Add HumanoidArena sessions without expert action demonstrations; link arXiv and add citation
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by hrh - opened
README.md
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---
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license: cc-by-4.0
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pretty_name: RAX robot session logs (Franka, RB-Y1)
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tags: [robotics, llm-agent, claude-code, franka, rainbow-rby1, manipulation, mobile-manipulation]
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---
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# RAX robot session logs
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- the agent's full transcripts, including subagents and tool results;
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- every robot tool call with its arguments, result and error;
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- the robot state log and camera recordings;
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- **RB-Y1** (2026-10-08 to 2026-10-10): 7 sessions on a Rainbow Robotics RB-Y1 wheeled bimanual manipulator with
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a head RGB-D camera: move a box and a bucket onto a cabinet, tuck an office chair, stack cups, and a compositional
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task that chains them.
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## Layout
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@@ -38,9 +44,11 @@ rby1/extras/skill-library-commit-ids.tsv old -> new commit ids of the rebuilt
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rby1/extras/robot-models.zip the vendor URDFs and meshes the sessions used
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rby1/extras/characterization.zip hardware test results from bring-up
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rby1/extras/phone-videos/rby1-{1,2,3}.mp4 phone videos filming the compositional session (no audio)
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```
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Inside a session tar:
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| Path | Contents |
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|---|---|
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- `20261009T002555Z_controller_check_fae961`: operator controller characterization, no agent
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- `20261009T232457Z_stack_bowl_and_place_basket_bad3d4`: 1-minute start, superseded by the compositional session
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## Privacy and redactions
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- **Faces are blurred.** Faces were detected with YuNet at full resolution in:
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colour of the recording.
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- **Paths.** Lab paths and user names are rewritten. The robot runtime is `/opt/rax/runtime`, the harness checkout
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`/opt/rax`, the host home `/home/robot`. Other projects that appear in the agent's sandbox deny-list are shown as
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`other-project-N` / `other-data-N`.
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- **Accounts.** Agent account emails are redacted. The agent CLI's local state is not included: account file,
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backups, plugin marketplace copies, caches, shell snapshots, job state, task lists and file-edit backups. No API
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keys or tokens were present.
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- To replay a transcript with Claude Code, place the session at `/opt/rax/runtime/sessions/<session>` and run
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`CLAUDE_CONFIG_DIR=<session>/claude-home claude --resume` in `<session>/agent-workspace`. The robot tools need
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the original robot and harness.
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---
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license: cc-by-4.0
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pretty_name: RAX robot session logs (Franka, RB-Y1, HumanoidArena)
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tags: [robotics, llm-agent, claude-code, franka, rainbow-rby1, manipulation, mobile-manipulation, humanoid, simulation]
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---
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# RAX robot session logs
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- arXiv: https://arxiv.org/abs/2610.22496
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- Project page: https://robot-agent-exploration.com/
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- Code: https://github.com/robot-agent-exploration/rax
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- Skill library: https://github.com/robot-agent-exploration/skills-lib
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Complete logs of Claude Code agents learning manipulation tasks on two real robots and a simulated humanoid through
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RAX. Each session holds:
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- the agent's full transcripts, including subagents and tool results;
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- every robot tool call with its arguments, result and error;
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- the robot state log and camera recordings;
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- **RB-Y1** (2026-10-08 to 2026-10-10): 7 sessions on a Rainbow Robotics RB-Y1 wheeled bimanual manipulator with
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a head RGB-D camera: move a box and a bucket onto a cabinet, tuck an office chair, stack cups, and a compositional
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task that chains them.
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- **HumanoidArena** (2026-10-12 to 2026-10-13): 3 sessions on a simulated Unitree G1 humanoid in HumanoidArena,
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without expert action demonstrations: score a goal, pick and place a box, and move a hammer to a basket on another
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desk. Their layout is described in [`humanoid-arena/README.md`](humanoid-arena/README.md).
