cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.58132/vqhepl
title: Dynamic structure factor of quantum hard rods from exact form-factors

description: Data used to plot the figures presented in the paper "Dynamic structure factor of quantum hard rods from exact form-factors", arXiv:2509.02314. The data was generated using ABACUS library supplemented by us with the hard rods functionality. All the files are in a plain text format. The extensions used (.dsf, .ssf, .sft), follow the conventions of ABACUS, and reflect the data contained in a file.For the description of the data and its formating see readme.txt.
DOI: 10.5281/zenodo.17854506
title: Lifesaver
DOI: 10.5281/zenodo.17854507
title: Lifesaver
DOI: 10.15468/dl.97mwcd
title: Occurrence Download

description: A dataset containing 228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Synelmis albini",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 228 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037203-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sjucjd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((110.492 -1.298819, 110.421719 -1.304384, 110.353167 -1.320945, 110.288032 -1.348093, 110.227917 -1.38516, 110.174301 -1.431234, 110.128504 -1.485181, 110.091654 -1.545673, 110.064658 -1.611221, 110.048183 -1.680211, 110.042634 -1.750946, 110.04815 -1.821683, 110.064595 -1.890681, 110.091567 -1.956241, 110.128401 -2.016747, 110.174193 -2.070711, 110.227814 -2.116801, 110.287945 -2.153883, 110.353104 -2.181043, 110.421686 -2.197611, 110.492 -2.203179, 110.562314 -2.197611, 110.630896 -2.181043, 110.696055 -2.153883, 110.756186 -2.116801, 110.809807 -2.070711, 110.855599 -2.016747, 110.892433 -1.956241, 110.919405 -1.890681, 110.93585 -1.821683, 110.941366 -1.750946, 110.935817 -1.680211, 110.919342 -1.611221, 110.892346 -1.545673, 110.855496 -1.485181, 110.809699 -1.431234, 110.756083 -1.38516, 110.695968 -1.348093, 110.630833 -1.320945, 110.562281 -1.304384, 110.492 -1.298819))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037204-251120083545085/datasets/export for details.
DOI: 10.15468/dl.jaegeq
title: Occurrence Download

description: A dataset containing 35823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sarcophilus harrisii",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 35823 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037206-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15100351
title: MultiClaimNet: A Massively Multilingual Dataset of Fact-Checked Claim Clusters

description: MultiClaimNet is a collection of three multilingual claim cluster datasets. The claims discussing similar facts are automatically grouped and annotated with a cluster ID. The following three datasets within MultiClaimNet contain claims written in 86 languages across diverse topics. 

 




Dataset
Number of Claims
Number of Clusters
Number of Languages


ClaimCheck
1187
197
22


ClaimMatch
1171
192
36


MultiClaim
85.3K
30.9K
78




 

Paper: https://aclanthology.org/2025.findings-emnlp.599.pdf

Preprint: https://arxiv.org/abs/2503.22280

 

Content:



Claim - Factchecked Claim

ClusterID - Cluster ID

Language - Original language of the claim

Translation - English translation

NID - Unique identifier of the Claim


In addition to the above fields, the MultiClaim dataset contains the following fields from the original dataset.



Timestamp

URL


 

References

If you use any dataset from MultiClaimNet, in any publication, project, tool, or in any other form, please, cite the following paper:

@inproceedings{panchendrarajan-etal-2025-multiclaimnet,
    title = "{M}ulti{C}laim{N}et: A Massively Multilingual Dataset of Fact-Checked Claim Clusters",
    author = "Panchendrarajan, Rrubaa  and
      P{\'e}rez, Rub{\'e}n M{\'i}guez  and
      Zubiaga, Arkaitz",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2025",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.findings-emnlp.599/",
    doi = "10.18653/v1/2025.findings-emnlp.599",
    pages = "11203--11215",
    ISBN = "979-8-89176-335-7"}

If you use the MultiClaim dataset from the MultiClaimNet collection in any publication, project, tool, or in any other form, please, cite the following paper in addition to the above:

@inproceedings{pikuliak-etal-2023-multilingual,
    title = "Multilingual Previously Fact-Checked Claim Retrieval",
    author = "Pikuliak, Mat{\'u}{\v{s}} and Srba, Ivan and Moro, Robert and Hromadka, Timo and Smole{\v{n}}, Timotej and Meli{\v{s}}ek, Martin and Vykopal, Ivan and Simko, Jakub and Podrou{\v{z}}ek, Juraj and Bielikova, Maria",
    editor = "Bouamor, Houda  and Pino, Juan  and Bali, Kalika",
    booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.emnlp-main.1027",
    doi = "10.18653/v1/2023.emnlp-main.1027",
    pages = "16477--16500",
}
DOI: 10.5281/zenodo.15100352
title: MultiClaimNet: A Massively Multilingual Dataset of Fact-Checked Claim Clusters

description: MultiClaimNet is a collection of three multilingual claim cluster datasets. The claims discussing similar facts are automatically grouped and annotated with a cluster ID. The following three datasets within MultiClaimNet contain claims written in 86 languages across diverse topics. 

 




Dataset
Number of Claims
Number of Clusters
Number of Languages


ClaimCheck
1187
197
22


ClaimMatch
1171
192
36


MultiClaim
85.3K
30.9K
78




 

Paper: https://aclanthology.org/2025.findings-emnlp.599.pdf

Preprint: https://arxiv.org/abs/2503.22280

 

Content:



Claim - Factchecked Claim

ClusterID - Cluster ID

Language - Original language of the claim

Translation - English translation

NID - Unique identifier of the Claim


In addition to the above fields, the MultiClaim dataset contains the following fields from the original dataset.



Timestamp

URL


 

References

If you use any dataset from MultiClaimNet, in any publication, project, tool, or in any other form, please, cite the following paper:

@inproceedings{panchendrarajan-etal-2025-multiclaimnet,
    title = "{M}ulti{C}laim{N}et: A Massively Multilingual Dataset of Fact-Checked Claim Clusters",
    author = "Panchendrarajan, Rrubaa  and
      P{\'e}rez, Rub{\'e}n M{\'i}guez  and
      Zubiaga, Arkaitz",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2025",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.findings-emnlp.599/",
    doi = "10.18653/v1/2025.findings-emnlp.599",
    pages = "11203--11215",
    ISBN = "979-8-89176-335-7"}

If you use the MultiClaim dataset from the MultiClaimNet collection in any publication, project, tool, or in any other form, please, cite the following paper in addition to the above:

@inproceedings{pikuliak-etal-2023-multilingual,
    title = "Multilingual Previously Fact-Checked Claim Retrieval",
    author = "Pikuliak, Mat{\'u}{\v{s}} and Srba, Ivan and Moro, Robert and Hromadka, Timo and Smole{\v{n}}, Timotej and Meli{\v{s}}ek, Martin and Vykopal, Ivan and Simko, Jakub and Podrou{\v{z}}ek, Juraj and Bielikova, Maria",
    editor = "Bouamor, Houda  and Pino, Juan  and Bali, Kalika",
    booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.emnlp-main.1027",
    doi = "10.18653/v1/2023.emnlp-main.1027",
    pages = "16477--16500",
}
DOI: 10.15468/dl.bxtqsj
title: Occurrence Download

description: A dataset containing 36184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 9.085278",
 "DecimalLatitude is less than or equal to 14.085278",
 "DecimalLongitude is greater than or equal to 105.0",
 "DecimalLongitude is less than or equal to 110.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 36184 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037208-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.md3frp
title: Occurrence Download

description: A dataset containing 30743 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Vespa velutina",
 "Year is one of (2024, 2025)",
 "HasCoordinate is true",
 "Geometry POLYGON((3.5 43.5, 12.5 43.5, 12.5 50.5, 3.5 50.5, 3.5 43.5))"
 ]
}

