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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 785 new columns ({'0.72', '0.227', '222', '0.299', '0.181', '0.473', '0.523', '0.302', '20', '73', '0.542', '0.9', '0.274', '0.57', '0.66', '0.128', '0.420', '0.81', '0.369', '0.466', '104', '0.450', '0.351', '0.354', '0.576', '0.256', '0.141', '252.19', '0.474', '0.86', '66.2', '0.272', '0.400', '0.105', '0.219', '0.348', '98', '0.549', '0.129', '0.550', '0.477', '0.149', '0.10', '0.361', '253.1', '0.521', '0.488', '132', '0.503', '0.287', '0.252', '0.309', '252.36', '0.406', '252.14', '179', '0.143', '0.78', '0.433', '0.267', '0.257', '0.126', '119', '0.539', '0.283', '165', '175', '0.319', '0.589', '0.575', '252.39', '0.197', '10', '183', '0.212', '0.175', '0.389', '0.38', '0.164', '0.431', '0.74', '252', '0.289', '0.585', '0.318', '92', '0.308', '0.457', '0.518', '0.221', '0.130', '21', '0.314', '253', '0.106', '0.317', '0.506', '0.261', '0.329', '0.411', '0.432', '0.459', '0.540', '0.134', '252.32', '177.1', '96', '0.75', '0.137', '0.203', '0.122', '0.328', '252.10', '0.188', '0.24', '0.495', '89', '152', '243', '89.3', '0.559', '0.467', '252.6', '0.277', '143.1', '0.418', '0.573', '0.562', '0.25', '0.363', '253.4', '0.570', '252.16', '0.536', '0.118', '0.151', '0.300', '0.62', '0.202', '252.43', '147', '253.5', '0.515', '0.47', '0.49', '239', '0.28', '0.234', '0.520', '0.52', '252.48', '0.470', '0.541', '82', '252.13', '89.2', '0.12', '0.366', '252.27', '0.320', '0.135', '19', '0.485', '0.305', '114', '0.34', '0.71', '0.384', '0.421', '252.42', '0.200', '0.144', '0.206', '0.239', '0.529
...
8', '0.345', '0.107', '0.3', '0.313', '252.41', '0.327', '0.372', '252.46', '0.293', '0.394', '0.326', '0.512', '0.230', '88', '0.208', '0.235', '0.215', '135', '0.16', '0.425', '66.3', '0.558', '0.155', '0.194', '100', '0.475', '0.172', '252.33', '0.125', '0.494', '0.269', '0.505', '0.387', '0.20', '0.31', '0.99', '0.84', '0.273', '0.17', '0.245', '0.404', '0.240', '0.201', '0.268', '0.4', '178', '0.456', '2.1', '0.195', '0.530', '0.159', '0.552', '0.341', '66.4', '0.58', '0.50', '0.524', '0.581', '0.446', '48', '0.265', '0.548', '0.68', '253.3', '0.322', '0.510', '0.15', '0.229', '0.355', '0.2', '0.266', '0.294', '0.340', '252.40', '0.223', '252.12', '0.544', '0.382', '0.180', '0.304', '0.213', '0.236', '0.343', '0.464', '0.357', '110', '0.561', '0.98', '0.89', '0.346', '252.29', '252.28', '0.168', '0', '0.513', '0.93', '0.353', '12.1', '0.335', '0.243', '0.14', '0.19', '0.182', '0.102', '0.362', '0.42', '159.1', '13', '0.408', '0.526', '0.43', '0.214', '0.77', '0.339', '0.36', '0.344', '159', '26', '0.169', '0.232', '0.97', '232', '0.342', '0.67', '0.386', '228', '0.531', '0.174', '0.567', '126.1', '0.190', '0.291', '0.388', '0.586', '0.378', '0.147', '0.414', '12', '0.250', '0.278', '0.434', '66', '2', '0.153', '0.109', '0.577', '0.65', '0.399', '0.377', '0.154', '0.358', '0.139', '34', '0.364', '0.95', '0.91', '0.376', '0.264', '0.315', '0.187', '0.279', '0.316', '252.21', '0.568', '0.41', '0.113', '0.290', '0.365', '18', '0.158', '0.225', '0.251', '128', '0.380', '237'}) and 9 missing columns ({'households', 'latitude', 'median_income', 'total_rooms', 'longitude', 'total_bedrooms', 'population', 'median_house_value', 'housing_median_age'}).
