Datasets:
Repair review Croissant, provenance and scoped checksums; document complete native inputs
Browse files- README.md +9 -0
- checksums.csv +4 -2
- croissant.json +226 -52
- review_metadata_validation.json +205 -0
- review_provenance.json +152 -0
README.md
CHANGED
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@@ -223,3 +223,12 @@ The author confirmed MIT for original research code on 10 October 2026. See the
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research repository's LICENSE and DATA_LICENSE.md. Dataset and third-party terms
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are unchanged. This acceptance addition does not change the bytes or identities
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of the previously published Atlas-input and research-record archives.
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research repository's LICENSE and DATA_LICENSE.md. Dataset and third-party terms
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are unchanged. This acceptance addition does not change the bytes or identities
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of the previously published Atlas-input and research-record archives.
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## Atlas reconstruction inputs — 12 October 2026
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The original 15 viewer tables above remain a small review subset. Full Atlas offline reconstruction now has a separate frozen component: 64 native/curated input Parquet files, 1,807,346,651 bytes. [Download the native snapshot](https://huggingface.co/datasets/Oracle4CEG/OracleEconLab-Oracle-Incentives-v1/tree/c7df3127756d831a61c781d0531c155dc8d9c2fb/atlas/releases/atlas-repaired-20261012/native). Five pinned public source/registry archives are also retained separately.
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[Executable code and commands](https://github.com/virusLuke3/Oracle4SD-Atlas/tree/fix/usable-atlas-release-20261012) verify file hashes before reconstructing common, economic and application layers. The source is a repair branch; execution reports specify validated scope. Historical source snapshots are retained, not silently relabeled as corrected outputs.
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The root Croissant file describes only the original 15 review tables. Its JSON-LD, Boolean types, immutable file links and RAI descriptions were repaired and all 15 record sets were loaded with mlcroissant 1.1.0. See review_metadata_validation.json and review_provenance.json. These checks do not establish complete historical person/agent provenance or full-Atlas coverage. This revision has no dataset DOI.
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checksums.csv
CHANGED
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@@ -1,8 +1,8 @@
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path,bytes,sha256
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CITATION.cff,393,c46b616d6d071a9768b5d5f984d62964f06e1429fd7b1b0e825757c9cf447147
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DATA_LICENSE.md,700,c0e3ef630944b5a4ff01b35d13f5ce9248feb9f083542ac58800636793fdb72c
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-
README.md,
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-
croissant.json,
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data/abc_dictionary.parquet,31530,caf6c39c6331f7ea578b787279f1a89b8fbeda12bdedb68f2a50bf71259010bd
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data/ai_feature_dictionary.parquet,5715,f1ec0a4d97421392dee8d449d472fcd6bae29c3e57062e440f87d25429e380b7
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data/decision_evidence.parquet,197034,031e9d4f501537e9f9c57c8d6d8588cb154c9e2006a698ab6ab25150952e2732
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@@ -42,4 +42,6 @@ public_evidence/ethereum_rpc_snapshot.json,29216,2af8dd712384c6b67e1323bdb0a9fde
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public_evidence/polygon_rpc_snapshot.json,99358,bdf308fce350db604af04f889826c16304081a0197b01fceae9e147450d273f8
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public_evidence/reproduction_report.md,2112,1260950b3559eef6f1ad42108b583c041f33bb2df7f0ebdf3580f968e6dcc490
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public_evidence/source_manifest.json,1419,af0ed9b92b73398e5af168adf74aea45022e8d2a6b586dd0095a4243bc80dc0f
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task_definition.json,3000,ee1a383495e9dd9a50b98acebc7ee11140a7a59fc7544eaddc7497640c926ff1
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path,bytes,sha256
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CITATION.cff,393,c46b616d6d071a9768b5d5f984d62964f06e1429fd7b1b0e825757c9cf447147
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DATA_LICENSE.md,700,c0e3ef630944b5a4ff01b35d13f5ce9248feb9f083542ac58800636793fdb72c
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+
README.md,13230,8fd254795f2f29fa7fae08639ad17c18ee3f86875bcd8811ddfcdb555c678389
