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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 2 new columns ({'ecg_id', 'strat_fold'}) and 4 missing columns ({'subject_id', 'ecg_time', 'study_id', 'path'}).
This happened while the csv dataset builder was generating data using
hf://datasets/vlbthambawita/ECGDatasets/ptbxl/clean_records.csv (at revision f85c981fb91d6e007cc90c12934bcdcfe63b27e6), [/tmp/hf-datasets-cache/medium/datasets/57960360849046-config-parquet-and-info-vlbthambawita-ECGDatasets-22428e54/hub/datasets--vlbthambawita--ECGDatasets/snapshots/f85c981fb91d6e007cc90c12934bcdcfe63b27e6/mimic_iv_ecg/clean_records.csv (origin=hf://datasets/vlbthambawita/ECGDatasets@f85c981fb91d6e007cc90c12934bcdcfe63b27e6/mimic_iv_ecg/clean_records.csv), /tmp/hf-datasets-cache/medium/datasets/57960360849046-config-parquet-and-info-vlbthambawita-ECGDatasets-22428e54/hub/datasets--vlbthambawita--ECGDatasets/snapshots/f85c981fb91d6e007cc90c12934bcdcfe63b27e6/ptbxl/clean_records.csv (origin=hf://datasets/vlbthambawita/ECGDatasets@f85c981fb91d6e007cc90c12934bcdcfe63b27e6/ptbxl/clean_records.csv)]
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
ecg_id: int64
strat_fold: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 489
to
{'study_id': Value('int64'), 'subject_id': Value('int64'), 'ecg_time': Value('string'), 'path': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, 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 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1892, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 2 new columns ({'ecg_id', 'strat_fold'}) and 4 missing columns ({'subject_id', 'ecg_time', 'study_id', 'path'}).
This happened while the csv dataset builder was generating data using
hf://datasets/vlbthambawita/ECGDatasets/ptbxl/clean_records.csv (at revision f85c981fb91d6e007cc90c12934bcdcfe63b27e6), [/tmp/hf-datasets-cache/medium/datasets/57960360849046-config-parquet-and-info-vlbthambawita-ECGDatasets-22428e54/hub/datasets--vlbthambawita--ECGDatasets/snapshots/f85c981fb91d6e007cc90c12934bcdcfe63b27e6/mimic_iv_ecg/clean_records.csv (origin=hf://datasets/vlbthambawita/ECGDatasets@f85c981fb91d6e007cc90c12934bcdcfe63b27e6/mimic_iv_ecg/clean_records.csv), /tmp/hf-datasets-cache/medium/datasets/57960360849046-config-parquet-and-info-vlbthambawita-ECGDatasets-22428e54/hub/datasets--vlbthambawita--ECGDatasets/snapshots/f85c981fb91d6e007cc90c12934bcdcfe63b27e6/ptbxl/clean_records.csv (origin=hf://datasets/vlbthambawita/ECGDatasets@f85c981fb91d6e007cc90c12934bcdcfe63b27e6/ptbxl/clean_records.csv)]
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
study_id int64 | subject_id int64 | ecg_time string | path string |
|---|---|---|---|
40,689,238 | 10,000,032 | 2180-07-23 08:44:00 | files/p1000/p10000032/s40689238/40689238 |
44,458,630 | 10,000,032 | 2180-07-23 09:54:00 | files/p1000/p10000032/s44458630/44458630 |
49,036,311 | 10,000,032 | 2180-08-06 09:07:00 | files/p1000/p10000032/s49036311/49036311 |
45,090,959 | 10,000,117 | 2181-03-04 17:14:00 | files/p1000/p10000117/s45090959/45090959 |
