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Relevant bibliographies by topics / Legal dataset

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Academic literature on the topic 'Legal dataset'

Author: Grafiati

Published: 6 September 2023

Last updated: 26 July 2025

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Journal articles on the topic "Legal dataset"

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KUNČIČ, ALJAŽ. "Institutional quality dataset." Journal of Institutional Economics 10, no. 1 (2013): 135–61. http://dx.doi.org/10.1017/s1744137413000192.

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AbstractIn this paper, we emphasize the role of institutions as the underlying basis for economic and social activity. We describe and compare different institutional classification systems, which is rarely done in the literature, and show how to empirically operationalize institutional concepts. More than 30 established institutional indicators can be clustered into three homogeneous groups of formal institutions: legal, political and economic, which capture to a large extent the complete formal institutional environment of a country. We compute the latent quality of legal, political and econ

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Zhong, Haoxi, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, and Maosong Sun. "JEC-QA: A Legal-Domain Question Answering Dataset." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 9701–8. http://dx.doi.org/10.1609/aaai.v34i05.6519.

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We present JEC-QA, the largest question answering dataset in the legal domain, collected from the National Judicial Examination of China. The examination is a comprehensive evaluation of professional skills for legal practitioners. College students are required to pass the examination to be certified as a lawyer or a judge. The dataset is challenging for existing question answering methods, because both retrieving relevant materials and answering questions require the ability of logic reasoning. Due to the high demand of multiple reasoning abilities to answer legal questions, the state-of-the-

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Ratnayaka, Gathika, Nisansa de Silva, Amal Shehan Perera, Gayan Kavirathne, Thirasara Ariyarathna, and Anjana Wijesinghe. "Context Sensitive Verb Similarity Dataset for Legal Information Extraction." Data 7, no. 7 (2022): 87. http://dx.doi.org/10.3390/data7070087.

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Existing literature demonstrates that verbs are pivotal in legal information extraction tasks due to their semantic and argumentative properties. However, granting computers the ability to interpret the meaning of a verb and its semantic properties in relation to a given context can be considered as a challenging task, mainly due to the polysemic and domain specific behaviours of verbs. Therefore, developing mechanisms to identify behaviors of verbs and evaluate how artificial models detect the domain specific and polysemic behaviours of verbs can be considered as tasks with significant import

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Lin, Chun-Hsien, and Pu-Jen Cheng. "LARQS: An Analogical Reasoning Evaluation Dataset for Legal Word Embedding." International Journal on Natural Language Computing 11, no. 3 (2022): 1–16. http://dx.doi.org/10.5121/ijnlc.2022.11301.

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Applying natural language processing-related algorithms is currently a popular project in legal applications, for instance, document classification of legal documents, contract review and machine translation. Using the above machine learning algorithms, all need to encode the words in the document in the form of vectors. The word embedding model is a modern distributed word representation approach and the most common unsupervised word encoding method. It facilitates subjecting other algorithms and subsequently performing the downstream tasks of natural language processing vis-à-vis. The most c

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Chun-Hsien, Lin, and Cheng Pu-Jen. "LARQS: AN ANALOGICAL REASONING EVALUATION DATASET FOR LEGAL WORD EMBEDDING." International Journal on Natural Language Computing (IJNLC) 11, no. 3 (2022): 16. https://doi.org/10.5281/zenodo.6838828.

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Applying natural language processing-related algorithms is currently a popular project in legal applications, for instance, document classification of legal documents, contract review and machine translation. Using the above machine learning algorithms, all need to encode the words in the document in the form of vectors. The word embedding model is a modern distributed word representation approach and the most common unsupervised word encoding method. It facilitates subjecting other algorithms and subsequently performing the downstream tasks of natural language processing vis-à-vis. The

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Topaz, Chad M. "A structured dataset of the federalist society’s public engagements." F1000Research 14 (February 14, 2025): 213. https://doi.org/10.12688/f1000research.161735.1.

