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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowInvalid
Message: Failed to parse string: '1LT' as a scalar of type int64
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 2303, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1852, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2143, in cast_array_to_feature
return array_cast(
array,
...<2 lines>...
allow_decimal_to_str=allow_decimal_to_str,
)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2006, in array_cast
return array.cast(pa_type)
~~~~~~~~~~^^^^^^^^^
File "pyarrow/array.pxi", line 1147, in pyarrow.lib.Array.cast
return _pc().cast(self, target_type, safe=safe,
File "/usr/local/lib/python3.14/site-packages/pyarrow/compute.py", line 412, in cast
return call_function("cast", [arr], options, memory_pool)
File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
return func.call(args, options=options, memory_pool=memory_pool,
File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
result = GetResultValue(
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: Failed to parse string: '1LT' 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 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 1869, 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.
timestamp string | route int64 | bus_id string | distance_along_route float64 | current_speed float64 | weather string | is_festival int64 | forward_headway float64 | is_bunched int64 |
|---|---|---|---|---|---|---|---|---|
2023-01-01T05:15:00 | 1 | 1_1 | 147.26 | 4.91 | clear | 0 | 0 | 0 |
2023-01-01T05:20:00 | 1 | 1_1 | 1,730.2 | 4.04 | clear | 0 | 0 | 0 |
2023-01-01T05:25:00 | 1 | 1_1 | 3,310.19 | 5.29 | clear | 0 | 0 | 0 |
2023-01-01T05:30:00 | 1 | 1_1 | 4,896.7 | 4.67 | clear | 0 | 0 | 0 |
2023-01-01T05:30:00 | 1 | 1_2 | 182.43 | 6.08 | clear | 0 | 4,714.27 | 0 |
2023-01-01T05:35:00 | 1 | 1_1 | 6,562.34 | 5.67 | clear | 0 | 0 | 0 |
2023-01-01T05:35:00 | 1 | 1_2 | 1,820.96 | 4.9 | clear | 0 | 4,741.39 | 0 |
2023-01-01T05:40:00 | 1 | 1_1 | 8,113.81 | 5.64 | clear | 0 | 0 | 0 |
2023-01-01T05:40:00 | 1 | 1_2 | 3,516.09 | 5.81 | clear | 0 | 4,597.72 | 0 |
2023-01-01T05:45:00 | 1 | 1_1 | 9,854.31 | 5.35 | clear | 0 | 0 | 0 |
2023-01-01T05:45:00 | 1 | 1_2 | 5,098.07 | 5.73 | clear | 0 | 4,756.24 | 0 |
2023-01-01T05:45:00 | 1 | 1_3 | 146.32 | 4.88 | clear | 0 | 4,951.75 | 0 |
2023-01-01T05:50:00 | 1 | 1_1 | 11,433.69 | 4.52 | clear | 0 | 0 | 0 |
2023-01-01T05:50:00 | 1 | 1_2 | 6,785.88 | 5.01 | clear | 0 | 4,647.82 | 0 |
2023-01-01T05:50:00 | 1 | 1_3 | 1,840.25 | 5.31 | clear | 0 | 4,945.63 | 0 |
2023-01-01T05:55:00 | 1 | 1_1 | 13,110.21 | 6.25 | clear | 0 | 0 | 0 |
2023-01-01T05:55:00 | 1 | 1_2 | 8,462.86 | 5.97 | clear | 0 | 4,647.35 | 0 |
2023-01-01T05:55:00 | 1 | 1_3 | 3,521.8 | 5.6 | clear | 0 | 4,941.05 | 0 |
2023-01-01T06:00:00 | 1 | 1_1 | 14,628.82 | 4.64 | clear | 0 | 0 | 0 |
2023-01-01T06:00:00 | 1 | 1_2 | 10,018.7 | 3.69 | clear | 0 | 4,610.13 | 0 |
2023-01-01T06:00:00 | 1 | 1_3 | 5,052.56 | 3.97 | clear | 0 | 4,966.14 | 0 |
