Datasets:

---

HamidRafizadeh

/

BrickNet

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 170 new columns ({'0.925901.5', '0.999976.4', '0.926306.8', '0.999958.1', '0.999983.2', '0.927516.1', '0.999993.5', '0.925494.7', '0.927516.7', '0.927918.6', '0.999952', '0.999988.5', '0.999983.3', '0.999999.2', '0.926877', '0.926306.1', '0.999958.3', '0.926711.1', '0.999988.6', '0.927312', '0.999996.5', '0.999968.2', '0.927516.6', '0.924678.2', '0.999999', '0.926306.2', '0.925087.1', '0.999993.3', '0.925901.4', '0.924678.4', '0.924678.9', '0.999996.6', '0.925494.4', '0.927114.4', '0.999983.6', '0.924678', '0.999958.5', '0.925901.1', '0.999993', '0.925087.2', '0.925087.3', '0.924678.5', '0.927516.8', '0.999976.3', '0.999996.7', '0.999993.7', '0.927114.2', '0.927114', '0.999996.4', '0.925494.1', '0.926711.5', '0.999988.7', '0.927918.1', '0.926711', '0.999958.4', '0.927114.3', '0.927918.5', '0.924678.1', '0.999988', '0.925901', '0.927516.4', '0.927918', '0.999983.5', '0.925901.8', '0.999976.2', '0.999968.1', '0.999958.7', '0.926306.5', '0.999968.8', '0.925901.3', '0.926306', '0.999958.8', '0.999968.6', '0.999983', '0.925494.3', '0.925494.8', '0.925494.5', '0.999996', '0.925494.2', '0.999996.2', '0.925087', '0.926306.6', '0.927114.8', '0.925561', '0.999996.1', '0.926711.6', '0.999976.8', '0.999958', '0.927918.4', '0.999968.7', '0.999976.1', '0.926711.7', '0.999983.4', '0.927114.5', '0.999976', '0.926439', '0.927918.2', '0.999987', '0.999968', '0.999999.8', '0.927516.2', '0.925901.2', '0.926306.3', '0.927516.3', '0.927516.5', '0.999999.9', '0.999999.7', '0.999999.6', '0.999993.2', '0.999993.6', '0.999999.5', '0.999976.7', '0.999999.1', '0.927918.3', '0.999976.6', '0.926711.3', '0.925494', '0.999976.5', '0.924678.8', '0.999996.3', '0.925087.7', '0.999996.9', '0.999983.1', '0.927114.1', '0.924678.7', '0.999992', '0.999968.3', '0.925087.6', '0.925087.5', '0.999968.5', '0.999993.1', '0.927918.7', '0.925901.6', '0.927516', '0.999988.1', '0.99998', '0.925087.4', '0.926711.8', '0.928181', '0.927747', '0.999958.6', '0.926001', '0.999983.7', '0.926306.7', '0.999983.8', '0.999958.2', '0.999996.8', '0.927114.6', '0.927918.8', '0.999988.8', '0.924678.3', '0.999968.4', '0.999988.2', '0.927114.7', '0.999962', '0.999988.4', '0.925494.6', '0.925901.7', '0.926711.2', '0.999999.3', '0.999972', '0.924678.6', '0.999993.4', '0.999993.8', '0.926306.4', '0.999999.4', '0.926711.4', '0.92512', '0.925087.8', '0.999988.3'}) and 171 missing columns ({'1.127', '1.91', '1.155', '1.27', '1.58', '1.78', '1.71', '1.177', '1.59', '1.99', '1.90', '1.124', '1.55', '1.176', '1.105', '1.82', '1.83', '1.141', '1.110', '1.42', '1.76', '1.53', '1.160', '1.51', '1.77', '1.149', '1.140', '1.164', '1.118', '1.89', '1.159', '1.57', '1.22', '1.125', '1.87', '1.64', '1.74', '1.19', '1.172', '1.97', '1.48', '1.108', '1.163', '1.56', '1.30', '1.145', '1.161', '1.54', '1.23', '1.31', '1.40', '1.162', '1.171', '1.122', '1.142', '1.178', '1.25', '1.60', '0', '1.50', '1.63', '1.17', '1.115', '1.18', '1.166', '1.148', '1.65', '1.132', '1.68', '1.103', '1.28', '1.81', '1.93', '1.12', '1.98', '1.101', '1.20', '1.129', '1.139', '1.134', '1.130', '1.15', '1.44', '1.66', '1.88', '1.131', '1.137', '1.152', '1.120', '1.169', '1.157', '1.70', '1.21', '1.46', '1.107', '1.14', '1.73', '1.33', '1.94', '1.170', '1.43', '1.179', '1.80', '1.16', '1.156', '1.168', '1.109', '1.52', '1.119', '1.144', '1.121', '1.123', '1.100', '1.154', '1.37', '1.49', '1.112', '1.38', '1.104', '1.175', '1.128', '1.153', '1.143', '1.41', '1.117', '1.126', '1.116', '1.111', '1.24', '1.36', '1.79', '1.136', '1.84', '1.114', '1.167', '1.146', '1.150', '1.165', '1.29', '1.13', '1.10', '1.34', '1.35', '1.86', '1.158', '1.61', '1.133', '1.67', '1.95', '1.135', '1.72', '1.39', '1.92', '1.106', '1.45', '1.174', '1.173', '1.151', '1.62', '1.26', '1.102', '1.113', '1.138', '1.11', '1.47', '1.69', '1.75', '1.32', '1.147', '1.96', '1.85'}).