This happened while the csv dataset builder was generating data using
hf://datasets/haibaraconan/tif/mnist_train_small.csv (at revision 40969d4fce60c8144139bf5d3f54416fbedb7607)
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 1871, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 623, 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 2293, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
6: 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
24: int64
67: int
...
nt64
0.484: int64
0.485: int64
0.486: int64
0.487: int64
0.488: int64
0.489: int64
0.490: int64
0.491: int64
0.492: int64
0.493: int64
0.494: int64
0.495: int64
0.496: int64
0.497: int64
0.498: int64
0.499: int64
0.500: int64
0.501: int64
0.502: int64
0.503: int64
0.504: int64
0.505: int64
0.506: int64
0.507: int64
0.508: int64
0.509: int64
0.510: int64
0.511: int64
0.512: int64
0.513: int64
0.514: int64
0.515: int64
0.516: int64
0.517: int64
0.518: int64
0.519: int64
0.520: int64
0.521: int64
0.522: int64
0.523: int64
0.524: int64
0.525: int64
0.526: int64
0.527: int64
0.528: int64
0.529: int64
0.530: int64
0.531: int64
0.532: int64
0.533: int64
0.534: int64
0.535: int64
0.536: int64
0.537: int64
0.538: int64
0.539: int64
0.540: int64
0.541: int64
0.542: int64
0.543: int64
0.544: int64
0.545: int64
0.546: int64
0.547: int64
0.548: int64
0.549: int64
0.550: int64
0.551: int64
0.552: int64
0.553: int64
0.554: int64
0.555: int64
0.556: int64
0.557: int64
0.558: int64
0.559: int64
0.560: int64
0.561: int64
0.562: int64
0.563: int64
0.564: int64
0.565: int64
0.566: int64
0.567: int64
0.568: int64
0.569: int64
0.570: int64
0.571: int64
0.572: int64
0.573: int64
0.574: int64
0.575: int64
0.576: int64
0.577: int64
0.578: int64
0.579: 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
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 83572
to
{'longitude': Value(dtype='float64', id=None), 'latitude': Value(dtype='float64', id=None), 'housing_median_age': Value(dtype='float64', id=None), 'total_rooms': Value(dtype='float64', id=None), 'total_bedrooms': Value(dtype='float64', id=None), 'population': Value(dtype='float64', id=None), 'households': Value(dtype='float64', id=None), 'median_income': Value(dtype='float64', id=None), 'median_house_value': Value(dtype='float64', 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 1433, 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 989, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, 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 1873, 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 785 new columns ({'0.72', '0.227', '222', '0.299', '0.181', '0.473', '0.523', '0.302', '20', '73', '0.542', '0.9', '0.274', '0.57', '0.66', '0.128', '0.420', '0.81', '0.369', '0.466', '104', '0.450', '0.351', '0.354', '0.576', '0.256', '0.141', '252.19', '0.474', '0.86', '66.2', '0.272', '0.400', '0.105', '0.219', '0.348', '98', '0.549', '0.129', '0.550', '0.477', '0.149', '0.10', '0.361', '253.1', '0.521', '0.488', '132', '0.503', '0.287', '0.252', '0.309', '252.36', '0.406', '252.14', '179', '0.143', '0.78', '0.433', '0.267', '0.257', '0.126', '119', '0.539', '0.283', '165', '175', '0.319', '0.589', '0.575', '252.39', '0.197', '10', '183', '0.212', '0.175', '0.389', '0.38', '0.164', '0.431', '0.74', '252', '0.289', '0.585', '0.318', '92', '0.308', '0.457', '0.518', '0.221', '0.130', '21', '0.314', '253', '0.106', '0.317', '0.506', '0.261', '0.329', '0.411', '0.432', '0.459', '0.540', '0.134', '252.32', '177.1', '96', '0.75', '0.137', '0.203', '0.122', '0.328', '252.10', '0.188', '0.24', '0.495', '89', '152', '243', '89.3', '0.559', '0.467', '252.6', '0.277', '143.1', '0.418', '0.573', '0.562', '0.25', '0.363', '253.4', '0.570', '252.16', '0.536', '0.118', '0.151', '0.300', '0.62', '0.202', '252.43', '147', '253.5', '0.515', '0.47', '0.49', '239', '0.28', '0.234', '0.520', '0.52', '252.48', '0.470', '0.541', '82', '252.13', '89.2', '0.12', '0.366', '252.27', '0.320', '0.135', '19', '0.485', '0.305', '114', '0.34', '0.71', '0.384', '0.421', '252.42', '0.200', '0.144', '0.206', '0.239', '0.529
...
