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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'header' with no child field to Parquet. Consider adding a dummy child field.
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 642, in write_table
self._build_writer(inferred_schema=pa_table.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 457, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
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.ArrowNotImplementedError: Cannot write struct type 'header' with no child field to Parquet. Consider adding a dummy child field.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1847, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 661, in finalize
self._build_writer(self.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 457, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
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.ArrowNotImplementedError: Cannot write struct type 'header' with no child field to Parquet. Consider adding a dummy child field.
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 1451, 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 994, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, 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 1858, 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.
md5 string | sha1 string | sha256 string | tlsh string | first_submission_date int64 | last_analysis_date int64 | detection_ratio string | label int64 | file_type string | family string | family_confidence float64 | behavior list | file_property list | packer list | exploit list | group list | histogram list | byteentropy list | strings dict | general dict | header dict | section dict | imports dict | exports list | datadirectories list | richheader list | authenticode dict | pefilewarnings list | week_id int64 | caps list | ttps list | mbc list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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84acbf1cc74dc82f52e6f5cd3a055862 | da57b0df6cdb7ea93eabd673d0084e78340fda00 | 00d09006d12d8e72e97f71bdc3af08f257d0c4269ae2d6d6eb97b68debb0a332 | T1B9460286FB68992FC47750324DAA163266474D06CA83AB4779483B6C7C776D80F8DBCC | 1,695,872,010 | 1,698,382,858 | 7/76 | 1 | APK | spyloan | 0.29 | [] | [] | [] | [] | [] | [
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2ad7a060943851f16b73fe914c6aaa77 | fcd78345bce8a606cd4fa6104c3780d615d7bd8b | 00daa952799e3dc215b4c09fba4787e439658b4d3cde20a356fecb4bf10c4194 | T123D27E86FF915907CF7B42349CA5D51558264F0486524942FE80EA0C6AFBFCA4FDA3EC | 1,695,675,281 | 1,702,702,906 | 0/76 | 0 | APK | null | null | [] | [] | [] | [] | [] | [
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2751b862e80891332f021a81632c899d | d78e2ef8cabd0c95de0a578706d8ca2d4e94e533 | 00dacb86b4ea33c32bdc67536177852b9309bc6ad98e6b47a5bd251162c0165a | T1FAC6129BF749F896C0F3E3375271D136A91A4C258B03E6835A05B33C99F7BD04689AC9 | 1,695,533,312 | 1,695,533,312 | 19/75 | 1 | APK | metasploit | 0.637 | [
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04e514795e20f521e6b8ccae0837fa56 | 7332b2ad595d6734e93d8f05b4253b3fb3102f6e | 00dbb358c988bd0df3791425b06a0ea414de69b04f86c613c51bd74afdd99945 | T18597235AE32CA02DD8734E3D499F923191250D1A4A46EFC23845B70A26FF9C56F7AFD0 | 1,695,960,792 | 1,701,666,170 | 0/76 | 0 | APK | null | null | [] | [] | [] | [] | [] | [
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a4bf3bef78eeba778ca9b3cba9d5a1e5 | 091b7bc8a6d34875a2f812da6cde89c111fbfe33 | 00dbed3c860bc631100fba4abb066cc06dc7f52900f98c6ec71a73cd893396b6 | T1B0473300D50C992AE9CDF17CDE888792F72E72848264C6BA3231855DFDC6ED5971B3B2 | 1,695,696,961 | 1,701,925,853 | 0/76 | 0 | APK | null | null | [] | [] | [] | [] | [] | [
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8be614bfe137f5af2b4d9b9b38a289ee | bbca4404ea303f4ec5161551efba4f7c273b2173 | 00dd90f66125b13d7a5357886c6d616740564f56d3a1861525f6fd80cac810ee | T1BC471213F7808956C1E7C2B255E18D6978273D01A7570A1E625CF3B92FFDAEC131A32A | 1,696,045,771 | 1,697,856,287 | 12/76 | 1 | APK | wacatac | 0.157 | [] | [] | [] | [] | [] | [
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} | {} | {} | {} | [] | [] | [] | {} | [] | 0 | [] | [] | [] |
b199d42dc64a13cc2a6ba30636e3ec75 | 620e2a9663f7d0d089adfc8ab4ee97846632a20e | 00e065c7d328489808cf988c8661b61c7545308f1900fc4f0b2534610878a96b | T15CA633A6F2A5E81BCC32D131564B133014878D29F553E75A2848BB7AB8FF9EC1F452D8 | 1,695,606,097 | 1,702,364,968 | 0/76 | 0 | APK | null | null | [] | [] | [] | [] | [] | [
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} | {} | {} | {} | [] | [] | [] | {} | [] | 0 | [] | [] | [] |
a386b4e5241039a534d3b54ca59ae4cb | c96b0a46132a5bafe4ed6e3bc03a96754579d34e | 00ec1d1d9b08169781badc83e5d5bb5e9ab8a443b900c03aed5ce67e68d740b0 | T125672393E379AC1FD973E1B2423C01B754A64F50520FD76A2919B11CAEF7E81A981FE0 | 1,696,078,965 | 1,698,555,652 | 6/75 | 1 | APK | spyloan | 0.664 | [] | [] | [] | [] | [] | [
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} | {} | {} | {} | [] | [] | [] | {} | [] | 0 | [] | [] | [] |
556b5ca211ba6319547df24c09e0b306 | 0dfea72c49f818196294c7a82b1680887a850950 | 00ef59e7c59472f48cff25e235cde640b6ef997811f4afc182986f41513d4b1c | T13B8302DBE95CF283C617AB37F1BA7162D4E434158AE6999CDF94B80C0B8F52D4A80781 | 1,695,528,086 | 1,695,528,086 | 24/75 | 1 | APK | metasploit | 0.817 | [] | [] | [] | [] | [] | [
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} | {} | {} | {} | [] | [] | [] | {} | [] | 0 | [] | [] | [] |
852021e09d39479b0dee0aa3c65b82ea | 477a377eb018c8af2f39924366adbd2186b75257 | 010781dc18c76bdb59b9e6d8eb862c4c5b742ba2759ce6409eed08fa7458c1b3 | T172A62393F748E89BC2F7DA318275076256530DA84A83E7D31E11B12C9DBB8D05F5AEC8 | 1,695,956,212 | 1,696,131,964 | 13/76 | 1 | APK | hypay | 0.455 | [] | [] | [] | [] | [] | [
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End of preview.