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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 1 new columns ({'id'}) and 1 missing columns ({'price_range'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Mahesh1909/MobilePricePrediction/test.csv (at revision 765b3ff26a92f01a68cc57f0d8c476824c7e78f9)
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 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
id: int64
battery_power: int64
blue: int64
clock_speed: double
dual_sim: int64
fc: int64
four_g: int64
int_memory: int64
m_dep: double
mobile_wt: int64
n_cores: int64
pc: int64
px_height: int64
px_width: int64
ram: int64
sc_h: int64
sc_w: int64
talk_time: int64
three_g: int64
touch_screen: int64
wifi: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2585
to
{'battery_power': Value(dtype='int64', id=None), 'blue': Value(dtype='int64', id=None), 'clock_speed': Value(dtype='float64', id=None), 'dual_sim': Value(dtype='int64', id=None), 'fc': Value(dtype='int64', id=None), 'four_g': Value(dtype='int64', id=None), 'int_memory': Value(dtype='int64', id=None), 'm_dep': Value(dtype='float64', id=None), 'mobile_wt': Value(dtype='int64', id=None), 'n_cores': Value(dtype='int64', id=None), 'pc': Value(dtype='int64', id=None), 'px_height': Value(dtype='int64', id=None), 'px_width': Value(dtype='int64', id=None), 'ram': Value(dtype='int64', id=None), 'sc_h': Value(dtype='int64', id=None), 'sc_w': Value(dtype='int64', id=None), 'talk_time': Value(dtype='int64', id=None), 'three_g': Value(dtype='int64', id=None), 'touch_screen': Value(dtype='int64', id=None), 'wifi': Value(dtype='int64', id=None), 'price_range': 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 1438, 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 1050, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, 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 1741, 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 1872, 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 1 new columns ({'id'}) and 1 missing columns ({'price_range'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Mahesh1909/MobilePricePrediction/test.csv (at revision 765b3ff26a92f01a68cc57f0d8c476824c7e78f9)