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+
croissant.json,166372,e12711b4739eb9418f5aacc3ddba1100d43c857e87a70f9d70f3daaa680a5e1a
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data/abc_dictionary.parquet,31530,caf6c39c6331f7ea578b787279f1a89b8fbeda12bdedb68f2a50bf71259010bd
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data/ai_feature_dictionary.parquet,5715,f1ec0a4d97421392dee8d449d472fcd6bae29c3e57062e440f87d25429e380b7
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data/decision_evidence.parquet,197034,031e9d4f501537e9f9c57c8d6d8588cb154c9e2006a698ab6ab25150952e2732
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public_evidence/polygon_rpc_snapshot.json,99358,bdf308fce350db604af04f889826c16304081a0197b01fceae9e147450d273f8
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public_evidence/reproduction_report.md,2112,1260950b3559eef6f1ad42108b583c041f33bb2df7f0ebdf3580f968e6dcc490
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public_evidence/source_manifest.json,1419,af0ed9b92b73398e5af168adf74aea45022e8d2a6b586dd0095a4243bc80dc0f
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+
review_metadata_validation.json,5693,9a5e77671803732aae7c0e285cf54d423580e2d277c99c3a197daecdda06975d
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+
review_provenance.json,7081,cf5c786924af9b06863b8606b8427f35f1e5613cd7e0cbd269bc2c591435288e
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task_definition.json,3000,ee1a383495e9dd9a50b98acebc7ee11140a7a59fc7544eaddc7497640c926ff1
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croissant.json
CHANGED
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@@ -1,21 +1,63 @@
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{
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"@context": {
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"@language": "en",
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"cr": "http://mlcommons.org/croissant/",
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"rai": "http://mlcommons.org/croissant/RAI/",
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-
"
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},
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"@type": "sc:Dataset",
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"name": "OracleEconLab Oracle Incentives and Accountability v1",
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"description": "Review-sized, audit-first UMA economic episodes, A/B/C measures and decision-time evaluation records.",
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"url": "https://huggingface.co/datasets/Oracle4CEG/OracleEconLab-Oracle-Incentives-v1",
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"license": "https://creativecommons.org/licenses/by/4.0/",
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-
"version": "1.5.0-
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"datePublished": "2026-08-16",
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"citeAs": "Oracle-Nature Contributors (2026), OracleEconLab Economic Research Release v1.5.0.",
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"isLiveDataset": false,
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"conformsTo": "http://mlcommons.org/croissant/1.1",
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"rai:hasSyntheticData":
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"rai:dataCollection": "Software collection of public Polygon and Ethereum protocol records, fixed RPC snapshots, deterministic cross-chain linkage and versioned transformations.",
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"rai:dataCollectionType": [
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"Software Collection",
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"The AI cohort conditions on actually challenged UMA proposals and cannot identify policy value for undisputed requests.",
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"Protocol adjudication is not independent factual truth.",
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"Address-level activity is not verified person- or institution-level activity.",
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"The review draft is not the full cross-protocol ledger and requires archive infrastructure for complete recollection."
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],
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"rai:dataBiases": [
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"Selection favors challenged requests with exact Grade-A linkage and flow evidence.",
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],
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"rai:personalSensitiveInformation": [
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"Public pseudonymous blockchain addresses and transaction hashes are present; no natural-person identity mapping is asserted.",
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"No private RPC endpoint, API credential, private key or off-chain personal profile is released."