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Background The Federalist Society, a leading conservative legal organization, has played a significant role in shaping the American judiciary for decades. Despite its influence, comprehensive empirical data on the organization remains scarce. We address this gap by systematically documenting 20,205 public events hosted by the Society from 1984 to 2024, with substantive coverage from 2007 onward. Methods Following ethical best practices in data collection and ownership, we gathered event metadata—including titles, dates, locations, sponsors, topics, and speakers—via web scraping from the Federa

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Zein, Hazem, Samer Chantaf, Régis Fournier, and Amine Nait-Ali. "Generative adversarial networks for anonymous acneic face dataset generation." PLOS ONE 19, no. 4 (2024): e0297958. http://dx.doi.org/10.1371/journal.pone.0297958.

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It is well known that the performance of any classification model is effective if the dataset used for the training process and the test process satisfy some specific requirements. In other words, the more the dataset size is large, balanced, and representative, the more one can trust the proposed model’s effectiveness and, consequently, the obtained results. Unfortunately, large-size anonymous datasets are generally not publicly available in biomedical applications, especially those dealing with pathological human face images. This concern makes using deep-learning-based approaches challengin

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Armona, Luis, and Adam M. Rosenberg. "Measuring the Market for Legal Firearms." AEA Papers and Proceedings 114 (May 1, 2024): 52–57. http://dx.doi.org/10.1257/pandp.20241082.

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The Massachusetts Firearms Records Bureau recently published administrative data covering the universe of legal firearm transactions in the state. We use these data to validate state-level background checks as a proxy for firearm transactions and show that historical trends in transactions within Massachusetts align with the rest of the United States. Using auxiliary data from a national survey, we show that the Massachusetts dataset can detect patterns in the demographics of both gun ownership and type of firearm purchased. Our analysis suggests that this dataset is a promising source of info

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Shaheen, Z., D. I. Mouromtsev, and I. Postny. "RuLegalNER: a new dataset for Russian legal named entities recognition." Scientific and Technical Journal of Information Technologies, Mechanics and Optics 23, no. 4 (2023): 854–57. http://dx.doi.org/10.17586/2226-1494-2023-23-4-854-857.

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Owsiak, Andrew P., Allison K. Cuttner, and Brent Buck. "The International Border Agreements Dataset." Conflict Management and Peace Science 35, no. 5 (2016): 559–76. http://dx.doi.org/10.1177/0738894216646978.

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We introduce a dataset that focuses on the delimitation of interstate borders under international law—the International Border Agreements Dataset (IBAD). This dataset contains information on the agents involved in (e.g. states, third-parties, and colonial powers), methods used during (e.g. negotiation, mediation, arbitration, adjudication, administrative decrees, post-war conferences, and plebiscites), and outcomes of (e.g. full and intermediate agreements) the border settlement process during the period 1816–2001. Our focus on international legal agreements and the process that produces them

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Dissertations / Theses on the topic "Legal dataset"

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Bensoussan, Jean-Claude. "Proposition d'une methodologie d'identification reconstructive anthropologique et odontologique : application a l'etude d'une serie de mandibules datant du 18eme siecle, la chapelle saint-esprit, 06 antibes." Lyon 1, 1990. http://www.theses.fr/1990LYO1DS02.

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Raj, Rohit. "Towards Robustness of Neural Legal Judgement System." Thesis, 2023. https://etd.iisc.ac.in/handle/2005/6145.

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Legal Judgment Prediction (LJP) implements Natural Language Processing (NLP) techniques to predict judgment results based on fact description. It can play a vital role as a legal assistant and benefit legal practitioners and regular citizens. Recently, the rapid advances in transformer- based pre-trained language models led to considerable improvement in this area. However, empirical results show that existing LJP systems are not robust to adversaries and noise. Also, they cannot handle large-length legal documents. In this work, we explore the robustness and efficiency of LJP systems ev

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Books on the topic "Legal dataset"

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van der Sloot, Bart, and Sascha van Schendel. The Boundaries of Data. Amsterdam University Press, 2024. http://dx.doi.org/10.5117/9789463729192.