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.
battery_power int64 | blue int64 | clock_speed float64 | dual_sim int64 | fc int64 | four_g int64 | int_memory int64 | m_dep float64 | mobile_wt int64 | n_cores int64 | pc int64 | px_height int64 | px_width int64 | ram int64 | sc_h int64 | sc_w int64 | talk_time int64 | three_g int64 | touch_screen int64 | wifi int64 | price_range int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
842 | 0 | 2.2 | 0 | 1 | 0 | 7 | 0.6 | 188 | 2 | 2 | 20 | 756 | 2,549 | 9 | 7 | 19 | 0 | 0 | 1 | 1 |
1,021 | 1 | 0.5 | 1 | 0 | 1 | 53 | 0.7 | 136 | 3 | 6 | 905 | 1,988 | 2,631 | 17 | 3 | 7 | 1 | 1 | 0 | 2 |
563 | 1 | 0.5 | 1 | 2 | 1 | 41 | 0.9 | 145 | 5 | 6 | 1,263 | 1,716 | 2,603 | 11 | 2 | 9 | 1 | 1 | 0 | 2 |
615 | 1 | 2.5 | 0 | 0 | 0 | 10 | 0.8 | 131 | 6 | 9 | 1,216 | 1,786 | 2,769 | 16 | 8 | 11 | 1 | 0 | 0 | 2 |
1,821 | 1 | 1.2 | 0 | 13 | 1 | 44 | 0.6 | 141 | 2 | 14 | 1,208 | 1,212 | 1,411 | 8 | 2 | 15 | 1 | 1 | 0 | 1 |
1,859 | 0 | 0.5 | 1 | 3 | 0 | 22 | 0.7 | 164 | 1 | 7 | 1,004 | 1,654 | 1,067 | 17 | 1 | 10 | 1 | 0 | 0 | 1 |
1,821 | 0 | 1.7 | 0 | 4 | 1 | 10 | 0.8 | 139 | 8 | 10 | 381 | 1,018 | 3,220 | 13 | 8 | 18 | 1 | 0 | 1 | 3 |
1,954 | 0 | 0.5 | 1 | 0 | 0 | 24 | 0.8 | 187 | 4 | 0 | 512 | 1,149 | 700 | 16 | 3 | 5 | 1 | 1 | 1 | 0 |
1,445 | 1 | 0.5 | 0 | 0 | 0 | 53 | 0.7 | 174 | 7 | 14 | 386 | 836 | 1,099 | 17 | 1 | 20 | 1 | 0 | 0 | 0 |
509 | 1 | 0.6 | 1 | 2 | 1 | 9 | 0.1 | 93 | 5 | 15 | 1,137 | 1,224 | 513 | 19 | 10 | 12 | 1 | 0 | 0 | 0 |
769 | 1 | 2.9 | 1 | 0 | 0 | 9 | 0.1 | 182 | 5 | 1 | 248 | 874 | 3,946 | 5 | 2 | 7 | 0 | 0 | 0 | 3 |
1,520 | 1 | 2.2 | 0 | 5 | 1 | 33 | 0.5 | 177 | 8 | 18 | 151 | 1,005 | 3,826 | 14 | 9 | 13 | 1 | 1 | 1 | 3 |
1,815 | 0 | 2.8 | 0 | 2 | 0 | 33 | 0.6 | 159 | 4 | 17 | 607 | 748 | 1,482 | 18 | 0 | 2 | 1 | 0 | 0 | 1 |
803 | 1 | 2.1 | 0 | 7 | 0 | 17 | 1 | 198 | 4 | 11 | 344 | 1,440 | 2,680 | 7 | 1 | 4 | 1 | 0 | 1 | 2 |
1,866 | 0 | 0.5 | 0 | 13 | 1 | 52 | 0.7 | 185 | 1 | 17 | 356 | 563 | 373 | 14 | 9 | 3 | 1 | 0 | 1 | 0 |
775 | 0 | 1 | 0 | 3 | 0 | 46 | 0.7 | 159 | 2 | 16 | 862 | 1,864 | 568 | 17 | 15 | 11 | 1 | 1 | 1 | 0 |
838 | 0 | 0.5 | 0 | 1 | 1 | 13 | 0.1 | 196 | 8 | 4 | 984 | 1,850 | 3,554 | 10 | 9 | 19 | 1 | 0 | 1 | 3 |
