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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowInvalid
Message: Failed to parse string: '01A193' as a scalar of type int64
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2246, in cast_table_to_schema
arrays = [
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2247, in <listcomp>
cast_array_to_feature(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1796, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1796, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2103, in cast_array_to_feature
return array_cast(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1798, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1950, in array_cast
return array.cast(pa_type)
File "pyarrow/array.pxi", line 996, in pyarrow.lib.Array.cast
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/compute.py", line 404, in cast
return call_function("cast", [arr], options, memory_pool)
File "pyarrow/_compute.pyx", line 590, in pyarrow._compute.call_function
File "pyarrow/_compute.pyx", line 385, in pyarrow._compute.Function.call
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Failed to parse string: '01A193' as a scalar of type int64
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1433, 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 1050, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1898, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
PROVNUM
int64 | STATE
string | CY_Qtr
string | WorkDate
int64 | SYS_EMPLEE_ID
int64 | EMPLEE_JOB_CD_ID
int64 | EMP_CTR
int64 | WORK_HRS_NUM
float64 |
|---|---|---|---|---|---|---|---|
15,009
|
AL
|
2022Q4
| 20,221,001
| 1,380,048
| 10
| 1
| 7.63
|
15,009
|
AL
|
2022Q4
| 20,221,001
| 1,666,173
| 9
| 1
| 7.4
|
15,009
|
AL
|
2022Q4
| 20,221,001
| 2,287,724
| 9
| 1
| 8.2
|
15,009
|
AL
|
2022Q4
| 20,221,001
| 3,156,189
| 7
| 1
| 8.2
|
15,009
|
AL
|
2022Q4
| 20,221,001
| 4,014,409
| 1
| 1
| 8
|
15,009
|
AL
|
2022Q4
| 20,221,001
| 5,035,304
| 19
| 2
| 0.5
|
15,009
|
AL
|
2022Q4
| 20,221,001
| 6,357,199
| 7
| 1
| 5.2
|
15,009
|
AL
|
2022Q4
| 20,221,001
| 8,238,506
| 10
| 1
| 7.44
|
15,009
|
AL
|
2022Q4
| 20,221,001
| 9,250,851
| 10
| 1
| 7.82
|
15,009
|
AL
|
2022Q4
| 20,221,001
| 21,205,017
| 10
| 1
| 7.75
|
15,009
|
AL
|
2022Q4
| 20,221,001
| 21,205,086
| 10
| 1
| 7.1
|
15,009
|
AL
|
2022Q4
| 20,221,001
| 21,205,286
| 10
| 1
| 7.74
|
15,009
|
AL
|
2022Q4
| 20,221,001
| 21,205,369
| 10
| 1
| 7.45
|
15,009
|
AL
|
2022Q4
| 20,221,001
| 21,205,566
| 10
| 1
| 7.74
|
15,009
|
AL
|
2022Q4
| 20,221,001
| 21,205,577
| 7
| 1
| 15.55
|
15,009
|
AL
|
2022Q4
| 20,221,001
| 21,205,615
| 10
| 1
| 7.88
|
15,009
|
AL
|
2022Q4
| 20,221,001
| 21,205,699
| 9
| 1
| 15.23
|
15,009
|
AL
|
2022Q4
| 20,221,001
| 21,205,704
| 10
| 1
| 11.59
|
15,009
|
AL
|
2022Q4
| 20,221,001
| 21,205,802
| 10
| 1
| 7.74
|
15,009
|
AL
|
2022Q4
| 20,221,001
| 21,926,402
| 10
| 1
| 7.82
|
15,009
|
AL
|
2022Q4
| 20,221,002
| 1,380,048
| 10
| 1
| 7.45
|
15,009
|
AL
|
2022Q4
| 20,221,002
| 1,666,173
| 9
| 1
| 7.45
|
15,009
|
AL
|
2022Q4
| 20,221,002
| 2,287,724
| 9
| 1
| 8.2
|
15,009
|
AL
|
2022Q4
| 20,221,002
| 3,156,189
| 7
| 1
| 7.74
|
15,009
|
AL
|
2022Q4
| 20,221,002
| 8,238,506
| 10
| 1
| 7.55
|
15,009
|
AL
|
2022Q4
| 20,221,002
| 9,250,842
| 10
| 1
| 8.1
|
15,009
|
AL
|
2022Q4
| 20,221,002
| 9,250,848
| 10
| 1
| 7.25
|
15,009
|
AL
|
2022Q4
| 20,221,002
| 9,250,849
| 10
| 1
| 7.3
|
15,009
|
AL
|
2022Q4
| 20,221,002
| 9,250,851
| 10
| 1
| 7.69
|
15,009
|
AL
|
2022Q4
| 20,221,002
| 10,122,043
| 7
| 1
| 4
|
15,009
|
AL
|
2022Q4
| 20,221,002
| 21,205,017
| 10
| 1
| 7.74
|
15,009
|
AL
|
2022Q4
| 20,221,002
| 21,205,083
| 10
| 1
| 7.23
|
15,009
|
AL
|
2022Q4
| 20,221,002
| 21,205,086
| 10
| 1
| 7.23
|
15,009
|
AL
|
2022Q4
| 20,221,002
| 21,205,094
| 10
| 1
| 8.2
|
15,009
|
AL
|
2022Q4
| 20,221,002
| 21,205,369
| 10
| 1
| 7.45
|
15,009
|
AL
|
2022Q4
| 20,221,002
| 21,205,577
| 7
| 1
| 15.58
|
15,009
|
AL
|
2022Q4
| 20,221,002
| 21,205,704
| 10
| 1
| 7.85
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 253,548
| 6
| 1
| 8
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 543,795
| 7
| 1
| 8
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 1,666,173
| 9
| 1
| 7.23
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 2,000,335
| 10
| 1
| 7.45
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 2,575,250
| 10
| 1
| 7.66
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 3,110,318
| 28
| 1
| 8
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 3,111,322
| 9
| 1
| 7.8
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 3,139,098
| 9
| 1
| 12.1
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 3,156,189
| 7
| 1
| 7.45
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 3,429,512
| 22
| 2
| 8
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 3,630,275
| 26
| 2
| 3
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 4,014,409
| 1
| 1
| 8
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 4,570,491
| 10
| 1
| 7.23
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 4,603,482
