Datasets:

kartoun
/

EMRBots_10000_patients

Error code:   DatasetGenerationError
Exception:    UnicodeDecodeError
Message:      'utf-8' codec can't decode byte 0x92 in position 1542: 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 1542: 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 1417, 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 1049, 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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text string
PatientID AdmissionID AdmissionStartDate AdmissionEndDate
43556DC2-BCFC-45A8-84C3-1D3E4A11B02F 1 1974-07-26 15:05:30.333 1974-07-30 22:27:44.987
43556DC2-BCFC-45A8-84C3-1D3E4A11B02F 2 1983-11-12 03:34:39.083 1983-11-30 19:05:54.040
43556DC2-BCFC-45A8-84C3-1D3E4A11B02F 3 1998-09-28 12:08:17.843 1998-10-08 12:56:31.233
43556DC2-BCFC-45A8-84C3-1D3E4A11B02F 4 1999-04-03 01:49:32.610 1999-04-09 14:04:29.210
43556DC2-BCFC-45A8-84C3-1D3E4A11B02F 5 2001-11-26 03:07:07.303 2001-12-01 08:22:03.783
43556DC2-BCFC-45A8-84C3-1D3E4A11B02F 6 2006-08-16 11:43:46.107 2006-08-25 12:33:03.220
43556DC2-BCFC-45A8-84C3-1D3E4A11B02F 7 2009-03-07 11:47:39.153 2009-03-24 17:41:31.607
9015B511-F1C9-47F4-AA23-E33E8829151F 1 1970-07-13 10:23:04.657 1970-07-26 13:57:57.183
9015B511-F1C9-47F4-AA23-E33E8829151F 2 2007-04-15 17:08:04.233 2007-04-22 00:44:41.250
9015B511-F1C9-47F4-AA23-E33E8829151F 3 2007-10-18 07:07:28.120 2007-10-29 07:46:16.940
9015B511-F1C9-47F4-AA23-E33E8829151F 4 2008-02-26 03:34:46.343 2008-03-01 14:45:07.517
566B1E03-DF8F-450F-A786-F30DFD134EB3 1 1995-02-01 00:13:15.507 1995-02-04 05:04:00.560
566B1E03-DF8F-450F-A786-F30DFD134EB3 2 2009-06-04 16:45:55.680 2009-06-17 03:54:23.847
67A4744C-EB52-4AA3-8886-BB29BDED0DC1 1 1973-10-30 17:32:24.713 1973-11-12 01:31:36.267
67A4744C-EB52-4AA3-8886-BB29BDED0DC1 2 1973-12-15 17:45:39.323 1973-12-18 14:58:11.537
67A4744C-EB52-4AA3-8886-BB29BDED0DC1 3 1978-04-07 00:33:53.927 1978-04-26 00:46:43.997
67A4744C-EB52-4AA3-8886-BB29BDED0DC1 4 2007-09-15 14:13:00.070 2007-10-01 01:12:39.590
67A4744C-EB52-4AA3-8886-BB29BDED0DC1 5 2010-10-29 12:36:54.017 2010-11-15 22:27:24.410
5F9EF6E0-04D1-48DE-959D-644717785F33 1 1975-06-04 16:52:49.003 1975-06-14 05:38:06.403
5F9EF6E0-04D1-48DE-959D-644717785F33 2 2012-02-09 22:45:24.820 2012-02-11 23:40:08.673
EEB94FF2-5E61-4B22-AB77-4F53B8932178 1 1963-12-27 07:29:08.960 1964-01-14 14:44:36.113
EEB94FF2-5E61-4B22-AB77-4F53B8932178 2 1977-07-24 13:31:22.280 1977-07-30 23:10:04.283
