Release UniversalLabeler 1.0 data, schemas, examples, and rubrics

Data-only release. Includes 19 label-language profiles, five controlled human languages, 30 conformance surfaces, a 22-dimension world-model audit, UAP ontology, strict schemas, grounded examples, review rubric, evaluation protocol, validation manifest, and checksums. Private runtime and model infrastructure are excluded.

LICENSE

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README.md

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+---
+license: apache-2.0
+language:
+  - en
+  - zh
+  - tl
+  - es
+  - hi
+tags:
+  - multilingual
+  - translation
+  - world-models
+  - egocentric-video
+  - robotics
+  - annotations
+  - json-schema
+pretty_name: UniversalLabeler 1.0
+size_categories:
+  - n<1K
+---
+
+# UniversalLabeler 1.0
+
+UniversalLabeler is a data and schema release for translating AI dataset labels
+without reducing them to one caption string. It treats every dataset annotation
+format as a language with its own temporal unit, ontology, roles, evidence, and
+grading rubric.
+
+The central artifact is a language-independent packet of evidence-linked atomic
+claims. English, Simplified Chinese, Tagalog, Spanish, Hindi, or a dataset-native
+label are projections of that packet. The source record is preserved verbatim,
+and every projection records what it represented, omitted, or could not express.
+
+This repository contains data, schemas, examples, rubrics, and validation
+receipts. It does not contain the private translation runtime, model prompts,
+teacher routing, credentials, or operational infrastructure.
+
+## What is included
+
+- 19 label-language profiles: 14 representative dataset/interlingua profiles
+  and five controlled human-language profiles;
+- a six-frame controlled conformance matrix in English, Simplified Chinese,
+  Tagalog, Spanish, and experimental Hindi;
+- a 22-dimension world-model supervision audit derived from active dataset
+  papers and official annotation systems;
+- the Universal Annotation Packet ontology and strict JSON Schemas;
+- a grounded synthetic event with agents, both hands, objects, environment,
+  before/after state, outcome, evidence, provenance, and four language
+  expressions;
+- loss-audited EPIC-style, instructional, and world-model projections; and
+- a translation review rubric and adversarial evaluation protocol.
+
+The controlled matrix is a conformance fixture, not a claim of broad machine
+translation quality. Open vocabulary and unrestricted prose require an external
+candidate generator plus independent bilingual review.
+
+## Why ordinary caption translation is insufficient
+
+`fold towel` can omit the actor, which hands participate, where the towel is,
+its before/after state, whether the action succeeded, the exact interval, and
+which frames support each statement. A fluent translation of that phrase cannot
+recover information that was never represented.
+
+UniversalLabeler separates:
+
+```text
+world semantics       action, roles, hands, objects, states, time, outcome
+communicative meaning speech act, register, aspect, polarity, uncertainty
+expression evidence   original text, language, source record and digest
+grounding             source-clock selectors, frames, sensors and provenance
+projection ledger     represented, omitted and unavailable claims
+```
+
+## Files
+
+```text
+data/controlled-action-matrix.jsonl
+data/label-languages-v1.json
+data/world-model-label-audit-v1.json
+ontology/universal-annotation-core-v1.json
+schemas/*.schema.json
+examples/fold-towel.uap.json
+examples/*.adapter.json
+rubrics/TRANSLATION_REVIEW.md
+rubrics/EVALUATION_PROTOCOL.md
+metadata/validation.json
+metadata/release.json
+SHA256SUMS
+```
+
+## Using the release
+
+1. Identify the exact source annotation schema and revision.
+2. Preserve the complete native record and digest.
+3. Convert supported facts into atomic claims with source-clock and evidence
+   references. Unsupported facts remain absent or explicitly unknown.
+4. Generate each target-language surface from the same claim set. Do not chain
+   target languages through English.
+5. Record every represented and omitted claim.
+6. Validate the records with the included JSON Schemas.
+7. Apply independent bilingual and video-grounded review using the published
+   rubric before treating model-produced language as accepted data.
+
+## Human languages
+
+| Locale | Current scope | Important retained distinctions |
+|---|---|---|
+| `en` | Controlled action directives | Articles and implicit imperative subject |
+| `zh-Hans` | Controlled Simplified Chinese actions | Script, aspect/classifier non-inference, zero arguments |
+| `tl` | Controlled Tagalog actions | Voice/pivot and `ang`/`ng`/`sa` marking |
+| `es` | Controlled Spanish actions | Person/register and gender/number commitments |
+| `hi` | Experimental controlled Hindi actions | Word order, case/postpositions, agreement and politeness |
+
+## Validation status
+
+The release builder validates every schema, checks every controlled surface
+against one canonical semantic frame, verifies content digests and references,
+scans the clean payload for private paths and credentials, and reproduces the
+same output tree twice. See `metadata/validation.json` for the exact counts and
+digests.
+
+## Limitations
+
+- The controlled matrix covers six predicate–patient frames. It is deliberately
+  small and should be used as a parser/renderer conformance suite.
+- Round-trip stability can reproduce the same mistake twice. It is not a
+  substitute for independent bilingual or video-grounded evaluation.
+- Tagalog voice/pivot, Chinese aspect and classifiers, Spanish morphology,
+  Hindi agreement, code switching, negation, quantifier scope, and unrestricted
+  prose require broader reviewed data.
+- The world-model audit describes supervision dimensions. It does not claim
+  native adapter completeness for every cited dataset.
+- Synthetic review receipts are conformance identifiers, not human-review
+  evidence.
+
+## License
+
+The original UniversalLabeler specifications, profiles, ontology, schemas, and
+synthetic fixtures in this repository are Apache-2.0. The release does not
+redistribute upstream media or annotation rows. References to upstream datasets
+remain subject to their own licenses and access terms.
+
+## Citation
+
+```bibtex
+@dataset{universal_labeler_2026,
+  author = {Pablo and contributors},
+  title = {UniversalLabeler 1.0: Loss-Resistant Translation Contracts for World-Model Labels},
+  year = {2026},
+  publisher = {Hugging Face},
+  url = {https://huggingface.co/datasets/itspublu/UniversalLabeler}
+}
+```

SHA256SUMS

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+0538b0fed676807332ee0cc06c5224edf14d83d666c42ffb63d5806beb7bc3ab  README.md
+7412c4eb10fa8e0afec6dfa5985b80d0e304f35c47c073ec8bb556ba2bda5bf8  data/controlled-action-matrix.jsonl
+8325d9ce21a3c55eaee7e15128e0261a9fc5c1bb8b6afde975b41f7c0af45e2b  data/label-languages-v1.json
+b3dccdd082dd6e01cc208c503d64a9a4be9ef8e1fc9b2a405e94ffd4a4688777  data/world-model-label-audit-v1.json
+1718b0990e41d2c8d5c8eacadd428da45a9b65d81dc0a01c7da5c65f3f9f1f8f  examples/epic-action.adapter.json
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+21a2e73a37aec0ca2ce5280030e624ba91ac36b0b7a0111b337923671cbf64de  examples/instructional.adapter.json
+35ed9b284ca84069aeb8903244b0518be49422851e22242b7fce8ea07f674772  examples/world-model.adapter.json
+11b18c4cc16ef58352f79a50b86ba58f9d11d8b59b120e98b9631fa228c59ba4  metadata/release.json
+4f159b8493b9e422277e1ff83bbfc9636b8f67836c312ef1d9c85e1be0f33611  metadata/validation.json
+725a3e2812d7c5078cb00a1de88cad8f683b96253197a5da17867de170e2a70c  ontology/universal-annotation-core-v1.json
+0ec38badd04c411a372a2ee6291028d199b73df2580febb939b59cd71e57c808  rubrics/EVALUATION_PROTOCOL.md
+4985672df3a562cb38ae4413a9d6cfe85ee930d8532e9a9de52bf8b570e35c65  rubrics/TRANSLATION_REVIEW.md
+475bbcd5edb96f39b2b27d41439b22852c551e8329662f5901a516b4e05f5ad1  schemas/controlled-action-matrix.schema.json
+ecb0fbb54703efd506c6d01d65d6a304435a3d32219398d3cf5695d3ea0c85b7  schemas/deconstructed-english.schema.json
+7c551f19fcdcf1a712cdca03917df99a7dbc365b5d5c606fb383212ecb3b1fc9  schemas/eval-common.schema.json
+b12247a9489e290d603d6e4f5418b1ef258a2de3f55ad7474d60ad880161d041  schemas/grounded-label-graph.schema.json
+66bb12794fd0f8db4ce2fe3737ea429c7d0bcf5d38c6ebca490999eda4ce1f02  schemas/label-language-profile.schema.json
+a7c13bb6f1f2919e093302015b0f8a017e4fa15637669d88c0cb3be87f222a62  schemas/round-trip-audit.schema.json
+09bcb3c68be6021be69a4926d376bb2eb8231f7ea7f93bea9b63818ecaeea072  schemas/universal-annotation-adapter.schema.json
+d3f8e87c5a25ce0073c929866c0446e9b35dfa6ea5aa8c19dfe4b8485dd37121  schemas/universal-annotation-ontology.schema.json
+e7d7517a40031b22e222e1986335f1e65576bdbbcdc0f3ec1956e8ccef11ca82  schemas/universal-annotation-packet.schema.json
+54f2544a469f4bd24be9fcbbbad40264d15d7951d77c4fb3ca023ed21b430907  schemas/universal-annotation-projection.schema.json
+ec76d98f4686f07b8bb35844628f5a6ea779df23596ac8733f580afdef6e582f  schemas/universal-translation.schema.json
+f8ffb778dbb51dafb2faa0f7aa54c791e02369a570728a72fb30d0ba8adf3cbd  schemas/world-model-label-audit.schema.json

data/controlled-action-matrix.jsonl

@@ -0,0 +1,6 @@
+{"frame_id":"close__box","profile_bundle_digest":"sha256:43f02476a7e74716b425b9536abd5def4444c86d7861fdcac484ac1dafe9c40e","release_status":"synthetic_conformance_not_translation_gold","schema_version":"1.0.0","semantic_frame":{"patient_concept_id":"box","predicate_concept_id":"close","speech_act":"directive"},"source":{"language_profile_id":"human.en.controlled_action_v1","language_tag":"en","text":"close the box"},"surfaces":{"en":{"language_profile_id":"human.en.controlled_action_v1","language_tag":"en","loss_report":[],"meaning_digest":"sha256:c9df0c86c55af66b815797f275e1f0371a9df8c485155fb11113d72ad20c3da5","method":"source","text":"close the box"},"es":{"language_profile_id":"human.es.controlled_action_v1","language_tag":"es","loss_report":[],"meaning_digest":"sha256:c9df0c86c55af66b815797f275e1f0371a9df8c485155fb11113d72ad20c3da5","method":"pinned_algorithm","text":"Cierra la caja"},"hi":{"language_profile_id":"human.hi.controlled_action_v1","language_tag":"hi","loss_report":[],"meaning_digest":"sha256:c9df0c86c55af66b815797f275e1f0371a9df8c485155fb11113d72ad20c3da5","method":"pinned_algorithm","text":"डिब्बा बंद करो"},"tl":{"language_profile_id":"human.tl.controlled_action_v1","language_tag":"tl","loss_report":[],"meaning_digest":"sha256:c9df0c86c55af66b815797f275e1f0371a9df8c485155fb11113d72ad20c3da5","method":"pinned_algorithm","text":"Isara ang kahon"},"zh-Hans":{"language_profile_id":"human.zh_hans.controlled_action_v1","language_tag":"zh-Hans","loss_report":[],"meaning_digest":"sha256:c9df0c86c55af66b815797f275e1f0371a9df8c485155fb11113d72ad20c3da5","method":"pinned_algorithm","text":"关闭盒子"}}}
+{"frame_id":"close__door","profile_bundle_digest":"sha256:43f02476a7e74716b425b9536abd5def4444c86d7861fdcac484ac1dafe9c40e","release_status":"synthetic_conformance_not_translation_gold","schema_version":"1.0.0","semantic_frame":{"patient_concept_id":"door","predicate_concept_id":"close","speech_act":"directive"},"source":{"language_profile_id":"human.en.controlled_action_v1","language_tag":"en","text":"close the door"},"surfaces":{"en":{"language_profile_id":"human.en.controlled_action_v1","language_tag":"en","loss_report":[],"meaning_digest":"sha256:e04951760d0b78e5a8ec9e7987683ff5282fec700391def7b7d743778f5ad62a","method":"source","text":"close the door"},"es":{"language_profile_id":"human.es.controlled_action_v1","language_tag":"es","loss_report":[],"meaning_digest":"sha256:e04951760d0b78e5a8ec9e7987683ff5282fec700391def7b7d743778f5ad62a","method":"pinned_algorithm","text":"Cierra la puerta"},"hi":{"language_profile_id":"human.hi.controlled_action_v1","language_tag":"hi","loss_report":[],"meaning_digest":"sha256:e04951760d0b78e5a8ec9e7987683ff5282fec700391def7b7d743778f5ad62a","method":"pinned_algorithm","text":"दरवाज़ा बंद करो"},"tl":{"language_profile_id":"human.tl.controlled_action_v1","language_tag":"tl","loss_report":[],"meaning_digest":"sha256:e04951760d0b78e5a8ec9e7987683ff5282fec700391def7b7d743778f5ad62a","method":"pinned_algorithm","text":"Isara ang pinto"},"zh-Hans":{"language_profile_id":"human.zh_hans.controlled_action_v1","language_tag":"zh-Hans","loss_report":[],"meaning_digest":"sha256:e04951760d0b78e5a8ec9e7987683ff5282fec700391def7b7d743778f5ad62a","method":"pinned_algorithm","text":"关闭门"}}}
+{"frame_id":"fold__towel","profile_bundle_digest":"sha256:43f02476a7e74716b425b9536abd5def4444c86d7861fdcac484ac1dafe9c40e","release_status":"synthetic_conformance_not_translation_gold","schema_version":"1.0.0","semantic_frame":{"patient_concept_id":"towel","predicate_concept_id":"fold","speech_act":"directive"},"source":{"language_profile_id":"human.en.controlled_action_v1","language_tag":"en","text":"fold the towel"},"surfaces":{"en":{"language_profile_id":"human.en.controlled_action_v1","language_tag":"en","loss_report":[],"meaning_digest":"sha256:17a0e50e4b760cb48edcd091c2c99b1ff46f09f3b6654611f440ab072f6d6596","method":"source","text":"fold the towel"},"es":{"language_profile_id":"human.es.controlled_action_v1","language_tag":"es","loss_report":[],"meaning_digest":"sha256:17a0e50e4b760cb48edcd091c2c99b1ff46f09f3b6654611f440ab072f6d6596","method":"pinned_algorithm","text":"Dobla la toalla"},"hi":{"language_profile_id":"human.hi.controlled_action_v1","language_tag":"hi","loss_report":[],"meaning_digest":"sha256:17a0e50e4b760cb48edcd091c2c99b1ff46f09f3b6654611f440ab072f6d6596","method":"pinned_algorithm","text":"तौलिया मोड़ो"},"tl":{"language_profile_id":"human.tl.controlled_action_v1","language_tag":"tl","loss_report":[],"meaning_digest":"sha256:17a0e50e4b760cb48edcd091c2c99b1ff46f09f3b6654611f440ab072f6d6596","method":"pinned_algorithm","text":"Tiklupin ang tuwalya"},"zh-Hans":{"language_profile_id":"human.zh_hans.controlled_action_v1","language_tag":"zh-Hans","loss_report":[],"meaning_digest":"sha256:17a0e50e4b760cb48edcd091c2c99b1ff46f09f3b6654611f440ab072f6d6596","method":"pinned_algorithm","text":"叠毛巾"}}}
+{"frame_id":"open__box","profile_bundle_digest":"sha256:43f02476a7e74716b425b9536abd5def4444c86d7861fdcac484ac1dafe9c40e","release_status":"synthetic_conformance_not_translation_gold","schema_version":"1.0.0","semantic_frame":{"patient_concept_id":"box","predicate_concept_id":"open","speech_act":"directive"},"source":{"language_profile_id":"human.en.controlled_action_v1","language_tag":"en","text":"open the box"},"surfaces":{"en":{"language_profile_id":"human.en.controlled_action_v1","language_tag":"en","loss_report":[],"meaning_digest":"sha256:d82f4d4296efc879368f12bad4249ac6971177b026298397c7d8f7f05f5af03d","method":"source","text":"open the box"},"es":{"language_profile_id":"human.es.controlled_action_v1","language_tag":"es","loss_report":[],"meaning_digest":"sha256:d82f4d4296efc879368f12bad4249ac6971177b026298397c7d8f7f05f5af03d","method":"pinned_algorithm","text":"Abre la caja"},"hi":{"language_profile_id":"human.hi.controlled_action_v1","language_tag":"hi","loss_report":[],"meaning_digest":"sha256:d82f4d4296efc879368f12bad4249ac6971177b026298397c7d8f7f05f5af03d","method":"pinned_algorithm","text":"डिब्बा खोलो"},"tl":{"language_profile_id":"human.tl.controlled_action_v1","language_tag":"tl","loss_report":[],"meaning_digest":"sha256:d82f4d4296efc879368f12bad4249ac6971177b026298397c7d8f7f05f5af03d","method":"pinned_algorithm","text":"Buksan ang kahon"},"zh-Hans":{"language_profile_id":"human.zh_hans.controlled_action_v1","language_tag":"zh-Hans","loss_report":[],"meaning_digest":"sha256:d82f4d4296efc879368f12bad4249ac6971177b026298397c7d8f7f05f5af03d","method":"pinned_algorithm","text":"打开盒子"}}}
+{"frame_id":"open__door","profile_bundle_digest":"sha256:43f02476a7e74716b425b9536abd5def4444c86d7861fdcac484ac1dafe9c40e","release_status":"synthetic_conformance_not_translation_gold","schema_version":"1.0.0","semantic_frame":{"patient_concept_id":"door","predicate_concept_id":"open","speech_act":"directive"},"source":{"language_profile_id":"human.en.controlled_action_v1","language_tag":"en","text":"open the door"},"surfaces":{"en":{"language_profile_id":"human.en.controlled_action_v1","language_tag":"en","loss_report":[],"meaning_digest":"sha256:e17409fbe41f5cd96bed2c8f4a614ddc920080a7d1188039e656ecb5f3d26781","method":"source","text":"open the door"},"es":{"language_profile_id":"human.es.controlled_action_v1","language_tag":"es","loss_report":[],"meaning_digest":"sha256:e17409fbe41f5cd96bed2c8f4a614ddc920080a7d1188039e656ecb5f3d26781","method":"pinned_algorithm","text":"Abre la puerta"},"hi":{"language_profile_id":"human.hi.controlled_action_v1","language_tag":"hi","loss_report":[],"meaning_digest":"sha256:e17409fbe41f5cd96bed2c8f4a614ddc920080a7d1188039e656ecb5f3d26781","method":"pinned_algorithm","text":"दरवाज़ा खोलो"},"tl":{"language_profile_id":"human.tl.controlled_action_v1","language_tag":"tl","loss_report":[],"meaning_digest":"sha256:e17409fbe41f5cd96bed2c8f4a614ddc920080a7d1188039e656ecb5f3d26781","method":"pinned_algorithm","text":"Buksan ang pinto"},"zh-Hans":{"language_profile_id":"human.zh_hans.controlled_action_v1","language_tag":"zh-Hans","loss_report":[],"meaning_digest":"sha256:e17409fbe41f5cd96bed2c8f4a614ddc920080a7d1188039e656ecb5f3d26781","method":"pinned_algorithm","text":"打开门"}}}
+{"frame_id":"pour__water","profile_bundle_digest":"sha256:43f02476a7e74716b425b9536abd5def4444c86d7861fdcac484ac1dafe9c40e","release_status":"synthetic_conformance_not_translation_gold","schema_version":"1.0.0","semantic_frame":{"patient_concept_id":"water","predicate_concept_id":"pour","speech_act":"directive"},"source":{"language_profile_id":"human.en.controlled_action_v1","language_tag":"en","text":"pour the water"},"surfaces":{"en":{"language_profile_id":"human.en.controlled_action_v1","language_tag":"en","loss_report":[],"meaning_digest":"sha256:809b937529afc758dde1e8a38f1cf0096b7786ede6393337a9b7f741d138bfb2","method":"source","text":"pour the water"},"es":{"language_profile_id":"human.es.controlled_action_v1","language_tag":"es","loss_report":[],"meaning_digest":"sha256:809b937529afc758dde1e8a38f1cf0096b7786ede6393337a9b7f741d138bfb2","method":"pinned_algorithm","text":"Vierte el agua"},"hi":{"language_profile_id":"human.hi.controlled_action_v1","language_tag":"hi","loss_report":[],"meaning_digest":"sha256:809b937529afc758dde1e8a38f1cf0096b7786ede6393337a9b7f741d138bfb2","method":"pinned_algorithm","text":"पानी उंडेलो"},"tl":{"language_profile_id":"human.tl.controlled_action_v1","language_tag":"tl","loss_report":[],"meaning_digest":"sha256:809b937529afc758dde1e8a38f1cf0096b7786ede6393337a9b7f741d138bfb2","method":"pinned_algorithm","text":"Ibuhos ang tubig"},"zh-Hans":{"language_profile_id":"human.zh_hans.controlled_action_v1","language_tag":"zh-Hans","loss_report":[],"meaning_digest":"sha256:809b937529afc758dde1e8a38f1cf0096b7786ede6393337a9b7f741d138bfb2","method":"pinned_algorithm","text":"倒水"}}}

