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vessl

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mnist-demo-dataset

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VESSL AI 16

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 132 new columns ({'0.667', '0.657', '254.13', '254.19', '151', '254.16', '0.652', '67', '0.646', '115', '61', '224', '31', '52.1', '0.651', '0.658', '254.5', '84', '0.631', '0.633', '38', '0.648', '44', '0.661', '163', '121', '0.637', '254.4', '254.17', '0.642', '0.630', '0.626', '0.629', '0.622', '236', '0.625', '17', '254.2', '19', '254.1', '254.18', '254.20', '0.632', '0.645', '254.12', '140', '77', '57', '0.639', '254.15', '114.1', '72', '58', '0.660', '60', '0.627', '254.25', '0.638', '83.1', '0.636', '106', '0.666', '198.3', '0.620', '0.665', '0.644', '227', '0.650', '0.663', '254.10', '0.623', '185', '254.9', '67.2', '5', '248', '0.640', '254.6', '254.22', '0.628', '0.655', '0.635', '198.2', '198.4', '0.659', '254', '22', '40', '0.656', '0.621', '59', '121.1', '0.649', '0.641', '254.3', '198.6', '0.634', '0.624', '0.618', '0.653', '159', '52', '198.5', '21', '67.3', '254.21', '83', '0.664', '0.647', '233', '254.14', '254.24', '59.1', '52.2', '67.1', '0.662', '198.7', '254.26', '209', '254.23', '254.7', '133.1', '254.11', '0.619', '75', '62', '129', '254.8', '222', '203', '0.654', '0.643'}) and 132 missing columns ({'253.36', '253.34', '18.3', '80', '18.4', '253.13', '253.16', '171', '11', '43', '172.1', '1.1', '253.4', '24', '190.1', '27', '160', '2', '253.19', '11.1', '23', '244', '70', '82', '182.1', '49', '64.1', '148', '195', '226', '253.32', '213', '55', '253.22', '247.1', '253.5', '46', '2.1', '136', '241.1', '16', '253.7', '253.44', '154.2', '247', '45', '30', '253.28', '253.9', '253.37', '253.3', '253.39', '26', '190', '253.42', '16.1', '253.30', '80.1', '139', '253.29', '253.15', '39', '253.14', '172', '253.10', '253.18', '78', '253.27', '150', '253.24', '81.1', '64', '18.2', '253.38', '107', '39.1', '253.52', '253.20', '253.31', '253.26', '25', '56', '154.1', '132', '253.45', '253.46', '253.41', '225.1', '130', '253.50', '253.8', '253.21', '253.43', '175', '253.11', '93', '93.1', '253.23', '253.17', '136.1', '127', '253.12', '11.2', '186', '81', '2.2', '253.35', '253.6', '253.40', '253.2', '94', '90', '119', '253.49', '253.33', '183', '212', '135', '253.47', '253.48', '195.1', '156', '82.1', '108', '253.1', '253.53', '249.1', '253.25', '252', '154', '253.51', '201'}).

This happened while the csv dataset builder was generating data using

hf://datasets/vessl/mnist-demo-dataset/test.csv (at revision 0b82253484efd0ea576696c0d91a2b9aadbe8f34)

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
              label: int64
              0: int64
              0.1: int64
              0.2: int64
              0.3: int64
              0.4: int64
              0.5: int64
              0.6: int64
              0.7: int64
              0.8: int64
              0.9: int64
              0.10: int64
              0.11: int64
              0.12: int64
              0.13: int64
              0.14: int64
              0.15: int64
              0.16: int64
              0.17: int64
              0.18: int64
              0.19: int64
              0.20: int64
              0.21: int64
              0.22: int64
              0.23: int64
              0.24: int64
              0.25: int64
              0.26: int64
              0.27: int64
              0.28: int64
              0.29: int64
              0.30: int64
              0.31: int64
              0.32: int64
              0.33: int64
              0.34: int64
              0.35: int64
              0.36: int64
              0.37: int64
              0.38: int64
              0.39: int64
              0.40: int64
              0.41: int64
              0.42: int64
              0.43: int64
              0.44: int64
              0.45: int64
              0.46: int64
              0.47: int64
              0.48: int64
              0.49: int64
              0.50: int64
              0.51: int64
              0.52: int64
              0.53: int64
              0.54: int64
              0.55: int64
              0.56: int64
              0.57: int64
              0.58: int64
              0.59: int64
              0.60: int64
              0.61: int64
              0.62: int64
              0.63: int64
              0.64: int64
              0.65: int64
              0.66: int64
              0.67: int64
              0.68: int64
              0.69: int64
              0.70: int64
              0.71: int64
              0.72: int64
              0.73: int64
              0.74: int64
              0.75: int64
              0.76: int64
              0.77: int64
              0.78: int64
              0.79: int64
              0.80: int64
              0.81: int64
              0.82: int64
              0.83: int64
              0.84: int64
              0.85: int64
              0.86: int64
              0.87: int64
              0.88: int64
              0.89: int64
              0.90: int64
              0.91: int64
              0.92: int64
              0.93: int64
              0.94: int64
              0.95: int64
              0.96: int64
              0.97: int64
              0.98: int64
              0.99: int64
              0.100: int64
              0.101: int64
              0.102: int64
              0.103: int64
              0.104: int64
              0.105: int64
              0.106: int64
              0.107: int64
              0.108: int64
              0.109: int64
              0.110: int64
              0.111: int64
              0.112: int64
              0.113: int64
              0.114: int64
              0.115: int64
              0.116: int64
              0.117: int64
              0.118: int64
              0.119: int64
              0.120: int64
              0.121: int64
              0.122: int64
              