| 5
| 1
| 8
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 4,603,556
| 10
| 1
| 8
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 4,603,601
| 2
| 2
| 1.5
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 5,035,304
| 19
| 2
| 5.25
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 6,357,197
| 7
| 1
| 8
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 9,250,842
| 10
| 1
| 7.89
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 9,250,843
| 10
| 1
| 7.45
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 9,250,849
| 10
| 1
| 7.23
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 9,250,851
| 10
| 1
| 7.88
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 10,122,042
| 7
| 1
| 8
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 10,122,043
| 7
| 1
| 9.2
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 10,122,046
| 7
| 1
| 6.5
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 21,205,017
| 10
| 1
| 7.23
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 21,205,075
| 10
| 1
| 7.45
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 21,205,083
| 10
| 1
| 7.44
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 21,205,094
| 10
| 1
| 7.23
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 21,205,566
| 10
| 1
| 7.45
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 21,205,604
| 10
| 1
| 7.45
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 21,205,692
| 10
| 1
| 7.88
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 21,205,719
| 10
| 1
| 7.45
|
15,009
|
AL
|
2022Q4
| 20,221,003
| 21,205,814
| 10
| 1
| 12.2
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 253,548
| 6
| 1
| 8
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 543,795
| 7
| 1
| 8
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 1,666,173
| 9
| 1
| 7.52
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 2,000,335
| 10
| 1
| 7.5
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 2,575,250
| 10
| 1
| 7.65
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 3,110,318
| 28
| 1
| 8
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 3,111,322
| 9
| 1
| 7.23
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 3,139,098
| 9
| 1
| 7.75
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 3,156,189
| 7
| 1
| 7.89
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 3,429,512
| 22
| 2
| 5.5
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 3,630,275
| 26
| 2
| 3.5
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 4,014,409
| 1
| 1
| 8
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 4,570,491
| 10
| 1
| 7.72
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 4,603,482
| 5
| 1
| 8
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 4,603,556
| 10
| 1
| 8
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 5,035,304
| 19
| 2
| 5
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 6,357,197
| 7
| 1
| 8
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 8,238,506
| 10
| 1
| 7.32
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 8,523,968
| 10
| 1
| 7.23
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 9,250,842
| 10
| 1
| 7.59
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 9,250,843
| 10
| 1
| 7.41
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 9,250,849
| 10
| 1
| 7.36
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 10,122,042
| 7
| 1
| 9
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 10,122,043
| 7
| 1
| 8
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 10,122,046
| 7
| 1
| 8
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 21,205,017
| 10
| 1
| 7.74
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 21,205,075
| 10
| 1
| 7.62
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 21,205,094
| 10
| 1
| 7.65
|
15,009
|
AL
|
2022Q4
| 20,221,004
| 21,205,566
| 10
| 1
| 7.52
|
End of preview.
Payroll Based Journal Employee Detail Nursing Home Staffing
Description
The Payroll Based Journal (PBJ) Employee Detail Nursing Home Staffing dataset provides information submitted by nursing homes including rehabilitation services on a quarterly basis. The data include a system generated employee identification number, work date, job type and employment status, and hours worked for each nursing home employee.
Note: This full dataset contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required.
Dataset Details
- Publisher: Centers for Medicare & Medicaid Services
- Temporal Coverage: 2020-04-01/2024-12-31
- Last Modified: 2025-04-30
- Contact: Nursing Home Staffing - CCSQ (PBJ Reports) ([email protected])
Source
Original data can be found at: https://data.cms.gov/quality-of-care/payroll-based-journal-employee-detail-nursing-home-staffing
Usage
You can load this dataset using:
from datasets import load_dataset
dataset = load_dataset('HHS-Official/payroll-based-journal-employee-detail-nursing-home')
License
This dataset is licensed under https://www.usa.gov/government-works
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