data/label-languages-v1.json

@@ -0,0 +1,1056 @@
+{
+  "$schema": "../schemas/label-language-profile.schema.json",
+  "schema_version": "1.1.0",
+  "bundle_id": "egobowwow-label-languages-v1.1",
+  "interlingua_id": "machine.deconstructed_english_v1",
+  "design_contract": {
+    "translation_shape": "source label -> Universal Label Semantics -> target projection",
+    "native_preservation": "The complete source record and its digest are retained in every translation envelope.",
+    "grounding_invariant": "Environment, frames/clocks, agents/hands, entities, relations, procedure, modalities, typed assertions, uncertainty, and provenance are language-independent and must be projected exactly or reported as loss.",
+    "abstention": "An unresolved predicate remains unmapped; a target quota or desired class never supplies missing evidence.",
+    "teacher_authority": "Teacher output is a proposal that requires independent review and cannot certify its own mapping.",
+    "mapping_relations": [
+      "exact_match",
+      "close_match",
+      "broad_match",
+      "narrow_match",
+      "related_match",
+      "composite",
+      "contextual",
+      "unmapped"
+    ]
+  },
+  "teacher_rubric": {
+    "decision_order": [
+      "Does the cited label itself identify an observable action predicate?",
+      "Which candidate preserves the action rather than merely the scene, object, or dataset theme?",
+      "Are patient, instrument, source, destination, goal, state, hand, and temporal roles kept distinct?",
+      "Would the proposal add, omit, broaden, or narrow meaning?",
+      "If more than one concept remains plausible, abstain."
+    ],
+    "required_checks": [
+      "semantic_accuracy",
+      "terminology",
+      "role_preservation",
+      "temporal_scope",
+      "goal_and_state_preservation",
+      "grounded_world_evidence_preservation",
+      "speech_and_locale_preservation",
+      "provenance",
+      "round_trip_recoverability"
+    ],
+    "forbidden_shortcuts": [
+      "infer from dataset title",
+      "infer activity from setting alone",
+      "invent an unobserved object, goal, state, or outcome",
+      "force a mapping to fill a coverage deficit",
+      "treat a broad match as exact",
+      "translate or mutate coordinates, laterality, object state, action vectors, uncertainty, or provenance as prose",
+      "overwrite the preserved native label"
+    ]
+  },
+  "label_only_predicate_concepts": {
+    "open": "Change a container, door, lid, or barrier from a closed state to an open state.",
+    "close": "Change a container, door, lid, or barrier from an open state to a closed state."
+  },
+  "entity_concepts": {
+    "box": "A portable box or container.",
+    "door": "A movable barrier used to open or close an entrance or container.",
+    "plate": "A plate or shallow dish used for food service.",
+    "towel": "An absorbent textile towel.",
+    "water": "Water as a handled or transferred substance."
+  },
+  "controlled_frames": [
+    {"predicate_concept_id": "fold", "patient_concept_id": "towel"},
+    {"predicate_concept_id": "open", "patient_concept_id": "box"},
+    {"predicate_concept_id": "open", "patient_concept_id": "door"},
+    {"predicate_concept_id": "close", "patient_concept_id": "box"},
+    {"predicate_concept_id": "close", "patient_concept_id": "door"},
+    {"predicate_concept_id": "pour", "patient_concept_id": "water"}
+  ],
+  "label_languages": [
+    {
+      "language_id": "egobowwow.uls_v1",
+      "title": "Universal Label Semantics 1.1",
+      "family": "semantic_event_graph",
+      "source_ids": [],
+      "native_units": [
+        "event predicate and semantic roles",
+        "goal/task",
+        "before/after state",
+        "outcome/error/correctness",
+        "half-open nanosecond interval",
+        "verbatim speech, BCP-47-shaped language tag, and grammatical features",
+        "grounded environment, frames, agents/hands, entities, relations, procedure, modalities, and typed assertions",
+        "source preservation capsule"
+      ],
+      "annotation_rubric": "Represent only evidence present in the source; keep absent and unknown distinct; retain the source record even when the target projection is lossy.",
+      "known_loss_hazards": [],
+      "canonical_semantics": true,
+      "input_bindings": {},
+      "output_bindings": {},
+      "lexicalizations": {}
+    },
+    {
+      "language_id": "machine.deconstructed_english_v1",
+      "title": "Deconstructed English transport packet v1",
+      "family": "semantic_event_graph",
+      "source_ids": [],
+      "native_units": [
+        "world semantics",
+        "communicative semantics",
+        "exact source expression evidence",
+        "residual feature ledger",
+        "target realization ledger"
+      ],
+      "annotation_rubric": "Use English-readable keys only as machine notation. Preserve world claims, communicative claims, and source expression evidence in separate typed layers; verify both semantic and information digests on ingest.",
+      "known_loss_hazards": [
+        "the controlled event graph does not yet represent every grammatical distinction",
+        "semantic equality is narrower than information equality",
+        "a localized surface is a projection and is never canonical authority"
+      ],
+      "canonical_semantics": true,
+      "input_bindings": {},
+      "output_bindings": {},
+      "lexicalizations": {}
+    },
+    {
+      "language_id": "epic_kitchens.action_segment_v1",
+      "title": "EPIC-KITCHENS-100 action segment",
+      "family": "verb_noun_temporal_segment",
+      "source_ids": ["epic_kitchens_100"],
+      "evidence_urls": [
+        "https://github.com/epic-kitchens/epic-kitchens-100-annotations"
+      ],
+      "native_units": [
+        "narration",
+        "one verb class",
+        "one primary noun class plus all nouns",
+        "action start/stop timestamps"
+      ],
+      "annotation_rubric": "Action boundaries and verb/noun classes are grounded in participant narrations; narration time and action boundaries are distinct fields.",
+      "known_loss_hazards": [
+        "verb+noun does not encode the goal or resulting object state",
+        "the primary noun can hide additional participants",
+        "class IDs are vocabulary-version local",
+        "narration timestamp is not always an action timestamp"
+      ],
+      "default_language_tag": "en",
+      "default_speech_act": "action_label",
+      "closed_predicate_vocabulary": true,
+      "input_bindings": {
+        "predicate": {"paths": ["verb_class_key", "verb"], "mode": "first"},
+        "patients": {"paths": ["noun_class_key", "all_nouns", "noun"], "mode": "first"},
+        "raw_text": {"paths": ["narration"], "mode": "first"},
+        "start_ns": {"paths": ["start_ns"], "mode": "first"},
+        "end_ns": {"paths": ["end_ns"], "mode": "first"},
+        "grounding": {"paths": ["grounding"], "mode": "first"}
+      },
+      "preserved_only_fields": [
+        "narration_id",
+        "participant_id",
+        "video_id",
+        "narration_timestamp",
+        "start_timestamp",
+        "stop_timestamp",
+        "start_frame",
+        "stop_frame",
+        "verb_class",
+        "noun_class",
+        "all_noun_classes"
+      ],
+      "output_bindings": {
+        "verb": {"slot": "predicate", "mode": "scalar"},
+        "noun": {"slot": "patients", "mode": "scalar"},
+        "all_nouns": {"slot": "patients", "mode": "list"},
+        "narration": {"slot": "raw_text", "mode": "text"},
+        "start_ns": {"slot": "start_ns", "mode": "scalar"},
+        "end_ns": {"slot": "end_ns", "mode": "scalar"},
+        "grounding": {"slot": "grounding", "mode": "scalar"}
+      },
+      "lexicalizations": {
+        "pick_place": "take",
+        "place": "put",
+        "open": "open",
+        "close": "close",
+        "insert_remove": "take-out"
+      }
+    },
+    {
+      "language_id": "h2o.action_v1",
+      "title": "H2O framewise action label",
+      "family": "closed_verb_noun_frame_label",
+      "source_ids": ["h2o"],
+      "evidence_urls": [
+        "https://openaccess.thecvf.com/content/ICCV2021/papers/Kwon_H2O_Two_Hands_Manipulating_Objects_for_First_Person_Interaction_Recognition_ICCV_2021_paper.pdf"
+      ],
+      "native_units": [
+        "one of 11 verbs",
+        "one of 8 object nouns",
+        "one non-overlapping action class per frame",
+        "left/right hand pose and 6D object pose in parallel annotations"
+      ],
+      "annotation_rubric": "Exactly one verb-noun action label applies to each labeled frame; action classes do not overlap.",
+      "known_loss_hazards": [
+        "the action label does not itself identify which hand performs which role",
+        "the closed object vocabulary cannot express open-world objects",
+        "simultaneous actions are excluded by construction"
+      ],
+      "default_language_tag": "en",
+      "default_speech_act": "action_label",
+      "closed_predicate_vocabulary": true,
+      "input_bindings": {
+        "predicate": {"paths": ["verb"], "mode": "first"},
+        "patients": {"paths": ["noun"], "mode": "first"},
+        "hands": {"paths": ["hands"], "mode": "collect"},
+        "start_ns": {"paths": ["start_ns"], "mode": "first"},
+        "end_ns": {"paths": ["end_ns"], "mode": "first"},
+        "grounding": {"paths": ["grounding"], "mode": "first"}
+      },
+      "preserved_only_fields": ["action_class", "frame_start", "frame_end"],
+      "output_bindings": {
+        "verb": {"slot": "predicate", "mode": "scalar"},
+        "noun": {"slot": "patients", "mode": "scalar"},
+        "hands": {"slot": "hands", "mode": "list"},
+        "start_ns": {"slot": "start_ns", "mode": "scalar"},
+        "end_ns": {"slot": "end_ns", "mode": "scalar"},
+        "grounding": {"slot": "grounding", "mode": "scalar"}
+      },
+      "lexicalizations": {
+        "pick_place": "grab",
+        "place": "place",
+        "open": "open",
+        "insert_remove": "take out",
+        "pour": "pour",
+        "press": "squeeze"
+      }
+    },
+    {
+      "language_id": "assembly101.fine_action_v1",
+      "title": "Assembly101 fine action and mistake label",
+      "family": "procedural_verb_multi_object_error_segment",
+      "source_ids": ["assembly101", "assembly101_ego"],
+      "evidence_urls": [
+        "https://assembly-101.github.io/assets/Assembly101.pdf",
+        "https://github.com/assembly-101/assembly101-mistake-detection"
+      ],
+      "native_units": [
+        "fine action from 24 verbs and 90 objects",
+        "coarse procedural action",
+        "start/end interval",
+        "correct, mistake, or correction status and optional remark"
+      ],
+      "annotation_rubric": "Fine and coarse action layers remain distinct; mistake/correction labels depend on procedure order and object relation, not just the verb.",
+      "known_loss_hazards": [
+        "flattening coarse and fine labels destroys procedure hierarchy",
+        "object order can encode different semantic roles",
+        "mistake versus correction depends on prior actions",
+        "some actions overlap"
+      ],
+      "default_language_tag": "en",
+      "closed_predicate_vocabulary": true,
+      "input_bindings": {
+        "predicate": {"paths": ["verb"], "mode": "first"},
+        "patients": {"paths": ["objects", "this", "that"], "mode": "collect"},
+        "task": {"paths": ["coarse_action"], "mode": "first"},
+        "correctness": {"paths": ["label"], "mode": "first"},
+        "error": {"paths": ["remark"], "mode": "first"},
+        "start_ns": {"paths": ["start_ns"], "mode": "first"},
+        "end_ns": {"paths": ["end_ns"], "mode": "first"},
+        "grounding": {"paths": ["grounding"], "mode": "first"}
+      },
+      "preserved_only_fields": ["fine_action_id", "coarse_action_id", "object_ids"],
+      "output_bindings": {
+        "verb": {"slot": "predicate", "mode": "scalar"},
+        "objects": {"slot": "patients", "mode": "list"},
+        "coarse_action": {"slot": "task", "mode": "scalar"},
+        "label": {"slot": "correctness", "mode": "scalar"},
+        "remark": {"slot": "error", "mode": "scalar"},
+        "start_ns": {"slot": "start_ns", "mode": "scalar"},
+        "end_ns": {"slot": "end_ns", "mode": "scalar"},
+        "grounding": {"slot": "grounding", "mode": "scalar"}
+      },
+      "lexicalizations": {
+        "fasten_unfasten": "attach",
+        "insert_remove": "detach",
+        "align": "align",
+        "inspect": "check"
+      }
+    },
+    {
+      "language_id": "ego4d.narration_v1",
+      "title": "Ego4D dense narration",
+      "family": "open_text_point_narration",
+      "source_ids": ["ego4d"],
+      "evidence_urls": [
+        "https://ego4d-data.org/docs/data/annotation-guidelines/",
+        "https://ego4d-data.org/docs/data/annotations-schemas/"
+      ],
+      "native_units": [
+        "dense English written narration",
+        "narration timestamp",
+        "video summary",
+        "annotator provenance"
+      ],
+      "annotation_rubric": "Narrations describe visible activity densely in English; a point narration must not be silently treated as an action boundary.",
+      "known_loss_hazards": [
+        "open text has no guaranteed closed predicate or object class",
+        "narration time is not an interval",
+        "surface voice and specificity are lost by closed-class projection"
+      ],
+      "default_language_tag": "en",
+      "shallow_text_parse": true,
+      "input_bindings": {
+        "raw_text": {"paths": ["narration_text", "narration"], "mode": "first"},
+        "language_tag": {"paths": ["language_tag"], "mode": "first"},
+        "speech_act": {"paths": ["speech_act"], "mode": "first"},
+        "register": {"paths": ["register"], "mode": "first"},
+        "grounding": {"paths": ["grounding"], "mode": "first"}
+      },
+      "preserved_only_fields": ["timestamp_sec", "timestamp_frame", "annotator_uid", "video_uid"],
+      "output_bindings": {
+        "narration_text": {"slot": "raw_text", "mode": "text"},
+        "language_tag": {"slot": "language_tag", "mode": "scalar"},
+        "speech_act": {"slot": "speech_act", "mode": "scalar"},
+        "register": {"slot": "register", "mode": "scalar"},
+        "grounding": {"slot": "grounding", "mode": "scalar"}
+      },
+      "lexicalizations": {}
+    },
+    {
+      "language_id": "ego4d.moment_v1",
+      "title": "Ego4D Moments Query activity window",
+      "family": "high_level_activity_temporal_window",
+      "source_ids": ["ego4d"],
+      "evidence_urls": [
+        "https://ego4d-data.org/docs/benchmarks/episodic-memory/"
+      ],
+      "native_units": [
+        "one high-level activity from a 110-activity taxonomy",
+        "temporal start/end window",
+        "primary-label flag"
+      ],
+      "annotation_rubric": "Localize every visible occurrence of a supplied high-level moment taxonomy label; the moment is broader than an atomic hand action.",
+      "known_loss_hazards": [
+        "a moment label can encompass many atomic actions",
+        "mapping the moment name to one skill fabricates granularity",
+        "primary is a benchmark-use flag, not semantic truth"
+      ],
+      "default_language_tag": "en",
+      "closed_predicate_vocabulary": true,
+      "input_bindings": {
+        "goal": {"paths": ["label"], "mode": "first"},
+        "start_ns": {"paths": ["start_ns"], "mode": "first"},
+        "end_ns": {"paths": ["end_ns"], "mode": "first"},
+        "grounding": {"paths": ["grounding"], "mode": "first"}
+      },
+      "preserved_only_fields": ["primary", "annotator_uid"],
+      "output_bindings": {
+        "label": {"slot": "goal", "mode": "scalar"},
+        "start_ns": {"slot": "start_ns", "mode": "scalar"},
+        "end_ns": {"slot": "end_ns", "mode": "scalar"},
+        "grounding": {"slot": "grounding", "mode": "scalar"}
+      },
+      "lexicalizations": {}
+    },
+    {
+      "language_id": "hd_epic.narrated_action_v1",
+      "title": "HD-EPIC narrated fine action",
+      "family": "open_narration_roles_manner_purpose_segment",
+      "source_ids": ["hd_epic"],
+      "evidence_urls": [
+        "https://hd-epic.github.io/site/",
+        "https://openaccess.thecvf.com/content/CVPR2025/papers/Perrett_HD-EPIC_A_Highly-Detailed_Egocentric_Video_Dataset_CVPR_2025_paper.pdf"
+      ],
+      "native_units": [
+        "manually checked narration",
+        "precise action boundaries",
+        "parsed verbs, nouns, hands, how, and why clauses",
+        "recipe/preparation hierarchy",
+        "audio and object-motion annotations"
+      ],
+      "annotation_rubric": "Preserve open narration and its parsed verb, noun, hand, manner, and purpose layers; linked modalities remain parallel evidence rather than one flattened label.",
+      "known_loss_hazards": [
+        "verb-noun projection drops how and why",
+        "recipe step and fine action have different granularity",
+        "audio event and visible action boundaries need not coincide"
+      ],
+      "default_language_tag": "en",
+      "shallow_text_parse": true,
+      "input_bindings": {
+        "predicate": {"paths": ["verb"], "mode": "first"},
+        "patients": {"paths": ["nouns", "noun"], "mode": "first"},
+        "hands": {"paths": ["hands"], "mode": "collect"},
+        "manner": {"paths": ["how"], "mode": "first"},
+        "purpose": {"paths": ["why"], "mode": "first"},
+        "task": {"paths": ["recipe_step"], "mode": "first"},
+        "raw_text": {"paths": ["narration"], "mode": "first"},
+        "start_ns": {"paths": ["start_ns"], "mode": "first"},
+        "end_ns": {"paths": ["end_ns"], "mode": "first"},
+        "grounding": {"paths": ["grounding"], "mode": "first"}
+      },
+      "preserved_only_fields": ["verb_cluster", "noun_clusters", "audio_links", "motion_links"],
+      "output_bindings": {
+        "verb": {"slot": "predicate", "mode": "scalar"},
+        "nouns": {"slot": "patients", "mode": "list"},
+        "hands": {"slot": "hands", "mode": "list"},
+        "how": {"slot": "manner", "mode": "scalar"},
+        "why": {"slot": "purpose", "mode": "scalar"},
+        "recipe_step": {"slot": "task", "mode": "scalar"},
+        "narration": {"slot": "raw_text", "mode": "text"},
+        "start_ns": {"slot": "start_ns", "mode": "scalar"},
+        "end_ns": {"slot": "end_ns", "mode": "scalar"},
+        "grounding": {"slot": "grounding", "mode": "scalar"}
+      },
+      "lexicalizations": {}
+    },
+    {
+      "language_id": "captaincook4d.step_v1",
+      "title": "CaptainCook4D procedural step and error",
+      "family": "hierarchical_procedure_step_error",
+      "source_ids": ["captaincook4d"],
+      "evidence_urls": [
+        "https://captaincook4d.github.io/captain-cook/",
+        "https://proceedings.neurips.cc/paper_files/paper/2024/file/f4a04396c2ed1342a5d8d05e94cb6101-Paper-Datasets_and_Benchmarks_Track.pdf"
+      ],
+      "native_units": [
+        "recipe step interval",
+        "fine action intervals on a subset",
+        "error category and free-text description",
+        "normal/error execution type",
+        "recipe task graph"
+      ],
+      "annotation_rubric": "A coarse step can contain precondition, core, and postcondition actions; errors are linked to the step and reviewed by a second annotator.",
+      "known_loss_hazards": [
+        "step text is not equivalent to one atomic action",
+        "error categories require instruction-relative context",
+        "flattening the task graph loses valid order constraints",
+        "fine-action coverage is partial"
+      ],
+      "default_language_tag": "en",
+      "shallow_text_parse": true,
+      "input_bindings": {
+        "goal": {"paths": ["step_description"], "mode": "first"},
+        "raw_text": {"paths": ["step_description"], "mode": "first"},
+        "correctness": {"paths": ["execution_type"], "mode": "first"},
+        "error": {"paths": ["error_category", "error_description"], "mode": "collect"},
+        "start_ns": {"paths": ["start_ns"], "mode": "first"},
+        "end_ns": {"paths": ["end_ns"], "mode": "first"},
+        "grounding": {"paths": ["grounding"], "mode": "first"}
+      },
+      "preserved_only_fields": ["recipe_id", "step_id", "task_graph_predecessors"],
+      "output_bindings": {
+        "step_description": {"slot": "goal", "mode": "scalar"},
+        "execution_type": {"slot": "correctness", "mode": "scalar"},
+        "errors": {"slot": "error", "mode": "list"},
+        "start_ns": {"slot": "start_ns", "mode": "scalar"},
+        "end_ns": {"slot": "end_ns", "mode": "scalar"},
+        "grounding": {"slot": "grounding", "mode": "scalar"}
+      },
+      "lexicalizations": {}
+    },
+    {
+      "language_id": "industreal.action_state_v1",
+      "title": "IndustReal action, procedure step, and assembly state",
+      "family": "verb_noun_action_plus_component_state",
+      "source_ids": ["industreal"],
+      "evidence_urls": [
+        "https://github.com/timschoonbeek/industreal",
+        "https://openaccess.thecvf.com/content/WACV2024/papers/Schoonbeek_IndustReal_A_Dataset_for_Procedure_Step_Recognition_Handling_Execution_Errors_WACV_2024_paper.pdf"
+      ],
+      "native_units": [
+        "verb-noun action interval",
+        "procedure completion step",
+        "component state vector with incorrect/not-complete/correct values",
+        "object detection state annotations"
+      ],
+      "annotation_rubric": "Keep action recognition, completed procedure steps, and component assembly states separate; state values distinguish incorrect from not yet complete.",
+      "known_loss_hazards": [
+        "binary success collapses the -1/0/1 component state",
+        "step completion is a point/event distinct from the action interval",
+        "overlapping simultaneous actions occur",
+        "state meaning is component-index dependent"
+      ],
+      "default_language_tag": "en",
+      "closed_predicate_vocabulary": true,
+      "input_bindings": {
+        "predicate": {"paths": ["verb"], "mode": "first"},
+        "patients": {"paths": ["noun"], "mode": "first"},
+        "task": {"paths": ["procedure_step"], "mode": "first"},
+        "state_before": {"paths": ["state_before"], "mode": "first"},
+        "state_after": {"paths": ["state_after"], "mode": "first"},
+        "start_ns": {"paths": ["start_ns"], "mode": "first"},
+        "end_ns": {"paths": ["end_ns"], "mode": "first"},
+        "grounding": {"paths": ["grounding"], "mode": "first"}
+      },
+      "preserved_only_fields": ["action_id", "step_id", "component_index"],
+      "output_bindings": {
+        "verb": {"slot": "predicate", "mode": "scalar"},
+        "noun": {"slot": "patients", "mode": "scalar"},
+        "procedure_step": {"slot": "task", "mode": "scalar"},
+        "state_before": {"slot": "state_before", "mode": "scalar"},
+        "state_after": {"slot": "state_after", "mode": "scalar"},
+        "start_ns": {"slot": "start_ns", "mode": "scalar"},
+        "end_ns": {"slot": "end_ns", "mode": "scalar"},
+        "grounding": {"slot": "grounding", "mode": "scalar"}
+      },
+      "lexicalizations": {
+        "pick_place": "take",
+        "place": "put",
+        "align": "align",
+        "insert_remove": "plug",
+        "fasten_unfasten": "screw",
+        "inspect": "check"
+      }
+    },
+    {
+      "language_id": "human.en.controlled_action_v1",
+      "title": "English controlled action directive",
+      "family": "controlled_natural_language",
+      "source_ids": [],
+      "evidence_urls": [
+        "https://universaldependencies.org/en/index.html",
+        "https://www.w3.org/International/articles/language-tags/index.en"
+      ],
+      "native_units": [
+        "Unicode English action phrase",
+        "predicate-patient semantic frame",
+        "directive speech act and optional explicit grammatical features"
+      ],
+      "annotation_rubric": "Parse only reviewed controlled directives; preserve the exact source surface and abstain on unlisted predicates, entities, or constructions.",
+      "known_loss_hazards": [
+        "English articles do not map one-to-one to definiteness or case markers in other languages",
+        "imperative subjects are usually implicit",
+        "tense, aspect, modality, and politeness require explicit features outside the controlled phrase"
+      ],
+      "default_language_tag": "en",
+      "default_speech_act": "directive",
+      "closed_predicate_vocabulary": true,
+      "controlled_surface": {
+        "template": "{predicate} the {patient}",
+        "terminal_punctuation": "",
+        "realized_slots": ["predicate", "patients", "speech_act"]
+      },
+      "input_bindings": {
+        "raw_text": {"paths": ["text"], "mode": "first"},
+        "language_tag": {"paths": ["language_tag"], "mode": "first"},
+        "speech_act": {"paths": ["speech_act"], "mode": "first"},
+        "register": {"paths": ["register"], "mode": "first"},
+        "polarity": {"paths": ["polarity"], "mode": "first"},
+        "aspect": {"paths": ["aspect"], "mode": "first"},
+        "modality": {"paths": ["modality"], "mode": "first"},
+        "politeness": {"paths": ["politeness"], "mode": "first"},
+        "honorific": {"paths": ["honorific"], "mode": "first"},
+        "code_switch_spans": {"paths": ["code_switch_spans"], "mode": "collect"},
+        "grounding": {"paths": ["grounding"], "mode": "first"}
+      },
+      "output_bindings": {
+        "text": {"slot": "raw_text", "mode": "generated_text"},
+        "language_tag": {"slot": "language_tag", "mode": "scalar"},
+        "speech_act": {"slot": "speech_act", "mode": "scalar"},
+        "register": {"slot": "register", "mode": "scalar"},
+        "polarity": {"slot": "polarity", "mode": "scalar"},
+        "aspect": {"slot": "aspect", "mode": "scalar"},
+        "modality": {"slot": "modality", "mode": "scalar"},
+        "politeness": {"slot": "politeness", "mode": "scalar"},
+        "honorific": {"slot": "honorific", "mode": "scalar"},
+        "code_switch_spans": {"slot": "code_switch_spans", "mode": "list"},
+        "grounding": {"slot": "grounding", "mode": "scalar"}
+      },
+      "lexicalizations": {
+        "fold": "fold",
+        "open": "open",
+        "close": "close",
+        "pour": "pour"
+      },
+      "entity_lexicalizations": {
+        "box": "box",
+        "door": "door",
+        "plate": "plate",
+        "towel": "towel",
+        "water": "water"
+      }
+    },
+    {
+      "language_id": "human.zh_hans.controlled_action_v1",
+      "title": "Mandarin Chinese controlled action directive in Simplified script",
+      "family": "controlled_natural_language",
+      "source_ids": [],
+      "evidence_urls": [
+        "https://universaldependencies.org/zh/index.html",
+        "https://www.w3.org/International/articles/language-tags/index.en"
+      ],
+      "native_units": [
+        "Unicode Simplified Chinese action phrase",
+        "predicate-patient semantic frame without whitespace-dependent tokenization",
+        "directive speech act and optional explicit grammatical features"
+      ],
+      "annotation_rubric": "Use zh-Hans to identify script, parse only reviewed whole controlled phrases, and preserve particles, aspect, classifier, and politeness features when supplied.",
+      "known_loss_hazards": [
+        "Chinese script does not mark token boundaries with spaces",
+        "aspect particles such as 了 cannot be inferred from English tense",
+        "classifiers and omitted arguments cannot be generated without evidence",
+        "zh alone does not identify script or every Chinese language variety"
+      ],
+      "default_language_tag": "zh-Hans",
+      "default_speech_act": "directive",
+      "closed_predicate_vocabulary": true,
+      "controlled_surface": {
+        "template": "{predicate}{patient}",
+        "terminal_punctuation": "",
+        "realized_slots": ["predicate", "patients", "speech_act"]
+      },
+      "input_bindings": {
+        "raw_text": {"paths": ["text"], "mode": "first"},
+        "language_tag": {"paths": ["language_tag"], "mode": "first"},
+        "speech_act": {"paths": ["speech_act"], "mode": "first"},
+        "register": {"paths": ["register"], "mode": "first"},
+        "polarity": {"paths": ["polarity"], "mode": "first"},
+        "aspect": {"paths": ["aspect"], "mode": "first"},
+        "modality": {"paths": ["modality"], "mode": "first"},
+        "politeness": {"paths": ["politeness"], "mode": "first"},
+        "honorific": {"paths": ["honorific"], "mode": "first"},
+        "code_switch_spans": {"paths": ["code_switch_spans"], "mode": "collect"},
+        "grounding": {"paths": ["grounding"], "mode": "first"}
+      },
+      "output_bindings": {
+        "text": {"slot": "raw_text", "mode": "generated_text"},
+        "language_tag": {"slot": "language_tag", "mode": "scalar"},
+        "speech_act": {"slot": "speech_act", "mode": "scalar"},
+        "register": {"slot": "register", "mode": "scalar"},
+        "polarity": {"slot": "polarity", "mode": "scalar"},
+        "aspect": {"slot": "aspect", "mode": "scalar"},
+        "modality": {"slot": "modality", "mode": "scalar"},
+        "politeness": {"slot": "politeness", "mode": "scalar"},
+        "honorific": {"slot": "honorific", "mode": "scalar"},
+        "code_switch_spans": {"slot": "code_switch_spans", "mode": "list"},
+        "grounding": {"slot": "grounding", "mode": "scalar"}
+      },
+      "lexicalizations": {
+        "fold": "叠",
+        "open": "打开",
+        "close": "关闭",
+        "pour": "倒"
+      },
+      "entity_lexicalizations": {
+        "box": "盒子",
+        "door": "门",
+        "plate": "盘子",
+        "towel": "毛巾",
+        "water": "水"
+      }
+    },
+    {
+      "language_id": "human.hi.controlled_action_v1",
+      "title": "Hindi controlled action directive",
+      "family": "controlled_natural_language",
+      "source_ids": [],
+      "evidence_urls": [
+        "https://universaldependencies.org/hi/index.html",
+        "https://www.w3.org/TR/ltli/"
+      ],
+      "native_units": [
+        "Unicode Devanagari Hindi action phrase",
+        "patient-predicate semantic frame",
+        "directive speech act and optional explicit grammatical features"
+      ],
+      "annotation_rubric": "Respect Hindi object-before-verb order and whitespace tokenization; do not infer case, agreement, aspect, gender, or politeness outside reviewed forms.",
+      "known_loss_hazards": [
+        "Hindi controlled directives use patient-predicate order rather than English order",
+        "case and postpositions carry semantic roles",
+        "aspect and politeness can change verb morphology",
+        "gender and agreement cannot always be recovered from English"
+      ],
+      "default_language_tag": "hi",
+      "default_speech_act": "directive",
+      "closed_predicate_vocabulary": true,
