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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 ({'2', '1'}) and 3 missing columns ({'class', 'X', 'Y'}). This happened while the csv dataset builder was generating data using hf://datasets/Jerry-Master/lung-tumour-study/train/csv/(H&E), VH22B003751A003001 (x=17258.0, y=28669.0, w=1024.0, h=1024.0).class.csv (at revision 4416eb9cb366e59f45dde0ccfc21dc4e7ca9d9e4) 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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table pa_table = table_cast(pa_table, self._schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast 1: int64 2: int64 -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 459 to {'X': Value(dtype='float64', id=None), 'Y': Value(dtype='float64', id=None), 'class': Value(dtype='int64', id=None)} 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 1321, 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 935, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 ({'2', '1'}) and 3 missing columns ({'class', 'X', 'Y'}). This happened while the csv dataset builder was generating data using hf://datasets/Jerry-Master/lung-tumour-study/train/csv/(H&E), VH22B003751A003001 (x=17258.0, y=28669.0, w=1024.0, h=1024.0).class.csv (at revision 4416eb9cb366e59f45dde0ccfc21dc4e7ca9d9e4) 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)
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X
float64 | Y
float64 | class
int64 |
---|---|---|
8.159036 | 244.171084 | 2 |
6.661491 | 372.403727 | 2 |
8.680851 | 396.768997 | 2 |
7.707124 | 802.546174 | 2 |
8.491979 | 892.559715 | 2 |
5.944563 | 985.285714 | 2 |
14.468223 | 75.053178 | 2 |
19.965702 | 446.685959 | 2 |
17.405817 | 846.963989 | 2 |
20.161342 | 117.116613 | 2 |
13.157706 | 420.422939 | 2 |
18.520744 | 655.404864 | 2 |
15.763926 | 687.34748 | 2 |
16.482684 | 36.463203 | 2 |
16.794643 | 203.25 | 1 |
28.525324 | 923.448763 | 2 |
20.504931 | 518.587771 | 2 |
21.776882 | 820.610215 | 2 |
21.506073 | 769.336032 | 2 |
26.105911 | 274.8867 | 2 |
37.176933 | 251.450852 | 2 |
33.786325 | 621.606838 | 2 |
34.947826 | 882.182609 | 2 |
38.810959 | 1,000.208219 | 2 |
40.017544 | 829.989474 | 2 |
42.390057 | 784.248566 | 2 |
46.946721 | 396.303279 | 2 |
49.955319 | 575.240426 | 2 |
48.388889 | 642.730159 | 2 |
51.786848 | 177.281179 | 2 |
51.372549 | 101.316176 | 2 |
48.365079 | 936.783069 | 2 |
50.207207 | 806.972973 | 2 |
62.706601 | 451.246944 | 2 |
58.207595 | 670.741772 | 2 |
62.490909 | 68.743434 | 2 |
59.3 | 142.824 | 2 |
61.879859 | 24.537102 | 1 |
63.743077 | 275.463077 | 2 |
67.182911 | 310.29773 | 2 |
59.805755 | 896.697842 | 2 |
69.835801 | 379.672948 | 2 |
64.153846 | 480.019231 | 2 |
72.369198 | 505.843882 | 2 |
69.145695 | 838.397351 | 2 |
70.029762 | 641.732143 | 2 |
73.099567 | 251.91342 | 2 |
75.912587 | 801.272727 | 2 |
76.913174 | 629.266467 | 2 |
73.990783 | 214.059908 | 1 |
78.775641 | 560.274038 | 2 |
77.64687 | 959.727127 | 2 |
79.542735 | 4.495726 | 2 |
83.313274 | 408.40354 | 2 |
82.598095 | 693.857143 | 2 |
79.655172 | 231.876847 | 2 |
80.827273 | 884.572727 | 2 |
84.87963 | 722.469136 | 2 |
85.163121 | 156.858156 | 2 |
96.341632 | 771.910097 | 2 |
90.944551 | 85.577438 | 2 |
93.47548 | 119.021322 | 2 |
96.80381 | 184.96 | 2 |
89.848341 | 652.383886 | 2 |
94.954198 | 431.183206 | 2 |
90.441558 | 907.344156 | 2 |
104.986047 | 512.016279 | 2 |
111.585438 | 141.748886 | 2 |
103.830189 | 681.418868 | 2 |
109.447552 | 573.442308 | 2 |
104.328 | 255.504 | 1 |
110.083799 | 819.519553 | 2 |
118.144828 | 727.397701 | 2 |
117.806202 | 236.034109 | 2 |
114.834586 | 767.265664 | 2 |
120.994652 | 940.019608 | 2 |
123.878661 | 1,011.343096 | 2 |
118.349515 | 697.38835 | 2 |
119.947368 | 41.889952 | 1 |
124.048837 | 93.053488 | 2 |
128.976888 | 183.309707 | 2 |
128.543253 | 210.33218 | 1 |
130.24898 | 283.144898 | 2 |
135.101449 | 835.808696 | 2 |
134.5625 | 893.338816 | 2 |
130.005917 | 873.497041 | 2 |
139.906137 | 481.88929 | 2 |
134.428571 | 814.290323 | 2 |
145.230444 | 856.860465 | 2 |
135.57 | 151.41 | 2 |
154.921914 | 6.453401 | 2 |
155.588732 | 261.752113 | 2 |
160.337209 | 402.582171 | 2 |
156.658147 | 649.522364 | 2 |
161.303977 | 753.355114 | 2 |
161.436556 | 194.89577 | 2 |
168.697531 | 723.117284 | 2 |
161.349544 | 972.492401 | 2 |
169.257426 | 292.633663 | 2 |
170.589744 | 611.333333 | 2 |
End of preview.