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Create README.md

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- ---
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- dataset_info:
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- features:
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- - name: input
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- dtype: string
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- - name: target
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- dtype: string
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- splits:
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- - name: nycc
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- num_bytes: 173988
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- num_examples: 200
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- - name: sarc_triples
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- num_bytes: 257680
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- num_examples: 200
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- - name: multistep_arithmetic
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- num_bytes: 198591
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- num_examples: 200
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- - name: time_arithmetic
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- num_bytes: 230753
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- num_examples: 200
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- - name: boardgame_qa
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- num_bytes: 1353343
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- num_examples: 200
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- - name: buggy_tables
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- num_bytes: 1003885
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- num_examples: 200
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- - name: movie_recommendation
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- num_bytes: 214768
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- num_examples: 200
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- - name: dyck_languages
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- num_bytes: 569091
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- num_examples: 200
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- - name: spatial_reasoning
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- num_bytes: 1269647
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- num_examples: 200
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- - name: geometric_shapes
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- num_bytes: 481157
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- num_examples: 200
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- - name: word_sorting
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- num_bytes: 419593
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- num_examples: 200
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- - name: shuffled_objects
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- num_bytes: 2681436
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- num_examples: 200
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- - name: temporal_sequence
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- num_bytes: 745504
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- num_examples: 200
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- - name: disambiguation_qa
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- num_bytes: 91824
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- num_examples: 120
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- - name: causal_understanding
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- num_bytes: 183858
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- num_examples: 200
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- - name: boolean_expressions
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- num_bytes: 537854
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- num_examples: 200
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- - name: sportqa
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- num_bytes: 348908
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- num_examples: 200
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- - name: zebra_puzzles
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- num_bytes: 2273492
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- num_examples: 200
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- - name: hyperbaton
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- num_bytes: 913343
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- num_examples: 200
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- - name: web_of_lies
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- num_bytes: 507743
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- num_examples: 200
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- - name: linguini
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- num_bytes: 194206
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- num_examples: 200
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- - name: object_properties
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- num_bytes: 1056458
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- num_examples: 200
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- - name: object_counting
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- num_bytes: 1755005
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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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- - split: nycc
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- path: data/nycc-*
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- - split: sarc_triples
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- path: data/sarc_triples-*
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- - split: multistep_arithmetic
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- path: data/multistep_arithmetic-*
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- - split: time_arithmetic
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- path: data/time_arithmetic-*
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- - split: boardgame_qa
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- path: data/boardgame_qa-*
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- - split: buggy_tables
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- path: data/buggy_tables-*
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- - split: movie_recommendation
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- path: data/movie_recommendation-*
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- - split: dyck_languages
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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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- - split: shuffled_objects
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- path: data/shuffled_objects-*
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- - split: temporal_sequence
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- path: data/temporal_sequence-*
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- - split: disambiguation_qa
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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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+
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+ I just converted it into hugging face format for easy load