595 | 0 | 0.9 | 1 | 7 | 1 | 23 | 0.1 | 121 | 3 | 17 | 441 | 810 | 3,752 | 10 | 2 | 18 | 1 | 1 | 0 | 3 |
1,131 | 1 | 0.5 | 1 | 11 | 0 | 49 | 0.6 | 101 | 5 | 18 | 658 | 878 | 1,835 | 19 | 13 | 16 | 1 | 1 | 0 | 1 |
682 | 1 | 0.5 | 0 | 4 | 0 | 19 | 1 | 121 | 4 | 11 | 902 | 1,064 | 2,337 | 11 | 1 | 18 | 0 | 1 | 1 | 1 |
772 | 0 | 1.1 | 1 | 12 | 0 | 39 | 0.8 | 81 | 7 | 14 | 1,314 | 1,854 | 2,819 | 17 | 15 | 3 | 1 | 1 | 0 | 3 |
1,709 | 1 | 2.1 | 0 | 1 | 0 | 13 | 1 | 156 | 2 | 2 | 974 | 1,385 | 3,283 | 17 | 1 | 15 | 1 | 0 | 0 | 3 |
1,949 | 0 | 2.6 | 1 | 4 | 0 | 47 | 0.3 | 199 | 4 | 7 | 407 | 822 | 1,433 | 11 | 5 | 20 | 0 | 0 | 1 | 1 |
1,602 | 1 | 2.8 | 1 | 4 | 1 | 38 | 0.7 | 114 | 3 | 20 | 466 | 788 | 1,037 | 8 | 7 | 20 | 1 | 0 | 0 | 0 |
503 | 0 | 1.2 | 1 | 5 | 1 | 8 | 0.4 | 111 | 3 | 13 | 201 | 1,245 | 2,583 | 11 | 0 | 12 | 1 | 0 | 0 | 1 |
961 | 1 | 1.4 | 1 | 0 | 1 | 57 | 0.6 | 114 | 8 | 3 | 291 | 1,434 | 2,782 | 18 | 9 | 7 | 1 | 1 | 1 | 2 |
519 | 1 | 1.6 | 1 | 7 | 1 | 51 | 0.3 | 132 | 4 | 19 | 550 | 645 | 3,763 | 16 | 1 | 4 | 1 | 0 | 1 | 3 |
956 | 0 | 0.5 | 0 | 1 | 1 | 41 | 1 | 143 | 7 | 6 | 511 | 1,075 | 3,286 | 17 | 8 | 12 | 1 | 1 | 0 | 3 |
1,453 | 0 | 1.6 | 1 | 12 | 1 | 52 | 0.3 | 96 | 2 | 18 | 187 | 1,311 | 2,373 | 10 | 1 | 10 | 1 | 1 | 1 | 2 |
851 | 0 | 0.5 | 0 | 3 | 0 | 21 | 0.4 | 200 | 5 | 7 | 1,171 | 1,263 | 478 | 12 | 7 | 10 | 1 | 0 | 1 | 0 |
1,579 | 1 | 0.5 | 1 | 0 | 0 | 5 | 0.2 | 88 | 7 | 9 | 1,358 | 1,739 | 3,532 | 17 | 11 | 12 | 0 | 0 | 1 | 3 |
1,568 | 1 | 0.5 | 0 | 16 | 0 | 33 | 1 | 150 | 8 | 20 | 413 | 654 | 508 | 5 | 1 | 6 | 1 | 1 | 1 | 0 |
1,319 | 1 | 0.9 | 0 | 3 | 1 | 41 | 0.9 | 107 | 1 | 18 | 85 | 1,152 | 2,227 | 18 | 5 | 3 | 1 | 1 | 1 | 1 |
1,310 | 1 | 2.2 | 1 | 0 | 1 | 51 | 0.6 | 100 | 4 | 0 | 178 | 1,919 | 3,845 | 7 | 0 | 12 | 1 | 1 | 0 | 3 |
644 | 1 | 2.7 | 0 | 0 | 0 | 22 | 0.7 | 157 | 8 | 3 | 311 | 881 | 1,262 | 12 | 1 | 15 | 1 | 0 | 0 | 0 |
725 | 0 | 1.3 | 1 | 16 | 0 | 60 | 0.4 | 160 | 8 | 17 | 1,134 | 1,249 | 1,326 | 10 | 4 | 15 | 1 | 0 | 0 | 1 |
589 | 1 | 2.3 | 1 | 1 | 0 | 61 | 0.6 | 160 | 4 | 10 | 429 | 815 | 2,113 | 13 | 7 | 2 | 1 | 0 | 1 | 1 |
1,725 | 1 | 1.6 | 1 | 6 | 1 | 6 | 0.5 | 119 | 2 | 18 | 609 | 1,307 | 3,429 | 6 | 5 | 4 | 1 | 1 | 0 | 3 |
