The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 5 new columns ({'2.48', '-21', '9', '153', '59'}) and 5 missing columns ({'-18', '11', '29', '2.43', '120'}). This happened while the csv dataset builder was generating data using zip://zenodo_upload/meta_data/fold14_room1_mix004.csv::hf://datasets/sakshamsingh1/sound_distance@0ab221f64f119ae503449f95177fe336fc3f7de6/dcase.zip 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 153: int64 9: int64 0: int64 59: int64 -21: int64 2.48: double -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 875 to {'29': Value(dtype='int64', id=None), '11': Value(dtype='int64', id=None), '0': Value(dtype='int64', id=None), '120': Value(dtype='int64', id=None), '-18': Value(dtype='int64', id=None), '2.43': Value(dtype='float64', 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 1316, in compute_config_parquet_and_info_response parquet_operations, partial = stream_convert_to_parquet( File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 909, in stream_convert_to_parquet builder._prepare_split( 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 5 new columns ({'2.48', '-21', '9', '153', '59'}) and 5 missing columns ({'-18', '11', '29', '2.43', '120'}). This happened while the csv dataset builder was generating data using zip://zenodo_upload/meta_data/fold14_room1_mix004.csv::hf://datasets/sakshamsingh1/sound_distance@0ab221f64f119ae503449f95177fe336fc3f7de6/dcase.zip 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.
29
int64 | 11
int64 | 0
int64 | 120
int64 | -18
int64 | 2.43
float64 |
---|---|---|---|---|---|
30 | 11 | 0 | 120 | -18 | 2.43 |
31 | 11 | 0 | 120 | -18 | 2.43 |
32 | 11 | 0 | 120 | -18 | 2.43 |
33 | 11 | 0 | 120 | -18 | 2.43 |
34 | 11 | 0 | 120 | -18 | 2.43 |
35 | 11 | 0 | 120 | -18 | 2.43 |
36 | 11 | 0 | 120 | -18 | 2.43 |
37 | 11 | 0 | 120 | -18 | 2.43 |
38 | 11 | 0 | 120 | -18 | 2.43 |
39 | 11 | 0 | 120 | -18 | 2.43 |
40 | 11 | 0 | 120 | -18 | 2.43 |
41 | 11 | 0 | 120 | -18 | 2.43 |
42 | 11 | 0 | 120 | -18 | 2.43 |
43 | 11 | 0 | 120 | -18 | 2.43 |
44 | 11 | 0 | 120 | -18 | 2.43 |
45 | 11 | 0 | 120 | -18 | 2.43 |
46 | 11 | 0 | 120 | -18 | 2.43 |
47 | 11 | 0 | 120 | -18 | 2.43 |
48 | 11 | 0 | 120 | -18 | 2.43 |
49 | 11 | 0 | 120 | -18 | 2.43 |
50 | 11 | 0 | 120 | -18 | 2.43 |
51 | 11 | 0 | 120 | -18 | 2.43 |
52 | 11 | 0 | 120 | -18 | 2.43 |
53 | 11 | 0 | 120 | -18 | 2.43 |
54 | 11 | 0 | 120 | -18 | 2.43 |
