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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 6 new columns ({'session_label', 'fluorish_score', 'story_recording_file', 'video_recording_file', 'phq8_score', 'user_id'}) and 3 missing columns ({'Unnamed: 0', 'label', 'audio_path'}). This happened while the csv dataset builder was generating data using hf://datasets/jromero2/audio_test/output_prueba.csv (at revision 77a0ae6c8998e726fd767cbc36ece4533c93764c) 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 user_id: int64 session_label: string video_recording_file: string story_recording_file: string phq8_score: double fluorish_score: double -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1029 to {'Unnamed: 0': Value(dtype='int64', id=None), 'audio_path': Value(dtype='string', id=None), 'label': Value(dtype='string', 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 6 new columns ({'session_label', 'fluorish_score', 'story_recording_file', 'video_recording_file', 'phq8_score', 'user_id'}) and 3 missing columns ({'Unnamed: 0', 'label', 'audio_path'}). This happened while the csv dataset builder was generating data using hf://datasets/jromero2/audio_test/output_prueba.csv (at revision 77a0ae6c8998e726fd767cbc36ece4533c93764c) 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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Unnamed: 0
int64 | audio_path
string | label
string |
---|---|---|
0 | bewell/10025/20220801-150605_video.wav | normal |
1 | bewell/10025/20220801-152726_video.wav | normal |
2 | bewell/10038/20220614-131447_video.wav | normal |
3 | bewell/10038/20220722-135436_video.wav | normal |
4 | bewell/10054/20220609-160408_video.wav | normal |
5 | bewell/10054/20220727-170706_video.wav | normal |
6 | bewell/10065/20220609-042403_video.wav | normal |
7 | bewell/10070/20220609-171706_video.wav | normal |
8 | bewell/10070/20220728-210728_video.wav | normal |
9 | bewell/10071/20220608-153643_video.wav | normal |
10 | bewell/10071/20220715-155231_video.wav | normal |
11 | bewell/10118/20220608-163601_video.wav | normal |
12 | bewell/10118/20220720-140756_video.wav | normal |
13 | bewell/10118/20221020-164407_video.wav | normal |
14 | bewell/10130/20220610-201936_video.wav | normal |
15 | bewell/10141/20220610-032830_video.wav | normal |
16 | bewell/10142/20220608-170708_video.wav | normal |
17 | bewell/10142/20220722-152237_video.wav | normal |
18 | bewell/10144/20220613-200112_video.wav | normal |
19 | bewell/10144/20220728-123345_video.wav | normal |
20 | bewell/10144/20221028-181624_video.wav | normal |
21 | bewell/10162/20220608-170119_video.wav | normal |
22 | bewell/10162/20220806-033818_video.wav | normal |
23 | bewell/10167/20220608-182226_video.wav | normal |
24 | bewell/10167/20220723-151502_video.wav | normal |
25 | bewell/10167/20221028-222343_video.wav | normal |
26 | bewell/10206/20220610-223933_video.wav | normal |
27 | bewell/10206/20220727-223413_video.wav | normal |
28 | bewell/10206/20221026-165521_video.wav | normal |
29 | bewell/10217/20220610-204410_video.wav | normal |
30 | bewell/10217/20220801-015950_video.wav | normal |
31 | bewell/10221/20220616-070832_video.wav | normal |
32 | bewell/10221/20220723-135609_video.wav | normal |
33 | bewell/10236/20220618-163351_video.wav | normal |
34 | bewell/10236/20220811-130251_video.wav | normal |
35 | bewell/10236/20221124-031036_video.wav | normal |
36 | bewell/10240/20220610-005516_video.wav | normal |
