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