Datasets:

---

MartialTerran

/

MNIST_small_colab-sample_data

like 0

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 163 new columns ({'84', '0.626', '241', '114.1', '18.1', '254.9', '163', '254.11', '0.630', '182', '7', '0.653', '0.661', '106', '0.623', '52.1', '0.613', '57', '254.25', '254', '0.639', '0.665', '133.1', '0.651', '38', '0.608', '1', '0.656', '0.638', '52', '0.597', '121', '0.619', '67.3', '203', '0.601', '0.621', '251', '0.632', '0.644', '121.1', '52.2', '205', '0.629', '0.627', '0.636', '0.618', '254.14', '198.5', '0.648', '0.591', '254.10', '0.592', '0.624', '0.662', '254.3', '0.598', '83', '254.2', '254.15', '0.643', '0.610', '254.8', '0.657', '207', '187', '115', '0.595', '75', '219', '0.633', '0.593', '0.646', '67.2', '254.24', '0.649', '0.667', '198.4', '58', '0.628', '0.600', '254.23', '0.607', '254.21', '0.634', '0.659', '0.654', '0.666', '36', '0.642', '254.19', '0.664', '0.612', '221', '133', '225', '254.1', '198.6', '35', '254.7', '60', '185', '0.622', '40', '0.637', '0.617', '198.1', '198.7', '0.647', '254.4', '227', '129', '254.26', '0.620', '0.650', '0.609', '198.3', '0.635', '83.1', '0.640', '77', '254.13', '0.658', '254.17', '0.631', '0.596', '254.22', '0.614', '254.5', '219.1', '0.603', '0.606', '140', '0.599', '254.18', '0.645', '238', '0.663', '59.1', '254.6', '0.594', '0.604', '0.616', '198.2', '0.602', '0.605', '14', '0.655', '229', '72', '242', '254.12', '0.641', '0.625', '0.611', '0.660', '9', '254.20', '254.16', '151', '62', '0.652', '0.615'}) and 163 missing columns ({'253.3', '252.15', '252.45', '252.13', '159.1', '252.2', '235', '178', '239', '184', '73', '152', '174', '246', '252.39', '252.31', '128', '177', '252.28', '143.1', '48', '252.5', '100', '92', '12.2', '16', '252.38', '11', '145', '248.1', '88', '252.19', '252.33', '82', '15', '3.1', '234', '89.2', '66.6', '12.3', '79', '252.37', '12', '249.2', '252.7', '252.3', '135.1', '2', '10', '252.29', '104', '66.1', '175', '149', '252.24', '30', '132', '249.1', '252.35', '252.11', '147', '2.1', '26', '199', '253.5', '193', '244', '252.36', '253.6', '66.8', '252.14', '252.47', '252.41', '252.21', '11.1', '135', '39', '247', '46', '252.18', '252.42', '12.1', '252.8', '29', '6', '66.5', '243', '252.12', '252.17', '32', '252.48', '180', '252.32', '252', '252.22', '252.34', '126.1', '155', '110', '100.1', '96', '98', '41', '252.40', '252.46', '252.6', '66.4', '46.1', '34', '66.3', '15.1', '252.43', '252.4', '24.1', '216', '5.1', '171.1', '66.9', '89', '179', '252.44', '49', '13', '143.2', '252.25', '252.23', '5.2', '17.1', '237', '252.9', '108', '20', '89.3', '96.1', '165', '209.1', '232', '253.2', '252.30', '171', '143', '239.1', '252.20', '252.10', '232.1', '243.1', '66.2', '183', '252.16', '233.1', '252.27', '253.4', '252.1', '89.1', '119', '228', '252.26', '253.1', '177.1', '131', '24', '66.7', '34.1'}).

This happened while the csv dataset builder was generating data using

hf://datasets/MartialTerran/MNIST_small_colab-sample_data/mnist_test.csv (at revision 1400859a572252e9395c7e35da3c9c7205038efd)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              7: 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
              0.12
              ...
              