EEB94FF2-5E61-4B22-AB77-4F53B8932178 3 2004-09-22 06:52:16.857 2004-10-09 15:57:46.720
EEB94FF2-5E61-4B22-AB77-4F53B8932178 4 2011-05-07 23:14:56.273 2011-05-25 13:07:17.930
F8482669-5679-42E2-AF2B-23D627C2CB9F 1 1983-07-30 21:04:17.547 1983-08-19 15:18:08.867
F8482669-5679-42E2-AF2B-23D627C2CB9F 2 2002-11-05 04:56:24.033 2002-11-11 22:04:59.393
F8482669-5679-42E2-AF2B-23D627C2CB9F 3 2008-08-31 17:34:50.993 2008-09-07 08:01:12.813
2A4E8201-E57E-4391-8553-7F45D8CC36EC 1 1977-05-16 00:07:59.373 1977-05-22 09:11:02.460
2A4E8201-E57E-4391-8553-7F45D8CC36EC 2 2010-05-29 05:57:58.140 2010-06-03 09:23:33.700
6E48CC29-E0B6-4D5F-9D56-7BB45E203223 1 1977-09-06 03:56:31.327 1977-09-24 20:54:50.577
6E48CC29-E0B6-4D5F-9D56-7BB45E203223 2 1984-03-13 18:39:17.723 1984-03-24 00:56:13.470
6E48CC29-E0B6-4D5F-9D56-7BB45E203223 3 1991-05-23 06:06:45.560 1991-05-27 19:22:38.270
6E48CC29-E0B6-4D5F-9D56-7BB45E203223 4 1992-11-26 17:49:06.843 1992-12-07 08:44:00.007
6E48CC29-E0B6-4D5F-9D56-7BB45E203223 5 2003-11-06 14:11:22.020 2003-11-20 06:50:03.233
6E48CC29-E0B6-4D5F-9D56-7BB45E203223 6 2006-04-14 15:14:36.630 2006-04-18 11:58:34.693
6E48CC29-E0B6-4D5F-9D56-7BB45E203223 7 2007-03-31 05:58:24.050 2007-04-10 07:01:22.347
6E48CC29-E0B6-4D5F-9D56-7BB45E203223 8 2008-10-16 15:39:48.713 2008-10-20 03:00:55.080
28EFFAD7-D563-4FD6-BB62-7445A73F97FB 1 1972-10-23 11:32:18.383 1972-10-28 06:35:12.733
28EFFAD7-D563-4FD6-BB62-7445A73F97FB 2 2007-06-02 07:45:45.677 2007-06-21 12:58:35.733
28EFFAD7-D563-4FD6-BB62-7445A73F97FB 3 2009-02-21 04:08:19.700 2009-03-12 04:42:13.603
3B3A66E5-9F7F-45EB-8427-05C11AA12B4A 1 1948-04-30 09:52:06.563 1948-05-09 13:43:49.437
3B3A66E5-9F7F-45EB-8427-05C11AA12B4A 2 1956-09-11 05:43:34.333 1956-09-13 12:21:43.920
3B3A66E5-9F7F-45EB-8427-05C11AA12B4A 3 1978-12-14 18:58:35.377 1979-01-01 01:16:42.333
3B3A66E5-9F7F-45EB-8427-05C11AA12B4A 4 1991-09-11 08:21:12.673 1991-09-23 23:55:35.700
3B3A66E5-9F7F-45EB-8427-05C11AA12B4A 5 2003-08-22 01:07:13.527 2003-08-30 04:44:51.863
3B3A66E5-9F7F-45EB-8427-05C11AA12B4A 6 2012-05-04 03:10:37.323 2012-05-11 14:56:11.833
A78C00C3-910B-4631-A1AF-3577760B0820 1 1943-11-21 03:51:17.750 1943-11-24 00:36:34.733
A78C00C3-910B-4631-A1AF-3577760B0820 2 2000-07-02 08:04:11.833 2000-07-05 07:39:26.237
A78C00C3-910B-4631-A1AF-3577760B0820 3 2008-09-21 06:11:11.557 2008-09-25 16:09:34.807
