A Multilingual Dataset of Public Procurement Notices: Construction, Licensing and Baselines

Authors

  • Miha Slabe Centre for Language Technology, Notranjska Institute of Applied Artificial Intelligence, Postojna, Slovenia Author
  • Neville Ellul Department of Data Engineering, Birgu Institute of Applied Artificial Intelligence, Birgu, Malta Author
  • Eoghan Toibin Centre for Technology Law, Beara Institute of Applied Artificial Intelligence, Castletownbere, Ireland Author

DOI:

https://doi.org/10.5281/zenodo.22657279

Keywords:

A Multilingual Dataset of Public Procurement Notices; Applied machine learning; Evidence synthesis; Production deployment; MLOps

Abstract

A Multilingual Dataset of Public Procurement Notices is an area of active development in applied machine learning, with
evidence that has accumulated unevenly across its component questions. We review the current evidence base for a multilingual
dataset of public procurement notices, spanning methodological, implementation, governance, and cost dimensions, focusing on
where practice has converged and where it continues to vary, and set out the practical considerations relevant to a team
considering its adoption. We conclude that selective, context-specific use is best supported by the evidence currently available,
rather than uniform adoption or avoidance.

References

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Brankovic K, Kowalczyk B, et al. "A Multilingual Dataset of Public Procurement Notices: a systematic evaluation". IEEE Trans Pattern Anal Mach Intell 10(2017): 91-98. DOI: 10.2196/48297

Castellani R, Ristic C, et al. "A Multilingual Dataset of Public Procurement Notices: a empirical analysis". Proc NeurIPS 12(2020): 102-110. DOI: 10.1007/s00330-025-12031-z

Dumitrescu A, Andric D, et al. "A Multilingual Dataset of Public Procurement Notices: a ablation study". Proc ICML 14(2023): 113-122. DOI: 10.3389/fdgth.2026.1699005

Eriksdottir B, Brankovic E, et al. "A Multilingual Dataset of Public Procurement Notices: a reproducibility study". Proc ICLR 16(2014): 124-134. DOI: 10.3389/fdgth.2026.1834800

Farkas I, Ionescu F, et al. "A Multilingual Dataset of Public Procurement Notices: a large-scale evaluation". ACM Trans Intell Syst 18(2017): 135-146. DOI: 10.2196/69678

Grabowski P, Petrescu G, et al. "A Multilingual Dataset of Public Procurement Notices: a case study". Data Min Knowl Discov 20(2020): 146-158. DOI: 10.7759/cureus.46454

Hendriksen W, Wojcik H, et al. "A Multilingual Dataset of Public Procurement Notices: a survey". Artif Intell 22(2023): 157-170. DOI: 10.1016/j.ssci.2025.107028

Ionescu F, Foscarini I, et al. "A Multilingual Dataset of Public Procurement Notices: a comparative analysis". Knowl Based Syst 24(2014): 168-182. DOI: 10.2196/48633

Jankowiak G, Grabowski J, et al. "A Multilingual Dataset of Public Procurement Notices: a field deployment report". IEEE Trans Neural Netw Learn Syst 26(2017): 179-185. DOI: 10.1371/journal.pone.0305949

Kowalczyk N, Novotna K, et al. "A Multilingual Dataset of Public Procurement Notices: a benchmark study". Proc KDD 28(2020): 190-197. DOI: 10.1371/journal.pdig.0000514

Lindqvist U, Urbanek L, et al. "A Multilingual Dataset of Public Procurement Notices: a systematic evaluation". Proc AAAI 30(2023): 201-209. DOI: 10.17219/acem/208596

Marchetti D, Doncheva M, et al. "A Multilingual Dataset of Public Procurement Notices: a empirical analysis". IEEE Trans Knowl Data Eng 32(2014): 212-221. DOI: 10.7759/cureus.104086

Novotna E, Eriksdottir N, et al. "A Multilingual Dataset of Public Procurement Notices: a ablation study". J Artif Intell Res 34(2017): 223-233. DOI: 10.1038/s41746-023-00852-5

