Refresh Croissant metadata and frozen archive

Update Croissant core and minimal RAI metadata, refresh release validator, and replace the frozen archive with the matching validated artifact.

README.md

@@ -130,7 +130,7 @@ The exact frozen v1 archive uploaded to Zenodo is also included under
 `archive/`:
 
 ```text
-701ad48d75ff34fabce82ee27271579f2ad83345a74a13468891beb0c6dc8f36  cb_telemetry_v1_expert_aligned.tar.gz
+db1d5a74484f7feebecc59f9321b9fdbac93542e97fbb91ed00f729bc61c1c67  cb_telemetry_v1_expert_aligned.tar.gz
 ```
 
 The Zenodo DOI for the immutable v1 artifact is:

archive/cb_telemetry_v1_expert_aligned.tar.gz

@@ -1,3 +1,3 @@
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-oid sha256:701ad48d75ff34fabce82ee27271579f2ad83345a74a13468891beb0c6dc8f36
-size 48368883
+oid sha256:db1d5a74484f7feebecc59f9321b9fdbac93542e97fbb91ed00f729bc61c1c67
+size 48366596

archive/cb_telemetry_v1_expert_aligned.tar.gz.sha256

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4e7027fda93a0d3e5aabcc87de8aab7a7e9857aaa6cd980a2ebe1e9ef110f896
+oid sha256:0438c6a0fef03f5bb6cf216bb67bf75a045e963cfbc692a9935c585001dd8160
 size 104