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## Layout
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rby1/extras/robot-models.zip the vendor URDFs and meshes the sessions used
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rby1/extras/characterization.zip hardware test results from bring-up
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rby1/extras/phone-videos/rby1-{1,2,3}.mp4 phone videos filming the compositional session (no audio)
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humanoid-arena/README.md layout of the HumanoidArena sessions
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humanoid-arena/<task>/<task>.tar one HumanoidArena session (football, pickplace_box, doubledesk)
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```
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Inside a Franka or RB-Y1 session tar (the HumanoidArena tars are described in `humanoid-arena/README.md`):
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| Path | Contents |
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|---|---|
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- `20261009T002555Z_controller_check_fae961`: operator controller characterization, no agent
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- `20261009T232457Z_stack_bowl_and_place_basket_bad3d4`: 1-minute start, superseded by the compositional session
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### HumanoidArena
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| Session | Task | Exploration budget | Formal success |
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|---|---|---|---|
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| `humanoid-arena/football` | Football: score a goal | 64 | 59 / 60 |
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| `humanoid-arena/pickplace_box` | P&PBox: pick and place a box | 128 | 42 / 60 |
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| `humanoid-arena/doubledesk` | DoubleDesk: move a hammer to a basket on the other desk | 256 | 28 / 60 |
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## Privacy and redactions
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- **Faces are blurred.** Faces were detected with YuNet at full resolution in:
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colour of the recording.
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- **Paths.** Lab paths and user names are rewritten. The robot runtime is `/opt/rax/runtime`, the harness checkout
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`/opt/rax`, the host home `/home/robot`. Other projects that appear in the agent's sandbox deny-list are shown as
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`other-project-N` / `other-data-N`. In the HumanoidArena transcripts, host storage paths and user and group
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ids are shown as `<host-storage>`, `<uid>` and `<gid>`.
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- **Accounts.** Agent account emails are redacted. The agent CLI's local state is not included: account file,
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backups, plugin marketplace copies, caches, shell snapshots, job state, task lists and file-edit backups. No API
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keys or tokens were present.
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- To replay a transcript with Claude Code, place the session at `/opt/rax/runtime/sessions/<session>` and run
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`CLAUDE_CONFIG_DIR=<session>/claude-home claude --resume` in `<session>/agent-workspace`. The robot tools need
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the original robot and harness.
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## Citation
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```bibtex
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@article{huang2026scaling,
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title={Scaling Online Exploration for Robot Agents},
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author={Huang, Runhan and Zhang, Xiangcheng and Chen, Haoyu and Li, Yitong and Wang, Yen-Jen and Lyu, Bohan and Ye, Haotian and Hong, Chuye and Wang, Yixuan and Su, Chloe and others},
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journal={arXiv preprint arXiv:2610.22496},
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year={2026}
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}
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```
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humanoid-arena/README.md
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# RAX on HumanoidArena without expert action demonstrations
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Run records of RAX on three HumanoidArena tasks without expert action demonstrations.
