Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 ({'83368.71200562 34684.48883057 108.96859741 196 196 196 1.000000'}) and 1 missing columns ({'83371.57989502 34690.17132568 108.85359955 162 162 162 2.000000'}). This happened while the csv dataset builder was generating data using zip://infra_3DAL/real_arch_src/Sarch_131123/pointcloud/3ddisp/sourthen_arch.asc::/tmp/hf-datasets-cache/medium/datasets/89515488897253-config-parquet-and-info-jing222-infra_3DAL-87f35ec2/hub/datasets--jing222--infra_3DAL/snapshots/69b98643172c0a97df2d13844160335f25a7268d/infra_3DALv2.zip 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 83368.71200562 34684.48883057 108.96859741 196 196 196 1.000000: string -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 489 to {'83371.57989502 34690.17132568 108.85359955 162 162 162 2.000000': Value(dtype='string', 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 1420, 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 1052, 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 ({'83368.71200562 34684.48883057 108.96859741 196 196 196 1.000000'}) and 1 missing columns ({'83371.57989502 34690.17132568 108.85359955 162 162 162 2.000000'}). This happened while the csv dataset builder was generating data using zip://infra_3DAL/real_arch_src/Sarch_131123/pointcloud/3ddisp/sourthen_arch.asc::/tmp/hf-datasets-cache/medium/datasets/89515488897253-config-parquet-and-info-jing222-infra_3DAL-87f35ec2/hub/datasets--jing222--infra_3DAL/snapshots/69b98643172c0a97df2d13844160335f25a7268d/infra_3DALv2.zip 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.
83371.57989502 34690.17132568 108.85359955 162 162 162 2.000000
string |
---|
83371.56790161 34690.16577148 108.84929657 162 162 162 2.000000 |
83371.57049561 34690.16961670 108.85040283 160 160 160 2.000000 |
83371.57351685 34690.17242432 108.85050201 162 162 162 2.000000 |
83371.57629395 34690.17572021 108.85109711 161 161 161 2.000000 |
83371.57891846 34690.17907715 108.85189819 163 163 163 2.000000 |
83371.58200073 34690.18188477 108.85199738 162 162 162 2.000000 |
83371.58428955 34690.18579102 108.85320282 163 163 163 2.000000 |
83371.58718872 34690.18859863 108.85350037 163 163 163 2.000000 |
83371.58941650 34690.19329834 108.85530090 163 163 163 2.000000 |
83371.59210205 34690.19622803 108.85569763 165 165 165 2.000000 |
83371.59570313 34690.19860840 108.85530090 162 162 162 2.000000 |
83371.59851074 34690.20208740 108.85610199 162 162 162 2.000000 |
83371.60140991 34690.20458984 108.85620117 160 160 160 2.000000 |
83371.55920410 34690.16308594 108.84510040 161 161 161 2.000000 |
83371.56179810 34690.16668701 108.84600067 163 163 163 2.000000 |
83371.56478882 34690.16949463 108.84619904 163 163 163 2.000000 |
83371.56738281 34690.17327881 108.84719849 160 160 160 2.000000 |
83371.57009888 34690.17651367 108.84770203 162 162 162 2.000000 |
83371.57269287 34690.18011475 108.84860229 165 165 165 2.000000 |
83371.57519531 34690.18359375 108.84950256 164 164 164 2.000000 |
83371.57830811 34690.18640137 108.84970093 164 164 164 2.000000 |
83371.58029175 34690.19061279 108.85119629 166 166 166 2.000000 |
83371.58300781 34690.19378662 108.85179901 163 163 163 2.000000 |
83371.58651733 34690.19689941 108.85199738 163 163 163 2.000000 |
83371.58950806 34690.19940186 108.85199738 162 162 162 2.000000 |
83371.59219360 34690.20288086 108.85269928 163 163 163 2.000000 |
83371.59530640 34690.20611572 108.85320282 162 162 162 2.000000 |
83371.59759521 34690.20928955 108.85399628 161 161 161 2.000000 |
83371.60140991 34690.21228027 108.85389709 162 162 162 2.000000 |
83371.60321045 34690.21649170 108.85559845 161 161 161 2.000000 |
83371.60620117 34690.21929932 108.85590363 163 163 163 2.000000 |
83371.61019897 34690.22149658 108.85520172 160 160 160 2.000000 |
83371.61209106 34690.22558594 108.85679626 164 164 164 2.000000 |
83371.61538696 34690.22869873 108.85720062 162 162 162 2.000000 |
83371.61801147 34690.23199463 108.85790253 159 159 159 2.000000 |
83371.62091064 34690.23559570 108.85859680 156 156 156 2.000000 |
83371.54998779 34690.16082764 108.84140015 163 163 163 2.000000 |
83371.55319214 34690.16351318 108.84149933 163 163 163 2.000000 |
