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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 8 new columns ({'order_time', 'shipping_fee', 'order_id', 'customer_rating', 'is_cancelled', 'cost_amount', 'city', 'sales_amount'}) and 7 missing columns ({'cancelled_orders', 'avg_order_amount', 'cancellation_rate_pct', 'total_sales', 'valid_orders', 'total_orders', 'avg_customer_rating'}).
This happened while the csv dataset builder was generating data using
hf://datasets/toolathon123/project_20260813_012309_b5b3cd36/orders_20260813.csv (at revision cdbd29c22c0e3e45262442d487b1413eed85f058), ['hf://datasets/toolathon123/project_20260813_012309_b5b3cd36@cdbd29c22c0e3e45262442d487b1413eed85f058/analysis_results/aggregated_results.csv', 'hf://datasets/toolathon123/project_20260813_012309_b5b3cd36@cdbd29c22c0e3e45262442d487b1413eed85f058/orders_20260813.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
order_id: string
order_time: string
country: string
city: string
product_category: string
sales_amount: double
cost_amount: double
shipping_fee: double
customer_rating: double
is_cancelled: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1494
to
{'country': Value('string'), 'product_category': Value('string'), 'total_orders': Value('int64'), 'valid_orders': Value('int64'), 'cancelled_orders': Value('int64'), 'cancellation_rate_pct': Value('float64'), 'total_sales': Value('float64'), 'avg_order_amount': Value('float64'), 'avg_customer_rating': 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 8 new columns ({'order_time', 'shipping_fee', 'order_id', 'customer_rating', 'is_cancelled', 'cost_amount', 'city', 'sales_amount'}) and 7 missing columns ({'cancelled_orders', 'avg_order_amount', 'cancellation_rate_pct', 'total_sales', 'valid_orders', 'total_orders', 'avg_customer_rating'}).
This happened while the csv dataset builder was generating data using
hf://datasets/toolathon123/project_20260813_012309_b5b3cd36/orders_20260813.csv (at revision cdbd29c22c0e3e45262442d487b1413eed85f058), ['hf://datasets/toolathon123/project_20260813_012309_b5b3cd36@cdbd29c22c0e3e45262442d487b1413eed85f058/analysis_results/aggregated_results.csv', 'hf://datasets/toolathon123/project_20260813_012309_b5b3cd36@cdbd29c22c0e3e45262442d487b1413eed85f058/orders_20260813.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.
country string | product_category string | total_orders int64 | valid_orders int64 | cancelled_orders int64 | cancellation_rate_pct float64 | total_sales float64 | avg_order_amount float64 | avg_customer_rating float64 |
|---|---|---|---|---|---|---|---|---|
Egypt | Beauty & Personal Care | 50 | 40 | 10 | 20 | 3,456.46 | 86.41 | 3.9 |
Egypt | Books & Media | 40 | 35 | 5 | 12.5 | 1,532.19 | 43.78 | 3.7 |
Egypt | Clothing | 49 | 42 | 7 | 14.29 | 4,884.77 | 116.3 | 3.7 |
Egypt | Electronics | 56 | 42 | 14 | 25 | 30,079.13 | 716.17 | 3.9 |
Egypt | Groceries | 38 | 36 | 2 | 5.26 | 3,499.27 | 97.2 | 3.7 |
Egypt | Home & Kitchen | 46 | 41 | 5 | 10.87 | 9,813.21 | 239.35 | 3.7 |
Egypt | Sports & Outdoors | 39 | 36 | 3 | 7.69 | 6,910.09 | 191.95 | 3.3 |
Egypt | Toys & Games | 51 | 42 | 9 | 17.65 | 3,084.43 | 73.44 | 3.8 |
South Africa | Beauty & Personal Care | 59 | 49 | 10 | 16.95 | 4,006.63 | 81.77 | 3.55 |
South Africa | Books & Media | 43 | 40 | 3 | 6.98 | 1,924.02 | 48.1 | 3.2 |
South Africa | Clothing | 36 | 34 | 2 | 5.56 | 3,678.71 | 108.2 | 3.65 |
South Africa | Electronics | 46 | 40 | 6 | 13.04 | 31,345.55 | 783.64 | 3.5 |
South Africa | Groceries | 50 | 42 | 8 | 16 | 3,864.44 | 92.01 | 3.6 |
South Africa | Home & Kitchen | 49 | 42 | 7 | 14.29 | 9,028.35 | 214.96 | 3.5 |
South Africa | Sports & Outdoors | 58 | 50 | 8 | 13.79 | 8,481.31 | 169.63 | 3.55 |
South Africa | Toys & Games | 39 | 34 | 5 | 12.82 | 2,491.18 | 73.27 | 3.2 |
South Africa | Sports & Outdoors | null | null | null | null | null | null | null |
