/ARQMath-data-preprocessing

Preprocessed ARQMath competition datasets

Primary LanguagePython

ARQMath Data Preprocessing

This repository contains scripts for producting preprocessed ARQMath competition datasets:

  • output_data/ARQMath_CLEF2020/Formulas/formula_*.V1.0.{tsv,failures}
    all formulae for the ARQMath competition,
  • output_data/ARQMath_CLEF2020/Task1/Sample Topics/Formula_topics_*_V2.0.{tsv,failures}
    formulae from sample topics for task 1 of the ARQMath competition,
  • output_data/ARQMath_CLEF2020/Task1/Topics/Formula_topics_*_V2.0.{tsv,failures}
    formulae from testing topics for task 1 of the ARQMath competition,
  • output_data/ARQMath_CLEF2020/Task2/Formula_topics_*_V2.0.{tsv,failures}
    formulae from testing topics for task 2 of the ARQMath competition,
  • output_data/ARQMath_CLEF2020/Collection/votes-qrels.V1.0.tsv
    our relevance judgements for task 1 of the ARQMath competition,
  • output_data/ARQMath_CLEF2020/Collection/Posts_V1_0_*.json.gz
    the document collection for the ARQMath competition,
  • output_data/arxiv-dataset-arXMLiv-08-2019/arxmliv_*_08_2019_*.json.gz.{json.gz,failures}
    tokenized documents and paragraphs from the arXMLiv 08.2019 dataset,
  • output_data/ntcir/NTCIR11-Math/NTCIR11-Math2-queries-*-participants.{json,failures}
    tokenized topics from the NTCIR-11 Math-2 Task Main Subtask, and
  • output_data/ntcir/NTCIR12-Math/NTCIR12-Math-queries-*-participants.{json,failures}
    tokenized topics from the NTCIR-12 MathIR Task ArXiv Main Subtask.
  • output_data/ntcir/NTCIR12-Math-Wiki-Formula/NTCIR12-MathWikiFormula-queries-*-participants.{json,failures}
    tokenized topics from the NTCIR-12 MathIR Task MathWikiFormula Subtask.
  • output_data/ntcir/NTCIR12-Math-Wiki-Formula/MathTagArticles_*.json.gz
    tokenized arXiv articles from the NTCIR-12 MathIR Task MathWikiFormula Subtask.

Downloading the preprocessed datasets

To download the preprocessed datasets, run the following commands:

$ pip install -r requirements.txt
$ dvc pull

Producing the preprocessed datasets

To produce the preprocessed datasets yourself,