2023-01-01T06:00:00 | 1 | 1_4 | 127.01 | 4.23 | clear | 0 | 4,925.55 | 0 |
2023-01-01T06:05:00 | 1 | 1_1 | 15,888.8 | 3.66 | clear | 0 | 0 | 0 |
2023-01-01T06:05:00 | 1 | 1_2 | 11,254.93 | 4.67 | clear | 0 | 4,633.87 | 0 |
2023-01-01T06:05:00 | 1 | 1_3 | 6,258.95 | 4.23 | clear | 0 | 4,995.99 | 0 |
2023-01-01T06:05:00 | 1 | 1_4 | 1,241.28 | 4.79 | clear | 0 | 5,017.67 | 0 |
2023-01-01T06:10:00 | 1 | 1_1 | 17,115.78 | 4.36 | clear | 0 | 0 | 0 |
2023-01-01T06:10:00 | 1 | 1_2 | 12,539.28 | 4.99 | clear | 0 | 4,576.5 | 0 |
2023-01-01T06:10:00 | 1 | 1_3 | 7,422.57 | 3.53 | clear | 0 | 5,116.71 | 0 |
2023-01-01T06:10:00 | 1 | 1_4 | 2,427.43 | 5.17 | clear | 0 | 4,995.14 | 0 |
2023-01-01T06:15:00 | 1 | 1_1 | 18,345.02 | 4.34 | clear | 0 | 0 | 0 |
2023-01-01T06:15:00 | 1 | 1_2 | 13,749.5 | 3.21 | clear | 0 | 4,595.52 | 0 |
2023-01-01T06:15:00 | 1 | 1_3 | 8,632.87 | 3.87 | clear | 0 | 5,116.63 | 0 |
2023-01-01T06:15:00 | 1 | 1_4 | 3,660.57 | 4.45 | clear | 0 | 4,972.3 | 0 |
2023-01-01T06:15:00 | 1 | 1_5 | 388.04 | 4.25 | clear | 0 | 3,272.53 | 0 |
2023-01-01T06:20:00 | 1 | 1_1 | 19,623.68 | 4.71 | clear | 0 | 0 | 0 |
2023-01-01T06:20:00 | 1 | 1_2 | 14,933.39 | 4.44 | clear | 0 | 4,690.29 | 0 |
2023-01-01T06:20:00 | 1 | 1_3 | 9,849.81 | 4.84 | clear | 0 | 5,083.58 | 0 |
2023-01-01T06:20:00 | 1 | 1_4 | 4,893.2 | 4.19 | clear | 0 | 4,956.61 | 0 |
2023-01-01T06:20:00 | 1 | 1_5 | 1,587.18 | 3.53 | clear | 0 | 3,306.02 | 0 |
2023-01-01T06:25:00 | 1 | 1_1 | 20,876.13 | 3.97 | clear | 0 | 0 | 0 |
2023-01-01T06:25:00 | 1 | 1_2 | 16,243.95 | 4.29 | clear | 0 | 4,632.18 | 0 |
2023-01-01T06:25:00 | 1 | 1_3 | 11,055.28 | 3.31 | clear | 0 | 5,188.68 | 0 |
2023-01-01T06:25:00 | 1 | 1_4 | 6,094.98 | 3.69 | clear | 0 | 4,960.29 | 0 |
2023-01-01T06:25:00 | 1 | 1_5 | 2,764.45 | 4.49 | clear | 0 | 3,330.53 | 0 |
2023-01-01T06:30:00 | 1 | 1_1 | 22,052.85 | 4.24 | clear | 0 | 0 | 0 |
2023-01-01T06:30:00 | 1 | 1_2 | 17,497.8 | 4.54 | clear | 0 | 4,555.06 | 0 |
2023-01-01T06:30:00 | 1 | 1_3 | 12,136.61 | 3.67 | clear | 0 | 5,361.19 | 0 |
2023-01-01T06:30:00 | 1 | 1_4 | 7,311.92 | 3.16 | clear | 0 | 4,824.68 | 0 |
2023-01-01T06:30:00 | 1 | 1_5 | 3,936.93 | 3.83 | clear | 0 | 3,374.99 | 0 |
2023-01-01T06:30:00 | 1 | 1_6 | 550.85 | 3.09 | clear | 0 | 3,386.08 | 0 |
2023-01-01T06:35:00 | 1 | 1_1 | 23,330.99 | 5.07 | clear | 0 | 0 | 0 |
2023-01-01T06:35:00 | 1 | 1_2 | 18,671.64 | 3.68 | clear | 0 | 4,659.35 | 0 |
2023-01-01T06:35:00 | 1 | 1_3 | 13,368.72 | 3.6 | clear | 0 | 5,302.93 | 0 |
2023-01-01T06:35:00 | 1 | 1_4 | 8,478.79 | 4.14 | clear | 0 | 4,889.92 | 0 |
2023-01-01T06:35:00 | 1 | 1_5 | 5,098.34 | 4.14 | clear | 0 | 3,380.45 | 0 |
2023-01-01T06:35:00 | 1 | 1_6 | 1,793.4 | 4.63 | clear | 0 | 3,304.94 | 0 |
2023-01-01T06:40:00 | 1 | 1_1 | 24,593.1 | 4.84 | clear | 0 | 0 | 0 |
2023-01-01T06:40:00 | 1 | 1_2 | 19,863.8 | 4.21 | clear | 0 | 4,729.3 | 0 |
2023-01-01T06:40:00 | 1 | 1_3 | 14,609 | 4.54 | clear | 0 | 5,254.8 | 0 |
2023-01-01T06:40:00 | 1 | 1_4 | 9,682.85 | 3.97 | clear | 0 | 4,926.16 | 0 |
2023-01-01T06:40:00 | 1 | 1_5 | 6,256.54 | 3.75 | clear | 0 | 3,426.3 | 0 |
2023-01-01T06:40:00 | 1 | 1_6 | 2,980.46 | 4.68 | clear | 0 | 3,276.08 | 0 |
2023-01-01T06:45:00 | 1 | 1_1 | 25,797.33 | 4.38 | clear | 0 | 0 | 0 |
2023-01-01T06:45:00 | 1 | 1_2 | 21,073.31 | 4.08 | clear | 0 | 4,724.02 | 0 |
2023-01-01T06:45:00 | 1 | 1_3 | 15,906.63 | 3.69 | clear | 0 | 5,166.68 | 0 |
2023-01-01T06:45:00 | 1 | 1_4 | 10,899.6 | 3.78 | clear | 0 | 5,007.03 | 0 |
2023-01-01T06:45:00 | 1 | 1_5 | 7,502.57 | 4.37 | clear | 0 | 3,397.03 | 0 |
2023-01-01T06:45:00 | 1 | 1_6 | 4,223.17 | 3.96 | clear | 0 | 3,279.4 | 0 |
2023-01-01T06:45:00 | 1 | 1_7 | 832.26 | 4.41 | clear | 0 | 3,390.92 | 0 |
2023-01-01T06:50:00 | 1 | 1_1 | 27,083.44 | 4.62 | clear | 0 | 0 | 0 |
2023-01-01T06:50:00 | 1 | 1_2 | 22,348.51 | 4.56 | clear | 0 | 4,734.94 | 0 |
2023-01-01T06:50:00 | 1 | 1_3 | 17,146.6 | 4.64 | clear | 0 | 5,201.91 | 0 |
2023-01-01T06:50:00 | 1 | 1_4 | 12,125.39 | 4.71 | clear | 0 | 5,021.21 | 0 |
2023-01-01T06:50:00 | 1 | 1_5 | 8,744.7 | 5.52 | clear | 0 | 3,380.69 | 0 |
2023-01-01T06:50:00 | 1 | 1_6 | 5,427.44 | 4.02 | clear | 0 | 3,317.27 | 0 |
2023-01-01T06:50:00 | 1 | 1_7 | 2,033.67 | 3.5 | clear | 0 | 3,393.77 | 0 |
2023-01-01T06:55:00 | 1 | 1_1 | 28,440.13 | 4 | clear | 0 | 0 | 0 |
2023-01-01T06:55:00 | 1 | 1_2 | 23,646.32 | 5.21 | clear | 0 | 4,793.81 | 0 |
2023-01-01T06:55:00 | 1 | 1_3 | 18,313.33 | 4.18 | clear | 0 | 5,332.99 | 0 |
2023-01-01T06:55:00 | 1 | 1_4 | 13,321.5 | 3.77 | clear | 0 | 4,991.83 | 0 |
2023-01-01T06:55:00 | 1 | 1_5 | 9,903.09 | 3.58 | clear | 0 | 3,418.41 | 0 |
2023-01-01T06:55:00 | 1 | 1_6 | 6,653.86 | 3.25 | clear | 0 | 3,249.23 | 0 |
2023-01-01T06:55:00 | 1 | 1_7 | 3,265.63 | 4.17 | clear | 0 | 3,388.23 | 0 |
2023-01-01T07:00:00 | 1 | 1_1 | 29,653.25 | 3.33 | clear | 0 | 0 | 0 |
2023-01-01T07:00:00 | 1 | 1_2 | 24,847.05 | 4.35 | clear | 0 | 4,806.2 | 0 |
2023-01-01T07:00:00 | 1 | 1_3 | 19,545.99 | 5.18 | clear | 0 | 5,301.06 | 0 |
2023-01-01T07:00:00 | 1 | 1_4 | 14,564.27 | 4.09 | clear | 0 | 4,981.72 | 0 |
2023-01-01T07:00:00 | 1 | 1_5 | 11,099.33 | 4.39 | clear | 0 | 3,464.94 | 0 |
2023-01-01T07:00:00 | 1 | 1_6 | 7,881.71 | 4.73 | clear | 0 | 3,217.62 | 0 |
2023-01-01T07:00:00 | 1 | 1_7 | 4,394.73 | 3.37 | clear | 0 | 3,486.98 | 0 |
2023-01-01T07:00:00 | 1 | 1_8 | 1,160.25 | 4.28 | clear | 0 | 3,234.48 | 0 |
2023-01-01T07:05:00 | 1 | 1_1 | 30,822.4 | 4.33 | clear | 0 | 0 | 0 |
2023-01-01T07:05:00 | 1 | 1_2 | 26,094.74 | 3.58 | clear | 0 | 4,727.66 | 0 |
2023-01-01T07:05:00 | 1 | 1_3 | 20,792.87 | 3.75 | clear | 0 | 5,301.86 | 0 |
2023-01-01T07:05:00 | 1 | 1_4 | 15,763.03 | 4.05 | clear | 0 | 5,029.84 | 0 |
2023-01-01T07:05:00 | 1 | 1_5 | 12,347.66 | 5.13 | clear | 0 | 3,415.37 | 0 |
2023-01-01T07:05:00 | 1 | 1_6 | 9,106.72 | 4.02 | clear | 0 | 3,240.94 | 0 |
2023-01-01T07:05:00 | 1 | 1_7 | 5,480.19 | 3.06 | clear | 0 | 3,626.53 | 0 |
2023-01-01T07:05:00 | 1 | 1_8 | 2,438.35 | 4.91 | clear | 0 | 3,041.83 | 0 |
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