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],
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"rai:dataUseCases": [
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"Economic-measure auditing and reproducibility research.",
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"@type": "cr:FileObject",
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"@id": "file:abc_dictionary",
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"name": "abc_dictionary.parquet",
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-
"contentUrl": "https://huggingface.co/datasets/Oracle4CEG/OracleEconLab-Oracle-Incentives-v1/resolve/
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-
"encodingFormat": "application/
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"sha256": "caf6c39c6331f7ea578b787279f1a89b8fbeda12bdedb68f2a50bf71259010bd"
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},
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{
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"@type": "cr:FileObject",
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"@id": "file:uma_real_episode",
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"name": "uma_real_episode.parquet",
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"contentUrl": "https://huggingface.co/datasets/Oracle4CEG/OracleEconLab-Oracle-Incentives-v1/resolve/
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"encodingFormat": "application/
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"sha256": "3a940fb4165254d528652d9eff3d94e831aca7e00a9374c910c96436925dacd7"
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},
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{
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"@type": "cr:FileObject",
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"@id": "file:uma_real_episode_abc",
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"name": "uma_real_episode_abc.parquet",
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"contentUrl": "https://huggingface.co/datasets/Oracle4CEG/OracleEconLab-Oracle-Incentives-v1/resolve/
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-
"encodingFormat": "application/
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"sha256": "510cfac9ffbd2e32f45d3096dedd80d1f86eddf27f54f4de980fc670b6aaf17a"
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},
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{
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"@type": "cr:FileObject",
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"@id": "file:uma_public_rpc_episode",
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"name": "uma_public_rpc_episode.parquet",
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"contentUrl": "https://huggingface.co/datasets/Oracle4CEG/OracleEconLab-Oracle-Incentives-v1/resolve/
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-
"encodingFormat": "application/
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"sha256": "a25bcc1923ae2bfb6a9d99cc48aea75f6b8dd875c947db0d339058d1eddd5c8b"
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},
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{
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"@type": "cr:FileObject",
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"@id": "file:uma_public_rpc_abc",
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"name": "uma_public_rpc_abc.parquet",
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"contentUrl": "https://huggingface.co/datasets/Oracle4CEG/OracleEconLab-Oracle-Incentives-v1/resolve/
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-
"encodingFormat": "application/
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"sha256": "6048d9525b67187cc5789d63b706402cebe93f37cdfee7e37d538b1a5e55de4c"
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},
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{
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"@type": "cr:FileObject",
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"@id": "file:uma_decisions",
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"name": "uma_decisions.parquet",
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"contentUrl": "https://huggingface.co/datasets/Oracle4CEG/OracleEconLab-Oracle-Incentives-v1/resolve/
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"encodingFormat": "application/
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"sha256": "07d7c71c3086f5c4411e505651d89edf97881d164f479a8bccfa9401d8f3078e"
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},
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{
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"@type": "cr:FileObject",
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"@id": "file:uma_decision_splits",
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"name": "uma_decision_splits.parquet",
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"contentUrl": "https://huggingface.co/datasets/Oracle4CEG/OracleEconLab-Oracle-Incentives-v1/resolve/
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-
"encodingFormat": "application/
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"sha256": "2ae1de1c52bf55c1d12e80288f2144dcbf6a601261f6a444219d3207f770a555"
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},
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{
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"@type": "cr:FileObject",
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"@id": "file:decision_evidence",
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"name": "decision_evidence.parquet",
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"contentUrl": "https://huggingface.co/datasets/Oracle4CEG/OracleEconLab-Oracle-Incentives-v1/resolve/
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"encodingFormat": "application/
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"sha256": "031e9d4f501537e9f9c57c8d6d8588cb154c9e2006a698ab6ab25150952e2732"
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},
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{
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"@type": "cr:FileObject",
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"@id": "file:ai_feature_dictionary",
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"name": "ai_feature_dictionary.parquet",
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"contentUrl": "https://huggingface.co/datasets/Oracle4CEG/OracleEconLab-Oracle-Incentives-v1/resolve/