croissant.json

@@ -2,18 +2,61 @@
   "@context": {
     "@language": "en",
     "@vocab": "https://schema.org/",
+    "citeAs": "cr:citeAs",
+    "column": "cr:column",
+    "conformsTo": "dct:conformsTo",
     "cr": "http://mlcommons.org/croissant/",
     "rai": "http://mlcommons.org/croissant/RAI/",
-    "sc": "https://schema.org/"
+    "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"
+    },
+    "extract": "cr:extract",
+    "field": "cr:field",
+    "fileObject": "cr:fileObject",
+    "fileProperty": "cr:fileProperty",
+    "fileSet": "cr:fileSet",
+    "format": "cr:format",
+    "includes": "cr:includes",
+    "isLiveDataset": "cr:isLiveDataset",
+    "jsonPath": "cr:jsonPath",
+    "key": "cr:key",
+    "md5": "cr:md5",
+    "parentField": "cr:parentField",
+    "path": "cr:path",
+    "prov": "http://www.w3.org/ns/prov#",
+    "recordSet": "cr:recordSet",
+    "references": "cr:references",
+    "regex": "cr:regex",
+    "repeated": "cr:repeated",
+    "replace": "cr:replace",
+    "samplingRate": "cr:samplingRate",
+    "sc": "https://schema.org/",
+    "separator": "cr:separator",
+    "source": "cr:source",
+    "subField": "cr:subField",
+    "transform": "cr:transform"
   },
-  "@type": "Dataset",
-  "name": "CB-Telemetry: A Cyberforest Bird Acoustic Monitoring Benchmark",
+  "@type": "sc:Dataset",
+  "name": "CB-Telemetry Cyberforest Bird Acoustic Monitoring Benchmark",
   "description": "A license-aware Cyberforest bird acoustic monitoring benchmark package with J-STAGE DOI-backed expert listening records, Cyberforest audio provenance, audio clips, scored split manifests, feature tables, and baseline snapshots.",
   "url": "https://doi.org/10.5281/zenodo.19951359",
   "license": "https://creativecommons.org/licenses/by-nc-sa/4.0/",
-  "version": "v1",
+  "conformsTo": "http://mlcommons.org/croissant/1.0",
+  "version": "1.0.0",
   "datePublished": "2026-05-01",
   "citation": "https://doi.org/10.5281/zenodo.19951359",
+  "citeAs": "https://doi.org/10.5281/zenodo.19951359",
   "identifier": [
     {
       "@type": "PropertyValue",
@@ -31,80 +74,210 @@
   "rai:personalSensitiveInformation": "The intended domain is bird acoustic monitoring audio. Because live acoustic streams can contain incidental non-target sounds, audio reuse should follow the source license and local ethical requirements.",
   "rai:dataUseCases": "Long-term bird acoustic monitoring evaluation, representation fidelity diagnostics, retrieval controls, and compression benchmark smoke tests.",
   "rai:dataSocialImpact": "The package supports reproducible and license-aware bird acoustic monitoring evaluation while documenting scope limits and non-commercial/share-alike constraints.",
+  "rai:hasSyntheticData": false,
+  "prov:wasDerivedFrom": [
+    "https://doi.org/10.57368/data.birdresearch.26499895",
+    "http://cyberforest.nenv.k.u-tokyo.ac.jp/"
+  ],
+  "prov:wasGeneratedBy": "CB-Telemetry v1 was generated by normalizing the J-STAGE expert listening records, aligning them to Cyberforest source-audio URLs, filtering the frozen expert-overlap scored snapshot, exporting Default and Strict-Clean feature tables, and packaging reviewer audio clips, manifests, baselines, and validation scripts.",
   "distribution": [
     {
-      "@type": "DataDownload",
+      "@id": "normalized_annotations",
+      "@type": "cr:FileObject",
       "name": "normalized_annotations",
       "contentUrl": "annotations/cb_telemetry_annotations.csv.gz",
-      "encodingFormat": "text/csv"
+      "encodingFormat": "text/csv",
+      "sha256": "c5af1159f4cc3a0438c635213cecb59b5f74ee7deb49be341efa4eede204f92d"
     },
     {
-      "@type": "DataDownload",
+      "@id": "scored_snapshot_manifest",
+      "@type": "cr:FileObject",
       "name": "scored_snapshot_manifest",
       "contentUrl": "manifests/scored_snapshot_manifest.csv",
-      "encodingFormat": "text/csv"
+      "encodingFormat": "text/csv",
+      "sha256": "f2ac8239fac60cdee4ca05ca7eebcc67067e6185e10c486b2984d9b9367bbf0b"
     },
     {
-      "@type": "DataDownload",
+      "@id": "audio_manifest",
+      "@type": "cr:FileObject",
       "name": "audio_manifest",
       "contentUrl": "manifests/audio_manifest.csv",
-      "encodingFormat": "text/csv"
+      "encodingFormat": "text/csv",
+      "sha256": "088f877d2a019edcb1001b51f9035570a58530e7db12cee3b06b33dd45291071"
     },
     {
-      "@type": "DataDownload",
+      "@id": "audio_sample_manifest",
+      "@type": "cr:FileObject",
       "name": "audio_sample_manifest",
       "contentUrl": "manifests/audio_sample_manifest.csv",
-      "encodingFormat": "text/csv"
+      "encodingFormat": "text/csv",
+      "sha256": "332ebbfd97a08b5684cc45219e9554709fecc548ad5b9cd090633fc8a10952fe"
     },
     {
-      "@type": "DataDownload",
+      "@id": "audio_sample_metadata",
+      "@type": "cr:FileObject",
       "name": "audio_sample_metadata",
       "contentUrl": "audio_sample/metadata.csv",
-      "encodingFormat": "text/csv"
+      "encodingFormat": "text/csv",
+      "sha256": "5b581ec06546267ea5180a0d0bb3d725b695920fffcfc0788dd8dcdea41c7d71"
     },
     {
-      "@type": "DataDownload",
+      "@id": "default_feature_table",
+      "@type": "cr:FileObject",
       "name": "default_feature_table",
       "contentUrl": "features/feature_table_default.csv.gz",
-      "encodingFormat": "text/csv"
+      "encodingFormat": "text/csv",
