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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 76 new columns ({'mean_input_tokens', 'results_end_to_end_latency_s_min', 'results_request_output_throughput_token_per_s_quantiles_p90', 'stddev_output_tokens', 'results_request_output_throughput_token_per_s_stddev', 'results_number_output_tokens_mean', 'mean_output_tokens', 'results_number_input_tokens_stddev', 'results_num_requests_started', 'results_ttft_s_quantiles_p50', 'results_number_output_tokens_min', 'results_number_input_tokens_quantiles_p75', 'results_number_input_tokens_max', 'results_number_output_tokens_quantiles_p50', 'results_inter_token_latency_s_min', 'results_end_to_end_latency_s_quantiles_p90', 'results_end_to_end_latency_s_max', 'results_number_input_tokens_quantiles_p50', 'results_number_output_tokens_quantiles_p99', 'results_ttft_s_stddev', 'results_inter_token_latency_s_stddev', 'results_number_input_tokens_mean', 'results_end_to_end_latency_s_stddev', 'results_inter_token_latency_s_quantiles_p75', 'results_number_output_tokens_quantiles_p90', 'results_ttft_s_max', 'results_end_to_end_latency_s_quantiles_p50', 'model', 'results_inter_token_latency_s_mean', 'results_ttft_s_quantiles_p75', 'results_end_to_end_latency_s_quantiles_p75', 'results_error_code_frequency', 'results_inter_token_latency_s_quantiles_p25', 'results_end_to_end_latency_s_quantiles_p95', 'results_request_output_throughput_token_per_s_quantiles_p25', 'stddev_input_tokens', 'results_end_to_end_latency_s_mean', 'results_number_input_tokens_quantiles_p99', 'results_error_rate', 'results_number_output_tokens_quantiles_p25', 'results_number_output_tokens_quantiles_p75', 'results_inter_token_latency_s_quantiles_p99', 'results_number_output_tokens_quantiles_p95', 'results_number_output_tokens_stddev', 'results_inter_token_latency_s_quantiles_p50', 'results_request_output_throughput_token_per_s_mean', 'version', 'results_request_output_throughput_token_per_s_quantiles_p99', 'results_number_output_tokens_max', 'results_request_output_throughput_token_per_s_max', 'results_end_to_end_latency_s_quantiles_p99', 'timestamp', 'num_concurrent_requests', 'results_number_errors', 'results_num_completed_requests', 'results_number_input_tokens_quantiles_p90', 'results_request_output_throughput_token_per_s_quantiles_p75', 'results_end_to_end_latency_s_quantiles_p25', 'results_ttft_s_min', 'results_request_output_throughput_token_per_s_quantiles_p95', 'results_inter_token_latency_s_quantiles_p90', 'results_mean_output_throughput_token_per_s', 'results_ttft_s_quantiles_p95', 'results_request_output_throughput_token_per_s_quantiles_p50', 'results_ttft_s_mean', 'results_ttft_s_quantiles_p25', 'results_number_input_tokens_min', 'results_num_completed_requests_per_min', 'results_ttft_s_quantiles_p90', 'results_ttft_s_quantiles_p99', 'results_number_input_tokens_quantiles_p25', 'results_inter_token_latency_s_quantiles_p95', 'results_inter_token_latency_s_max', 'results_request_output_throughput_token_per_s_min', 'results_number_input_tokens_quantiles_p95', 'name'}) and 9 missing columns ({'error_msg', 'request_output_throughput_token_per_s', 'inter_token_latency_s', 'number_total_tokens', 'end_to_end_latency_s', 'error_code', 'number_input_tokens', 'number_output_tokens', 'ttft_s'}). This happened while the json dataset builder was generating data using hf://datasets/ssong1/llmperf-bedrock/raw_data/bedrock-anthropic-claude-instant-v1_1024_0_1024_100_summary.json (at revision 820b8e769eb61c207909825cbf4a4e58f3914a1d) 