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README.md
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---
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language:
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- en
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license: mit
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tags:
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- robotics
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- libero
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- lerobot
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- depth
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- layout-conditioning
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size_categories:
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- 100K<n<1M
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---
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# LIBERO Layout: GT and DA3
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LIBERO spatial, object, goal and 10 suites: 1,695 successful replay episodes, 274,008 frames, 10 Hz. Derived from LIBERO demonstrations for layout-conditioned robot policy training.
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## Files
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- `data/` and `meta/`: LeRobot v2.1 trajectory dataset. RGB main and wrist images are 256x256; state float32[8]; actions float32[7]. Tasks provide language instructions.
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- `layouts/`: episode-indexed arrays. For each of pre, post_raw, post_retreat: RGB uint8[E,256,256,3], GT depth float16[E,256,256] metres, DA3 depth float16[E,256,256] metres.
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- `layouts/retreat_success.npy`: choose post_retreat when true, otherwise post_raw.
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- `layouts/meta.json`: episode provenance and camera information.
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- `norm_stats/norm_stats.json`: openpi normalization statistics, action horizon 10.
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GT and DA3 share the exact same trajectories. Select *_depth_gt.npy for simulator depth or *_depth_da3.npy for DA3METRIC-LARGE estimated metric depth (not aligned to GT). Layout row e matches trajectory episode_index e. Pre is the initial frame; post_raw is the state after the final action; post_retreat is captured after withdrawing the robot.
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A training sample combines current main/wrist RGB, state, a 10-step action chunk, language and pre/post layout images. Depth arrays store raw metres; image encoding happens at training time. Per-frame auxiliary depth supervision is not included.
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Source benchmark: https://github.com/Lifelong-Robot-Learning/LIBERO
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data/chunk-001/episode_001633.parquet
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data/chunk-001/episode_001635.parquet
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version https://git-lfs.github.com/spec/v1
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data/chunk-001/episode_001644.parquet
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version https://git-lfs.github.com/spec/v1
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data/chunk-001/episode_001654.parquet
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version https://git-lfs.github.com/spec/v1
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data/chunk-001/episode_001661.parquet
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version https://git-lfs.github.com/spec/v1
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data/chunk-001/episode_001691.parquet
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layouts/inspect_report.json
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{
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|
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|
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|
| 20 |
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|
| 22 |
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|
| 25 |
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"frames": 51762,
|
| 26 |
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|
| 27 |
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},
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| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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"kept_of_raw": "383/500",
|
| 32 |
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"frames": 102634,
|
| 33 |
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"post_retreat_success_rate": 0.8903
|
| 34 |
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}
|
| 35 |
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},
|
| 36 |
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"da3_vs_gt_tabletop(<1.5m)_pre_and_post_retreat": {
|
| 37 |
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|
| 38 |
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"absrel_mean": 0.1056,
|
| 39 |
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|
| 40 |
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|
| 41 |
+
1.0386,
|
| 42 |
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|
| 43 |
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],
|
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|
| 45 |
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|
| 46 |
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},
|
| 47 |
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"libero_object": {
|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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],
|
| 54 |
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|
| 55 |
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"num_frames": 200
|
| 56 |
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},
|
| 57 |
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"libero_goal": {
|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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],
|
| 64 |
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"absrel_after_median_scaling_mean": 0.0593,
|
| 65 |
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"num_frames": 200
|
| 66 |
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},
|
| 67 |
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"libero_10": {
|
| 68 |
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"absrel_mean": 0.1407,
|
| 69 |
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|
| 70 |
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|
| 71 |
+
0.9186,
|
| 72 |
+
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|
| 73 |
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],
|
| 74 |
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"absrel_after_median_scaling_mean": 0.068,
|
| 75 |
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"num_frames": 200
|
| 76 |
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}
|
| 77 |
+
}
|
| 78 |
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}
|
layouts/meta.json
ADDED
|
The diff for this file is too large to render.
