Upload metadata.json

metadata.json

@@ -7,10 +7,19 @@
     "conformsTo": "dct:conformsTo",
     "cr": "http://mlcommons.org/croissant/",
     "rai": "http://mlcommons.org/croissant/RAI/",
-    "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/",
-    "examples": {"@id": "cr:examples", "@type": "@json"},
+    "examples": {
+      "@id": "cr:examples",
+      "@type": "@json"
+    },
     "extract": "cr:extract",
     "field": "cr:field",
     "fileProperty": "cr:fileProperty",
@@ -33,52 +42,91 @@
     "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",
   "name": "SignVerse-2M",
-  "conformsTo": [
-    "http://mlcommons.org/croissant/1.0",
-    "http://mlcommons.org/croissant/RAI/1.0"
-  ],
+  "conformsTo": "http://mlcommons.org/croissant/1.0",
   "description": "SignVerse-2M is a large-scale multilingual pose-native dataset for sign language research. It converts approximately two million publicly available sign language video clips covering 25+ sign languages into unified DWPose keypoint sequences (18 body + 21x2 hand + 68 face keypoints per frame at 24 FPS), providing a standardized data interface directly compatible with modern pose-driven generation and recognition pipelines.",
   "citeAs": "@inproceedings{fang2026signverse2m, title={{SignVerse-2M}: A Two-Million-Clip Pose-Native Universe of 25+ Sign Languages}, author={Fang, Sen and Zhong, Hongbin and Zhang, Yanxin and Metaxas, Dimitris N.}, booktitle={Advances in Neural Information Processing Systems (NeurIPS)}, year={2026}, note={Evaluations \\& Datasets Track}}",
+  "citation": "@inproceedings{fang2026signverse2m, title={{SignVerse-2M}: A Two-Million-Clip Pose-Native Universe of 25+ Sign Languages}, author={Fang, Sen and Zhong, Hongbin and Zhang, Yanxin and Metaxas, Dimitris N.}, booktitle={Advances in Neural Information Processing Systems (NeurIPS)}, year={2026}, note={Evaluations \\& Datasets Track}}",
   "license": "https://creativecommons.org/licenses/by-nc/4.0/",
   "url": "https://huggingface.co/datasets/SignerX/SignVerse-2M",
   "version": "1.0.0",
   "keywords": [
-    "sign language", "pose estimation", "DWPose", "multilingual",
-    "keypoint", "sign language generation", "sign language recognition",
-    "pose-native", "video understanding"
+    "sign language",
+    "pose estimation",
+    "DWPose",
+    "multilingual",
+    "keypoint",
+    "sign language generation",
+    "sign language recognition",
+    "pose-native",
+    "video understanding"
   ],
   "creator": [
     {
       "@type": "Person",
       "name": "Sen Fang",
-      "affiliation": {"@type": "Organization", "name": "Rutgers University"}
+      "affiliation": {
+        "@type": "Organization",
+        "name": "Rutgers University"
+      }
     },
     {
       "@type": "Person",
       "name": "Hongbin Zhong",
-      "affiliation": {"@type": "Organization", "name": "Georgia Institute of Technology"}
+      "affiliation": {
+        "@type": "Organization",
+        "name": "Georgia Institute of Technology"
+      }
     },
     {
       "@type": "Person",
       "name": "Yanxin Zhang",
-      "affiliation": {"@type": "Organization", "name": "NVIDIA"}
+      "affiliation": {
+        "@type": "Organization",
+        "name": "NVIDIA"
+      }
     },
     {
       "@type": "Person",
       "name": "Dimitris N. Metaxas",
-      "affiliation": {"@type": "Organization", "name": "Rutgers University"}
+      "affiliation": {
+        "@type": "Organization",
+        "name": "Rutgers University"
+      }
     }
   ],
   "isLiveDataset": false,
   "datePublished": "2026",
   "inLanguage": [
-    "ase", "bfi", "gsg", "sgd", "lsf", "lse", "lis", "lgp",
-    "ngt", "asf", "jsl", "kvk", "csl", "bzs", "lsm", "pjm",
-    "rsl", "swl", "dsl", "fse", "nsl", "lsc", "aed", "tsm", "fsl"
+    "ase",
+    "bfi",
+    "gsg",
+    "sgd",
+    "lsf",
+    "lse",
+    "lis",
+    "lgp",
+    "ngt",
+    "asf",
+    "jsl",
+    "kvk",
+    "csl",
+    "bzs",
+    "lsm",
+    "pjm",
+    "rsl",
+    "swl",
+    "dsl",
+    "fse",
+    "nsl",
+    "lsc",
+    "aed",
+    "tsm",
+    "fsl"
   ],
   "distribution": [
     {
@@ -95,7 +143,9 @@
       "@id": "pose-shards",
       "name": "DWPose keypoint shards",
       "description": "Numbered .tar archives each containing per-video directories with poses.npz (DWPose keypoints) and caption.json (structured subtitles).",