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 version: timestamp[s] name: string model: string mean_input_tokens: int64 stddev_input_tokens: int64 mean_output_tokens: int64 stddev_output_tokens: int64 num_concurrent_requests: int64 results_inter_token_latency_s_quantiles_p25: double results_inter_token_latency_s_quantiles_p50: double results_inter_token_latency_s_quantiles_p75: double results_inter_token_latency_s_quantiles_p90: double results_inter_token_latency_s_quantiles_p95: double results_inter_token_latency_s_quantiles_p99: double results_inter_token_latency_s_mean: double results_inter_token_latency_s_min: double results_inter_token_latency_s_max: double results_inter_token_latency_s_stddev: double results_ttft_s_quantiles_p25: double results_ttft_s_quantiles_p50: double results_ttft_s_quantiles_p75: double results_ttft_s_quantiles_p90: double results_ttft_s_quantiles_p95: double results_ttft_s_quantiles_p99: double results_ttft_s_mean: double results_ttft_s_min: double results_ttft_s_max: double results_ttft_s_stddev: double results_end_to_end_latency_s_quantiles_p25: double results_end_to_end_latency_s_quantiles_p50: double results_end_to_end_latency_s_quantiles_p75: double results_end_to_end_latency_s_quantiles_p90: double results_end_to_end_latency_s_quantiles_p95: double results_end_to_end_latency_s_quantiles_p99: double results_end_to_end_latency_s_mean: double results_end_to_end_latency_s_min: double results_end_to_end_latency_s_max: double results_end_to_end_latency_s_stddev: double results_request_output ... throughput_token_per_s_quantiles_p99: double results_request_output_throughput_token_per_s_mean: double results_request_output_throughput_token_per_s_min: double results_request_output_throughput_token_per_s_max: double results_request_output_throughput_token_per_s_stddev: double results_number_input_tokens_quantiles_p25: double results_number_input_tokens_quantiles_p50: double results_number_input_tokens_quantiles_p75: double results_number_input_tokens_quantiles_p90: double results_number_input_tokens_quantiles_p95: double results_number_input_tokens_quantiles_p99: double results_number_input_tokens_mean: double results_number_input_tokens_min: string results_number_input_tokens_max: string results_number_input_tokens_stddev: double results_number_output_tokens_quantiles_p25: double results_number_output_tokens_quantiles_p50: double results_number_output_tokens_quantiles_p75: double results_number_output_tokens_quantiles_p90: double results_number_output_tokens_quantiles_p95: double results_number_output_tokens_quantiles_p99: double results_number_output_tokens_mean: double results_number_output_tokens_min: string results_number_output_tokens_max: string results_number_output_tokens_stddev: double results_num_requests_started: int64 results_error_rate: double results_number_errors: int64 results_error_code_frequency: string results_mean_output_throughput_token_per_s: double results_num_completed_requests: int64 results_num_completed_requests_per_min: double timestamp: int64 to {'error_msg': Value(dtype='string', id=None), 'request_output_throughput_token_per_s': Value(dtype='float64', id=None), 'inter_token_latency_s': Value(dtype='float64', id=None), 'number_total_tokens': Value(dtype='int64', id=None), 'end_to_end_latency_s': Value(dtype='float64', id=None), 'error_code': Value(dtype='null', id=None), 'number_input_tokens': Value(dtype='int64', id=None), 'number_output_tokens': Value(dtype='int64', id=None), 'ttft_s': 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 