+      "controlled_surface": {
+        "template": "{patient} {predicate}",
+        "terminal_punctuation": "",
+        "realized_slots": ["predicate", "patients", "speech_act"]
+      },
+      "input_bindings": {
+        "raw_text": {"paths": ["text"], "mode": "first"},
+        "language_tag": {"paths": ["language_tag"], "mode": "first"},
+        "speech_act": {"paths": ["speech_act"], "mode": "first"},
+        "register": {"paths": ["register"], "mode": "first"},
+        "polarity": {"paths": ["polarity"], "mode": "first"},
+        "aspect": {"paths": ["aspect"], "mode": "first"},
+        "modality": {"paths": ["modality"], "mode": "first"},
+        "politeness": {"paths": ["politeness"], "mode": "first"},
+        "honorific": {"paths": ["honorific"], "mode": "first"},
+        "code_switch_spans": {"paths": ["code_switch_spans"], "mode": "collect"},
+        "grounding": {"paths": ["grounding"], "mode": "first"}
+      },
+      "output_bindings": {
+        "text": {"slot": "raw_text", "mode": "generated_text"},
+        "language_tag": {"slot": "language_tag", "mode": "scalar"},
+        "speech_act": {"slot": "speech_act", "mode": "scalar"},
+        "register": {"slot": "register", "mode": "scalar"},
+        "polarity": {"slot": "polarity", "mode": "scalar"},
+        "aspect": {"slot": "aspect", "mode": "scalar"},
+        "modality": {"slot": "modality", "mode": "scalar"},
+        "politeness": {"slot": "politeness", "mode": "scalar"},
+        "honorific": {"slot": "honorific", "mode": "scalar"},
+        "code_switch_spans": {"slot": "code_switch_spans", "mode": "list"},
+        "grounding": {"slot": "grounding", "mode": "scalar"}
+      },
+      "lexicalizations": {
+        "fold": "मोड़ो",
+        "open": "खोलो",
+        "close": "बंद करो",
+        "pour": "उंडेलो"
+      },
+      "entity_lexicalizations": {
+        "box": "डिब्बा",
+        "door": "दरवाज़ा",
+        "plate": "प्लेट",
+        "towel": "तौलिया",
+        "water": "पानी"
+      }
+    },
+    {
+      "language_id": "human.tl.controlled_action_v1",
+      "title": "Tagalog controlled action directive",
+      "family": "controlled_natural_language",
+      "source_ids": [],
+      "evidence_urls": [
+        "https://universaldependencies.org/tl/index.html",
+        "https://www.w3.org/International/articles/language-tags/index.en"
+      ],
+      "native_units": [
+        "Unicode Tagalog action phrase",
+        "predicate plus ang-marked patient semantic frame",
+        "directive speech act and optional explicit grammatical features"
+      ],
+      "annotation_rubric": "Preserve Tagalog voice/focus and nominal markers; parse only reviewed patient-focus directives and never treat ang as an English-style disposable article.",
+      "known_loss_hazards": [
+        "Tagalog verbal voice selects a focused semantic role and is not ordinary active/passive",
+        "ang and related nominal markers encode case, role, topic, and definiteness information",
+        "verbs mark aspect rather than a simple English tense inventory",
+        "po and other particles carry honorific or discourse meaning"
+      ],
+      "default_language_tag": "tl",
+      "default_speech_act": "directive",
+      "closed_predicate_vocabulary": true,
+      "controlled_surface": {
+        "template": "{predicate} ang {patient}",
+        "terminal_punctuation": "",
+        "realized_slots": ["predicate", "patients", "speech_act"]
+      },
+      "input_bindings": {
+        "raw_text": {"paths": ["text"], "mode": "first"},
+        "language_tag": {"paths": ["language_tag"], "mode": "first"},
+        "speech_act": {"paths": ["speech_act"], "mode": "first"},
+        "register": {"paths": ["register"], "mode": "first"},
+        "polarity": {"paths": ["polarity"], "mode": "first"},
+        "aspect": {"paths": ["aspect"], "mode": "first"},
+        "modality": {"paths": ["modality"], "mode": "first"},
+        "politeness": {"paths": ["politeness"], "mode": "first"},
+        "honorific": {"paths": ["honorific"], "mode": "first"},
+        "code_switch_spans": {"paths": ["code_switch_spans"], "mode": "collect"},
+        "grounding": {"paths": ["grounding"], "mode": "first"}
+      },
+      "output_bindings": {
+        "text": {"slot": "raw_text", "mode": "generated_text"},
+        "language_tag": {"slot": "language_tag", "mode": "scalar"},
+        "speech_act": {"slot": "speech_act", "mode": "scalar"},
+        "register": {"slot": "register", "mode": "scalar"},
+        "polarity": {"slot": "polarity", "mode": "scalar"},
+        "aspect": {"slot": "aspect", "mode": "scalar"},
+        "modality": {"slot": "modality", "mode": "scalar"},
+        "politeness": {"slot": "politeness", "mode": "scalar"},
+        "honorific": {"slot": "honorific", "mode": "scalar"},
+        "code_switch_spans": {"slot": "code_switch_spans", "mode": "list"},
+        "grounding": {"slot": "grounding", "mode": "scalar"}
+      },
+      "lexicalizations": {
+        "fold": "Tiklupin",
+        "open": "Buksan",
+        "close": "Isara",
+        "pour": "Ibuhos"
+      },
+      "entity_lexicalizations": {
+        "box": "kahon",
+        "door": "pinto",
+        "plate": "plato",
+        "towel": "tuwalya",
+        "water": "tubig"
+      }
+    },
+    {
+      "language_id": "human.es.controlled_action_v1",
+      "title": "Spanish controlled familiar-singular action directive",
+      "family": "controlled_natural_language",
+      "source_ids": [],
+      "evidence_urls": [
+        "https://universaldependencies.org/es/index.html"
+      ],
+      "native_units": [
+        "Unicode Spanish action phrase",
+        "reviewed predicate and patient frame",
+        "affirmative familiar-singular directive"
+      ],
+      "annotation_rubric": "Parse only reviewed affirmative familiar-singular imperatives. Preserve pro-drop, person, number, register, clitics, negation, aspect, grammatical gender, and determiner evidence when present; never treat grammatical gender as world gender.",
+      "known_loss_hazards": [
+        "imperative morphology commits to addressee person, number, and register",
+        "Spanish permits pro-drop and clitic placement that change argument realization",
+        "el agua is grammatically feminine despite singular el before stressed initial a",
+        "regional register and leismo are outside this controlled profile"
+      ],
+      "default_language_tag": "es",
+      "default_speech_act": "directive",
+      "closed_predicate_vocabulary": true,
+      "controlled_surface": {
+        "template": "{predicate} {patient}",
+        "terminal_punctuation": "",
+        "realized_slots": ["predicate", "patients", "speech_act"]
+      },
+      "input_bindings": {
+        "raw_text": {"paths": ["text"], "mode": "first"},
+        "language_tag": {"paths": ["language_tag"], "mode": "first"},
+        "speech_act": {"paths": ["speech_act"], "mode": "first"},
+        "register": {"paths": ["register"], "mode": "first"},
+        "polarity": {"paths": ["polarity"], "mode": "first"},
+        "aspect": {"paths": ["aspect"], "mode": "first"},
+        "modality": {"paths": ["modality"], "mode": "first"},
+        "politeness": {"paths": ["politeness"], "mode": "first"},
+        "honorific": {"paths": ["honorific"], "mode": "first"},
+        "code_switch_spans": {"paths": ["code_switch_spans"], "mode": "collect"},
+        "grounding": {"paths": ["grounding"], "mode": "first"}
+      },
+      "output_bindings": {
+        "text": {"slot": "raw_text", "mode": "generated_text"},
+        "language_tag": {"slot": "language_tag", "mode": "scalar"},
+        "speech_act": {"slot": "speech_act", "mode": "scalar"},
+        "register": {"slot": "register", "mode": "scalar"},
+        "polarity": {"slot": "polarity", "mode": "scalar"},
+        "aspect": {"slot": "aspect", "mode": "scalar"},
+        "modality": {"slot": "modality", "mode": "scalar"},
+        "politeness": {"slot": "politeness", "mode": "scalar"},
+        "honorific": {"slot": "honorific", "mode": "scalar"},
+        "code_switch_spans": {"slot": "code_switch_spans", "mode": "list"},
+        "grounding": {"slot": "grounding", "mode": "scalar"}
+      },
+      "lexicalizations": {
+        "fold": "Dobla",
+        "open": "Abre",
+        "close": "Cierra",
+        "pour": "Vierte"
+      },
+      "entity_lexicalizations": {
+        "box": "la caja",
+        "door": "la puerta",
+        "plate": "el plato",
+        "towel": "la toalla",
+        "water": "el agua"
+      }
+    },
+    {
+      "language_id": "dataset.en.action_label_v1",
+      "title": "English controlled observed-action label",
+      "family": "controlled_dataset_label",
+      "source_ids": [],
+      "native_units": ["predicate-patient action-class label", "action_label speech act"],
+      "annotation_rubric": "Describe the observed action class in compact dataset-label form; never convert the classification into an instruction.",
+      "known_loss_hazards": ["a compact class label does not encode every participant, hand, state, goal, or temporal boundary"],
+      "default_language_tag": "en",
+      "default_speech_act": "action_label",
+      "closed_predicate_vocabulary": true,
+      "controlled_surface": {"template": "{predicate} {patient}", "terminal_punctuation": "", "realized_slots": ["predicate", "patients", "speech_act"]},
+      "input_bindings": {
+        "raw_text": {"paths": ["text"], "mode": "first"},
+        "language_tag": {"paths": ["language_tag"], "mode": "first"},
+        "speech_act": {"paths": ["speech_act"], "mode": "first"},
+        "grounding": {"paths": ["grounding"], "mode": "first"}
+      },
+      "output_bindings": {
+        "text": {"slot": "raw_text", "mode": "generated_text"},
+        "language_tag": {"slot": "language_tag", "mode": "scalar"},
+        "speech_act": {"slot": "speech_act", "mode": "scalar"},
+        "grounding": {"slot": "grounding", "mode": "scalar"}
+      },
+      "lexicalizations": {"fold": "fold", "open": "open", "close": "close", "pour": "pour"},
+      "entity_lexicalizations": {"box": "box", "door": "door", "plate": "plate", "towel": "towel", "water": "water"}
+    },
+    {
+      "language_id": "dataset.zh_hans.action_label_v1",
+      "title": "Simplified Chinese controlled observed-action label",
+      "family": "controlled_dataset_label",
+      "source_ids": [],
+      "native_units": ["predicate-patient action-class label", "action_label speech act"],
+      "annotation_rubric": "Use a compact zh-Hans observed-action label without imperative force; preserve the class semantics and exact source evidence separately.",
+      "known_loss_hazards": ["Chinese token boundaries are not whitespace marked", "a compact class label omits unexpressed hands, roles, states, goals, and timing"],
+      "default_language_tag": "zh-Hans",
+      "default_speech_act": "action_label",
+      "closed_predicate_vocabulary": true,
+      "controlled_surface": {"template": "{predicate}{patient}", "terminal_punctuation": "", "realized_slots": ["predicate", "patients", "speech_act"]},
+      "input_bindings": {
+        "raw_text": {"paths": ["text"], "mode": "first"},
+        "language_tag": {"paths": ["language_tag"], "mode": "first"},
+        "speech_act": {"paths": ["speech_act"], "mode": "first"},
+        "grounding": {"paths": ["grounding"], "mode": "first"}
+      },
+      "output_bindings": {
+        "text": {"slot": "raw_text", "mode": "generated_text"},
+        "language_tag": {"slot": "language_tag", "mode": "scalar"},
+        "speech_act": {"slot": "speech_act", "mode": "scalar"},
+        "grounding": {"slot": "grounding", "mode": "scalar"}
+      },
+      "lexicalizations": {"fold": "折叠", "open": "打开", "close": "关闭", "pour": "倒"},
+      "entity_lexicalizations": {"box": "盒子", "door": "门", "plate": "盘子", "towel": "毛巾", "water": "水"}
+    },
+    {
+      "language_id": "dataset.tl.action_label_v1",
+      "title": "Tagalog controlled observed-action label",
+      "family": "controlled_dataset_label",
+      "source_ids": [],
+      "native_units": ["nominalized action plus ng-marked patient", "action_label speech act"],
+      "annotation_rubric": "Use a nominal Tagalog dataset label so an observed class is not mistaken for a command; retain voice/focus information only when the source actually supplies it.",
+      "known_loss_hazards": ["Tagalog voice and focus distinctions may be absent from an English verb-noun source", "nominalized class labels do not identify the actor, hand, aspect, state, or timing"],
+      "default_language_tag": "tl",
+      "default_speech_act": "action_label",
+      "closed_predicate_vocabulary": true,
+      "controlled_surface": {"template": "{predicate} ng {patient}", "terminal_punctuation": "", "realized_slots": ["predicate", "patients", "speech_act"]},
+      "input_bindings": {
+        "raw_text": {"paths": ["text"], "mode": "first"},
+        "language_tag": {"paths": ["language_tag"], "mode": "first"},
+        "speech_act": {"paths": ["speech_act"], "mode": "first"},
+        "grounding": {"paths": ["grounding"], "mode": "first"}
+      },
+      "output_bindings": {
+        "text": {"slot": "raw_text", "mode": "generated_text"},
+        "language_tag": {"slot": "language_tag", "mode": "scalar"},
+        "speech_act": {"slot": "speech_act", "mode": "scalar"},
+        "grounding": {"slot": "grounding", "mode": "scalar"}
+      },
+      "lexicalizations": {"fold": "pagtitiklop", "open": "pagbukas", "close": "pagsara", "pour": "pagbuhos"},
+      "entity_lexicalizations": {"box": "kahon", "door": "pinto", "plate": "plato", "towel": "tuwalya", "water": "tubig"}
+    },
+    {
+      "language_id": "dataset.es.action_label_v1",
+      "title": "Spanish controlled observed-action label",
+      "family": "controlled_dataset_label",
+      "source_ids": [],
+      "native_units": ["infinitive predicate plus determined patient", "action_label speech act"],
+      "annotation_rubric": "Use an infinitive action-class label without imperative person or register; preserve the source class and unexpressed evidence separately.",
+      "known_loss_hazards": ["grammatical gender and determiners are realization features, not new world claims", "a compact class label omits hands, state, goal, and temporal evidence"],
+      "default_language_tag": "es",
+      "default_speech_act": "action_label",
+      "closed_predicate_vocabulary": true,
+      "controlled_surface": {"template": "{predicate} {patient}", "terminal_punctuation": "", "realized_slots": ["predicate", "patients", "speech_act"]},
+      "input_bindings": {
+        "raw_text": {"paths": ["text"], "mode": "first"},
+        "language_tag": {"paths": ["language_tag"], "mode": "first"},
+        "speech_act": {"paths": ["speech_act"], "mode": "first"},
+        "grounding": {"paths": ["grounding"], "mode": "first"}
+      },
+      "output_bindings": {
+        "text": {"slot": "raw_text", "mode": "generated_text"},
+        "language_tag": {"slot": "language_tag", "mode": "scalar"},
+        "speech_act": {"slot": "speech_act", "mode": "scalar"},
+        "grounding": {"slot": "grounding", "mode": "scalar"}
+      },
+      "lexicalizations": {"fold": "doblar", "open": "abrir", "close": "cerrar", "pour": "verter"},
+      "entity_lexicalizations": {"box": "la caja", "door": "la puerta", "plate": "el plato", "towel": "la toalla", "water": "el agua"}
+    }
+  ],
+  "lexical_mappings": [
+    {"rule_id": "lex.align", "source_language_id": "*", "source_lexeme": "align", "concept_id": "align", "mapping_relation": "exact_match"},
+    {"rule_id": "lex.attach", "source_language_id": "*", "source_lexeme": "attach", "concept_id": "fasten_unfasten", "mapping_relation": "broad_match"},
+    {"rule_id": "lex.check", "source_language_id": "*", "source_lexeme": "check", "concept_id": "inspect", "mapping_relation": "close_match"},
+    {"rule_id": "lex.chop", "source_language_id": "*", "source_lexeme": "chop", "concept_id": "cut", "mapping_relation": "narrow_match"},
+    {"rule_id": "lex.close", "source_language_id": "*", "source_lexeme": "close", "concept_id": "close", "mapping_relation": "exact_match"},
+    {"rule_id": "lex.cut", "source_language_id": "*", "source_lexeme": "cut", "concept_id": "cut", "mapping_relation": "exact_match"},
+    {"rule_id": "lex.detach", "source_language_id": "*", "source_lexeme": "detach", "concept_id": "fasten_unfasten", "mapping_relation": "broad_match"},
+    {"rule_id": "lex.fold", "source_language_id": "*", "source_lexeme": "fold", "concept_id": "fold", "mapping_relation": "exact_match"},
+    {"rule_id": "lex.grab", "source_language_id": "*", "source_lexeme": "grab", "concept_id": "pick_place", "mapping_relation": "broad_match"},
+    {"rule_id": "lex.load", "source_language_id": "*", "source_lexeme": "load", "concept_id": "load_unload", "mapping_relation": "broad_match"},
+    {"rule_id": "lex.open", "source_language_id": "*", "source_lexeme": "open", "concept_id": "open", "mapping_relation": "exact_match"},
+    {"rule_id": "lex.pick", "source_language_id": "*", "source_lexeme": "pick", "concept_id": "pick_place", "mapping_relation": "broad_match"},
+    {"rule_id": "lex.place", "source_language_id": "*", "source_lexeme": "place", "concept_id": "place", "mapping_relation": "exact_match"},
+    {"rule_id": "lex.plug", "source_language_id": "*", "source_lexeme": "plug", "concept_id": "insert_remove", "mapping_relation": "narrow_match"},
+    {"rule_id": "lex.pour", "source_language_id": "*", "source_lexeme": "pour", "concept_id": "pour", "mapping_relation": "exact_match"},
+    {"rule_id": "lex.put", "source_language_id": "*", "source_lexeme": "put", "concept_id": "place", "mapping_relation": "close_match"},
+    {"rule_id": "lex.put_in", "source_language_id": "*", "source_lexeme": "put in", "concept_id": "insert_remove", "mapping_relation": "narrow_match"},
+    {"rule_id": "lex.rinse", "source_language_id": "*", "source_lexeme": "rinse", "concept_id": "rinse", "mapping_relation": "exact_match"},
+    {"rule_id": "lex.scrub", "source_language_id": "*", "source_lexeme": "scrub", "concept_id": "scrub", "mapping_relation": "exact_match"},
+    {"rule_id": "lex.screw", "source_language_id": "*", "source_lexeme": "screw", "concept_id": "fasten_unfasten", "mapping_relation": "narrow_match"},
+    {"rule_id": "lex.slice", "source_language_id": "*", "source_lexeme": "slice", "concept_id": "cut", "mapping_relation": "narrow_match"},
+    {"rule_id": "lex.squeeze", "source_language_id": "*", "source_lexeme": "squeeze", "concept_id": "press", "mapping_relation": "narrow_match"},
+    {"rule_id": "lex.take", "source_language_id": "*", "source_lexeme": "take", "concept_id": "pick_place", "mapping_relation": "broad_match"},
+    {"rule_id": "lex.take_out", "source_language_id": "*", "source_lexeme": "take out", "concept_id": "insert_remove", "mapping_relation": "narrow_match"},
+    {"rule_id": "lex.unload", "source_language_id": "*", "source_lexeme": "unload", "concept_id": "load_unload", "mapping_relation": "broad_match"},
+    {"rule_id": "lex.wipe", "source_language_id": "*", "source_lexeme": "wipe", "concept_id": "wipe", "mapping_relation": "exact_match"},
+    {"rule_id": "lex.zh.fold", "source_language_id": "human.zh_hans.controlled_action_v1", "source_lexeme": "叠", "concept_id": "fold", "mapping_relation": "exact_match"},
+    {"rule_id": "lex.zh.open", "source_language_id": "human.zh_hans.controlled_action_v1", "source_lexeme": "打开", "concept_id": "open", "mapping_relation": "exact_match"},
+    {"rule_id": "lex.zh.close", "source_language_id": "human.zh_hans.controlled_action_v1", "source_lexeme": "关闭", "concept_id": "close", "mapping_relation": "exact_match"},
+    {"rule_id": "lex.zh.pour", "source_language_id": "human.zh_hans.controlled_action_v1", "source_lexeme": "倒", "concept_id": "pour", "mapping_relation": "exact_match"},
+    {"rule_id": "lex.hi.fold", "source_language_id": "human.hi.controlled_action_v1", "source_lexeme": "मोड़ो", "concept_id": "fold", "mapping_relation": "exact_match"},
+    {"rule_id": "lex.hi.open", "source_language_id": "human.hi.controlled_action_v1", "source_lexeme": "खोलो", "concept_id": "open", "mapping_relation": "exact_match"},
+    {"rule_id": "lex.hi.close", "source_language_id": "human.hi.controlled_action_v1", "source_lexeme": "बंद करो", "concept_id": "close", "mapping_relation": "exact_match"},
+    {"rule_id": "lex.hi.pour", "source_language_id": "human.hi.controlled_action_v1", "source_lexeme": "उंडेलो", "concept_id": "pour", "mapping_relation": "exact_match"},
+    {"rule_id": "lex.tl.fold", "source_language_id": "human.tl.controlled_action_v1", "source_lexeme": "Tiklupin", "concept_id": "fold", "mapping_relation": "exact_match"},
+    {"rule_id": "lex.tl.open", "source_language_id": "human.tl.controlled_action_v1", "source_lexeme": "Buksan", "concept_id": "open", "mapping_relation": "exact_match"},
+    {"rule_id": "lex.tl.close", "source_language_id": "human.tl.controlled_action_v1", "source_lexeme": "Isara", "concept_id": "close", "mapping_relation": "exact_match"},
+    {"rule_id": "lex.tl.pour", "source_language_id": "human.tl.controlled_action_v1", "source_lexeme": "Ibuhos", "concept_id": "pour", "mapping_relation": "exact_match"}
+    ,{"rule_id": "lex.es.fold", "source_language_id": "human.es.controlled_action_v1", "source_lexeme": "Dobla", "concept_id": "fold", "mapping_relation": "exact_match"}
+    ,{"rule_id": "lex.es.open", "source_language_id": "human.es.controlled_action_v1", "source_lexeme": "Abre", "concept_id": "open", "mapping_relation": "exact_match"}
+    ,{"rule_id": "lex.es.close", "source_language_id": "human.es.controlled_action_v1", "source_lexeme": "Cierra", "concept_id": "close", "mapping_relation": "exact_match"}
+    ,{"rule_id": "lex.es.pour", "source_language_id": "human.es.controlled_action_v1", "source_lexeme": "Vierte", "concept_id": "pour", "mapping_relation": "exact_match"}
+    ,{"rule_id": "lex.dataset.zh.fold", "source_language_id": "dataset.zh_hans.action_label_v1", "source_lexeme": "折叠", "concept_id": "fold", "mapping_relation": "exact_match"}
+    ,{"rule_id": "lex.dataset.zh.open", "source_language_id": "dataset.zh_hans.action_label_v1", "source_lexeme": "打开", "concept_id": "open", "mapping_relation": "exact_match"}
+    ,{"rule_id": "lex.dataset.zh.close", "source_language_id": "dataset.zh_hans.action_label_v1", "source_lexeme": "关闭", "concept_id": "close", "mapping_relation": "exact_match"}
+    ,{"rule_id": "lex.dataset.zh.pour", "source_language_id": "dataset.zh_hans.action_label_v1", "source_lexeme": "倒", "concept_id": "pour", "mapping_relation": "exact_match"}
+    ,{"rule_id": "lex.dataset.tl.fold", "source_language_id": "dataset.tl.action_label_v1", "source_lexeme": "pagtitiklop", "concept_id": "fold", "mapping_relation": "exact_match"}
+    ,{"rule_id": "lex.dataset.tl.open", "source_language_id": "dataset.tl.action_label_v1", "source_lexeme": "pagbukas", "concept_id": "open", "mapping_relation": "exact_match"}
+    ,{"rule_id": "lex.dataset.tl.close", "source_language_id": "dataset.tl.action_label_v1", "source_lexeme": "pagsara", "concept_id": "close", "mapping_relation": "exact_match"}
+    ,{"rule_id": "lex.dataset.tl.pour", "source_language_id": "dataset.tl.action_label_v1", "source_lexeme": "pagbuhos", "concept_id": "pour", "mapping_relation": "exact_match"}
+    ,{"rule_id": "lex.dataset.es.fold", "source_language_id": "dataset.es.action_label_v1", "source_lexeme": "doblar", "concept_id": "fold", "mapping_relation": "exact_match"}
+    ,{"rule_id": "lex.dataset.es.open", "source_language_id": "dataset.es.action_label_v1", "source_lexeme": "abrir", "concept_id": "open", "mapping_relation": "exact_match"}
+    ,{"rule_id": "lex.dataset.es.close", "source_language_id": "dataset.es.action_label_v1", "source_lexeme": "cerrar", "concept_id": "close", "mapping_relation": "exact_match"}
+    ,{"rule_id": "lex.dataset.es.pour", "source_language_id": "dataset.es.action_label_v1", "source_lexeme": "verter", "concept_id": "pour", "mapping_relation": "exact_match"}
+  ],
+  "entity_lexical_mappings": [
+    {"rule_id": "entity.box", "source_language_id": "*", "source_lexeme": "box", "concept_id": "box", "mapping_relation": "exact_match"},
+    {"rule_id": "entity.door", "source_language_id": "*", "source_lexeme": "door", "concept_id": "door", "mapping_relation": "exact_match"},
+    {"rule_id": "entity.plate", "source_language_id": "*", "source_lexeme": "plate", "concept_id": "plate", "mapping_relation": "exact_match"},
+    {"rule_id": "entity.towel", "source_language_id": "*", "source_lexeme": "towel", "concept_id": "towel", "mapping_relation": "exact_match"},
+    {"rule_id": "entity.water", "source_language_id": "*", "source_lexeme": "water", "concept_id": "water", "mapping_relation": "exact_match"},
+    {"rule_id": "entity.zh.box", "source_language_id": "human.zh_hans.controlled_action_v1", "source_lexeme": "盒子", "concept_id": "box", "mapping_relation": "exact_match"},
+    {"rule_id": "entity.zh.door", "source_language_id": "human.zh_hans.controlled_action_v1", "source_lexeme": "门", "concept_id": "door", "mapping_relation": "exact_match"},
+    {"rule_id": "entity.zh.plate", "source_language_id": "human.zh_hans.controlled_action_v1", "source_lexeme": "盘子", "concept_id": "plate", "mapping_relation": "exact_match"},
+    {"rule_id": "entity.zh.towel", "source_language_id": "human.zh_hans.controlled_action_v1", "source_lexeme": "毛巾", "concept_id": "towel", "mapping_relation": "exact_match"},
+    {"rule_id": "entity.zh.water", "source_language_id": "human.zh_hans.controlled_action_v1", "source_lexeme": "水", "concept_id": "water", "mapping_relation": "exact_match"},
+    {"rule_id": "entity.hi.box", "source_language_id": "human.hi.controlled_action_v1", "source_lexeme": "डिब्बा", "concept_id": "box", "mapping_relation": "exact_match"},
+    {"rule_id": "entity.hi.door", "source_language_id": "human.hi.controlled_action_v1", "source_lexeme": "दरवाज़ा", "concept_id": "door", "mapping_relation": "exact_match"},
+    {"rule_id": "entity.hi.plate", "source_language_id": "human.hi.controlled_action_v1", "source_lexeme": "प्लेट", "concept_id": "plate", "mapping_relation": "exact_match"},
+    {"rule_id": "entity.hi.towel", "source_language_id": "human.hi.controlled_action_v1", "source_lexeme": "तौलिया", "concept_id": "towel", "mapping_relation": "exact_match"},
+    {"rule_id": "entity.hi.water", "source_language_id": "human.hi.controlled_action_v1", "source_lexeme": "पानी", "concept_id": "water", "mapping_relation": "exact_match"},
+    {"rule_id": "entity.tl.box", "source_language_id": "human.tl.controlled_action_v1", "source_lexeme": "kahon", "concept_id": "box", "mapping_relation": "exact_match"},
+    {"rule_id": "entity.tl.door", "source_language_id": "human.tl.controlled_action_v1", "source_lexeme": "pinto", "concept_id": "door", "mapping_relation": "exact_match"},
+    {"rule_id": "entity.tl.plate", "source_language_id": "human.tl.controlled_action_v1", "source_lexeme": "plato", "concept_id": "plate", "mapping_relation": "exact_match"},
+    {"rule_id": "entity.tl.towel", "source_language_id": "human.tl.controlled_action_v1", "source_lexeme": "tuwalya", "concept_id": "towel", "mapping_relation": "exact_match"},
+    {"rule_id": "entity.tl.water", "source_language_id": "human.tl.controlled_action_v1", "source_lexeme": "tubig", "concept_id": "water", "mapping_relation": "exact_match"}
+    ,{"rule_id": "entity.es.box", "source_language_id": "human.es.controlled_action_v1", "source_lexeme": "la caja", "concept_id": "box", "mapping_relation": "exact_match"}
+    ,{"rule_id": "entity.es.door", "source_language_id": "human.es.controlled_action_v1", "source_lexeme": "la puerta", "concept_id": "door", "mapping_relation": "exact_match"}
+    ,{"rule_id": "entity.es.plate", "source_language_id": "human.es.controlled_action_v1", "source_lexeme": "el plato", "concept_id": "plate", "mapping_relation": "exact_match"}
+    ,{"rule_id": "entity.es.towel", "source_language_id": "human.es.controlled_action_v1", "source_lexeme": "la toalla", "concept_id": "towel", "mapping_relation": "exact_match"}
+    ,{"rule_id": "entity.es.water", "source_language_id": "human.es.controlled_action_v1", "source_lexeme": "el agua", "concept_id": "water", "mapping_relation": "exact_match"}
+    ,{"rule_id": "entity.dataset.zh.box", "source_language_id": "dataset.zh_hans.action_label_v1", "source_lexeme": "盒子", "concept_id": "box", "mapping_relation": "exact_match"}
+    ,{"rule_id": "entity.dataset.zh.door", "source_language_id": "dataset.zh_hans.action_label_v1", "source_lexeme": "门", "concept_id": "door", "mapping_relation": "exact_match"}
+    ,{"rule_id": "entity.dataset.zh.plate", "source_language_id": "dataset.zh_hans.action_label_v1", "source_lexeme": "盘子", "concept_id": "plate", "mapping_relation": "exact_match"}
+    ,{"rule_id": "entity.dataset.zh.towel", "source_language_id": "dataset.zh_hans.action_label_v1", "source_lexeme": "毛巾", "concept_id": "towel", "mapping_relation": "exact_match"}
+    ,{"rule_id": "entity.dataset.zh.water", "source_language_id": "dataset.zh_hans.action_label_v1", "source_lexeme": "水", "concept_id": "water", "mapping_relation": "exact_match"}
+    ,{"rule_id": "entity.dataset.tl.box", "source_language_id": "dataset.tl.action_label_v1", "source_lexeme": "kahon", "concept_id": "box", "mapping_relation": "exact_match"}
+    ,{"rule_id": "entity.dataset.tl.door", "source_language_id": "dataset.tl.action_label_v1", "source_lexeme": "pinto", "concept_id": "door", "mapping_relation": "exact_match"}
+    ,{"rule_id": "entity.dataset.tl.plate", "source_language_id": "dataset.tl.action_label_v1", "source_lexeme": "plato", "concept_id": "plate", "mapping_relation": "exact_match"}
+    ,{"rule_id": "entity.dataset.tl.towel", "source_language_id": "dataset.tl.action_label_v1", "source_lexeme": "tuwalya", "concept_id": "towel", "mapping_relation": "exact_match"}
+    ,{"rule_id": "entity.dataset.tl.water", "source_language_id": "dataset.tl.action_label_v1", "source_lexeme": "tubig", "concept_id": "water", "mapping_relation": "exact_match"}
+    ,{"rule_id": "entity.dataset.es.box", "source_language_id": "dataset.es.action_label_v1", "source_lexeme": "la caja", "concept_id": "box", "mapping_relation": "exact_match"}
+    ,{"rule_id": "entity.dataset.es.door", "source_language_id": "dataset.es.action_label_v1", "source_lexeme": "la puerta", "concept_id": "door", "mapping_relation": "exact_match"}
+    ,{"rule_id": "entity.dataset.es.plate", "source_language_id": "dataset.es.action_label_v1", "source_lexeme": "el plato", "concept_id": "plate", "mapping_relation": "exact_match"}
+    ,{"rule_id": "entity.dataset.es.towel", "source_language_id": "dataset.es.action_label_v1", "source_lexeme": "la toalla", "concept_id": "towel", "mapping_relation": "exact_match"}
+    ,{"rule_id": "entity.dataset.es.water", "source_language_id": "dataset.es.action_label_v1", "source_lexeme": "el agua", "concept_id": "water", "mapping_relation": "exact_match"}
+  ]
+}

