key: mdl-2021
short_name: MDL 2021
name: Montreal Data License (MDL) 2021
category: Proprietary Free
owner: LaboBioInfoUQÀM
homepage_url: https://github.com/bioinfoUQAM/Canadian-cropland-dataset-github/blob/ec09b091b69423a87febc56309c1e86d3b61e8cb/DATA_LICENSE
spdx_license_key: LicenseRef-scancode-mdl-2021
other_urls:
  - https://arxiv.org/abs/1903.12262
text: "Montreal Data License (MDL)\n\nThe following licensing language is made available under\
  \ CC-BY4.  Attribution should be made to Montreal Data License (MDL), or License language\
  \ based on Montreal Data License.\nThe authors are not legal advisors to the individuals and\
  \ entities making use of these licensing terms. The licensing terms can be combined as needed\
  \ to match the rights conferred by the licensor.\nThe language below assumes that all rights\
  \ are granted, however each right should be conferred or not based on the users intent.\n\
  Data License for use in AI and ML:\n\nThis license covers the Data made available by Licensor\
  \ to you (Licensee) under the following terms. Licensees use of the data consists acceptance\
  \ of the terms of this license agreement (License).\n\n1.  Definitions\n  a.\tData means the\
  \ informational content (individually or as a whole) made available by Licensor.\n  b.\tModel\
  \ means machine-learning or artificial-intelligence based algorithms, or assemblies thereof\
  \ that,  in combination with different techniques,  may be used to obtain certain results.\
  \  Without limitation, such results can be insights on past data patterns, predictions on\
  \ future trends or more abstract results.\n  c.\tOutput means the results of operating a Trained\
  \ Model as embodied in informational content resulting therefrom.\n  d.\tRepresentation is\
  \  a  transformation  of  a  piece  of  data  into  a  different  form.   Good representations\
  \ can be used as input to perform useful tasks.\n  e.\tLabelled Data means the associated\
  \ metadata and informational content derived from Data which identify, comment or otherwise\
  \ derive information from Data, such as tags and labels.\n  f.\tLicensor means the individual\
  \ or entity making the Data available to you.\n  g.\tThird Parties means individuals or entities\
  \ that are not under common control with Licensee.\n  h.\tTrain means to expose an Untrained\
  \ Model to the Data in order to adjust the weights, hyperparameters and/or structure thereof.\n\
  \  i.\tTrained Model means a Model that is exposed to Data such that its weights, parameters\
  \ and architecture embody insights from the Data.\n  j.\tUntrained  Model means  Model  that\
  \  is  conceived  and  reduced  to  practice  as  to  its structure, components and architecture\
  \ but that has not been trained on Data such that its weights, parameters and architecture\
  \ do not embody insights from the Data.\n\n2.  General Clauses\n  a.\tUnless otherwise agreed\
  \ in writing by the parties,  the data is licensed as is and as available.  Licensor excludes\
  \ all representations, warranties, obligations, and liabilities, whether express or implied,\
  \ to the maximum extent permitted by law.\n  b.\tNothing in this License permits Licensee\
  \ to make use of Licensors trademarks, tradenames,  logos or to otherwise suggest endorsement\
  \ or misrepresent the relationship between the parties.\n  c.\tThe  rights  granted  under\
  \  this  license  are  deemed  to  be  non-exclusive,  worldwide, perpetual and irrevocable,\
  \ unless otherwise specified in writing by Licensor.\n  d.\tWithout limiting Licensees rights\
  \ available under applicable law,  all rights not expressly granted hereunder are hereby reserved\
  \ by Licensor. The Data and the database under which it is made available remain the property\
  \ of Licensor (and/or its affiliates or licensors).\n  e.\tThis  license  shall  be  terminated\
  \  upon  any  breach  by  Licensee  of  the  terms  of  this License.\n\n3.  Licensed Rights\
  \ to the Data\n  a.\tLicensor hereby grants the following rights to Licensee with respect\
  \ to making use of the Data itself.\n    i. Access the Data, where access means to access,\
  \ view and/or download the Data to  view  it  and  evaluate  it  (evaluation  algorithms \
  \ may  be  exposed  to  it,  but  no Untrained Models).\n    ii. Creation of Tagged Data.\n\
  \    iii. Distribute the Data, i.e.  to make all or part of the Data available to Third Parties\
  \ under the same terms as those of this License.\n    iv.\tCreation of a Representation of\
  \ the Data.\n\n4.  Licensed Rights in Conjunction with Models.\n  a.\tLicensor hereby grants\
  \ the following rights to Licensee with respect to making use of the Data in conjunction with\
  \ Models.\n    i. Benchmark:  To access the Data, use the Data as training data to evaluate\
  \ the efficiency of different Untrained Models,  algorithms and structures,  but excludes\
  \ reuse of the Trained Model, except to show the results of the Training.  This includes the\
  \ right to use the dataset to measure performance of a Trained or Un-trained Model, without\
  \ however having the right to carry-over weights, code or architecture or implement any modifications\
  \ resulting from the Evaluation.\n    ii. Research: To access the Data, use the Data to create\
  \ or improve Models, but with-out the right to use the Output or resulting Trained Model for\
  \ any purpose other than evaluating the Model Research under the same terms.\n    iii. Publish:\
  \  To make available to Third Parties the Models resulting from Research, provided however\
  \ that third parties accessing such Trained Models have the right to use them for Research\
  \ or Publication only.\n    iv.\tInternal Use:  To access the Data, use the Data to create\
  \ or improve Models and resulting  Output,  but  without  the  right  to  Output  Commercialization\
  \  or  Model Commercialization.  The Output can be used internally for any purpose, but not\
  \ made available to Third Parties or for their benefit.\n  b.\tThe rights granted in (a) above\
  \ exclude the following rights with respect to making use of the Data in conjunction with\
  \ Models:\n    i. Output Commercialization: To access the Data, use the Data to create or\
  \ improve Models and resulting Output, with the right to make the Output available to Third\
  \ Parties or to use it for their benefit, without the right to Model Commercialization.\n\
  \    ii. Model Commercialization: Make a Trained Model itself available to a Third Party,\
  \ or embodying the Trained Model in a product or service, with or without direct access to\
  \ the Output for such Third Party.\n\n5.  Attribution and Notice Attribution and Notice. The\
  \ origin of the Data and notices included with the Data shall be made available to Third Parties\
  \ to whom the Data, Output and/Model have been made available. Any distribution of all or\
  \ part of the Data shall be done under the same terms as those of this License. Licensee shall\
  \ make commercially reasonable efforts to link to the source of the Data.  If so indicated\
  \ by the Licensor in writing alongside the Data that the use shall be deemed confidential,\
  \ then Licensee shall not publicly refer to Licensor and/or the source of the Data."