Upload frame-aligned split-subtask example
Browse files- .gitattributes +0 -58
- README.md +53 -0
- data/chunk-000/episode_000000.parquet +3 -0
- data/chunk-000/episode_000001.parquet +3 -0
- data/chunk-000/episode_000002.parquet +3 -0
- data/chunk-000/episode_000003.parquet +3 -0
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- meta/episodes_stats.jsonl +4 -0
- meta/info.json +652 -0
- meta/tasks.jsonl +2 -0
- split_manifest.json +70 -0
- videos/chunk-000/observation.images.video_left/episode_000000.mp4 +3 -0
- videos/chunk-000/observation.images.video_left/episode_000001.mp4 +3 -0
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- videos/chunk-000/observation.images.video_overhead/episode_000000.mp4 +3 -0
- videos/chunk-000/observation.images.video_overhead/episode_000001.mp4 +3 -0
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- videos/chunk-000/observation.images.video_overhead/episode_000003.mp4 +3 -0
- videos/chunk-000/observation.images.video_right/episode_000000.mp4 +3 -0
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- videos/chunk-000/observation.images.video_right/episode_000002.mp4 +3 -0
- videos/chunk-000/observation.images.video_right/episode_000003.mp4 +3 -0
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README.md
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---
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license: apache-2.0
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task_categories:
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- robotics
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tags:
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- lerobot
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- real
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- arx
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- pi05
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- visual-goal-conditioning
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- subtask-episodes
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configs:
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- config_name: default
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data_files: data/*/*.parquet
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---
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# Route Red-Yellow Vector Split-Subtask Example
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This is a LeRobot v2.1 example derived from
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[ajaysri/route_red_yellow_vector_subtasks_pi05](https://huggingface.co/datasets/ajaysri/route_red_yellow_vector_subtasks_pi05).
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Source episode(s) 2 are split into one output episode per maximal
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contiguous run of `metadata.route.active_subgoal`.
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The example has 4 output episodes and 948 frames.
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All three videos are cut on the same frame boundaries as the Parquet data and
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re-encoded as H.264 at 100 Hz.
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## Why the split count is inferred
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The complete 212-episode source dataset contains suffixes of the four-phase
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route task:
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- four segments: 52 episodes
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- three segments: 51 episodes
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- two segments: 53 episodes
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- one segment: 56 episodes
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No repeated or backward transitions were found. The builder therefore detects
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boundaries from the frame labels instead of assuming four subtasks.
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## Provenance
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Every frame includes:
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- `metadata.split.source_episode_index`
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- `metadata.split.source_frame_index`
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- `metadata.split.source_start_frame`
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- `metadata.split.source_end_frame_exclusive`
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- `metadata.split.segment_ordinal`
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The original visual conditioning, prompts, actions, states, and route metadata
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are retained. `frame_index`, `episode_index`, `index`, and `timestamp` are
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reindexed for the split dataset.
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data/chunk-000/episode_000000.parquet
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version https://git-lfs.github.com/spec/v1
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size 78193
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data/chunk-000/episode_000001.parquet
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version https://git-lfs.github.com/spec/v1
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data/chunk-000/episode_000002.parquet
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data/chunk-000/episode_000003.parquet
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version https://git-lfs.github.com/spec/v1
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size 80985
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meta/episodes.jsonl
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{"episode_index":0,"tasks":["place the connector on the selected vector"],"length":259}
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{"episode_index":1,"tasks":["route the cable through the selected connector"],"length":218}
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{"episode_index":2,"tasks":["place the connector on the selected vector"],"length":221}
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{"episode_index":3,"tasks":["route the cable through the selected connector"],"length":250}
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meta/info.json
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|
| 1 |
+
{
|
| 2 |
+
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|
| 3 |
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|
| 4 |
+
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
+
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|
| 12 |
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|
| 13 |
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|
| 14 |
+
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|
| 15 |
+
"video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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3
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| 23 |
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| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 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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| 46 |
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|
| 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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|
| 53 |
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|
| 54 |
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| 55 |
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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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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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| 66 |
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|
| 67 |
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|
| 68 |
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3
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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 |
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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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14
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| 90 |
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|
| 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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|
| 98 |
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14
|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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]
|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
+
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|
| 107 |
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14
|
| 108 |
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|
| 109 |
+
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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1
|
| 117 |
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|
| 118 |
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| 119 |
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|
| 120 |
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|
| 121 |
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| 122 |