data/world-model-label-audit-v1.json

@@ -0,0 +1,132 @@
+{
+  "$schema": "../schemas/world-model-label-audit.schema.json",
+  "schema_version": "1.0.0",
+  "audit_id": "egobowwow-world-model-label-audit-v1",
+  "researched_at": "2026-08-25",
+  "boundary": "Primary papers and official dataset/toolkit pages define evidence. The audit records published supervision, not inferred capabilities, downloaded rows, or acceptance evidence. A UniversalLabeler translation may change language surfaces but must preserve all grounded dimensions unless a target profile reports explicit loss.",
+  "universal_dimensions": [
+    {"dimension_id": "environment_context", "graph_paths": ["environment.site_context_id", "environment.physical_environment_id", "environment.scene_type_id", "environment.station_type_id"], "rubric": "Label social site context, indoor/outdoor exposure, scene, and work station independently; do not infer one axis from another."},
+    {"dimension_id": "environment_conditions", "graph_paths": ["environment.lighting_id", "environment.weather_id", "environment.clutter_id", "environment.material_state_ids"], "rubric": "Record only observable physical conditions; use explicit unknowns rather than title-based inference."},
+    {"dimension_id": "scene_geometry", "graph_paths": ["environment.map_artifact_id", "assertions[kind=mask_ref]", "assertions[kind=keypoints_3d]"], "rubric": "Bind maps, depth-derived geometry, or point clouds by content-addressed reference and named coordinate frame."},
+    {"dimension_id": "coordinate_calibration", "graph_paths": ["coordinate_frames"], "rubric": "Every metric 2D/3D value names its clock and coordinate frame; frame transforms bind a calibration digest."},
+    {"dimension_id": "time_sync", "graph_paths": ["modalities.clock_id", "assertions.interval", "assertions.timestamp_ns"], "rubric": "Use named synchronized clocks and integer nanoseconds with half-open intervals; frame indices are not time authority."},
+    {"dimension_id": "language", "graph_paths": ["speech", "modalities[kind=language]"], "rubric": "Keep verbatim text, language tag, speech act, register, manner, purpose, and grammatical features separate from grounded event semantics."},
+    {"dimension_id": "temporal_hierarchy", "graph_paths": ["event.temporal", "procedure.activity_category_id", "procedure.task_id", "procedure.step_id", "assertions[kind=temporal_span]"], "rubric": "Keep activity, task, step, atomic action, and sensor sample boundaries distinct and linked."},
+    {"dimension_id": "agent_identity_role", "graph_paths": ["agents.agent_id", "agents.agent_kind", "agents.role_ids"], "rubric": "Give each human or robot a stable event-local identity and explicit performer, instructor, observer, or platform role."},
+    {"dimension_id": "hand_laterality_role", "graph_paths": ["agents.hands.laterality", "agents.hands.role_ids"], "rubric": "Label left and right independently and distinguish acting, stabilizing, supporting, idle, and unknown roles."},
+    {"dimension_id": "hand_pose", "graph_paths": ["agents.hands.pose_label_keys", "assertions[kind=keypoints_2d]", "assertions[kind=keypoints_3d]", "assertions[kind=pose_3d]"], "rubric": "Pose claims require a handedness identity, model/layout, visibility, coordinate frame, timestamp, confidence, and uncertainty."},
+    {"dimension_id": "body_head_pose", "graph_paths": ["agents.body_pose_label_keys", "assertions[kind=keypoints_3d]", "assertions[kind=pose_3d]", "assertions[kind=trajectory_3d]"], "rubric": "Keep body/head geometry separate from action classes and preserve the source skeleton convention."},
+    {"dimension_id": "gaze", "graph_paths": ["agents.gaze_label_keys", "relations[predicate_id=gaze_at]", "modalities[kind=eye_gaze]"], "rubric": "Represent gaze as a timed geometric signal in a named frame; gaze-at-object is a separate derived relation."},
+    {"dimension_id": "object_identity_role", "graph_paths": ["entities.entity_id", "entities.category_id", "entities.role_ids"], "rubric": "Track object instances separately from categories and record patient, instrument, source, destination, support, and container roles."},
+    {"dimension_id": "object_geometry_pose", "graph_paths": ["entities.geometry_label_keys", "entities.pose_label_keys", "entities.trajectory_label_keys", "assertions[kind=box_2d]", "assertions[kind=mask_ref]", "assertions[kind=pose_3d]", "assertions[kind=trajectory_3d]"], "rubric": "Do not flatten boxes, masks, meshes, 6DoF poses, or trajectories into an object noun."},
+    {"dimension_id": "contact_spatial_relations", "graph_paths": ["relations", "agents.hands.contact_entity_ids", "assertions[kind=object_relation]"], "rubric": "Relations identify subject, predicate, object, temporal phase, confidence, and supporting assertion."},
+    {"dimension_id": "object_state_transition", "graph_paths": ["entities.state_before_ids", "entities.state_after_ids", "assertions[kind=state_transition]"], "rubric": "State axes name the entity and observable before/after values; do not infer success from an action verb."},
+    {"dimension_id": "goal_outcome", "graph_paths": ["procedure.goal_state_ids", "procedure.precondition_ids", "procedure.outcome"], "rubric": "Instructions, goals, preconditions, observed terminal state, and outcome are distinct fields."},
+    {"dimension_id": "mistake_intervention", "graph_paths": ["procedure.correctness", "procedure.error_ids", "procedure.intervention_ids"], "rubric": "Annotate the observable mistake, recovery, and intervention independently from task identity."},
+    {"dimension_id": "proficiency", "graph_paths": ["procedure.proficiency"], "rubric": "Proficiency is separately assessed metadata and must not be inferred from identity or one local mistake."},
+    {"dimension_id": "multimodal_observation", "graph_paths": ["modalities"], "rubric": "Declare each available RGB, depth, audio, IMU, gaze, pose, segmentation, force, tactile, language, action, or proprioceptive stream with clock/frame bindings."},
+    {"dimension_id": "embodied_action_proprioception", "graph_paths": ["assertions[kind=action_chunk]", "assertions[kind=proprio_series]", "modalities[kind=robot_action]", "modalities[kind=proprioception]"], "rubric": "Robot command vectors and observed state vectors keep their layouts, sample periods, coordinate frames, and timestamps."},
+    {"dimension_id": "quality_uncertainty_provenance", "graph_paths": ["assertions.confidence", "assertions.uncertainty", "assertions.visibility", "provenance"], "rubric": "Every claim retains observability, confidence/uncertainty, producer, rubric, source profile, and review state; missing labels are not negative labels."}
+  ],
+  "typed_label_kinds": [
+    "text_class",
+    "temporal_span",
+    "box_2d",
+    "mask_ref",
+    "keypoints_2d",
+    "keypoints_3d",
+    "pose_3d",
+    "trajectory_3d",
+    "audio_event",
+    "object_relation",
+    "state_transition",
+    "action_chunk",
+    "proprio_series"
+  ],
+  "sources": [
+    {
+      "source_id": "ego_exo4d_v2",
+      "title": "Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives",
+      "paper_url": "https://arxiv.org/abs/2311.18259",
+      "official_url": "https://docs.ego-exo4d-data.org/",
+      "release_year": 2024,
+      "native_units": ["take", "synchronized ego/exo camera stream", "narration", "atomic action interval", "keystep interval", "3D hand/body pose sample", "proficiency assessment"],
+      "annotation_rubric": "Preserve synchronized multiview capture and task-specific layers: narration and expert commentary, fine-grained action/keystep timing, proficiency, gaze, camera pose, and 3D hand/body pose are parallel supervision rather than one caption.",
+      "supervision": ["multichannel audio", "eye gaze", "IMU", "3D point clouds", "camera poses", "language descriptions", "expert commentary", "fine-grained activity", "proficiency", "3D hand/body pose"],
+      "supported_dimensions": ["time_sync", "language", "temporal_hierarchy", "agent_identity_role", "hand_laterality_role", "hand_pose", "body_head_pose", "gaze", "proficiency", "multimodal_observation", "quality_uncertainty_provenance"],
+      "known_gaps": ["The activity label alone does not encode object state, contact, or exact environment conditions.", "Different benchmark annotation layers have different temporal and visibility coverage."]
+    },
+    {
+      "source_id": "hot3d_v1",
+      "title": "HOT3D: Hand and Object Tracking in 3D from Egocentric Multi-View Videos",
+      "paper_url": "https://arxiv.org/abs/2411.19167",
+      "official_url": "https://github.com/facebookresearch/hot3d",
+      "release_year": 2025,
+      "native_units": ["sequence", "timestamp_ns", "camera stream", "left/right MANO or UmeTrack hand pose", "object 6DoF pose", "headset pose", "visibility/QA mask"],
+      "annotation_rubric": "At each timestamp and stream, keep handedness, wrist transform, hand model parameters/joints, object instance pose, camera calibration, visibility, exposure, availability, and manual pose-QA masks distinct.",
+      "supervision": ["multi-view RGB/monochrome", "eye gaze", "scene point clouds", "camera poses", "left/right 3D hand poses", "object 6DoF poses", "hand/object 3D models", "per-stream quality masks"],
+      "supported_dimensions": ["scene_geometry", "coordinate_calibration", "time_sync", "hand_laterality_role", "hand_pose", "gaze", "object_identity_role", "object_geometry_pose", "multimodal_observation", "quality_uncertainty_provenance"],
+      "known_gaps": ["Pose availability is not pose accuracy; HOT3D exports separate availability and QA masks.", "The geometric labels do not by themselves state semantic goal, success, error, or hand functional role."]
+    },
+    {
+      "source_id": "aria_digital_twin_v1",
+      "title": "Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perception",
+      "paper_url": "https://arxiv.org/abs/2306.06362",
+      "official_url": "https://www.projectaria.com/datasets/adt/",
+      "release_year": 2023,
+      "native_units": ["sequence", "sensor calibration", "continuous device/object 6DoF pose", "3D gaze vector", "3D human pose", "2D segmentation", "depth map"],
+      "annotation_rubric": "Treat the real scene, calibrated sensor rig, static/dynamic object instances, device trajectory, gaze, human pose, segmentation, depth, and synthetic twin as synchronized but separately typed ground truth.",
+      "supervision": ["RGB/monochrome", "IMU", "complete calibration", "device and object 6DoF poses", "3D eye gaze", "3D human pose", "2D segmentations", "depth", "photorealistic twin"],
+      "supported_dimensions": ["environment_context", "scene_geometry", "coordinate_calibration", "time_sync", "body_head_pose", "gaze", "object_identity_role", "object_geometry_pose", "multimodal_observation", "quality_uncertainty_provenance"],
+      "known_gaps": ["The benchmark ground truth is primarily geometric and does not supply a universal manipulation-action or mistake ontology.", "The published release covers two indoor scenes and should not imply broad environment diversity."]
+    },
+    {
+      "source_id": "holoassist_v1",
+      "title": "HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World",
+      "paper_url": "https://arxiv.org/abs/2309.17024",
+      "official_url": "https://holoassist.github.io/",
+      "release_year": 2023,
+      "native_units": ["collaborative session", "synchronized sensor stream", "coarse/fine action interval", "conversation turn", "mistake", "intervention", "hand forecast target"],
+      "annotation_rubric": "Keep performer and instructor roles, grounded verbal guidance, coarse/fine physical actions, mistakes, recovery/intervention behavior, gaze/head/hand signals, and future-hand targets as linked layers.",
+      "supervision": ["seven synchronized streams", "action annotations", "conversation annotations", "mistakes", "intervention types", "hand forecasting"],
+      "supported_dimensions": ["time_sync", "language", "temporal_hierarchy", "agent_identity_role", "hand_laterality_role", "hand_pose", "gaze", "goal_outcome", "mistake_intervention", "multimodal_observation", "quality_uncertainty_provenance"],
+      "known_gaps": ["Conversation does not replace physical action or state evidence.", "A mistake label is task-relative and cannot be projected safely without the enclosing procedure context."]
+    },
+    {
+      "source_id": "nymeria_v1",
+      "title": "Nymeria: A Massive Collection of Multimodal Egocentric Daily Motion in the Wild",
+      "paper_url": "https://arxiv.org/abs/2406.09905",
+      "official_url": "https://www.projectaria.com/datasets/nymeria/",
+      "release_year": 2024,
+      "native_units": ["recording", "localized synchronized device stream", "full-body motion sample", "fine motion narration", "atomic action", "activity summary"],
+      "annotation_rubric": "Preserve metric-world localization, synchronized multi-device streams, full-body motion, gaze/IMU, and the hierarchy from fine narration through atomic action to high-level activity summary.",
+      "supervision": ["full-body ground-truth motion", "egocentric video", "eye tracking", "IMU", "third-person view", "metric-world localization", "hierarchical motion language"],
+      "supported_dimensions": ["environment_context", "coordinate_calibration", "time_sync", "language", "temporal_hierarchy", "agent_identity_role", "body_head_pose", "gaze", "multimodal_observation", "quality_uncertainty_provenance"],
+      "known_gaps": ["Motion-language hierarchy does not by itself provide object instance state, contact, or manipulation success.", "Natural-language summaries and metric motion have different annotation granularity."]
+    },
+    {
+      "source_id": "droid_rlds_v1",
+      "title": "DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset",
+      "paper_url": "https://arxiv.org/abs/2403.12945",
+      "official_url": "https://github.com/droid-dataset/droid",
+      "release_year": 2024,
+      "native_units": ["episode", "RLDS step", "three language instructions", "three camera observations", "robot Cartesian/joint/gripper state", "commanded action"],
+      "annotation_rubric": "At every ordered step, keep language instruction variants, camera observations, measured Cartesian/joint/gripper state, commanded Cartesian/joint/gripper action, reward, discount, and terminal flags separate.",
+      "supervision": ["wrist and exterior RGB", "language instruction variants", "Cartesian state/action", "joint state/action", "gripper state/action", "reward and terminal flags", "scene diversity"],
+      "supported_dimensions": ["environment_context", "time_sync", "language", "agent_identity_role", "goal_outcome", "multimodal_observation", "embodied_action_proprioception", "quality_uncertainty_provenance"],
+      "known_gaps": ["The released RLDS schema does not universally provide human hand pose, object instance pose, contact, or explicit before/after object state.", "Vector meaning depends on robot/action layout and coordinate conventions and must never be translated as untyped numbers."]
+    },
+    {
+      "source_id": "open_x_embodiment_rlds_v1",
+      "title": "Open X-Embodiment: Robotic Learning Datasets and RT-X Models",
+      "paper_url": "https://arxiv.org/abs/2310.08864",
+      "official_url": "https://robotics-transformer-x.github.io/",
+      "release_year": 2024,
+      "native_units": ["dataset", "episode", "RLDS step", "observation", "action", "language instruction", "robot-specific metadata"],
+      "annotation_rubric": "Normalize container structure while preserving each contributor's robot morphology, observation/action fields, units, coordinate frames, success semantics, language, and missing modalities as dataset-specific contracts.",
+      "supervision": ["standardized RLDS episodes", "multi-robot observations", "robot actions", "language instructions", "527 skills across heterogeneous platforms"],
+      "supported_dimensions": ["environment_context", "time_sync", "language", "agent_identity_role", "goal_outcome", "multimodal_observation", "embodied_action_proprioception", "quality_uncertainty_provenance"],
+      "known_gaps": ["A common container is not a common semantic action space; robot-specific layouts and units remain essential.", "Missing modalities and heterogeneous success labels require explicit loss/availability reporting."]
+    }
+  ]
+}