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"encodingFormat": "application/
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"sha256": "f1ec0a4d97421392dee8d449d472fcd6bae29c3e57062e440f87d25429e380b7"
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},
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{
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"@type": "cr:FileObject",
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"@id": "file:public_ai_episodes",
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"name": "public_ai_episodes.parquet",
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"contentUrl": "https://huggingface.co/datasets/Oracle4CEG/OracleEconLab-Oracle-Incentives-v1/resolve/
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-
"encodingFormat": "application/
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"sha256": "c88c5ca399c98d0acfece652b2699c882f1d638f2d480f9952af61bb93928017"
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},
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{
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"@type": "cr:FileObject",
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"@id": "file:public_ai_decisions",
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"name": "public_ai_decisions.parquet",
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"contentUrl": "https://huggingface.co/datasets/Oracle4CEG/OracleEconLab-Oracle-Incentives-v1/resolve/
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-
"encodingFormat": "application/
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"sha256": "a291329f9294a3c676677b54cb944e9b4a68556140cbabee3ed23b4aff4f14a9"
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},
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{
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"@type": "cr:FileObject",
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"@id": "file:public_ai_splits",
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"name": "public_ai_splits.parquet",
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"contentUrl": "https://huggingface.co/datasets/Oracle4CEG/OracleEconLab-Oracle-Incentives-v1/resolve/
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"encodingFormat": "application/
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"sha256": "22e41dfd4217c85f7b96a173b47fb42a2a24388b33245847f054b813852e2f2b"
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},
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{
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"@type": "cr:FileObject",
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"@id": "file:public_ai_evidence",
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"name": "public_ai_evidence.parquet",
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"contentUrl": "https://huggingface.co/datasets/Oracle4CEG/OracleEconLab-Oracle-Incentives-v1/resolve/
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"encodingFormat": "application/
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"sha256": "9a4826f204a97660606a7bf7ac57d57628a14811c31640b3ae7140108f527c53"
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},
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{
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"@type": "cr:FileObject",
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"@id": "file:public_ai_predictions",
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"name": "public_ai_predictions.parquet",
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"contentUrl": "https://huggingface.co/datasets/Oracle4CEG/OracleEconLab-Oracle-Incentives-v1/resolve/
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"encodingFormat": "application/
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"sha256": "430df04253cc32fe259bf1264aa4c2639ce7eff98964e90973d91286b3f48d2b"
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},
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{
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"@type": "cr:FileObject",
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"@id": "file:public_ai_metrics",
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"name": "public_ai_metrics.parquet",
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"contentUrl": "https://huggingface.co/datasets/Oracle4CEG/OracleEconLab-Oracle-Incentives-v1/resolve/
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"encodingFormat": "application/
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"sha256": "59322398ab54fd7141d4b815dcba47bdd29a88fb60e3c3f841dc2e727127a5ec"
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}
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],
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"@type": "cr:RecordSet",
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"@type": "cr:RecordSet",
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review_metadata_validation.json
ADDED
|
@@ -0,0 +1,205 @@
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|
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|
| 205 |
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|
review_provenance.json
ADDED
|
@@ -0,0 +1,152 @@
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|
|
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|
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|
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|
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|
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|
| 1 |
+
[
|
| 2 |
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{
|
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],
|
| 138 |
+
"observation_cutoff": "2026-06-30T23:59:59Z",
|
| 139 |
+
"original_execution_identity": "not established for all historical contributions",
|
| 140 |
+
"quality_control": "Current full-file hashes, Parquet schema and row counts; scientific generation history remains separately documented."
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"recordset": "record:public_ai_metrics",
|
| 144 |
+
"dataset_revision": "586e850ce504db0f4ffec9bea7b0f4db3fa45239",
|
| 145 |
+
"source_files": [
|
| 146 |
+
"data/public_ai_metrics.parquet"
|
| 147 |
+
],
|
| 148 |
+
"observation_cutoff": "2026-06-30T23:59:59Z",
|
| 149 |
+
"original_execution_identity": "not established for all historical contributions",
|
| 150 |
+
"quality_control": "Current full-file hashes, Parquet schema and row counts; scientific generation history remains separately documented."
|
| 151 |
+
}
|
| 152 |
+
]
|