | 36.2 | 35.3 | 35.4 | 11,032 |
2025-01-01 | PRIMEFIN | 4.4 | 4.4 | 4.1 | 4.2 | 49,100 |
2025-01-01 | PRIMEBANK | 22.829268 | 23.512195 | 22.829268 | 23.414634 | 343,562 |
2025-01-01 | PRIME1ICBA | 4.8 | 4.9 | 4.8 | 4.8 | 158,126 |
2025-01-01 | PREMIERLEA | 3.2 | 3.3 | 3.2 | 3.3 | 55,301 |
2025-01-01 | PF1STMF | 5.5 | 5.6 | 5.5 | 5.5 | 28,122 |
2025-01-01 | PREMIERCEM | 48.2 | 48.4 | 46.6 | 47.1 | 35,136 |
2025-01-01 | PRAGATILIF | 131 | 133.8 | 129 | 130.1 | 6,126 |
2025-01-01 | PRAGATIINS | 50 | 51.121495 | 49.719626 | 49.719626 | 10,414 |
2025-01-01 | POWERGRID | 41.8 | 42.3 | 41.5 | 41.8 | 146,992 |
2025-01-01 | POPULARLIF | 51 | 51.8 | 50.6 | 51 | 10,786 |
2025-01-01 | POPULAR1MF | 3.2 | 3.2 | 3.1 | 3.1 | 17,384 |
2025-01-01 | PLFSL | 2.3 | 2.3 | 2.2 | 2.3 | 94,384 |
2025-01-01 | PIONEERINS | 48.1 | 48.5 | 47.8 | 48 | 3,640 |
2025-01-01 | PHPMF1 | 3.3 | 3.3 | 3.1 | 3.2 | 39,337 |
2025-01-01 | PHOENIXFIN | 3.2 | 3.3 | 3.2 | 3.3 | 345,413 |
2025-01-01 | PHENIXINS | 26 | 26.6 | 26 | 26.1 | 2,960 |
2025-01-01 | PREMIERBAN | 9 | 9.1 | 8.9 | 9 | 561,337 |
2025-01-01 | NEWLINE | 6.6 | 6.8 | 6.6 | 6.7 | 862,729 |
2025-01-01 | NCCBLMF1 | 5.2 | 5.2 | 5.2 | 5.2 | 83 |
2025-01-01 | NCCBANK | 10.8 | 10.9 | 10.8 | 10.9 | 266,987 |
2025-01-01 | MEGHNACEM | 45.6 | 45.6 | 42.8 | 42.9 | 7,647 |
2025-01-01 | MEGCONMILK | 27.3 | 27.4 | 27 | 27.3 | 2,126 |
2025-01-01 | MBL1STMF | 4 | 4 | 3.9 | 3.9 | 63,385 |
2025-01-01 | MATINSPINN | 45.6 | 45.8 | 45.1 | 45.3 | 53,561 |
2025-01-01 | MASTERAGRO | 6.8 | 7.4 | 6.8 | 7.4 | 130,623 |
2025-01-01 | MARICO | 2,324 | 2,324 | 2,285.6 | 2,307.2 | 558 |
2025-01-01 | MAMUNAGRO | 33.2 | 34.5 | 33.2 | 34.4 | 329,562 |
2025-01-01 | MALEKSPIN | 25 | 25.1 | 24.7 | 24.8 | 243,852 |
2025-01-01 | MAKSONSPIN | 6.1 | 6.2 | 6 | 6 | 126,724 |
2025-01-01 | MAGURAPLEX | 105 | 107.4 | 104.2 | 104.5 | 22,533 |
2025-01-01 | MEGHNAINS | 28 | 28.3 | 27.6 | 27.7 | 139,280 |
2025-01-01 | LRGLOBMF1 | 3.3 | 3.5 | 3.3 | 3.3 | 4,100 |
2025-01-01 | LOVELLO | 86.8 | 88.2 | 85.1 | 86.5 | 1,010,480 |
2025-01-01 | LINDEBD | 1,028.9 | 1,045 | 1,004.5 | 1,007.2 | 36,029 |