48,446,569 | 10,000,117 | 2183-09-18 13:52:00 | files/p1000/p10000117/s48446569/48446569 |
42,709,053 | 10,000,285 | 2159-11-26 14:29:00 | files/p1000/p10000285/s42709053/42709053 |
41,445,586 | 10,000,560 | 2189-10-03 12:54:00 | files/p1000/p10000560/s41445586/41445586 |
42,695,383 | 10,000,560 | 2198-09-19 10:01:00 | files/p1000/p10000560/s42695383/42695383 |
40,067,704 | 10,000,635 | 2136-06-19 07:24:00 | files/p1000/p10000635/s40067704/40067704 |
48,339,811 | 10,000,635 | 2136-06-20 08:54:00 | files/p1000/p10000635/s48339811/48339811 |
45,386,375 | 10,000,635 | 2136-07-05 12:35:00 | files/p1000/p10000635/s45386375/45386375 |
43,522,917 | 10,000,635 | 2137-02-07 13:58:00 | files/p1000/p10000635/s43522917/43522917 |
44,095,784 | 10,000,635 | 2138-09-29 11:09:00 | files/p1000/p10000635/s44095784/44095784 |
42,947,358 | 10,000,635 | 2139-01-22 14:09:00 | files/p1000/p10000635/s42947358/42947358 |
47,218,930 | 10,000,764 | 2132-10-14 19:40:00 | files/p1000/p10000764/s47218930/47218930 |
44,069,449 | 10,000,764 | 2132-10-15 07:12:00 | files/p1000/p10000764/s44069449/44069449 |
44,837,313 | 10,000,764 | 2132-10-15 08:39:00 | files/p1000/p10000764/s44837313/44837313 |
40,539,087 | 10,000,764 | 2132-10-16 09:54:00 | files/p1000/p10000764/s40539087/40539087 |
43,681,375 | 10,000,764 | 2132-10-17 08:31:00 | files/p1000/p10000764/s43681375/43681375 |
40,695,233 | 10,000,826 | 2146-12-12 08:42:00 | files/p1000/p10000826/s40695233/40695233 |
40,894,787 | 10,000,826 | 2146-12-30 17:16:00 | files/p1000/p10000826/s40894787/40894787 |
44,986,768 | 10,000,898 | 2184-04-12 12:14:00 | files/p1000/p10000898/s44986768/44986768 |
46,049,322 | 10,000,898 | 2185-08-15 13:51:00 | files/p1000/p10000898/s46049322/46049322 |
48,575,806 | 10,000,898 | 2187-09-24 13:26:00 | files/p1000/p10000898/s48575806/48575806 |
42,413,061 | 10,000,898 | 2188-03-12 12:04:00 | files/p1000/p10000898/s42413061/42413061 |
43,492,795 | 10,000,898 | 2188-03-13 14:32:00 | files/p1000/p10000898/s43492795/43492795 |
40,746,075 | 10,000,898 | 2188-03-13 14:34:00 | files/p1000/p10000898/s40746075/40746075 |
41,557,927 | 10,000,935 | 2183-10-28 05:45:00 | files/p1000/p10000935/s41557927/41557927 |
48,142,435 | 10,000,935 | 2184-07-09 08:31:00 | files/p1000/p10000935/s48142435/48142435 |
45,594,411 | 10,000,935 | 2186-07-30 15:13:00 | files/p1000/p10000935/s45594411/45594411 |
41,798,696 | 10,000,935 | 2187-07-11 21:51:00 | files/p1000/p10000935/s41798696/41798696 |
40,761,639 | 10,000,935 | 2187-08-25 14:59:00 | files/p1000/p10000935/s40761639/40761639 |
48,582,094 | 10,000,935 | 2187-10-10 20:39:00 | files/p1000/p10000935/s48582094/48582094 |
40,742,173 | 10,000,980 | 2186-06-09 15:18:00 | files/p1000/p10000980/s40742173/40742173 |
47,499,371 | 10,000,980 | 2187-02-21 01:21:00 | files/p1000/p10000980/s47499371/47499371 |
42,546,971 | 10,000,980 | 2188-01-03 12:33:00 | files/p1000/p10000980/s42546971/42546971 |
47,004,256 | 10,000,980 | 2188-01-03 19:56:00 | files/p1000/p10000980/s47004256/47004256 |