+      "sha256": "39abc682d0f9b57cc2aa359ee3e79a0aa5c8fbec61b096199043e20b47499275"
+    },
+    {
+      "@id": "strict_clean_feature_table",
+      "@type": "cr:FileObject",
+      "name": "strict_clean_feature_table",
+      "contentUrl": "features/feature_table_strict_clean.csv.gz",
+      "encodingFormat": "text/csv",
+      "sha256": "78390d00005352929979eed359b3bacdfd092fbcc829846df3a4b2fb41e49143"
+    },
+    {
+      "@id": "default_standard_rvq_8bit",
+      "@type": "cr:FileObject",
+      "name": "default_standard_rvq_8bit",
+      "contentUrl": "features/bottlenecks/default/standard_rvq_8bit_feature_table.csv.gz",
+      "encodingFormat": "text/csv",
+      "sha256": "64b0dbcd1a47de6f3f41e3de4746552bb7f8646b0491329069a6175c155774be"
+    },
+    {
+      "@id": "default_pq_8bit",
+      "@type": "cr:FileObject",
+      "name": "default_pq_8bit",
+      "contentUrl": "features/bottlenecks/default/pq_8bit_feature_table.csv.gz",
+      "encodingFormat": "text/csv",
+      "sha256": "123a32f3b67a2f3ef96fac7199c521731c6a1f9441a6e9d91826e1a94281eca7"
     },
     {
-      "@type": "DataDownload",
+      "@id": "default_opq_8bit",
+      "@type": "cr:FileObject",
+      "name": "default_opq_8bit",
+      "contentUrl": "features/bottlenecks/default/opq_8bit_feature_table.csv.gz",
+      "encodingFormat": "text/csv",
+      "sha256": "755f7c2a2d587b5dccf6f6c78a692f4b8b9a76201c2856f6b92c693749c5d1d8"
+    },
+    {
+      "@id": "strict_clean_standard_rvq_8bit",
+      "@type": "cr:FileObject",
+      "name": "strict_clean_standard_rvq_8bit",
+      "contentUrl": "features/bottlenecks/strict_clean/standard_rvq_8bit_feature_table.csv.gz",
+      "encodingFormat": "text/csv",
+      "sha256": "f03e6efebffcb36d61e2152e073899f918f3fd97df976f942926bf8272eabbb8"
+    },
+    {
+      "@id": "strict_clean_pq_8bit",
+      "@type": "cr:FileObject",
+      "name": "strict_clean_pq_8bit",
+      "contentUrl": "features/bottlenecks/strict_clean/pq_8bit_feature_table.csv.gz",
+      "encodingFormat": "text/csv",
+      "sha256": "478f1afb7c900bd5540e626a124224a96179c994a18e8dc42975939cf6c4e7d9"
+    },
+    {
+      "@id": "strict_clean_opq_8bit",
+      "@type": "cr:FileObject",
+      "name": "strict_clean_opq_8bit",
+      "contentUrl": "features/bottlenecks/strict_clean/opq_8bit_feature_table.csv.gz",
+      "encodingFormat": "text/csv",
+      "sha256": "f85cdd1baa6f6b5677027ab260bfe6cc00bc406552bca507406a37fe41a9fb7e"
+    },
+    {
+      "@id": "audio_download_script",
+      "@type": "cr:FileObject",
       "name": "audio_download_script",
       "contentUrl": "scripts/download_audio_recordings.py",
-      "encodingFormat": "text/x-python"
+      "encodingFormat": "text/x-python",
+      "sha256": "954f7ab5ca251bbea689c1f89267025c3c7a50c23f1ae281e9107656dc364a0b"
+    },
+    {
+      "@id": "release_evaluation_script",
+      "@type": "cr:FileObject",
+      "name": "release_evaluation_script",
+      "contentUrl": "scripts/run_release_evaluation.py",
+      "encodingFormat": "text/x-python",
+      "sha256": "2db7cb99ed3416c4ae493a1c02726f69ab5ea68b685bfae16d0c56542c2f75bf"
     }
   ],
   "recordSet": [
     {
       "@type": "cr:RecordSet",
+      "@id": "cb_telemetry_scored_recordings",
       "name": "cb_telemetry_scored_recordings",
       "description": "Frozen CB-Telemetry v1 scored recording rows.",
       "field": [
         {
+          "@id": "recording_id",
           "@type": "cr:Field",
           "name": "recording_id",
-          "dataType": "sc:Text"
+          "dataType": "sc:Text",
+          "source": {
+            "fileObject": {
+              "@id": "scored_snapshot_manifest"
+            },
+            "extract": {
+              "column": "recording_id"
+            }
+          }
         },
         {
+          "@id": "site_en",
           "@type": "cr:Field",
           "name": "site_en",
-          "dataType": "sc:Text"
+          "dataType": "sc:Text",
+          "source": {
+            "fileObject": {
+              "@id": "scored_snapshot_manifest"
+            },
+            "extract": {
+              "column": "site_en"
+            }
+          }
         },
         {
+          "@id": "date",
           "@type": "cr:Field",
           "name": "date",
-          "dataType": "sc:Text"
+          "dataType": "sc:Text",
+          "source": {
+            "fileObject": {
+              "@id": "scored_snapshot_manifest"
+            },
+            "extract": {
+              "column": "date"
+            }
+          }
         },
         {
+          "@id": "behavior_types",
           "@type": "cr:Field",
           "name": "behavior_types",
-          "dataType": "sc:Text"
+          "dataType": "sc:Text",
+          "source": {
+            "fileObject": {
+              "@id": "scored_snapshot_manifest"
+            },
+            "extract": {
+              "column": "behavior_types"
+            }
+          }
         },
         {
+          "@id": "jstage_event_count",
           "@type": "cr:Field",
           "name": "jstage_event_count",
-          "dataType": "sc:Integer"
+          "dataType": "sc:Integer",
+          "source": {
+            "fileObject": {
+              "@id": "scored_snapshot_manifest"
+            },
+            "extract": {
+              "column": "jstage_event_count"
+            }
+          }
         }
       ]
     }

