trace-bench / data /releases /README.md
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Release TRACE v1.1.0 dataset
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Release files and field reference

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This reference describes the shipped v1.1.0 annotation snapshot. Data and software versions are independent. For video downloads, see data setup; for licensing, see data terms. The StreamingBench authors have permitted redistribution of the modified annotation files included here. StreamingBench-derived TRACE additions are offered under CC BY-NC-SA 4.0 within the rights held by TRACE contributors. This does not license original videos or upstream source fields; OVO-Bench annotation terms remain unresolved.

File inventory

Paths below are relative to v1.1.0/. JSONL contains one JSON object per line; ID files contain a JSON array of record_id strings.

File Contents
manifest.json Release identity, canonical file names, counts and SHA-256 hashes
qa.jsonl 833 canonical QA records
proactive.jsonl 415 canonical Proactive records, 1,338 response windows
tiny_qa_ids.json 9 QA IDs for setup checks
tiny_proactive_ids.json 9 Proactive IDs for setup checks
standard_proactive_ids.json 407 standard-subset IDs
high_frequency_proactive_ids.json 8 sampling-stress-subset IDs
proactive_standard.jsonl Complete canonical rows for the standard subset: 1,270 windows
proactive_high_frequency.jsonl Complete canonical rows for the stress subset: 68 windows
proactive_subsets.json Subset criterion, counts, hashes and partition checks
changes.jsonl 380 review change/removal records
exclusions.jsonl 52 excluded source records and reason codes
review_summary.json Review coverage and disposition counts
validation_report.json Validation results recorded when building the snapshot

--subset full reads the canonical files, including sampling stress; it does not automatically select the standard subset. --subset tiny selects the manifest's tiny IDs. Keep all snapshot files: release validation checks the manifest hashes, including audit and derived files.

Shared conventions

Times and durations are in seconds. Timestamps use the original video's time coordinates, not elapsed inference time. Intervals are half-open [start_s, end_s). video_path is relative to the video root supplied to TRACE. Videos and model weights are not included.

The tables describe fields present in v1.1.0; “optional” means a field may be absent. The loader also allows memory_length and legacy deadline_s to be null. Ground-truth answers and review metadata are scoring/audit information, not model input.

Shared QA / Proactive field Type Meaning
record_id string Unique canonical record ID; used by subset files and result records
source_id string Source identity; equals record_id in this snapshot
task string qa or proactive
task_type string Task category inherited from the source benchmark
video_path string Relative source-video path
memory_length number / null Derived annotation duration, as defined below; not a runtime cutoff
metadata object Provenance, review and temporal annotations

QA records

Field Type Meaning
question string Question text
options array of strings Ordered answer options, including their labels
answer string Ground-truth option label
question_time_s number Video time at which the question is submitted
evidence_anchor_s number Evidence anchor used to construct the history prefix
memory_length number / null In v1.1.0, question_time_s - evidence_anchor_s

With the default qa_window_s=10, Core samples from max(0, evidence_anchor_s - 10) through question_time_s. Thus memory_length is not the total sampled-prefix duration, and the anchor is not necessarily the start of an evidence span. See the evaluation protocol.

Proactive records

Field Type Meaning
instruction string Monitoring instruction
instruction_time_s number Video time at which monitoring is instructed
deadline_s number / null Legacy annotation horizon retained for provenance; never the current inference cutoff
windows array of objects Stored response windows
windows[].start_s, windows[].end_s number Stored window boundaries
windows[].expected_answer string Ground-truth response for that window
memory_length number / null In v1.1.0, legacy deadline_s - instruction_time_s

Stored point windows reflect the snapshot's 5-second policy. The evaluation protocol/configuration determines the effective 5- or 10-second windows; point windows stop at the next trigger if earlier. State intervals retain their annotated boundaries. Evidence spans do not define response tolerance. Legacy duration fields do not require processing the full video. Evidence delivery and output draining follow the evaluation protocol, not deadline_s.

Metadata

Field inside metadata Type / scope Meaning
dataset string / both ovo_bench or streambench (StreamingBench)
stable_id string / both Stable audit identity; distinct format from canonical record_id
source_file string / both Source annotation filename for provenance
source_question_id string / both Question ID in the source annotations
required_ability string / both Source ability description; may be empty
validation_tier string / both human_reviewed or machine_screened
machine_risk_level string / both Historical machine-screening result, not the final validity decision
retention_gap_s number / both Derived duration; equals this snapshot's memory_length
source_memory_length_s number / both Original source duration
source_memory_length_discrepancy_s number / both Source duration minus derived duration
evidence_spans array / QA, optional Review evidence; each object has start_s, end_s (numbers) and description (string)
video_categories string / Proactive Source video category; may be empty
first_trigger_lead_s number / Proactive Earliest trigger time minus instruction time
monitoring_horizon_s number / Proactive Legacy deadline_s - instruction_time_s; descriptive only
point_response_tolerance_s number / Proactive Snapshot point tolerance (5); does not override evaluation configuration
trigger_annotations array / Proactive Event/state annotations aligned by index with windows
media_boundary_adjustments array / both, optional Timestamp corrections to readable media boundaries

Each media_boundary_adjustments object contains field (string), source_value_s and effective_value_s (numbers), and reason (string). A retained machine_risk_level such as blocking may precede a human correction; do not use it alone to exclude a released record.

