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RuizhiDeng
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BRAIN-MAGNET

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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    UnicodeDecodeError
Message:      'utf-8' codec can't decode byte 0x80 in position 32: invalid start byte
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1854, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/text/text.py", line 73, in _generate_tables
                  batch = f.read(self.config.chunksize)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 826, in read_with_retries
                  out = read(*args, **kwargs)
                File "/usr/local/lib/python3.9/codecs.py", line 322, in decode
                  (result, consumed) = self._buffer_decode(data, self.errors, final)
              UnicodeDecodeError: 'utf-8' codec can't decode byte 0x80 in position 32: invalid start byte
              
              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 1420, 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 1052, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, 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 1897, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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chr1 191043 chr1:191042-192042 Category_1 MIR6859-3 0 8.90927171871077e-07 0.1
chr1 191044 chr1:191042-192042 Category_1 MIR6859-3 -0.000962865780602442 74.8237238225551 80.9
chr1 191045 chr1:191042-192042 Category_1 MIR6859-3 0.000135944713401841 16.1737840759597 15.8
chr1 191046 chr1:191042-192042 Category_1 MIR6859-3 -0.000371471265825676 39.9462735278275 43.3
chr1 191047 chr1:191042-192042 Category_1 MIR6859-3 -0.000740376792091411 65.1636713398173 70.7
chr1 191048 chr1:191042-192042 Category_1 MIR6859-3 7.89513869676739e-06 1.14900382760132 1.5
chr1 191049 chr1:191042-192042 Category_1 MIR6859-3 -0.000253570501081413 28.7875167204757 31
chr1 191050 chr1:191042-192042 Category_1 MIR6859-3 -1.64741596381646e-05 2.18438325833805 2.7
chr1 191051 chr1:191042-192042 Category_1 MIR6859-3 4.54330612410558e-05 5.65640752149228 6.5
chr1 191052 chr1:191042-192042 Category_1 MIR6859-3 -0.000577788317750674 55.7194620011543 59.6
chr1 191053 chr1:191042-192042 Category_1 MIR6859-3 0.0001606274929145 18.9304944948719 18.4
chr1 191054 chr1:191042-192042 Category_1 MIR6859-3 -0.000205451255096705 23.7938743767742 25.1
chr1 191055 chr1:191042-192042 Category_1 MIR6859-3 -0.000933505825087195 73.726967528021 79.6
chr1 191056 chr1:191042-192042 Category_1 MIR6859-3 -0.000463677728403127 47.5683791059047 50.9
chr1 191057 chr1:191042-192042 Category_1 MIR6859-3 -0.00020110324214329 23.3310893847631 24.1
chr1 191058 chr1:191042-192042 Category_1 MIR6859-3 -0.000476622986170696 48.5637371971538 51.3
chr1 191059 chr1:191042-192042 Category_1 MIR6859-3 -0.000911905813627527 72.8890220132068 78.5
chr1 191060 chr1:191042-192042 Category_1 MIR6859-3 -0.000247456621837046 28.1668621063906 30.4
chr1 191061 chr1:191042-192042 Category_1 MIR6859-3 -0.000215994649770437 24.9081641180507 26.6
chr1 191062 chr1:191042-192042 Category_1 MIR6859-3 -0.000382486843082006 40.9088454991517 44.3
chr1 191063 chr1:191042-192042 Category_1 MIR6859-3 -0.000212405095953727 24.5301357006813 26.1
chr1 191064 chr1:191042-192042 Category_1 MIR6859-3 -0.00018071763421176 21.1332041251354 20.6
chr1 191065 chr1:191042-192042 Category_1 MIR6859-3 -0.000262523088276794 29.6903787527412 32.1
chr1 191066 chr1:191042-192042 Category_1 MIR6859-3 -4.9745266330774e-05 6.17010009210405 7
chr1 191067 chr1:191042-192042 Category_1 MIR6859-3 0.000225080977579637 25.8595130797909 27.7
