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Link dataset (stationary-block-transfer-lerobot-v3 @ v3.0), set env/study tags, add RLE-33/34 links

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  1. README.md +10 -7
README.md CHANGED
@@ -3,6 +3,8 @@ library_name: lerobot
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  pipeline_tag: robotics
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  license: apache-2.0
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  base_model: lerobot/pi05_base
 
 
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  tags:
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  - lerobot
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  - pi05
@@ -15,8 +17,8 @@ tags:
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  - task:block-transfer
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  - framework:lerobot-latest
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  - robot:stationary
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- # - env:local-5090 # TODO: set local-5090 | cloud-runpod
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- # - study:RLE-NN # TODO: set the RLE Study Epic number
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  ---
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  # pi05-block-transfer-lerobot
@@ -113,13 +115,12 @@ so no special flag is needed at inference.
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  ## Inputs (reproducibility manifest)
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- - **Dataset:** `TrossenRoboticsCommunity/<TODO>` @ `<revision>` — TODO (candidate:
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- stationary block-transfer / handover-cube lerobot v3).
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  - **Base model:** `lerobot/pi05_base`.
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  - **Framework:** lerobot-latest (`--policy.type=pi05`).
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  - **Batch size:** TODO.
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  - **Total steps:** TODO (checkpoints exist at 40k/60k/80k; this record is **40k**).
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- - **Training env / hardware:** TODO (local-5090 | cloud-runpod).
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  ## Outputs
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@@ -162,6 +163,8 @@ The task prompt must match training (π₀.₅ is language-conditioned).
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  ## Links
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- - **RLE Study (Epic):** TODO`RLE-NN`
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- - **RLE Run (Task):** TODO `RLE-NN`
 
 
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  - **Base model:** https://huggingface.co/lerobot/pi05_base
 
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  pipeline_tag: robotics
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  license: apache-2.0
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  base_model: lerobot/pi05_base
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+ datasets:
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+ - TrossenRoboticsCommunity/stationary-block-transfer-lerobot-v3
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  tags:
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  - lerobot
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  - pi05
 
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  - task:block-transfer
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  - framework:lerobot-latest
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  - robot:stationary
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+ - env:local-5090
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+ - study:RLE-2
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  ---
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  # pi05-block-transfer-lerobot
 
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  ## Inputs (reproducibility manifest)
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+ - **Dataset:** [`TrossenRoboticsCommunity/stationary-block-transfer-lerobot-v3`](https://huggingface.co/datasets/TrossenRoboticsCommunity/stationary-block-transfer-lerobot-v3) @ `v3.0`.
 
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  - **Base model:** `lerobot/pi05_base`.
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  - **Framework:** lerobot-latest (`--policy.type=pi05`).
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  - **Batch size:** TODO.
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  - **Total steps:** TODO (checkpoints exist at 40k/60k/80k; this record is **40k**).
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+ - **Training env / hardware:** local-5090 (run on a local RTX 5090 using the Trossen cloud pipeline).
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  ## Outputs
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  ## Links
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+ - **RLE Study (Epic):** [RLE-2](https://trossenrobotics.atlassian.net/browse/RLE-2)Cloud pi0.5 Pipeline Validation
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+ - **RLE Training Run (Task):** RLE-33 (TODO: confirm after creation)
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+ - **RLE Evaluation Run (Task):** RLE-34 (TODO: confirm after creation)
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+ - **Dataset:** https://huggingface.co/datasets/TrossenRoboticsCommunity/stationary-block-transfer-lerobot-v3
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  - **Base model:** https://huggingface.co/lerobot/pi05_base