83371.55630493 34690.16662598 108.84169769 158 158 158 2.000000 |
83371.55868530 34690.17028809 108.84279633 162 162 162 2.000000 |
83371.56170654 34690.17327881 108.84310150 163 163 163 2.000000 |
83371.56420898 34690.17718506 108.84420013 160 160 160 2.000000 |
83371.56689453 34690.18041992 108.84470367 163 163 163 2.000000 |
83371.56921387 34690.18432617 108.84590149 165 165 165 2.000000 |
83371.57150269 34690.18817139 108.84719849 163 163 163 2.000000 |
83371.57440186 34690.19122314 108.84750366 165 165 165 2.000000 |
83371.57730103 34690.19439697 108.84799957 164 164 164 2.000000 |
83371.57980347 34690.19769287 108.84880066 162 162 162 2.000000 |
83371.58370972 34690.20037842 108.84850311 159 159 159 2.000000 |
83371.58660889 34690.20300293 108.84860229 161 161 161 2.000000 |
83371.58941650 34690.20642090 108.84929657 163 163 163 2.000000 |
83371.59219360 34690.21002197 108.85009766 163 163 163 2.000000 |
83371.59509277 34690.21240234 108.85009766 162 162 162 2.000000 |
83371.59820557 34690.21612549 108.85089874 161 161 161 2.000000 |
83371.60049438 34690.21990967 108.85199738 161 161 161 2.000000 |
83371.60290527 34690.22338867 108.85299683 162 162 162 2.000000 |
83371.60668945 34690.22589111 108.85269928 155 155 155 2.000000 |
83371.60900879 34690.22949219 108.85379791 159 159 159 2.000000 |
83371.61199951 34690.23303223 108.85440063 162 162 162 2.000000 |
83371.61499023 34690.23577881 108.85459900 159 159 159 2.000000 |
83371.61810303 34690.23919678 108.85530090 160 160 160 2.000000 |
83371.62100220 34690.24249268 108.85590363 159 159 159 2.000000 |
83371.62368774 34690.24578857 108.85659790 162 162 162 2.000000 |
83371.62670898 34690.24938965 108.85739899 155 155 155 2.000000 |
83371.62948608 34690.25219727 108.85769653 155 155 155 2.000000 |
83371.63269043 34690.25592041 108.85849762 158 158 158 2.000000 |
83371.63589478 34690.25891113 108.85880280 159 159 159 2.000000 |
83371.53781128 34690.15509033 108.83730316 163 163 163 2.000000 |
83371.54119873 34690.15789795 108.83719635 160 160 160 2.000000 |
83371.54428101 34690.16082764 108.83740234 161 161 161 2.000000 |
83371.54690552 34690.16436768 108.83820343 162 162 162 2.000000 |
83371.54940796 34690.16802979 108.83910370 163 163 163 2.000000 |
83371.55270386 34690.17089844 108.83920288 158 158 158 2.000000 |
83371.55578613 34690.17388916 108.83950043 161 161 161 2.000000 |
83371.55859375 34690.17700195 108.83989716 162 162 162 2.000000 |
83371.56060791 34690.18157959 108.84169769 162 162 162 2.000000 |
83371.56298828 34690.18511963 108.84249878 166 166 166 2.000000 |
83371.56610107 34690.18798828 108.84279633 169 169 169 2.000000 |
83371.56820679 34690.19219971 108.84429932 167 167 167 2.000000 |
83371.57061768 34690.19580078 108.84529877 166 166 166 2.000000 |
83371.57391357 34690.19848633 108.84529877 166 166 166 2.000000 |
83371.57730103 34690.20068359 108.84490204 167 167 167 2.000000 |
83371.58059692 34690.20422363 108.84539795 159 159 159 2.000000 |
83371.58288574 34690.20758057 108.84619904 164 164 164 2.000000 |
83371.58621216 34690.21026611 108.84629822 161 161 161 2.000000 |
83371.58868408 34690.21441650 108.84750366 161 161 161 2.000000 |
83371.59179688 34690.21649170 108.84729767 162 162 162 2.000000 |
83371.59490967 34690.22027588 108.84809875 161 161 161 2.000000 |
83371.59771729 34690.22338867 108.84860229 165 165 165 2.000000 |
83371.59988403 34690.22711182 108.84980011 163 163 163 2.000000 |
83371.60311890 34690.23040771 108.85019684 157 157 157 2.000000 |
83371.60568237 34690.23358154 108.85089874 158 158 158 2.000000 |
83371.60931396 34690.23638916 108.85079956 159 159 159 2.000000 |
83371.61230469 34690.23919678 108.85109711 160 160 160 2.000000 |
83371.61520386 34690.24279785 108.85189819 161 161 161 2.000000 |
83371.61810303 34690.24609375 108.85250092 160 160 160 2.000000 |
83371.62060547 34690.24969482 108.85350037 160 160 160 2.000000 |
83371.62319946 34690.25396729 108.85489655 157 157 157 2.000000 |
83371.62600708 34690.25677490 108.85530090 155 155 155 2.000000 |
83371.62921143 34690.26031494 108.85590363 156 156 156 2.000000 |
End of preview.
README.md exists but content is empty.
- Downloads last month
- 14