chr1 191068 chr1:191042-192042 Category_1 MIR6859-3 2.86425428566872e-05 3.64844655265531 4.4
chr1 191069 chr1:191042-192042 Category_1 MIR6859-3 0.00048032384373073 48.8446162429209 51.9
chr1 191070 chr1:191042-192042 Category_1 MIR6859-3 0.000600579835590906 57.1872083884001 61.6
chr1 191071 chr1:191042-192042 Category_1 MIR6859-3 0.00034307945479668 37.4033874120187 40.2
chr1 191072 chr1:191042-192042 Category_1 MIR6859-3 0.000271971026886604 30.6318214952573 32.5
chr1 191073 chr1:191042-192042 Category_1 MIR6859-3 0.000109784185242461 13.1970511736095 13.5
chr1 191074 chr1:191042-192042 Category_1 MIR6859-3 0.000294657142148935 32.8537608975984 34.2
chr1 191075 chr1:191042-192042 Category_1 MIR6859-3 0.000208572500760056 24.1246435623117 25.6
chr1 191076 chr1:191042-192042 Category_1 MIR6859-3 0.000187704623276659 21.8907381171252 22
chr1 191077 chr1:191042-192042 Category_1 MIR6859-3 0.000341879011757555 37.2945455122127 39.9
chr1 191078 chr1:191042-192042 Category_1 MIR6859-3 0.000646485284723894 59.9971053776186 65
chr1 191079 chr1:191042-192042 Category_1 MIR6859-3 0.000274480513508024 30.8797718727521 32.7
chr1 191080 chr1:191042-192042 Category_1 MIR6859-3 -0.000187393708220043 21.8570681974459 21.8
chr1 191081 chr1:191042-192042 Category_1 MIR6859-3 0.000210708621925733 24.3506628765437 25.9
chr1 191082 chr1:191042-192042 Category_1 MIR6859-3 0.000528278594174481 52.3514338849182 56
chr1 191083 chr1:191042-192042 Category_1 MIR6859-3 -0.000191379638417857 22.2877940661043 22.7
chr1 191084 chr1:191042-192042 Category_1 MIR6859-3 0.000171608198361355 20.1394577211402 19.6
chr1 191085 chr1:191042-192042 Category_1 MIR6859-3 -0.000597870424826397 57.0153048815147 61.4
chr1 191086 chr1:191042-192042 Category_1 MIR6859-3 0.000556091432918038 54.2735192745857 58.5
chr1 191087 chr1:191042-192042 Category_1 MIR6859-3 0.000545139502319216 53.5256349147944 57
chr1 191088 chr1:191042-192042 Category_1 MIR6859-3 -0.000205032536541694 23.7490839041355 25
chr1 191089 chr1:191042-192042 Category_1 MIR6859-3 -0.000308835291943979 34.2143741833539 35.8
chr1 191090 chr1:191042-192042 Category_1 MIR6859-3 0.000349864725358202 38.0199642524382 41.1
chr1 191091 chr1:191042-192042 Category_1 MIR6859-3 -0.00037957884494972 40.656240027184 43.9
chr1 191092 chr1:191042-192042 Category_1 MIR6859-3 0.000301788697070151 33.540862642016 34.9
chr1 191093 chr1:191042-192042 Category_1 MIR6859-3 0.000324309459610959 35.6729698576174 37.4
chr1 191094 chr1:191042-192042 Category_1 MIR6859-3 0.000543834524505655 53.4360771336236 56.9
chr1 191095 chr1:191042-192042 Category_1 MIR6859-3 0.00042420681558724 44.4253403920899 48
chr1 191096 chr1:191042-192042 Category_1 MIR6859-3 -5.47186217590934e-05 6.76061731274626 7.8
chr1 191097 chr1:191042-192042 Category_1 MIR6859-3 0.000180477440226241 21.1070705584029 20.5
chr1 191098 chr1:191042-192042 Category_1 MIR6859-3 0.000525997263321187 52.1897938590528 55.8
chr1 191099 chr1:191042-192042 Category_1 MIR6859-3 0.000188330666569527 21.9584058176832 22.1
chr1 191100 chr1:191042-192042 Category_1 MIR6859-3 0.000312258323901915 34.5396196204258 36.2
chr1 191101 chr1:191042-192042 Category_1 MIR6859-3 0.000300507569409092 33.4175832673899 34.7
chr1 191102 chr1:191042-192042 Category_1 MIR6859-3 0.000204068422826822 23.6465952059922 24.6
chr1 191103 chr1:191042-192042 Category_1 MIR6859-3 0.000700045744306408 63.0327196567578 68.1
chr1 191104 chr1:191042-192042 Category_1 MIR6859-3 0.000510742372789537 51.0977532420394 54.6
chr1 191105 chr1:191042-192042 Category_1 MIR6859-3 0.00061975678690942 58.3843142649379 62.9
chr1 191106 chr1:191042-192042 Category_1 MIR6859-3 0.000596650331499404 56.9375759404048 61.2
chr1 191107 chr1:191042-192042 Category_1 MIR6859-3 0.00056612671847688 54.9474192601705 59.4
