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Datasets:
AIML-TUDA
/
CycliST
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Artificial Intelligence & Machine Learning Lab at TU Darmstadt
66
DOI:
doi:10.57967/hf/6906
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CycliST
/
questions
/
bicycle
/
test
5.91 MB
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DanielOchs
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questions_counting_cycles.json
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questions_counting_frequency.json
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questions_counting_occurence.json
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questions_cycle_representative_clockwise.json
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questions_cycle_representative_orbit.json
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questions_cycle_representative_transition.json
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questions_existential_descriptive_attributes.json
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questions_existential_descriptive_compare.json
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questions_existential_descriptive_relate.json
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questions_universal_descriptive_attributes.json
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questions_universal_descriptive_compare.json
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questions_universal_descriptive_relate.json
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