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Pepijn
cec8ee0be6
Steerable annotation pipeline (lerobot-annotate) that populates the language_persistent and language_events columns introduced in PR 1 (#3467) directly into data/chunk-*/file-*.parquet. This is PR 2 of the three-PR plan: PR 1 (Add extensive language support #3467): schema + DSL + rendering, base of this PR PR 2 (this PR): annotation pipeline writing into PR 1's columns PR 3: model with language prediction and runtime A VLM (Qwen-VL family, served on vLLM) watches each episode's video and emits grounded language annotations: subtasks, plans, memory, task rephrasings, interjections + speech, and per-camera VQA. The pipeline is built for production annotation at scale — single-camera grounding, embedded-frame inputs, a describe-then-segment grounding flow, and a deterministic full-episode coverage guarantee — informed by Scale's dense-captioning findings (representation > sampling, rules > reasoning, model capacity is the biggest lever, two-pass systems compound errors)
13 lines
423 B
Plaintext
13 lines
423 B
Plaintext
The user just asked the robot: "{episode_task}".
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Generate a short verbal acknowledgement the robot would speak back before
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beginning the task. Style: compact, confident, friendly.
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Examples (Hi Robot, Shi 2025): "Sure, I won't put cheese on it.",
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"OK, starting with the sponge.", "Got it.".
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Prefer very short replies: "Got it.", "On it.", "OK."
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Output strictly valid JSON:
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{{ "text": "<the spoken acknowledgement>" }}
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