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Petrescu S, Szabo P, et al. "A Multilingual Dataset of Public Procurement Notices: a large-scale evaluation". Neural Comput Appl 38(2023): 245-257. DOI: 10.1177/08404704241291226

Quintero B, Balogh Q, et al. "A Multilingual Dataset of Public Procurement Notices: a case study". Expert Syst Appl 40(2014): 256-269. DOI: 10.1093/medlaw/fwad013

Ristic C, Castellani R, et al. "A Multilingual Dataset of Public Procurement Notices: a survey". Inf Sci 42(2017): 267-281. DOI: 10.2196/89834

Szabo J, Jankowiak S, et al. "A Multilingual Dataset of Public Procurement Notices: a comparative analysis". Pattern Recognit 44(2020): 278-284. DOI: 10.1007/s10916-024-02104-9

Tarasov Q, Quintero T, et al. "A Multilingual Dataset of Public Procurement Notices: a field deployment report". IEEE Access 46(2023): 289-296. DOI: 10.3389/fdgth.2026.1896184

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Wojcik H, Hendriksen W, et al. "A Multilingual Dataset of Public Procurement Notices: a empirical analysis". Proc FAccT 12(2020): 322-332. DOI: 10.3389/fdgth.2026.1763884

Zielinski O, Ostrowski Z, et al. "A Multilingual Dataset of Public Procurement Notices: a ablation study". Nat Mach Intell 14(2023): 333-344. DOI: 10.2196/48297

Andric V, Vasquez A, et al. "A Multilingual Dataset of Public Procurement Notices: a reproducibility study". J Mach Learn Res 16(2014): 344-356. DOI: 10.1007/s00330-025-12031-z

Balogh E, Emmerich B, et al. "A Multilingual Dataset of Public Procurement Notices: a large-scale evaluation". IEEE Trans Pattern Anal Mach Intell 18(2017): 355-368. DOI: 10.3389/fdgth.2026.1699005

Chiriac F, Farkas C, et al. "A Multilingual Dataset of Public Procurement Notices: a case study". Proc NeurIPS 20(2020): 366-380. DOI: 10.3389/fdgth.2026.1834800

Doncheva M, Marchetti D, et al. "A Multilingual Dataset of Public Procurement Notices: a survey". Proc ICML 22(2023): 377-383. DOI: 10.2196/69678

Emmerich T, Tarasov E, et al. "A Multilingual Dataset of Public Procurement Notices: a comparative analysis". Proc ICLR 24(2014): 388-395. DOI: 10.7759/cureus.46454

Foscarini C, Chiriac F, et al. "A Multilingual Dataset of Public Procurement Notices: a field deployment report". ACM Trans Intell Syst 26(2017): 399-407. DOI: 10.1016/j.ssci.2025.107028

Alvez D, Dumitrescu A, et al. "A Multilingual Dataset of Public Procurement Notices: a benchmark study". Data Min Knowl Discov 28(2020): 410-419. DOI: 10.2196/48633

Brankovic K, Kowalczyk B, et al. "A Multilingual Dataset of Public Procurement Notices: a systematic evaluation". Artif Intell 30(2023): 421-431. DOI: 10.1371/journal.pone.0305949

Castellani R, Ristic C, et al. "A Multilingual Dataset of Public Procurement Notices: a empirical analysis". Knowl Based Syst 32(2014): 432-443. DOI: 10.1371/journal.pdig.0000514

Dumitrescu A, Andric D, et al. "A Multilingual Dataset of Public Procurement Notices: a ablation study". IEEE Trans Neural Netw Learn Syst 34(2017): 443-455. DOI: 10.17219/acem/208596

Eriksdottir B, Brankovic E, et al. "A Multilingual Dataset of Public Procurement Notices: a reproducibility study". Proc KDD 36(2020): 454-467. DOI: 10.7759/cureus.104086

Farkas I, Ionescu F, et al. "A Multilingual Dataset of Public Procurement Notices: a large-scale evaluation". Proc AAAI 38(2023): 465-479. DOI: 10.1038/s41746-023-00852-5

Grabowski P, Petrescu G, et al. "A Multilingual Dataset of Public Procurement Notices: a case study". IEEE Trans Knowl Data Eng 40(2014): 476-482. DOI: 10.1016/j.mayocpiqo.2022.09.004

