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Causal Plan Causal Plan is a unified multimodal dataset release for training and evaluating causal reasoning over visually grounded plans. The repository is organized as one entry point with three clearly separated resources: Causal Plan/ CausalPlan-1M-QA/ CausalPlan-1M-FourStage-Metadata/ Causal-Plan-Bench/ DATASET MANIFEST.json verify alignment.py README.md The QA examples, item-level four-stage metadata, and benchmark package are stored in the same repository so that… See the full description on the dataset page: Plan.
Source: Hugging Face Hub (anonymous-causal-plan/Causal_Plan). Metadata imported from the dataset’s Hub tags.