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Sou-Cheng/LDData

1,576 downloads in 30 days0 likesLast modified 20 Nov 2025View on Hugging Face
Unclear

The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence
Not declared in the tag or the card (see datasets with no declared licence)Evidence: README.md at 5c55b76
Licence files
LICENSE.txt, detected as apache-2.0Evidence: LICENSE.txt at 5c55b76
Declared sources
None listed in the card metadata
Access gated on Hugging Face
No
Each cell links to what was checked: a file, a file list or a Hub record.

Citation text from the card

@article{sorokin.2025.ld_randomizations_ho_nets_fast_kernel_mats,
  title               = {{QMCPy}: a {P}ython software for randomized low-discrepancy sequences, quasi-{M}onte {C}arlo, and fast kernel methods},
  author              = {Aleksei G. Sorokin},
  year                = {2025},
  journal             = {ArXiv preprint},
  volume              = {abs/2502.14256},
  url                 = {https://arxiv.org/abs/2502.14256},
}


@inproceedings{choi.QMC_software,
  title               = {Quasi-{M}onte {C}arlo software},
  author              = {Choi, Sou-Cheng T. and Hickernell, Fred J. and Rathinavel, Jagadeeswaran and McCourt, Michael J. and Sorokin, Aleksei G.},
  year                = {2022},
  booktitle           = {{M}onte {C}arlo and Quasi-{M}onte {C}arlo Methods 2020},
  publisher           = {Springer International Publishing},
  address             = {Cham},
  pages               = {23--47},
  isbn                = {978-3-030-98319-2},
  editor              = {Keller, Alexander},
}

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dataset_licence({ "id": "Sou-Cheng/LDData" })
signal: "unclear"
stated_licence: null
sources: 0