South Africa | Beauty & Personal Care | null | null | null | null | null | null | null |
South Africa | Toys & Games | null | null | null | null | null | null | null |
Egypt | Groceries | null | null | null | null | null | null | null |
South Africa | Electronics | null | null | null | null | null | null | null |
Egypt | Books & Media | null | null | null | null | null | null | null |
South Africa | Groceries | null | null | null | null | null | null | null |
South Africa | Toys & Games | null | null | null | null | null | null | null |
Egypt | Sports & Outdoors | null | null | null | null | null | null | null |
South Africa | Groceries | null | null | null | null | null | null | null |
Egypt | Sports & Outdoors | null | null | null | null | null | null | null |
Egypt | Sports & Outdoors | null | null | null | null | null | null | null |
South Africa | Beauty & Personal Care | null | null | null | null | null | null | null |
South Africa | Books & Media | null | null | null | null | null | null | null |
Egypt | Home & Kitchen | null | null | null | null | null | null | null |
South Africa | Toys & Games | null | null | null | null | null | null | null |
South Africa | Electronics | null | null | null | null | null | null | null |
Egypt | Home & Kitchen | null | null | null | null | null | null | null |
Egypt | Toys & Games | null | null | null | null | null | null | null |
South Africa | Beauty & Personal Care | null | null | null | null | null | null | null |
South Africa | Electronics | null | null | null | null | null | null | null |
South Africa | Toys & Games | null | null | null | null | null | null | null |
Egypt | Beauty & Personal Care | null | null | null | null | null | null | null |
South Africa | Clothing | null | null | null | null | null | null | null |
South Africa | Toys & Games | null | null | null | null | null | null | null |
South Africa | Groceries | null | null | null | null | null | null | null |
South Africa | Sports & Outdoors | null | null | null | null | null | null | null |
Egypt | Electronics | null | null | null | null | null | null | null |
South Africa | Sports & Outdoors | null | null | null | null | null | null | null |
Egypt | Electronics | null | null | null | null | null | null | null |
South Africa | Clothing | null | null | null | null | null | null | null |
South Africa | Books & Media | null | null | null | null | null | null | null |
Egypt | Beauty & Personal Care | null | null | null | null | null | null | null |
Egypt | Sports & Outdoors | null | null | null | null | null | null | null |
Egypt | Beauty & Personal Care | null | null | null | null | null | null | null |
Egypt | Books & Media | null | null | null | null | null | null | null |
Egypt | Books & Media | null | null | null | null | null | null | null |
South Africa | Toys & Games | null | null | null | null | null | null | null |
Egypt | Books & Media | null | null | null | null | null | null | null |
Egypt | Electronics | null | null | null | null | null | null | null |
Egypt | Clothing | null | null | null | null | null | null | null |
South Africa | Electronics | null | null | null | null | null | null | null |
Egypt | Toys & Games | null | null | null | null | null | null | null |
South Africa | Groceries | null | null | null | null | null | null | null |
Egypt | Toys & Games | null | null | null | null | null | null | null |
Egypt | Groceries | null | null | null | null | null | null | null |
South Africa | Beauty & Personal Care | null | null | null | null | null | null | null |
Egypt | Electronics | null | null | null | null | null | null | null |
South Africa | Beauty & Personal Care | null | null | null | null | null | null | null |
South Africa | Electronics | null | null | null | null | null | null | null |
Egypt | Books & Media | null | null | null | null | null | null | null |
