Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 ({'transaction_count', 'total_amount'}) and 9 missing columns ({'notes', 'id', 'date', 'payment_method', 'status', 'category', 'amount', 'description', 'receipt_number'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Charvee/expense_log/expense_summary.csv (at revision 5b372c4903d9b6925210d63b3706ca80510e5118)
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 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
vendor: string
transaction_count: int64
total_amount: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 628
to
{'id': Value('int64'), 'date': Value('string'), 'category': Value('string'), 'description': Value('string'), 'amount': Value('float64'), 'payment_method': Value('string'), 'vendor': Value('string'), 'receipt_number': Value('string'), 'status': Value('string'), 'notes': Value('string')}
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 1455, 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 1054, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1833, 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 2 new columns ({'transaction_count', 'total_amount'}) and 9 missing columns ({'notes', 'id', 'date', 'payment_method', 'status', 'category', 'amount', 'description', 'receipt_number'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Charvee/expense_log/expense_summary.csv (at revision 5b372c4903d9b6925210d63b3706ca80510e5118)
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.
id
int64 | date
string | category
string | description
string | amount
float64 | payment_method
string | vendor
string | receipt_number
string | status
string | notes
string |
|---|---|---|---|---|---|---|---|---|---|
1
|
2024-11-24
|
Utilities
|
Internet service
| 125.54
|
Debit Card
|
Electric Company
|
RCP708748
|
Pending
|
Business expense
|
2
|
2024-11-19
|
Dining
|
Quick breakfast
| 20.14
|
Debit Card
|
Starbucks
|
RCP367903
|
Paid
|
Emergency purchase
|
3
|
2024-11-19
|
Healthcare
|
Vision checkup
| 248.63
|
Debit Card
|
City Medical Center
|
RCP674613
|
Pending
|
""
|
4
|
2024-12-17
|
Subscriptions
|
Streaming service
| 10.96
|
Mobile Payment
|
Netflix
|
RCP827155
|
Paid
|
""
|
5
|
2024-11-01
|
Groceries
|
Weekly grocery shopping
| 75.66
|
Mobile Payment
|
Kroger
|
RCP339846
|
Pending
|
Split with roommate
|
6
|
2024-12-02
|
Groceries
|
Weekly grocery shopping
| 104.7
|
Debit Card
|
Whole Foods
|
RCP462451
|
Reimbursed
|
""
|
7
|
2024-11-10
|
Groceries
|
Weekly grocery shopping
| 30.89
|
Credit Card
|
Kroger
|
RCP347744
|
Pending
|
Emergency purchase
|
8
|
2024-12-11
|
Home Maintenance
|
Plumbing repair
| 310.25
|
Mobile Payment
|
Home Depot
|
RCP533645
|
Paid
|
Emergency purchase
|
9
|
2024-12-24
|
Utilities
|
Internet service
| 121.24
|
Mobile Payment
|
Electric Company
|
RCP909139
|
Paid
|
Split with roommate
|
10
|
2024-11-09
|
Entertainment
|
Video game purchase
| 18.14
|
Cash
|
Steam
|
RCP706892
|
Reimbursed
|
""
|
11
|
2024-12-14
|
Groceries
|
Weekly grocery shopping
| 144.05
|
Cash
|
Target
|
RCP398759
|
Pending
|
""
|
12
|
2024-11-03
|
Groceries
|
Household essentials
| 120.96
|
Credit Card
|
Whole Foods
|
RCP623178
|
Paid
|
Split with roommate
|
13
|
2024-11-23
|
Groceries
|
Monthly stock up
| 57.61
|
Debit Card
|
Walmart
|
RCP384495
|
Reimbursed
|
Tax deductible
|
14
|
2024-12-17
|
Transport
|