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The legal domain distinguishes between different types of data and attaches a different level of protection to each of them. Thus, non-personal data are left largely unregulated, while privacy and data protection rules apply to personal data or personal information. There are stricter rules for processing sensitive personal data than for ‘ordinary’ personal data, and metadata or communications data are regulated differently than content communications data. Technological developments challenge these legal categorisations on at least three fronts: First, the lines between the categories are bec

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Escobar-Lemmon, Maria C., Valerie J. Hoekstra, Alice J. Kang, and Miki Caul Kittilson. Reimagining the Judiciary. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198861577.001.0001.

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This book examines the factors that facilitate women’s representation on high courts worldwide. Diverse courts improve collective decision-making, strengthen public confidence in the judiciary and judicial decisions, and broaden access to the judicial process. Taken together, domestic and international factors explain women’s representation. These influences include judicial pipelines, domestic institutions including selection processes, and international expectations about gender equity. These explanations are evaluated using an original dataset, which includes both men and women appointed to

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Mickevič, Jolanta, Andrius Utka, Sigita Rackevičienė, et al. English-Lithuanian parallel cybersecurity corpus - DVITAS v2.0. Vytauto Didžiojo universitetas, 2024. https://doi.org/10.7220/20.500.12259/274265.

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English-Lithuanian parallel corpus DVITAS v2 includes original English texts on cybersecurity and their Lithuanian translations aligned on the sentence level. Version 1 of the corpus was compiled for the bilingual terminology extraction project DVITAS together with English-Lithuanian comparable corpus. The current 2nd version of the corpus features expansion of the 1st version containing additional 27 files and metadata information. The parallel corpus includes the EU legal acts and other documents from the time period of 2006-2022. The documents have been extracted from the EUR-Lex database a

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Hinkle, Rachael K. Selective Publication in the U.S. Courts of Appeals. Oxford University PressNew York, 2024. http://dx.doi.org/10.1093/oso/9780197770085.001.0001.

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Abstract This book presents a comprehensive, first of its kind, examination of the theoretical and empirical implications of a key institutional practice in a highly influential set of courts. The U.S. Courts of Appeals both formulate legal policy and provide a forum for losing litigants to pursue an appeal. In order to keep up with an increasing number of appeals, yet still provide quality legal analysis, in the 1970s these courts adopted the practice of designating some decisions as unpublished and declaring that such rulings are not binding precedent. Scholars focused on policy and the lawm

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Berlin, Mark S. Criminalizing Atrocity. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198850441.001.0001.

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Why do countries adopt criminal legislation making it possible to prosecute government and military officials for human rights violations? Over the past thirty years, dozens of countries have prosecuted their own or other states’ officials for past atrocities. Criminalizing Atrocity tells the story of the global spread of national criminal laws against atrocity crimes—genocide, war crimes, and crimes against humanity—laws that have helped pave the way for this remarkable trend toward greater accountability. It traces the early-twentieth-century origins of national atrocity laws to a group of i

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Ovodenko, Alexander. Producers, Trade Groups, and the Design of Global Environmental Regimes. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190677725.003.0006.

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The chapter provides a macro-level analysis of the legalization, standardization, and integration of global environmental rules. The statistical tests rely on two new datasets on global treaty regimes and business stakeholders in those regimes. The results demonstrate that treaty regimes that regulate oligopolistic industries tend to become integrated over time with protocols, amendments, and similar agreements that add new rules or institutions to the international regime. They also consist of legally binding agreements, not soft law commitments by parties, and standardized rules applicable t

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Aidinlis, Stergios. Big Data for the Public Good. Hart Publishing, 2025. https://doi.org/10.5040/9781509973330.

