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The dataset generation failed
Error code: DatasetGenerationError
Exception: UnicodeDecodeError
Message: 'utf-8' codec can't decode byte 0x92 in position 1494: 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 0x92 in position 1494: 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 1438, 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 1050, 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 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.
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PatientID AdmissionID AdmissionStartDate AdmissionEndDate |
7A025E77-7832-4F53-B9A7-09A3F98AC17E 7 2011-10-12 14:55:02.027 2011-10-22 01:16:07.557 |
DCE5AEB8-6DB9-4106-8AE4-02CCC5C23741 1 1993-02-11 18:57:04.003 1993-02-24 17:22:29.713 |
DCE5AEB8-6DB9-4106-8AE4-02CCC5C23741 2 2002-11-28 19:06:31.117 2002-12-04 19:14:40.797 |
DCE5AEB8-6DB9-4106-8AE4-02CCC5C23741 3 2011-07-19 18:42:45.287 2011-07-25 04:57:42.053 |
886B5885-1EE2-49F3-98D5-A2F02EB8A9D4 1 1994-12-03 22:20:46.077 1994-12-20 20:24:56.010 |
886B5885-1EE2-49F3-98D5-A2F02EB8A9D4 2 2007-10-26 23:43:13.310 2007-11-01 06:54:26.723 |
886B5885-1EE2-49F3-98D5-A2F02EB8A9D4 3 2009-05-24 16:55:08.567 2009-05-26 20:15:49.657 |
0E0EADE8-5592-4E0B-9F88-D7596E32EE08 1 1970-05-12 08:54:02.500 1970-05-23 21:22:35.027 |
0E0EADE8-5592-4E0B-9F88-D7596E32EE08 2 2002-01-09 00:46:30.870 2002-01-12 19:17:15.703 |
0E0EADE8-5592-4E0B-9F88-D7596E32EE08 3 2008-02-27 05:36:05.627 2008-03-07 01:56:29.463 |
0681FA35-A794-4684-97BD-00B88370DB41 1 1998-06-21 17:02:06.170 1998-07-09 14:19:27.510 |
0681FA35-A794-4684-97BD-00B88370DB41 2 2010-11-06 11:41:58.847 2010-11-21 17:39:59.450 |
2E26695A-EFB0-4C7F-9318-E3030B154E39 1 1988-01-01 21:46:12.720 1988-01-04 08:06:58.813 |
2E26695A-EFB0-4C7F-9318-E3030B154E39 2 2012-10-16 18:00:50.050 2012-10-28 15:50:09.043 |
DDC0BC57-7A4E-4E02-9282-177750B74FBC 1 1947-03-19 13:22:34.717 1947-03-26 22:43:46.597 |
DDC0BC57-7A4E-4E02-9282-177750B74FBC 2 1999-09-02 00:00:01.583 1999-09-05 01:26:43.363 |
DDC0BC57-7A4E-4E02-9282-177750B74FBC 3 2005-07-28 01:50:58.930 2005-08-06 09:47:44.790 |
DDC0BC57-7A4E-4E02-9282-177750B74FBC 4 2009-04-09 19:08:50.537 2009-04-16 20:22:37.603 |
E250799D-F6DE-4914-ADB4-B08A6E5029B9 1 1967-06-02 08:43:45.987 1967-06-14 09:59:12.247 |
E250799D-F6DE-4914-ADB4-B08A6E5029B9 2 1983-11-10 04:11:38.053 1983-11-26 04:07:03.140 |
E250799D-F6DE-4914-ADB4-B08A6E5029B9 3 1999-04-23 00:03:27.033 1999-05-07 10:14:04.287 |
E250799D-F6DE-4914-ADB4-B08A6E5029B9 4 2001-11-11 02:54:41.303 2001-11-14 08:07:24.370 |
E250799D-F6DE-4914-ADB4-B08A6E5029B9 5 2010-07-21 19:55:14.637 2010-08-09 17:59:47.437 |
9C75DF1F-9DA6-4C98-8F5B-E10BDC805ED0 1 1980-07-19 06:43:54.880 1980-07-25 12:16:06.527 |
9C75DF1F-9DA6-4C98-8F5B-E10BDC805ED0 2 2010-10-24 17:36:06.953 2010-11-07 11:56:48.743 |
