Datasets:
Fix Croissant FileObject checksums for validation
Browse files- tools/write_release_metadata.py +78 -16
tools/write_release_metadata.py
CHANGED
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@@ -8,6 +8,7 @@ shell tools.
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from __future__ import annotations
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import json
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import os
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import shutil
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from pathlib import Path
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@@ -74,7 +75,7 @@ release_data/
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├── README.md # This file
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├── LICENSE.md # Multi-source license + redistribution notes
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├── CHANGELOG.md # Version history
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-
├── croissant.json # Croissant 1.
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├── manifest.json # Top-level run inventory (machine-readable)
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│
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├── runs/ # 28 individual backtest runs
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@@ -284,7 +285,7 @@ Track double-blind submission.
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- Two flattened derived tables (`derived/all_metrics.csv`,
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`derived/all_trades.csv`) for easy querying.
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- Reproducibility manifest mirrored from the paper's `latex/audit/`.
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-
- Croissant 1.
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"""
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@@ -305,7 +306,21 @@ def copy_build_script() -> None:
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def write_croissant() -> None:
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"""Croissant 1.
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croissant = {
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"@context": {
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"@language": "en",
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@@ -315,8 +330,10 @@ def write_croissant() -> None:
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"conformsTo": "dct:conformsTo",
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"cr": "http://mlcommons.org/croissant/",
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"rai": "http://mlcommons.org/croissant/RAI/",
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"dataType": {"@id": "cr:dataType", "@type": "@vocab"},
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"dct": "http://purl.org/dc/terms/",
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"examples": {"@id": "cr:examples", "@type": "@json"},
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"extract": "cr:extract",
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"field": "cr:field",
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@@ -331,19 +348,22 @@ def write_croissant() -> None:
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"md5": "cr:md5",
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"parentField": "cr:parentField",
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"path": "cr:path",
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"recordSet": "cr:recordSet",
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"references": "cr:references",
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"regex": "cr:regex",
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"repeated": "cr:repeated",
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"replace": "cr:replace",
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"sc": "https://schema.org/",
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"separator": "cr:separator",
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"source": "cr:source",
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"subField": "cr:subField",
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"transform": "cr:transform"
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},
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"@type": "sc:Dataset",
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"conformsTo": "http://mlcommons.org/croissant/1.
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"name": "QuantArena Artifact Bundle",
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"description": (
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"Reproducibility artifacts for QuantArena, a controlled live-market "
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@@ -382,7 +402,9 @@ def write_croissant() -> None:
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"name": "manifest.json",
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"description": "Top-level run inventory (machine-readable)",
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"encodingFormat": "application/json",
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"contentUrl": "manifest.json"
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},
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{
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"@type": "cr:FileObject",
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@@ -390,7 +412,9 @@ def write_croissant() -> None:
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"name": "all_metrics.csv",
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"description": "Long-format flat table of summary metrics across all 28 runs",
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"encodingFormat": "text/csv",
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"contentUrl": "derived/all_metrics.csv"
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},
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{
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"@type": "cr:FileObject",
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@@ -398,7 +422,9 @@ def write_croissant() -> None:
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"name": "all_trades.csv",
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"description": "Concatenated per-trade log across all 28 runs",
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"encodingFormat": "text/csv",
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"contentUrl": "derived/all_trades.csv"
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},
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{
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"@type": "cr:FileObject",
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@@ -406,7 +432,9 @@ def write_croissant() -> None:
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"name": "sector_style_universe.csv",
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"description": "5x4 sector/style universe (20 US + 20 CN tickers)",
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"encodingFormat": "text/csv",
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"contentUrl": "universe/sector_style_universe.csv"
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},
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{
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"@type": "cr:FileSet",
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@@ -551,13 +579,14 @@ def write_croissant() -> None:
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),
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"rai:dataLimitations": (
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"Trading frictions (transaction costs, market impact, short-selling, "
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"borrowing constraints) are not modeled
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"
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"
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"
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"
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"
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"
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),
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"rai:dataReleaseMaintenancePlan": (
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"v1.0 corresponds to the NeurIPS 2026 E&D Track submission. Future "
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@@ -573,7 +602,40 @@ def write_croissant() -> None:
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"of herd behavior. The bundle is explicitly scoped for research and "
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"evaluation; it is not financial advice and should not be interpreted "
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"as evidence of safe or profitable real-world deployment."
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-
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}
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out = RELEASE / "croissant.json"
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out.write_text(json.dumps(croissant, indent=2, ensure_ascii=False))
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from __future__ import annotations
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import json
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import hashlib
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import os
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import shutil
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from pathlib import Path
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├── README.md # This file
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├── LICENSE.md # Multi-source license + redistribution notes
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├── CHANGELOG.md # Version history
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+
├── croissant.json # Croissant 1.1 metadata (core + RAI)
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├── manifest.json # Top-level run inventory (machine-readable)
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│
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├── runs/ # 28 individual backtest runs
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- Two flattened derived tables (`derived/all_metrics.csv`,
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`derived/all_trades.csv`) for easy querying.
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- Reproducibility manifest mirrored from the paper's `latex/audit/`.
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- Croissant 1.1 metadata with core and RAI fields.
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"""
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def write_croissant() -> None:
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"""Croissant 1.1 metadata with core + RAI fields."""