8', '0.345', '0.107', '0.3', '0.313', '252.41', '0.327', '0.372', '252.46', '0.293', '0.394', '0.326', '0.512', '0.230', '88', '0.208', '0.235', '0.215', '135', '0.16', '0.425', '66.3', '0.558', '0.155', '0.194', '100', '0.475', '0.172', '252.33', '0.125', '0.494', '0.269', '0.505', '0.387', '0.20', '0.31', '0.99', '0.84', '0.273', '0.17', '0.245', '0.404', '0.240', '0.201', '0.268', '0.4', '178', '0.456', '2.1', '0.195', '0.530', '0.159', '0.552', '0.341', '66.4', '0.58', '0.50', '0.524', '0.581', '0.446', '48', '0.265', '0.548', '0.68', '253.3', '0.322', '0.510', '0.15', '0.229', '0.355', '0.2', '0.266', '0.294', '0.340', '252.40', '0.223', '252.12', '0.544', '0.382', '0.180', '0.304', '0.213', '0.236', '0.343', '0.464', '0.357', '110', '0.561', '0.98', '0.89', '0.346', '252.29', '252.28', '0.168', '0', '0.513', '0.93', '0.353', '12.1', '0.335', '0.243', '0.14', '0.19', '0.182', '0.102', '0.362', '0.42', '159.1', '13', '0.408', '0.526', '0.43', '0.214', '0.77', '0.339', '0.36', '0.344', '159', '26', '0.169', '0.232', '0.97', '232', '0.342', '0.67', '0.386', '228', '0.531', '0.174', '0.567', '126.1', '0.190', '0.291', '0.388', '0.586', '0.378', '0.147', '0.414', '12', '0.250', '0.278', '0.434', '66', '2', '0.153', '0.109', '0.577', '0.65', '0.399', '0.377', '0.154', '0.358', '0.139', '34', '0.364', '0.95', '0.91', '0.376', '0.264', '0.315', '0.187', '0.279', '0.316', '252.21', '0.568', '0.41', '0.113', '0.290', '0.365', '18', '0.158', '0.225', '0.251', '128', '0.380', '237'}) and 9 missing columns ({'households', 'latitude', 'median_income', 'total_rooms', 'longitude', 'total_bedrooms', 'population', 'median_house_value', 'housing_median_age'}).
This happened while the csv dataset builder was generating data using
hf://datasets/haibaraconan/tif/mnist_train_small.csv (at revision 40969d4fce60c8144139bf5d3f54416fbedb7607)
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.