A19A0B00-4C9A-4206-B1FE-17E6DA3CEB0B 1 1989-06-14 08:22:05.597 1989-06-20 23:50:43.837 |
A19A0B00-4C9A-4206-B1FE-17E6DA3CEB0B 2 1995-05-31 09:17:32.943 1995-06-14 21:53:25.230 |
A19A0B00-4C9A-4206-B1FE-17E6DA3CEB0B 3 2009-11-26 01:44:30.783 2009-11-28 04:11:10.680 |
E5478913-6819-4977-BB11-4C8B61175B56 1 2003-11-02 09:24:12.913 2003-11-22 05:04:47.533 |
E5478913-6819-4977-BB11-4C8B61175B56 2 2012-08-08 05:21:56.187 2012-08-18 15:13:45.687 |
66154E24-D3EE-4311-89DB-6195278F9B3C 1 1964-12-17 00:01:55.227 1964-12-24 11:46:04.590 |
66154E24-D3EE-4311-89DB-6195278F9B3C 2 1983-11-01 14:05:42.103 1983-11-10 02:00:24.117 |
66154E24-D3EE-4311-89DB-6195278F9B3C 3 1984-10-16 16:46:02.203 1984-10-30 11:03:40.367 |
66154E24-D3EE-4311-89DB-6195278F9B3C 4 2005-09-21 10:57:04.053 2005-10-09 12:44:36.707 |
66154E24-D3EE-4311-89DB-6195278F9B3C 5 2009-06-25 18:46:14.813 2009-07-10 10:08:45.813 |
BC44CE19-9FC5-4AC9-A296-9EBC5E3D03AE 1 1972-11-19 13:27:59.980 1972-11-24 20:51:54.413 |
BC44CE19-9FC5-4AC9-A296-9EBC5E3D03AE 2 2002-07-07 17:13:06.863 2002-07-23 18:13:02.260 |
BC44CE19-9FC5-4AC9-A296-9EBC5E3D03AE 3 2011-06-14 08:31:38.107 2011-06-25 00:29:44.100 |
CC9CDA72-B37A-4F8F-AFE4-B08F56A183BE 1 1967-04-12 04:38:52.120 1967-04-28 07:08:18.400 |
CC9CDA72-B37A-4F8F-AFE4-B08F56A183BE 2 2011-01-02 01:15:20.380 2011-01-16 20:33:22.587 |
EA9B67E2-15F0-450B-A8A6-14F6E4AE3D12 1 1948-07-05 14:58:24.420 1948-07-21 05:49:35.460 |
EA9B67E2-15F0-450B-A8A6-14F6E4AE3D12 2 1988-05-21 20:16:46.237 1988-05-26 10:39:11.473 |
EA9B67E2-15F0-450B-A8A6-14F6E4AE3D12 3 2010-08-22 10:47:02.917 2010-09-03 03:42:32.747 |
3E462A8F-7B90-43A1-A8B6-AD82CB5002C9 1 2013-01-14 04:37:39.037 2013-01-29 14:53:17.903 |
9E18822E-7D13-45C7-B50E-F95CFF92BC3E 1 1978-08-19 01:42:03.143 1978-08-29 21:16:16.157 |
9E18822E-7D13-45C7-B50E-F95CFF92BC3E 2 2003-05-10 00:00:51.820 2003-05-19 01:36:47.843 |
9E18822E-7D13-45C7-B50E-F95CFF92BC3E 3 2009-03-07 05:34:03.073 2009-03-25 07:13:28.233 |
A7142B71-A144-4D56-BD14-3E966B01DB37 1 1983-09-15 16:32:28.587 1983-09-21 17:24:27.270 |
A7142B71-A144-4D56-BD14-3E966B01DB37 2 1992-06-13 21:58:11.263 1992-06-30 17:16:38.870 |
A7142B71-A144-4D56-BD14-3E966B01DB37 3 1993-04-01 00:41:35.363 1993-04-05 07:16:17.447 |
A7142B71-A144-4D56-BD14-3E966B01DB37 4 1997-03-10 13:21:34.317 1997-03-14 11:31:59.847 |
A7142B71-A144-4D56-BD14-3E966B01DB37 5 2008-08-15 22:41:51.243 2008-08-22 02:09:57.560 |
FE0B9B59-1927-45B7-8556-E079DC1DE30A 1 1978-09-18 14:59:25.877 1978-09-24 10:26:14.790 |
FE0B9B59-1927-45B7-8556-E079DC1DE30A 2 1996-07-18 11:54:05.500 1996-07-28 23:48:09.407 |
FE0B9B59-1927-45B7-8556-E079DC1DE30A 3 2010-06-14 06:39:54.093 2010-06-22 10:21:08.230 |
98F593D2-8894-49BB-93B9-5A0E2CF85E2E 1 1965-08-08 03:44:16.423 1965-08-24 03:53:46.330 |
98F593D2-8894-49BB-93B9-5A0E2CF85E2E 2 1967-04-04 19:57:22.033 1967-04-11 05:42:10.533 |