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 76 new columns ({'mean_input_tokens', 'results_end_to_end_latency_s_min', 'results_request_output_throughput_token_per_s_quantiles_p90', 'stddev_output_tokens', 'results_request_output_throughput_token_per_s_stddev', 'results_number_output_tokens_mean', 'mean_output_tokens', 'results_number_input_tokens_stddev', 'results_num_requests_started', 'results_ttft_s_quantiles_p50', 'results_number_output_tokens_min', 'results_number_input_tokens_quantiles_p75', 'results_number_input_tokens_max', 'results_number_output_tokens_quantiles_p50', 'results_inter_token_latency_s_min', 'results_end_to_end_latency_s_quantiles_p90', 'results_end_to_end_latency_s_max', 'results_number_input_tokens_quantiles_p50', 'results_number_output_tokens_quantiles_p99', 'results_ttft_s_stddev', 'results_inter_token_latency_s_stddev', 'results_number_input_tokens_mean', 'results_end_to_end_latency_s_stddev', 'results_inter_token_latency_s_quantiles_p75', 'results_number_output_tokens_quantiles_p90', 'results_ttft_s_max', 'results_end_to_end_latency_s_quantiles_p50', 'model', 'results_inter_token_latency_s_mean', 'results_ttft_s_quantiles_p75', 'results_end_to_end_latency_s_quantiles_p75', 'results_error_code_frequency', 'results_inter_token_latency_s_quantiles_p25', 'results_end_to_end_latency_s_quantiles_p95', 'results_request_output_throughput_token_per_s_quantiles_p25', 'stddev_input_tokens', 'results_end_to_end_latency_s_mean', 'results_number_input_tokens_quantiles_p99', 'results_error_rate', 'results_number_output_tokens_quantiles_p25', 'results_number_output_tokens_quantiles_p75', 'results_inter_token_latency_s_quantiles_p99', 'results_number_output_tokens_quantiles_p95', 'results_number_output_tokens_stddev', 'results_inter_token_latency_s_quantiles_p50', 'results_request_output_throughput_token_per_s_mean', 'version', 'results_request_output_throughput_token_per_s_quantiles_p99', 'results_number_output_tokens_max', 'results_request_output_throughput_token_per_s_max', 'results_end_to_end_latency_s_quantiles_p99', 'timestamp', 'num_concurrent_requests', 'results_number_errors', 'results_num_completed_requests', 'results_number_input_tokens_quantiles_p90', 'results_request_output_throughput_token_per_s_quantiles_p75', 'results_end_to_end_latency_s_quantiles_p25', 'results_ttft_s_min', 'results_request_output_throughput_token_per_s_quantiles_p95', 'results_inter_token_latency_s_quantiles_p90', 'results_mean_output_throughput_token_per_s', 'results_ttft_s_quantiles_p95', 'results_request_output_throughput_token_per_s_quantiles_p50', 'results_ttft_s_mean', 'results_ttft_s_quantiles_p25', 'results_number_input_tokens_min', 'results_num_completed_requests_per_min', 'results_ttft_s_quantiles_p90', 'results_ttft_s_quantiles_p99', 'results_number_input_tokens_quantiles_p25', 'results_inter_token_latency_s_quantiles_p95', 'results_inter_token_latency_s_max', 'results_request_output_throughput_token_per_s_min', 'results_number_input_tokens_quantiles_p95', 'name'}) and 9 missing columns ({'error_msg', 'request_output_throughput_token_per_s', 'inter_token_latency_s', 'number_total_tokens', 'end_to_end_latency_s', 'error_code', 'number_input_tokens', 'number_output_tokens', 'ttft_s'}). This happened while the json dataset builder was generating data using hf://datasets/ssong1/llmperf-bedrock/raw_data/bedrock-anthropic-claude-instant-v1_1024_0_1024_100_summary.json (at revision 820b8e769eb61c207909825cbf4a4e58f3914a1d) 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.