examples/epic-action.adapter.json

@@ -0,0 +1,9 @@
+{
+  "schema_version": "1.0.0",
+  "adapter_id": "epic_action_class_v1",
+  "target_schema_id": "epic_kitchens.action_segment_v1",
+  "rules": [
+    {"target_field": "verb", "predicate_id": "performs_action", "subject_kind": "event", "subject_id": null, "object_representation": "concept", "cardinality": "one", "required": true},
+    {"target_field": "noun", "predicate_id": "primary_patient", "subject_kind": "event", "subject_id": null, "object_representation": "node_concept", "cardinality": "one", "required": true}
+  ]
+}

examples/fold-towel.uap.json

@@ -0,0 +1,167 @@
+{
+  "schema_version": "1.0.0",
+  "packet_id": "uap:sha256:b12c7e9208ce13b54c941cab63b9eb9b05eae18ecf5748dfbc06ee0c5a67addb",
+  "ontology": {
+    "ontology_id": "uap.core.v1",
+    "revision_digest": "sha256:3f7f69239ddf27de8e66f3c679d5e58674fb4adb015f7ca80b359b4faf674f2c"
+  },
+  "source": {
+    "dataset_id": "synthetic_conformance",
+    "schema_id": "synthetic.world_event.v1",
+    "record_id": "fold_towel_001",
+    "revision_digest": "sha256:1111111111111111111111111111111111111111111111111111111111111111",
+    "native_record_digest": "sha256:2222222222222222222222222222222222222222222222222222222222222222",
+    "license_expression": "CC0-1.0"
+  },
+  "evidence": [
+    {
+      "evidence_id": "head_video",
+      "evidence_kind": "video",
+      "artifact_digest": null,
+      "selector": {"clock_id": "episode_clock", "start_ns": 1000000000, "end_ns": 8000000000},
+      "source_field_path": null
+    },
+    {
+      "evidence_id": "hand_pose_stream",
+      "evidence_kind": "sensor",
+      "artifact_digest": null,
+      "selector": {"clock_id": "episode_clock", "start_ns": 1000000000, "end_ns": 8000000000},
+      "source_field_path": null
+    },
+    {
+      "evidence_id": "source_narration",
+      "evidence_kind": "text",
+      "artifact_digest": null,
+      "selector": null,
+      "source_field_path": "$.narration"
+    }
+  ],
+  "nodes": [
+    {"node_id": "event_01", "node_kind": "event", "concept_id": "manipulation_event", "attributes": {}},
+    {"node_id": "performer_01", "node_kind": "agent", "concept_id": "human", "attributes": {}},
+    {"node_id": "left_hand", "node_kind": "effector", "concept_id": "hand", "attributes": {"laterality": "left"}},
+    {"node_id": "right_hand", "node_kind": "effector", "concept_id": "hand", "attributes": {"laterality": "right"}},
+    {"node_id": "towel_01", "node_kind": "object", "concept_id": "towel", "attributes": {}},
+    {"node_id": "table_01", "node_kind": "object", "concept_id": "table", "attributes": {}},
+    {"node_id": "laundry_room", "node_kind": "location", "concept_id": "indoor_laundry_area", "attributes": {}},
+    {"node_id": "unfolded_state", "node_kind": "state", "concept_id": "unfolded", "attributes": {}},
+    {"node_id": "folded_state", "node_kind": "state", "concept_id": "folded", "attributes": {}}
+  ],
+  "claims": [
+    {
+      "claim_id": "action",
+      "subject_id": "event_01",
+      "predicate_id": "performs_action",
+      "object": {"kind": "concept", "concept_id": "fold"},
+      "scope": {"clock_id": "episode_clock", "start_ns": 1000000000, "end_ns": 8000000000, "coordinate_frame_id": null},
+      "evidence_ids": ["head_video", "source_narration"],
+      "epistemic": {"status": "human_annotated", "confidence": 0.99, "uncertainty": null, "visibility": "visible"},
+      "provenance": {"producer_kind": "human", "producer_digest": "sha256:3333333333333333333333333333333333333333333333333333333333333333", "method_id": "action_review_v1", "review_status": "double_review", "review_receipt_digest": "sha256:4444444444444444444444444444444444444444444444444444444444444444"}
+    },
+    {
+      "claim_id": "agent",
+      "subject_id": "event_01",
+      "predicate_id": "agent",
+      "object": {"kind": "node_ref", "node_id": "performer_01"},
+      "scope": null,
+      "evidence_ids": ["head_video"],
+      "epistemic": {"status": "observed", "confidence": 1.0, "uncertainty": null, "visibility": "visible"},
+      "provenance": {"producer_kind": "human", "producer_digest": "sha256:3333333333333333333333333333333333333333333333333333333333333333", "method_id": "agent_review_v1", "review_status": "double_review", "review_receipt_digest": "sha256:4444444444444444444444444444444444444444444444444444444444444444"}
+    },
+    {
+      "claim_id": "patient",
+      "subject_id": "event_01",
+      "predicate_id": "primary_patient",
+      "object": {"kind": "node_ref", "node_id": "towel_01"},
+      "scope": null,
+      "evidence_ids": ["head_video", "source_narration"],
+      "epistemic": {"status": "human_annotated", "confidence": 0.99, "uncertainty": null, "visibility": "visible"},
+      "provenance": {"producer_kind": "human", "producer_digest": "sha256:3333333333333333333333333333333333333333333333333333333333333333", "method_id": "object_role_review_v1", "review_status": "double_review", "review_receipt_digest": "sha256:4444444444444444444444444444444444444444444444444444444444444444"}
+    },
+    {
+      "claim_id": "left_effector",
+      "subject_id": "event_01",
+      "predicate_id": "effector",
+      "object": {"kind": "node_ref", "node_id": "left_hand"},
+      "scope": null,
+      "evidence_ids": ["head_video", "hand_pose_stream"],
+      "epistemic": {"status": "measured", "confidence": 0.95, "uncertainty": null, "visibility": "visible"},
+      "provenance": {"producer_kind": "mixed", "producer_digest": "sha256:5555555555555555555555555555555555555555555555555555555555555555", "method_id": "hand_role_v1", "review_status": "double_review", "review_receipt_digest": "sha256:6666666666666666666666666666666666666666666666666666666666666666"}
+    },
+    {
+      "claim_id": "right_effector",
+      "subject_id": "event_01",
+      "predicate_id": "effector",
+      "object": {"kind": "node_ref", "node_id": "right_hand"},
+      "scope": null,
+      "evidence_ids": ["head_video", "hand_pose_stream"],
+      "epistemic": {"status": "measured", "confidence": 0.91, "uncertainty": null, "visibility": "partially_occluded"},
+      "provenance": {"producer_kind": "mixed", "producer_digest": "sha256:5555555555555555555555555555555555555555555555555555555555555555", "method_id": "hand_role_v1", "review_status": "double_review", "review_receipt_digest": "sha256:6666666666666666666666666666666666666666666666666666666666666666"}
+    },
+    {
+      "claim_id": "support_surface",
+      "subject_id": "event_01",
+      "predicate_id": "support_surface",
+      "object": {"kind": "node_ref", "node_id": "table_01"},
+      "scope": null,
+      "evidence_ids": ["head_video"],
+      "epistemic": {"status": "observed", "confidence": 0.98, "uncertainty": null, "visibility": "visible"},
+      "provenance": {"producer_kind": "human", "producer_digest": "sha256:3333333333333333333333333333333333333333333333333333333333333333", "method_id": "relation_review_v1", "review_status": "double_review", "review_receipt_digest": "sha256:4444444444444444444444444444444444444444444444444444444444444444"}
+    },
+    {
+      "claim_id": "environment",
+      "subject_id": "event_01",
+      "predicate_id": "occurs_at",
+      "object": {"kind": "node_ref", "node_id": "laundry_room"},
+      "scope": null,
+      "evidence_ids": ["head_video"],
+      "epistemic": {"status": "human_annotated", "confidence": 0.96, "uncertainty": null, "visibility": "visible"},
+      "provenance": {"producer_kind": "human", "producer_digest": "sha256:3333333333333333333333333333333333333333333333333333333333333333", "method_id": "environment_review_v1", "review_status": "double_review", "review_receipt_digest": "sha256:4444444444444444444444444444444444444444444444444444444444444444"}
+    },
+    {
+      "claim_id": "state_before",
+      "subject_id": "towel_01",
+      "predicate_id": "state_before",
+      "object": {"kind": "node_ref", "node_id": "unfolded_state"},
+      "scope": {"clock_id": "episode_clock", "start_ns": 1000000000, "end_ns": 1100000000, "coordinate_frame_id": null},
+      "evidence_ids": ["head_video"],
+      "epistemic": {"status": "observed", "confidence": 0.98, "uncertainty": null, "visibility": "visible"},
+      "provenance": {"producer_kind": "human", "producer_digest": "sha256:3333333333333333333333333333333333333333333333333333333333333333", "method_id": "state_transition_review_v1", "review_status": "double_review", "review_receipt_digest": "sha256:4444444444444444444444444444444444444444444444444444444444444444"}
+    },
+    {
+      "claim_id": "state_after",
+      "subject_id": "towel_01",
+      "predicate_id": "state_after",
+      "object": {"kind": "node_ref", "node_id": "folded_state"},
+      "scope": {"clock_id": "episode_clock", "start_ns": 7900000000, "end_ns": 8000000000, "coordinate_frame_id": null},
+      "evidence_ids": ["head_video"],
+      "epistemic": {"status": "observed", "confidence": 0.97, "uncertainty": null, "visibility": "visible"},
+      "provenance": {"producer_kind": "human", "producer_digest": "sha256:3333333333333333333333333333333333333333333333333333333333333333", "method_id": "state_transition_review_v1", "review_status": "double_review", "review_receipt_digest": "sha256:4444444444444444444444444444444444444444444444444444444444444444"}
+    },
+    {
+      "claim_id": "outcome",
+      "subject_id": "event_01",
+      "predicate_id": "outcome",
+      "object": {"kind": "concept", "concept_id": "success"},
+      "scope": null,
+      "evidence_ids": ["head_video"],
+      "epistemic": {"status": "human_annotated", "confidence": 0.96, "uncertainty": null, "visibility": "visible"},
+      "provenance": {"producer_kind": "human", "producer_digest": "sha256:3333333333333333333333333333333333333333333333333333333333333333", "method_id": "outcome_review_v1", "review_status": "double_review", "review_receipt_digest": "sha256:4444444444444444444444444444444444444444444444444444444444444444"}
+    }
+  ],
+  "expressions": [
+    {"expression_id": "caption_en", "locale": "en", "text": "fold the towel on the table", "speech_act": "observation", "claim_ids": ["action", "patient", "support_surface"], "method": "source", "review_status": "source_verified", "review_receipt_digest": null},
+    {"expression_id": "caption_zh", "locale": "zh-Hans", "text": "在桌子上折叠毛巾", "speech_act": "observation", "claim_ids": ["action", "patient", "support_surface"], "method": "model_candidate", "review_status": "pending", "review_receipt_digest": null},
+    {"expression_id": "caption_tl", "locale": "tl", "text": "tiklupin ang tuwalya sa mesa", "speech_act": "observation", "claim_ids": ["action", "patient", "support_surface"], "method": "model_candidate", "review_status": "pending", "review_receipt_digest": null},
+    {"expression_id": "caption_es", "locale": "es", "text": "doblar la toalla sobre la mesa", "speech_act": "observation", "claim_ids": ["action", "patient", "support_surface"], "method": "model_candidate", "review_status": "pending", "review_receipt_digest": null}
+  ],
+  "availability": [
+    {"dimension_id": "action_semantics", "status": "present", "reason": "action and semantic roles are annotated"},
+    {"dimension_id": "hand_roles", "status": "present", "reason": "two effectors are grounded in video and hand-pose evidence"},
+    {"dimension_id": "object_state", "status": "present", "reason": "before and after foldedness are annotated"},
+    {"dimension_id": "environment", "status": "present", "reason": "scene location is annotated"},
+    {"dimension_id": "audio_event", "status": "not_collected", "reason": "no audio-event annotation was produced"},
+    {"dimension_id": "object_6d_pose", "status": "not_collected", "reason": "no calibrated object-pose source exists"},
+    {"dimension_id": "intent", "status": "unknown", "reason": "outcome evidence does not establish internal intent"}
+  ]
+}

examples/instructional.adapter.json

@@ -0,0 +1,12 @@
+{
+  "schema_version": "1.0.0",
+  "adapter_id": "instructional_action_v1",
+  "target_schema_id": "generic.instructional_step_v1",
+  "rules": [
+    {"target_field": "action", "predicate_id": "performs_action", "subject_kind": "event", "subject_id": null, "object_representation": "concept", "cardinality": "one", "required": true},
+    {"target_field": "patient", "predicate_id": "primary_patient", "subject_kind": "event", "subject_id": null, "object_representation": "node_concept", "cardinality": "one", "required": true},
+    {"target_field": "outcome", "predicate_id": "outcome", "subject_kind": "event", "subject_id": null, "object_representation": "concept", "cardinality": "one", "required": true},
+    {"target_field": "state_before", "predicate_id": "state_before", "subject_kind": "object", "subject_id": null, "object_representation": "node_concept", "cardinality": "one", "required": false},
+    {"target_field": "state_after", "predicate_id": "state_after", "subject_kind": "object", "subject_id": null, "object_representation": "node_concept", "cardinality": "one", "required": false}
+  ]
+}

examples/world-model.adapter.json

@@ -0,0 +1,16 @@
+{
+  "schema_version": "1.0.0",
+  "adapter_id": "generic_world_model_training_v1",
+  "target_schema_id": "generic.world_model_transition_v1",
+  "rules": [
+    {"target_field": "action", "predicate_id": "performs_action", "subject_kind": "event", "subject_id": null, "object_representation": "concept", "cardinality": "one", "required": true},
+    {"target_field": "agent", "predicate_id": "agent", "subject_kind": "event", "subject_id": null, "object_representation": "node_id", "cardinality": "one", "required": true},
+    {"target_field": "patient", "predicate_id": "primary_patient", "subject_kind": "event", "subject_id": null, "object_representation": "node_id", "cardinality": "one", "required": true},
+    {"target_field": "effectors", "predicate_id": "effector", "subject_kind": "event", "subject_id": null, "object_representation": "node_id", "cardinality": "many", "required": false},
+    {"target_field": "support_surface", "predicate_id": "support_surface", "subject_kind": "event", "subject_id": null, "object_representation": "node_id", "cardinality": "one", "required": false},
+    {"target_field": "environment", "predicate_id": "occurs_at", "subject_kind": "event", "subject_id": null, "object_representation": "node_concept", "cardinality": "one", "required": false},
+    {"target_field": "state_before", "predicate_id": "state_before", "subject_kind": "object", "subject_id": null, "object_representation": "node_concept", "cardinality": "one", "required": false},
+    {"target_field": "state_after", "predicate_id": "state_after", "subject_kind": "object", "subject_id": null, "object_representation": "node_concept", "cardinality": "one", "required": false},
+    {"target_field": "outcome", "predicate_id": "outcome", "subject_kind": "event", "subject_id": null, "object_representation": "concept", "cardinality": "one", "required": false}
+  ]
+}

metadata/release.json

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metadata/validation.json

@@ -0,0 +1 @@
+{"checks":["json_schema_meta_validation","profile_bundle_validation","controlled_frame_semantic_equivalence","uap_content_address_and_ontology_validation","adapter_validation","world_model_audit_validation","private_marker_scan","byte_identical_double_build"],"controlled_frames":6,"controlled_human_languages":5,"controlled_surfaces":30,"label_language_profiles":19,"private_runtime_included":false,"profile_bundle_digest":"sha256:43f02476a7e74716b425b9536abd5def4444c86d7861fdcac484ac1dafe9c40e","public_schemas":12,"release_id":"universal-labeler-v1.0.0","result":"pass","schema_version":"1.0.0","typed_label_kinds":13,"uap_claims":10,"validation_date":"2026-08-25","world_model_dimensions":22}

ontology/universal-annotation-core-v1.json

@@ -0,0 +1,29 @@
+{
+  "schema_version": "1.0.0",
+  "ontology_id": "uap.core.v1",
+  "node_kinds": ["event", "agent", "effector", "object", "location", "state", "task", "sensor", "frame"],
+  "predicates": [
+    {"predicate_id": "performs_action", "subject_kinds": ["event"], "object_kinds": ["concept"], "meaning": "canonical action performed in the event"},
+    {"predicate_id": "agent", "subject_kinds": ["event"], "object_kinds": ["agent"], "meaning": "agent participating in the event"},
+    {"predicate_id": "primary_patient", "subject_kinds": ["event"], "object_kinds": ["object"], "meaning": "primary entity changed or acted upon"},
+    {"predicate_id": "secondary_patient", "subject_kinds": ["event"], "object_kinds": ["object"], "meaning": "additional entity changed or acted upon"},
+    {"predicate_id": "effector", "subject_kinds": ["event"], "object_kinds": ["effector"], "meaning": "body part or robot effector executing the action"},
+    {"predicate_id": "instrument", "subject_kinds": ["event"], "object_kinds": ["object"], "meaning": "tool used to carry out the action"},
+    {"predicate_id": "source", "subject_kinds": ["event"], "object_kinds": ["object", "location"], "meaning": "origin of a transferred entity"},
+    {"predicate_id": "destination", "subject_kinds": ["event"], "object_kinds": ["object", "location"], "meaning": "destination of a transferred entity"},
+    {"predicate_id": "support_surface", "subject_kinds": ["event", "object"], "object_kinds": ["object"], "meaning": "surface supporting the action or entity"},
+    {"predicate_id": "occurs_at", "subject_kinds": ["event"], "object_kinds": ["location"], "meaning": "physical location or environment of the event"},
+    {"predicate_id": "state_before", "subject_kinds": ["object", "agent", "location"], "object_kinds": ["state", "concept", "value"], "meaning": "state immediately before the scoped event"},
+    {"predicate_id": "state_after", "subject_kinds": ["object", "agent", "location"], "object_kinds": ["state", "concept", "value"], "meaning": "state immediately after the scoped event"},
+    {"predicate_id": "contact", "subject_kinds": ["effector", "object", "agent"], "object_kinds": ["effector", "object", "agent"], "meaning": "physical contact during the claim scope"},
+    {"predicate_id": "outcome", "subject_kinds": ["event"], "object_kinds": ["concept"], "meaning": "observed result of the event"},
+    {"predicate_id": "correctness", "subject_kinds": ["event"], "object_kinds": ["concept"], "meaning": "task-relative correctness or mistake status"},
+    {"predicate_id": "goal", "subject_kinds": ["event", "task"], "object_kinds": ["state", "concept"], "meaning": "stated or annotated target state, distinct from inferred intent"}
+  ],
+  "availability_dimensions": [
+    "action_semantics", "agent_identity", "hand_roles", "object_roles", "object_state",
+    "environment", "temporal_scope", "geometry_2d", "geometry_3d", "object_6d_pose",
+    "hand_pose", "body_pose", "gaze", "audio_event", "language", "outcome",
+    "correctness", "goal", "intent", "proprioception", "robot_action", "tactile"
+  ]
+}

rubrics/EVALUATION_PROTOCOL.md

@@ -0,0 +1,39 @@
+# Evaluation protocol
+
+Evaluate translation as grounded data transformation, not sentence similarity.
+
+## Required test pools
+
+- frozen bilingual gold rows for every supported language and construction;
+- video-grounded rows stratified by action, object, hand configuration,
+  environment, state transition, confidence, and source;
+- contrast pairs for open/close, source/destination, left/right, success/error,
+  observation/directive, singular/plural, negation, and temporal order;
+- malformed and adversarial records; and
+- rare vocabulary and low-confidence strata that cannot be hidden by frequency.
+
+## Metrics
+
+Report separately by language and stratum:
+
+- supported-claim precision and recall;
+- critical, major, and minor errors per 1,000 rows;
+- action, object, hand, state, temporal, and provenance accuracy;
+- bilingual adequacy and naturalness;
+- withheld/abstention rate;
+- multilingual video retrieval and temporal-localization performance; and
+- constant-answer, language-blind, and source-only baselines.
+
+## Recommended release gates
+
+- at least 99% of expressed claims supported by evidence;
+- fewer than 0.5% critical semantic errors;
+- at least 95% canonical-claim equivalence across language surfaces;
+- mean bilingual adequacy at least 4.3/5 and naturalness at least 4.0/5;
+- no failed action, source, factory, or language-hazard stratum hidden by the
+  aggregate; and
+- multilingual retrieval within 5% relative of the English condition on the
+  same frozen relevance judgments.
+
+These are proposed acceptance thresholds, not scores achieved by this release.
+The controlled conformance matrix is too small to establish production quality.

rubrics/TRANSLATION_REVIEW.md

@@ -0,0 +1,77 @@
+# Translation review rubric
+
+Review the canonical claims, source evidence, and target-language surface
+together. A reviewer must not grade fluency while ignoring whether the caption
+is true of the evidence.
+
+## Severity
+
+| Severity | Meaning | Examples |
+|---|---|---|
+| Critical | Changes the training target or contradicts evidence | wrong action, object, actor, hand, negation, quantity, direction, state, outcome, or timestamp |
+| Major | Drops or invents a material distinction | missing tool, source/destination, bimanual coordination, uncertainty, goal, error or recovery |
+| Minor | Meaning remains usable but expression is degraded | awkward word order, punctuation, nonpreferred terminology without ambiguity |
+
+Any critical error rejects the row. A major error requires correction and
+re-review. Minor errors are counted by language and construction so systematic
+problems cannot hide inside an average.
+
+## Review dimensions
+
+1. **Evidence fidelity:** every expressed claim is supported by its cited frame,
+   interval, sensor, source label, or human judgment.
+2. **Action structure:** predicate, actor, patient, instrument, source,
+   destination, manner, goal, and result remain distinct.
+3. **Hands and bodies:** ego versus other person, left/right, visibility,
+   contact, functional role, and bimanual coordination are preserved or marked
+   unknown.
+4. **Objects and state:** object identity, attributes, containment, contact,
+   before/after state, and outcome are not merged or hallucinated.
+5. **Time and granularity:** point, interval, atomic action, task phase, and
+   whole activity are not treated as synonyms.
+6. **Communicative meaning:** observation, directive, question, uncertainty,
+   register, polarity, aspect, modality, and reported speech remain explicit.
+7. **Language quality:** terminology, grammar, naturalness, locale, and audience
+   are appropriate without adding unsupported facts.
+8. **Provenance:** source record, revision, evidence selectors, producer,
+   method, review state, and loss ledger remain attached.
+
+## Language-specific checks
+
+### Simplified Chinese (`zh-Hans`)
+
+- Do not infer aspect particles, classifiers, completedness, or omitted
+  arguments from English.
+- Check disposal/passive constructions such as 把 and 被 against semantic roles.
+- Confirm that serial actions remain ordered and separate.
+- Do not depend on whitespace tokenization.
+
+### Tagalog (`tl`)
+
+- Review verbal voice and pivot together with `ang`, `ng`, and `sa` phrases.
+- Do not force English subject–verb–object order onto the target.
+- Preserve actor versus patient prominence and source/destination roles.
+- Tag code-switched spans instead of silently normalizing them.
+
+### Spanish (`es`)
+
+- Separate grammatical gender from physical-world attributes.
+- Check number, determiner, person, register, and imperative morphology.
+- Preserve reflexive constructions, clitic roles, and source/destination.
+
+### Hindi (`hi`, experimental)
+
+- Check case/postpositions, agreement, aspect, word order, and politeness.
+- Do not infer gender or honorific commitments without evidence.
+
+### English (`en`)
+
+- Distinguish observation from imperative fragments.
+- Do not use articles or pronouns to invent definiteness, identity, or gender.
+
+## Reviewer independence
+
+Model output is a candidate. The producing model cannot approve its own row.
+High-risk or benchmark rows require two independent bilingual judgments and
+adjudication of disagreements. Review records bind the source revision,
+canonical claim set, exact target text, rubric version, and reviewer decision.