98F593D2-8894-49BB-93B9-5A0E2CF85E2E 3 1987-07-21 01:39:09.930 1987-07-31 14:32:45.883 |
98F593D2-8894-49BB-93B9-5A0E2CF85E2E 4 2005-01-17 16:06:58.350 2005-01-24 03:16:22.850 |
98F593D2-8894-49BB-93B9-5A0E2CF85E2E 5 2008-09-12 11:54:45.020 2008-09-23 08:39:17.050 |
1A220558-5996-43E1-AE5D-7B96180FED35 1 1964-02-25 17:05:08.243 1964-03-16 15:09:11.637 |
1A220558-5996-43E1-AE5D-7B96180FED35 2 1979-04-18 18:32:25.843 1979-04-21 04:18:01.013 |
1A220558-5996-43E1-AE5D-7B96180FED35 3 2012-06-09 18:41:49.740 2012-06-25 08:17:55.600 |
7A7332AD-88B1-4848-9356-E5260E477C59 1 1968-09-24 07:49:35.537 1968-10-11 13:09:40.553 |
7A7332AD-88B1-4848-9356-E5260E477C59 2 1979-02-10 02:09:18.110 1979-02-23 09:01:35.220 |
7A7332AD-88B1-4848-9356-E5260E477C59 3 1985-05-16 23:24:40.390 1985-06-03 18:10:24.500 |
7A7332AD-88B1-4848-9356-E5260E477C59 4 2006-01-16 08:54:35.720 2006-02-02 07:25:33.990 |
7A7332AD-88B1-4848-9356-E5260E477C59 5 2009-08-22 13:04:16.677 2009-09-10 01:16:39.053 |
6D5DCAC1-17FE-4D7C-923B-806EFBA3E6DF 1 1980-02-22 23:13:21.727 1980-03-02 22:43:57.087 |
6D5DCAC1-17FE-4D7C-923B-806EFBA3E6DF 2 2001-02-02 22:56:06.847 2001-02-17 09:59:46.473 |
6D5DCAC1-17FE-4D7C-923B-806EFBA3E6DF 3 2001-05-18 00:24:34.150 2001-05-26 01:03:12.713 |
6D5DCAC1-17FE-4D7C-923B-806EFBA3E6DF 4 2011-11-10 14:09:32.013 2011-11-16 22:45:43.603 |
36E2F89E-777A-4D77-9D95-0D70A8AB416F 1 2000-03-30 05:44:33.073 2000-04-18 04:09:54.043 |
36E2F89E-777A-4D77-9D95-0D70A8AB416F 2 2004-11-11 16:12:00.153 2004-11-20 02:39:47.213 |
36E2F89E-777A-4D77-9D95-0D70A8AB416F 3 2008-07-17 01:23:05.590 2008-07-20 08:40:07.723 |
672D554B-D6D1-40B2-A6A4-21A4CB6B1AA6 1 2006-10-31 09:01:42.630 2006-11-03 06:31:05.643 |
672D554B-D6D1-40B2-A6A4-21A4CB6B1AA6 2 2009-02-06 03:02:12.050 2009-02-17 21:50:21.223 |
03A481F5-B32A-4A91-BD42-43EB78FEBA77 1 1988-11-25 10:01:04.613 1988-12-01 01:41:51.760 |
03A481F5-B32A-4A91-BD42-43EB78FEBA77 2 2008-02-19 17:23:11.790 2008-03-05 07:50:00.083 |
2A5251B1-0945-47FA-A65C-7A6381562591 1 1962-06-27 17:38:36.307 1962-07-13 07:11:10.357 |
2A5251B1-0945-47FA-A65C-7A6381562591 2 1994-05-06 04:57:00.433 1994-05-20 08:06:03.480 |
2A5251B1-0945-47FA-A65C-7A6381562591 3 1998-11-01 20:26:51.947 1998-11-07 18:26:11.330 |
2A5251B1-0945-47FA-A65C-7A6381562591 4 2001-02-06 20:48:36.210 2001-02-16 14:25:20.277 |
2A5251B1-0945-47FA-A65C-7A6381562591 5 2001-07-04 01:46:42.637 2001-07-09 17:50:38.630 |
2A5251B1-0945-47FA-A65C-7A6381562591 6 2009-12-05 06:03:08.493 2009-12-16 17:19:47.710 |
8AF47463-8534-4203-B210-C2290F6CE689 1 1974-11-22 11:00:35.987 1974-11-29 20:15:28.313 |
8AF47463-8534-4203-B210-C2290F6CE689 2 1998-03-10 07:54:00.890 1998-03-26 02:14:34.737 |
8AF47463-8534-4203-B210-C2290F6CE689 3 2005-03-23 02:32:09.067 2005-04-03 07:38:26.190 |
8AF47463-8534-4203-B210-C2290F6CE689 4 2005-12-30 05:22:23.737 2006-01-02 10:16:19.067 |