              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, "' + 83691
              to
              {'6': Value('int64'), '0': Value('int64'), '0.1': Value('int64'), '0.2': Value('int64'), '0.3': Value('int64'), '0.4': Value('int64'), '0.5': Value('int64'), '0.6': Value('int64'), '0.7': Value('int64'), '0.8': Value('int64'), '0.9': Value('int64'), '0.10': Value('int64'), '0.11': Value('int64'), '0.12': Value('int64'), '0.13': Value('int64'), '0.14': Value('int64'), '0.15': Value('int64'), '0.16': Value('int64'), '0.17': Value('int64'), '0.18': Value('int64'), '0.19': Value('int64'), '0.20': Value('int64'), '0.21': Value('int64'), '0.22': Value('int64'), '0.23': Value('int64'), '0.24': Value('int64'), '0.25': Value('int64'), '0.26': Value('int64'), '0.27': Value('int64'), '0.28': Value('int64'), '0.29': Value('int64'), '0.30': Value('int64'), '0.31': Value('int64'), '0.32': Value('int64'), '0.33': Value('int64'), '0.34': Value('int64'), '0.35': Value('int64'), '0.36': Value('int64'), '0.37': Value('int64'), '0.38': Value('int64'), '0.39': Value('int64'), '0.40': Value('int64'), '0.41': Value('int64'), '0.42': Value('int64'), '0.43': Value('int64'), '0.44': Value('int64'), '0.45': Value('int64'), '0.46': Value('int64'), '0.47': Value('int64'), '0.48': Value('int64'), '0.49': Value('int64'), '0.50': Value('int64'), '0.51': Value('int64'), '0.52': Value('int64'), '0.53': Value('int64'), '0.54': Value('int64'), '0.55': Value('int64'), '0.56': Value('int64'), '0.57': Value('int64'), '0.58': Value('int64'), '0.59': Value('int64'), '0.60': Value('int64'), '0.61': Value('int64'), '0
              ...
               '0.531': Value('int64'), '0.532': Value('int64'), '0.533': Value('int64'), '0.534': Value('int64'), '0.535': Value('int64'), '0.536': Value('int64'), '0.537': Value('int64'), '0.538': Value('int64'), '0.539': Value('int64'), '0.540': Value('int64'), '0.541': Value('int64'), '0.542': Value('int64'), '0.543': Value('int64'), '0.544': Value('int64'), '0.545': Value('int64'), '0.546': Value('int64'), '0.547': Value('int64'), '0.548': Value('int64'), '0.549': Value('int64'), '0.550': Value('int64'), '0.551': Value('int64'), '0.552': Value('int64'), '0.553': Value('int64'), '0.554': Value('int64'), '0.555': Value('int64'), '0.556': Value('int64'), '0.557': Value('int64'), '0.558': Value('int64'), '0.559': Value('int64'), '0.560': Value('int64'), '0.561': Value('int64'), '0.562': Value('int64'), '0.563': Value('int64'), '0.564': Value('int64'), '0.565': Value('int64'), '0.566': Value('int64'), '0.567': Value('int64'), '0.568': Value('int64'), '0.569': Value('int64'), '0.570': Value('int64'), '0.571': Value('int64'), '0.572': Value('int64'), '0.573': Value('int64'), '0.574': Value('int64'), '0.575': Value('int64'), '0.576': Value('int64'), '0.577': Value('int64'), '0.578': Value('int64'), '0.579': Value('int64'), '0.580': Value('int64'), '0.581': Value('int64'), '0.582': Value('int64'), '0.583': Value('int64'), '0.584': Value('int64'), '0.585': Value('int64'), '0.586': Value('int64'), '0.587': Value('int64'), '0.588': Value('int64'), '0.589': Value('int64'), '0.590': Value('int64')}
              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 1456, 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 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 1833, 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 163 new columns ({'84', '0.626', '241', '114.1', '18.1', '254.9', '163', '254.11', '0.630', '182', '7', '0.653', '0.661', '106', '0.623', '52.1', '0.613', '57', '254.25', '254', '0.639', '0.665', '133.1', '0.651', '38', '0.608', '1', '0.656', '0.638', '52', '0.597', '121', '0.619', '67.3', '203', '0.601', '0.621', '251', '0.632', '0.644', '121.1', '52.2', '205', '0.629', '0.627', '0.636', '0.618', '254.14', '198.5', '0.648', '0.591', '254.10', '0.592', '0.624', '0.662', '254.3', '0.598', '83', '254.2', '254.15', '0.643', '0.610', '254.8', '0.657', '207', '187', '115', '0.595', '75', '219', '0.633', '0.593', '0.646', '67.2', '254.24', '0.649', '0.667', '198.4', '58', '0.628', '0.600', '254.23', '0.607', '254.21', '0.634', '0.659', '0.654', '0.666', '36', '0.642', '254.19', '0.664', '0.612', '221', '133', '225', '254.1', '198.6', '35', '254.7', '60', '185', '0.622', '40', '0.637', '0.617', '198.1', '198.7', '0.647', '254.4', '227', '129', '254.26', '0.620', '0.650', '0.609', '198.3', '0.635', '83.1', '0.640', '77', '254.13', '0.658', '254.17', '0.631', '0.596', '254.22', '0.614', '254.5', '219.1', '0.603', '0.606', '140', '0.599', '254.18', '0.645', '238', '0.663', '59.1', '254.6', '0.594', '0.604', '0.616', '198.2', '0.602', '0.605', '14', '0.655', '229', '72', '242', '254.12', '0.641', '0.625', '0.611', '0.660', '9', '254.20', '254.16', '151', '62', '0.652', '0.615'}) and 163 missing columns ({'253.3', '252.15', '252.45', '252.13', '159.1', '252.2', '235', '178', '239', '184', '73', '152', '174', '246', '252.39', '252.31', '128', '177', '252.28', '143.1', '48', '252.5', '100', '92', '12.2', '16', '252.38', '11', '145', '248.1', '88', '252.19', '252.33', '82', '15', '3.1', '234', '89.2', '66.6', '12.3', '79', '252.37', '12', '249.2', '252.7', '252.3', '135.1', '2', '10', '252.29', '104', '66.1', '175', '149', '252.24', '30', '132', '249.1', '252.35', '252.11', '147', '2.1', '26', '199', '253.5', '193', '244', '252.36', '253.6', '66.8', '252.14', '252.47', '252.41', '252.21', '11.1', '135', '39', '247', '46', '252.18', '252.42', '12.1', '252.8', '29', '6', '66.5', '243', '252.12', '252.17', '32', '252.48', '180', '252.32', '252', '252.22', '252.34', '126.1', '155', '110', '100.1', '96', '98', '41', '252.40', '252.46', '252.6', '66.4', '46.1', '34', '66.3', '15.1', '252.43', '252.4', '24.1', '216', '5.1', '171.1', '66.9', '89', '179', '252.44', '49', '13', '143.2', '252.25', '252.23', '5.2', '17.1', '237', '252.9', '108', '20', '89.3', '96.1', '165', '209.1', '232', '253.2', '252.30', '171', '143', '239.1', '252.20', '252.10', '232.1', '243.1', '66.2', '183', '252.16', '233.1', '252.27', '253.4', '252.1', '89.1', '119', '228', '252.26', '253.1', '177.1', '131', '24', '66.7', '34.1'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/MartialTerran/MNIST_small_colab-sample_data/mnist_test.csv (at revision 1400859a572252e9395c7e35da3c9c7205038efd)
              
              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)