Edit model card

Model Card: Journal Retrieval Code Model

Model Description

  • Model Name: Journal Retrieval Code Model
  • Model Architecture: Biopython-based data extraction and retrieval
  • Intended Use: Extracts and retrieves journal data from PubMed articles using PM IDs.
  • License: MIT License

Training Data

  • Dataset: The model was used on PubMed articles data.
  • Data Preprocessing: Data was preprocessed by extracting relevant fields such as abstract, title, journal, language, year, and month.

Training Procedure

  • Hyperparameters: N/A
  • Training Duration: N/A
  • Compute Resources: N/A

Evaluation

  • Metrics: Accuracy of data retrieval and parsing
  • Results: N/A
  • Evaluation Data: Various PM IDs provided by users.

Intended Use Cases

  • Primary Use Case: Academic research, systematic reviews, and meta-analyses.
  • Secondary Use Cases: General data extraction for biomedical research.
  • Misuse: Not suitable for extracting data outside the PubMed database. May not handle edge cases well.

Limitations

  • Known Limitations: Only works with PubMed data and requires valid PM IDs.
  • Potential Biases: Relies on the availability and accuracy of PubMed's data.

How to Use

Installation

Install the necessary dependencies:

pip install biopython pandas huggingface_hub
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference API
Unable to determine this model's library. Check the docs .

Dataset used to train data-is-everything/journal-retrieval-code