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Can researchers and innovators use UK public sector data to produce knowledge that improves policy making, scrutinises government work and promotes the public interest? This open access book looks at interactions between UK public sector officials and researchers/innovators to shed light on barriers to data access and use. It asks: what are the frameworks that govern access to public sector big datasets for researchers and innovators? How are these frameworks applied in practice? What are the governance solutions for policy makers interested in harnessing the untapped potential of public secto

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Book chapters on the topic "Legal dataset"

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de Vargas Feijó, Diego, and Viviane Pereira Moreira. "RulingBR: A Summarization Dataset for Legal Texts." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99722-3_26.

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Jain, Sarika, and Pooja Harde. "NER-IPL: Indian Legal Prediction Dataset for Named Entity Recognition." In Lecture Notes in Operations Research. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-61589-4_4.

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Mandal, Souraneel, and Tanaya Das. "N-Gram approach to prepare Crime-related Legal DataSet: A roadmap to classify Legal Text." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-69115-7_21.

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Stellato, Armando, Manuel Fiorelli, Andrea Turbati, et al. "Dataset Alignment and Lexicalization to Support Multilingual Analysis of Legal Documents." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00178-0_17.

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Luz de Araujo, Pedro Henrique, Teófilo E. de Campos, Renato R. R. de Oliveira, Matheus Stauffer, Samuel Couto, and Paulo Bermejo. "LeNER-Br: A Dataset for Named Entity Recognition in Brazilian Legal Text." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99722-3_32.

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Carlino, Marina, Heiner Fechner, and Andrea Schäfer. "Using Leximetrics for Coding Legal Segmentation in Employment Law: The Development and Potential of the Worlds of Labour Dataset." In Global Dynamics of Social Policy. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-82411-1_3.

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Abstract This chapter considers the development and potential of the new dataset ‘Worlds of Labour’ (WoL) in constructing and validating indicators for employment legislation (‘leximetrics’) to map legal segmentation. It is argued that there are certain limits to the measurement and mapping of employment and labour legislation. However, by quantifying indicators using leximetrics, the WoL can initiate new research on legal segmentation, dualisation and segregation.

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Egger, Clara, and Raul Magni-Berton. "A Comparative Journey into COVID-19 Policies in Europe." In International Series on Public Policy. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52096-9_1.

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AbstractThis introductory chapter discusses the specificities of crisis-management during the COVID-19 pandemic in Europe and presents the main purpose of this book. It highlights the importance of collecting comparative and legislative data on pandemic containment to be able to evaluate emergency public policies. It then presents the EXCEPTIUS dataset, its methods and the indicators it uses to capture the stringency of COVID-19 exceptional policies. Based on legal data from 32 European countries, this dataset documents a high degree of variability between these countries, particularly regardi

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Ates, Leyla, Moran Harari, and Markus Meinzer. "Negative Spillovers in International Corporate Taxation and the European Union." In Taxation, International Cooperation and the 2030 Sustainable Development Agenda. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64857-2_10.

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AbstractJurisdictions can engage in different types of aggressive tax policies to varying degrees. These policies can have negative spillover effects on other jurisdictions. In the realm of corporate taxation, these effects consist of base erosion and profit shifting and perceived pressures to reduce corporate taxes. Both direct and indirect effects undermine the efforts especially of developing countries at mobilising domestic resources to achieve the Sustainable Development Goals. We analyse the intensity of corrosive tax policies by exploiting a new legal dataset compiled for the Corporate

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Doytcheva, Milena. "Europeanizing Diversity: A Cross-Atlantic Conversation." In Handbook of Diversity Competence. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-69308-3_30.