This happened while the csv dataset builder was generating data using

hf://datasets/HamidRafizadeh/BrickNet/Data/Stable Walls/Dot Product Encoding/Data(Random)/StableWalls(R).csv (at revision 9e71420ac7cfa5583c03dc1064b2600303c1f1bc)

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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              0.928181: double
              0.927747: double
              0.927312: double
              0.926877: double
              0.926439: double
              0.926001: double
              0.925561: double
              0.92512: double
              0.924678: double
              0.999952: double
              0.999962: double
              0.999972: double
              0.99998: double
              0.999987: double
              0.999992: double
              0.999996: double
              0.999999: double
              1: double
              0.924678.1: double
              0.925087: double
              0.925494: double
              0.925901: double
              0.926306: double
              0.926711: double
              0.927114: double
              0.927516: double
              0.927918: double
              0.999958: double
              0.999968: double
              0.999976: double
              0.999983: double
              0.999988: double
              0.999993: double
              0.999996.1: double
              0.999999.1: double
              1.1: double
              0.924678.2: double
              0.925087.1: double
              0.925494.1: double
              0.925901.1: double
              0.926306.1: double
              0.926711.1: double
              0.927114.1: double
              0.927516.1: double
              0.927918.1: double
              0.999958.1: double
              0.999968.1: double
              0.999976.1: double
              0.999983.1: double
              0.999988.1: double
              0.999993.1: double
              0.999996.2: double
              0.999999.2: double
              1.2: double
              0.924678.3: double
              0.925087.2: double
              0.925494.2: double
              0.925901.2: double
              0.926306.2: double
              0.926711.2: double
              0.927114.2: double
              0.927516.2: double
              0.927918.2: double
              0.999958.2: double
              0.999968.2: double
              0.999976.2: double
              0.999983.2: double
              0.999988.2: double
              0.999993.2: double
              0.999996.3: double
              0.999999.3: double
              1.3: double
              0.924678.4: double
              0.925087.3: double
              0.925494.3: double
              0.925901.3: double
              0.926306.3: double
              0.926711.3: double
              0.927114.3: double
              0.927516.3: double
              0.927918.3: double
              0.999958.3: double
              0.999968.3: double
              0.999976.3: doubl
              ...
              ouble
              0.999996.5: double
              0.999999.5: double
              1.5: double
              0.924678.6: double
              0.925087.5: double
              0.925494.5: double
              0.925901.5: double
              0.926306.5: double
              0.926711.5: double
              0.927114.5: double
              0.927516.5: double
              0.927918.5: double
              0.999958.5: double
              0.999968.5: double
              0.999976.5: double
              0.999983.5: double
              0.999988.5: double
              0.999993.5: double
              0.999996.6: double
              0.999999.6: double
              1.6: double
              0.924678.7: double
              0.925087.6: double
              0.925494.6: double
              0.925901.6: double
              0.926306.6: double
              0.926711.6: double
              0.927114.6: double
              0.927516.6: double
              0.927918.6: double
              0.999958.6: double
              0.999968.6: double
              0.999976.6: double
              0.999983.6: double
              0.999988.6: double
              0.999993.6: double
              0.999996.7: double
              0.999999.7: double