 The dataset includes 30743 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037207-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g9shfh
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pisione puzae",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037210-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17854519
title: Datasets used in "Extending Mined Rules for Link Prediction with Schema-based Exceptions"
DOI: 10.15468/dl.aht7me
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.871 -1.292818, 103.800719 -1.298384, 103.732168 -1.314945, 103.667033 -1.342093, 103.606918 -1.37916, 103.553302 -1.425234, 103.507505 -1.479181, 103.470655 -1.539673, 103.44366 -1.605221, 103.427184 -1.674211, 103.421635 -1.744946, 103.427151 -1.815683, 103.443596 -1.884681, 103.470568 -1.950241, 103.507403 -2.010748, 103.553194 -2.064711, 103.606815 -2.110801, 103.666946 -2.147883, 103.732105 -2.175043, 103.800686 -2.191611, 103.871 -2.197179, 103.941314 -2.191611, 104.009895 -2.175043, 104.075054 -2.147883, 104.135185 -2.110801, 104.188806 -2.064711, 104.234597 -2.010748, 104.271432 -1.950241, 104.298404 -1.884681, 104.314849 -1.815683, 104.320365 -1.744946, 104.314816 -1.674211, 104.29834 -1.605221, 104.271345 -1.539673, 104.234495 -1.479181, 104.188698 -1.425234, 104.135082 -1.37916, 104.074967 -1.342093, 104.009832 -1.314945, 103.941281 -1.298384, 103.871 -1.292818))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037211-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wf5tv6
title: Occurrence Download

description: A dataset containing 30743 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Vespa velutina",
 "Year is one of (2024, 2025)",
 "HasCoordinate is true",
 "Geometry POLYGON((3.5 43.5, 12.5 43.5, 12.5 50.5, 3.5 50.5, 3.5 43.5))"
 ]
}

 The dataset includes 30743 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037212-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7qvatk
title: Occurrence Download

description: A dataset containing 30743 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Vespa velutina",
 "Year is one of (2024, 2025)",
 "HasCoordinate is true",
 "Geometry POLYGON((3.5 43.5, 12.5 43.5, 12.5 50.5, 3.5 50.5, 3.5 43.5))"
 ]
}

 The dataset includes 30743 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037213-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.31422.34881
title: Analisis Kritis Kegagalan Kapasitas Mesin Pencacah PET 1 Mata Pisau: Diagnosis Inefisiensi Mekanis pada Laporan Capstone Design
DOI: 10.15468/dl.yvz22x
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sciurocheirus alleni",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 94 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037215-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kcyk65
title: Occurrence Download

description: A dataset containing 30743 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Vespa velutina",
 "Year is one of (2024, 2025)",
 "HasCoordinate is true",
 "Geometry POLYGON((3.5 43.5, 12.5 43.5, 12.5 50.5, 3.5 50.5, 3.5 43.5))"
 ]
}

 The dataset includes 30743 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037216-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kqpagk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.054 -1.290818, 101.983719 -1.296384, 101.915168 -1.312945, 101.850033 -1.340093, 101.789918 -1.37716, 101.736302 -1.423234, 101.690505 -1.477181, 101.653655 -1.537673, 101.62666 -1.603221, 101.610185 -1.672211, 101.604636 -1.742946, 101.610151 -1.813683, 101.626597 -1.882681, 101.653569 -1.948241, 101.690403 -2.008748, 101.736195 -2.062711, 101.789816 -2.108801, 101.849946 -2.145883, 101.915105 -2.173043, 101.983686 -2.189611, 102.054 -2.195179, 102.124314 -2.189611, 102.192895 -2.173043, 102.258054 -2.145883, 102.318184 -2.108801, 102.371805 -2.062711, 102.417597 -2.008748, 102.454431 -1.948241, 102.481403 -1.882681, 102.497849 -1.813683, 102.503364 -1.742946, 102.497815 -1.672211, 102.48134 -1.603221, 102.454345 -1.537673, 102.417495 -1.477181, 102.371698 -1.423234, 102.318082 -1.37716, 102.257967 -1.340093, 102.192832 -1.312945, 102.124281 -1.296384, 102.054 -1.290818))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037217-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17854355
title: Riparian DNA and Site Data

description: This repository includes the site data, spider sample data, and DNA barcoding data in support of the manuscript Riparian clear-cuts affect the source of riparian spider prey depending on capture strategy.
DOI: 10.5281/zenodo.17854356
title: Riparian DNA and Site Data