request_output_throughput_token_per_s
float64 | inter_token_latency_s
float64 | error_msg
string | error_code
null | end_to_end_latency_s
float64 | number_input_tokens
int64 | number_output_tokens
int64 | ttft_s
float64 | number_total_tokens
int64 |
---|---|---|---|---|---|---|---|---|
80.709977 | 0.01101 | null | 9.366872 | 1,024 | 850 | 1.296926 | 1,874 |
|
85.792044 | 0.009911 | null | 7.529836 | 1,024 | 759 | 1.16885 | 1,783 |
|
32.07669 | 0.024916 | null | 1.65229 | 1,024 | 66 | 1.24543 | 1,090 |
|
53.063796 | 0.016905 | null | 12.060954 | 1,024 | 713 | 1.222925 | 1,737 |
|
74.019346 | 0.012365 | null | 7.06572 | 1,024 | 571 | 1.172058 | 1,595 |
|
76.539988 | 0.010764 | null | 3.958715 | 1,024 | 367 | 1.181337 | 1,391 |
|
59.497714 | 0.014155 | null | 11.445818 | 1,024 | 808 | 1.183751 | 1,832 |
|
77.100792 | 0.01087 | null | 4.280112 | 1,024 | 393 | 1.160499 | 1,417 |
|
69.68627 | 0.011976 | null | 6.859314 | 1,024 | 572 | 1.179717 | 1,596 |
|
63.723908 | 0.013348 | null | 5.947532 | 1,024 | 445 | 1.215837 | 1,469 |
|
72.890522 | 0.011173 | null | 5.460243 | 1,024 | 488 | 1.232071 | 1,512 |
|
85.407083 | 0.00978 | null | 4.460988 | 1,024 | 455 | 1.26758 | 1,479 |
|
89.814971 | 0.009159 | null | 4.642879 | 1,024 | 506 | 1.174789 | 1,530 |
|
53.886441 | 0.016375 | null | 3.544491 | 1,024 | 216 | 1.220313 | 1,240 |
|
70.811874 | 0.012504 | null | 8.473155 | 1,024 | 677 | 1.283001 | 1,701 |
|
65.432664 | 0.012743 | null | 11.492731 | 1,024 | 901 | 1.324202 | 1,925 |
|
37.786261 | 0.023529 | null | 20.457171 | 1,024 | 869 | 1.219398 | 1,893 |
|
30.015202 | 0.029718 | null | 23.854579 | 1,024 | 802 | 2.155391 | 1,826 |
|
16.055926 | 0.05334 | null | 10.83712 | 1,024 | 203 | 1.889337 | 1,227 |
|
16.528309 | 0.050152 | null | 16.456614 | 1,024 | 328 | 1.460065 | 1,352 |
|
92.596693 | 0.009434 | null | 8.423627 | 1,024 | 892 | 1.588464 | 1,916 |
|
62.948711 | 0.013339 | null | 7.879431 | 1,024 | 590 | 1.163141 | 1,614 |
|
37.374297 | 0.022191 | null | 4.735875 | 1,024 | 213 | 2.199076 | 1,237 |
|
53.875938 | 0.015837 | null | 10.301445 | 1,024 | 650 | 1.179561 | 1,674 |
|
103.315625 | 0.008574 | null | 6.688243 | 1,024 | 779 | 1.303697 | 1,803 |
|
68.865003 | 0.01272 | null | 5.184056 | 1,024 | 407 | 1.225452 | 1,431 |
|
75.572458 | 0.011215 | null | 3.149295 | 1,024 | 279 | 1.173232 | 1,303 |
|
85.355607 | 0.01032 | null | 10.637848 | 1,024 | 1,030 | 1.157395 | 2,054 |
|
99.610734 | 0.008874 | null | 6.876769 | 1,024 | 774 | 1.168326 | 1,798 |
|
69.199754 | 0.011711 | null | 5.043371 | 1,024 | 430 | 1.255332 | 1,454 |
|
59.626878 | 0.014051 | null | 9.391738 | 1,024 | 668 | 1.220992 | 1,692 |