              ...
              
              0.574: int64
              0.575: int64
              0.576: int64
              0.577: int64
              0.578: int64
              0.579: int64
              61: int64
              242: int64
              254.22: int64
              254.23: int64
              52.2: int64
              0.580: int64
              0.581: int64
              0.582: int64
              0.583: int64
              0.584: int64
              0.585: int64
              0.586: int64
              0.587: int64
              0.588: int64
              0.589: int64
              0.590: int64
              0.591: int64
              0.592: int64
              0.593: int64
              0.594: int64
              0.595: int64
              0.596: int64
              0.597: int64
              0.598: int64
              0.599: int64
              0.600: int64
              0.601: int64
              0.602: int64
              121: int64
              254.24: int64
              254.25: int64
              219.1: int64
              40: int64
              0.603: int64
              0.604: int64
              0.605: int64
              0.606: int64
              0.607: int64
              0.608: int64
              0.609: int64
              0.610: int64
              0.611: int64
              0.612: int64
              0.613: int64
              0.614: int64
              0.615: int64
              0.616: int64
              0.617: int64
              0.618: int64
              0.619: int64
              0.620: int64
              0.621: int64
              0.622: int64
              0.623: int64
              0.624: int64
              0.625: int64
              121.1: int64
              254.26: int64
              207: int64
              18.1: int64
              0.626: int64
              0.627: int64
              0.628: int64
              0.629: int64
              0.630: int64
              0.631: int64
              0.632: int64
              0.633: int64
              0.634: int64
              0.635: int64
              0.636: int64
              0.637: int64
              0.638: int64
              0.639: int64
              0.640: int64
              0.641: int64
              0.642: int64
              0.643: int64
              0.644: int64
              0.645: int64
              0.646: int64
              0.647: int64
              0.648: int64
              0.649: int64
              0.650: int64
              0.651: int64
              0.652: int64
              0.653: int64
              0.654: int64
              0.655: int64
              0.656: int64
              0.657: int64
              0.658: int64
              0.659: int64
              0.660: int64
              0.661: int64
              0.662: int64
              0.663: int64
              0.664: int64
              0.665: int64
              0.666: int64
              0.667: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 83699
              to
              {'label': Value(dtype='int64', id=None), '0': Value(dtype='int64', id=None), '0.1': Value(dtype='int64', id=None), '0.2': Value(dtype='int64', id=None), '0.3': Value(dtype='int64', id=None), '0.4': Value(dtype='int64', id=None), '0.5': Value(dtype='int64', id=None), '0.6': Value(dtype='int64', id=None), '0.7': Value(dtype='int64', id=None), '0.8': Value(dtype='int64', id=None), '0.9': Value(dtype='int64', id=None), '0.10': Value(dtype='int64', id=None), '0.11': Value(dtype='int64', id=None), '0.12': Value(dtype='int64', id=None), '0.13': Value(dtype='int64', id=None), '0.14': Value(dtype='int64', id=None), '0.15': Value(dtype='int64', id=None), '0.16': Value(dtype='int64', id=None), '0.17': Value(dtype='int64', id=None), '0.18': Value(dtype='int64', id=None), '0.19': Value(dtype='int64', id=None), '0.20': Value(dtype='int64', id=None), '0.21': Value(dtype='int64', id=None), '0.22': Value(dtype='int64', id=None), '0.23': Value(dtype='int64', id=None), '0.24': Value(dtype='int64', id=None), '0.25': Value(dtype='int64', id=None), '0.26': Value(dtype='int64', id=None), '0.27': Value(dtype='int64', id=None), '0.28': Value(dtype='int64', id=None), '0.29': Value(dtype='int64', id=None), '0.30': Value(dtype='int64', id=None), '0.31': Value(dtype='int64', id=None), '0.32': Value(dtype='int64', id=None), '0.33': Value(dtype='int64', id=None), '0.34': Value(dtype='int64', id=None), '0.35': Value(dtype='int64', id=None), '0.36': Value(dtype='int64', id=None), '0.37': Value(dtype='int64',