South Africa | Electronics | null | null | null | null | null | null | null |
South Africa | Beauty & Personal Care | null | null | null | null | null | null | null |
Egypt | Home & Kitchen | null | null | null | null | null | null | null |
Egypt | Toys & Games | null | null | null | null | null | null | null |
South Africa | Books & Media | null | null | null | null | null | null | null |
Egypt | Groceries | null | null | null | null | null | null | null |
Egypt | Toys & Games | null | null | null | null | null | null | null |
Egypt | Books & Media | null | null | null | null | null | null | null |
Egypt | Electronics | null | null | null | null | null | null | null |
Egypt | Electronics | null | null | null | null | null | null | null |
Egypt | Books & Media | null | null | null | null | null | null | null |
South Africa | Beauty & Personal Care | null | null | null | null | null | null | null |
South Africa | Home & Kitchen | null | null | null | null | null | null | null |
Egypt | Electronics | null | null | null | null | null | null | null |
South Africa | Groceries | null | null | null | null | null | null | null |
Egypt | Toys & Games | null | null | null | null | null | null | null |
South Africa | Beauty & Personal Care | null | null | null | null | null | null | null |
Egypt | Electronics | null | null | null | null | null | null | null |
South Africa | Clothing | null | null | null | null | null | null | null |
Egypt | Clothing | null | null | null | null | null | null | null |
Egypt | Sports & Outdoors | null | null | null | null | null | null | null |
Egypt | Home & Kitchen | null | null | null | null | null | null | null |
Egypt | Toys & Games | null | null | null | null | null | null | null |
South Africa | Clothing | null | null | null | null | null | null | null |
Egypt | Electronics | null | null | null | null | null | null | null |
Egypt | Groceries | null | null | null | null | null | null | null |
South Africa | Clothing | null | null | null | null | null | null | null |
Egypt | Beauty & Personal Care | null | null | null | null | null | null | null |
Egypt | Sports & Outdoors | null | null | null | null | null | null | null |
Egypt | Books & Media | null | null | null | null | null | null | null |
South Africa | Electronics | null | null | null | null | null | null | null |
Egypt | Home & Kitchen | null | null | null | null | null | null | null |
South Africa | Home & Kitchen | null | null | null | null | null | null | null |
End of preview.
African E-Commerce Sales Analytics — Project 20260813_012309_b5b3cd36
Real-time e-commerce order analytics for South Africa and Egypt (snapshot 2026-08-13).
Data
- Raw dataset:
orders_20260813.csv— 800 orders collected hourly by the real-time data pipeline. - Schema:
order_id, order_time, country, city, product_category, sales_amount, cost_amount, shipping_fee, customer_rating, is_cancelled.
Analysis Results
Aggregated by country × product_category in analysis_results/:
aggregated_results.csv— result table (total sales, average order amount, cancelled count & rate, average customer rating)analysis_results.json— full JSON report with data-quality summary and key findings
Data Quality Summary
| Issue | Count |
|---|---|
| Raw records | 800 |
| Removed — negative / zero sales_amount | 28 |
| Removed — abnormal high sales_amount (>10,000) | 12 |
| Removed — negative cost_amount | 6 |
| Removed — negative shipping_fee | 5 |
| Records kept after cleaning | 749 |
| Missing customer_rating imputed (segment median) | 80 |
| Cancelled orders | 104 (13.89%) |
Key Findings
- Total non-cancelled sales: 128,079.74 (South Africa 64,820.19 vs Egypt 63,259.55).
- Overall cancellation rate: 13.89%; highest segment is Egypt Electronics (25%).
- Electronics is the top revenue driver with the highest average order value in both markets.
- Downloads last month
- 11