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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 3 new columns ({'env_info', 'episodes', 'commit_info'}) and 2 missing columns ({'pose', 'id'}).
This happened while the json dataset builder was generating data using
hf://datasets/kylezzz/AffordAug-Demo/sim_exp/src_teapot/google_scan-teapot_0170/teapot_obj_0_traj_2/1024_crop_farthest_noise0_08131107/trajectory.pointcloud.pd_ee_pose.cpu.json (at revision 8597ddd57d0d7f9169b4690fac6ffd9922990d14)
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 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
env_info: struct<env_id: string, env_kwargs: struct<obs_mode: string, control_mode: string, render_mode: string, reward_mode: null, enable_shadow: bool, object_id: int64, sim_backend: string, shader_dir: string>, max_episode_steps: int64>
child 0, env_id: string
child 1, env_kwargs: struct<obs_mode: string, control_mode: string, render_mode: string, reward_mode: null, enable_shadow: bool, object_id: int64, sim_backend: string, shader_dir: string>
child 0, obs_mode: string
child 1, control_mode: string
child 2, render_mode: string
child 3, reward_mode: null
child 4, enable_shadow: bool
child 5, object_id: int64
child 6, sim_backend: string
child 7, shader_dir: string
child 2, max_episode_steps: int64
commit_info: null
episodes: list<item: struct<episode_id: int64, episode_seed: int64, control_mode: string, elapsed_steps: int64, reset_kwargs: struct<options: struct<grid: bool, noise: bool>, seed: int64>, obj_init_pose: list<item: double>, success: bool>>
child 0, item: struct<episode_id: int64, episode_seed: int64, control_mode: string, elapsed_steps: int64, reset_kwargs: struct<options: struct<grid: bool, noise: bool>, seed: int64>, obj_init_pose: list<item: double>, success: bool>
child 0, episode_id: int64
child 1, episode_seed: int64
child 2, control_mode: string
child 3, elapsed_steps: int64
child 4, reset_kwargs: struct<options: struct<grid: bool, noise: bool>, seed: int64>
child 0, options: struct<grid: bool, noise: bool>
child 0, grid: bool
child 1, noise: bool
child 1, seed: int64
child 5, obj_init_pose: list<item: double>
child 0, item: double
child 6, success: bool
to
{'id': Value('int64'), 'pose': List(Value('float64'))}
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 1456, 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 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 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 3 new columns ({'env_info', 'episodes', 'commit_info'}) and 2 missing columns ({'pose', 'id'}).
This happened while the json dataset builder was generating data using
hf://datasets/kylezzz/AffordAug-Demo/sim_exp/src_teapot/google_scan-teapot_0170/teapot_obj_0_traj_2/1024_crop_farthest_noise0_08131107/trajectory.pointcloud.pd_ee_pose.cpu.json (at revision 8597ddd57d0d7f9169b4690fac6ffd9922990d14)
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.
id int64 | pose list |
|---|---|
0 | [
-0.141834703613924,
0.051392868874434006,
0.067,
0.707000017166137,
0.707000017166137,
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1 | [
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2 | [
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0
] |
3 | [
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4 | [
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0.067,
0.707000017166137,
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6 | [
-0.137801235461622,
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0
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8 | [
-0.18777449086448703,
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0.067,
0.707000017166137,
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9 | [
-0.18748840575726403,
0.015552558743384001,
0.067,
0.707000017166137,
0.707000017166137,
0,
0
] |
10 | [
-0.005527696086091,
0.029664727953985004,
0.067,
0.707000017166137,
0.707000017166137,
0,
0
] |
11 | [
-0.07298394300884001,
0.089145720784501,
0.067,
0.707000017166137,
0.707000017166137,
0,
0
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12 | [
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0.06036554134555901,
0.067,
0.707000017166137,
0.707000017166137,
0,
0
] |
13 | [
-0.11159675867680101,
0.036188124406269,
0.067,
0.707000017166137,
0.707000017166137,
0,
0
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14 | [
-0.144514277744136,
0.09297896152977801,
0.067,
0.707000017166137,
0.707000017166137,
0,
0
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15 | [
-0.11222677280432101,
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0.067,
0.707000017166137,
0.707000017166137,
0,
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16 | [
-0.027265089944509,
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0.067,
0.707000017166137,
0.707000017166137,
0,
0
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17 | [
-0.19974712002157202,
0.026261874685177003,
0.067,
0.707000017166137,
0.707000017166137,
0,
0
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18 | [
-0.109570197812101,
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0.067,
0.707000017166137,
0.707000017166137,
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0
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19 | [
-0.18137672446281,
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0.067,
0.707000017166137,
0.707000017166137,
0,
0
] |
20 | [
-0.18966296486702902,
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0.067,
0.707000017166137,
0.707000017166137,
0,
0
] |
21 | [
-0.027186464782578003,
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0.067,
0.707000017166137,
0.707000017166137,
0,
0
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22 | [
-0.066761953998194,
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0.067,
0.707000017166137,
0.707000017166137,
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23 | [
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0.067,
0.707000017166137,
0.707000017166137,
0,
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24 | [
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0.067,
0.707000017166137,
0.707000017166137,
0,
0
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25 | [
-0.07373315302802201,
0.132344520977793,
0.067,
0.707000017166137,
0.707000017166137,
0,
0
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26 | [
-0.008457382960255,
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0.067,
0.707000017166137,
0.707000017166137,
0,
0
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27 | [
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0.067,
0.707000017166137,
0.707000017166137,
0,
0
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28 | [
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0.067,
0.707000017166137,
0.707000017166137,
0,
0
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29 | [
-0.19377151007755303,
0.050352076858247004,
0.067,
0.707000017166137,
0.707000017166137,
0,
0
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30 | [
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0.067,
0.707000017166137,
0.707000017166137,
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31 | [
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0.067,
0.707000017166137,
0.707000017166137,
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32 | [
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0.090211844152752,
0.067,
0.707000017166137,
0.707000017166137,
0,
0
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33 | [
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0.067,
0.707000017166137,
0.707000017166137,
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34 | [
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0.14881999224859402,
0.067,
0.707000017166137,
0.707000017166137,
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35 | [