              1.7: double
              0.924678.8: double
              0.925087.7: double
              0.925494.7: double
              0.925901.7: double
              0.926306.7: double
              0.926711.7: double
              0.927114.7: double
              0.927516.7: double
              0.927918.7: double
              0.999958.7: double
              0.999968.7: double
              0.999976.7: double
              0.999983.7: double
              0.999988.7: double
              0.999993.7: double
              0.999996.8: double
              0.999999.8: double
              1.8: double
              0.924678.9: double
              0.925087.8: double
              0.925494.8: double
              0.925901.8: double
              0.926306.8: double
              0.926711.8: double
              0.927114.8: double
              0.927516.8: double
              0.927918.8: double
              0.999958.8: double
              0.999968.8: double
              0.999976.8: double
              0.999983.8: double
              0.999988.8: double
              0.999993.8: double
              0.999996.9: double
              0.999999.9: double
              1.9: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 21771
              to
              {'1': Value('float64'), '1.1': Value('float64'), '1.2': Value('float64'), '1.3': Value('float64'), '1.4': Value('float64'), '1.5': Value('float64'), '1.6': Value('float64'), '1.7': Value('float64'), '1.8': Value('float64'), '1.9': Value('float64'), '1.10': Value('float64'), '1.11': Value('float64'), '1.12': Value('float64'), '1.13': Value('float64'), '1.14': Value('float64'), '1.15': Value('float64'), '1.16': Value('float64'), '1.17': Value('float64'), '1.18': Value('float64'), '1.19': Value('float64'), '1.20': Value('float64'), '1.21': Value('float64'), '1.22': Value('float64'), '1.23': Value('float64'), '1.24': Value('float64'), '1.25': Value('float64'), '1.26': Value('float64'), '1.27': Value('float64'), '1.28': Value('float64'), '1.29': Value('float64'), '1.30': Value('float64'), '1.31': Value('float64'), '1.32': Value('float64'), '1.33': Value('float64'), '1.34': Value('float64'), '1.35': Value('float64'), '1.36': Value('float64'), '1.37': Value('float64'), '1.38': Value('float64'), '1.39': Value('float64'), '1.40': Value('float64'), '1.41': Value('float64'), '1.42': Value('float64'), '1.43': Value('float64'), '1.44': Value('float64'), '1.45': Value('float64'), '1.46': Value('float64'), '1.47': Value('float64'), '1.48': Value('float64'), '1.49': Value('float64'), '1.50': Value('float64'), '1.51': Value('float64'), '1.52': Value('float64'), '1.53': Value('float64'), '1.54': Value('float64'), '1.55': Value('float64'), '1.56': Value('float64'), '1.57': Value('float64'), '1.
              ...
              5': Value('float64'), '1.126': Value('float64'), '1.127': Value('float64'), '1.128': Value('float64'), '1.129': Value('float64'), '1.130': Value('float64'), '1.131': Value('float64'), '1.132': Value('float64'), '1.133': Value('float64'), '1.134': Value('float64'), '1.135': Value('float64'), '1.136': Value('float64'), '1.137': Value('float64'), '1.138': Value('float64'), '1.139': Value('float64'), '1.140': Value('float64'), '1.141': Value('float64'), '1.142': Value('float64'), '1.143': Value('float64'), '1.144': Value('float64'), '1.145': Value('float64'), '1.146': Value('float64'), '1.147': Value('float64'), '1.148': Value('float64'), '1.149': Value('float64'), '1.150': Value('float64'), '1.151': Value('float64'), '1.152': Value('float64'), '1.153': Value('float64'), '1.154': Value('float64'), '1.155': Value('float64'), '1.156': Value('float64'), '1.157': Value('float64'), '1.158': Value('float64'), '1.159': Value('float64'), '1.160': Value('float64'), '1.161': Value('float64'), '1.162': Value('float64'), '1.163': Value('float64'), '1.164': Value('float64'), '1.165': Value('float64'), '1.166': Value('float64'), '1.167': Value('float64'), '1.168': Value('float64'), '1.169': Value('float64'), '1.170': Value('float64'), '1.171': Value('float64'), '1.172': Value('float64'), '1.173': Value('float64'), '1.174': Value('float64'), '1.175': Value('float64'), '1.176': Value('float64'), '1.177': Value('float64'), '1.178': Value('float64'), '1.179': Value('float64'), '0': 