See raw diff
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meta/episodes.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
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meta/episodes_stats.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
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|
meta/info.json
ADDED
|
@@ -0,0 +1,97 @@
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{
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|
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"video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
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|
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|
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|
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|
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+
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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"timestamp": {
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| 62 |
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|
| 63 |
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|
| 66 |
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|
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|
| 68 |
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|
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|
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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 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
+
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|
| 84 |
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|
| 85 |
+
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|
| 86 |
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|
| 87 |
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|
| 88 |
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},
|
| 89 |
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|
| 90 |
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"dtype": "int64",
|
| 91 |
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| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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}
|
| 96 |
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|
| 97 |
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}
|
meta/tasks.jsonl
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"task_index": 0, "task": "pick up the black bowl between the plate and the ramekin and place it on the plate"}
|
| 2 |
+
{"task_index": 1, "task": "pick up the black bowl next to the ramekin and place it on the plate"}
|
| 3 |
+
{"task_index": 2, "task": "pick up the black bowl from table center and place it on the plate"}
|
| 4 |
+
{"task_index": 3, "task": "pick up the black bowl on the cookie box and place it on the plate"}
|
| 5 |
+
{"task_index": 4, "task": "pick up the black bowl in the top drawer of the wooden cabinet and place it on the plate"}
|
| 6 |
+
{"task_index": 5, "task": "pick up the black bowl on the ramekin and place it on the plate"}
|
| 7 |
+
{"task_index": 6, "task": "pick up the black bowl next to the cookie box and place it on the plate"}
|
| 8 |
+
{"task_index": 7, "task": "pick up the black bowl on the stove and place it on the plate"}
|
| 9 |
+
{"task_index": 8, "task": "pick up the black bowl next to the plate and place it on the plate"}
|
| 10 |
+
{"task_index": 9, "task": "pick up the black bowl on the wooden cabinet and place it on the plate"}
|
| 11 |
+
{"task_index": 10, "task": "pick up the alphabet soup and place it in the basket"}
|
| 12 |
+
{"task_index": 11, "task": "pick up the cream cheese and place it in the basket"}
|
| 13 |
+
{"task_index": 12, "task": "pick up the salad dressing and place it in the basket"}
|
| 14 |
+
{"task_index": 13, "task": "pick up the bbq sauce and place it in the basket"}
|
| 15 |
+
{"task_index": 14, "task": "pick up the ketchup and place it in the basket"}
|
| 16 |
+
{"task_index": 15, "task": "pick up the tomato sauce and place it in the basket"}
|
| 17 |
+
{"task_index": 16, "task": "pick up the butter and place it in the basket"}
|
| 18 |
+
{"task_index": 17, "task": "pick up the milk and place it in the basket"}
|
| 19 |
+
{"task_index": 18, "task": "pick up the chocolate pudding and place it in the basket"}
|
| 20 |
+
{"task_index": 19, "task": "pick up the orange juice and place it in the basket"}
|
| 21 |
+
{"task_index": 20, "task": "open the middle drawer of the cabinet"}
|
| 22 |
+
{"task_index": 21, "task": "put the bowl on the stove"}
|
| 23 |
+
{"task_index": 22, "task": "put the wine bottle on top of the cabinet"}
|
| 24 |
+
{"task_index": 23, "task": "open the top drawer and put the bowl inside"}
|
| 25 |
+
{"task_index": 24, "task": "put the bowl on top of the cabinet"}
|
| 26 |
+
{"task_index": 25, "task": "push the plate to the front of the stove"}
|
| 27 |
+
{"task_index": 26, "task": "put the cream cheese in the bowl"}
|
| 28 |
+
{"task_index": 27, "task": "turn on the stove"}
|
| 29 |
+
{"task_index": 28, "task": "put the bowl on the plate"}
|
| 30 |
+
{"task_index": 29, "task": "put the wine bottle on the rack"}
|
| 31 |
+
{"task_index": 30, "task": "put both the alphabet soup and the tomato sauce in the basket"}
|
| 32 |
+
{"task_index": 31, "task": "put both the cream cheese box and the butter in the basket"}
|
| 33 |
+
{"task_index": 32, "task": "turn on the stove and put the moka pot on it"}
|
| 34 |
+
{"task_index": 33, "task": "put the black bowl in the bottom drawer of the cabinet and close it"}
|
| 35 |
+
{"task_index": 34, "task": "put the white mug on the left plate and put the yellow and white mug on the right plate"}
|
| 36 |
+
{"task_index": 35, "task": "pick up the book and place it in the back compartment of the caddy"}
|
| 37 |
+
{"task_index": 36, "task": "put the white mug on the plate and put the chocolate pudding to the right of the plate"}
|
| 38 |
+
{"task_index": 37, "task": "put both the alphabet soup and the cream cheese box in the basket"}
|
| 39 |
+
{"task_index": 38, "task": "put both moka pots on the stove"}
|
| 40 |
+
{"task_index": 39, "task": "put the yellow and white mug in the microwave and close it"}
|
norm_stats/norm_stats.json
ADDED
|
@@ -0,0 +1,84 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"norm_stats": {
|
| 3 |
+
"state": {
|
| 4 |
+
"mean": [
|
| 5 |
+
-0.04620719328522682,
|
| 6 |
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0.03458651527762413,
|
| 7 |
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0.7648032903671265,
|
| 8 |
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| 9 |
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-0.22300459444522858,
|
| 10 |
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|
| 11 |
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0.02690226212143898,
|
| 12 |
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-0.027182430028915405
|
| 13 |
+
],
|
| 14 |
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"std": [
|
| 15 |
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|
| 16 |
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0.15174393355846405,
|
| 17 |
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0.3774440884590149,
|
| 18 |
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0.3422820270061493,
|
| 19 |
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0.9028676748275757,
|
| 20 |
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0.32508304715156555,
|
| 21 |
+
0.01418792363256216,
|
| 22 |
+
0.014065256342291832
|
| 23 |
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],
|
| 24 |
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"q01": [
|
| 25 |
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-0.39950514942109583,
|
| 26 |
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-0.2698287453174591,
|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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-1.0884258956909179,
|
| 31 |
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|
| 32 |
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-0.04003942299168557
|
| 33 |
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],
|
| 34 |
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"q99": [
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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]
|
| 44 |
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},
|
| 45 |
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"actions": {
|
| 46 |
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"mean": [
|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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-0.005605567712336779,
|
| 53 |
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|
| 54 |
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],
|
| 55 |
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"std": [
|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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0.07846629619598389,
|
| 62 |
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|
| 63 |
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],
|
| 64 |
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"q01": [
|
| 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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-0.16395,
|
| 70 |
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-0.2241975057721138,
|
| 71 |
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-1.0
|
| 72 |
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],
|
| 73 |
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"q99": [
|
| 74 |
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|
| 75 |
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0.8703750000000001,
|
| 76 |
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0.937125,
|
| 77 |
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0.13064807161688807,
|
| 78 |
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0.19109999999999994,
|
| 79 |
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0.33742949963808055,
|
| 80 |
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0.9996
|
| 81 |
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]
|
| 82 |
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}
|
| 83 |
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}
|
| 84 |
+
}
|