Add rai:hasSyntheticData field (NeurIPS RAI requirement)
Browse files- croissant.json +1 -0
croissant.json
CHANGED
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@@ -53,6 +53,7 @@
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"isLiveDataset": false,
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"rai:dataCollection": "Fully synthetic. Each of the 36 tasks ships a deterministic generator that emits the five-artifact contract (first_frame.png, prompt.txt, final_frame.png, ground_truth.mp4, question_metadata.json) from a (task, seed) pair. No scraping, no human subjects, no third-party media, no manual annotation. The training corpus is partitioned into disjoint seed bands (1–5,000 and 5,001–10,000 per task) that are themselves disjoint from the evaluation seeds released in VBVR-MultiStep-Bench.",
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"rai:dataCollectionType": ["Synthetic"],
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"rai:dataPreprocessingProtocol": "Per-task generator output is grouped into 50-sample batches and packed into tar.gz shards under questions/. Per-task Parquet metadata files (data/metadata_shards/) and a global metadata.parquet index every instance with task id, family, seed, and per-task fields. No sample is filtered, dropped, or transformed after generation.",
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"rai:dataAnnotationProtocol": "No human annotation. ground_truth.mp4 is rendered by each task's deterministic ground-truth solver.",
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"rai:dataAnnotationPlatform": "N/A (no annotation).",
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"isLiveDataset": false,
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| 54 |
"rai:dataCollection": "Fully synthetic. Each of the 36 tasks ships a deterministic generator that emits the five-artifact contract (first_frame.png, prompt.txt, final_frame.png, ground_truth.mp4, question_metadata.json) from a (task, seed) pair. No scraping, no human subjects, no third-party media, no manual annotation. The training corpus is partitioned into disjoint seed bands (1–5,000 and 5,001–10,000 per task) that are themselves disjoint from the evaluation seeds released in VBVR-MultiStep-Bench.",
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"rai:dataCollectionType": ["Synthetic"],
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+
"rai:hasSyntheticData": true,
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"rai:dataPreprocessingProtocol": "Per-task generator output is grouped into 50-sample batches and packed into tar.gz shards under questions/. Per-task Parquet metadata files (data/metadata_shards/) and a global metadata.parquet index every instance with task id, family, seed, and per-task fields. No sample is filtered, dropped, or transformed after generation.",
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"rai:dataAnnotationProtocol": "No human annotation. ground_truth.mp4 is rendered by each task's deterministic ground-truth solver.",
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"rai:dataAnnotationPlatform": "N/A (no annotation).",
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