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| 123 |
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|
| 124 |
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|
| 125 |
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| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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| 130 |
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|
| 131 |
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| 132 |
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|
| 133 |
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| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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1
|
| 138 |
+
],
|
| 139 |
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|
| 140 |
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|
| 141 |
+
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|
| 142 |
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|
| 143 |
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|
| 144 |
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1
|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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| 150 |
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|
| 151 |
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1
|
| 152 |
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],
|
| 153 |
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|
| 154 |
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| 155 |
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|
| 156 |
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| 157 |
+
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| 158 |
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1
|
| 159 |
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],
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| 160 |
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|
| 161 |
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},
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| 162 |
+
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|
| 163 |
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|
| 164 |
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| 165 |
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1
|
| 166 |
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],
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| 167 |
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|
| 168 |
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| 169 |
+
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|
| 170 |
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| 171 |
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| 172 |
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1
|
| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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| 178 |
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| 179 |
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| 180 |
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| 181 |
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| 182 |
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| 183 |
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|
| 184 |
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| 185 |
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| 186 |
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| 187 |
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| 188 |
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| 189 |
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| 190 |
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|
| 191 |
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| 192 |
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| 193 |
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| 194 |
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| 195 |
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| 196 |
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| 197 |
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| 198 |
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| 199 |
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| 200 |
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1
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| 201 |
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| 202 |
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| 203 |
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| 204 |
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| 205 |
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| 206 |
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| 207 |
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1
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| 208 |
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| 209 |
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| 210 |
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| 211 |
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| 212 |
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1
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| 215 |
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| 216 |
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| 217 |
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| 218 |
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| 226 |
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| 227 |
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| 228 |
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| 229 |
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| 230 |
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| 231 |
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| 232 |
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| 234 |
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1
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| 236 |
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| 237 |
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| 238 |
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| 239 |
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1
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|
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|
| 651 |
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|
| 652 |
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|
meta/tasks.jsonl
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"task_index":0,"task":"place the connector on the selected vector"}
|
| 2 |
+
{"task_index":1,"task":"route the cable through the selected connector"}
|
split_manifest.json
ADDED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"source_repo_id": "ajaysri/route_red_yellow_vector_subtasks_pi05",
|
| 4 |
+
"output_repo_id": "ajaysri/route_red_yellow_vector_split_subtasks_example",
|
| 5 |
+
"split_rule": "maximal contiguous run of metadata.route.active_subgoal",
|
| 6 |
+
"source_dataset_audit": {
|
| 7 |
+
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|
| 8 |
+
"segment_count_distribution": {
|
| 9 |
+
"1": 56,
|
| 10 |
+
"2": 53,
|
| 11 |
+
"3": 51,
|
| 12 |
+
"4": 52
|
| 13 |
+
},
|
| 14 |
+
"phase_sequence_distribution": {
|
| 15 |
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"3": 56,
|
| 16 |
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"2,3": 53,
|
| 17 |
+
"1,2,3": 51,
|
| 18 |
+
"0,1,2,3": 52
|
| 19 |
+
},
|
| 20 |
+
"nonmonotonic_or_repeated_transition_episodes": []
|
| 21 |
+
},
|
| 22 |
+
"selected_source_episodes": [
|
| 23 |
+
2
|
| 24 |
+
],
|
| 25 |
+
"output_episodes": [
|
| 26 |
+
{
|
| 27 |
+
"output_episode_index": 0,
|
| 28 |
+
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|
| 29 |
+
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|
| 30 |
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"active_subgoal": 0,
|
| 31 |
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|
| 32 |
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"source_end_frame_exclusive": 259,
|
| 33 |
+
"length": 259,
|
| 34 |
+
"prompt": "place the connector on the selected vector"
|
| 35 |
+
},
|
| 36 |
+
{
|
| 37 |
+
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|
| 38 |
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"source_episode_index": 2,
|
| 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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"prompt": "route the cable through the selected connector"
|
| 45 |
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},
|
| 46 |
+
{
|
| 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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|
| 53 |
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|
| 54 |
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"prompt": "place the connector on the selected vector"
|
| 55 |
+
},
|
| 56 |
+
{
|
| 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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|
| 62 |
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|
| 63 |
+
"length": 250,
|
| 64 |
+
"prompt": "route the cable through the selected connector"
|
| 65 |
+
}
|
| 66 |
+
],
|
| 67 |
+
"total_output_episodes": 4,
|
| 68 |
+
"total_output_frames": 948,
|
| 69 |
+
"validation": "passed"
|
| 70 |
+
}
|
videos/chunk-000/observation.images.video_left/episode_000000.mp4
ADDED
|
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