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bigram
/

att2

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train

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The dataset generation failed

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
date: int64
id: string
y: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 575
to
{'date': Value(dtype='int64', id=None), 'id': Value(dtype='string', id=None), '0': Value(dtype='float32', id=None), '1': Value(dtype='float32', id=None), '2': Value(dtype='float32', id=None), '3': Value(dtype='float32', id=None), '4': Value(dtype='float32', id=None), '5': Value(dtype='float32', id=None), '6': Value(dtype='float32', id=None), '7': Value(dtype='float32', id=None), '8': Value(dtype='float32', id=None), '9': Value(dtype='float32', id=None), '10': Value(dtype='float32', id=None), '11': Value(dtype='float32', id=None), '12': Value(dtype='float32', id=None), '13': Value(dtype='float32', id=None), '14': Value(dtype='float32', id=None), '15': Value(dtype='float32', id=None), '16': Value(dtype='float32', id=None), '17': Value(dtype='float32', id=None), '18': Value(dtype='float32', id=None), '19': Value(dtype='float32', id=None), '20': Value(dtype='float32', id=None), '21': Value(dtype='float32', id=None), '22': Value(dtype='float32', id=None), '23': Value(dtype='float32', id=None), '24': Value(dtype='float32', id=None), '25': Value(dtype='float32', id=None), '26': Value(dtype='float32', id=None), '27': Value(dtype='float32', id=None), '28': Value(dtype='float32', id=None), '29': Value(dtype='float32', id=None), '30': Value(dtype='float32', id=None), '31': Value(dtype='float32', id=None), '32': Value(dtype='float32', id=None), '33': Value(dtype='float32', id=None), '34': Value(dtype='float32', id=None), '35': Value(dtype='float32', id=None), '36': Value(dtype='float32',
...
'float32', id=None), '424': Value(dtype='float32', id=None), '425': Value(dtype='float32', id=None), '426': Value(dtype='float32', id=None), '427': Value(dtype='float32', id=None), '428': Value(dtype='float32', id=None), '429': Value(dtype='float32', id=None), '430': Value(dtype='float32', id=None), '431': Value(dtype='float32', id=None), '432': Value(dtype='float32', id=None), '433': Value(dtype='float32', id=None), '434': Value(dtype='float32', id=None), '435': Value(dtype='float32', id=None), '436': Value(dtype='float32', id=None), '437': Value(dtype='float32', id=None), '438': Value(dtype='float32', id=None), '439': Value(dtype='float32', id=None), '440': Value(dtype='float32', id=None), '441': Value(dtype='float32', id=None), '442': Value(dtype='float32', id=None), '443': Value(dtype='float32', id=None), '444': Value(dtype='float32', id=None), '445': Value(dtype='float32', id=None), '446': Value(dtype='float32', id=None), '447': Value(dtype='float32', id=None), '448': Value(dtype='float32', id=None), '449': Value(dtype='float32', id=None), '450': Value(dtype='float32', id=None), '451': Value(dtype='float32', id=None), '452': Value(dtype='float32', id=None), '453': Value(dtype='float32', id=None), '454': Value(dtype='float32', id=None), '455': Value(dtype='float32', id=None), '456': Value(dtype='float32', id=None), '457': Value(dtype='float32', id=None), '458': Value(dtype='float32', id=None), '459': Value(dtype='float32', id=None), '460': Value(dtype='float32', id=None)}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1492, in compute_config_parquet_and_info_response
                  fill_builder_info(builder, hf_endpoint=hf_endpoint, hf_token=hf_token, validate=validate)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 683, in fill_builder_info
                  ) = retry_validate_get_features_num_examples_size_and_compression_ratio(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 602, in retry_validate_get_features_num_examples_size_and_compression_ratio
                  validate(pf)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 640, in validate
                  raise TooBigRowGroupsError(
              worker.job_runners.config.parquet_and_info.TooBigRowGroupsError: Parquet file has too big row groups. First row group has 1707407532 which exceeds the limit of 300000000
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1995, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 797, in wrapped
                  for item in generator(*args, **kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 97, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 75, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_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
              date: int64
              id: string
              y: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 575
              to
              {'date': Value(dtype='int64', id=None), 'id': Value(dtype='string', id=None), '0': Value(dtype='float32', id=None), '1': Value(dtype='float32', id=None), '2': Value(dtype='float32', id=None), '3': Value(dtype='float32', id=None), '4': Value(dtype='float32', id=None), '5': Value(dtype='float32', id=None), '6': Value(dtype='float32', id=None), '7': Value(dtype='float32', id=None), '8': Value(dtype='float32', id=None), '9': Value(dtype='float32', id=None), '10': Value(dtype='float32', id=None), '11': Value(dtype='float32', id=None), '12': Value(dtype='float32', id=None), '13': Value(dtype='float32', id=None), '14': Value(dtype='float32', id=None), '15': Value(dtype='float32', id=None), '16': Value(dtype='float32', id=None), '17': Value(dtype='float32', id=None), '18': Value(dtype='float32', id=None), '19': Value(dtype='float32', id=None), '20': Value(dtype='float32', id=None), '21': Value(dtype='float32', id=None), '22': Value(dtype='float32', id=None), '23': Value(dtype='float32', id=None), '24': Value(dtype='float32', id=None), '25': Value(dtype='float32', id=None), '26': Value(dtype='float32', id=None), '27': Value(dtype='float32', id=None), '28': Value(dtype='float32', id=None), '29': Value(dtype='float32', id=None), '30': Value(dtype='float32', id=None), '31': Value(dtype='float32', id=None), '32': Value(dtype='float32', id=None), '33': Value(dtype='float32', id=None), '34': Value(dtype='float32', id=None), '35': Value(dtype='float32', id=None), '36': Value(dtype='float32',