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 1455, 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 1054, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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 170 new columns ({'0.925901.5', '0.999976.4', '0.926306.8', '0.999958.1', '0.999983.2', '0.927516.1', '0.999993.5', '0.925494.7', '0.927516.7', '0.927918.6', '0.999952', '0.999988.5', '0.999983.3', '0.999999.2', '0.926877', '0.926306.1', '0.999958.3', '0.926711.1', '0.999988.6', '0.927312', '0.999996.5', '0.999968.2', '0.927516.6', '0.924678.2', '0.999999', '0.926306.2', '0.925087.1', '0.999993.3', '0.925901.4', '0.924678.4', '0.924678.9', '0.999996.6', '0.925494.4', '0.927114.4', '0.999983.6', '0.924678', '0.999958.5', '0.925901.1', '0.999993', '0.925087.2', '0.925087.3', '0.924678.5', '0.927516.8', '0.999976.3', '0.999996.7', '0.999993.7', '0.927114.2', '0.927114', '0.999996.4', '0.925494.1', '0.926711.5', '0.999988.7', '0.927918.1', '0.926711', '0.999958.4', '0.927114.3', '0.927918.5', '0.924678.1', '0.999988', '0.925901', '0.927516.4', '0.927918', '0.999983.5', '0.925901.8', '0.999976.2', '0.999968.1', '0.999958.7', '0.926306.5', '0.999968.8', '0.925901.3', '0.926306', '0.999958.8', '0.999968.6', '0.999983', '0.925494.3', '0.925494.8', '0.925494.5', '0.999996', '0.925494.2', '0.999996.2', '0.925087', '0.926306.6', '0.927114.8', '0.925561', '0.999996.1', '0.926711.6', '0.999976.8', '0.999958', '0.927918.4', '0.999968.7', '0.999976.1', '0.926711.7', '0.999983.4', '0.927114.5', '0.999976', '0.926439', '0.927918.2', '0.999987', '0.999968', '0.999999.8', '0.927516.2', '0.925901.2', '0.926306.3', '0.927516.3', '0.927516.5', '0.999999.9', '0.999999.7', '0.999999.6', '0.999993.2', '0.999993.6', '0.999999.5', '0.999976.7', '0.999999.1', '0.927918.3', '0.999976.6', '0.926711.3', '0.925494', '0.999976.5', '0.924678.8', '0.999996.3', '0.925087.7', '0.999996.9', '0.999983.1', '0.927114.1', '0.924678.7', '0.999992', '0.999968.3', '0.925087.6', '0.925087.5', '0.999968.5', '0.999993.1', '0.927918.7', '0.925901.6', '0.927516', '0.999988.1', '0.99998', '0.925087.4', '0.926711.8', '0.928181', '0.927747', '0.999958.6', '0.926001', '0.999983.7', '0.926306.7', '0.999983.8', '0.999958.2', '0.999996.8', '0.927114.6', '0.927918.8', '0.999988.8', '0.924678.3', '0.999968.4', '0.999988.2', '0.927114.7', '0.999962', '0.999988.4', '0.925494.6', '0.925901.7', '0.926711.2', '0.999999.3', '0.999972', '0.924678.6', '0.999993.4', '0.999993.8', '0.926306.4', '0.999999.4', '0.926711.4', '0.92512', '0.925087.8', '0.999988.3'}) and 171 missing columns ({'1.127', '1.91', '1.155', '1.27', '1.58', '1.78', '1.71', '1.177', '1.59', '1.99', '1.90', '1.124', '1.55', '1.176', '1.105', '1.82', '1.83', '1.141', '1.110', '1.42', '1.76', '1.53', '1.160', '1.51', '1.77', '1.149', '1.140', '1.164', '1.118', '1.89', '1.159', '1.57', '1.22', '1.125', '1.87', '1.64', '1.74', '1.19', '1.172', '1.97', '1.48', '1.108', '1.163', '1.56', '1.30', '1.145', '1.161', '1.54', '1.23', '1.31', '1.40', '1.162', '1.171', '1.122', '1.142', '1.178', '1.25', '1.60', '0', '1.50', '1.63', '1.17', '1.115', '1.18', '1.166', '1.148', '1.65', '1.132', '1.68', '1.103', '1.28', '1.81', '1.93', '1.12', '1.98', '1.101', '1.20', '1.129', '1.139', '1.134', '1.130', '1.15', '1.44', '1.66', '1.88', '1.131', '1.137', '1.152', '1.120', '1.169', '1.157', '1.70', '1.21', '1.46', '1.107', '1.14', '1.73', '1.33', '1.94', '1.170', '1.43', '1.179', '1.80', '1.16', '1.156', '1.168', '1.109', '1.52', '1.119', '1.144', '1.121', '1.123', '1.100', '1.154', '1.37', '1.49', '1.112', '1.38', '1.104', '1.175', '1.128', '1.153', '1.143', '1.41', '1.117', '1.126', '1.116', '1.111', '1.24', '1.36', '1.79', '1.136', '1.84', '1.114', '1.167', '1.146', '1.150', '1.165', '1.29', '1.13', '1.10', '1.34', '1.35', '1.86', '1.158', '1.61', '1.133', '1.67', '1.95', '1.135', '1.72', '1.39', '1.92', '1.106', '1.45', '1.174', '1.173', '1.151', '1.62', '1.26', '1.102', '1.113', '1.138', '1.11', '1.47', '1.69', '1.75', '1.32', '1.147', '1.96', '1.85'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/HamidRafizadeh/BrickNet/Data/Stable Walls/Dot Product Encoding/Data(Random)/StableWalls(R).csv (at revision 9e71420ac7cfa5583c03dc1064b2600303c1f1bc)
              
              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)