Fix Croissant: rename rai:dataPersonalSensitiveInformation -> rai:personalSensitiveInformation, add rai:hasSyntheticData=false, switch contentUrls to absolute HF URLs, drop nested-JSON vision recordSet

data/croissant.json

@@ -82,7 +82,9 @@
 
   "rai:dataBiases": "The 88-paper meta-analysis (data/meta_analysis.csv) is biased toward vision (51/88) over language (16) and audio (3), reflecting publication frequency in representational similarity research up to 2026. The vision atlas is biased toward English-language web/image-corpus pretraining (CLIP, DINOv2 trained on LVD-142M; ImageNet-trained supervised baselines). The LLM atlas is English-only. Family selection is biased toward openly available checkpoints; closed-source models (GPT-4 class) are excluded by necessity, and recent permissively licensed code-generation or multilingual models may be under-represented.",
 
-  "rai:dataPersonalSensitiveInformation": "The release contains no personal or sensitive information. All four atlases are statistical summaries (similarity scores, regime labels) over public benchmark stimuli (CIFAR-100, STL-10, WikiText-103, LibriSpeech test-clean), and the released feature tensors are deterministic activations of public pretrained models on these public benchmarks. CIFAR-100 and STL-10 contain no personal data. LibriSpeech test-clean contains read public-domain audiobook recordings with speaker IDs released by the LibriVox/LibriSpeech project; we use only model activations, not raw audio. WikiText-103 is derived from Wikipedia featured/good articles. No demographic, health, financial, political, or religious information is collected, inferred, or released.",
+  "rai:personalSensitiveInformation": "The release contains no personal or sensitive information. All four atlases are statistical summaries (similarity scores, regime labels) over public benchmark stimuli (CIFAR-100, STL-10, WikiText-103, LibriSpeech test-clean), and the released feature tensors are deterministic activations of public pretrained models on these public benchmarks. CIFAR-100 and STL-10 contain no personal data. LibriSpeech test-clean contains read public-domain audiobook recordings with speaker IDs released by the LibriVox/LibriSpeech project; we use only model activations, not raw audio. WikiText-103 is derived from Wikipedia featured/good articles. No demographic, health, financial, political, or religious information is collected, inferred, or released.",
+  "rai:hasSyntheticData": false,
+  "rai:syntheticDataDescription": "No synthetic data is used or released. All numerical artifacts are deterministic outputs of public pretrained models evaluated on public real-world benchmarks (CIFAR-100, STL-10, WikiText-103, LibriSpeech test-clean).",
 
   "rai:dataUseCases": "Intended uses (validated in the accompanying paper): (a) compatibility screening between candidate model pairs prior to model-stitching or knowledge-transfer experiments; (b) reproducing and auditing the headline statistical findings of the paper (mixed-effects family beta=0.20, block-bootstrap rho=-0.70, retrieval rho=0.76); (c) extending the atlas with new encoders by re-running the extraction pipeline; (d) regression testing for representation-similarity research that builds on CKA, mutual k-NN, Procrustes-based transport, or effective-rank proxies. Out-of-scope uses (NOT validated and explicitly not recommended): (i) deployment-time decisions about whether two production models are interchangeable in a downstream application; (ii) safety or fairness certification of any individual encoder; (iii) inference about model training data, intellectual property, or copyright provenance from feature-space similarity.",
 
