LAMDA-Tabular/TopBench
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… See the full description on the dataset page: https://huggingface.co/datasets/LAMDA-Tabular/TopBench.
| Author / organization | LAMDA-Tabular |
|---|---|
| License (as declared) | mit |
| Downloads | 367 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 23 April 2026 |
| Last updated at source | 29 April 2026 |
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367 now (+7 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: 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-langu → 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-langu
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