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Upload LICENSE.txt with huggingface_hub

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+ PanSegData originates from Northwestern University (Machine & Hybrid Intelligence
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+ Lab, Ulas Bagci) together with NYU, Mayo Clinic Florida, Allegheny Health Network
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+ and Mayo Clinic Arizona, and is distributed by the authors at https://osf.io/kysnj/.
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+
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+ LICENSE: CC BY-NC 4.0 (Attribution-NonCommercial)
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+ https://creativecommons.org/licenses/by-nc/4.0/
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+
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+ The license is stated in LICENSE.txt inside the OSF node itself, reproduced verbatim:
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+
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+ Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)
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+
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+ Dataset Name: PanSegData
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+ Contributors: Ulas Bagci, Zheyuan Zhang, Elif Keles, Halil Ertugrul Aktas
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+ Year: 2025
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+
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+ This dataset is licensed under the Creative Commons Attribution-NonCommercial 4.0
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+ International License.
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+ You are free to:
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+ - Share - copy and redistribute the material in any medium or format.
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+ - Adapt - remix, transform, and build upon the material.
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+
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+ Under the following terms:
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+ - Attribution - If you use this dataset, please cite it as: [see citation below]
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+ - NonCommercial - You may not use this dataset for commercial purposes.
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+
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+ License Link: https://creativecommons.org/licenses/by-nc/4.0/
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+
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+ Consequences, all of which apply to this mirror and to anything derived from it:
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+ * Share - redistribution is EXPLICITLY permitted by the license text, which
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+ is why this mirror exists.
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+ * NonCommercial - research use only, no commercial use. The OSF wiki adds:
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+ "Ulas.bagci@northwestern.edu should be contacted in case of
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+ commercial interests with the data."
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+ * Attribution - the citation below is mandatory.
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+
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+ There is no ShareAlike term, so derivatives are not forced to CC BY-NC 4.0, but this
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+ mirror is tagged CC BY-NC 4.0 to match the source.
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+
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+ TWO LICENSING TRAPS worth recording:
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+ 1. The OSF node's machine-readable `node_license` field is set to "Other", whose
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+ text is only "Please see the file named license.txt in the OSF Storage of this
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+ project". Any tool that reads the OSF API license field learns nothing.
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+ 2. The medsam-datasetlist.github.io curated list records this dataset as "GPL 3.0".
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+ That is NOT corroborated anywhere: the PanSegNet GitHub repo carries no license
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+ at all, and the authors' own LICENSE.txt says CC BY-NC 4.0. Most likely the OSF
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+ node carried a GPL-3.0 selection before the LICENSE.txt was added (modified
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+ 2025-07-29). Treat CC BY-NC 4.0 as authoritative; do NOT rely on the GPL claim
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+ to assert commercial rights.
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+
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+ Note also that the *article* is CC BY 4.0 (Elsevier VOR) while the *data* is
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+ CC BY-NC 4.0 -- they are not the same license.
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+
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+ Data citation (required):
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+ Zhang, Z., Keles, E., Durak, G., Taktak, Y., Susladkar, O., Gorade, V., Jha, D.,
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+ Ormeci, A. C., Medetalibeyoglu, A., Yao, L., Wang, B., Isler, I. S., Peng, L.,
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+ Pan, H., Vendrami, C. L., Bourhani, A., Velichko, Y., Gong, B., Spampinato, C.,
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+ Pyrros, A., ... Bagci, U. (2025). Large-scale multi-center CT and MRI segmentation
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+ of pancreas with deep learning. Medical Image Analysis, 99, 103382.
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+ https://doi.org/10.1016/j.media.2024.103382
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+
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+ This mirror redistributes the official release unmodified: the NIfTI files are
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+ byte-identical to the OSF archives (hard-linked, never rewritten or recompressed).
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+ Added files are metadata only (jsonl indices, a patient cross-reference CSV, this
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+ notice and the dataset card).