8AF47463-8534-4203-B210-C2290F6CE689 5 2011-11-18 01:01:27.167 2011-11-20 19:23:46.317 |
135C831F-7DA5-46C0-959C-EBCBD8810B43 1 1993-04-24 06:21:44.210 1993-04-30 07:05:16.027 |
135C831F-7DA5-46C0-959C-EBCBD8810B43 2 2001-02-17 08:12:52.013 2001-02-22 05:45:07.190 |
135C831F-7DA5-46C0-959C-EBCBD8810B43 3 2002-03-22 09:13:51.577 2002-03-26 19:03:47.040 |
135C831F-7DA5-46C0-959C-EBCBD8810B43 4 2007-09-30 01:46:55.247 2007-10-05 17:55:31.143 |
135C831F-7DA5-46C0-959C-EBCBD8810B43 5 2010-08-26 05:15:19.353 2010-09-02 19:07:43.873 |
8856096E-E59C-4156-A767-C091AF799C80 1 2008-02-03 21:36:34.200 2008-02-11 21:48:33.480 |
6623F5D6-D581-4268-9F9B-21612FBBF7B5 1 1962-07-16 22:31:39.413 1962-08-03 20:12:50.693 |
6623F5D6-D581-4268-9F9B-21612FBBF7B5 2 1965-09-23 22:38:23.817 1965-10-02 03:55:42.533 |
6623F5D6-D581-4268-9F9B-21612FBBF7B5 3 1970-04-24 03:03:41.243 1970-05-08 10:28:24.230 |
End of preview.
#################################################################################################################
A 100-patient database that contains in total 100 patients, 372 admissions, and 111,483 lab observations.
Created by: Uri Kartoun, PhD, Copyright 2014 (https://urikartoun.com/).
#############################################################################################################################
The Problem: It is difficult and expensive to access Electronic Medical Records (EMRs) due to privacy concerns and technical problems. I am a student or a researcher working at a university that does not have yet an access to EMR system and I am interested in evaluating machine learning algorithms. Tedious bureaucracy. I am teaching a computer science course and I wish to let my 150 students to experiment with electronic medical records. Not possible due to privacy issues. I am in a process of founding a company focused on developing a new EMR management platform and I want to demonstrate to a venture capital company and to potential customers the ability of my product to handle big data. Current simulated medical databases are limited and are hard to configure.
The Solution: A database of artificial patients. The data is generated according to pre-defined criteria and is not based on any human data. The database contains the same characteristics that exist in a real medical database such as patients admission details, demographics, socioeconomic details, labs, medications, etc. The database is customizable. For example, it is possible to generate a population of 100,000 patients of which 60% are male, 40% are African American, 15% are diabetic, specific lab range distributions can be set, etc. The number of records can range from several thousands to millions, depending on the desired configuration.
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