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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
```text
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.
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