schemas/controlled-action-matrix.schema.json

@@ -0,0 +1,69 @@
+{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "$id": "https://huggingface.co/datasets/itspublu/UniversalLabeler/resolve/v1.0.0/schemas/controlled-action-matrix.schema.json",
+  "title": "UniversalLabeler controlled-action conformance row",
+  "type": "object",
+  "additionalProperties": false,
+  "required": [
+    "schema_version",
+    "frame_id",
+    "semantic_frame",
+    "source",
+    "surfaces",
+    "release_status",
+    "profile_bundle_digest"
+  ],
+  "properties": {
+    "schema_version": {"const": "1.0.0"},
+    "frame_id": {"type": "string", "pattern": "^[a-z][a-z0-9_]*__[a-z][a-z0-9_]*$"},
+    "semantic_frame": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["predicate_concept_id", "patient_concept_id", "speech_act"],
+      "properties": {
+        "predicate_concept_id": {"type": "string", "minLength": 1},
+        "patient_concept_id": {"type": "string", "minLength": 1},
+        "speech_act": {"const": "directive"}
+      }
+    },
+    "source": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["language_profile_id", "language_tag", "text"],
+      "properties": {
+        "language_profile_id": {"const": "human.en.controlled_action_v1"},
+        "language_tag": {"const": "en"},
+        "text": {"type": "string", "minLength": 1}
+      }
+    },
+    "surfaces": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["en", "zh-Hans", "tl", "es", "hi"],
+      "properties": {
+        "en": {"$ref": "#/$defs/surface"},
+        "zh-Hans": {"$ref": "#/$defs/surface"},
+        "tl": {"$ref": "#/$defs/surface"},
+        "es": {"$ref": "#/$defs/surface"},
+        "hi": {"$ref": "#/$defs/surface"}
+      }
+    },
+    "release_status": {"const": "synthetic_conformance_not_translation_gold"},
+    "profile_bundle_digest": {"type": "string", "pattern": "^sha256:[0-9a-f]{64}$"}
+  },
+  "$defs": {
+    "surface": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["language_profile_id", "language_tag", "text", "meaning_digest", "method", "loss_report"],
+      "properties": {
+        "language_profile_id": {"type": "string", "minLength": 1},
+        "language_tag": {"enum": ["en", "zh-Hans", "tl", "es", "hi"]},
+        "text": {"type": "string", "minLength": 1},
+        "meaning_digest": {"type": "string", "pattern": "^sha256:[0-9a-f]{64}$"},
+        "method": {"enum": ["source", "pinned_algorithm"]},
+        "loss_report": {"type": "array", "items": {"type": "object"}}
+      }
+    }
+  }
+}

schemas/deconstructed-english.schema.json

@@ -0,0 +1,50 @@
+{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "$id": "https://huggingface.co/datasets/egobowwow/egobowwow-1k/resolve/v1.1.0/schemas/deconstructed-english.schema.json",
+  "title": "Deconstructed English transport packet v1",
+  "description": "A machine notation with English-readable keys. It keeps world meaning, communicative meaning, source expression evidence, residuals, and realization commitments separate.",
+  "type": "object",
+  "additionalProperties": false,
+  "required": [
+    "$schema",
+    "deng_version",
+    "world_semantics",
+    "communicative_semantics",
+    "expression_evidence",
+    "residual_features",
+    "realization_ledger",
+    "meaning_digest",
+    "information_digest"
+  ],
+  "properties": {
+    "$schema": {"const": "../../schemas/deconstructed-english.schema.json"},
+    "deng_version": {"const": "1.0.0"},
+    "world_semantics": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["event", "grounding"],
+      "properties": {
+        "event": {"type": "object"},
+        "grounding": {"type": ["object", "null"]}
+      }
+    },
+    "communicative_semantics": {"type": "object"},
+    "expression_evidence": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["source_language_id", "source_label", "source_label_digest"],
+      "properties": {
+        "source_language_id": {"type": "string"},
+        "source_label": {"type": "object"},
+        "source_label_digest": {"$ref": "#/$defs/sha256"}
+      }
+    },
+    "residual_features": {"type": "array"},
+    "realization_ledger": {"type": "array"},
+    "meaning_digest": {"$ref": "#/$defs/sha256"},
+    "information_digest": {"$ref": "#/$defs/sha256"}
+  },
+  "$defs": {
+    "sha256": {"type": "string", "pattern": "^sha256:[0-9a-f]{64}$"}
+  }
+}

schemas/eval-common.schema.json

@@ -0,0 +1,593 @@
+{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "$id": "https://huggingface.co/datasets/egobowwow/egobowwow-1k/resolve/v1.0.0/schemas/eval-common.schema.json",
+  "title": "EgoBowWow multimodal evaluation shared types",
+  "description": "Closed types shared by frozen tasksets, contestant submissions, and evaluator results. Time on evidence media is always integer nanoseconds on a named clock; masks and other bulky values are content-addressed references, never embedded media.",
+  "$defs": {
+    "identifier": {
+      "type": "string",
+      "pattern": "^[a-z][a-z0-9]*(?:[._-][a-z0-9]+)*$",
+      "maxLength": 192
+    },
+    "sha256": {
+      "type": "string",
+      "pattern": "^sha256:[0-9a-f]{64}$"
+    },
+    "artifactId": {
+      "type": "string",
+      "pattern": "^artifact:sha256:[0-9a-f]{64}$"
+    },
+    "tasksetId": {
+      "type": "string",
+      "pattern": "^eval-taskset:[a-z][a-z0-9]*(?:[._-][a-z0-9]+)*:[0-9]+\\.[0-9]+\\.[0-9]+$"
+    },
+    "taskId": {
+      "type": "string",
+      "pattern": "^eval-task:sha256:[0-9a-f]{64}$"
+    },
+    "evidenceBundleId": {
+      "type": "string",
+      "pattern": "^evidence-bundle:sha256:[0-9a-f]{64}$"
+    },
+    "submissionId": {
+      "type": "string",
+      "pattern": "^eval-submission:sha256:[0-9a-f]{64}$"
+    },
+    "resultId": {
+      "type": "string",
+      "pattern": "^eval-result:sha256:[0-9a-f]{64}$"
+    },
+    "gradeId": {
+      "type": "string",
+      "pattern": "^eval-grade:sha256:[0-9a-f]{64}$"
+    },
+    "traceId": {
+      "type": "string",
+      "pattern": "^eval-trace:sha256:[0-9a-f]{64}$"
+    },
+    "nonNegativeNanoseconds": {
+      "type": "integer",
+      "minimum": 0
+    },
+    "positiveNanoseconds": {
+      "type": "integer",
+      "minimum": 1
+    },
+    "probability": {
+      "type": "number",
+      "minimum": 0,
+      "maximum": 1
+    },
+    "role": {
+      "enum": ["contestant", "judge", "organizer", "auditor"]
+    },
+    "labelKind": {
+      "enum": [
+        "text_class",
+        "temporal_span",
+        "box_2d",
+        "mask_ref",
+        "keypoints_2d",
+        "keypoints_3d",
+        "pose_3d",
+        "trajectory_3d",
+        "audio_event",
+        "object_relation",
+        "state_transition",
+        "action_chunk",
+        "proprio_series"
+      ]
+    },
+    "interval": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["clock_id", "start_ns", "end_ns"],
+      "properties": {
+        "clock_id": {"$ref": "#/$defs/identifier"},
+        "start_ns": {"$ref": "#/$defs/nonNegativeNanoseconds"},
+        "end_ns": {"$ref": "#/$defs/positiveNanoseconds"}
+      },
+      "$comment": "The semantic validator enforces start_ns < end_ns; intervals are half-open [start_ns,end_ns)."
+    },
+    "artifactPointer": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["artifact_id", "content_sha256", "media_type"],
+      "properties": {
+        "artifact_id": {"$ref": "#/$defs/artifactId"},
+        "content_sha256": {"$ref": "#/$defs/sha256"},
+        "media_type": {
+          "type": "string",
+          "pattern": "^[A-Za-z0-9!#$&^_.+-]+/[A-Za-z0-9!#$&^_.+-]+$",
+          "maxLength": 127
+        }
+      },
+      "$comment": "artifact_id must equal artifact: + content_sha256; checked semantically. No locator, media bytes, credentials, or local path is permitted here."
+    },
+    "uncertainty": {
+      "oneOf": [
+        {
+          "type": "object",
+          "additionalProperties": false,
+          "required": ["kind"],
+          "properties": {"kind": {"const": "not_reported"}}
+        },
+        {
+          "type": "object",
+          "additionalProperties": false,
+          "required": ["kind", "standard_deviation", "unit"],
+          "properties": {
+            "kind": {"const": "scalar_standard_deviation"},
+            "standard_deviation": {"type": "number", "minimum": 0},
+            "unit": {"type": "string", "minLength": 1, "maxLength": 64}
+          }
+        },
+        {
+          "type": "object",
+          "additionalProperties": false,
+          "required": ["kind", "dimension", "row_major_covariance", "unit"],
+          "properties": {
+            "kind": {"const": "covariance"},
+            "dimension": {"type": "integer", "minimum": 1, "maximum": 64},
+            "row_major_covariance": {
+              "type": "array",
+              "minItems": 1,
+              "maxItems": 4096,
+              "items": {"type": "number"}
+            },
+            "unit": {"type": "string", "minLength": 1, "maxLength": 64}
+          },
+          "$comment": "The semantic validator enforces dimension squared entries."
+        }
+      ]
+    },
+    "visibility": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["state", "visible_fraction"],
+      "properties": {
+        "state": {
+          "enum": ["visible", "partially_occluded", "fully_occluded", "truncated", "not_observable", "unknown"]
+        },
+        "visible_fraction": {
+          "oneOf": [{"$ref": "#/$defs/probability"}, {"type": "null"}]
+        }
+      }
+    },
+    "point2d": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["keypoint_id", "x", "y", "confidence", "visibility"],
+      "properties": {
+        "keypoint_id": {"$ref": "#/$defs/identifier"},
+        "x": {"type": "number"},
+        "y": {"type": "number"},
+        "confidence": {"$ref": "#/$defs/probability"},
+        "visibility": {"$ref": "#/$defs/visibility"}
+      }
+    },
+    "point3d": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["keypoint_id", "x", "y", "z", "confidence", "visibility"],
+      "properties": {
+        "keypoint_id": {"$ref": "#/$defs/identifier"},
+        "x": {"type": "number"},
+        "y": {"type": "number"},
+        "z": {"type": "number"},
+        "confidence": {"$ref": "#/$defs/probability"},
+        "visibility": {"$ref": "#/$defs/visibility"}
+      }
+    },
+    "poseSample": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["timestamp_ns", "translation_m", "quaternion_xyzw"],
+      "properties": {
+        "timestamp_ns": {"$ref": "#/$defs/nonNegativeNanoseconds"},
+        "translation_m": {
+          "type": "array",
+          "minItems": 3,
+          "maxItems": 3,
+          "items": {"type": "number"}
+        },
+        "quaternion_xyzw": {
+          "type": "array",
+          "minItems": 4,
+          "maxItems": 4,
+          "items": {"type": "number"}
+        }
+      },
+      "$comment": "The semantic validator rejects zero and non-unit quaternions and non-monotone trajectories."
+    },
+    "textClassLabel": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["label_key", "kind", "class_id", "confidence", "uncertainty", "visibility"],
+      "properties": {
+        "label_key": {"$ref": "#/$defs/identifier"},
+        "kind": {"const": "text_class"},
+        "class_id": {"$ref": "#/$defs/identifier"},
+        "confidence": {"$ref": "#/$defs/probability"},
+        "uncertainty": {"$ref": "#/$defs/uncertainty"},
+        "visibility": {"$ref": "#/$defs/visibility"}
+      }
+    },
+    "temporalSpanLabel": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["label_key", "kind", "class_id", "interval", "confidence", "uncertainty", "visibility"],
+      "properties": {
+        "label_key": {"$ref": "#/$defs/identifier"},
+        "kind": {"const": "temporal_span"},
+        "class_id": {"$ref": "#/$defs/identifier"},
+        "interval": {"$ref": "#/$defs/interval"},
+        "confidence": {"$ref": "#/$defs/probability"},
+        "uncertainty": {"$ref": "#/$defs/uncertainty"},
+        "visibility": {"$ref": "#/$defs/visibility"}
+      }
+    },
+    "box2dLabel": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["label_key", "kind", "class_id", "clock_id", "timestamp_ns", "coordinate_frame_id", "coordinate_unit", "xyxy", "confidence", "uncertainty", "visibility"],
+      "properties": {
+        "label_key": {"$ref": "#/$defs/identifier"},
+        "kind": {"const": "box_2d"},
+        "class_id": {"$ref": "#/$defs/identifier"},
+        "clock_id": {"$ref": "#/$defs/identifier"},
+        "timestamp_ns": {"$ref": "#/$defs/nonNegativeNanoseconds"},
+        "coordinate_frame_id": {"$ref": "#/$defs/identifier"},
+        "coordinate_unit": {"enum": ["pixels", "normalized_0_1"]},
+        "xyxy": {
+          "type": "array",
+          "minItems": 4,
+          "maxItems": 4,
+          "items": {"type": "number"}
+        },
+        "confidence": {"$ref": "#/$defs/probability"},
+        "uncertainty": {"$ref": "#/$defs/uncertainty"},
+        "visibility": {"$ref": "#/$defs/visibility"}
+      }
+    },
+    "maskRefLabel": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["label_key", "kind", "class_id", "clock_id", "timestamp_ns", "coordinate_frame_id", "encoding", "mask_artifact", "confidence", "uncertainty", "visibility"],
+      "properties": {
+        "label_key": {"$ref": "#/$defs/identifier"},
+        "kind": {"const": "mask_ref"},
+        "class_id": {"$ref": "#/$defs/identifier"},
+        "clock_id": {"$ref": "#/$defs/identifier"},
+        "timestamp_ns": {"$ref": "#/$defs/nonNegativeNanoseconds"},
+        "coordinate_frame_id": {"$ref": "#/$defs/identifier"},
+        "encoding": {"enum": ["png_binary", "png_indexed", "coco_rle_json", "polygons_json"]},
+        "mask_artifact": {"$ref": "#/$defs/artifactPointer"},
+        "confidence": {"$ref": "#/$defs/probability"},
+        "uncertainty": {"$ref": "#/$defs/uncertainty"},
+        "visibility": {"$ref": "#/$defs/visibility"}
+      }
+    },
+    "keypoints2dLabel": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["label_key", "kind", "class_id", "clock_id", "timestamp_ns", "coordinate_frame_id", "coordinate_unit", "points", "confidence", "uncertainty", "visibility"],
+      "properties": {
+        "label_key": {"$ref": "#/$defs/identifier"},
+        "kind": {"const": "keypoints_2d"},
+        "class_id": {"$ref": "#/$defs/identifier"},
+        "clock_id": {"$ref": "#/$defs/identifier"},
+        "timestamp_ns": {"$ref": "#/$defs/nonNegativeNanoseconds"},
+        "coordinate_frame_id": {"$ref": "#/$defs/identifier"},
+        "coordinate_unit": {"enum": ["pixels", "normalized_0_1"]},
+        "points": {"type": "array", "minItems": 1, "maxItems": 256, "items": {"$ref": "#/$defs/point2d"}},
+        "confidence": {"$ref": "#/$defs/probability"},
+        "uncertainty": {"$ref": "#/$defs/uncertainty"},
+        "visibility": {"$ref": "#/$defs/visibility"}
+      }
+    },
+    "keypoints3dLabel": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["label_key", "kind", "class_id", "clock_id", "timestamp_ns", "coordinate_frame_id", "coordinate_unit", "points", "confidence", "uncertainty", "visibility"],
+      "properties": {
+        "label_key": {"$ref": "#/$defs/identifier"},
+        "kind": {"const": "keypoints_3d"},
+        "class_id": {"$ref": "#/$defs/identifier"},
+        "clock_id": {"$ref": "#/$defs/identifier"},
+        "timestamp_ns": {"$ref": "#/$defs/nonNegativeNanoseconds"},
+        "coordinate_frame_id": {"$ref": "#/$defs/identifier"},
+        "coordinate_unit": {"enum": ["meters", "millimeters"]},
+        "points": {"type": "array", "minItems": 1, "maxItems": 256, "items": {"$ref": "#/$defs/point3d"}},
+        "confidence": {"$ref": "#/$defs/probability"},
+        "uncertainty": {"$ref": "#/$defs/uncertainty"},
+        "visibility": {"$ref": "#/$defs/visibility"}
+      }
+    },
+    "pose3dLabel": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["label_key", "kind", "clock_id", "parent_frame_id", "child_frame_id", "pose", "confidence", "uncertainty", "visibility"],
+      "properties": {
+        "label_key": {"$ref": "#/$defs/identifier"},
+        "kind": {"const": "pose_3d"},
+        "clock_id": {"$ref": "#/$defs/identifier"},
+        "parent_frame_id": {"$ref": "#/$defs/identifier"},
+        "child_frame_id": {"$ref": "#/$defs/identifier"},
+        "pose": {"$ref": "#/$defs/poseSample"},
+        "confidence": {"$ref": "#/$defs/probability"},
+        "uncertainty": {"$ref": "#/$defs/uncertainty"},
+        "visibility": {"$ref": "#/$defs/visibility"}
+      }
+    },
+    "trajectory3dLabel": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["label_key", "kind", "clock_id", "parent_frame_id", "child_frame_id", "samples", "confidence", "uncertainty", "visibility"],
+      "properties": {
+        "label_key": {"$ref": "#/$defs/identifier"},
+        "kind": {"const": "trajectory_3d"},
+        "clock_id": {"$ref": "#/$defs/identifier"},
+        "parent_frame_id": {"$ref": "#/$defs/identifier"},
+        "child_frame_id": {"$ref": "#/$defs/identifier"},
+        "samples": {"type": "array", "minItems": 2, "maxItems": 4096, "items": {"$ref": "#/$defs/poseSample"}},
+        "confidence": {"$ref": "#/$defs/probability"},
+        "uncertainty": {"$ref": "#/$defs/uncertainty"},
+        "visibility": {"$ref": "#/$defs/visibility"}
+      }
+    },
+    "audioEventLabel": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["label_key", "kind", "event_class_id", "channel_id", "interval", "confidence", "uncertainty", "visibility"],
+      "properties": {
+        "label_key": {"$ref": "#/$defs/identifier"},
+        "kind": {"const": "audio_event"},
+        "event_class_id": {"$ref": "#/$defs/identifier"},
+        "channel_id": {"$ref": "#/$defs/identifier"},
+        "interval": {"$ref": "#/$defs/interval"},
+        "confidence": {"$ref": "#/$defs/probability"},
+        "uncertainty": {"$ref": "#/$defs/uncertainty"},
+        "visibility": {"$ref": "#/$defs/visibility"}
+      }
+    },
+    "objectRelationLabel": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["label_key", "kind", "subject_entity_id", "relation_class_id", "object_entity_id", "interval", "confidence", "uncertainty", "visibility"],
+      "properties": {
+        "label_key": {"$ref": "#/$defs/identifier"},
+        "kind": {"const": "object_relation"},
+        "subject_entity_id": {"$ref": "#/$defs/identifier"},
+        "relation_class_id": {"$ref": "#/$defs/identifier"},
+        "object_entity_id": {"$ref": "#/$defs/identifier"},
+        "interval": {"$ref": "#/$defs/interval"},
+        "confidence": {"$ref": "#/$defs/probability"},
+        "uncertainty": {"$ref": "#/$defs/uncertainty"},
+        "visibility": {"$ref": "#/$defs/visibility"}
+      }
+    },
+    "stateTransitionLabel": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["label_key", "kind", "entity_id", "state_axis_id", "before_state_id", "after_state_id", "clock_id", "transition_ns", "confidence", "uncertainty", "visibility"],
+      "properties": {
+        "label_key": {"$ref": "#/$defs/identifier"},
+        "kind": {"const": "state_transition"},
+        "entity_id": {"$ref": "#/$defs/identifier"},
+        "state_axis_id": {"$ref": "#/$defs/identifier"},
+        "before_state_id": {"$ref": "#/$defs/identifier"},
+        "after_state_id": {"$ref": "#/$defs/identifier"},
+        "clock_id": {"$ref": "#/$defs/identifier"},
+        "transition_ns": {"$ref": "#/$defs/nonNegativeNanoseconds"},
+        "confidence": {"$ref": "#/$defs/probability"},
+        "uncertainty": {"$ref": "#/$defs/uncertainty"},
+        "visibility": {"$ref": "#/$defs/visibility"}
+      }
+    },
+    "proprioSample": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["timestamp_ns", "values"],
+      "properties": {
+        "timestamp_ns": {"$ref": "#/$defs/nonNegativeNanoseconds"},
+        "values": {"type": "array", "minItems": 1, "maxItems": 4096, "items": {"type": "number"}}
+      }
+    },
+    "actionChunkLabel": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["label_key", "kind", "clock_id", "coordinate_frame_id", "action_layout_id", "start_ns", "step_period_ns", "actions", "confidence", "uncertainty", "visibility"],
+      "properties": {
+        "label_key": {"$ref": "#/$defs/identifier"},
+        "kind": {"const": "action_chunk"},
+        "clock_id": {"$ref": "#/$defs/identifier"},
+        "coordinate_frame_id": {"$ref": "#/$defs/identifier"},
+        "action_layout_id": {"$ref": "#/$defs/identifier"},
+        "start_ns": {"$ref": "#/$defs/nonNegativeNanoseconds"},
+        "step_period_ns": {"$ref": "#/$defs/positiveNanoseconds"},
+        "actions": {
+          "type": "array",
+          "minItems": 1,
+          "maxItems": 4096,
+          "items": {"type": "array", "minItems": 1, "maxItems": 4096, "items": {"type": "number"}}
+        },
+        "confidence": {"$ref": "#/$defs/probability"},
+        "uncertainty": {"$ref": "#/$defs/uncertainty"},
+        "visibility": {"$ref": "#/$defs/visibility"}
+      }
+    },
+    "proprioSeriesLabel": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["label_key", "kind", "clock_id", "coordinate_frame_id", "proprio_layout_id", "samples", "confidence", "uncertainty", "visibility"],
+      "properties": {
+        "label_key": {"$ref": "#/$defs/identifier"},
+        "kind": {"const": "proprio_series"},
+        "clock_id": {"$ref": "#/$defs/identifier"},
+        "coordinate_frame_id": {"$ref": "#/$defs/identifier"},
+        "proprio_layout_id": {"$ref": "#/$defs/identifier"},
+        "samples": {"type": "array", "minItems": 1, "maxItems": 4096, "items": {"$ref": "#/$defs/proprioSample"}},
+        "confidence": {"$ref": "#/$defs/probability"},
+        "uncertainty": {"$ref": "#/$defs/uncertainty"},
+        "visibility": {"$ref": "#/$defs/visibility"}
+      }
+    },
+    "label": {
+      "oneOf": [
+        {"$ref": "#/$defs/textClassLabel"},
+        {"$ref": "#/$defs/temporalSpanLabel"},
+        {"$ref": "#/$defs/box2dLabel"},
+        {"$ref": "#/$defs/maskRefLabel"},
+        {"$ref": "#/$defs/keypoints2dLabel"},
+        {"$ref": "#/$defs/keypoints3dLabel"},
+        {"$ref": "#/$defs/pose3dLabel"},
+        {"$ref": "#/$defs/trajectory3dLabel"},
+        {"$ref": "#/$defs/audioEventLabel"},
+        {"$ref": "#/$defs/objectRelationLabel"},
+        {"$ref": "#/$defs/stateTransitionLabel"},
+        {"$ref": "#/$defs/actionChunkLabel"},
+        {"$ref": "#/$defs/proprioSeriesLabel"}
+      ]
+    },
+    "inputView": {
+      "oneOf": [
+        {
+          "type": "object",
+          "additionalProperties": false,
+          "required": ["view_id", "view_kind", "instruction"],
+          "properties": {
+            "view_id": {"$ref": "#/$defs/identifier"},
+            "view_kind": {"const": "text_prompt"},
+            "instruction": {"type": "string", "minLength": 1, "maxLength": 8192}
+          }
+        },
+        {
+          "type": "object",
+          "additionalProperties": false,
+          "required": ["view_id", "view_kind", "modality", "artifact_id", "interval", "sampling_policy"],
+          "properties": {
+            "view_id": {"$ref": "#/$defs/identifier"},
+            "view_kind": {"const": "artifact_window"},
+            "modality": {"enum": ["rgb", "depth", "audio", "proprioception", "imu", "derived_features"]},
+            "artifact_id": {"$ref": "#/$defs/artifactId"},
+            "interval": {"$ref": "#/$defs/interval"},
+            "sampling_policy": {
+              "type": "object",
+              "additionalProperties": false,
+              "required": ["kind"],
+              "properties": {
+                "kind": {"enum": ["all", "uniform", "keyframes", "native"]},
+                "sample_count": {"type": "integer", "minimum": 1, "maximum": 4096}
+              }
+            }
+          }
+        },
+        {
+          "type": "object",
+          "additionalProperties": false,
+          "required": ["view_id", "view_kind", "artifact_ids", "timestamps_ns", "clock_id"],
+          "properties": {
+            "view_id": {"$ref": "#/$defs/identifier"},
+            "view_kind": {"const": "frame_set"},
+            "artifact_ids": {"type": "array", "minItems": 1, "maxItems": 128, "uniqueItems": true, "items": {"$ref": "#/$defs/artifactId"}},
+            "timestamps_ns": {"type": "array", "minItems": 1, "maxItems": 128, "items": {"$ref": "#/$defs/nonNegativeNanoseconds"}},
+            "clock_id": {"$ref": "#/$defs/identifier"}
+          }
+        },
+        {
+          "type": "object",
+          "additionalProperties": false,
+          "required": ["view_id", "view_kind", "artifact_id", "feature_contract_id", "interval"],
+          "properties": {
+            "view_id": {"$ref": "#/$defs/identifier"},
+            "view_kind": {"const": "derived_feature_window"},
+            "artifact_id": {"$ref": "#/$defs/artifactId"},
+            "feature_contract_id": {"$ref": "#/$defs/identifier"},
+            "interval": {"$ref": "#/$defs/interval"}
+          }
+        }
+      ]
+    },
+    "outputContract": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["allowed_label_kinds", "minimum_labels", "maximum_labels", "coordinate_contract_ids"],
+      "properties": {
+        "allowed_label_kinds": {"type": "array", "minItems": 1, "uniqueItems": true, "items": {"$ref": "#/$defs/labelKind"}},
+        "minimum_labels": {"type": "integer", "minimum": 0, "maximum": 4096},
+        "maximum_labels": {"type": "integer", "minimum": 1, "maximum": 4096},
+        "coordinate_contract_ids": {"type": "array", "uniqueItems": true, "items": {"$ref": "#/$defs/identifier"}}
+      },
+      "$comment": "The semantic validator enforces minimum_labels <= maximum_labels and every prediction kind/frame against this contract."
+    },
+    "metricDefinition": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["metric_id", "metric_kind", "compatible_label_kinds", "direction", "value_range", "matching_policy", "threshold"],
+      "properties": {
+        "metric_id": {"$ref": "#/$defs/identifier"},
+        "metric_kind": {
+          "enum": ["exact_match", "macro_f1", "temporal_iou", "box_iou", "mask_iou", "pck", "mpjpe", "pose_error", "trajectory_ade_fde", "audio_event_f1", "relation_f1", "transition_accuracy", "action_l1", "proprio_l1"]
+        },
+        "compatible_label_kinds": {"type": "array", "minItems": 1, "uniqueItems": true, "items": {"$ref": "#/$defs/labelKind"}},
+        "direction": {"enum": ["maximize", "minimize"]},
+        "value_range": {
+          "type": "object",
+          "additionalProperties": false,
+          "required": ["minimum", "maximum"],
+          "properties": {"minimum": {"type": "number"}, "maximum": {"type": ["number", "null"]}}
+        },
+        "matching_policy": {"enum": ["ordered", "class_aware_bipartite", "timestamp_nearest", "identity_keyed"]},
+        "threshold": {"type": ["number", "null"]}
+      }
+    },
+    "aggregationDefinition": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["aggregation_id", "method", "metric_ids", "group_by", "missing_policy"],
+      "properties": {
+        "aggregation_id": {"$ref": "#/$defs/identifier"},
+        "method": {"const": "macro_mean"},
+        "metric_ids": {"type": "array", "minItems": 1, "uniqueItems": true, "items": {"$ref": "#/$defs/identifier"}},
+        "group_by": {"const": "none"},
+        "missing_policy": {"const": "fail"}
+      },
+      "$comment": "Evaluation contract v1 defines one replayable aggregate: the macro mean over normalized selected metric observations, without grouping or missing-value substitution."
+    },
+    "traceRef": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["trace_id", "content_digest", "format", "artifact"],
+      "properties": {
+        "trace_id": {"$ref": "#/$defs/traceId"},
+        "content_digest": {"$ref": "#/$defs/sha256"},
+        "format": {"enum": ["egobowwow_trace_v1", "prime_verifiers_trace_jsonl_v1", "custom_jsonl"]},
+        "artifact": {"$ref": "#/$defs/artifactPointer"}
+      },
+      "$comment": "Semantic validation requires trace_id = eval-trace: + content_digest and requires the artifact ID/content digest to bind that same digest."
+    },
+    "producerProvenance": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["producer_kind", "implementation_digest", "configuration_digest", "environment_digest"],
+      "properties": {
+        "producer_kind": {"enum": ["model", "deterministic_program", "human", "adjudication_panel"]},
+        "implementation_digest": {"$ref": "#/$defs/sha256"},
+        "configuration_digest": {"$ref": "#/$defs/sha256"},
+        "environment_digest": {"$ref": "#/$defs/sha256"}
+      }
+    },
+    "prediction": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["task_id", "attempt_index", "outputs", "trace_ref"],
+      "properties": {
+        "task_id": {"$ref": "#/$defs/taskId"},
+        "attempt_index": {"type": "integer", "minimum": 0, "maximum": 1023},
+        "outputs": {"type": "array", "maxItems": 4096, "items": {"$ref": "#/$defs/label"}},
+        "trace_ref": {"$ref": "#/$defs/traceRef"}
+      }
+    }
+  }
+}

