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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 9 new columns ({'padding_side', 'sampling_rate', 'feature_extractor_type', 'max_wav_value', 'return_attention_mask', 'n_fft', 'feature_size', 'padding_value', 'hop_length'}) and 1 missing columns ({'<unk>'}).
This happened while the json dataset builder was generating data using
hf://datasets/Trimux/EnlishTest/preprocessor_config.json (at revision 2cd568ada11670d844b91273960d93722f6f588a)
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 2013, 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
feature_extractor_type: string
feature_size: int64
hop_length: int64
max_wav_value: double
n_fft: int64
padding_side: string
padding_value: double
return_attention_mask: bool
sampling_rate: int64
to
{'<unk>': 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 1396, 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 1045, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1029, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1124, 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 1884, 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 2015, 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 9 new columns ({'padding_side', 'sampling_rate', 'feature_extractor_type', 'max_wav_value', 'return_attention_mask', 'n_fft', 'feature_size', 'padding_value', 'hop_length'}) and 1 missing columns ({'<unk>'}).
This happened while the json dataset builder was generating data using
hf://datasets/Trimux/EnlishTest/preprocessor_config.json (at revision 2cd568ada11670d844b91273960d93722f6f588a)
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.
<unk> int64 | feature_extractor_type string | feature_size int64 | hop_length int64 | max_wav_value float64 | n_fft int64 | padding_side string | padding_value float64 | return_attention_mask bool | sampling_rate int64 | pad_token string | unk_token string | add_blank bool | added_tokens_decoder dict | clean_up_tokenization_spaces bool | is_uroman bool | language null | model_max_length float64 | normalize bool | phonemize bool | tokenizer_class string | verbose bool | int64 | ! int64 | " int64 | ' int64 | , int64 | . int64 | : int64 | ; int64 | ? int64 | A int64 | B int64 | C int64 | D int64 | E int64 | F int64 | G int64 | H int64 | I int64 | J int64 | K int64 | L int64 | M int64 | N int64 | O int64 | P int64 | Q int64 | R int64 | S int64 | T int64 | U int64 | V int64 | W int64 | X int64 | Y int64 | Z int64 | _ int64 | a int64 | b int64 | c int64 | d int64 | e int64 | f int64 | g int64 | h int64 | i int64 | j int64 | k int64 | l int64 | m int64 | n int64 | o int64 | p int64 | q int64 | r int64 | s int64 | t int64 | u int64 | v int64 | w int64 | x int64 | y int64 | z int64 | ¡ int64 | « int64 | » int64 | ¿ int64 | æ int64 | ç int64 | ð int64 | ø int64 | ħ int64 | ŋ int64 | œ int64 | ǀ int64 | ǁ int64 | ǂ int64 | ǃ int64 | ɐ int64 | ɑ int64 | ɒ int64 | ɓ int64 | ɔ int64 | ɕ int64 | ɖ int64 | ɗ int64 | ɘ int64 | ə int64 | ɚ int64 | ɛ int64 | ɜ int64 | ɝ int64 | ɞ int64 | ɟ int64 | ɠ int64 | ɡ int64 | ɢ int64 | ɣ int64 | ɤ int64 | ɥ int64 | ɦ int64 | ɧ int64 | ɨ int64 | ɪ int64 | ɫ int64 | ɬ int64 | ɭ int64 | ɮ int64 | ɯ int64 | ɰ int64 | ɱ int64 | ɲ int64 | ɳ int64 | ɴ int64 | ɵ int64 | ɶ int64 | ɸ int64 | ɹ int64 | ɺ int64 | ɻ int64 | ɽ int64 | ɾ int64 | ʀ int64 | ʁ int64 | ʂ int64 | ʃ int64 | ʄ int64 | ʈ int64 | ʉ int64 | ʊ int64 | ʋ int64 | ʌ int64 | ʍ int64 | ʎ int64 | ʏ int64 | ʐ int64 | ʑ int64 | ʒ int64 | ʔ int64 | ʕ int64 | ʘ int64 | ʙ int64 | ʛ int64 | ʜ int64 | ʝ int64 | ʟ int64 | ʡ int64 | ʢ int64 | ʤ int64 | ʧ int64 | ʰ int64 | ʱ int64 | ʲ int64 | ʴ int64 | ʷ int64 | ʼ int64 | ˈ int64 | ˌ int64 | ː int64 | ˑ int64 | ˞ int64 | ˠ int64 | ˤ int64 | ̩ int64 | β int64 | θ int64 | χ int64 | ᵻ int64 | — int64 | “ int64 | ” int64 | … int64 | ↑ int64 | → int64 | ↓ int64 | ↗ int64 | ↘ int64 | ⱱ int64 |
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177 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | VitsFeatureExtractor | 80 | 256 | 32,768 | 1,024 | right | 0 | false | 22,050 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | _ | <unk> | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | _ | <unk> | true | {
"0": {
"content": "_",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"177": {
"content": "<unk>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
}
} | true | false | null | 1,000,000,000,000,000,000,000,000,000,000 | true | true | VitsTokenizer | false | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 16 | 5 | 11 | 176 | 3 | 4 | 2 | 1 | 6 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 0 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 7 | 12 | 13 | 8 | 72 | 78 | 81 | 116 | 98 | 112 | 120 | 152 | 153 | 154 | 155 | 70 | 69 | 71 | 73 | 76 | 77 | 80 | 79 | 84 | 83 | 85 | 86 | 87 | 88 | 89 | 90 | 93 | 92 | 94 | 139 | 140 | 99 | 96 | 97 | 101 | 102 | 106 | 105 | 104 | 107 | 110 | 111 | 109 | 114 | 113 | 115 | 117 | 121 | 118 | 123 | 124 | 126 | 129 | 125 | 127 | 128 | 130 | 131 | 91 | 132 | 134 | 135 | 136 | 138 | 141 | 143 | 144 | 146 | 145 | 147 | 148 | 150 | 122 | 74 | 95 | 100 | 103 | 108 | 149 | 151 | 82 | 133 | 162 | 163 | 164 | 161 | 165 | 160 | 156 | 157 | 158 | 159 | 168 | 166 | 167 | 175 | 75 | 119 | 142 | 177 | 9 | 14 | 15 | 10 | 170 | 171 | 169 | 172 | 173 | 137 |
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