description: This repository includes the site data, spider sample data, and DNA barcoding data in support of the manuscript Riparian clear-cuts affect the source of riparian spider prey depending on capture strategy.
DOI: 10.5281/zenodo.17853793
title: Dataset for ARS accuracy testing

description: This dataset has all the data used for the Antenatal Risk Stratification (ARS) accuracy testing
DOI: 10.5281/zenodo.17853794
title: Dataset for ARS accuracy testing

description: This dataset has all the data used for the Antenatal Risk Stratification (ARS) accuracy testing
DOI: 10.15468/dl.kvj32z
title: Occurrence Download

description: A dataset containing 6001 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pisione remota",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6001 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037218-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u5syc2
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sciurus richmondi",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 55 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037219-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17854176
title: Source data for Figures 2-3 and Supplementary Figure 4 of DRAP3R manuscript

description: Source data for Figures 2 and 3 and Supplementary Figure 4 in the manuscript entitled: Defining expansions and perturbations to the RNA polymerase III transcriptome and epitranscriptome by modified direct RNA nanopore sequencing (DRAP3R)
DOI: 10.5281/zenodo.17854177
title: Source data for Figures 2-3 and Supplementary Figure 4 of DRAP3R manuscript

description: Source data for Figures 2 and 3 and Supplementary Figure 4 in the manuscript entitled: Defining expansions and perturbations to the RNA polymerase III transcriptome and epitranscriptome by modified direct RNA nanopore sequencing (DRAP3R)
DOI: 10.15468/dl.2ryau5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.965 -1.283818, 102.894719 -1.289384, 102.826168 -1.305945, 102.761034 -1.333093, 102.700919 -1.37016, 102.647303 -1.416234, 102.601506 -1.470181, 102.564657 -1.530673, 102.537661 -1.596221, 102.521186 -1.665212, 102.515637 -1.735946, 102.521153 -1.806683, 102.537599 -1.875681, 102.56457 -1.941241, 102.601405 -2.001748, 102.647196 -2.055711, 102.700817 -2.101801, 102.760947 -2.138883, 102.826105 -2.166043, 102.894686 -2.182611, 102.965 -2.188179, 103.035314 -2.182611, 103.103895 -2.166043, 103.169053 -2.138883, 103.229183 -2.101801, 103.282804 -2.055711, 103.328595 -2.001748, 103.36543 -1.941241, 103.392401 -1.875681, 103.408847 -1.806683, 103.414363 -1.735946, 103.408814 -1.665212, 103.392339 -1.596221, 103.365343 -1.530673, 103.328494 -1.470181, 103.282697 -1.416234, 103.229081 -1.37016, 103.168966 -1.333093, 103.103832 -1.305945, 103.035281 -1.289384, 102.965 -1.283818))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037221-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17800137
title: DCP-Bench-Open

description: Here is the GitHub repository: https://github.com/DCP-Bench/DCP-Bench-OpenDCP-Bench-Open is a collaborative benchmark of Discrete Combinatorial Problems, with only involving integer and Boolean decision variables. Many problem formulations come from the Constraint Programming (CP) community, as well as the Integer Programming community (no continuous variables), Pseudo-Boolean and Satisfiability communities.This benchmark has two primary goals:1.  **To provide a centralized repository** of discrete combinatorial optimisation and satisfaction problems, including clear natural language descriptions, corresponding data instances and ground-truth constraint models.2.  **To serve as an evaluation framework** for evaluating generative AI systems (e.g. LLMs) in their ability to generate executable constraint models from natural language descriptions.In the repository, the ground-truth models are (currently) using the CPMpy library. The evaluation framework can (currently) evaluate generated models in CPMpy, MiniZinc or Or-Tools CP-SAT and more can be added with limited effort.This benchmark is an open source project that welcomes additional problems, data instances and evaluation tooling from interested developers. For reproducability, always use a specific 'Release' in your research (see below). This project started as an extension of the original CP-Bench (https://huggingface.co/datasets/kostis-init/CP-Bench) published at ECAI 2025.