@@ -112,7 +114,7 @@
       "@id": "atlas-vision",
       "name": "atlas.json",
       "description": "Vision compatibility atlas: 190 pairs across 20 pretrained encoders on CIFAR-100 test (5000 images). Each pair has six BCCT metrics and a regime label.",
-      "contentUrl": "data/atlas.json",
+      "contentUrl": "https://huggingface.co/datasets/EvalData/BCCT-Hub/resolve/main/data/atlas.json",
       "encodingFormat": "application/json",
       "sha256": "c8826acc8352017e5f3e0c599666f71ee367fdf1677fa9cd4d6c6b64aa9a6a77"
     },
@@ -121,7 +123,7 @@
       "@id": "atlas-llm",
       "name": "llm_atlas.json",
       "description": "Language compatibility atlas: 36 pairs across 9 base LLMs on WikiText-103 (2000 passages of 128 tokens).",
-      "contentUrl": "data/llm_atlas.json",
+      "contentUrl": "https://huggingface.co/datasets/EvalData/BCCT-Hub/resolve/main/data/llm_atlas.json",
       "encodingFormat": "application/json",
       "sha256": "56543b9b58b2855a64749aa9a158cdcb9a06fcf7f1bfc662ebe7afb1026b28dd"
     },
@@ -130,7 +132,7 @@
       "@id": "atlas-audio",
       "name": "audio_atlas.json",
       "description": "Preliminary audio compatibility atlas: 15 pairs across 6 audio encoders on LibriSpeech test-clean.",
-      "contentUrl": "data/audio_atlas.json",
+      "contentUrl": "https://huggingface.co/datasets/EvalData/BCCT-Hub/resolve/main/data/audio_atlas.json",
       "encodingFormat": "application/json",
       "sha256": "f6c09f96fe301fc8156421a18d10534ea704cea0c598aac87bb9f4e0142c20a5"
     },
@@ -139,7 +141,7 @@
       "@id": "atlas-video",
       "name": "video_atlas.json",
       "description": "Exploratory video compatibility atlas: 15 pairs across 6 video encoders on STL-10 pseudo-clips.",
-      "contentUrl": "data/video_atlas.json",
+      "contentUrl": "https://huggingface.co/datasets/EvalData/BCCT-Hub/resolve/main/data/video_atlas.json",
       "encodingFormat": "application/json",
       "sha256": "189e11c2a70eb7ec96a3dd112d86b9ffa0651745c8d6ddfcec67a041f4b6e752"
     },
@@ -148,7 +150,7 @@
       "@id": "meta-analysis-csv",
       "name": "meta_analysis.csv",
       "description": "88-paper meta-analysis extraction (cite key, year, thread, domain, scale tier, metric type, reported value, inferred BCCT regime, key finding).",
-      "contentUrl": "data/meta_analysis.csv",
+      "contentUrl": "https://huggingface.co/datasets/EvalData/BCCT-Hub/resolve/main/data/meta_analysis.csv",
       "encodingFormat": "text/csv",
       "sha256": "d9e1c0d0eb70ec4d9d4036465643696a0b03222ae0783084c82fda40ed43b0d8"
     },
@@ -191,67 +193,6 @@
   ],
 
   "recordSet": [
-    {
-      "@type": "cr:RecordSet",
-      "@id": "vision-pair-records",
-      "name": "vision-pairwise",
-      "description": "Per-pair records of the vision compatibility atlas. Each record is a unique pair of two of the 20 atlas encoders.",
-      "field": [
-        {
-          "@type": "cr:Field",
-          "@id": "vision-pair-records/pair_key",
-          "name": "pair_key",
-          "description": "Human-readable pair name in the form 'encoder_a <-> encoder_b'.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {"@id": "atlas-vision"},
-            "extract": {"jsonPath": "$.pairwise[*]"}
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "vision-pair-records/s_local",
-          "name": "s_local",
-          "description": "Null-calibrated mutual k-NN overlap (k=10, 1000 permutations).",
-          "dataType": "sc:Float"
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "vision-pair-records/s_global",
-          "name": "s_global",
-          "description": "Linear centered kernel alignment (CKA) on Gram matrices.",
-          "dataType": "sc:Float"
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "vision-pair-records/tau",
-          "name": "tau",
-          "description": "Bidirectional conservative transport linearity score: min(tau_AB, tau_BA), per-dimension R^2 ratio of orthogonal Procrustes to a standardized 2-layer MLP probe on 80/20 train/test splits.",
-          "dataType": "sc:Float"
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "vision-pair-records/tai",
-          "name": "tai",
-          "description": "Transport asymmetry index: |perf(A->B) - perf(B->A)| / max.",
-          "dataType": "sc:Float"
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "vision-pair-records/delta",
-          "name": "delta",
-          "description": "Bottleneck mismatch: absolute difference of effective-rank bitrate proxies.",
-          "dataType": "sc:Float"
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "vision-pair-records/regime",
-          "name": "regime",
-          "description": "BCCT regime classification: one of {Collapsed, Local-Only, Convergent, Divergent}.",
-          "dataType": "sc:Text"
-        }
-      ]
-    },
     {
       "@type": "cr:RecordSet",
       "@id": "meta-analysis-records",