790 | 0 | 2 | 1 | 16 | 1 | 11 | 0.3 | 87 | 6 | 17 | 347 | 730 | 3,169 | 6 | 1 | 2 | 1 | 0 | 1 | 2 |
560 | 0 | 0.5 | 1 | 15 | 0 | 50 | 0.3 | 159 | 2 | 20 | 1,448 | 1,613 | 2,150 | 18 | 12 | 11 | 1 | 1 | 0 | 2 |
1,347 | 0 | 2.9 | 0 | 5 | 0 | 44 | 0.6 | 132 | 1 | 14 | 434 | 967 | 2,484 | 18 | 2 | 11 | 1 | 0 | 1 | 2 |
1,646 | 1 | 2.3 | 0 | 8 | 1 | 41 | 0.2 | 185 | 2 | 10 | 1,725 | 1,932 | 3,339 | 18 | 10 | 19 | 1 | 1 | 0 | 3 |
1,253 | 1 | 0.5 | 1 | 5 | 1 | 5 | 0.2 | 152 | 2 | 19 | 685 | 714 | 1,878 | 15 | 0 | 4 | 1 | 1 | 0 | 1 |
1,656 | 0 | 1 | 0 | 5 | 1 | 34 | 0.1 | 166 | 3 | 7 | 880 | 1,456 | 1,629 | 15 | 12 | 14 | 1 | 1 | 0 | 1 |
1,195 | 1 | 2.8 | 0 | 1 | 1 | 20 | 0.8 | 110 | 2 | 14 | 1,580 | 1,652 | 504 | 9 | 3 | 12 | 1 | 1 | 0 | 0 |
1,514 | 0 | 2.9 | 0 | 0 | 0 | 27 | 0.2 | 118 | 3 | 1 | 186 | 1,810 | 1,152 | 8 | 3 | 20 | 0 | 1 | 1 | 1 |
1,723 | 1 | 1.1 | 1 | 1 | 0 | 42 | 1 | 164 | 8 | 14 | 202 | 1,791 | 3,587 | 10 | 5 | 3 | 1 | 0 | 0 | 3 |
1,054 | 1 | 1.8 | 1 | 3 | 1 | 40 | 0.8 | 196 | 7 | 10 | 27 | 774 | 2,296 | 16 | 12 | 12 | 1 | 0 | 1 | 1 |
578 | 1 | 2.6 | 1 | 2 | 1 | 57 | 0.2 | 162 | 8 | 8 | 1,025 | 1,433 | 1,270 | 15 | 3 | 5 | 1 | 0 | 1 | 0 |
596 | 0 | 2.1 | 1 | 9 | 0 | 64 | 0.8 | 111 | 8 | 15 | 885 | 1,854 | 3,238 | 16 | 13 | 10 | 0 | 0 | 0 | 3 |
1,547 | 1 | 3 | 1 | 2 | 1 | 14 | 0.7 | 198 | 3 | 19 | 1,042 | 1,832 | 2,059 | 5 | 0 | 15 | 1 | 0 | 1 | 2 |
1,760 | 0 | 1.4 | 1 | 5 | 0 | 63 | 0.8 | 127 | 8 | 19 | 1,382 | 1,383 | 2,053 | 19 | 12 | 16 | 0 | 1 | 0 | 2 |
1,654 | 1 | 1.5 | 1 | 0 | 1 | 43 | 0.3 | 109 | 2 | 0 | 546 | 629 | 3,112 | 12 | 5 | 10 | 1 | 1 | 0 | 3 |
1,457 | 0 | 1.9 | 1 | 1 | 1 | 16 | 0.3 | 102 | 3 | 10 | 1,013 | 1,287 | 1,440 | 17 | 8 | 12 | 1 | 0 | 1 | 1 |
1,073 | 1 | 0.5 | 1 | 0 | 0 | 51 | 0.5 | 145 | 7 | 0 | 690 | 804 | 2,908 | 6 | 0 | 18 | 0 | 1 | 0 | 2 |
1,936 | 0 | 2.1 | 1 | 10 | 1 | 46 | 0.6 | 104 | 3 | 20 | 667 | 1,036 | 2,552 | 14 | 7 | 13 | 1 | 0 | 0 | 2 |
823 | 1 | 2.7 | 1 | 13 | 0 | 60 | 0.5 | 148 | 8 | 19 | 822 | 1,449 | 905 | 14 | 11 | 17 | 1 | 1 | 1 | 0 |
987 | 0 | 1.3 | 1 | 0 | 1 | 61 | 0.4 | 107 | 3 | 9 | 581 | 820 | 3,963 | 9 | 4 | 20 | 1 | 0 | 1 | 3 |
1,757 | 0 | 0.5 | 0 | 8 | 0 | 49 | 0.5 | 180 | 6 | 14 | 265 | 713 | 2,056 | 7 | 5 | 4 | 0 | 0 | 0 | 1 |
