00_ReadMe_downsampling.txt

This file is part of "Background data (adapted from Jenset & McGillivray 2017) for: Down-sampling from hierarchically structured corpus data".

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File Citation
Sönning, Lukas, 2023, "00_ReadMe_downsampling.txt", Background data (adapted from Jenset & McGillivray 2017) for: Down-sampling from hierarchically structured corpus data, https://doi.org/10.18710/5KCE4U/GXUMC0, DataverseNO, V1
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Dataset Citation
Sönning, Lukas, 2023, "Background data (adapted from Jenset & McGillivray 2017) for: Down-sampling from hierarchically structured corpus data", https://doi.org/10.18710/5KCE4U, DataverseNO, V1
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Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

Custom Dataset Terms — the following Custom Dataset Terms have been defined for this dataset.

With the exception of the tabular file data_jenset_mcgillivray_downsampling.tsv, the dataset “Background data (adapted from Jenset & McGillivray 2017) for: Down-sampling from hierarchically structured corpus data” has been marked as dedicated to the public domain, as described here: https://creativecommons.org/publicdomain/zero/1.0/.

Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

The tabular file data_jenset_mcgillivray_downsampling.tsv constitutes an adaptation of a dataset published by Gard Jenset on GitHub in 2018 ("Jenset 2018"), available at https://github.com/gjenset/quanthistbook/tree/master/eme_v3sng_study. Material has been adapted from Jenset 2018, as documented in the ReadMe file included in the present dataset, under a MIT License. Contributions made by the author of the present dataset to the adaptation are licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, as described here: https://creativecommons.org/licenses/by/4.0/. Reusers of the adapted work must comply with both this CC license and the original MIT License:

Copyright (c) 2018 Gard Jenset

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Data included in Jenset 2018 were in turn derived from The Penn-Helsinki Parsed Corpus of Early Modern English (PPCEME), available here: https://www.ling.upenn.edu/ppche/ppche-release-2016/PPCEME-RELEASE-3. Note that the MIT License under which Jenset 2018 is made available cannot be considered to apply to text fragments extracted from PPCEME.

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Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

Custom Dataset Terms — the following Custom Dataset Terms have been defined for this dataset.

With the exception of the tabular file data_jenset_mcgillivray_downsampling.tsv, the dataset “Background data (adapted from Jenset & McGillivray 2017) for: Down-sampling from hierarchically structured corpus data” has been marked as dedicated to the public domain, as described here: https://creativecommons.org/publicdomain/zero/1.0/.

Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

The tabular file data_jenset_mcgillivray_downsampling.tsv constitutes an adaptation of a dataset published by Gard Jenset on GitHub in 2018 ("Jenset 2018"), available at https://github.com/gjenset/quanthistbook/tree/master/eme_v3sng_study. Material has been adapted from Jenset 2018, as documented in the ReadMe file included in the present dataset, under a MIT License. Contributions made by the author of the present dataset to the adaptation are licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, as described here: https://creativecommons.org/licenses/by/4.0/. Reusers of the adapted work must comply with both this CC license and the original MIT License:

Copyright (c) 2018 Gard Jenset

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Data included in Jenset 2018 were in turn derived from The Penn-Helsinki Parsed Corpus of Early Modern English (PPCEME), available here: https://www.ling.upenn.edu/ppche/ppche-release-2016/PPCEME-RELEASE-3. Note that the MIT License under which Jenset 2018 is made available cannot be considered to apply to text fragments extracted from PPCEME.

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