              ...
              'float32', id=None), '424': Value(dtype='float32', id=None), '425': Value(dtype='float32', id=None), '426': Value(dtype='float32', id=None), '427': Value(dtype='float32', id=None), '428': Value(dtype='float32', id=None), '429': Value(dtype='float32', id=None), '430': Value(dtype='float32', id=None), '431': Value(dtype='float32', id=None), '432': Value(dtype='float32', id=None), '433': Value(dtype='float32', id=None), '434': Value(dtype='float32', id=None), '435': Value(dtype='float32', id=None), '436': Value(dtype='float32', id=None), '437': Value(dtype='float32', id=None), '438': Value(dtype='float32', id=None), '439': Value(dtype='float32', id=None), '440': Value(dtype='float32', id=None), '441': Value(dtype='float32', id=None), '442': Value(dtype='float32', id=None), '443': Value(dtype='float32', id=None), '444': Value(dtype='float32', id=None), '445': Value(dtype='float32', id=None), '446': Value(dtype='float32', id=None), '447': Value(dtype='float32', id=None), '448': Value(dtype='float32', id=None), '449': Value(dtype='float32', id=None), '450': Value(dtype='float32', id=None), '451': Value(dtype='float32', id=None), '452': Value(dtype='float32', id=None), '453': Value(dtype='float32', id=None), '454': Value(dtype='float32', id=None), '455': Value(dtype='float32', id=None), '456': Value(dtype='float32', id=None), '457': Value(dtype='float32', id=None), '458': Value(dtype='float32', id=None), '459': Value(dtype='float32', id=None), '460': Value(dtype='float32', id=None)}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1505, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1099, 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 2038, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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float32	91 float32	92 float32	93 float32	94 float32	95 float32	96 float32	97 float32	98 float32	99 float32	100 float32	101 float32	102 float32	103 float32	104 float32	105 float32	106 float32	107 float32	108 float32	109 float32	110 float32	111 float32	112 float32	113 float32	114 float32	115 float32	116 float32	117 float32	118 float32	119 float32	120 float32	121 float32	122 float32	123 float32	124 float32	125 float32	126 float32	127 float32	128 float32	129 float32	130 float32	131 float32	132 float32	133 float32	134 float32	135 float32	136 float32	137 float32	138 float32	139 float32	140 float32	141 float32	142 float32	143 float32	144 float32	145 float32	146 float32	147 float32	148 float32	149 float32	150 float32	151 float32	152 float32	153 float32	154 float32	155 float32	156 float32	157 float32	158 float32	159 float32	160 float32	161 float32	162 float32	163 float32	164 float32	165 float32	166 float32	167 float32	168 float32	169 float32	170 float32	171 float32	172 float32	173 float32	174 float32	175 float32	176 float32	177 float32	178 float32	179 float32	180 float32	181 float32	182 float32	183 float32	184 float32	185 float32	186 float32	187 float32	188 float32	189 float32	190 float32	191 float32	192 float32	193 float32	194 float32	195 float32	196 float32	197 float32	198 float32	199 float32	200 float32	201 float32	202 float32	203 float32	204 float32	205 float32	206 float32	207 float32	208 float32	209 float32	210 float32	211 float32	212 float32	213 float32	214 float32	215 float32	216 float32	217 float32	218 float32	219 float32	220 float32	221 float32	222 float32	223 float32	224 float32	225 float32	226 float32	227 float32	228 float32	229 float32	230 float32	231 float32	232 float32	233 float32	234 float32	235 float32	236 float32	237 float32	238 float32	239 float32	240 float32	241 float32	242 float32	243 float32	244 float32	245 float32	246 float32	247 float32	248 float32	249 float32	250 float32	251 float32	252 float32	253 float32	254 float32	255 float32	256 float32	257 float32	258 float32	259 float32	260 float32	261 float32	262 float32	263 float32	264 float32	265 float32	266 float32	267 float32	268 float32	269 float32	270 float32	271 float32	272 float32	273 float32	274 float32	275 float32	276 float32	277 float32	278 float32	279 float32	280 float32	281 float32	282 float32	283 float32	284 float32	285 float32	286 float32	287 float32	288 float32	289 float32	290 float32	291 float32	292 float32	293 float32	294 float32	295 float32	296 float32	297 float32	298 float32	299 float32	300 float32	301 float32	302 float32	303 float32	304 float32	305 float32	306 float32	307 float32	308 float32	309 float32	310 float32	311 float32	312 float32	313 float32	314 float32	315 float32	316 float32	317 float32	318 float32	319 float32	320 float32	321 float32	322 float32	323 float32	324 float32	325 float32	326 float32	327 float32	328 float32	329 float32	330 float32	331 float32	332 float32	333 float32	334 float32	335 float32	336 float32	337 float32	338 float32	339 float32	340 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