49,560,547 | 10,000,980 | 2188-01-04 16:43:00 | files/p1000/p10000980/s49560547/49560547 |
48,376,834 | 10,000,980 | 2189-06-27 06:43:00 | files/p1000/p10000980/s48376834/48376834 |
46,293,961 | 10,000,980 | 2189-06-27 06:47:00 | files/p1000/p10000980/s46293961/46293961 |
49,245,181 | 10,000,980 | 2189-06-27 07:58:00 | files/p1000/p10000980/s49245181/49245181 |
49,144,190 | 10,000,980 | 2189-06-27 10:24:00 | files/p1000/p10000980/s49144190/49144190 |
42,742,896 | 10,000,980 | 2189-06-27 14:36:00 | files/p1000/p10000980/s42742896/42742896 |
41,366,957 | 10,000,980 | 2189-06-27 14:55:00 | files/p1000/p10000980/s41366957/41366957 |
49,202,548 | 10,000,980 | 2189-06-30 16:15:00 | files/p1000/p10000980/s49202548/49202548 |
48,150,809 | 10,000,980 | 2189-06-30 18:19:00 | files/p1000/p10000980/s48150809/48150809 |
42,368,611 | 10,000,980 | 2189-08-21 14:20:00 | files/p1000/p10000980/s42368611/42368611 |
43,143,228 | 10,000,980 | 2190-11-06 14:00:00 | files/p1000/p10000980/s43143228/43143228 |
46,642,833 | 10,000,980 | 2190-11-06 15:50:00 | files/p1000/p10000980/s46642833/46642833 |
49,961,002 | 10,000,980 | 2190-11-06 15:52:00 | files/p1000/p10000980/s49961002/49961002 |
40,816,324 | 10,000,980 | 2190-11-06 21:38:00 | files/p1000/p10000980/s40816324/40816324 |
44,669,583 | 10,000,980 | 2190-12-19 13:02:00 | files/p1000/p10000980/s44669583/44669583 |
47,544,594 | 10,000,980 | 2191-02-19 12:11:00 | files/p1000/p10000980/s47544594/47544594 |
43,744,967 | 10,000,980 | 2191-04-03 22:01:00 | files/p1000/p10000980/s43744967/43744967 |
45,832,921 | 10,000,980 | 2191-05-22 18:49:00 | files/p1000/p10000980/s45832921/45832921 |
43,013,697 | 10,000,980 | 2191-05-30 11:02:00 | files/p1000/p10000980/s43013697/43013697 |
42,178,586 | 10,000,980 | 2191-06-13 07:59:00 | files/p1000/p10000980/s42178586/42178586 |
46,543,372 | 10,000,980 | 2191-07-03 15:45:00 | files/p1000/p10000980/s46543372/46543372 |
42,855,628 | 10,000,980 | 2191-07-16 11:05:00 | files/p1000/p10000980/s42855628/42855628 |
45,105,401 | 10,000,980 | 2191-10-14 14:09:00 | files/p1000/p10000980/s45105401/45105401 |
46,857,734 | 10,000,980 | 2193-05-14 12:52:00 | files/p1000/p10000980/s46857734/46857734 |
48,288,896 | 10,000,980 | 2193-05-26 15:10:00 | files/p1000/p10000980/s48288896/48288896 |
48,778,222 | 10,000,980 | 2193-08-14 23:13:00 | files/p1000/p10000980/s48778222/48778222 |
48,132,909 | 10,000,980 | 2193-08-15 10:45:00 | files/p1000/p10000980/s48132909/48132909 |
41,309,390 | 10,000,980 | 2193-08-15 16:41:00 | files/p1000/p10000980/s41309390/41309390 |
47,286,409 | 10,001,122 | 2142-04-08 09:04:00 | files/p1000/p10001122/s47286409/47286409 |
40,925,049 | 10,001,176 | 2186-11-28 23:16:00 | files/p1000/p10001176/s40925049/40925049 |
45,986,118 | 10,001,186 | 2188-09-24 13:13:00 | files/p1000/p10001186/s45986118/45986118 |
41,997,536 | 10,001,186 | 2188-09-25 08:34:00 | files/p1000/p10001186/s41997536/41997536 |
43,468,501 | 10,001,186 | 2190-07-11 14:02:00 | files/p1000/p10001186/s43468501/43468501 |
43,576,724 | 10,001,217 | 2157-11-18 18:26:00 | files/p1000/p10001217/s43576724/43576724 |