              ...
              e='int64', id=None), '0.581': Value(dtype='int64', id=None), '0.582': Value(dtype='int64', id=None), '0.583': Value(dtype='int64', id=None), '0.584': Value(dtype='int64', id=None), '0.585': Value(dtype='int64', id=None), '0.586': Value(dtype='int64', id=None), '0.587': Value(dtype='int64', id=None), '0.588': Value(dtype='int64', id=None), '0.589': Value(dtype='int64', id=None), '0.590': Value(dtype='int64', id=None), '0.591': Value(dtype='int64', id=None), '0.592': Value(dtype='int64', id=None), '0.593': Value(dtype='int64', id=None), '0.594': Value(dtype='int64', id=None), '0.595': Value(dtype='int64', id=None), '0.596': Value(dtype='int64', id=None), '0.597': Value(dtype='int64', id=None), '0.598': Value(dtype='int64', id=None), '0.599': Value(dtype='int64', id=None), '0.600': Value(dtype='int64', id=None), '0.601': Value(dtype='int64', id=None), '0.602': Value(dtype='int64', id=None), '0.603': Value(dtype='int64', id=None), '0.604': Value(dtype='int64', id=None), '0.605': Value(dtype='int64', id=None), '0.606': Value(dtype='int64', id=None), '0.607': Value(dtype='int64', id=None), '0.608': Value(dtype='int64', id=None), '0.609': Value(dtype='int64', id=None), '0.610': Value(dtype='int64', id=None), '0.611': Value(dtype='int64', id=None), '0.612': Value(dtype='int64', id=None), '0.613': Value(dtype='int64', id=None), '0.614': Value(dtype='int64', id=None), '0.615': Value(dtype='int64', id=None), '0.616': Value(dtype='int64', id=None), '0.617': 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 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 132 new columns ({'0.667', '0.657', '254.13', '254.19', '151', '254.16', '0.652', '67', '0.646', '115', '61', '224', '31', '52.1', '0.651', '0.658', '254.5', '84', '0.631', '0.633', '38', '0.648', '44', '0.661', '163', '121', '0.637', '254.4', '254.17', '0.642', '0.630', '0.626', '0.629', '0.622', '236', '0.625', '17', '254.2', '19', '254.1', '254.18', '254.20', '0.632', '0.645', '254.12', '140', '77', '57', '0.639', '254.15', '114.1', '72', '58', '0.660', '60', '0.627', '254.25', '0.638', '83.1', '0.636', '106', '0.666', '198.3', '0.620', '0.665', '0.644', '227', '0.650', '0.663', '254.10', '0.623', '185', '254.9', '67.2', '5', '248', '0.640', '254.6', '254.22', '0.628', '0.655', '0.635', '198.2', '198.4', '0.659', '254', '22', '40', '0.656', '0.621', '59', '121.1', '0.649', '0.641', '254.3', '198.6', '0.634', '0.624', '0.618', '0.653', '159', '52', '198.5', '21', '67.3', '254.21', '83', '0.664', '0.647', '233', '254.14', '254.24', '59.1', '52.2', '67.1', '0.662', '198.7', '254.26', '209', '254.23', '254.7', '133.1', '254.11', '0.619', '75', '62', '129', '254.8', '222', '203', '0.654', '0.643'}) and 132 missing columns ({'253.36', '253.34', '18.3', '80', '18.4', '253.13', '253.16', '171', '11', '43', '172.1', '1.1', '253.4', '24', '190.1', '27', '160', '2', '253.19', '11.1', '23', '244', '70', '82', '182.1', '49', '64.1', '148', '195', '226', '253.32', '213', '55', '253.22', '247.1', '253.5', '46', '2.1', '136', '241.1', '16', '253.7', '253.44', '154.2', '247', '45', '30', '253.28', '253.9', '253.37', '253.3', '253.39', '26', '190', '253.42', '16.1', '253.30', '80.1', '139', '253.29', '253.15', '39', '253.14', '172', '253.10', '253.18', '78', '253.27', '150', '253.24', '81.1', '64', '18.2', '253.38', '107', '39.1', '253.52', '253.20', '253.31', '253.26', '25', '56', '154.1', '132', '253.45', '253.46', '253.41', '225.1', '130', '253.50', '253.8', '253.21', '253.43', '175', '253.11', '93', '93.1', '253.23', '253.17', '136.1', '127', '253.12', '11.2', '186', '81', '2.2', '253.35', '253.6', '253.40', '253.2', '94', '90', '119', '253.49', '253.33', '183', '212', '135', '253.47', '253.48', '195.1', '156', '82.1', '108', '253.1', '253.53', '249.1', '253.25', '252', '154', '253.51', '201'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/vessl/mnist-demo-dataset/test.csv (at revision 0b82253484efd0ea576696c0d91a2b9aadbe8f34)
              
              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)