Parking fee
| 60.69
|
Debit Card
|
Metro Transit
|
RCP997494
|
Reimbursed
|
""
|
15
|
2024-11-27
|
Subscriptions
|
Streaming service
| 16.52
|
Cash
|
Adobe
|
RCP481396
|
Reimbursed
|
""
|
16
|
2024-12-20
|
Utilities
|
Internet service
| 64.97
|
Cash
|
Water Utility
|
RCP949559
|
Reimbursed
|
""
|
17
|
2024-11-05
|
Transport
|
Gas fill-up
| 67.13
|
Debit Card
|
Shell
|
RCP257352
|
Reimbursed
|
Business expense
|
18
|
2024-12-12
|
Groceries
|
Monthly stock up
| 75.35
|
Cash
|
Target
|
RCP209081
|
Reimbursed
|
Emergency purchase
|
19
|
2024-12-23
|
Transport
|
Gas fill-up
| 30.43
|
Mobile Payment
|
Uber
|
RCP367734
|
Paid
|
Business expense
|
20
|
2024-11-13
|
Utilities
|
Water and sewage
| 142.57
|
Mobile Payment
|
Water Utility
|
RCP758549
|
Paid
|
Business expense
|
21
|
2024-12-03
|
Healthcare
|
Doctor visit copay
| 185.96
|
Debit Card
|
Dental Clinic
|
RCP660881
|
Reimbursed
|
""
|
22
|
2024-11-20
|
Dining
|
Family dinner
| 41.96
|
Debit Card
|
Olive Garden
|
RCP444505
|
Paid
|
""
|
23
|
2024-11-20
|
Dining
|
Quick breakfast
| 44.58
|
Debit Card
|
Starbucks
|
RCP621719
|
Paid
|
Split with roommate
|
24
|
2024-12-10
|
Transport
|
Parking fee
| 79.51
|
Credit Card
|
Shell
|
RCP407884
|
Reimbursed
|
Tax deductible
|
25
|
2024-11-29
|
Transport
|
Ride to airport
| 60.25
|
Mobile Payment
|
Metro Transit
|
RCP217289
|
Pending
|
""
|
26
|
2024-11-18
|
Entertainment
|
Concert tickets
| 39.99
|
Mobile Payment
|
Netflix
|
RCP816977
|
Pending
|
""
|
27
|
2024-12-23
|
Groceries
|
Weekly grocery shopping
| 27.58
|
Cash
|
Walmart
|
RCP403069
|
Reimbursed
|
""
|
28
|
2024-11-09
|
Groceries
|
Household essentials
| 75.72
|
Mobile Payment
|
Walmart
|
RCP668256
|
Reimbursed
|
""
|
29
|
2024-11-13
|
Insurance
|
Life insurance
| 240.54
|
Debit Card
|
Progressive
|
RCP670548
|
Pending
|
""
|
30
|
2024-12-26
|
Healthcare
|
Prescription refill
| 209.2
|
Mobile Payment
|
City Medical Center
|
RCP964452
|
Reimbursed
|
""
|
null | null | null | null | null | null |
City Medical Center
| null | null | null |
null | null | null | null | null | null |
Home Depot
| null | null | null |
null | null | null | null | null | null |
Electric Company
| null | null | null |
null | null | null | null | null | null |
Progressive
| null | null | null |
null | null | null | null | null | null |
Whole Foods
| null | null | null |
null | null | null | null | null | null |
Target
| null | null | null |
null | null | null | null | null | null |
Water Utility
| null | null | null |
null | null | null | null | null | null |
Dental Clinic
| null | null | null |
null | null | null | null | null | null |
Walmart
| null | null | null |
null | null | null | null | null | null |
Shell
| null | null | null |
null | null | null | null | null | null |
Metro Transit
| null | null | null |
null | null | null | null | null | null |
Kroger
| null | null | null |
null | null | null | null | null | null |
Starbucks
| null | null | null |
null | null | null | null | null | null |
Netflix
| null | null | null |
null | null | null | null | null | null |
Olive Garden
| null | null | null |
null | null | null | null | null | null |
Uber
| null | null | null |
null | null | null | null | null | null |
Steam
| null | null | null |
null | null | null | null | null | null |
Adobe
| null | null | null |
No dataset card yet
- Downloads last month
- -