1,063 | 0 | 1.4 | 1 | 2 | 1 | 48 | 1 | 128 | 5 | 4 | 127 | 683 | 2,910 | 15 | 13 | 9 | 1 | 1 | 1 | 2 |
1,484 | 0 | 3 | 0 | 3 | 0 | 12 | 0.6 | 134 | 3 | 5 | 916 | 969 | 1,457 | 14 | 4 | 20 | 1 | 1 | 0 | 1 |
799 | 1 | 2.3 | 0 | 1 | 1 | 63 | 0.8 | 144 | 8 | 6 | 361 | 975 | 431 | 15 | 6 | 6 | 1 | 1 | 1 | 0 |
1,156 | 1 | 1.2 | 1 | 0 | 1 | 50 | 0.8 | 159 | 2 | 0 | 322 | 547 | 470 | 7 | 0 | 15 | 1 | 1 | 0 | 0 |
1,720 | 0 | 2 | 0 | 15 | 1 | 55 | 0.5 | 168 | 2 | 18 | 753 | 1,353 | 2,148 | 14 | 2 | 5 | 1 | 1 | 1 | 2 |
702 | 0 | 2.6 | 1 | 2 | 1 | 9 | 0.7 | 141 | 3 | 3 | 504 | 1,570 | 2,955 | 10 | 4 | 19 | 1 | 0 | 0 | 2 |
616 | 0 | 1.9 | 1 | 13 | 1 | 44 | 0.8 | 81 | 3 | 17 | 651 | 1,618 | 3,366 | 18 | 8 | 13 | 1 | 1 | 0 | 3 |
1,358 | 1 | 0.5 | 0 | 11 | 1 | 36 | 0.3 | 155 | 4 | 14 | 1,565 | 1,858 | 3,068 | 9 | 4 | 4 | 1 | 1 | 0 | 3 |
1,866 | 0 | 1.4 | 0 | 0 | 0 | 30 | 0.5 | 182 | 3 | 0 | 108 | 1,781 | 3,834 | 16 | 11 | 8 | 0 | 0 | 0 | 3 |
1,242 | 0 | 1.1 | 1 | 0 | 0 | 10 | 0.6 | 165 | 2 | 1 | 459 | 1,225 | 1,050 | 11 | 1 | 4 | 1 | 0 | 1 | 0 |
1,166 | 0 | 1.5 | 1 | 0 | 1 | 43 | 0.8 | 80 | 4 | 1 | 205 | 603 | 3,993 | 7 | 1 | 7 | 1 | 1 | 0 | 3 |
1,448 | 1 | 0.5 | 1 | 6 | 1 | 45 | 0.8 | 138 | 7 | 11 | 570 | 1,724 | 3,378 | 13 | 11 | 2 | 1 | 1 | 1 | 3 |
1,407 | 1 | 2.4 | 0 | 1 | 1 | 22 | 0.7 | 104 | 4 | 4 | 1,172 | 1,217 | 2,192 | 9 | 7 | 13 | 1 | 0 | 1 | 2 |
605 | 0 | 1 | 0 | 8 | 1 | 9 | 0.1 | 142 | 3 | 16 | 160 | 1,026 | 392 | 15 | 6 | 4 | 1 | 0 | 0 | 0 |
1,038 | 0 | 1.2 | 0 | 3 | 0 | 43 | 0.7 | 141 | 1 | 5 | 4 | 638 | 3,709 | 11 | 0 | 12 | 1 | 1 | 1 | 3 |
797 | 1 | 2.9 | 1 | 4 | 0 | 38 | 0.5 | 90 | 4 | 6 | 763 | 1,413 | 590 | 9 | 2 | 6 | 0 | 1 | 0 | 0 |
819 | 0 | 0.6 | 1 | 8 | 1 | 42 | 0.9 | 188 | 6 | 20 | 339 | 1,242 | 1,814 | 5 | 4 | 13 | 1 | 0 | 1 | 1 |
1,114 | 0 | 2.8 | 0 | 4 | 1 | 9 | 0.4 | 197 | 3 | 15 | 1,040 | 1,071 | 907 | 10 | 7 | 17 | 1 | 1 | 0 | 0 |
1,234 | 1 | 1.6 | 1 | 1 | 0 | 33 | 0.6 | 172 | 1 | 3 | 166 | 778 | 1,449 | 11 | 7 | 6 | 0 | 0 | 1 | 0 |
1,199 | 1 | 2.5 | 1 | 15 | 1 | 16 | 0.2 | 116 | 4 | 20 | 1,168 | 1,552 | 3,448 | 17 | 13 | 10 | 1 | 0 | 1 | 3 |
1,103 | 0 | 1 | 1 | 6 | 0 | 29 | 0.7 | 111 | 6 | 8 | 990 | 1,486 | 1,837 | 8 | 7 | 16 | 0 | 1 | 1 | 1 |
