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Unified, Labeled, and Semi-Structured Database of Pre-Processed Mexican Laws

Author

Listed:
  • Bella Martinez-Seis

    (Engineering Department, UPIITA-IPN, Instituto Politécnico Nacional, Mexico City 07360, Mexico)

  • Obdulia Pichardo-Lagunas

    (Engineering Department, UPIITA-IPN, Instituto Politécnico Nacional, Mexico City 07360, Mexico)

  • Harlan Koff

    (Department of Geography and Spatial Planning, University of Luxembourg, Maison des Sciences Humaines, 11, Porte des Sciences, L-4366 Luxembourg, Luxembourg
    GAMMA-UL Chair for Regional Integration and Sustainability, Instituto de Ecología, A.C. (INECOL), El Haya Xalapa 91070, Mexico
    Department of Politics and International Relations, University of Johannesburg, Auckland Park 2006, South Africa)

  • Miguel Equihua

    (Red de Ambiente y Sustentabilidad, Instituto de Ecología, A.C. (INECOL), Xalapa 91073, Mexico)

  • Octavio Perez-Maqueo

    (Red de Ambiente y Sustentabilidad, Instituto de Ecología, A.C. (INECOL), Xalapa 91073, Mexico)

  • Arturo Hernández-Huerta

    (Red de Ambiente y Sustentabilidad, Instituto de Ecología, A.C. (INECOL), Xalapa 91073, Mexico)

Abstract

This paper presents a corpus of pre-processed Mexican laws for computational tasks. The main contributions are the proposed JSON structure and the methodology used to achieve the semi-structured corpus with the selected algorithms. Law PDF documents were transformed into plain text, unified by a deconstruction of law–document structure, and labeled with natural language processing techniques considering part of speech (PoS); a process of entity extraction was also performed. The corpus includes the Mexican constitution and the Mexican laws that were collected from the official site in PDF format repealed before 14 October 2021. The collection has 305 documents, including: the Mexican constitution, 289 laws, 8 federal codes, 3 regulations, 2 statutes, 1 decree, and 1 ordinance. The semi-structured database includes the transformation of the set of laws from PDF format to a digital representation in order to facilitate its computational analysis. The documents were migrated to JSON type files to represent internal hierarchical relations. In addition, basic natural language processing techniques were implemented on laws for the identification of part of speech and named entities. The presented data set is mainly useful for text analysis and data science. It could be used for various legislative analysis tasks including: comprehension, interpretation, translation, classification, accessibility, coherence, and searches. Finally, we present some statistic of the identified entities and an example of the usefulness of the corpus for environmental laws.

Suggested Citation

  • Bella Martinez-Seis & Obdulia Pichardo-Lagunas & Harlan Koff & Miguel Equihua & Octavio Perez-Maqueo & Arturo Hernández-Huerta, 2022. "Unified, Labeled, and Semi-Structured Database of Pre-Processed Mexican Laws," Data, MDPI, vol. 7(7), pages 1-13, July.
    • Handle: RePEc:gam:jdataj:v:7:y:2022:i:7:p:91-:d:856500
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    References listed on IDEAS

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    1. Trinidad Beleche, 2019. "Domestic violence laws and suicide in Mexico," Review of Economics of the Household, Springer, vol. 17(1), pages 229-248, March.
    2. Dube, Arindrajit & Dube, Oeindrila & García-Ponce, Omar, 2013. "Cross-Border Spillover: U.S. Gun Laws and Violence in Mexico," American Political Science Review, Cambridge University Press, vol. 107(3), pages 397-417, August.
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