zifeng-ai/LEADSInstruct
LEADSInstruct: A Benchmark Dataset for Literature Mining in Systematic Reviews Overview LEADSInstruct is a large-scale, instruction-based dataset designed to enhance AI performance in systematic review methodology, particularly in literature search, citation screening, and data extraction. By formulating these tasks into instruction-based subtasks, we provide a structured dataset suitable for fine-tuning large language models (LLMs) to improve the efficiency and… See the full description on the dataset page: https://huggingface.co/datasets/zifeng-ai/LEADSInstruct.
| Author / organization | zifeng-ai |
|---|---|
| License (as declared) | mit |
| Downloads | 150 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 7 March 2025 |
| Last updated at source | 13 May 2025 |
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Recent changes
- 17 Oct 2026 Description: LEADSInstruct: A Benchmark Dataset for Literature Mining in Systematic Reviews Overview LEADSInstruct is a large-scale, instruction-based dataset designed to enhance AI performance in systematic review methodology, particularly in literatur → LEADSInstruct: A Benchmark Dataset for Literature Mining in Systematic Reviews Overview LEADSInstruct is a large-scale, instruction-based dataset designed to enhance AI performance in systematic review methodology, particularly in literatur
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