yale-nlp/M3SciQA
π§βπ¬ M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark For Evaluating Foundatio Models EMNLP 2024 Findings π₯οΈ Code Introduction In the realm of foundation models for scientific research, current benchmarks predominantly focus on single-document, text-only tasks and fail to adequately represent the complex workflow of such research. These benchmarks lack the $\textit{multi-modal}$, $\textit{multi-document}$ nature of scientific research, whereβ¦ See the full description on the dataset page: https://huggingface.co/datasets/yale-nlp/M3SciQA.
| Author / organization | yale-nlp |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 201 (as reported by Hugging Face) |
| Likes | 10 |
| Created | 24 October 2024 |
| Last updated at source | 13 January 2025 |
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- 17 Oct 2026 Description: π§βπ¬ M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark For Evaluating Foundatio Models EMNLP 2024 Findings π₯οΈ Code Introduction In the realm of foundation models for scientific research, current benchmarks predominantly focus β π§βπ¬ M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark For Evaluating Foundatio Models EMNLP 2024 Findings π₯οΈ Code Introduction In the realm of foundation models for scientific research, current benchmarks predominantly focus
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