data-is-everything
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README.md
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---
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license: mit
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datasets:
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- ncbi/pubmed
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language:
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- en
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tags:
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- medical
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- biology
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- code
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---
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# Model Card: Journal Retrieval Code Model
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## Model Description
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- **Model Name**: Journal Retrieval Code Model
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- **Model Architecture**: Biopython-based data extraction and retrieval
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- **Intended Use**: Extracts and retrieves journal data from PubMed articles using PM IDs.
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- **License**: MIT License
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## Training Data
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- **Dataset**: The model was used on PubMed articles data.
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- **Data Preprocessing**: Data was preprocessed by extracting relevant fields such as abstract, title, journal, language, year, and month.
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## Training Procedure
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- **Hyperparameters**: N/A
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- **Training Duration**: N/A
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- **Compute Resources**: N/A
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## Evaluation
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- **Metrics**: Accuracy of data retrieval and parsing
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- **Results**: N/A
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- **Evaluation Data**: Various PM IDs provided by users.
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## Intended Use Cases
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- **Primary Use Case**: Academic research, systematic reviews, and meta-analyses.
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- **Secondary Use Cases**: General data extraction for biomedical research.
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- **Misuse**: Not suitable for extracting data outside the PubMed database. May not handle edge cases well.
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## Limitations
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- **Known Limitations**: Only works with PubMed data and requires valid PM IDs.
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- **Potential Biases**: Relies on the availability and accuracy of PubMed's data.
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## How to Use
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### Installation
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Install the necessary dependencies:
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```bash
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pip install biopython pandas huggingface_hub
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