|
58.009859 | 0.014669 | null | 9.291524 | 1,024 | 633 | 1.153024 | 1,657 |
|
100.220617 | 0.008426 | null | 6.126484 | 1,024 | 726 | 1.183953 | 1,750 |
|
65.022949 | 0.013012 | null | 12.903137 | 1,024 | 991 | 1.181941 | 2,015 |
|
55.902366 | 0.016034 | null | 7.155332 | 1,024 | 445 | 1.236226 | 1,469 |
|
64.519107 | 0.013969 | null | 4.463794 | 1,024 | 318 | 1.152611 | 1,342 |
|
65.747195 | 0.013013 | null | 8.07639 | 1,024 | 619 | 1.166912 | 1,643 |
|
98.187761 | 0.008479 | null | 6.222771 | 1,024 | 733 | 1.152345 | 1,757 |
|
67.901878 | 0.012692 | null | 3.357786 | 1,024 | 264 | 1.230695 | 1,288 |
|
65.649574 | 0.012607 | null | 5.620752 | 1,024 | 445 | 1.93973 | 1,469 |
|
60.156785 | 0.014265 | null | 12.533914 | 1,024 | 878 | 1.153848 | 1,902 |
|
61.867365 | 0.014002 | null | 5.915882 | 1,024 | 422 | 1.156762 | 1,446 |
|
62.90672 | 0.01359 | null | 11.954208 | 1,024 | 879 | 1.273736 | 1,903 |
|
77.796138 | 0.010843 | null | 3.804816 | 1,024 | 349 | 1.231282 | 1,373 |
|
69.927269 | 0.011941 | null | 4.047062 | 1,024 | 338 | 1.353932 | 1,362 |
|
55.536745 | 0.01492 | null | 5.095725 | 1,024 | 341 | 1.175492 | 1,365 |
|
66.107427 | 0.012792 | null | 14.385676 | 1,024 | 1,124 | 1.129887 | 2,148 |
|
71.554572 | 0.011574 | null | 4.891372 | 1,024 | 422 | 1.282573 | 1,446 |
|
52.935421 | 0.015506 | null | 3.513715 | 1,024 | 226 | 1.186333 | 1,250 |
|
69.544767 | 0.012529 | null | 9.404015 | 1,024 | 750 | 1.242136 | 1,774 |
|
74.763363 | 0.011162 | null | 4.775066 | 1,024 | 427 | 1.244265 | 1,451 |
|
36.920591 | 0.02496 | null | 2.952282 | 1,024 | 118 | 1.441923 | 1,142 |
|
57.297283 | 0.015504 | null | 4.816982 | 1,024 | 310 | 1.166936 | 1,334 |
|
60.2727 | 0.013196 | null | 2.754149 | 1,024 | 208 | 1.185945 | 1,232 |
|
47.745166 | 0.017544 | null | 5.78069 | 1,024 | 329 | 1.84757 | 1,353 |
|
65.366222 | 0.012924 | null | 3.059684 | 1,024 | 236 | 1.214574 | 1,260 |
|
110.382373 | 0.008095 | null | 7.084464 | 1,024 | 874 | 1.182321 | 1,898 |
|
null | null | null | null | null | null | null | null | null |
59.605989 | 0.013723 | null | 4.261317 | 957 | 310 | 1.54734 | 1,267 |
|
35.023098 | 0.026349 | null | 1.798813 | 1,090 | 68 | 1.601813 | 1,158 |
|
54.495916 | 0.015222 | null | 4.23885 | 1,145 | 278 | 1.25157 | 1,423 |
|
71.464665 | 0.012198 | null | 9.291305 | 1,131 | 761 | 1.282382 | 1,892 |
|
49.206911 | 0.017683 | null | 1.971268 | 947 | 111 | 1.248526 | 1,058 |
|
66.824149 | 0.012658 | null | 3.905774 | 944 | 308 | 1.207053 | 1,252 |
|
57.286718 | 0.014215 | null | 3.264282 | 1,116 | 229 | 1.182101 | 1,345 |
|