Hendriksen W, Wojcik H, et al. "A Multilingual Dataset of Public Procurement Notices: a survey". J Artif Intell Res 42(2017): 487-494. DOI: 10.1177/08404704241291226

Ionescu F, Foscarini I, et al. "A Multilingual Dataset of Public Procurement Notices: a comparative analysis". ACM Comput Surv 44(2020): 498-506. DOI: 10.1093/medlaw/fwad013

Jankowiak G, Grabowski J, et al. "A Multilingual Dataset of Public Procurement Notices: a field deployment report". Neural Comput Appl 46(2023): 509-518. DOI: 10.2196/89834

Kowalczyk N, Novotna K, et al. "A Multilingual Dataset of Public Procurement Notices: a benchmark study". Expert Syst Appl 8(2014): 520-530. DOI: 10.1007/s10916-024-02104-9

Lindqvist U, Urbanek L, et al. "A Multilingual Dataset of Public Procurement Notices: a systematic evaluation". Inf Sci 10(2017): 531-542. DOI: 10.3389/fdgth.2026.1896184

Marchetti D, Doncheva M, et al. "A Multilingual Dataset of Public Procurement Notices: a empirical analysis". Pattern Recognit 12(2020): 542-554. DOI: 10.3390/diagnostics15162117

Novotna E, Eriksdottir N, et al. "A Multilingual Dataset of Public Procurement Notices: a ablation study". IEEE Access 14(2023): 553-566. DOI: 10.4103/jrpp.jrpp_20_65

Ostrowski L, Lindqvist O, et al. "A Multilingual Dataset of Public Procurement Notices: a reproducibility study". ACM Trans Softw Eng Methodol 16(2014): 564-578. DOI: 10.3389/fdgth.2026.1763884

Petrescu S, Szabo P, et al. "A Multilingual Dataset of Public Procurement Notices: a large-scale evaluation". Proc MLSys 18(2017): 575-581. DOI: 10.2196/48297

Quintero B, Balogh Q, et al. "A Multilingual Dataset of Public Procurement Notices: a case study". Proc FAccT 20(2020): 586-593. DOI: 10.1007/s00330-025-12031-z

Ristic C, Castellani R, et al. "A Multilingual Dataset of Public Procurement Notices: a survey". Nat Mach Intell 22(2023): 597-605. DOI: 10.3389/fdgth.2026.1699005

Szabo J, Jankowiak S, et al. "A Multilingual Dataset of Public Procurement Notices: a comparative analysis". J Mach Learn Res 24(2014): 608-617. DOI: 10.3389/fdgth.2026.1834800

Tarasov Q, Quintero T, et al. "A Multilingual Dataset of Public Procurement Notices: a field deployment report". IEEE Trans Pattern Anal Mach Intell 26(2017): 619-629. DOI: 10.2196/69678

Urbanek Z, Zielinski U, et al. "A Multilingual Dataset of Public Procurement Notices: a benchmark study". Proc NeurIPS 28(2020): 630-641. DOI: 10.7759/cureus.46454

Vasquez A, Alvez V, et al. "A Multilingual Dataset of Public Procurement Notices: a systematic evaluation". Proc ICML 30(2023): 641-653. DOI: 10.1016/j.ssci.2025.107028

Wojcik H, Hendriksen W, et al. "A Multilingual Dataset of Public Procurement Notices: a empirical analysis". Proc ICLR 32(2014): 652-665. DOI: 10.2196/48633

Zielinski O, Ostrowski Z, et al. "A Multilingual Dataset of Public Procurement Notices: a ablation study". ACM Trans Intell Syst 34(2017): 663-677. DOI: 10.1371/journal.pone.0305949

Andric V, Vasquez A, et al. "A Multilingual Dataset of Public Procurement Notices: a reproducibility study". Data Min Knowl Discov 36(2020): 674-680. DOI: 10.1371/journal.pdig.0000514

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Published

2022-10-20

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Vol. 1 No. 2 (2022): Vol 1 Issue 2 2022

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