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def md5(path: str) -> str:
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digest = hashlib.md5()
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with (RELEASE / path).open("rb") as f:
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for chunk in iter(lambda: f.read(1024 * 1024), b""):
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digest.update(chunk)
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return digest.hexdigest()
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def sha256(path: str) -> str:
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digest = hashlib.sha256()
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with (RELEASE / path).open("rb") as f:
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for chunk in iter(lambda: f.read(1024 * 1024), b""):
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digest.update(chunk)
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return digest.hexdigest()
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croissant = {
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"@context": {
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"@language": "en",
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"conformsTo": "dct:conformsTo",
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"cr": "http://mlcommons.org/croissant/",
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"rai": "http://mlcommons.org/croissant/RAI/",
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"data": "cr:data",
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"dataType": {"@id": "cr:dataType", "@type": "@vocab"},
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"dct": "http://purl.org/dc/terms/",
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"equivalentProperty": "cr:equivalentProperty",
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"examples": {"@id": "cr:examples", "@type": "@json"},
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"extract": "cr:extract",
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"field": "cr:field",
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"md5": "cr:md5",
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"parentField": "cr:parentField",
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"path": "cr:path",
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"prov": "http://www.w3.org/ns/prov#",
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"recordSet": "cr:recordSet",
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"references": "cr:references",
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"regex": "cr:regex",
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"repeated": "cr:repeated",
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"replace": "cr:replace",
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"sc": "https://schema.org/",
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"samplingRate": "cr:samplingRate",
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"separator": "cr:separator",
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"sha256": "sc:sha256",
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"source": "cr:source",
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"subField": "cr:subField",
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"transform": "cr:transform"
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},
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"@type": "sc:Dataset",
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"conformsTo": "http://mlcommons.org/croissant/1.1",
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"name": "QuantArena Artifact Bundle",
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"description": (
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"Reproducibility artifacts for QuantArena, a controlled live-market "
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"name": "manifest.json",
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"description": "Top-level run inventory (machine-readable)",
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"encodingFormat": "application/json",
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"contentUrl": "manifest.json",
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"md5": md5("manifest.json"),
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"sha256": sha256("manifest.json")
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},
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{
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"@type": "cr:FileObject",
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"name": "all_metrics.csv",
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"description": "Long-format flat table of summary metrics across all 28 runs",
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"encodingFormat": "text/csv",
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"contentUrl": "derived/all_metrics.csv",
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"md5": md5("derived/all_metrics.csv"),
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"sha256": sha256("derived/all_metrics.csv")
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},
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{
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"@type": "cr:FileObject",
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"name": "all_trades.csv",
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"description": "Concatenated per-trade log across all 28 runs",
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"encodingFormat": "text/csv",
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"contentUrl": "derived/all_trades.csv",
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"md5": md5("derived/all_trades.csv"),
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"sha256": sha256("derived/all_trades.csv")
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},
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{
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"@type": "cr:FileObject",
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"name": "sector_style_universe.csv",
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"description": "5x4 sector/style universe (20 US + 20 CN tickers)",
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"encodingFormat": "text/csv",
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"contentUrl": "universe/sector_style_universe.csv",
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"md5": md5("universe/sector_style_universe.csv"),
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"sha256": sha256("universe/sector_style_universe.csv")
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},
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{
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"@type": "cr:FileSet",
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),
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"rai:dataLimitations": (
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"Trading frictions (transaction costs, market impact, short-selling, "
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"borrowing constraints) are not modeled in the primary runs; the paper "
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"reports a deterministic post-hoc transaction-cost sensitivity sweep "
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"over the released trade logs. The 6M live-market window is much "
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"shorter than typical institutional evaluation horizons. The GPT-5.4 "
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"backend identifier reflects the API gateway label exposed at run time "
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"and not a vendor build hash; exact backend reproducibility depends on "
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"the gateway's routing decisions at run time. The bundle redistributes "
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"only the derived decision-level data, not the raw third-party feeds."
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),
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"rai:dataReleaseMaintenancePlan": (
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"v1.0 corresponds to the NeurIPS 2026 E&D Track submission. Future "
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"of herd behavior. The bundle is explicitly scoped for research and "
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"evaluation; it is not financial advice and should not be interpreted "
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"as evidence of safe or profitable real-world deployment."
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),
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"rai:hasSyntheticData": False,
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"prov:wasDerivedFrom": [
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"Yahoo Finance / yfinance US equity price and corporate-action data",
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"Tushare China A-share price, fundamental, and news data",
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"Financial Modeling Prep US fundamentals and news data",
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"AKShare China macro and policy indicators",
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"Tavily search-API news retrieval metadata",
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"LLM backend decision outputs from the controlled QuantArena execution harness"
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],
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"prov:wasGeneratedBy": [
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{
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"@type": "prov:Activity",
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"name": "Controlled backtest execution",
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"description": (
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"The QuantArena harness executed daily decisions from 2025-09-01 "
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"to 2026-02-28 for matched US and CN 20-ticker universes, fixing "
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"backend, analyst workflow, initial capital, portfolio accounting, "
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"and execution rules while varying only the mandate module."
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)
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},
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{
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"@type": "prov:Activity",
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"name": "Artifact derivation and anonymized release packaging",
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"description": (
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"Raw run directories were filtered into decision-level artifacts: "
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"per-run metrics.json, trades.csv, equity_curve.csv, comparison "
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"aggregates, universe definitions, audit manifests, and flattened "
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"all_metrics/all_trades tables. Raw third-party OHLCV/news bodies, "
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"private credentials, author-identifying repository metadata, and "
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"live LLM response logs are excluded."
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)
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}
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]
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}
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out = RELEASE / "croissant.json"
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out.write_text(json.dumps(croissant, indent=2, ensure_ascii=False))
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