metadata
license: mit
pretty_name: TopBench
task_categories:
- tabular-classification
- tabular-regression
- question-answering
language:
- en
tags:
- tabular
- benchmark
- predictive-reasoning
- llm
TopBench Dataset
TopBench is a benchmark for predictive reasoning over tabular data. Each example asks a model to infer an unobserved outcome, decision, treatment effect, or ranked/filtering result from historical tables and a natural-language query.
Layout
single_point_prediction/
decision_making/
treatment_effect_analysis/
ranking_and_filtering/
Each task directory contains dataset folders with history.csv, query JSON files, and metadata. The ranking_and_filtering task also includes current.csv and expects structured CSV outputs.
Use the code release at https://github.com/LAMDA-Tabular/TopBench for validation, inference, evaluation, and the predict-only baseline.