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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ ---
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+ # PROSPERO Inclusion/Exclusion Criteria Dataset
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+ This dataset is a curated and preprocessed collection of clinical research objectives and their corresponding inclusion and exclusion criteria, extracted from the [PROSPERO](https://www.crd.york.ac.uk/prospero/) international prospective register of systematic reviews.
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+ ## Description
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+ The dataset was constructed to support fine-tuning of large language models (LLMs) for tasks involving the automated generation of eligibility criteria based on research objectives. It contains English-language research objectives from systematic review protocols across three domains:
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+ - Mental health
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+ - Diagnostics
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+ - Therapeutics
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+
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+ ## Dataset Structure
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+ Each row in the dataset corresponds to one study protocol and contains:
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+ - `Study_ID`: The unique identifier from PROSPERO (e.g., CRD420250616527)
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+ - `Objectives`: The research objective(s) of the systematic review
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+ - `Included`: The criteria defining which participants/studies are eligible for inclusion
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+ - `Excluded`: The criteria used to disqualify participants/studies from inclusion
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+ ## Use Case
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+ This dataset is ideal for training or fine-tuning LLMs (like T5, Mistral, LLaMA) on:
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+ - Generating inclusion/exclusion criteria from research objectives
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+ - Biomedical text-to-text reasoning tasks
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+ - Automating systematic review assistance and meta-research workflows
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+ ## Format
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+ - File type: CSV (`utf-8`)
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+ - Fields: `Study_ID`, `Objectives`, `Included`, `Excluded`
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+ - Suggested fields for fine-tuning:
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+ - `input_text`: Prompt generated from `Objectives`
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+ - `output_text`: "Inclusion: ... Exclusion: ..." combined string
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+ ## License & Attribution
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+ Data is sourced from PROSPERO, a publicly accessible database, and is intended for educational and research purposes only. Please cite the original PROSPERO records when using this dataset in any published work.
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+ ## 🙌 Created By
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+ Sanaa as part of her mission to automate and enhance systematic literature reviews using AI.
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