4A0AAD21-7895-4845-9EA4-AA6CCA0E0DCD 1 1954-08-15 00:04:17.437 1954-08-22 04:11:22.350
4A0AAD21-7895-4845-9EA4-AA6CCA0E0DCD 2 1972-10-15 17:33:49.690 1972-10-20 09:56:53.600
4A0AAD21-7895-4845-9EA4-AA6CCA0E0DCD 3 1997-01-23 07:56:48.657 1997-01-31 11:32:24.550
4A0AAD21-7895-4845-9EA4-AA6CCA0E0DCD 4 2010-07-26 09:06:29.947 2010-08-01 02:35:33.223
6144F29B-EF98-43EB-92F1-4B0FE790AD9C 1 2000-09-07 12:39:18.807 2000-09-18 08:21:01.077
6144F29B-EF98-43EB-92F1-4B0FE790AD9C 2 2004-01-06 12:22:29.517 2004-01-09 02:35:14.033
6144F29B-EF98-43EB-92F1-4B0FE790AD9C 3 2007-06-18 19:33:03.677 2007-07-08 06:50:56.217
6144F29B-EF98-43EB-92F1-4B0FE790AD9C 4 2012-04-24 08:56:18.877 2012-04-29 14:14:16.163
C1FEE69C-E409-4683-917F-C2DCC04240BC 1 1991-06-08 05:40:36.153 1991-06-24 08:53:02.143
C1FEE69C-E409-4683-917F-C2DCC04240BC 2 1998-08-05 04:19:35.217 1998-08-11 09:04:21.323
C1FEE69C-E409-4683-917F-C2DCC04240BC 3 2009-05-11 22:44:05.430 2009-05-17 22:14:12.630
B6B35809-4552-422C-A62D-E425CA241AAC 1 1953-05-17 04:31:16.437 1953-06-05 07:45:25.677
B6B35809-4552-422C-A62D-E425CA241AAC 2 1958-10-21 19:38:48.397 1958-11-09 09:14:21.097
B6B35809-4552-422C-A62D-E425CA241AAC 3 1968-04-26 09:28:09.393 1968-05-13 10:06:17.340
B6B35809-4552-422C-A62D-E425CA241AAC 4 1975-03-19 11:27:08.800 1975-03-25 08:34:52.603
B6B35809-4552-422C-A62D-E425CA241AAC 5 1985-03-01 03:13:38.010 1985-03-19 22:25:02.277
B6B35809-4552-422C-A62D-E425CA241AAC 6 1999-01-23 13:09:32.747 1999-02-07 15:07:14.710
B6B35809-4552-422C-A62D-E425CA241AAC 7 2009-12-17 03:28:47.730 2009-12-19 09:10:29.797
35EC517B-24CC-4E9D-8612-48D3E433AE54 1 1989-07-20 01:52:03.870 1989-08-02 11:35:42.997
35EC517B-24CC-4E9D-8612-48D3E433AE54 2 2008-03-11 04:30:13.427 2008-03-27 08:34:15.133
1764342C-4895-4B08-924D-A5BDCC97AE5E 1 1983-12-18 19:01:34.983 1983-12-24 04:13:02.343
1764342C-4895-4B08-924D-A5BDCC97AE5E 2 2008-08-21 18:13:05.590 2008-09-08 15:41:24.753
E6DA7D03-22C8-4F93-AAAA-E04D96D6937B 1 1988-07-07 05:37:41.323 1988-07-18 17:08:57.463
E6DA7D03-22C8-4F93-AAAA-E04D96D6937B 2 2012-01-05 14:16:08.567 2012-01-24 20:18:03.830
4518CCD0-9D4E-418D-91C1-E28921E04F09 1 1988-09-30 22:40:36.563 1988-10-05 00:16:05.487
4518CCD0-9D4E-418D-91C1-E28921E04F09 2 2010-08-22 12:34:21.707 2010-08-25 03:12:30.703
D8AC1915-5B9C-42C2-99EC-3B46EFB30CBD 1 1963-06-05 15:05:26.373 1963-06-15 06:13:11.727
D8AC1915-5B9C-42C2-99EC-3B46EFB30CBD 2 1982-08-29 12:17:11.763 1982-09-17 16:37:32.417