schemas/grounded-label-graph.schema.json

@@ -0,0 +1,253 @@
+{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "$id": "https://huggingface.co/datasets/egobowwow/egobowwow-1k/resolve/v1.1.0/schemas/grounded-label-graph.schema.json",
+  "title": "EgoBowWow grounded world-label graph",
+  "description": "Language-independent environment, agent, hand, entity, relation, procedure, sensor, geometry, trajectory, state, action, and provenance context for one event. Typed assertions reuse the 13 multimodal evaluation label kinds.",
+  "type": "object",
+  "additionalProperties": false,
+  "required": [
+    "schema_version",
+    "environment",
+    "coordinate_frames",
+    "agents",
+    "entities",
+    "relations",
+    "procedure",
+    "modalities",
+    "assertions",
+    "semantic_alignment",
+    "provenance"
+  ],
+  "properties": {
+    "schema_version": {"const": "1.0.0"},
+    "environment": {"$ref": "#/$defs/environment"},
+    "coordinate_frames": {
+      "type": "array",
+      "minItems": 1,
+      "items": {"$ref": "#/$defs/coordinateFrame"}
+    },
+    "agents": {"type": "array", "minItems": 1, "items": {"$ref": "#/$defs/agent"}},
+    "entities": {"type": "array", "items": {"$ref": "#/$defs/entity"}},
+    "relations": {"type": "array", "items": {"$ref": "#/$defs/relation"}},
+    "procedure": {"$ref": "#/$defs/procedure"},
+    "modalities": {
+      "type": "array",
+      "minItems": 1,
+      "items": {"$ref": "#/$defs/modality"}
+    },
+    "assertions": {
+      "type": "array",
+      "items": {"$ref": "https://huggingface.co/datasets/egobowwow/egobowwow-1k/resolve/v1.0.0/schemas/eval-common.schema.json#/$defs/label"}
+    },
+    "semantic_alignment": {"$ref": "#/$defs/semanticAlignment"},
+    "provenance": {"$ref": "#/$defs/provenance"}
+  },
+  "$defs": {
+    "id": {
+      "type": "string",
+      "pattern": "^[a-z][a-z0-9]*(?:[._-][a-z0-9]+)*$",
+      "maxLength": 192
+    },
+    "sha256": {"type": "string", "pattern": "^sha256:[0-9a-f]{64}$"},
+    "nullableId": {"oneOf": [{"type": "null"}, {"$ref": "#/$defs/id"}]},
+    "environment": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": [
+        "site_context_id",
+        "physical_environment_id",
+        "scene_type_id",
+        "station_type_id",
+        "lighting_id",
+        "weather_id",
+        "clutter_id",
+        "material_state_ids",
+        "map_artifact_id"
+      ],
+      "properties": {
+        "site_context_id": {"$ref": "#/$defs/id"},
+        "physical_environment_id": {"enum": ["indoor", "outdoor", "mixed", "unknown"]},
+        "scene_type_id": {"$ref": "#/$defs/id"},
+        "station_type_id": {"$ref": "#/$defs/id"},
+        "lighting_id": {"$ref": "#/$defs/id"},
+        "weather_id": {"$ref": "#/$defs/id"},
+        "clutter_id": {"$ref": "#/$defs/id"},
+        "material_state_ids": {"type": "array", "uniqueItems": true, "items": {"$ref": "#/$defs/id"}},
+        "map_artifact_id": {
+          "oneOf": [
+            {"type": "null"},
+            {"type": "string", "pattern": "^artifact:sha256:[0-9a-f]{64}$"}
+          ]
+        }
+      }
+    },
+    "coordinateFrame": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["frame_id", "frame_kind", "parent_frame_id", "calibration_digest"],
+      "properties": {
+        "frame_id": {"$ref": "#/$defs/id"},
+        "frame_kind": {"enum": ["world", "site", "camera", "head", "body", "hand", "object", "robot", "sensor"]},
+        "parent_frame_id": {"$ref": "#/$defs/nullableId"},
+        "calibration_digest": {"oneOf": [{"type": "null"}, {"$ref": "#/$defs/sha256"}]}
+      }
+    },
+    "hand": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": [
+        "hand_id",
+        "laterality",
+        "role_ids",
+        "visibility",
+        "contact_entity_ids",
+        "pose_label_keys",
+        "trajectory_label_keys"
+      ],
+      "properties": {
+        "hand_id": {"$ref": "#/$defs/id"},
+        "laterality": {"enum": ["left", "right", "unknown", "not_applicable"]},
+        "role_ids": {"type": "array", "uniqueItems": true, "items": {"$ref": "#/$defs/id"}},
+        "visibility": {"enum": ["visible", "partially_occluded", "fully_occluded", "out_of_view", "unknown"]},
+        "contact_entity_ids": {"type": "array", "uniqueItems": true, "items": {"$ref": "#/$defs/id"}},
+        "pose_label_keys": {"type": "array", "uniqueItems": true, "items": {"$ref": "#/$defs/id"}},
+        "trajectory_label_keys": {"type": "array", "uniqueItems": true, "items": {"$ref": "#/$defs/id"}}
+      }
+    },
+    "agent": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["agent_id", "agent_kind", "role_ids", "hands", "body_pose_label_keys", "gaze_label_keys"],
+      "properties": {
+        "agent_id": {"$ref": "#/$defs/id"},
+        "agent_kind": {"enum": ["human", "robot"]},
+        "role_ids": {"type": "array", "minItems": 1, "uniqueItems": true, "items": {"$ref": "#/$defs/id"}},
+        "hands": {"type": "array", "maxItems": 2, "items": {"$ref": "#/$defs/hand"}},
+        "body_pose_label_keys": {"type": "array", "uniqueItems": true, "items": {"$ref": "#/$defs/id"}},
+        "gaze_label_keys": {"type": "array", "uniqueItems": true, "items": {"$ref": "#/$defs/id"}}
+      }
+    },
+    "entity": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": [
+        "entity_id",
+        "category_id",
+        "role_ids",
+        "state_before_ids",
+        "state_after_ids",
+        "geometry_label_keys",
+        "pose_label_keys",
+        "trajectory_label_keys"
+      ],
+      "properties": {
+        "entity_id": {"$ref": "#/$defs/id"},
+        "category_id": {"$ref": "#/$defs/id"},
+        "role_ids": {"type": "array", "uniqueItems": true, "items": {"$ref": "#/$defs/id"}},
+        "state_before_ids": {"type": "array", "uniqueItems": true, "items": {"$ref": "#/$defs/id"}},
+        "state_after_ids": {"type": "array", "uniqueItems": true, "items": {"$ref": "#/$defs/id"}},
+        "geometry_label_keys": {"type": "array", "uniqueItems": true, "items": {"$ref": "#/$defs/id"}},
+        "pose_label_keys": {"type": "array", "uniqueItems": true, "items": {"$ref": "#/$defs/id"}},
+        "trajectory_label_keys": {"type": "array", "uniqueItems": true, "items": {"$ref": "#/$defs/id"}}
+      }
+    },
+    "relation": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["relation_id", "predicate_id", "subject_id", "object_id", "phase_id", "assertion_label_key"],
+      "properties": {
+        "relation_id": {"$ref": "#/$defs/id"},
+        "predicate_id": {"enum": ["contact", "holding", "supporting", "inside", "on", "under", "near", "attached_to", "aligned_with", "gaze_at"]},
+        "subject_id": {"$ref": "#/$defs/id"},
+        "object_id": {"$ref": "#/$defs/id"},
+        "phase_id": {"enum": ["approach", "contact", "manipulation", "release", "postcondition", "continuous", "unknown"]},
+        "assertion_label_key": {"oneOf": [{"type": "null"}, {"$ref": "#/$defs/id"}]}
+      }
+    },
+    "procedure": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": [
+        "activity_category_id",
+        "task_id",
+        "goal_state_ids",
+        "step_id",
+        "precondition_ids",
+        "outcome",
+        "correctness",
+        "error_ids",
+        "intervention_ids",
+        "proficiency"
+      ],
+      "properties": {
+        "activity_category_id": {"$ref": "#/$defs/id"},
+        "task_id": {"$ref": "#/$defs/id"},
+        "goal_state_ids": {"type": "array", "uniqueItems": true, "items": {"$ref": "#/$defs/id"}},
+        "step_id": {"$ref": "#/$defs/id"},
+        "precondition_ids": {"type": "array", "uniqueItems": true, "items": {"$ref": "#/$defs/id"}},
+        "outcome": {"enum": ["success", "partial", "failure", "aborted", "unknown"]},
+        "correctness": {"enum": ["correct", "mistake", "recovery", "demonstration", "unknown"]},
+        "error_ids": {"type": "array", "uniqueItems": true, "items": {"$ref": "#/$defs/id"}},
+        "intervention_ids": {"type": "array", "uniqueItems": true, "items": {"$ref": "#/$defs/id"}},
+        "proficiency": {"enum": ["novice", "intermediate", "expert", "not_assessed", "unknown"]}
+      }
+    },
+    "modality": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["modality_id", "kind", "clock_id", "coordinate_frame_id", "artifact_id"],
+      "properties": {
+        "modality_id": {"$ref": "#/$defs/id"},
+        "kind": {"enum": ["rgb", "monochrome", "depth", "audio", "imu", "eye_gaze", "point_cloud", "body_pose", "hand_pose", "object_pose", "segmentation", "proprioception", "robot_action", "force_torque", "tactile", "language"]},
+        "clock_id": {"$ref": "#/$defs/id"},
+        "coordinate_frame_id": {"$ref": "#/$defs/nullableId"},
+        "artifact_id": {
+          "oneOf": [
+            {"type": "null"},
+            {"type": "string", "pattern": "^artifact:sha256:[0-9a-f]{64}$"}
+          ]
+        }
+      }
+    },
+    "semanticAlignment": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": [
+        "predicate_concept_id",
+        "argument_bindings",
+        "effector_hand_ids",
+        "action_assertion_label_keys"
+      ],
+      "properties": {
+        "predicate_concept_id": {"$ref": "#/$defs/id"},
+        "argument_bindings": {
+          "type": "array",
+          "items": {
+            "type": "object",
+            "additionalProperties": false,
+            "required": ["role_id", "concept_id", "ground_ref_id"],
+            "properties": {
+              "role_id": {"enum": ["agent", "patient", "instrument", "source", "destination", "recipient", "beneficiary", "location", "support_surface"]},
+              "concept_id": {"$ref": "#/$defs/id"},
+              "ground_ref_id": {"$ref": "#/$defs/id"}
+            }
+          }
+        },
+        "effector_hand_ids": {"type": "array", "uniqueItems": true, "items": {"$ref": "#/$defs/id"}},
+        "action_assertion_label_keys": {"type": "array", "uniqueItems": true, "items": {"$ref": "#/$defs/id"}}
+      }
+    },
+    "provenance": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["source_profile_ids", "rubric_ids", "annotation_method", "producer_digest", "review_status"],
+      "properties": {
+        "source_profile_ids": {"type": "array", "minItems": 1, "uniqueItems": true, "items": {"$ref": "#/$defs/id"}},
+        "rubric_ids": {"type": "array", "minItems": 1, "uniqueItems": true, "items": {"$ref": "#/$defs/id"}},
+        "annotation_method": {"enum": ["sensor_ground_truth", "human", "model", "derived", "mixed"]},
+        "producer_digest": {"$ref": "#/$defs/sha256"},
+        "review_status": {"enum": ["unreviewed", "single_review", "double_review", "adjudicated", "sensor_qa_pass"]}
+      }
+    }
+  }
+}

schemas/label-language-profile.schema.json

@@ -0,0 +1,261 @@
+{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "$id": "https://huggingface.co/datasets/egobowwow/egobowwow-1k/resolve/v1.1.0/schemas/label-language-profile.schema.json",
+  "title": "EgoBowWow label-language profile bundle",
+  "description": "Versioned syntax, vocabulary, rubric, loss hazards, grounded-world binding, and lexical mappings for translating annotation labels through Universal Label Semantics.",
+  "type": "object",
+  "additionalProperties": false,
+  "required": [
+    "$schema",
+    "schema_version",
+    "bundle_id",
+    "interlingua_id",
+    "design_contract",
+    "teacher_rubric",
+    "label_only_predicate_concepts",
+    "label_languages",
+    "lexical_mappings",
+    "entity_concepts",
+    "entity_lexical_mappings",
+    "controlled_frames"
+  ],
+  "properties": {
+    "$schema": {"const": "../schemas/label-language-profile.schema.json"},
+    "schema_version": {"const": "1.1.0"},
+    "bundle_id": {"$ref": "#/$defs/id"},
+    "interlingua_id": {"$ref": "#/$defs/id"},
+    "design_contract": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": [
+        "translation_shape",
+        "native_preservation",
+        "grounding_invariant",
+        "abstention",
+        "teacher_authority",
+        "mapping_relations"
+      ],
+      "properties": {
+        "translation_shape": {"type": "string", "minLength": 1},
+        "native_preservation": {"type": "string", "minLength": 1},
+        "grounding_invariant": {"type": "string", "minLength": 1},
+        "abstention": {"type": "string", "minLength": 1},
+        "teacher_authority": {"type": "string", "minLength": 1},
+        "mapping_relations": {
+          "type": "array",
+          "minItems": 8,
+          "uniqueItems": true,
+          "items": {"$ref": "#/$defs/mappingRelation"}
+        }
+      }
+    },
+    "teacher_rubric": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["decision_order", "required_checks", "forbidden_shortcuts"],
+      "properties": {
+        "decision_order": {"$ref": "#/$defs/nonEmptyStrings"},
+        "required_checks": {"$ref": "#/$defs/nonEmptyStrings"},
+        "forbidden_shortcuts": {"$ref": "#/$defs/nonEmptyStrings"}
+      }
+    },
+    "label_only_predicate_concepts": {
+      "type": "object",
+      "minProperties": 1,
+      "propertyNames": {"$ref": "#/$defs/id"},
+      "additionalProperties": {"type": "string", "minLength": 1}
+    },
+    "label_languages": {
+      "type": "array",
+      "minItems": 2,
+      "items": {"$ref": "#/$defs/profile"}
+    },
+    "lexical_mappings": {
+      "type": "array",
+      "items": {"$ref": "#/$defs/lexicalMapping"}
+    },
+    "entity_concepts": {
+      "type": "object",
+      "propertyNames": {"$ref": "#/$defs/id"},
+      "additionalProperties": {"type": "string", "minLength": 1}
+    },
+    "entity_lexical_mappings": {
+      "type": "array",
+      "items": {"$ref": "#/$defs/lexicalMapping"}
+    },
+    "controlled_frames": {
+      "type": "array",
+      "minItems": 1,
+      "uniqueItems": true,
+      "items": {
+        "type": "object",
+        "additionalProperties": false,
+        "required": ["predicate_concept_id", "patient_concept_id"],
+        "properties": {
+          "predicate_concept_id": {"$ref": "#/$defs/id"},
+          "patient_concept_id": {"$ref": "#/$defs/id"}
+        }
+      }
+    }
+  },
+  "$defs": {
+    "id": {"type": "string", "pattern": "^[a-z][a-z0-9]*(?:[._-][a-z0-9]+)*$"},
+    "nonEmptyStrings": {
+      "type": "array",
+      "minItems": 1,
+      "uniqueItems": true,
+      "items": {"type": "string", "minLength": 1}
+    },
+    "mappingRelation": {
+      "enum": [
+        "exact_match",
+        "close_match",
+        "broad_match",
+        "narrow_match",
+        "related_match",
+        "composite",
+        "contextual",
+        "unmapped"
+      ]
+    },
+    "inputBinding": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["paths", "mode"],
+      "properties": {
+        "paths": {
+          "type": "array",
+          "minItems": 1,
+          "uniqueItems": true,
+          "items": {"type": "string", "pattern": "^[A-Za-z_][A-Za-z0-9_.-]*$"}
+        },
+        "mode": {"enum": ["first", "collect"]}
+      }
+    },
+    "outputBinding": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["slot", "mode"],
+      "properties": {
+        "slot": {"$ref": "#/$defs/id"},
+        "mode": {"enum": ["scalar", "list", "text", "concept", "generated_text"]}
+      }
+    },
+    "profile": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": [
+        "language_id",
+        "title",
+        "family",
+        "source_ids",
+        "native_units",
+        "annotation_rubric",
+        "known_loss_hazards",
+        "input_bindings",
+        "output_bindings",
+        "lexicalizations"
+      ],
+      "properties": {
+        "language_id": {"$ref": "#/$defs/id"},
+        "title": {"type": "string", "minLength": 1},
+        "family": {"$ref": "#/$defs/id"},
+        "source_ids": {
+          "type": "array",
+          "uniqueItems": true,
+          "items": {"$ref": "#/$defs/id"}
+        },
+        "evidence_urls": {
+          "type": "array",
+          "uniqueItems": true,
+          "items": {"type": "string", "format": "uri", "pattern": "^https://"}
+        },
+        "native_units": {"$ref": "#/$defs/nonEmptyStrings"},
+        "annotation_rubric": {"type": "string", "minLength": 1},
+        "known_loss_hazards": {
+          "type": "array",
+          "uniqueItems": true,
+          "items": {"type": "string", "minLength": 1}
+        },
+        "default_language_tag": {
+          "type": "string",
+          "pattern": "^[A-Za-z]{2,8}(?:-[A-Za-z0-9]{1,8})*$"
+        },
+        "shallow_text_parse": {"type": "boolean"},
+        "closed_predicate_vocabulary": {"type": "boolean"},
+        "canonical_semantics": {"type": "boolean"},
+        "default_speech_act": {"$ref": "#/$defs/id"},
+        "controlled_surface": {
+          "type": "object",
+          "additionalProperties": false,
+          "required": ["template", "realized_slots"],
+          "properties": {
+            "template": {
+              "type": "string",
+              "minLength": 1,
+              "allOf": [
+                {"pattern": "\\{predicate\\}"},
+                {"pattern": "\\{patient\\}"}
+              ]
+            },
+            "terminal_punctuation": {"type": "string", "maxLength": 1},
+            "realized_slots": {
+              "type": "array",
+              "minItems": 2,
+              "uniqueItems": true,
+              "items": {"$ref": "#/$defs/id"}
+            }
+          }
+        },
+        "input_bindings": {
+          "type": "object",
+          "propertyNames": {"$ref": "#/$defs/id"},
+          "additionalProperties": {"$ref": "#/$defs/inputBinding"}
+        },
+        "preserved_only_fields": {
+          "type": "array",
+          "uniqueItems": true,
+          "items": {"type": "string", "pattern": "^[A-Za-z_][A-Za-z0-9_.-]*$"}
+        },
+        "output_bindings": {
+          "type": "object",
+          "propertyNames": {"type": "string", "pattern": "^[A-Za-z_][A-Za-z0-9_.-]*$"},
+          "additionalProperties": {"$ref": "#/$defs/outputBinding"}
+        },
+        "lexicalizations": {
+          "type": "object",
+          "propertyNames": {"$ref": "#/$defs/id"},
+          "additionalProperties": {"type": "string", "minLength": 1}
+        },
+        "entity_lexicalizations": {
+          "type": "object",
+          "propertyNames": {"$ref": "#/$defs/id"},
+          "additionalProperties": {"type": "string", "minLength": 1}
+        }
+      }
+    },
+    "lexicalMapping": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": [
+        "rule_id",
+        "source_language_id",
+        "source_lexeme",
+        "concept_id",
+        "mapping_relation"
+      ],
+      "properties": {
+        "rule_id": {"$ref": "#/$defs/id"},
+        "source_language_id": {
+          "oneOf": [
+            {"const": "*"},
+            {"$ref": "#/$defs/id"}
+          ]
+        },
+        "source_lexeme": {"type": "string", "minLength": 1},
+        "concept_id": {"$ref": "#/$defs/id"},
+        "mapping_relation": {"$ref": "#/$defs/mappingRelation"}
+      }
+    }
+  }
+}

schemas/round-trip-audit.schema.json

@@ -0,0 +1,77 @@
+{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "$id": "https://huggingface.co/datasets/egobowwow/egobowwow-1k/resolve/v1.1.0/schemas/round-trip-audit.schema.json",
+  "title": "EgoBowWow multilingual semantic round-trip audit",
+  "type": "object",
+  "additionalProperties": false,
+  "required": [
+    "$schema",
+    "schema_version",
+    "profile_bundle_id",
+    "profile_bundle_digest",
+    "source_language_id",
+    "pivot_language_id",
+    "forward",
+    "backward",
+    "source_meaning_digest",
+    "recovered_meaning_digest",
+    "semantic_equivalent",
+    "source_information_digest",
+    "recovered_information_digest",
+    "portable_deconstruction_equivalent",
+    "original_source_recoverable",
+    "differences",
+    "evaluation_boundary",
+    "round_trip_id"
+  ],
+  "properties": {
+    "$schema": {"const": "../../schemas/round-trip-audit.schema.json"},
+    "schema_version": {"const": "1.0.0"},
+    "profile_bundle_id": {"$ref": "#/$defs/id"},
+    "profile_bundle_digest": {"$ref": "#/$defs/sha256"},
+    "source_language_id": {"$ref": "#/$defs/id"},
+    "pivot_language_id": {"$ref": "#/$defs/id"},
+    "forward": {"$ref": "universal-translation.schema.json"},
+    "backward": {"$ref": "universal-translation.schema.json"},
+    "source_meaning_digest": {"$ref": "#/$defs/sha256"},
+    "recovered_meaning_digest": {"$ref": "#/$defs/sha256"},
+    "semantic_equivalent": {"type": "boolean"},
+    "source_information_digest": {
+      "oneOf": [{"type": "null"}, {"$ref": "#/$defs/sha256"}]
+    },
+    "recovered_information_digest": {
+      "oneOf": [{"type": "null"}, {"$ref": "#/$defs/sha256"}]
+    },
+    "portable_deconstruction_equivalent": {"type": "boolean"},
+    "original_source_recoverable": {"type": "boolean"},
+    "differences": {
+      "type": "array",
+      "uniqueItems": true,
+      "items": {
+        "enum": [
+          "predicate_concept_id",
+          "arguments",
+          "goal",
+          "task",
+          "state_transition",
+          "outcome",
+          "correctness",
+          "error",
+          "hands",
+          "temporal",
+          "grounding",
+          "speech"
+        ]
+      }
+    },
+    "evaluation_boundary": {"type": "string", "minLength": 1},
+    "round_trip_id": {
+      "type": "string",
+      "pattern": "^round-trip:sha256:[0-9a-f]{64}$"
+    }
+  },
+  "$defs": {
+    "id": {"type": "string", "pattern": "^[a-z][a-z0-9]*(?:[._-][a-z0-9]+)*$"},
+    "sha256": {"type": "string", "pattern": "^sha256:[0-9a-f]{64}$"}
+  }
+}

