v1.0_release/SCHEMA.md

Annotation format — proact-studio-v3

All fifteen released files share exactly one shape. There are no task-specific or track-specific keys: if a field exists in one file it exists in all of them, with the same type. A loader written against one file reads all of them.

The only difference between splits is which fields carry values:

Field	*_dev	*_test
videos.*.samples	the segment annotations	{}
clips.*.sample_ids	present	absent
qa_items.*.answer_choices	present, with letter	present, with letter
qa_items.*.answer / correct_letter	present	absent
canary	present (dev only)	absent

Top level

{
  "schema_version": "proact-studio-v3",
  "task": "state_tracking",   // "information_capture" | "state_tracking" | "location_tracking"
  "kind": "canonical",
  "rev": 0,
  "split": "test",            // "test" | "dev"
  "ground_truth_released": false,
  "videos": { … },            // the annotations, indexed by source video
  "clips": { … }              // the evaluation units, indexed by clip
}

Check ground_truth_released before you score anything. On the test split it is false, videos.*.samples is {}, and sample_ids is absent — by design. A loader that iterates the samples tree without checking will report zero segments and score every model at 0.0 without erroring.

The task field and the paper's short labels correspond as information_capture → IC, state_tracking → ST, location_tracking → LT.

videos.<video_uid>

{
  "video_uid": "3dd00666-a34d-4b45-bb4c-7a4c2342e475",
  "video_path": null,         // always null; video is not distributed
  "samples": { … }            // {} on the test split
}

video_uid is the upstream id: an Ego4D video UID, a FineBio id such as P01_01_02, or a BioVL-QR name such as purifydna_1.

videos.<video_uid>.samples.<sample_id> — a segment

One annotated thing-worth-speaking-about, in one video. Dev only.

{
  "sample_id": "proact_st_3b538dd6-a02d-5500-8b41-cdf5ec005677",
  "task": "state_tracking",
  "object": "kettle",
  "note": "unattended: yes",
  "times":       { "start_sec": 23.569444, "end_sec": null },
  "clip":        { "clip_uid": "proact_clip_…",
                   "local_start_sec": 23.569444,
                   "local_end_sec": null }
}

Field	Meaning
object	the ground-truth object identity. This is the string the LLM judge compares a model's free-text mention against. There is no ground-truth message text.
note	free-text annotator note. Task-dependent and not part of the scored reference — e.g. ST uses it for unattended: yes/no.
times	source-video seconds.
clip.local_*	the same instants relative to clips[clip_uid].abs_start_sec.

end_sec: null is an open interval, not missing data

The state or location was still current when the clip ended. The segment is genuinely open, and the intended reading is "still true at the clip boundary".

There are 318 open segments in the Daily track and 159 in Science; Science LT alone is 144 of 371. A loader that treats null as a parse error, or that drops such segments, discards a large fraction of the ground truth.

The scoring rule is in eval_config.json: clamp the end to clips[clip_uid].duration_sec, then drop the segment if end <= start.

Whenever times.end_sec is null, clip.local_end_sec is null too.

clips.<clip_uid> — an evaluation unit

A clip is what a model is actually shown. Models are evaluated per clip, never on a whole source video.

{
  "clip_uid": "proact_clip_618ac742-847f-51da-9275-6a551bde597c",
  "video_uid": "3dd00666-a34d-4b45-bb4c-7a4c2342e475",
  "clip_path": null,              // always null; video is not distributed
  "abs_start_sec": 793.413382,    // cut window in the SOURCE video
  "abs_end_sec":   973.413382,
  "duration_sec":  180.0,
  "sample_ids": [ "proact_vc_…", … ],   // ABSENT on the test split
  "qa_items": { … }
}

To reconstruct the clip, cut the source video from abs_start_sec to abs_end_sec. The clip-local times on every sample are then correct with no further offset.

duration_sec is present and non-null on all 400 clips, in every split. It is load-bearing: open segments are resolved against it, so a missing duration silently deletes them.

Why sample_ids is withheld on test

Its length is the number of events to report in that clip, and an empty list identifies a declared negative — a clip where nothing is worth speaking about, the correct output is silence, and any prediction is a false positive. Both are answers, so neither ships. On dev, sample_ids is present and every id resolves in videos.*.samples.

clips.<clip_uid>.qa_items.<qa_id> — the memory probe

{
  "qa_id": "proact_qa_00bb8716-48f2-43a4-979b-0842ae465bdb",
  "question": "What warning was written on the floor sign I saw?",
  "answer_choices": [
    { "letter": "A", "text": "Watch Your Step" },
    { "letter": "B", "text": "Caution Wet Floor" },
    { "letter": "C", "text": "Cleaning in Progress" },
    { "letter": "D", "text": "Caution Wet Paint" }
  ],

  // dev only:
  "answer": "Caution Wet Floor",
  "correct_letter": "B",
  "notes": ""
}

Every QA item in both tracks is 4-way multiple choice — all 1,500 of them.

Present the choices in the order given. Do not reorder them.

The released order is the scored order: the letter in each choice is the letter the scorer expects. Correct answers are spread evenly over A/B/C/D.

• Read letter; never recompute it.
• Submit letters, not choice text. A submission is qa_id → letter.

answer is the correct option's text, duplicated for convenience. notes is an annotator field, usually empty, and is not scored.

Five clips have empty qa_items (four Daily, one Science).

Worked example — load and iterate

import json

gt = json.load(open("json/main_dev/state_tracking.json"))
assert gt["ground_truth_released"], "test split carries no annotations"

# index samples by id, since they live under their video
samples = {sid: s
           for v in gt["videos"].values()
           for sid, s in v["samples"].items()}

for clip_uid, clip in gt["clips"].items():
    segments = [samples[sid] for sid in clip["sample_ids"]]

    if not segments:
        pass  # declared negative: the model should stay silent

    for s in segments:
        start = s["clip"]["local_start_sec"]
        end   = s["clip"]["local_end_sec"]
        if end is None:
            end = clip["duration_sec"]        # open interval -> clip boundary
        if end <= start:
            continue                          # zero-length; the matcher drops these
        # s["object"] is the reference the judge scores a mention against

    for qa in clip["qa_items"].values():
        prompt = "\n".join(f'{c["letter"]}. {c["text"]}' for c in qa["answer_choices"])
        gold = qa["correct_letter"]            # dev only

On the test split, drop the segment half of that loop and keep the QA half without gold.

What is deliberately absent

Construction metadata was removed before release and is not recoverable from these files: annotator accounts and per-edit history, review and acceptance blocks, free-text object descriptions, generated proactive message templates, and the QA provenance layer. 5,628 personal identifiers were removed; zero remain.

This means the released files record what the ground truth is, not who produced it or when. If you need inter-annotator agreement figures, they are reported in the paper rather than derivable from this release.