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mpqe_clean_data_splits's Introduction

The splits provided in mpqe are very tailored to that implementation. This script takes that data (the three sets AM, AIFB, MUTAG) and converts it into a more accessible form.

The generated files, for each of these datasets are:

The triples

  • test.nt : the test triples in n-triples format
  • train.nt : the training triples in n-triples format
  • valid.nt : the validation triples in n-triples format

Mappings to unique IDs

  • entoid : a mapping from each entity used in any of the three files above to a unique ID
  • reltoid : a mapping from each relation used in any of the three files above to a unique ID

The types of entities

  • entity_url_typing.txt : a type label for each entity occurring in the files above
  • entity_id_typing.txt : a type label for each entity occurring in the files above, indexed by the ID from entiod

These datasets are also in this repository ./data/compressed_triple_splits.zip

To run things yourself, get the data from mpqe and extract them in the folder called data Then, install the dependencies using pip install -e .

Then run mpqe-clean

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