-      "containedIn": {"@id": "hf-dataset-repo"},
+      "containedIn": {
+        "@id": "hf-dataset-repo"
+      },
       "encodingFormat": "application/x-tar",
       "includes": "dataset/Sign_DWPose_NPZ_*.tar"
     },
@@ -132,8 +182,12 @@
           "description": "Relative path of a released tar shard within the dataset repository",
           "dataType": "sc:Text",
           "source": {
-            "fileObject": {"@id": "shard-manifest-csv"},
-            "extract": {"column": "archive_path"}
+            "fileObject": {
+              "@id": "shard-manifest-csv"
+            },
+            "extract": {
+              "column": "archive_path"
+            }
           }
         },
         {
@@ -143,8 +197,12 @@
           "description": "Tar shard filename",
           "dataType": "sc:Text",
           "source": {
-            "fileObject": {"@id": "shard-manifest-csv"},
-            "extract": {"column": "archive_name"}
+            "fileObject": {
+              "@id": "shard-manifest-csv"
+            },
+            "extract": {
+              "column": "archive_name"
+            }
           }
         },
         {
@@ -154,8 +212,12 @@
           "description": "Remote tar shard size in bytes from the live Hugging Face repository listing",
           "dataType": "sc:Integer",
           "source": {
-            "fileObject": {"@id": "shard-manifest-csv"},
-            "extract": {"column": "size_bytes"}
+            "fileObject": {
+              "@id": "shard-manifest-csv"
+            },
+            "extract": {
+              "column": "size_bytes"
+            }
           }
         }
       ]
@@ -176,5 +238,22 @@
   "rai:dataSocialImpact": "Positive impact may include broader support for multilingual sign language research, lower barriers to pose-driven sign generation/recognition work, and improved benchmarking across sign languages under a unified interface. Potential negative impact includes misuse for surveillance, signer re-identification, non-consensual avatar synthesis, or overclaiming linguistic coverage/performance for low-resource signing communities. The dataset should therefore be treated as a research resource rather than evidence of deployable interpreting capability.",
   "rai:hasSyntheticData": false,
   "rai:dataReleaseMaintenancePlan": "The release is versioned. The repository keeps the processing pipeline, runtime status logs, and upload scripts needed to audit or refresh the corpus on selected subsets. Future maintenance may add corrected shards or metadata revisions, but no guarantee is made that every source video will remain available on upstream platforms over time.",
-  "rai:personalSensitiveInformation": "The dataset contains pose keypoint sequences derived from publicly posted YouTube videos of human signers. Raw video frames are NOT redistributed. Pose sequences may nonetheless allow re-identification of signers in combination with external metadata. No sensitive personal information (names, biometric identifiers beyond pose, health or financial data) is intentionally included. Users should be aware that sign language data inherently involves human subjects and should handle the data accordingly."
+  "rai:personalSensitiveInformation": "The dataset contains pose keypoint sequences derived from publicly posted YouTube videos of human signers. Raw video frames are NOT redistributed. Pose sequences may nonetheless allow re-identification of signers in combination with external metadata. No sensitive personal information (names, biometric identifiers beyond pose, health or financial data) is intentionally included. Users should be aware that sign language data inherently involves human subjects and should handle the data accordingly.",
+  "prov:wasDerivedFrom": [
+    {
+      "@id": "https://github.com/google-research/google-research/tree/master/youtube_sl_25",
+      "prov:label": "YouTube-SL-25",
+      "sc:license": "CC BY 4.0 International license"
+    }
+  ],
+  "prov:wasGeneratedBy": [
+    {
+      "@type": "prov:Activity",
+      "prov:type": {
+        "@id": "https://www.wikidata.org/wiki/Q4929239"
+      },
+      "prov:label": "Download",
+      "sc:description": "Download and process the video from YouTube"
+    }
+  ]
 }