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Abstract Based on a sociological inquiry into the paradoxical outcomes of diversity policies in European spaces, with a specific focus on France, this chapter traces the historical shift from a legal framework centered on anti-racism to the broader, more inclusive, diversity management paradigm. Drawing on a rich dataset of in-depth sociological interviews with corporate diversity actors, it offers a longitudinal perspective on the conceptual and policy transformations that have increasingly positioned these initiatives within a framework of white normativity, overshadowing race and ethnicity

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Baltes, Sebastian. "Software Developers’ Work Habits and Expertise: Empirical Studies on Sketching, Code Plagiarism, and Expertise Development." In Ernst Denert Award for Software Engineering 2019. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58617-1_4.

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AbstractAnalyzing and understanding software developers’ work habits and resulting needs is an essential prerequisite to improve software development practice. In our research, we utilize different qualitative and quantitative research methods to empirically investigate three underexplored aspects of software development: First, we analyze how software developers use sketches and diagrams in their daily work and derive requirements for better tool support. Then, we explore to what degree developers copy code from the popular online platform Stack Overflow without adhering to license requiremen

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Conference papers on the topic "Legal dataset"

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Salaün, Olivier, Frédéric Piedboeuf, Guillaume Le Berre, David Alfonso-Hermelo, and Philippe Langlais. "EUROPA: A Legal Multilingual Keyphrase Generation Dataset." In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.acl-long.687.

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Le, Hoa Quang, Huong Xuan Dieu Kieu, Khiem Vinh Tran, and Binh Thanh Nguyen. "LawViVQA: A Visual Question Answering Dataset for Vietnamese Legal Content." In 2024 RIVF International Conference on Computing and Communication Technologies (RIVF). IEEE, 2024. https://doi.org/10.1109/rivf64335.2024.11009025.

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Xie, Huiyuan, Felix Steffek, Joana De Faria, Christine Carter, and Jonathan Rutherford. "The CLC-UKET Dataset: Benchmarking Case Outcome Prediction for the UK Employment Tribunal." In Proceedings of the Natural Legal Language Processing Workshop 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.nllp-1.7.

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Huang, Wanhong, Yi Feng, Chuanyi Li, Honghan Wu, Jidong Ge, and Vincent Ng. "CMDL: A Large-Scale Chinese Multi-Defendant Legal Judgment Prediction Dataset." In Findings of the Association for Computational Linguistics ACL 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-acl.351.

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Chlapanis, Odysseas, Dimitris Galanis, and Ion Androutsopoulos. "LAR-ECHR: A New Legal Argument Reasoning Task and Dataset for Cases of the European Court of Human Rights." In Proceedings of the Natural Legal Language Processing Workshop 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.nllp-1.22.

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Hou, Abe Bohan, Orion Weller, Guanghui Qin, et al. "CLERC: A Dataset for U. S. Legal Case Retrieval and Retrieval-Augmented Analysis Generation." In Findings of the Association for Computational Linguistics: NAACL 2025. Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.findings-naacl.441.

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Moreira, Laís Natália da Silva, Geovana Ferreira Soares, Virna Alves de Carvalho Braga, Vitor Leite Glória, and Gabriel de Carvalho Mendes. "PERFIL EPIDEMIOLÓGICO DAS URGÊNCIAS E EMERGÊNCIAS CAUSADAS POR ANIMAIS PEÇONHENTOS NO PARÁ ENTRE OS ANOS DE 2020 A 2023." In Anais do I Congresso Brasileiro de Urgência e Emergência. Even3, 2025. https://doi.org/10.29327/1484146.1-7.

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Segundo o Ministério da Saúde, o Brasil é o país mais afetado por acidentes causados por animais peçonhentos, fenômenos que estão diretamente relacionados ao clima tropical e à diversidade do bioma. Tais acidentes têm maior prevalência em regiões tropicais, como as encontradas no Brasil, especialmente na região do Pará, que faz parte da Amazônia Legal e abriga uma grande variedade de animais peçonhentos. Devido aos altos índices de notificação, a Organização Mundial de Saúde incluiu os acidentes por animais peçonhentos na lista das doenças tropicais negligenciadas, que acometem em maior propor

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Darji, Harshil, Jelena Mitrović, and Michael Granitzer. "A Dataset of German Legal Reference Annotations." In ICAIL 2023: Nineteenth International Conference on Artificial Intelligence and Law. ACM, 2023. http://dx.doi.org/10.1145/3594536.3595173.