Proactive trigger annotations

Field inside trigger_annotations[] Type Meaning
event_id string Event identity within the record
answer string Expected answer
annotation_source string Origin of the trigger annotation, e.g. human review or inferred task policy
trigger_type string event_onset, event_completion, clue_sufficient, or state_interval
point_trigger_s number / null Point trigger time; null for state intervals
interval_start_s, interval_end_s number / null State interval boundaries; null when not applicable
response_policy string Snapshot policy label, e.g. up_to_5s_until_next_trigger or reviewed_state_interval
response_window_start_s, response_window_end_s number Snapshot response-window boundaries
source_window_start_s, source_window_end_s number, optional Original window boundaries before correction
accepted_facts array of strings, optional Alternative acceptable factual descriptions
evidence_description string, optional Review explanation of visual evidence
evidence_start_s, evidence_end_s number, optional Evidence segment for review

event_onset means the condition first holds; event_completion means the action is complete; clue_sufficient means evidence first suffices to determine the answer; state_interval describes when a state holds. These describe visual facts, not model latency allowances.

Manifest

Field Meaning
release_id, schema_version Data release identifier and schema identifier (strings)
status Release status; this combined snapshot is private_provisional because OVO-Bench annotation terms remain unresolved. StreamingBench modified annotations have author redistribution permission; see data terms
qa_file, proactive_file Canonical JSONL filenames
tiny_qa_ids_file, tiny_proactive_ids_file Tiny ID filenames
counts Object mapping population names to integer counts
source_files Array of source fingerprints: path (provenance identifier) and sha256
files Object mapping 13 snapshot filenames to SHA-256 strings; excludes the manifest itself
video_root_notes Video-root setup note (string)
limitations Array of release limitation strings

Source fingerprint paths are provenance identifiers, not files users must download at those paths. Status is separate from the build validation result.

Proactive subset descriptor

proactive_subsets.json uses these fields:

Field Meaning
schema_version, source_file Descriptor schema and canonical source filename
source.record_count, source.window_count Total source records and windows
criterion.name, criterion.reason Criterion identifier and explanation
criterion.scope record: retain all windows of each selected record
criterion.window_duration Formula end_s - start_s
criterion.threshold_s, criterion.inclusive Threshold 1.0 second, inclusive
subsets.standard, subsets.high_frequency Each contains ids_file, record_file, record_count, window_count, qualifying_window_count
hashes SHA-256 strings keyed by source_file, standard_ids_file, standard_record_file, high_frequency_ids_file, high_frequency_record_file
checks Boolean checks: full_records_preserved, record_ids_disjoint, record_ids_union_equals_source, record_order_sorted_by_record_id

A record enters sampling stress if any stored window lasts at most 1 second. The 8 selected records have 68 windows, of which 25 meet that criterion. This split uses snapshot windows; it is not recomputed from run FPS or tolerance. A short window is not automatically unobservable: sampling phase also matters.

Review and validation sidecars

These files summarize changes and coverage, not a complete annotation audit package with prompts, sampling scripts or full reviewer conversations.

Changes and exclusions

Both JSONL files include record_id, stable_id, dataset, mode (QA/Proactive) and task_type, all strings.

Additional field Meaning
changes.jsonl: disposition Review action
changes.jsonl: issue_codes Array of recorded issue-code strings
changes.jsonl: changes Array of field (source field path), old_value, new_value objects
exclusions.jsonl: reason_codes Array of exclusion-reason strings

Old/new values preserve their source JSON types, including null and nested objects; field paths need not match canonical record paths. Historical trigger payloads can also contain observed_onset_s, observed_completion_s, monitoring_horizon_s, response_tolerance_s, tolerance_before_s, and tolerance_after_s, alongside the event, answer and evidence fields above. These retain historical annotation values, not current scoring settings. There are 328 edited and 52 removed records in the 380 change records; exclusions are not additional removals.

Review summary

Field in review_summary.json Meaning
release_id Data release identifier
source_record_count, included_record_count, excluded_record_count 1,300 input, 1,248 retained, 52 excluded
saved_review_count, unresolved_saved_reviews 577 saved reviews; 0 unresolved saved reviews
review_dispositions Counts by action: edit 328, remove 52, valid 197
validation_tiers Retained records: human_reviewed 525, machine_screened 723
pending_machine_screened_count Historical name for the 723 retained records without individual human review
included_by_dataset_mode, included_by_task_type Objects mapping source/task categories to retained counts
duplicate_policy Rule retaining the smaller stable ID
duplicate_upper_id_removals 25 duplicate removals, already included in the 52 exclusions

Validation report

validation_report.json contains release_id, status (build result), counts (integer counts for qa, proactive, included, excluded, changes) and checks (named booleans):

Check Meaning
all_saved_reviews_completed Saved reviews were resolved
all_unreviewed_records_machine_completed_no_issue Records without individual review passed machine screening
answers_match_options QA answers match available option labels
canonical_content_unique, canonical_record_ids_unique Canonical content and IDs are unique
duplicate_upper_ids_removed Duplicate policy was applied
media_boundaries_within_last_readable_frame Checked timestamps fit readable media boundaries
proactive_instruction_before_trigger Instructions precede triggers
proactive_positive_windows, proactive_windows_non_overlapping Stored windows have positive duration and do not overlap
qa_evidence_not_after_question Evidence anchors do not follow questions
reviewed_memory_intervals_derived Reviewed duration fields were derived
source_lineage_matches_audit_manifest Source fingerprints match the audit manifest
streambench_proactive_128_matches_upstream Specific source-record consistency check

These are saved build-time checks, not a fresh validation of your local media or a license grant. Use trace data validate --release data/releases/v1.1.0 from the repository root to validate the installed snapshot's schema and hashes.