chr1 191108 chr1:191042-192042 Category_1 MIR6859-3 0.00045896819094196 47.2015478612313 50.6
chr1 191109 chr1:191042-192042 Category_1 MIR6859-3 5.09231881005689e-05 6.310292828161 7.2
chr1 191110 chr1:191042-192042 Category_1 MIR6859-3 -0.000534109059044567 52.7614056051079 56.2
chr1 191111 chr1:191042-192042 Category_1 MIR6859-3 -0.00038916918594623 41.4865404959364 45.6
chr1 191112 chr1:191042-192042 Category_1 MIR6859-3 0.000182345568391611 21.3100014949758 20.8
chr1 191113 chr1:191042-192042 Category_1 MIR6859-3 0.000217639409092953 25.0809353880015 26.9
chr1 191114 chr1:191042-192042 Category_1 MIR6859-3 0.000295678555121412 32.952658268312 34.3
chr1 191115 chr1:191042-192042 Category_1 MIR6859-3 0.00066649538675847 61.1608139581916 65.7
chr1 191116 chr1:191042-192042 Category_1 MIR6859-3 0.00106304395543702 78.2221664105845 83.7
chr1 191117 chr1:191042-192042 Category_1 MIR6859-3 0.000636756848689402 59.4179759880872 64.3
chr1 191118 chr1:191042-192042 Category_1 MIR6859-3 0.00178475492481084 92.2763278334023 95.4
chr1 191119 chr1:191042-192042 Category_1 MIR6859-3 0.00223381296804291 95.9829038203135 98.2
chr1 191120 chr1:191042-192042 Category_1 MIR6859-3 0.00178203814197332 92.2462724052593 95.3
chr1 191121 chr1:191042-192042 Category_1 MIR6859-3 0.000867571573362511 71.0796353470723 76.5
chr1 191122 chr1:191042-192042 Category_1 MIR6859-3 0.00109639394184342 79.2461954291516 84.4
chr1 191123 chr1:191042-192042 Category_1 MIR6859-3 -0.000154161617392674 18.2149000085707 18
chr1 191124 chr1:191042-192042 Category_1 MIR6859-3 0.000340570208791178 37.1753109469469 39.8
chr1 191125 chr1:191042-192042 Category_1 MIR6859-3 0.000858787257966469 70.7075111040708 76.3
chr1 191126 chr1:191042-192042 Category_1 MIR6859-3 1.48609327879967e-05 1.98971032572119 2.5
chr1 191127 chr1:191042-192042 Category_1 MIR6859-3 -6.85496511141537e-05 8.39669904355404 9.5
chr1 191128 chr1:191042-192042 Category_1 MIR6859-3 0.000149903138481022 17.7398335854954 17.4
chr1 191129 chr1:191042-192042 Category_1 MIR6859-3 -0.000459170071517292 47.2173484546245 50.7
chr1 191130 chr1:191042-192042 Category_1 MIR6859-3 -0.000505578894953942 50.721891559552 54.2
chr1 191131 chr1:191042-192042 Category_1 MIR6859-3 0.000200493330703466 23.2657808593563 23.9
chr1 191132 chr1:191042-192042 Category_1 MIR6859-3 0.00038512053546583 41.1374761209245 44.7
chr1 191133 chr1:191042-192042 Category_1 MIR6859-3 -0.0012804028755636 84.0698960876002 87.9
chr1 191134 chr1:191042-192042 Category_1 MIR6859-3 0.000443263689267042 45.9646674320325 49.7
chr1 191135 chr1:191042-192042 Category_1 MIR6859-3 -0.000638235018996056 59.5061367954526 64.4
chr1 191136 chr1:191042-192042 Category_1 MIR6859-3 -0.000587862340325955 56.3736831873668 60.7
chr1 191137 chr1:191042-192042 Category_1 MIR6859-3 -0.000113652584404917 13.6402794232708 14.1
chr1 191138 chr1:191042-192042 Category_1 MIR6859-3 -0.000368974383745808 39.7267303632078 43.2
chr1 191139 chr1:191042-192042 Category_1 MIR6859-3 -0.000597620691623888 56.9995497254073 61.3
chr1 191140 chr1:191042-192042 Category_1 MIR6859-3 0.000335657420218922 36.7253847068075 39.1
chr1 191141 chr1:191042-192042 Category_1 MIR6859-3 -0.000583370150761766 56.0831037265524 60
chr1 191142 chr1:191042-192042 Category_1 MIR6859-3 -9.14316060516285e-05 11.0756546844683 11.2
End of preview.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

BRAIN-MAGNET: A novel functional genomics atlas coupled with convolutional neural networks facilitates clinical interpretation of disease relevant variants in non-coding regulatory elements.

For more information check out our paper, and the UCSC tracks of data are available here.
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