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Wrzalik, Marco, and Dirk Krechel. "GerDaLIR: A German Dataset for Legal Information Retrieval." In Proceedings of the Natural Legal Language Processing Workshop 2021. Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.nllp-1.13.

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Xue, Zongyue, Huanghai Liu, Yiran Hu, et al. "LEEC for Judicial Fairness: A Legal Element Extraction Dataset with Extensive Extra-Legal Labels." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/833.

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An extensive label system is pivotal to facilitate judicial fairness and social justice. Prior empirical research and our interview with legal professionals underscore the importance of extra-legal factors in criminal trials. To help identify sentencing biases and facilitate downstream applications, we introduce the Legal Element ExtraCtion (LEEC) dataset comprising 15,919 judicial documents and 155 labels. This dataset was constructed through two main steps: First, designing the label system by legal experts based on prior empirical research which identified critical factors driving and proce

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Reports on the topic "Legal dataset"

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Gwartney, James, Robert Lawson, Joshua Hall, and Ryan Murphy. Economic Freedom of the World: 2022 Dataset for Researchers. Fraser Institute, 2022. http://dx.doi.org/10.53095/88975003.

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Dataset for Researchers of the Economic Freedom of the World Annual Report that measures the degree to which the policies and institutions of countries are supportive of economic freedom. The cornerstones of economic freedom are personal choice, voluntary exchange, freedom to enter markets and compete, and security of the person and privately owned property. Forty-two data points are used to construct a summary index, along with a Gender Legal Rights Adjustment to measure the extent to which women have the same level of economic freedom as men. The degree of economic freedom is measured in fiv

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Gwartney, James, Robert Lawson, Joshua Hall, and Ryan Murphy. Economic Freedom of the World: 2022 Dataset by Country. Fraser Institute, 2022. http://dx.doi.org/10.53095/88975002.

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Dataset by Country of the Economic Freedom of the World Annual Report that measures the degree to which the policies and institutions of countries are supportive of economic freedom. The cornerstones of economic freedom are personal choice, voluntary exchange, freedom to enter markets and compete, and security of the person and privately owned property. Forty-two data points are used to construct a summary index, along with a Gender Legal Rights Adjustment to measure the extent to which women have the same level of economic freedom as men. The degree of economic freedom is measured in five bro

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Gwartney, James, Robert Lawson, and Ryan Murphy. Economic Freedom of the World: 2023 Annual Report Dataset by Country. Fraser Institute, 2023. http://dx.doi.org/10.53095/88975013.

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Dataset by Country of the Economic Freedom of the World: 2023 Annual Report that measures the degree to which the policies and institutions of countries are supportive of economic freedom. The cornerstones of economic freedom are personal choice, voluntary exchange, freedom to enter markets and compete, and security of the person and privately owned property. Forty-two data points are used to construct a summary index, along with a Gender Legal Rights Adjustment to measure the extent to which women have the same level of economic freedom as men. The degree of economic freedom is measured in fi

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Gwartney, James, Robert Lawson, and Ryan Murphy. Economic Freedom of the World: 2023 Annual Report Dataset for Researchers. Fraser Institute, 2023. http://dx.doi.org/10.53095/88975014.

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Dataset for Researchers of the Economic Freedom of the World: 2023 Annual Report that measures the degree to which the policies and institutions of countries are supportive of economic freedom. The cornerstones of economic freedom are personal choice, voluntary exchange, freedom to enter markets and compete, and security of the person and privately owned property. Forty-two data points are used to construct a summary index, along with a Gender Legal Rights Adjustment to measure the extent to which women have the same level of economic freedom as men. The degree of economic freedom is measured

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Stansel, Dean, José Torra, Fred McMahon, and Ángel Carrión-Tavárez. Economic Freedom of North America 2022 Full Dataset. Fraser Institute, 2022. http://dx.doi.org/10.53095/88975008.

