Final NeurIPS RAI: 8/8 fields complete (sourceDatasets + provenance + hasSyntheticData)

croissant.json

@@ -6,11 +6,20 @@
     "column": "cr:column",
     "conformsTo": "dct:conformsTo",
     "cr": "http://mlcommons.org/croissant/",
-    "data": { "@id": "cr:data", "@type": "@json" },
-    "dataType": { "@id": "cr:dataType", "@type": "@vocab" },
+    "data": {
+      "@id": "cr:data",
+      "@type": "@json"
+    },
+    "dataType": {
+      "@id": "cr:dataType",
+      "@type": "@vocab"
+    },
     "dct": "http://purl.org/dc/terms/",
     "equivalentProperty": "cr:equivalentProperty",
-    "examples": { "@id": "cr:examples", "@type": "@json" },
+    "examples": {
+      "@id": "cr:examples",
+      "@type": "@json"
+    },
     "extract": "cr:extract",
     "field": "cr:field",
     "fileProperty": "cr:fileProperty",
@@ -35,7 +44,8 @@
     "separator": "cr:separator",
     "source": "cr:source",
     "subField": "cr:subField",
-    "transform": "cr:transform"
+    "transform": "cr:transform",
+    "prov": "http://www.w3.org/ns/prov#"
   },
   "@type": "sc:Dataset",
   "@id": "https://huggingface.co/datasets/mysigner/MySign",
@@ -44,7 +54,10 @@
     "http://mlcommons.org/croissant/RAI/1.0"
   ],
   "name": "MySign",
-  "alternateName": ["mysigner/MySign", "MySign-2026"],
+  "alternateName": [
+    "mysigner/MySign",
+    "MySign-2026"
+  ],
   "description": "MySign is a 3D motion-capture dataset of Bahasa Isyarat Malaysia (Malaysian Sign Language, BIM) for fine-grained sign language generation and recognition. It comprises 5,000 isolated-sign instances (5 Deaf native signers x 1,000 BIM Sign Bank glosses, fully balanced with no missing entries), captured at 200 Hz with a six-camera OptiTrack system plus MANUS Prime 3 Data Gloves and retargeted to the SMPL-X body model, totaling approximately 15.57M synchronized frames and 36 hours of recording. The 1,000-gloss vocabulary spans nine main categories (conversation, culture, daily-life, general, health, nature, people, things, time) and 46 subcategories. Each instance is anchored to an authorized BIM Sign Bank entry at capture time, so the gloss label is community-sanctioned by construction rather than by post-hoc rating. The release uses Filmbox (.fbx) skeletal animation, organized as Signer001/ ... Signer005/. metadata.csv is an index over the .fbx files (file_name, gloss, signer_id, take). A signer-independent train/test split is provided (4 signers train, 1 test). All recordings are skeletal-only (no video, audio, or facial texture).",
   "citeAs": "@misc{mysign2026,\n  title        = {MySign: A 3D Motion-Capture Dataset of Malaysian Sign Language},\n  author       = {{mysigner}},\n  year         = {2026},\n  howpublished = {Hugging Face Datasets},\n  url          = {https://huggingface.co/datasets/mysigner/MySign},\n  note         = {CC BY-NC-SA 4.0}\n}",
   "url": "https://huggingface.co/datasets/mysigner/MySign",
@@ -52,7 +65,10 @@
   "license": "https://creativecommons.org/licenses/by-nc-sa/4.0/",
   "version": "1.0.0",
   "datePublished": "2026-01-01",
-  "inLanguage": ["ms", "zsm"],
+  "inLanguage": [
+    "ms",
+    "zsm"
+  ],
   "keywords": [
     "sign-language",
     "Malaysian Sign Language",
@@ -75,9 +91,11 @@
     "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:dataCollectionType": ["Manual Human Curated", "Sensor-recorded"],
+  "rai:dataCollectionType": [
+    "Manual Human Curated",
+    "Sensor-recorded"
+  ],
   "rai:dataCollectionMissingData": "The dataset is fully balanced: every (signer, gloss) pair from the 5 x 1,000 grid has exactly one recording, with no missing entries. Coverage of BIM beyond the 1,000-gloss vocabulary is intentionally out of scope.",
