Accurate BIM Sign Bank attribution: MFD + Guidewire Gives Back, non-commercial research

croissant.json

@@ -91,7 +91,7 @@
     "url": "https://huggingface.co/mysigner"
   },
   "isLiveDataset": false,
-  "rai:dataCollection": "MySign is a 3D isolated-sign dataset for Bahasa Isyarat Malaysia (BIM), captured in a dedicated motion-capture laboratory. Five Deaf native BIM signers were each prompted, sign by sign, with 1,000 glosses drawn from the authorized BIM Sign Bank (selected by the research team under the supervision of a Deaf advisor to cover everyday BIM across nine main categories and 46 subcategories). For each prompt the signer was shown a slide with the target gloss label and the BIM Sign Bank reference video, and signed once. Upper-body kinematics were recorded with a six-camera OptiTrack system at 200 Hz using 35 reflective markers placed per a standard clinical (ISB) protocol; finger motion was captured with MANUS Prime 3 Data Gloves, hardware-synchronized with the optical system. Marker trajectories were reconstructed in OptiTrack Motive 3.0.3 to yield 3D joint positions/orientations, then retargeted to the SMPL-X body model using the Rokoko Retarget plugin (v1.4.3) in Blender 4.5.2 to obtain a unified parametric motion representation. The released .fbx files contain the resulting per-take SMPL-X-aligned skeletal animation. Each gloss is recorded exactly once per signer, giving 5 x 1000 = 5,000 instances, ~15.57M synchronized frames, ~36 hours of recording.",
+  "rai:dataCollection": "MySign is a 3D isolated-sign dataset for Bahasa Isyarat Malaysia (BIM), captured in a dedicated motion-capture laboratory. Five Deaf native BIM signers were each prompted, sign by sign, with 1,000 glosses drawn from the authorized BIM Sign Bank (drawn from the BIM Sign Bank developed by the Malaysian Federation of the Deaf and Guidewire Gives Back, used under non-commercial research authorization, and selected by the research team under the supervision of a Deaf advisor to cover everyday BIM across nine main categories and 46 subcategories). For each prompt the signer was shown a slide with the target gloss label and the BIM Sign Bank reference video, and signed once. Upper-body kinematics were recorded with a six-camera OptiTrack system at 200 Hz using 35 reflective markers placed per a standard clinical (ISB) protocol; finger motion was captured with MANUS Prime 3 Data Gloves, hardware-synchronized with the optical system. Marker trajectories were reconstructed in OptiTrack Motive 3.0.3 to yield 3D joint positions/orientations, then retargeted to the SMPL-X body model using the Rokoko Retarget plugin (v1.4.3) in Blender 4.5.2 to obtain a unified parametric motion representation. The released .fbx files contain the resulting per-take SMPL-X-aligned skeletal animation. Each gloss is recorded exactly once per signer, giving 5 x 1000 = 5,000 instances, ~15.57M synchronized frames, ~36 hours of recording.",
   "rai:dataCollectionType": [
     "Manual Human Curated",
     "Sensor-recorded"
@@ -129,15 +129,18 @@
     "Cross-sign-language transfer studies that benefit from a parametric (SMPL-X) representation comparable across corpora."
   ],
   "rai:dataLimitations": "MySign captures isolated signs only: it does not contain continuous signing, sentences, conversations, classifier constructions, or non-manual markers (facial expression, mouthing, eye gaze) beyond what the SMPL-X skeleton captures. The vocabulary is fixed at 1,000 BIM Sign Bank glosses and is not corpus-driven. Five signers, while balanced across ethnicity and gender, are too few to support strong claims about signer-independent generalization across the full BIM-using population. The release is fully retargeted SMPL-X data; raw OptiTrack marker streams and raw MANUS glove streams are not released, so users who want to study marker-level kinematics cannot do so from the public release. Per-joint ROM clamping removes anatomically inadmissible configurations but, by construction, may slightly attenuate idiosyncratic motion at the boundary of the admissible region.",
-  "rai:dataSocialImpact": "Intended impact: BIM is under-resourced relative to languages such as ASL, and a freely available 3D motion-capture dataset of native-signer BIM lowers the cost of building accessibility tools (educational apps, avatar-based interpreters, recognition and generation systems) for the Malaysian Deaf community. The cohort is built around Deaf native signers and the vocabulary is curated under Deaf supervision against the authorized BIM Sign Bank, so the released signs reflect native usage rather than learner approximations. Risks: low-quality recognition or generation systems trained on this small dataset could be deployed in high-stakes settings (legal, medical, educational interpretation) where errors would harm Deaf users; biometric re-identification of a participant from skeletal kinematics is in principle possible (gait/movement biometrics), so signers should be considered pseudonymous rather than fully anonymous. We expect downstream system builders to validate with the BIM-using community before deployment.",
+  "rai:dataSocialImpact": "Intended impact: Bahasa Isyarat Malaysia is under-resourced relative to languages such as ASL, and a freely available 3D motion-capture dataset of native-signer BIM lowers the cost of building accessibility tools (educational apps, avatar-based interpreters, recognition and generation systems) for the Malaysian Deaf community. The cohort consists of Deaf native signers, the vocabulary is sourced from the BIM Sign Bank (developed by the Deaf-led Malaysian Federation of the Deaf together with Guidewire Gives Back), and gloss selection was supervised by a Deaf advisor, so the released signs reflect community-sanctioned native usage rather than learner approximations. Risks: low-quality recognition or generation systems trained on this small dataset could be deployed in high-stakes settings (legal, medical, educational interpretation) where errors would harm Deaf users; biometric re-identification of a participant from skeletal kinematics is in principle possible (gait/movement biometrics), so signers should be considered pseudonymous rather than fully anonymous. We expect downstream system builders to validate with the BIM-using community before deployment.",
   "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/"
+      "url": "https://www.bimsignbank.org/home",
+      "license": "Non-commercial research use only; no Sign Bank video, image, or audio is redistributed in MySign",
+      "publisher": "Malaysian Federation of the Deaf (MFD) and Guidewire Gives Back",
+      "publisherUrl": "https://www.mymfdeaf.org/",
+      "description": "BIM Sign Bank is the official sign language resource bank for Bahasa Isyarat Malaysia (Malaysian Sign Language), developed by the Malaysian Federation of the Deaf (MFD) together with Guidewire Gives Back. It served as the source of the 1,000-gloss vocabulary in MySign and as the per-trial reference video shown to signers during recording. Each MySign instance is anchored at capture time to a specific BIM Sign Bank entry. No Sign Bank video, image, or audio is redistributed in MySign."
     }
   ],
   "rai:provenance": [