Add source datasets and provenance activities for NeurIPS RAI

croissant.json

@@ -115,6 +115,70 @@
   "rai:personalSensitiveInformation": "Released files contain only skeletal motion: SMPL-X joint rotations and translations derived from OptiTrack marker trajectories and MANUS glove streams. No images, video, audio, or facial textures of the signers are released. No name, address, contact information, or other direct personal identifier is included. Signers are referenced only by opaque IDs (Signer001 ... Signer005). Re-identification of a signer from skeletal kinematics alone is in principle possible (movement biometrics); the dataset should therefore be treated as pseudonymous. All capture procedures were reviewed and approved by the institutional Human Research Ethics Committee (HREC). Recruitment and consent materials were delivered primarily in BIM (including short explanatory videos), each participant signed a written consent form before their first session, participation was voluntary, and participants received 50 MYR per session, exceeding the local minimum wage.",
   "rai:dataReleaseMaintenancePlan": "The dataset is hosted on the Hugging Face Hub at https://huggingface.co/datasets/mysigner/MySign. The git history of that repository is the canonical version log; metadata.csv, croissant.json, and README.md are versioned alongside the data. Errata, corrections, and clarifications will be applied in-place with descriptive commit messages. The released signer-independent train/test split is fixed and will not be silently reshuffled. Issues, errata, and takedown requests can be filed via the dataset's Hugging Face Community tab. There is no scheduled deprecation; if the dataset is superseded by a future release, the current version will remain accessible via git history.",
 
+  "rai:sourceDatasets": [
+    {
+      "@type": "sc:Dataset",
+      "name": "BIM Sign Bank",
+      "description": "Authoritative reference vocabulary and reference videos for Bahasa Isyarat Malaysia (BIM). Used to source the 1,000-gloss vocabulary and as the per-trial prompt during recording. Each MySign instance is anchored at capture time to a specific BIM Sign Bank entry, so the released gloss labels are community-sanctioned by construction. Used under authorization for research use; no Sign Bank video, image, or audio is redistributed in MySign.",
+      "url": "https://www.mybimsignbank.com/"
+    }
+  ],
+
+  "rai:provenance": [
+    {
+      "@type": "rai:Activity",
+      "name": "Vocabulary selection",
+      "description": "1,000 BIM glosses drawn from the authorized BIM Sign Bank, selected by the research team under the guidance of a Deaf supervisor to cover natural and commonly used BIM across nine main categories (conversation, culture, daily-life, general, health, nature, people, things, time) and 46 subcategories.",
+      "agentType": "Human"
+    },
+    {
+      "@type": "rai:Activity",
+      "name": "Participant recruitment",
+      "description": "Five Deaf native BIM signers (3 male, 2 female; ages 25-60; height 150-178 cm; representing four ethnic backgrounds in the Malaysian Deaf community: Malay, Chinese, Indian, Kadazan). Recruitment via Deaf-community mailing lists and snowball sampling. Recruitment and consent materials were delivered primarily in BIM, including short explanatory videos. All procedures reviewed and approved by the institutional Human Research Ethics Committee (HREC). Each participant signed a written consent form before their first session; participation was voluntary; participants received 50 MYR per session, exceeding the local minimum wage.",
+      "agentType": "Human"
+    },
+    {
+      "@type": "rai:Activity",
+      "name": "Motion capture",
+      "description": "In-studio recording on a six-camera OptiTrack system at 200 Hz, with 35 reflective markers per signer placed per the ISB clinical protocol, plus MANUS Prime 3 Data Gloves for finger kinematics, hardware-synchronized with the optical system. Per-signer glove calibration in MANUS Core; per-session optical calibration verified by wand calibration residual below 1 mm and full marker visibility throughout the capture volume. Each prompt slide displayed the BIM Sign Bank gloss and reference video; the signer produced exactly one take per prompt; takes that did not meet calibration conditions were re-recorded.",
+      "agentType": "Human + Sensor"
+    },
+    {
+      "@type": "rai:Activity",
+      "name": "Marker reconstruction",
+      "description": "Marker trajectories processed in OptiTrack Motive 3.0.3 to reconstruct 3D joint positions and orientations.",
+      "agentType": "Software",
+      "tool": "OptiTrack Motive 3.0.3"
+    },
+    {
+      "@type": "rai:Activity",
+      "name": "SMPL-X retargeting",
+      "description": "Reconstructed joints retargeted onto the canonical SMPL-X body model using the Rokoko Retarget plugin v1.4.3 in Blender 4.5.2, producing a unified parametric motion representation.",
+      "agentType": "Software",
+      "tool": "Rokoko Retarget v1.4.3 in Blender 4.5.2"
+    },
+    {
+      "@type": "rai:Activity",
+      "name": "Anatomical ROM clamping",
+      "description": "Per-joint range-of-motion (ROM) clamping on fitted SMPL-X parameters. Upper-limb joints are clamped directly in the SMPL-X frame; finger joints are first mapped into a flexion/abduction/rotation anatomical frame via per-joint change-of-basis transforms, clamped there, and inverted back. Bounds specified independently for left and right hands. Removes anatomically inadmissible (over-flexed, hyper-abducted) finger configurations.",
+      "agentType": "Software",
+      "tool": "Custom Python pipeline"
+    },
+    {
+      "@type": "rai:Activity",
+      "name": "Index-table generation",
+      "description": "metadata.csv built by generate_metadata_remote.py: lists every Signer*/*.fbx via the Hugging Face Hub API, parses signer_id and take from the path, and normalizes the gloss label (separator unification, uppercasing, time-unit abbreviation expansion, parenthesis cleanup, plural-singular merging with an audit print and human-curated block-list).",
+      "agentType": "Software",
+      "tool": "huggingface_hub + Python regex (generate_metadata_remote.py)"
+    },
+    {
+      "@type": "rai:Activity",
+      "name": "Post-hoc expert perceptual review",
+      "description": "Three Deaf native signers with BIM domain expertise viewed each rendered 3D sign in an interactive web interface (no reference gloss shown), reported the perceived gloss, and rated motion naturalness on a 1-5 scale. Mean gloss-recognition accuracy 86.3% with substantial inter-rater agreement (Fleiss' kappa = 0.73); mean naturalness 3.87 +/- 0.71. Released as quality metadata only; not used to filter or modify the dataset.",
+      "agentType": "Human"
+    }
+  ],
+
   "distribution": [
     {
       "@type": "cr:FileObject",