   "rai:dataCollectionRawData": "The raw data are skeletal kinematics: 200 Hz OptiTrack marker trajectories (35 reflective markers per signer, ISB clinical placement) and time-aligned MANUS Prime 3 Data Glove finger streams. No video, audio, or photographic recordings of the signers are retained or released. The released .fbx files are the post-processing output (SMPL-X retargeted skeletal animation), not the raw marker stream.",
   "rai:dataCollectionTimeframe": "2025-02/2026-03",
@@ -114,7 +132,6 @@
   "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: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",
@@ -123,7 +140,6 @@
       "url": "https://www.mybimsignbank.com/"
     }
   ],
-
   "rai:provenance": [
     {
       "@type": "rai:Activity",
@@ -178,7 +194,6 @@
       "agentType": "Human"
     }
   ],
-
   "distribution": [
     {
       "@type": "cr:FileObject",
@@ -194,19 +209,22 @@
       "@id": "metadata.csv",
       "name": "metadata.csv",
       "description": "Index file. One row per .fbx file with columns: file_name, gloss, signer_id, take.",
-      "containedIn": { "@id": "repo" },
+      "containedIn": {
+        "@id": "repo"
+      },
       "contentUrl": "metadata.csv",
       "encodingFormat": "text/csv"
     }
   ],
-
   "recordSet": [
     {
       "@type": "cr:RecordSet",
       "@id": "signs",
       "name": "signs",
       "description": "One record per .fbx file. The file_name column is the relative path inside the repository, e.g. 'Signer001/Above.fbx'. The .fbx files themselves are not formally declared as a Croissant FileSet (FBX has no native Croissant semantics); see the README for the file layout.",
-      "key": { "@id": "signs/file_name" },
+      "key": {
+        "@id": "signs/file_name"
+      },
       "field": [
         {
           "@type": "cr:Field",
@@ -215,8 +233,12 @@
           "description": "Repository-relative path to the FBX file, e.g. 'Signer001/Above.fbx'. Resolves to https://huggingface.co/datasets/mysigner/MySign/resolve/main/<file_name>. Kept as plain Text so consumers can choose when (and whether) to load the binary FBX content.",
           "dataType": "sc:Text",
           "source": {
-            "fileObject": { "@id": "metadata.csv" },
-            "extract": { "column": "file_name" }
+            "fileObject": {
+              "@id": "metadata.csv"
+            },
+            "extract": {
+              "column": "file_name"
+            }
           }
         },
         {
@@ -226,8 +248,12 @@
           "description": "Normalized gloss label for the sign (UPPERCASE; '/' separates synonyms; '(I)', '(II)' disambiguate homonyms; numerals and time units like '1 HOUR' are spelled out).",
           "dataType": "sc:Text",
           "source": {
-            "fileObject": { "@id": "metadata.csv" },
-            "extract": { "column": "gloss" }
+            "fileObject": {
+              "@id": "metadata.csv"
+            },
+            "extract": {
+              "column": "gloss"
+            }
           }
         },
         {
@@ -237,8 +263,12 @@
           "description": "Identifier of the signer who performed the sign. One of 'Signer001' .. 'Signer005'.",
           "dataType": "sc:Text",
           "source": {
-            "fileObject": { "@id": "metadata.csv" },
-            "extract": { "column": "signer_id" }
+            "fileObject": {
+              "@id": "metadata.csv"
+            },
+            "extract": {
+              "column": "signer_id"
+            }
           }
         },
         {
@@ -248,11 +278,16 @@
           "description": "Take number for the (signer, gloss) pair. The original recording is take 1; Blender-style duplicate suffixes .001/.002 map to takes 2/3.",
           "dataType": "sc:Integer",
           "source": {
-            "fileObject": { "@id": "metadata.csv" },
-            "extract": { "column": "take" }
+            "fileObject": {
+              "@id": "metadata.csv"
+            },
+            "extract": {
+              "column": "take"
+            }
           }
         }
       ]
     }
-  ]
-}
+  ],
+  "rai:hasSyntheticData": false
+}