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---
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license: gpl-3.0
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pretty_name: PredictaBoard_Benchmarks
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configs:
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- config_name: Big-Bench-Hard
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data_files:
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- split: boolean_expressions
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path: data/boolean_expressions.parquet
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- split: causal_judgement
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path: data/causal_judgement.parquet
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- split: date_understanding
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path: data/date_understanding.parquet
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- split: disambiguation_qa
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path: data/disambiguation_qa.parquet
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- split: formal_fallacies
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path: data/formal_fallacies.parquet
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- split: geometric_shapes
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path: data/geometric_shapes.parquet
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- split: hyperbaton
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path: data/hyperbaton.parquet
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- split: logical_deduction_five_objects
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path: data/logical_deduction_five_objects.parquet
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- split: logical_deduction_seven_objects
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path: data/logical_deduction_seven_objects.parquet
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- split: logical_deduction_three_objects
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path: data/logical_deduction_three_objects.parquet
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- split: movie_recommendation
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path: data/movie_recommendation.parquet
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- split: navigate
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path: data/navigate.parquet
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- split: object_counting
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path: data/object_counting.parquet
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- split: penguins_in_a_table
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path: data/penguins_in_a_table.parquet
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- split: reasoning_about_colored_objects
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path: data/reasoning_about_colored_objects.parquet
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- split: ruin_names
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path: data/ruin_names.parquet
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- split: salient_translation_error_detection
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path: data/salient_translation_error_detection.parquet
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- split: snarks
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path: data/snarks.parquet
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- split: sports_understanding
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path: data/sports_understanding.parquet
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- split: tracking_shuffled_objects_five_objects
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path: data/tracking_shuffled_objects_five_objects.parquet
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- split: tracking_shuffled_objects_seven_objects
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path: data/tracking_shuffled_objects_seven_objects.parquet
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- split: tracking_shuffled_objects_three_objects
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path: data/tracking_shuffled_objects_three_objects.parquet
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- split: web_of_lies
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path: data/web_of_lies.parquet
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- config_name: IFEVAL
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data_files: data/IFEVAL.parquet
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- config_name: MATH-LvL-5
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data_files:
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- split: beginner_algebra_hard
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path: data/beginner_algebra_hard.parquet
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- split: counting_and_prob_hard
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path: data/counting_and_prob_hard.parquet
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- split: geometry_hard
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path: data/geometry_hard.parquet
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- split: intermediate_algebra_hard
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path: data/intermediate_algebra_hard.parquet
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- split: num_theory_hard
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path: data/num_theory_hard.parquet
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- split: prealgebra_hard
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path: data/prealgebra_hard.parquet
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- split: precalculus_hard
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path: data/precalculus_hard.parquet
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- config_name: MMLU-Pro
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data_files: data/MMLU-Pro.parquet
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- config_name: MuSR
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data_files:
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- split: murder_mysteries
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path: data/murder_mysteries.parquet
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- split: object_placements
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path: data/object_placements.parquet
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- split: team_allocation
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path: data/team_allocation.parquet
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---
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# PredictaBoard
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PredictaBoard is a novel benchmark for measuring the predictability of Large Language Models. |