49,758,073 | 10,001,217 | 2157-11-20 09:08:00 | files/p1000/p10001217/s49758073/49758073 |
46,440,135 | 10,001,338 | 2141-07-07 08:35:00 | files/p1000/p10001338/s46440135/46440135 |
46,743,816 | 10,001,338 | 2141-07-07 15:16:00 | files/p1000/p10001338/s46743816/46743816 |
42,790,963 | 10,001,401 | 2131-05-21 11:09:00 | files/p1000/p10001401/s42790963/42790963 |
44,102,194 | 10,001,401 | 2131-06-19 17:28:00 | files/p1000/p10001401/s44102194/44102194 |
49,368,993 | 10,001,401 | 2131-07-30 13:04:00 | files/p1000/p10001401/s49368993/49368993 |
40,341,634 | 10,001,401 | 2131-07-30 17:04:00 | files/p1000/p10001401/s40341634/40341634 |
48,531,703 | 10,001,401 | 2131-10-01 12:39:00 | files/p1000/p10001401/s48531703/48531703 |
49,500,365 | 10,001,401 | 2131-11-13 18:21:00 | files/p1000/p10001401/s49500365/49500365 |
49,466,912 | 10,001,401 | 2131-11-14 03:16:00 | files/p1000/p10001401/s49466912/49466912 |
47,226,536 | 10,001,492 | 2136-09-23 11:50:00 | files/p1000/p10001492/s47226536/47226536 |
47,863,823 | 10,001,492 | 2136-09-24 04:11:00 | files/p1000/p10001492/s47863823/47863823 |
42,186,899 | 10,001,492 | 2136-09-24 09:41:00 | files/p1000/p10001492/s42186899/42186899 |
41,103,859 | 10,001,492 | 2136-09-24 13:49:00 | files/p1000/p10001492/s41103859/41103859 |
45,842,645 | 10,001,492 | 2136-09-25 11:39:00 | files/p1000/p10001492/s45842645/45842645 |
43,749,278 | 10,001,629 | 2171-03-27 14:47:00 | files/p1000/p10001629/s43749278/43749278 |
46,034,277 | 10,001,629 | 2177-10-09 15:04:00 | files/p1000/p10001629/s46034277/46034277 |
42,060,926 | 10,001,663 | 2145-03-14 23:12:00 | files/p1000/p10001663/s42060926/42060926 |
43,742,645 | 10,001,663 | 2150-06-14 08:42:00 | files/p1000/p10001663/s43742645/43742645 |
41,420,867 | 10,001,725 | 2110-06-08 14:39:00 | files/p1000/p10001725/s41420867/41420867 |
41,800,350 | 10,001,757 | 2170-10-15 11:14:00 | files/p1000/p10001757/s41800350/41800350 |
44,881,309 | 10,001,843 | 2131-11-09 13:20:00 | files/p1000/p10001843/s44881309/44881309 |
43,647,002 | 10,001,843 | 2131-11-10 09:04:00 | files/p1000/p10001843/s43647002/43647002 |
47,843,381 | 10,001,843 | 2131-12-12 07:03:00 | files/p1000/p10001843/s47843381/47843381 |
45,896,667 | 10,001,843 | 2131-12-12 08:44:00 | files/p1000/p10001843/s45896667/45896667 |
45,808,859 | 10,001,860 | 2188-03-28 07:39:00 | files/p1000/p10001860/s45808859/45808859 |
40,056,908 | 10,001,877 | 2149-05-21 11:32:00 | files/p1000/p10001877/s40056908/40056908 |
41,316,269 | 10,001,877 | 2149-05-25 02:44:00 | files/p1000/p10001877/s41316269/41316269 |
46,566,322 | 10,001,877 | 2150-11-21 18:48:00 | files/p1000/p10001877/s46566322/46566322 |
End of preview.
ECG Metadata - Clean Record Splits
Clean ECG record IDs curated from the ECGDatasets catalogue. Each CSV lists the record IDs that pass all quality filters.
Version: v0.13.0
Commit: 633cfcad1f1c
Files
| Dataset | File | Clean records |
|---|---|---|
| ptbxl | ptbxl/clean_records.csv | 21,836 |
Generated automatically by ECGDatasets CI.
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