1,589 | 1 | 0.6 | 1 | 0 | 1 | 58 | 0.9 | 85 | 7 | 7 | 319 | 1,206 | 3,464 | 19 | 10 | 6 | 1 | 1 | 1 | 3 |
999 | 0 | 2.9 | 1 | 11 | 1 | 64 | 0.2 | 199 | 4 | 19 | 1,397 | 1,616 | 2,593 | 14 | 11 | 16 | 1 | 1 | 0 | 2 |
1,510 | 1 | 0.9 | 1 | 2 | 0 | 45 | 0.9 | 180 | 5 | 3 | 708 | 1,752 | 3,484 | 9 | 6 | 11 | 0 | 1 | 1 | 3 |
1,008 | 0 | 0.8 | 0 | 11 | 0 | 61 | 1 | 114 | 3 | 15 | 1,077 | 1,122 | 2,009 | 10 | 3 | 11 | 1 | 0 | 0 | 1 |
1,127 | 1 | 2.9 | 1 | 5 | 1 | 57 | 0.8 | 163 | 1 | 13 | 928 | 1,049 | 2,048 | 11 | 5 | 17 | 1 | 1 | 1 | 1 |
1,412 | 1 | 2.4 | 0 | 5 | 0 | 25 | 0.8 | 96 | 8 | 17 | 516 | 1,894 | 837 | 15 | 9 | 4 | 0 | 0 | 1 | 1 |
1,496 | 1 | 2 | 1 | 4 | 0 | 42 | 0.5 | 182 | 5 | 5 | 96 | 741 | 854 | 16 | 0 | 7 | 0 | 1 | 1 | 0 |
1,083 | 1 | 2.9 | 1 | 1 | 1 | 64 | 0.8 | 178 | 3 | 11 | 1,025 | 1,118 | 3,210 | 13 | 3 | 4 | 1 | 0 | 0 | 3 |
668 | 0 | 0.5 | 1 | 0 | 0 | 3 | 0.1 | 155 | 5 | 13 | 666 | 1,203 | 2,746 | 9 | 5 | 8 | 1 | 1 | 1 | 2 |
1,309 | 0 | 1.1 | 1 | 0 | 0 | 33 | 0.5 | 100 | 4 | 14 | 557 | 1,402 | 2,334 | 10 | 1 | 11 | 1 | 0 | 1 | 2 |
1,724 | 0 | 2 | 1 | 2 | 1 | 57 | 0.5 | 177 | 3 | 5 | 1,605 | 1,924 | 2,822 | 19 | 3 | 16 | 1 | 1 | 0 | 3 |
1,977 | 1 | 2 | 1 | 7 | 1 | 54 | 1 | 171 | 7 | 18 | 1,226 | 1,242 | 1,971 | 18 | 7 | 14 | 1 | 1 | 0 | 2 |
885 | 0 | 2.3 | 1 | 0 | 1 | 15 | 0.4 | 103 | 7 | 0 | 769 | 802 | 1,410 | 16 | 10 | 5 | 1 | 1 | 1 | 0 |
879 | 1 | 2.5 | 0 | 11 | 1 | 14 | 0.7 | 83 | 6 | 15 | 403 | 1,105 | 349 | 16 | 10 | 2 | 1 | 0 | 1 | 0 |
1,322 | 0 | 1.7 | 1 | 6 | 0 | 7 | 0.8 | 140 | 3 | 9 | 177 | 1,990 | 1,418 | 19 | 17 | 12 | 0 | 1 | 0 | 1 |
1,137 | 1 | 1 | 0 | 18 | 0 | 7 | 1 | 196 | 3 | 19 | 942 | 1,179 | 3,616 | 13 | 5 | 12 | 1 | 1 | 1 | 3 |
1,355 | 0 | 2.3 | 0 | 10 | 1 | 23 | 0.2 | 132 | 5 | 16 | 651 | 891 | 880 | 19 | 4 | 8 | 1 | 1 | 0 | 0 |
1,665 | 1 | 0.5 | 0 | 3 | 1 | 60 | 0.2 | 194 | 6 | 18 | 1,572 | 1,684 | 1,601 | 18 | 17 | 14 | 1 | 0 | 0 | 2 |
657 | 0 | 2.5 | 0 | 0 | 0 | 37 | 0.7 | 141 | 2 | 1 | 476 | 961 | 1,412 | 14 | 3 | 18 | 0 | 1 | 0 | 0 |
593 | 0 | 0.5 | 0 | 6 | 0 | 31 | 0.4 | 156 | 7 | 7 | 1,233 | 1,317 | 1,692 | 6 | 2 | 7 | 1 | 0 | 0 | 1 |
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