longitude
float64 | latitude
float64 | housing_median_age
float64 | total_rooms
float64 | total_bedrooms
float64 | population
float64 | households
float64 | median_income
float64 | median_house_value
float64 |
|---|---|---|---|---|---|---|---|---|
-114.31 | 34.19 | 15 | 5,612 | 1,283 | 1,015 | 472 | 1.4936 | 66,900 |
-114.47 | 34.4 | 19 | 7,650 | 1,901 | 1,129 | 463 | 1.82 | 80,100 |
-114.56 | 33.69 | 17 | 720 | 174 | 333 | 117 | 1.6509 | 85,700 |
-114.57 | 33.64 | 14 | 1,501 | 337 | 515 | 226 | 3.1917 | 73,400 |
-114.57 | 33.57 | 20 | 1,454 | 326 | 624 | 262 | 1.925 | 65,500 |
-114.58 | 33.63 | 29 | 1,387 | 236 | 671 | 239 | 3.3438 | 74,000 |
-114.58 | 33.61 | 25 | 2,907 | 680 | 1,841 | 633 | 2.6768 | 82,400 |
-114.59 | 34.83 | 41 | 812 | 168 | 375 | 158 | 1.7083 | 48,500 |
-114.59 | 33.61 | 34 | 4,789 | 1,175 | 3,134 | 1,056 | 2.1782 | 58,400 |
-114.6 | 34.83 | 46 | 1,497 | 309 | 787 | 271 | 2.1908 | 48,100 |
-114.6 | 33.62 | 16 | 3,741 | 801 | 2,434 | 824 | 2.6797 | 86,500 |
-114.6 | 33.6 | 21 | 1,988 | 483 | 1,182 | 437 | 1.625 | 62,000 |
-114.61 | 34.84 | 48 | 1,291 | 248 | 580 | 211 | 2.1571 | 48,600 |
-114.61 | 34.83 | 31 | 2,478 | 464 | 1,346 | 479 | 3.212 | 70,400 |
-114.63 | 32.76 | 15 | 1,448 | 378 | 949 | 300 | 0.8585 | 45,000 |
-114.65 | 34.89 | 17 | 2,556 | 587 | 1,005 | 401 | 1.6991 | 69,100 |
-114.65 | 33.6 | 28 | 1,678 | 322 | 666 | 256 | 2.9653 | 94,900 |
-114.65 | 32.79 | 21 | 44 | 33 | 64 | 27 | 0.8571 | 25,000 |
-114.66 | 32.74 | 17 | 1,388 | 386 | 775 | 320 | 1.2049 | 44,000 |
-114.67 | 33.92 | 17 | 97 | 24 | 29 | 15 | 1.2656 | 27,500 |
-114.68 | 33.49 | 20 | 1,491 | 360 | 1,135 | 303 | 1.6395 | 44,400 |
-114.73 | 33.43 | 24 | 796 | 243 | 227 | 139 | 0.8964 | 59,200 |
-114.94 | 34.55 | 20 | 350 | 95 | 119 | 58 | 1.625 | 50,000 |
-114.98 | 33.82 | 15 | 644 | 129 | 137 | 52 | 3.2097 | 71,300 |
-115.22 | 33.54 | 18 | 1,706 | 397 | 3,424 | 283 | 1.625 | 53,500 |
-115.32 | 32.82 | 34 | 591 | 139 | 327 | 89 | 3.6528 | 100,000 |
-115.37 | 32.82 | 30 | 1,602 | 322 | 1,130 | 335 | 3.5735 | 71,100 |
-115.37 | 32.82 | 14 | 1,276 | 270 | 867 | 261 | 1.9375 | 80,900 |
-115.37 | 32.81 | 32 | 741 | 191 | 623 | 169 | 1.7604 | 68,600 |
-115.37 | 32.81 | 23 | 1,458 | 294 | 866 | 275 | 2.3594 | 74,300 |
-115.38 | 32.82 | 38 | 1,892 | 394 | 1,175 | 374 | 1.9939 | 65,800 |
-115.38 | 32.81 | 35 | 1,263 | 262 | 950 | 241 | 1.8958 | 67,500 |
-115.39 | 32.76 | 16 | 1,136 | 196 | 481 | 185 | 6.2558 | 146,300 |
-115.4 | 32.86 | 19 | 1,087 | 171 | 649 | 173 | 3.3182 | 113,800 |
-115.4 | 32.7 | 19 | 583 | 113 | 531 | 134 | 1.6838 | 95,800 |
