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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowInvalid
Message: Float value 0.123 was truncated converting to int64
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in cast_table_to_schema
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in <listcomp>
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, 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 1802, 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 2020, in cast_array_to_feature
arrays = [_c(array.field(name), subfeature) for name, subfeature in feature.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2020, in <listcomp>
arrays = [_c(array.field(name), subfeature) for name, subfeature in feature.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1804, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2116, in cast_array_to_feature
return array_cast(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1804, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1963, 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: Float value 0.123 was truncated converting to 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 1524, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1099, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, 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 2038, 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.
@odata.context
string | frequency
int64 | dataX
sequence | data
list | segmentsData
dict |
|---|---|---|---|---|
http://192.168.6.15/api/v4/$metadata#Medmon.EcgDataApi | 500 | [0.0,0.002,0.004,0.006,0.008,0.01,0.012,0.014,0.016,0.018,0.02,0.022,0.024,0.026,0.028,0.03,0.032,0.(...TRUNCATED) | [{"title":"I","values":[0.010238697599939272,0.00902639363836164,0.00883441650601308,0.0079670175968(...TRUNCATED) | {"pqAverageValue":0,"qtAverageValue":0,"stAverageValue":0,"pqIntervals":[],"qtIntervals":[],"stSegme(...TRUNCATED) |
http://192.168.6.15/api/v4/$metadata#Medmon.EcgDataApi | 500 | [0.0,0.002,0.004,0.006,0.008,0.01,0.012,0.014,0.016,0.018,0.02,0.022,0.024,0.026,0.028,0.03,0.032,0.(...TRUNCATED) | [{"title":"I","values":[-0.19204919820271385,-0.16168700097028402,-0.13357405875984235,-0.1087178621(...TRUNCATED) | {"pqAverageValue":0,"qtAverageValue":0,"stAverageValue":0,"pqIntervals":[],"qtIntervals":[],"stSegme(...TRUNCATED) |
http://192.168.6.15/api/v4/$metadata#Medmon.EcgDataApi | 500 | [0.0,0.002,0.004,0.006,0.008,0.01,0.012,0.014,0.016,0.018,0.02,0.022,0.024,0.026,0.028,0.03,0.032,0.(...TRUNCATED) | [{"title":"I","values":[-0.06444768114603353,-0.06460485273116512,-0.05416165717299959,-0.0322357479(...TRUNCATED) | {"pqAverageValue":0.123,"qtAverageValue":0.3539,"stAverageValue":0.1244,"pqIntervals":[{"indexOfFirs(...TRUNCATED) |
http://192.168.6.15/api/v4/$metadata#Medmon.EcgDataApi | 500 | [0.0,0.002,0.004,0.006,0.008,0.01,0.012,0.014,0.016,0.018,0.02,0.022,0.024,0.026,0.028,0.03,0.032,0.(...TRUNCATED) | [{"title":"I","values":[0.10450544410468408,0.10260305300709255,0.09595574124681122,0.08463284439636(...TRUNCATED) | {"pqAverageValue":0.0967,"qtAverageValue":0.365,"stAverageValue":0.1195,"pqIntervals":[{"indexOfFirs(...TRUNCATED) |
http://192.168.6.15/api/v4/$metadata#Medmon.EcgDataApi | 500 | [0.0,0.002,0.004,0.006,0.008,0.01,0.012,0.014,0.016,0.018,0.02,0.022,0.024,0.026,0.028,0.03,0.032,0.(...TRUNCATED) | [{"title":"I","values":[0.014993661467586974,0.008662880801621389,0.004641376230735654,0.00414176094(...TRUNCATED) | {"pqAverageValue":0.0874,"qtAverageValue":0.3602,"stAverageValue":0.0858,"pqIntervals":[{"indexOfFir(...TRUNCATED) |
http://192.168.6.15/api/v4/$metadata#Medmon.EcgDataApi | 500 | [0.0,0.002,0.004,0.006,0.008,0.01,0.012,0.014,0.016,0.018,0.02,0.022,0.024,0.026,0.028,0.03,0.032,0.(...TRUNCATED) | [{"title":"I","values":[-0.048094163254367536,-0.04386362830406088,-0.040033151275657666,-0.03640048(...TRUNCATED) | {"pqAverageValue":0.0825,"qtAverageValue":0.3671,"stAverageValue":0.0785,"pqIntervals":[{"indexOfFir(...TRUNCATED) |
http://192.168.6.15/api/v4/$metadata#Medmon.EcgDataApi | 500 | [0.0,0.002,0.004,0.006,0.008,0.01,0.012,0.014,0.016,0.018,0.02,0.022,0.024,0.026,0.028,0.03,0.032,0.(...TRUNCATED) | [{"title":"I","values":[-0.1720298608457035,-0.1381471928533835,-0.06007278530980501,0.0688884425330(...TRUNCATED) | {"pqAverageValue":0,"qtAverageValue":0,"stAverageValue":0,"pqIntervals":[],"qtIntervals":[],"stSegme(...TRUNCATED) |
http://192.168.6.15/api/v4/$metadata#Medmon.EcgDataApi | 500 | [0.0,0.002,0.004,0.006,0.008,0.01,0.012,0.014,0.016,0.018,0.02,0.022,0.024,0.026,0.028,0.03,0.032,0.(...TRUNCATED) | [{"title":"I","values":[0.1131532094846479,0.11222595037012538,0.11013556269575805,0.106072310579041(...TRUNCATED) | {"pqAverageValue":0,"qtAverageValue":0,"stAverageValue":0,"pqIntervals":[],"qtIntervals":[],"stSegme(...TRUNCATED) |
http://192.168.6.15/api/v4/$metadata#Medmon.EcgDataApi | 500 | [0.0,0.002,0.004,0.006,0.008,0.01,0.012,0.014,0.016,0.018,0.02,0.022,0.024,0.026,0.028,0.03,0.032,0.(...TRUNCATED) | [{"title":"I","values":[-0.1901804469911864,-0.14616334658338984,-0.0879028916014203,-0.020309804042(...TRUNCATED) | {"pqAverageValue":0.0658,"qtAverageValue":0.3796,"stAverageValue":0.1139,"pqIntervals":[{"indexOfFir(...TRUNCATED) |
http://192.168.6.15/api/v4/$metadata#Medmon.EcgDataApi | 500 | [0.0,0.002,0.004,0.006,0.008,0.01,0.012,0.014,0.016,0.018,0.02,0.022,0.024,0.026,0.028,0.03,0.032,0.(...TRUNCATED) | [{"title":"I","values":[0.21822900584593816,0.2105110505712715,0.20564538459138082,0.200052671310298(...TRUNCATED) | {"pqAverageValue":0.0563,"qtAverageValue":0.3772,"stAverageValue":0.11,"pqIntervals":[{"indexOfFirst(...TRUNCATED) |
End of preview.