50.743723 | 0.016372 | null | 3.52753 | 944 | 215 | 1.174207 | 1,159 |
|
45.518452 | 0.018593 | null | 9.490657 | 1,100 | 510 | 1.188139 | 1,610 |
|
25.526443 | 0.034759 | null | 2.232979 | 1,073 | 64 | 1.490863 | 1,137 |
|
62.937897 | 0.013654 | null | 3.749728 | 874 | 274 | 1.318778 | 1,148 |
|
103.93937 | 0.008574 | null | 8.351022 | 1,160 | 973 | 1.300075 | 2,133 |
|
85.488814 | 0.009869 | null | 6.035877 | 961 | 611 | 1.362104 | 1,572 |
|
72.095836 | 0.011846 | null | 3.217939 | 1,038 | 271 | 1.236247 | 1,309 |
|
41.693718 | 0.021209 | null | 4.485088 | 850 | 211 | 1.381482 | 1,061 |
|
82.141598 | 0.010176 | null | 5.015729 | 850 | 492 | 1.178206 | 1,342 |
|
61.75684 | 0.013694 | null | 13.71508 | 1,217 | 1,001 | 1.391986 | 2,218 |
|
44.225399 | 0.019092 | null | 4.228339 | 903 | 221 | 1.549759 | 1,124 |
|
59.100547 | 0.014513 | null | 6.886569 | 1,150 | 473 | 2.033308 | 1,623 |
|
99.594705 | 0.008915 | null | 6.606777 | 938 | 740 | 1.240329 | 1,678 |
|
73.217555 | 0.011393 | null | 3.264244 | 1,083 | 286 | 1.281553 | 1,369 |
|
63.240005 | 0.013096 | null | 14.911447 | 896 | 1,138 | 1.325655 | 2,034 |
|
35.929462 | 0.024576 | null | 3.423374 | 879 | 139 | 1.208694 | 1,018 |
|
68.864612 | 0.012065 | null | 7.405836 | 994 | 613 | 1.392854 | 1,607 |
|
72.953275 | 0.011191 | null | 3.399436 | 978 | 303 | 1.193455 | 1,281 |
|
17.776435 | 0.052378 | null | 1.631373 | 1,002 | 31 | 1.350369 | 1,033 |
|
79.185617 | 0.011379 | null | 12.628556 | 1,026 | 1,109 | 1.180356 | 2,135 |
|
81.140707 | 0.010344 | null | 5.200842 | 1,150 | 502 | 1.551933 | 1,652 |
|
73.38689 | 0.010882 | null | 3.120448 | 990 | 286 | 1.155602 | 1,276 |
|
72.092687 | 0.011572 | null | 3.273564 | 982 | 282 | 1.200175 | 1,264 |
|
70.341317 | 0.012095 | null | 3.696263 | 998 | 305 | 1.239015 | 1,303 |
|
75.982194 | 0.011066 | null | 3.329727 | 1,082 | 300 | 1.161832 | 1,382 |
|
44.242763 | 0.018871 | null | 2.893129 | 1,242 | 153 | 1.341739 | 1,395 |
|
43.5751 | 0.018947 | null | 4.268493 | 1,069 | 225 | 2.580754 | 1,294 |
|
63.75876 | 0.013142 | null | 7.747955 | 923 | 588 | 1.184635 | 1,511 |
|
48.014866 | 0.017654 | null | 8.851425 | 946 | 501 | 1.289251 | 1,447 |
|
71.606931 | 0.011418 | null | 3.421456 | 930 | 298 | 1.164875 | 1,228 |
|
67.756211 | 0.012469 | null | 6.080623 | 953 | 487 | 1.285378 | 1,440 |
|
69.975344 | 0.012014 | null | 4.95889 | 906 | 412 | 1.218765 | 1,318 |
|
43.3116 | 0.020465 | null | 12.144553 | 1,051 | 593 | 1.287809 | 1,644 |
|
68.703792 | 0.012574 | null | 5.137999 | 1,041 | 408 | 1.286154 | 1,449 |
|
47.219235 | 0.018963 | null | 15.86218 | 1,162 | 836 | 1.229736 | 1,998 |
End of preview.