-115.41 | 32.99 | 29 | 1,141 | 220 | 684 | 194 | 3.4038 | 107,800 |
-115.46 | 33.19 | 33 | 1,234 | 373 | 777 | 298 | 1 | 40,000 |
-115.48 | 32.8 | 21 | 1,260 | 246 | 805 | 239 | 2.6172 | 88,500 |
-115.48 | 32.68 | 15 | 3,414 | 666 | 2,097 | 622 | 2.3319 | 91,200 |
-115.49 | 32.87 | 19 | 541 | 104 | 457 | 106 | 3.3583 | 102,800 |
-115.49 | 32.69 | 17 | 1,960 | 389 | 1,691 | 356 | 1.899 | 64,000 |
-115.49 | 32.67 | 29 | 1,523 | 440 | 1,302 | 393 | 1.1311 | 84,700 |
-115.49 | 32.67 | 25 | 2,322 | 573 | 2,185 | 602 | 1.375 | 70,100 |
-115.5 | 32.75 | 13 | 330 | 72 | 822 | 64 | 3.4107 | 142,500 |
-115.5 | 32.68 | 18 | 3,631 | 913 | 3,565 | 924 | 1.5931 | 88,400 |
-115.5 | 32.67 | 35 | 2,159 | 492 | 1,694 | 475 | 2.1776 | 75,500 |
-115.51 | 33.24 | 32 | 1,995 | 523 | 1,069 | 410 | 1.6552 | 43,300 |
-115.51 | 33.12 | 21 | 1,024 | 218 | 890 | 232 | 2.101 | 46,700 |
-115.51 | 32.99 | 20 | 1,402 | 287 | 1,104 | 317 | 1.9088 | 63,700 |
-115.51 | 32.68 | 11 | 2,872 | 610 | 2,644 | 581 | 2.625 | 72,700 |
-115.52 | 34.22 | 30 | 540 | 136 | 122 | 63 | 1.3333 | 42,500 |
-115.52 | 33.13 | 18 | 1,109 | 283 | 1,006 | 253 | 2.163 | 53,400 |
-115.52 | 33.12 | 38 | 1,327 | 262 | 784 | 231 | 1.8793 | 60,800 |
-115.52 | 32.98 | 32 | 1,615 | 382 | 1,307 | 345 | 1.4583 | 58,600 |
-115.52 | 32.97 | 24 | 1,617 | 366 | 1,416 | 401 | 1.975 | 66,400 |
-115.52 | 32.97 | 10 | 1,879 | 387 | 1,376 | 337 | 1.9911 | 67,500 |
-115.52 | 32.77 | 18 | 1,715 | 337 | 1,166 | 333 | 2.2417 | 79,200 |
-115.52 | 32.73 | 17 | 1,190 | 275 | 1,113 | 258 | 2.3571 | 63,100 |
-115.52 | 32.67 | 6 | 2,804 | 581 | 2,807 | 594 | 2.0625 | 67,700 |
-115.53 | 34.91 | 12 | 807 | 199 | 246 | 102 | 2.5391 | 40,000 |
-115.53 | 32.99 | 25 | 2,578 | 634 | 2,082 | 565 | 1.7159 | 62,200 |
-115.53 | 32.97 | 35 | 1,583 | 340 | 933 | 318 | 2.4063 | 70,700 |
-115.53 | 32.97 | 34 | 2,231 | 545 | 1,568 | 510 | 1.5217 | 60,300 |
-115.53 | 32.73 | 14 | 1,527 | 325 | 1,453 | 332 | 1.735 | 61,200 |
-115.54 | 32.99 | 23 | 1,459 | 373 | 1,148 | 388 | 1.5372 | 69,400 |
-115.54 | 32.99 | 17 | 1,697 | 268 | 911 | 254 | 4.3523 | 96,000 |
-115.54 | 32.98 | 27 | 1,513 | 395 | 1,121 | 381 | 1.9464 | 60,600 |
-115.54 | 32.97 | 41 | 2,429 | 454 | 1,188 | 430 | 3.0091 | 70,800 |
-115.54 | 32.79 | 23 | 1,712 | 403 | 1,370 | 377 | 1.275 | 60,400 |
-115.55 | 32.98 | 33 | 2,266 | 365 | 952 | 360 | 5.4349 | 143,000 |
-115.55 | 32.98 | 24 | 2,565 | 530 | 1,447 | 473 | 3.2593 | 80,800 |
-115.55 | 32.82 | 34 | 1,540 | 316 | 1,013 | 274 | 2.5664 | 67,500 |