features/bottlenecks/default/opq_8bit_feature_table.csv.gz

@@ -1,3 +1,3 @@
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-oid sha256:c3359d5af297ab7cee9fab04aa0a9327e0f6370dcb89322d6ae04bbda6f1f265
+oid sha256:755f7c2a2d587b5dccf6f6c78a692f4b8b9a76201c2856f6b92c693749c5d1d8
 size 4456952

features/bottlenecks/default/pq_8bit_feature_table.csv.gz

@@ -1,3 +1,3 @@
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-oid sha256:57ed5dbe3466c44db6b9b64d25401666d80c97ad875cdc5cf510a4e9e2007e36
+oid sha256:123a32f3b67a2f3ef96fac7199c521731c6a1f9441a6e9d91826e1a94281eca7
 size 3474233

features/bottlenecks/default/standard_rvq_8bit_feature_table.csv.gz

@@ -1,3 +1,3 @@
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-oid sha256:47cb104bcdfe52a3b3117777d7bf81519cf21945d0c6e8aaa4459f81a0ec4d5b
+oid sha256:64b0dbcd1a47de6f3f41e3de4746552bb7f8646b0491329069a6175c155774be
 size 4684598

features/bottlenecks/strict_clean/opq_8bit_feature_table.csv.gz

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c1dffda743db376217bd27cdd394a25bb04c5b2634ff96c1d779676afae5fb05
+oid sha256:f85cdd1baa6f6b5677027ab260bfe6cc00bc406552bca507406a37fe41a9fb7e
 size 2484906

features/bottlenecks/strict_clean/pq_8bit_feature_table.csv.gz

@@ -1,3 +1,3 @@
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-oid sha256:22c3cbd4c1e19dd145aa89d17a32a955a259a257297403220c79065204a702eb
+oid sha256:478f1afb7c900bd5540e626a124224a96179c994a18e8dc42975939cf6c4e7d9
 size 1908955

features/bottlenecks/strict_clean/standard_rvq_8bit_feature_table.csv.gz

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c41b83e8fabe004886e55e05451882514b79292112b1e026e9e3e35dd92fdb21
+oid sha256:f03e6efebffcb36d61e2152e073899f918f3fd97df976f942926bf8272eabbb8
 size 2760058

hf_staging_validation.json

@@ -15,7 +15,7 @@
     "S"
   ],
   "zenodo_doi": "10.5281/zenodo.19951359",
-  "archive_sha256": "701ad48d75ff34fabce82ee27271579f2ad83345a74a13468891beb0c6dc8f36",
+  "archive_sha256": "db1d5a74484f7feebecc59f9321b9fdbac93542e97fbb91ed00f729bc61c1c67",
   "archive_stats": {
     "members": 99,
     "ds_store": 0,

scripts/validate_cb_telemetry.py

@@ -275,12 +275,50 @@ def validate_croissant(root: Path, errors: list[dict[str, str]]) -> None:
     except json.JSONDecodeError as exc:
         add_issue(errors, "croissant_json", f"croissant.json is invalid JSON: {exc}")
         return
-    required = ["@context", "@type", "name", "description", "license", "distribution", "recordSet"]
+    required = [
+        "@context",
+        "@type",
+        "name",
+        "description",
+        "url",
+        "license",
+        "conformsTo",
+        "distribution",
+        "recordSet",
+    ]
     for key in required:
         if key not in data:
             add_issue(errors, "croissant_required_key", f"croissant.json missing required key: {key}")
+    if data.get("@type") != "sc:Dataset":
+        add_issue(errors, "croissant_dataset_type", 'croissant.json @type should be "sc:Dataset".')
     if "by-nc-sa" not in str(data.get("license", "")).lower():
         add_issue(errors, "croissant_license", "croissant.json license should identify CC BY-NC-SA 4.0.")
+    rai_required = [
+        "rai:dataLimitations",
+        "rai:dataBiases",
+        "rai:personalSensitiveInformation",
+        "rai:dataUseCases",
+        "rai:dataSocialImpact",
+        "rai:hasSyntheticData",
+        "prov:wasDerivedFrom",
+        "prov:wasGeneratedBy",
+    ]
+    for key in rai_required:
+        value = data.get(key)
+        if key not in data or value is None or value == "" or value == []:
+            add_issue(errors, "croissant_rai_required_key", f"croissant.json missing required RAI/provenance key: {key}")
+    for item in data.get("distribution", []):
+        if item.get("@type") not in {"cr:FileObject", "sc:FileObject", "FileObject"}:
+            add_issue(errors, "croissant_distribution_type", f"croissant distribution {item.get('@id', item.get('name'))} is not a FileObject.")
+        for key in ["@id", "contentUrl", "encodingFormat"]:
+            if key not in item:
+                add_issue(errors, "croissant_distribution_required_key", f"croissant distribution missing {key}: {item}")
+    for record_set in data.get("recordSet", []):
+        if not record_set.get("@id"):
+            add_issue(errors, "croissant_recordset_id", f"croissant recordSet missing @id: {record_set.get('name')}")
+        for field in record_set.get("field", []):
+            if not (field.get("source") or "value" in field):
+                add_issue(errors, "croissant_field_source", f"croissant field missing source/value: {field.get('name')}")
 
 
 def write_report(root: Path, report: dict[str, object]) -> None: