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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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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