datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ruleloopvit-sft-generated-rules-019200
RuleLoopViT SFT Generated ARC-AGI-1 Rules
This dataset contains one generated rule text for each of the 400 ARC-AGI-1
training tasks.
The rules were generated by the RuleLoopViT principal SFT language model:
omrisap/sft_lm_principal
Each task was prompted with 2-4 official ARC-AGI demonstration pairs and decoded
deterministically. The generated output follows the project's five-section rule
schema:
[CORE RULE]
[INPUT STRUCTURE]
[TARGET SELECTION]
[TRANSFORMATION]
[OUTPUT… See the full description on the dataset page: https://huggingface.co/datasets/omrisap/ruleloopvit-sft-generated-rules-019200.arc-agi-1-ruleloopvit-rules
ARC-AGI-1 RuleLoopViT Rules
This dataset contains one canonical, task-specific English rule for each of the
400 official ARC-AGI-1 training tasks. Rules were inferred only from official
demonstration input/output pairs. Official test inputs, test outputs, and test
traces were excluded from rule authoring.
Each row includes:
a concise standalone core_rule_text;
a five-section full_rule_text;
the corresponding structured sections;
augmentation-aware references for colors… See the full description on the dataset page: https://huggingface.co/datasets/omrisap/arc-agi-1-ruleloopvit-rules.