schemas/universal-annotation-adapter.schema.json

@@ -0,0 +1,31 @@
+{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "$id": "https://huggingface.co/datasets/egobowwow/universal-annotations/resolve/v1.0.0/schemas/universal-annotation-adapter.schema.json",
+  "title": "Declarative Universal Annotation adapter",
+  "type": "object",
+  "additionalProperties": false,
+  "required": ["schema_version", "adapter_id", "target_schema_id", "rules"],
+  "properties": {
+    "schema_version": {"const": "1.0.0"},
+    "adapter_id": {"type": "string", "minLength": 1},
+    "target_schema_id": {"type": "string", "minLength": 1},
+    "rules": {
+      "type": "array",
+      "minItems": 1,
+      "items": {
+        "type": "object",
+        "additionalProperties": false,
+        "required": ["target_field", "predicate_id", "subject_kind", "subject_id", "object_representation", "cardinality", "required"],
+        "properties": {
+          "target_field": {"type": "string", "minLength": 1},
+          "predicate_id": {"type": "string", "minLength": 1},
+          "subject_kind": {"type": ["string", "null"]},
+          "subject_id": {"type": ["string", "null"]},
+          "object_representation": {"enum": ["node_id", "node_concept", "concept", "value"]},
+          "cardinality": {"enum": ["one", "many"]},
+          "required": {"type": "boolean"}
+        }
+      }
+    }
+  }
+}

schemas/universal-annotation-ontology.schema.json

@@ -0,0 +1,29 @@
+{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "$id": "https://huggingface.co/datasets/egobowwow/universal-annotations/resolve/v1.0.0/schemas/universal-annotation-ontology.schema.json",
+  "title": "Universal Annotation predicate ontology",
+  "type": "object",
+  "additionalProperties": false,
+  "required": ["schema_version", "ontology_id", "node_kinds", "predicates", "availability_dimensions"],
+  "properties": {
+    "schema_version": {"const": "1.0.0"},
+    "ontology_id": {"type": "string", "minLength": 1},
+    "node_kinds": {"type": "array", "minItems": 1, "uniqueItems": true, "items": {"type": "string", "minLength": 1}},
+    "predicates": {
+      "type": "array",
+      "minItems": 1,
+      "items": {
+        "type": "object",
+        "additionalProperties": false,
+        "required": ["predicate_id", "subject_kinds", "object_kinds", "meaning"],
+        "properties": {
+          "predicate_id": {"type": "string", "minLength": 1},
+          "subject_kinds": {"type": "array", "minItems": 1, "uniqueItems": true, "items": {"type": "string", "minLength": 1}},
+          "object_kinds": {"type": "array", "minItems": 1, "uniqueItems": true, "items": {"type": "string", "minLength": 1}},
+          "meaning": {"type": "string", "minLength": 1}
+        }
+      }
+    },
+    "availability_dimensions": {"type": "array", "uniqueItems": true, "items": {"type": "string", "minLength": 1}}
+  }
+}

schemas/universal-annotation-packet.schema.json

@@ -0,0 +1,178 @@
+{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "$id": "https://huggingface.co/datasets/egobowwow/universal-annotations/resolve/v1.0.0/schemas/universal-annotation-packet.schema.json",
+  "title": "Universal Annotation Packet",
+  "description": "Dataset-independent atomic claims with evidence, scope, epistemic status, provenance, language surfaces, and explicit availability.",
+  "type": "object",
+  "additionalProperties": false,
+  "required": ["schema_version", "packet_id", "ontology", "source", "evidence", "nodes", "claims", "expressions", "availability"],
+  "properties": {
+    "schema_version": {"const": "1.0.0"},
+    "packet_id": {"type": "string", "pattern": "^uap:sha256:[0-9a-f]{64}$"},
+    "ontology": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["ontology_id", "revision_digest"],
+      "properties": {
+        "ontology_id": {"type": "string", "minLength": 1},
+        "revision_digest": {"$ref": "#/$defs/digest"}
+      }
+    },
+    "source": {"$ref": "#/$defs/source"},
+    "evidence": {"type": "array", "items": {"$ref": "#/$defs/evidence"}},
+    "nodes": {"type": "array", "minItems": 1, "items": {"$ref": "#/$defs/node"}},
+    "claims": {"type": "array", "items": {"$ref": "#/$defs/claim"}},
+    "expressions": {"type": "array", "items": {"$ref": "#/$defs/expression"}},
+    "availability": {"type": "array", "items": {"$ref": "#/$defs/availability"}}
+  },
+  "$defs": {
+    "id": {"type": "string", "pattern": "^[A-Za-z][A-Za-z0-9_.:-]*$", "maxLength": 192},
+    "digest": {"type": "string", "pattern": "^sha256:[0-9a-f]{64}$"},
+    "nullableDigest": {"oneOf": [{"type": "null"}, {"$ref": "#/$defs/digest"}]},
+    "source": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["dataset_id", "schema_id", "record_id", "revision_digest", "native_record_digest", "license_expression"],
+      "properties": {
+        "dataset_id": {"$ref": "#/$defs/id"},
+        "schema_id": {"$ref": "#/$defs/id"},
+        "record_id": {"type": "string", "minLength": 1},
+        "revision_digest": {"$ref": "#/$defs/digest"},
+        "native_record_digest": {"$ref": "#/$defs/digest"},
+        "license_expression": {"type": ["string", "null"]}
+      }
+    },
+    "selector": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["clock_id", "start_ns", "end_ns"],
+      "properties": {
+        "clock_id": {"$ref": "#/$defs/id"},
+        "start_ns": {"type": "integer", "minimum": 0},
+        "end_ns": {"type": "integer", "minimum": 1}
+      }
+    },
+    "evidence": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["evidence_id", "evidence_kind", "artifact_digest", "selector", "source_field_path"],
+      "properties": {
+        "evidence_id": {"$ref": "#/$defs/id"},
+        "evidence_kind": {"enum": ["video", "image", "audio", "text", "sensor", "geometry", "human_judgment", "model_output", "derived_record"]},
+        "artifact_digest": {"$ref": "#/$defs/nullableDigest"},
+        "selector": {"oneOf": [{"type": "null"}, {"$ref": "#/$defs/selector"}]},
+        "source_field_path": {"type": ["string", "null"]}
+      }
+    },
+    "node": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["node_id", "node_kind", "concept_id", "attributes"],
+      "properties": {
+        "node_id": {"$ref": "#/$defs/id"},
+        "node_kind": {"enum": ["event", "agent", "effector", "object", "location", "state", "task", "sensor", "frame"]},
+        "concept_id": {"$ref": "#/$defs/id"},
+        "attributes": {"type": "object"}
+      }
+    },
+    "claimObject": {
+      "oneOf": [
+        {
+          "type": "object",
+          "additionalProperties": false,
+          "required": ["kind", "node_id"],
+          "properties": {"kind": {"const": "node_ref"}, "node_id": {"$ref": "#/$defs/id"}}
+        },
+        {
+          "type": "object",
+          "additionalProperties": false,
+          "required": ["kind", "concept_id"],
+          "properties": {"kind": {"const": "concept"}, "concept_id": {"$ref": "#/$defs/id"}}
+        },
+        {
+          "type": "object",
+          "additionalProperties": false,
+          "required": ["kind", "value", "unit_id"],
+          "properties": {
+            "kind": {"const": "value"},
+            "value": {},
+            "unit_id": {"type": ["string", "null"]}
+          }
+        }
+      ]
+    },
+    "scope": {
+      "type": ["object", "null"],
+      "additionalProperties": false,
+      "properties": {
+        "clock_id": {"type": ["string", "null"]},
+        "start_ns": {"type": ["integer", "null"], "minimum": 0},
+        "end_ns": {"type": ["integer", "null"], "minimum": 1},
+        "coordinate_frame_id": {"type": ["string", "null"]}
+      }
+    },
+    "epistemic": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["status", "confidence", "uncertainty", "visibility"],
+      "properties": {
+        "status": {"enum": ["observed", "measured", "human_annotated", "model_predicted", "derived", "reported"]},
+        "confidence": {"type": ["number", "null"], "minimum": 0, "maximum": 1},
+        "uncertainty": {"type": ["object", "null"]},
+        "visibility": {"enum": ["visible", "partially_occluded", "fully_occluded", "out_of_view", "not_visual", "unknown"]}
+      }
+    },
+    "provenance": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["producer_kind", "producer_digest", "method_id", "review_status", "review_receipt_digest"],
+      "properties": {
+        "producer_kind": {"enum": ["sensor", "human", "model", "algorithm", "mixed"]},
+        "producer_digest": {"$ref": "#/$defs/digest"},
+        "method_id": {"$ref": "#/$defs/id"},
+        "review_status": {"enum": ["unreviewed", "single_review", "double_review", "adjudicated", "sensor_qa_pass"]},
+        "review_receipt_digest": {"$ref": "#/$defs/nullableDigest"}
+      }
+    },
+    "claim": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["claim_id", "subject_id", "predicate_id", "object", "scope", "evidence_ids", "epistemic", "provenance"],
+      "properties": {
+        "claim_id": {"$ref": "#/$defs/id"},
+        "subject_id": {"$ref": "#/$defs/id"},
+        "predicate_id": {"$ref": "#/$defs/id"},
+        "object": {"$ref": "#/$defs/claimObject"},
+        "scope": {"$ref": "#/$defs/scope"},
+        "evidence_ids": {"type": "array", "minItems": 1, "uniqueItems": true, "items": {"$ref": "#/$defs/id"}},
+        "epistemic": {"$ref": "#/$defs/epistemic"},
+        "provenance": {"$ref": "#/$defs/provenance"}
+      }
+    },
+    "expression": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["expression_id", "locale", "text", "speech_act", "claim_ids", "method", "review_status", "review_receipt_digest"],
+      "properties": {
+        "expression_id": {"$ref": "#/$defs/id"},
+        "locale": {"type": "string", "minLength": 2},
+        "text": {"type": "string", "minLength": 1},
+        "speech_act": {"enum": ["observation", "directive", "question", "answer", "warning", "feedback", "unknown"]},
+        "claim_ids": {"type": "array", "minItems": 1, "uniqueItems": true, "items": {"$ref": "#/$defs/id"}},
+        "method": {"enum": ["source", "human_translation", "algorithmic_projection", "model_candidate"]},
+        "review_status": {"enum": ["source_verified", "pending", "single_review", "bilingual_adjudicated"]},
+        "review_receipt_digest": {"$ref": "#/$defs/nullableDigest"}
+      }
+    },
+    "availability": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["dimension_id", "status", "reason"],
+      "properties": {
+        "dimension_id": {"$ref": "#/$defs/id"},
+        "status": {"enum": ["present", "not_collected", "not_applicable", "unknown"]},
+        "reason": {"type": "string", "minLength": 1}
+      }
+    }
+  }
+}

schemas/universal-annotation-projection.schema.json

@@ -0,0 +1,28 @@
+{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "$id": "https://huggingface.co/datasets/egobowwow/universal-annotations/resolve/v1.0.0/schemas/universal-annotation-projection.schema.json",
+  "title": "Loss-audited Universal Annotation projection",
+  "type": "object",
+  "additionalProperties": false,
+  "required": ["schema_version", "source_packet_id", "adapter_id", "target_schema_id", "target_record", "coverage", "adapter_digest", "projection_id"],
+  "properties": {
+    "schema_version": {"const": "1.0.0"},
+    "source_packet_id": {"type": "string", "pattern": "^uap:sha256:[0-9a-f]{64}$"},
+    "adapter_id": {"type": "string", "minLength": 1},
+    "target_schema_id": {"type": "string", "minLength": 1},
+    "target_record": {"type": "object"},
+    "coverage": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["represented_claim_ids", "omitted_claim_ids", "required_missing_fields", "loss_status"],
+      "properties": {
+        "represented_claim_ids": {"type": "array", "uniqueItems": true, "items": {"type": "string"}},
+        "omitted_claim_ids": {"type": "array", "uniqueItems": true, "items": {"type": "string"}},
+        "required_missing_fields": {"type": "array", "uniqueItems": true, "items": {"type": "string"}},
+        "loss_status": {"enum": ["exact", "lossy", "blocked"]}
+      }
+    },
+    "adapter_digest": {"type": "string", "pattern": "^sha256:[0-9a-f]{64}$"},
+    "projection_id": {"type": "string", "pattern": "^uap-projection:sha256:[0-9a-f]{64}$"}
+  }
+}

schemas/universal-translation.schema.json

@@ -0,0 +1,285 @@
+{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "$id": "https://huggingface.co/datasets/egobowwow/egobowwow-1k/resolve/v1.1.0/schemas/universal-translation.schema.json",
+  "title": "EgoBowWow UniversalLabeler translation envelope",
+  "description": "A source-preserving translation, grounded universal event graph, projection-loss audit, deterministic trace, and optional provider-neutral teacher proposal.",
+  "type": "object",
+  "additionalProperties": false,
+  "required": [
+    "$schema",
+    "schema_version",
+    "profile_bundle_id",
+    "profile_bundle_digest",
+    "source_language_id",
+    "target_language_id",
+    "status",
+    "requires_review",
+    "target_label",
+    "universal_semantics",
+    "loss_report",
+    "translation_trace",
+    "teacher_proposal",
+    "translation_id"
+  ],
+  "properties": {
+    "$schema": {"const": "../../schemas/universal-translation.schema.json"},
+    "schema_version": {"const": "1.1.0"},
+    "profile_bundle_id": {"$ref": "#/$defs/id"},
+    "profile_bundle_digest": {"$ref": "#/$defs/sha256"},
+    "source_language_id": {"$ref": "#/$defs/id"},
+    "target_language_id": {"$ref": "#/$defs/id"},
+    "status": {"enum": ["translated", "abstained"]},
+    "requires_review": {"type": "boolean"},
+    "target_label": {"type": "object"},
+    "universal_semantics": {"$ref": "#/$defs/universalSemantics"},
+    "loss_report": {
+      "type": "array",
+      "items": {"$ref": "#/$defs/lossItem"}
+    },
+    "translation_trace": {
+      "type": "array",
+      "items": {"$ref": "#/$defs/traceItem"}
+    },
+    "teacher_proposal": {
+      "oneOf": [
+        {"type": "null"},
+        {"$ref": "#/$defs/teacherProposal"}
+      ]
+    },
+    "translation_id": {
+      "type": "string",
+      "pattern": "^translation:sha256:[0-9a-f]{64}$"
+    }
+  },
+  "$defs": {
+    "id": {"type": "string", "pattern": "^[a-z][a-z0-9]*(?:[._-][a-z0-9]+)*$"},
+    "sha256": {"type": "string", "pattern": "^sha256:[0-9a-f]{64}$"},
+    "mappingRelation": {
+      "enum": [
+        "exact_match",
+        "close_match",
+        "broad_match",
+        "narrow_match",
+        "related_match",
+        "composite",
+        "contextual",
+        "unmapped"
+      ]
+    },
+    "predicate": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["source_surface", "concept_id", "mapping_relation"],
+      "properties": {
+        "source_surface": {"type": ["string", "null"]},
+        "concept_id": {
+          "oneOf": [
+            {"type": "null"},
+            {"$ref": "#/$defs/id"}
+          ]
+        },
+        "mapping_relation": {"$ref": "#/$defs/mappingRelation"}
+      }
+    },
+    "argument": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["role", "surface", "concept_id", "mapping_relation"],
+      "properties": {
+        "role": {"enum": ["patient", "instrument", "source", "destination"]},
+        "surface": {},
+        "concept_id": {
+          "oneOf": [{"type": "null"}, {"$ref": "#/$defs/id"}]
+        },
+        "mapping_relation": {"$ref": "#/$defs/mappingRelation"}
+      }
+    },
+    "temporal": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["interval_semantics", "start_ns", "end_ns"],
+      "properties": {
+        "interval_semantics": {"const": "half_open"},
+        "start_ns": {"type": "integer", "minimum": 0},
+        "end_ns": {"type": "integer", "minimum": 1}
+      }
+    },
+    "stateTransition": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["before", "after"],
+      "properties": {"before": {}, "after": {}}
+    },
+    "event": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": [
+        "predicate",
+        "arguments",
+        "goal",
+        "task",
+        "state_transition",
+        "outcome",
+        "correctness",
+        "error",
+        "hands",
+        "temporal"
+      ],
+      "properties": {
+        "predicate": {"$ref": "#/$defs/predicate"},
+        "arguments": {"type": "array", "items": {"$ref": "#/$defs/argument"}},
+        "goal": {},
+        "task": {},
+        "state_transition": {
+          "oneOf": [{"type": "null"}, {"$ref": "#/$defs/stateTransition"}]
+        },
+        "outcome": {},
+        "correctness": {},
+        "error": {},
+        "hands": {"type": "array"},
+        "temporal": {
+          "oneOf": [{"type": "null"}, {"$ref": "#/$defs/temporal"}]
+        }
+      }
+    },
+    "speech": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": [
+        "verbatim",
+        "language_tag",
+        "speech_act",
+        "register",
+        "manner",
+        "purpose",
+        "polarity",
+        "aspect",
+        "modality",
+        "politeness",
+        "honorific",
+        "code_switch_spans"
+      ],
+      "properties": {
+        "verbatim": {},
+        "language_tag": {"type": ["string", "null"]},
+        "speech_act": {},
+        "register": {},
+        "manner": {},
+        "purpose": {},
+        "polarity": {},
+        "aspect": {},
+        "modality": {},
+        "politeness": {},
+        "honorific": {},
+        "code_switch_spans": {"type": "array"}
+      }
+    },
+    "preservation": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["source_language_id", "source_label", "source_label_digest"],
+      "properties": {
+        "source_language_id": {"$ref": "#/$defs/id"},
+        "source_label": {"type": "object", "minProperties": 1},
+        "source_label_digest": {"$ref": "#/$defs/sha256"}
+      }
+    },
+    "universalSemantics": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["uls_version", "event", "speech", "grounding", "preservation"],
+      "properties": {
+        "uls_version": {"const": "1.1.0"},
+        "event": {"$ref": "#/$defs/event"},
+        "speech": {"$ref": "#/$defs/speech"},
+        "grounding": {"type": ["object", "null"]},
+        "preservation": {"$ref": "#/$defs/preservation"}
+      },
+      "allOf": [
+        {
+          "if": {"properties": {"grounding": {"type": "object"}}},
+          "then": {"properties": {"grounding": {"$ref": "grounded-label-graph.schema.json"}}}
+        }
+      ]
+    },
+    "lossItem": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["dimension", "severity", "kind", "detail"],
+      "properties": {
+        "dimension": {
+          "enum": [
+            "accuracy",
+            "terminology",
+            "speech",
+            "temporal",
+            "provenance",
+            "linguistic_conventions",
+            "style",
+            "locale"
+          ]
+        },
+        "severity": {"enum": ["info", "warning", "blocking"]},
+        "kind": {"$ref": "#/$defs/id"},
+        "source_slot": {"$ref": "#/$defs/id"},
+        "source_field": {"type": "string", "minLength": 1},
+        "detail": {"type": "string", "minLength": 1}
+      }
+    },
+    "traceItem": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["operation"],
+      "properties": {
+        "operation": {
+          "enum": [
+            "extract",
+            "shallow_text_parse",
+            "controlled_text_parse",
+            "canonical_packet_ingest",
+            "lexical_map",
+            "entity_lexical_map",
+            "surface_generate",
+            "teacher_escalation"
+          ]
+        },
+        "slot": {"$ref": "#/$defs/id"},
+        "source_paths": {"type": "array", "items": {"type": "string"}},
+        "value_digest": {"$ref": "#/$defs/sha256"},
+        "method": {"type": "string"},
+        "source_lexeme": {"type": "string"},
+        "concept_id": {"$ref": "#/$defs/id"},
+        "mapping_relation": {"$ref": "#/$defs/mappingRelation"},
+        "rule_id": {"$ref": "#/$defs/id"},
+        "decision": {"enum": ["map", "abstain"]},
+        "response_digest": {"$ref": "#/$defs/sha256"}
+      }
+    },
+    "teacherProposal": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": [
+        "decision",
+        "concept_id",
+        "confidence",
+        "rationale",
+        "model",
+        "response_digest",
+        "authority",
+        "target_text"
+      ],
+      "properties": {
+        "decision": {"enum": ["map", "abstain"]},
+        "concept_id": {
+          "oneOf": [{"type": "null"}, {"$ref": "#/$defs/id"}]
+        },
+        "confidence": {"type": "number", "minimum": 0, "maximum": 1},
+        "rationale": {"type": "string", "minLength": 1},
+        "model": {"type": "string", "minLength": 1},
+        "response_digest": {"$ref": "#/$defs/sha256"},
+        "authority": {"const": "proposal_only_requires_independent_review"},
+        "target_text": {"type": ["string", "null"], "minLength": 1}
+      }
+    }
+  }
+}

schemas/world-model-label-audit.schema.json

@@ -0,0 +1,60 @@
+{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "$id": "https://huggingface.co/datasets/egobowwow/egobowwow-1k/resolve/v1.0.0/schemas/world-model-label-audit.schema.json",
+  "title": "World-model dataset label audit",
+  "type": "object",
+  "additionalProperties": false,
+  "required": ["$schema", "schema_version", "audit_id", "researched_at", "boundary", "universal_dimensions", "typed_label_kinds", "sources"],
+  "properties": {
+    "$schema": {"const": "../schemas/world-model-label-audit.schema.json"},
+    "schema_version": {"const": "1.0.0"},
+    "audit_id": {"$ref": "#/$defs/id"},
+    "researched_at": {"type": "string", "format": "date"},
+    "boundary": {"type": "string", "minLength": 1},
+    "universal_dimensions": {
+      "type": "array",
+      "minItems": 20,
+      "uniqueItems": true,
+      "items": {"$ref": "#/$defs/dimension"}
+    },
+    "typed_label_kinds": {
+      "type": "array",
+      "minItems": 13,
+      "maxItems": 13,
+      "uniqueItems": true,
+      "items": {"$ref": "eval-common.schema.json#/$defs/labelKind"}
+    },
+    "sources": {"type": "array", "minItems": 6, "items": {"$ref": "#/$defs/source"}}
+  },
+  "$defs": {
+    "id": {"type": "string", "pattern": "^[a-z][a-z0-9]*(?:[._-][a-z0-9]+)*$"},
+    "nonEmptyStrings": {"type": "array", "minItems": 1, "uniqueItems": true, "items": {"type": "string", "minLength": 1}},
+    "dimension": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["dimension_id", "graph_paths", "rubric"],
+      "properties": {
+        "dimension_id": {"$ref": "#/$defs/id"},
+        "graph_paths": {"$ref": "#/$defs/nonEmptyStrings"},
+        "rubric": {"type": "string", "minLength": 1}
+      }
+    },
+    "source": {
+      "type": "object",
+      "additionalProperties": false,
+      "required": ["source_id", "title", "paper_url", "official_url", "release_year", "native_units", "annotation_rubric", "supervision", "supported_dimensions", "known_gaps"],
+      "properties": {
+        "source_id": {"$ref": "#/$defs/id"},
+        "title": {"type": "string", "minLength": 1},
+        "paper_url": {"type": "string", "format": "uri", "pattern": "^https://"},
+        "official_url": {"type": "string", "format": "uri", "pattern": "^https://"},
+        "release_year": {"type": "integer", "minimum": 2023, "maximum": 2100},
+        "native_units": {"$ref": "#/$defs/nonEmptyStrings"},
+        "annotation_rubric": {"type": "string", "minLength": 1},
+        "supervision": {"$ref": "#/$defs/nonEmptyStrings"},
+        "supported_dimensions": {"type": "array", "minItems": 2, "uniqueItems": true, "items": {"$ref": "#/$defs/id"}},
+        "known_gaps": {"type": "array", "minItems": 1, "uniqueItems": true, "items": {"type": "string", "minLength": 1}}
+      }
+    }
+  }
+}