37 | bewell/10240/20220731-200202_video.wav | normal |
38 | bewell/10240/20221102-211025_video.wav | normal |
39 | bewell/10243/20220618-213734_video.wav | normal |
40 | bewell/10243/20220806-214842_video.wav | normal |
41 | bewell/10243/20221105-144838_video.mov_BtkMIFA.enc | normal |
42 | bewell/10246/20220614-212341_video.wav | normal |
43 | bewell/10248/20220613-172802_video.wav | normal |
44 | bewell/10248/20220727-175851_video.wav | normal |
45 | bewell/10264/20220609-173257_video.wav | normal |
46 | bewell/10267/20220610-153745_video.wav | normal |
47 | bewell/10288/20220614-205156_video.wav | normal |
48 | bewell/10298/20220616-195702_video.wav | normal |
49 | bewell/10298/20220805-124137_video.wav | normal |
50 | bewell/10298/20221114-174442_video.wav | normal |
51 | bewell/10301/20220622-212043_video.wav | normal |
52 | bewell/10301/20220809-153138_video.wav | normal |
53 | bewell/10316/20220620-160906_video.wav | normal |
54 | bewell/10316/20220810-044733_video.mov_kYZIybQ.enc | normal |
55 | bewell/10318/20220622-003527_video.wav | normal |
56 | bewell/10318/20220622-143826_video.wav | normal |
57 | bewell/10318/20220807-164437_video.wav | normal |
58 | bewell/10319/20220628-142640_video.wav | normal |
59 | bewell/10319/20220813-143306_video.wav | normal |
60 | bewell/10332/20220807-173430_video.wav | normal |
61 | bewell/10332/20221111-172957_video.wav | normal |
62 | bewell/10334/20220620-152259_video.wav | normal |
63 | bewell/10334/20220823-185319_video.wav | normal |
64 | bewell/10338/20220625-180144_video.wav | normal |
65 | bewell/10340/20220808-135439_video.wav | normal |
66 | bewell/10340/20221109-193100_video.wav | normal |
67 | bewell/10424/20220901-203509_video.wav | normal |
68 | bewell/10429/20220624-163158_video.wav | normal |
69 | bewell/10429/20220624-164839_video.wav | normal |
70 | bewell/10445/20220622-190401_video.wav | normal |
71 | bewell/10459/20220626-175721_video.wav | normal |
72 | bewell/10467/20220625-032739_video.wav | normal |
73 | bewell/10467/20220806-031724_video.wav | normal |
74 | bewell/10467/20221113-184714_video.wav | normal |
75 | bewell/10541/20221103-152407_video.wav | normal |
76 | bewell/10558/20220704-150302_video.wav | normal |
77 | bewell/10558/20220819-223049_video.wav | normal |
78 | bewell/10558/20221115-152237_video.wav | normal |
79 | bewell/10590/20220707-001930_video.wav | normal |
80 | bewell/10590/20220823-193727_video.wav | normal |
81 | bewell/10626/20220713-213503_video.wav | normal |
82 | bewell/10626/20220824-140242_video.wav | normal |
83 | bewell/10667/20220711-213621_video.wav | normal |
84 | bewell/10689/20220714-015921_video.wav | normal |
85 | bewell/10691/20220714-190858_video.wav | normal |
86 | bewell/10691/20220902-013321_video.wav | normal |
87 | bewell/10712/20220714-184857_video.wav | normal |
88 | bewell/10773/20220722-193837_video.wav | normal |
89 | bewell/10824/20220719-133732_video.wav | normal |
90 | bewell/10824/20220824-132721_video.wav | normal |
91 | bewell/10824/20221127-140035_video.wav | normal |
92 | bewell/10844/20220720-154857_video.wav | normal |
93 | bewell/10856/20220719-170334_video.wav | normal |
94 | bewell/10856/20220831-152411_video.wav | normal |
95 | bewell/10874/20220721-010256_video.wav | normal |
96 | bewell/10899/20220721-001033_video.wav | normal |
97 | bewell/10899/20220914-014936_video.wav | normal |
98 | bewell/10949/20220727-010026_video.wav | normal |
99 | bewell/11035/20220727-053602_video.wav | normal |
End of preview.