Kehindeajayi01/SciTableQA
🧪 SciTableQA: A Question-Answering Benchmark for Complex Scientific Tables SciTableQA is a benchmark dataset specifically designed for evaluating the reasoning capabilities of large language models (LLMs) over complex scientific tables. Unlike prior benchmarks, SciTableQA focuses on standalone tables—without associated text—and includes both structural and content complexities common in scientific documents. 📦 Dataset Overview Total Tables: 320 Total QA Pairs:… See the full description on the dataset page: https://huggingface.co/datasets/Kehindeajayi01/SciTableQA.
| Author / organization | Kehindeajayi01 |
|---|---|
| License (as declared) | mit |
| Downloads | 1.9K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 3 July 2025 |
| Last updated at source | 3 July 2025 |
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- 16 Oct 2026 Description: 🧪 SciTableQA: A Question-Answering Benchmark for Complex Scientific Tables SciTableQA is a benchmark dataset specifically designed for evaluating the reasoning capabilities of large language models (LLMs) over complex scientific tables. Un → 🧪 SciTableQA: A Question-Answering Benchmark for Complex Scientific Tables SciTableQA is a benchmark dataset specifically designed for evaluating the reasoning capabilities of large language models (LLMs) over complex scientific tables. Un
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