-115.55 | 32.8 | 23 | 666 | 142 | 580 | 160 | 2.1136 | 61,000 |
-115.55 | 32.79 | 23 | 1,004 | 221 | 697 | 201 | 1.6351 | 59,600 |
-115.55 | 32.79 | 22 | 565 | 162 | 692 | 141 | 1.2083 | 53,600 |
-115.55 | 32.78 | 5 | 2,652 | 606 | 1,767 | 536 | 2.8025 | 84,300 |
-115.56 | 32.96 | 21 | 2,164 | 480 | 1,164 | 421 | 3.8177 | 107,200 |
-115.56 | 32.8 | 28 | 1,672 | 416 | 1,335 | 397 | 1.5987 | 59,400 |
-115.56 | 32.8 | 25 | 1,311 | 375 | 1,193 | 351 | 2.1979 | 63,900 |
-115.56 | 32.8 | 15 | 1,171 | 328 | 1,024 | 298 | 1.3882 | 69,400 |
-115.56 | 32.79 | 20 | 2,372 | 835 | 2,283 | 767 | 1.1707 | 62,500 |
-115.56 | 32.79 | 18 | 1,178 | 438 | 1,377 | 429 | 1.3373 | 58,300 |
-115.56 | 32.78 | 46 | 2,511 | 490 | 1,583 | 469 | 3.0603 | 70,800 |
-115.56 | 32.78 | 35 | 1,185 | 202 | 615 | 191 | 4.6154 | 86,200 |
-115.56 | 32.78 | 29 | 1,568 | 283 | 848 | 245 | 3.1597 | 76,200 |
-115.56 | 32.76 | 15 | 1,278 | 217 | 653 | 185 | 4.4821 | 140,300 |
-115.57 | 32.85 | 33 | 1,365 | 269 | 825 | 250 | 3.2396 | 62,300 |
-115.57 | 32.85 | 17 | 1,039 | 256 | 728 | 246 | 1.7411 | 63,500 |
-115.57 | 32.84 | 29 | 1,207 | 301 | 804 | 288 | 1.9531 | 61,100 |
-115.57 | 32.83 | 31 | 1,494 | 289 | 959 | 284 | 3.5282 | 67,500 |
-115.57 | 32.8 | 16 | 2,276 | 594 | 1,184 | 513 | 1.875 | 93,800 |
-115.57 | 32.79 | 34 | 1,152 | 208 | 621 | 208 | 3.6042 | 73,600 |
-115.57 | 32.78 | 20 | 1,534 | 235 | 871 | 222 | 6.2715 | 97,200 |
-115.57 | 32.78 | 15 | 1,413 | 279 | 803 | 277 | 4.3021 | 87,500 |
-115.58 | 33.88 | 21 | 1,161 | 282 | 724 | 186 | 3.1827 | 71,700 |
-115.58 | 32.81 | 5 | 805 | 143 | 458 | 143 | 4.475 | 96,300 |
-115.58 | 32.81 | 10 | 1,088 | 203 | 533 | 201 | 3.6597 | 87,500 |
-115.58 | 32.79 | 14 | 1,687 | 507 | 762 | 451 | 1.6635 | 64,400 |
-115.58 | 32.78 | 5 | 2,494 | 414 | 1,416 | 421 | 5.7843 | 110,100 |
-115.59 | 32.85 | 20 | 1,608 | 274 | 862 | 248 | 4.875 | 90,800 |
End of preview.
This directory includes a few sample datasets to get you started.
california_housing_data*.csvis California housing data from the 1990 US Census; more information is available at: https://developers.google.com/machine-learning/crash-course/california-housing-data-descriptionmnist_*.csvis a small sample of the MNIST database, which is described at: http://yann.lecun.com/exdb/mnist/anscombe.jsoncontains a copy of Anscombe's quartet; it was originally described inAnscombe, F. J. (1973). 'Graphs in Statistical Analysis'. American Statistician. 27 (1): 17-21. JSTOR 2682899.
and our copy was prepared by the vega_datasets library.
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