55 | 11 | 0 | 120 | -18 | 2.43 |
56 | 11 | 0 | 120 | -18 | 2.43 |
57 | 11 | 0 | 120 | -18 | 2.43 |
87 | 4 | 1 | 134 | 14 | 2.43 |
88 | 4 | 1 | 134 | 14 | 2.43 |
89 | 4 | 1 | 134 | 14 | 2.43 |
90 | 4 | 1 | 134 | 14 | 2.43 |
91 | 4 | 1 | 134 | 14 | 2.43 |
92 | 4 | 1 | 134 | 14 | 2.43 |
93 | 4 | 1 | 134 | 14 | 2.43 |
94 | 4 | 1 | 134 | 14 | 2.43 |
95 | 4 | 1 | 134 | 14 | 2.43 |
96 | 4 | 1 | 134 | 14 | 2.43 |
97 | 4 | 1 | 134 | 14 | 2.43 |
98 | 4 | 1 | 134 | 14 | 2.43 |
99 | 4 | 1 | 134 | 14 | 2.43 |
100 | 4 | 1 | 134 | 14 | 2.43 |
101 | 4 | 1 | 134 | 14 | 2.43 |
102 | 4 | 1 | 134 | 14 | 2.43 |
103 | 4 | 1 | 134 | 14 | 2.43 |
104 | 4 | 1 | 134 | 14 | 2.43 |
105 | 4 | 1 | 134 | 14 | 2.43 |
149 | 9 | 2 | 98 | -1 | 2.35 |
150 | 9 | 2 | 98 | -1 | 2.35 |
151 | 9 | 2 | 98 | -1 | 2.35 |
152 | 9 | 2 | 98 | -1 | 2.35 |
153 | 9 | 2 | 98 | -1 | 2.35 |
154 | 9 | 2 | 98 | -1 | 2.35 |
155 | 9 | 2 | 98 | -1 | 2.35 |
156 | 9 | 2 | 98 | -1 | 2.35 |
157 | 9 | 2 | 98 | -1 | 2.35 |
158 | 9 | 2 | 98 | -1 | 2.35 |
159 | 9 | 2 | 98 | -1 | 2.35 |
160 | 9 | 2 | 98 | -1 | 2.35 |
161 | 9 | 2 | 98 | -1 | 2.35 |
162 | 9 | 2 | 98 | -1 | 2.35 |
163 | 9 | 2 | 98 | -1 | 2.35 |
164 | 9 | 2 | 98 | -1 | 2.35 |
165 | 9 | 2 | 98 | -1 | 2.35 |
166 | 9 | 2 | 98 | -1 | 2.35 |
167 | 9 | 2 | 98 | -1 | 2.35 |
168 | 9 | 2 | 98 | -1 | 2.35 |
169 | 9 | 2 | 98 | -1 | 2.35 |
170 | 9 | 2 | 98 | -1 | 2.35 |
171 | 9 | 2 | 98 | -1 | 2.35 |
172 | 9 | 2 | 98 | -1 | 2.35 |
173 | 9 | 2 | 98 | -1 | 2.35 |
174 | 9 | 2 | 98 | -1 | 2.35 |
175 | 9 | 2 | 98 | -1 | 2.35 |
176 | 9 | 2 | 98 | -1 | 2.35 |
177 | 9 | 2 | 98 | -1 | 2.35 |
205 | 0 | 3 | -110 | 20 | 2.48 |
206 | 0 | 3 | -110 | 20 | 2.48 |
207 | 0 | 3 | -110 | 20 | 2.48 |
208 | 0 | 3 | -110 | 20 | 2.48 |
209 | 0 | 3 | -110 | 20 | 2.48 |
210 | 0 | 3 | -110 | 20 | 2.48 |
211 | 0 | 3 | -110 | 20 | 2.48 |
212 | 0 | 3 | -110 | 20 | 2.48 |
224 | 4 | 4 | -99 | 0 | 2.35 |
225 | 4 | 4 | -100 | 0 | 2.35 |
226 | 4 | 4 | -101 | 0 | 2.35 |
227 | 4 | 4 | -102 | 0 | 2.35 |
228 | 4 | 4 | -103 | 1 | 2.35 |
229 | 4 | 4 | -104 | 1 | 2.35 |
230 | 4 | 4 | -105 | 1 | 2.35 |
231 | 4 | 4 | -106 | 1 | 2.35 |
232 | 4 | 4 | -107 | 0 | 2.35 |
233 | 4 | 4 | -108 | 0 | 2.35 |
234 | 4 | 4 | -109 | 0 | 2.35 |
235 | 4 | 4 | -110 | 0 | 2.35 |
236 | 4 | 4 | -111 | 0 | 2.35 |
237 | 4 | 4 | -112 | 0 | 2.35 |
238 | 4 | 4 | -113 | 0 | 2.35 |
239 | 4 | 4 | -114 | 0 | 2.35 |
End of preview.
Subsets and Splits