D8AC1915-5B9C-42C2-99EC-3B46EFB30CBD 3 1988-03-20 19:28:08.383 1988-03-29 06:30:56.737
D8AC1915-5B9C-42C2-99EC-3B46EFB30CBD 4 1989-09-18 05:54:02.013 1989-10-02 12:57:39.940
D8AC1915-5B9C-42C2-99EC-3B46EFB30CBD 5 1993-08-25 16:35:36.897 1993-08-27 21:47:37.813
D8AC1915-5B9C-42C2-99EC-3B46EFB30CBD 6 1994-09-18 03:55:19.857 1994-10-04 06:03:10.630
D8AC1915-5B9C-42C2-99EC-3B46EFB30CBD 7 1998-11-30 16:10:30.430 1998-12-08 16:38:49.313
D8AC1915-5B9C-42C2-99EC-3B46EFB30CBD 8 2006-06-19 12:27:45.360 2006-07-03 07:37:01.273
D8AC1915-5B9C-42C2-99EC-3B46EFB30CBD 9 2007-09-30 12:25:29.453 2007-10-18 00:20:35.967
D8AC1915-5B9C-42C2-99EC-3B46EFB30CBD 10 2010-08-20 00:19:50.463 2010-08-31 05:27:47.547
87E43350-E405-4419-963C-76A04DB5CE34 1 1975-01-03 04:45:49.760 1975-01-14 23:19:06.200
87E43350-E405-4419-963C-76A04DB5CE34 2 1977-07-04 15:17:17.473 1977-07-16 16:41:12.183
87E43350-E405-4419-963C-76A04DB5CE34 3 1990-09-20 18:28:42.477 1990-09-26 18:45:15.043
87E43350-E405-4419-963C-76A04DB5CE34 4 2004-09-22 05:12:24.920 2004-10-04 08:35:49.337
87E43350-E405-4419-963C-76A04DB5CE34 5 2012-09-05 06:53:35.623 2012-09-11 04:15:50.623
8BAA0371-1EEA-4827-BEFA-1740D2A1C2D3 1 1989-11-08 04:22:40.730 1989-11-10 20:56:43.890
8BAA0371-1EEA-4827-BEFA-1740D2A1C2D3 2 1997-02-11 04:17:42.087 1997-02-17 07:10:04.467
8BAA0371-1EEA-4827-BEFA-1740D2A1C2D3 3 2000-06-15 21:53:35.570 2000-06-19 05:56:13.107
8BAA0371-1EEA-4827-BEFA-1740D2A1C2D3 4 2004-09-23 03:01:10.837 2004-10-10 00:03:12.393
8BAA0371-1EEA-4827-BEFA-1740D2A1C2D3 5 2011-08-15 07:27:25.810 2011-08-22 06:41:33.757
DAA0006F-155E-4D38-AA31-375CBCCF7E62 1 1999-07-26 17:58:17.293 1999-07-30 18:07:11.617
DAA0006F-155E-4D38-AA31-375CBCCF7E62 2 2007-11-28 01:59:21.537 2007-12-02 21:35:21.347
DAA0006F-155E-4D38-AA31-375CBCCF7E62 3 2008-08-11 20:25:29.647 2008-08-15 01:20:11.260
2DBFF951-7510-43FC-BE06-2AEB30808A69 1 1968-02-29 01:18:14.237 1968-03-19 20:44:35.230

End of preview.

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A 10,000-patient database that contains in total 10,000 patients, 36,143 admissions, and 10,726,505 lab observations.

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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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A 10,000-patient database that contains in total 10,000 patients, 36,143 admissions, and 10,726,505 lab observations.

Created by: Uri Kartoun, PhD, Copyright 2014.