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Full dataset of the Economic Freedom of North America that measures the extent to which the policies of individual provinces and states are supportive of economic freedom—the ability of individuals to act in the economic sphere free of undue restrictions. It includes a subnational index for comparison of individual jurisdictions (provincial/state and municipal/local governments) within the same country, and an all-government index for comparison of jurisdictions (federal governments) in different countries. For the subnational index, Economic Freedom of North America employs 10 variables for t

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Stansel, Dean, José Torra, Fred McMahon, and Ángel Carrión-Tavárez. Economic Freedom of North America 2022 Dataset-All Government. Fraser Institute, 2022. http://dx.doi.org/10.53095/88975007.

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Dataset of the all-government index of the Economic Freedom of North America for comparison of jurisdictions (federal governments) in different countries. The Economic Freedom of North America measures the extent to which the policies of individual provinces and states are supportive of economic freedom—the ability of individuals to act in the economic sphere free of undue restrictions. The all-government index employs 10 variables for the 92 provincial/state governments in Canada, the United States, and Mexico in three areas: (1) Government Spending, (2) Taxes, and (3) Regulation. Also, we in

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Stansel, Dean, José Torra, Fred McMahon, and Angel Carrion-Tavarez. Economic Freedom of North America 2023 Full Dataset. Fraser Institute, 2023. http://dx.doi.org/10.53095/88975019.

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Full dataset of the Economic Freedom of North America 2023 report that measures the extent to which the policies of individual provinces and states are supportive of economic freedom—the ability of individuals to act in the economic sphere free of undue restrictions. It includes an all-government index for comparison of jurisdictions (federal governments) in different countries and a subnational index for comparison of individual jurisdictions (provincial/state and municipal/local governments) within the same country. For the subnational index, Economic Freedom of North America 2023 employs 10

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Stansel, Dean, José Torra, Fred McMahon, and Angel Carrion-Tavarez. Economic Freedom of North America 2023 Dataset-All Government. Fraser Institute, 2023. http://dx.doi.org/10.53095/88975018.

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Abstract:

Dataset of the all-government index of the Economic Freedom of North America 2023 report for comparison of federal governments in different countries. Economic Freedom of North America 2023 measures the extent to which the policies of individual provinces and states are supportive of economic freedom—the ability of individuals to act in the economic sphere free of undue restrictions. The all-government index employs 10 variables for 92 provincial and state governments in Canada, the United States, and Mexico, and for the US territory of Puerto Rico in three areas: (1) Government Spending, (2)

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Chong, Alberto E., and Mark Gradstein. Is the World Flat?: Or Do Countries Still Matter? Inter-American Development Bank, 2006. http://dx.doi.org/10.18235/0010888.

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This paper revisits the effects of a country`s institutional framework on individual firms` behavior, in particular focusing on their propensity to comply with legal rules. The theoretical model presented here suggests that these effects may be of paramount significance contrary to the recently popularized paradigm arguing that differences across countries have ceased to matter much. This paper`s empirical strategy consists of explaining the variation in measures of non-compliance with legal rules and employs a rich dataset based on thousands of firms from dozens of countries. We find that mos

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Micco, Alejandro, and Arturo Galindo. Creditor Protection and Credit Volatility. Inter-American Development Bank, 2005. http://dx.doi.org/10.18235/0010961.

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This paper studies the relationship between creditor protection and credit volatility. During the negative phase of the business cycle, credit contracts more in countries with poor creditor protection. For similar shocks to business conditions, credit is more volatile in countries where creditors are weakly protected. We test this idea using a dataset on legal determinants of finance in a panel of data of aggregate credit growth for a sample of 139 countries during the period 1990-2003. We find support for the view that better legal protections significantly reduce the impact of exogenous shoc

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