2025-01-01 | LIBRAINFU | 813.1 | 813.9 | 780.1 | 784.7 | 5,511 |
2025-01-01 | LHB | 54 | 54.5 | 53.3 | 53.5 | 135,343 |
2025-01-01 | LEGACYFOOT | 60.5 | 61.8 | 59.2 | 60.7 | 314,531 |
2025-01-01 | LANKABAFIN | 18.7 | 18.9 | 18.5 | 18.6 | 696,619 |
2025-01-01 | KTL | 9 | 9.1 | 8.9 | 8.9 | 194,324 |
2025-01-01 | KPPL | 8.5 | 9.3 | 8.4 | 9.3 | 798,469 |
2025-01-01 | KPCL | 13 | 13.1 | 12.8 | 12.8 | 99,476 |
2025-01-01 | KOHINOOR | 509.1 | 513 | 507 | 509.7 | 7,551 |
2025-01-01 | LRBDL | 14.2 | 14.2 | 13.7 | 13.8 | 267,308 |
2025-01-01 | MEGHNALIFE | 55.5 | 56 | 54.6 | 54.8 | 131,124 |
2025-01-01 | MEGHNAPET | 27.2 | 27.3 | 26.6 | 26.8 | 13,525 |
2025-01-01 | MERCANBANK | 10.3 | 10.4 | 10.2 | 10.3 | 534,809 |
2025-01-01 | NBL | 4.9 | 5 | 4.9 | 5 | 72,838 |
2025-01-01 | NAVANAPHAR | 49 | 49 | 48.1 | 48.2 | 148,013 |
2025-01-01 | NAVANACNG | 23.6 | 23.7 | 22.8 | 23 | 325,376 |
2025-01-01 | NATLIFEINS | 105.8 | 107.2 | 103.8 | 104 | 73,401 |
2025-01-01 | NAHEEACP | 21.3 | 21.4 | 20.9 | 21.2 | 125,532 |
2025-01-01 | MTB | 11.363636 | 11.363636 | 11.090909 | 11.272727 | 203,703 |
2025-01-01 | MPETROLEUM | 195.7 | 200.2 | 195.4 | 198 | 215,254 |
2025-01-01 | MOSTFAMETL | 11.8 | 12.6 | 11.8 | 12.5 | 404,171 |
2025-01-01 | MONOSPOOL | 110.9 | 111 | 107.1 | 107.6 | 111,476 |
2025-01-01 | MONNOFABR | 17 | 17 | 16.6 | 16.6 | 370,734 |
2025-01-01 | MONNOCERA | 65.8 | 65.9 | 64.8 | 65 | 14,437 |
2025-01-01 | MONNOAGML | 354.8 | 357.9 | 342 | 345 | 30,478 |
2025-01-01 | MLDYEING | 9.2 | 9.3 | 8.9 | 9 | 105,443 |
2025-01-01 | MKFOOTWEAR | 45.2 | 46.1 | 45 | 45.7 | 110,579 |
2025-01-01 | MJLBD | 95.3 | 95.3 | 94.1 | 95 | 123,624 |
2025-01-01 | MITHUNKNIT | 14.5 | 14.5 | 13.3 | 13.5 | 31,324 |
2025-01-01 | MIRAKHTER | 31.2 | 31.7 | 31.2 | 31.4 | 33,820 |
2025-01-01 | MIRACLEIND | 26.9 | 26.9 | 25.9 | 26.1 | 99,657 |
2025-01-01 | MIDLANDBNK | 30.291262 | 30.582524 | 30.097087 | 30.291262 | 338,269 |
2025-01-01 | MIDASFIN | 8.1 | 8.3 | 8 | 8.1 | 35,796 |
2025-01-01 | MHSML | 14.3 | 14.4 | 14 | 14.1 | 46,810 |
End of preview.
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