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| Directory | Task | Exploration budget | Formal success |
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| `football/` | Football | 64 | 59 / 60 |
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| `pickplace_box/` | P&PBox | 128 | 42 / 60 |
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| `doubledesk/` | DoubleDesk | 256 | 28 / 60 |
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## Where to find what
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### Exploration logs
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| What | Where |
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|---|---|
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| Agent transcripts | `agent/transcripts/main.jsonl` is the main agent's conversation, one message per line, including every tool call it issued and the result it got back. `agent/transcripts/subagent-<id>.jsonl` are the subagents' conversations in the same format. |
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| Tool calls to the robot | `episodes/<run>/mcp.jsonl` logs every robot tool call (`humanoid_step`, `humanoid_observe`, ...) in that run as request/result pairs. The full response of each call and the camera images it returned are in `episodes/<run>/calls/<n>/`. |
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| Development outcomes | Each exploration episode is an `episodes/interactive-<id>/` directory with its own `result.json`. `results/exploration_and_rehearsals.json` lists the outcome of every exploration episode in one file. |
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| Rehearsal outcomes | Each rehearsal of a candidate controller is an `episodes/rehearsal-<id>/` directory containing the rehearsed code (`code/`), its logs (`stdout.log`, `stderr.log`, `logs.json`) and `result.json`. These outcomes are also listed in `results/exploration_and_rehearsals.json`. |
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| Memory notes | `agent/workspace/memory/` holds the notes the agent kept during the run (`PROGRESS.md`, `TIPS.md` and, where present, `INDEX.md` and topic notes). |
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### Final controllers
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| What | Where |
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| Submitted code bundle | `submission/` is the exact bundle the agent submitted at the end of exploration. `submission/code/<name>/` is the controller code that was run in the formal evaluation, together with its supporting assets (e.g. `robot.json`, `arm_ref.npy`). `submission/memory/` is the memory frozen with the bundle, and `submission/package.json` its metadata. |
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| Formal evaluation | `results/formal.json` gives the submitted bundle id, the success count and the outcome of each of the 60 formal episodes. |
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The controller directory names are the agent's own choices: `football`, `pickplace`
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and `hammer` (for DoubleDesk).
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## Layout
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Each task is packed as `<task>/<task>.tar`. Extracted, every task directory has the same layout:
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```
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<task>/
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├── setting.json # experiment setting (task, observation, budgets, resource limits, model)
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├── agent/
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│ ├── workspace/ # the agent's workspace at the end of the run
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│ │ ├── TASK.md # task description given to the agent
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│ │ ├── AGENTS.md, START_PROMPT.md, MCP_SESSION.md, MCP_CONTRACT.json
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│ │ ├── .agents/ # skills available to the agent
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│ │ ├── code/ # controller code written by the agent
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│ │ ├── memory/ # notes the agent kept
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│ │ └── experiments/ # the agent's experiment scripts and outputs
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│ └── transcripts/
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│ ├── main.jsonl # main agent conversation (messages and tool calls)
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│ └── subagent-<id>.jsonl # subagent conversations
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├── submission/ # final controller submitted for formal evaluation
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│ ├── code/<name>/
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│ ├── memory/
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│ └── package.json
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├── episodes/
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│ ├── interactive-<id>/ # one exploration episode
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│ │ ├── mcp.jsonl # robot tool-call log
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│ │ ├── calls/<n>/ # response.json and images returned by each call
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│ │ ├── frames/ # recorded frame sequences
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│ │ └── result.json
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│ └── rehearsal-<id>/ # one rehearsal of a candidate controller
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│ ├── code/ # the controller that was rehearsed
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│ ├── calls/, frames/, exports/, mcp.jsonl
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│ ├── stdout.log, stderr.log, logs.json
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│ └── result.json
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└── results/
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├── formal.json # formal evaluation of the submitted controller
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└── exploration_and_rehearsals.json # outcome of every exploration episode and rehearsal
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```
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Host-specific paths and IDs in the transcripts are replaced with `<host-storage>`,
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`<uid>` and `<gid>`.
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humanoid-arena/doubledesk/doubledesk.tar
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version https://git-lfs.github.com/spec/v1
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oid sha256:1407c8f5e89129713f35b1b8d28b001d57f387a77b00dfcf316e21b50c336f27
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size 30692710400
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humanoid-arena/football/football.tar
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version https://git-lfs.github.com/spec/v1
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oid sha256:dd73afdfaad71a403e15ea5eea3abfca3900b2d727711bf23174a2967bdb20e9
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size 11373137920
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humanoid-arena/pickplace_box/pickplace_box.tar
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version https://git-lfs.github.com/spec/v1
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oid sha256:1b56182fd98cabdd608c32fea630206fcfa12e4cad2d916eabbdc66e262c9839
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size 8773693440
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