{
 "id": "Sou-Cheng/LDData",
 "owner": "Sou-Cheng",
 "name": "LDData",
 "downloads": 1576,
 "likes": 0,
 "last_modified": "2025-11-20T15:11:49.000Z",
 "stated_licence": null,
 "stated_from": "none",
 "licence_name": null,
 "licence_link": null,
 "file_licence": "apache-2.0",
 "licence_files": [
  "LICENSE.txt"
 ],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "@article{sorokin.2025.ld_randomizations_ho_nets_fast_kernel_mats,\n  title               = {{QMCPy}: a {P}ython software for randomized low-discrepancy sequences, quasi-{M}onte {C}arlo, and fast kernel methods},\n  author              = {Aleksei G. Sorokin},\n  year                = {2025},\n  journal             = {ArXiv preprint},\n  volume              = {abs/2502.14256},\n  url                 = {https://arxiv.org/abs/2502.14256},\n}\n\n\n@inproceedings{choi.QMC_software,\n  title               = {Quasi-{M}onte {C}arlo software},\n  author              = {Choi, Sou-Cheng T. and Hickernell, Fred J. and Rathinavel, Jagadeeswaran and McCourt, Michael J. and Sorokin, Aleksei G.},\n  year                = {2022},\n  booktitle           = {{M}onte {C}arlo and Quasi-{M}onte {C}arlo Methods 2020},\n  publisher           = {Springer International Publishing},\n  address             = {Cham},\n  pages               = {23--47},\n  isbn                = {978-3-030-98319-2},\n  editor              = {Keller, Alexander},\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "5c55b76bf6b6aba3415a0dece9cc1269ff1be883",
 "stated_evidence": "https://huggingface.co/datasets/Sou-Cheng/LDData/blob/5c55b76bf6b6aba3415a0dece9cc1269ff1be883/README.md",
 "file_evidence": "https://huggingface.co/datasets/Sou-Cheng/LDData/blob/5c55b76bf6b6aba3415a0dece9cc1269ff1be883/LICENSE.txt",
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}