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README.md
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- name: dyck_languages
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- name: hyperbaton
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num_examples: 200
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download_size: 4848404
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dataset_size: 17462127
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configs:
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- config_name: default
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data_files:
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path: data/nycc-*
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path: data/sarc_triples-*
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path: data/multistep_arithmetic-*
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path: data/time_arithmetic-*
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path: data/boardgame_qa-*
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path: data/buggy_tables-*
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path: data/movie_recommendation-*
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path: data/dyck_languages-*
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- split: spatial_reasoning
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path: data/spatial_reasoning-*
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- split: geometric_shapes
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path: data/geometric_shapes-*
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- split: word_sorting
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path: data/word_sorting-*
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path: data/shuffled_objects-*
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path: data/temporal_sequence-*
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path: data/disambiguation_qa-*
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- split: causal_understanding
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path: data/causal_understanding-*
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- split: boolean_expressions
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path: data/boolean_expressions-*
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- split: sportqa
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path: data/sportqa-*
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- split: zebra_puzzles
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path: data/zebra_puzzles-*
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- split: hyperbaton
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path: data/hyperbaton-*
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- split: web_of_lies
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path: data/web_of_lies-*
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- split: linguini
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path: data/linguini-*
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- split: object_properties
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path: data/object_properties-*
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- split: object_counting
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path: data/object_counting-*
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---
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The dataset from https://github.com/google-deepmind/bbeh
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I just converted it into hugging face format for easy load
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