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36 | [
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0.067,
0.707000017166137,
0.707000017166137,
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37 | [
-0.19365074584775901,
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0.067,
0.707000017166137,
0.707000017166137,
0,
0
] |
38 | [
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0.125119453666486,
0.067,
0.707000017166137,
0.707000017166137,
0,
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39 | [
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0.067,
0.707000017166137,
0.707000017166137,
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0
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40 | [
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0.12915245393261401,
0.067,
0.707000017166137,
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0,
0
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41 | [
-0.14705401567665102,
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0.067,
0.707000017166137,
0.707000017166137,
0,
0
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42 | [
-0.14205282114331802,
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0.067,
0.707000017166137,
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0
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43 | [
-0.137419132380459,
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0.067,
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0,
0
] |
44 | [
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0,
0
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45 | [
-0.167851228119755,
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0.067,
0.707000017166137,
0.707000017166137,
0,
0
] |
46 | [
-0.152370063214083,
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0
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47 | [
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0.067,
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0
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48 | [
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49 | [
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0
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50 | [
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0.067,
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0
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51 | [
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0.067,
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0,
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52 | [
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0.067,
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53 | [
-0.09080038723579101,
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0
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54 | [
-0.026240709261791003,
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0.067,
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0
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55 | [
-0.103025486219063,
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0.067,
0.707000017166137,
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56 | [
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0.067,
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0,
0
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57 | [
-0.097141609991043,
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0.067,
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0
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58 | [
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0.067,
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0
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59 | [
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0.067,
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0.707000017166137,
0,
0
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60 | [
-0.023930863232850003,
-0.030221659558508,
0.067,
0.707000017166137,
0.707000017166137,
0,
0
] |
61 | [
-0.005421131322129001,
0.130361692909506,
0.067,
0.707000017166137,
0.707000017166137,
0,
0
] |
62 | [
-0.187494022036324,
0.094562561289721,
0.067,
0.707000017166137,
0.707000017166137,
0,
0
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63 | [
-0.11065629126955101,
0.056086348147390004,
0.067,
0.707000017166137,
0.707000017166137,
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0
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64 | [
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0.13673973772449002,
0.067,
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0
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65 | [
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66 | [
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67 | [
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68 | [
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69 | [
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70 | [
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71 | [
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72 | [
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73 | [
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74 | [
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75 | [
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76 | [
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77 | [
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] |
78 | [
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79 | [
-0.161327409727775,
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0.067,
0.707000017166137,
0.707000017166137,
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0
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80 | [
-0.115133541020089,
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0.067,
0.707000017166137,
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81 | [
-0.070304680406525,
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0.067,
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82 | [
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83 | [
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0.707000017166137,
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0
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84 | [
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0.067,
0.707000017166137,
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0,
0
] |
85 | [
-0.11351168365099601,
0.060009880501540006,
0.067,
0.707000017166137,
0.707000017166137,
0,
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] |
86 | [
-0.103573406177818,
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0.067,
0.707000017166137,
0.707000017166137,
0,
0
] |
87 | [
-0.035827072743377,
0.012510338658566001,
0.067,
0.707000017166137,
0.707000017166137,
0,
0
] |
88 | [
-0.140721417355117,
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0.067,
0.707000017166137,
0.707000017166137,
0,
0
] |
89 | [
-0.053664571440227,
-0.02769323158544,
0.067,
0.707000017166137,
0.707000017166137,
0,
0
] |
90 | [
-0.19156160559207502,
0.147679677360453,
0.067,
0.707000017166137,
0.707000017166137,
0,
0
] |
91 | [
-0.103791984187918,
0.026804018975003,
0.067,
0.707000017166137,
0.707000017166137,
0,
0
] |
92 | [
-0.11664970664479402,
0.08743972699275901,
0.067,
0.707000017166137,
0.707000017166137,
0,
0
] |
93 | [
-0.043484607120248,
0.017311880660556,
0.067,
0.707000017166137,
0.707000017166137,
0,
0
] |
94 | [
-0.12705483556726502,
0.08564641760479601,
0.067,
0.707000017166137,
0.707000017166137,
0,
0
] |
95 | [
-0.05105295303314301,
-0.023046654949649,
0.067,
0.707000017166137,
0.707000017166137,
0,
0
] |
96 | [
-0.132204555226367,
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98 | [
-0.008285831078336001,
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