J-MADRAL/P-BiBERT
Text Ranking • 0.1B • Updated • 10
Datasets:
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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowInvalid
Message: Failed to parse string: 'SQ03956' as a scalar of type int64
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
cast_array_to_feature(
File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/table.py", line 2143, in cast_array_to_feature
return array_cast(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1854, in wrapper
return func(array, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2006, in array_cast
return array.cast(pa_type)
^^^^^^^^^^^^^^^^^^^
File "pyarrow/array.pxi", line 1135, in pyarrow.lib.Array.cast
File "/usr/local/lib/python3.12/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
File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Failed to parse string: 'SQ03956' 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 1348, 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 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 890, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 951, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1683, 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 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.
query_id int64 | task string | p_rank list | n_rank list | hn_rank list |
|---|---|---|---|---|
0 | p | [
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8 | p | [
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1885348045,... |
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1000
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[
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1000
],
[
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1000
],
[
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22 | p | [
[
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1000
],
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1000,
1000
]
] | [
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1000
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1000
],
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1000
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1000
... | [
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1000
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1000
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[
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1000
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1000
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1000
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[
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1000
],
[
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1000
],
[
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23 | p | [
[
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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[
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1000
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[
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56,
1000
],
[
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24 | p | [
[
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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[
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25 | p | [
[
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1000
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[
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1000
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[
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1000
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99,
1000
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1000
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1000
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1000
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1000
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1000
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... | [
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1000
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1000
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1000
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1000
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1000
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[
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1000
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1000
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[
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26 | p | [
[
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1000
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1000
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1000
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[
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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[
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1000
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[
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28 | p | [
[
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1000
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1000
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[
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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[
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1000
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1000
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1000
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1000
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1000
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[
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1000
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[
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1000
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[
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29 | p | [
[
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1000
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[
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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[
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1000
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[
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1000
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[
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30 | p | [
[
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1000
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1000
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1000
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[
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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[
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1000
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[
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1000
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[
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32 | p | [
[
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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[
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1000
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[
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33 | p | [
[
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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[
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1000
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[
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1000
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[
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35 | p | [
[
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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[
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1000
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[
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38 | p | [
[
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1000
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1000
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1000
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1000
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1000
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1000
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1000,
1000
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1000
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[
... | [
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1000
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1000
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[
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39 | p | [
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1000
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1000
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1000
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1000
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1000
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[
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1000
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[
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40 | p | [
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1000
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1000
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[
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1000
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[
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1000
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[
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41 | p | [
[
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000,
1000
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[
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1000,
1000
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[
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1000,
1000
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1000
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1000
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[
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55,
1000
],
[
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56,
1000
],
[
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43 | p | [
[
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1000
],
[
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1,
1000
],
[
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[
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1000
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[
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[
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1000
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[
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56,
1000
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] | [
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1000
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[
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1000
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1000
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[
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1000
],
[
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55,
1000
],
[
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57,
1000
],
[
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44 | p | [
[
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0,
1000
],
[
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1,
1000
],
[
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3,
1000
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[
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[
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1000
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... | [
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1601065655,
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1000
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[
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1000
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[
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83 | p | [
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1000
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[
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[
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[
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[
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[
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[
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End of preview.
The training data used to train all the models in J-MADRAL.
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