Updates README.md file and adds The Unlicense license.

LICENSE.md

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+This is free and unencumbered software released into the public domain.
+
+Anyone is free to copy, modify, publish, use, compile, sell, or
+distribute this software, either in source code form or as a compiled
+binary, for any purpose, commercial or non-commercial, and by any
+means.
+
+In jurisdictions that recognize copyright laws, the author or authors
+of this software dedicate any and all copyright interest in the
+software to the public domain. We make this dedication for the benefit
+of the public at large and to the detriment of our heirs and
+successors. We intend this dedication to be an overt act of
+relinquishment in perpetuity of all present and future rights to this
+software under copyright law.
+
+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 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.
+
+For more information, please refer to <https://unlicense.org>
+

README.md

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-# inep-anonymization
+# INEP [^inep] (syntactic) Anonymization
+
+Code and attributes hierarchies used for the anonymization process of INEP datasets using [ARX Deidentifier](https://github.com/arx-deidentifier/arx) tool.
+
+DOI: [10.5281/zenodo.6533684](https://doi.org/10.5281/zenodo.6533684).
+
+The resulting datasets were used for vulnerability assessment using the [BVM library](https://github.com/nunesgh/bvm-library) ([10.5281/zenodo.6533704](https://doi.org/10.5281/zenodo.6533704)). The assessment results were published in: Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Carroll Morgan, Gabriel H. Nunes - _Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata_ (2022, [10.48550/arXiv.2204.13734](https://doi.org/10.48550/arXiv.2204.13734)).
+
+We randomly selected only one record for each student with a same unique pseudonymization code (`ID_ALUNO`) in each dataset. The enrollment code (`ID_MATRICULA`) for each selected record is available in [10.5281/zenodo.6533675](https://doi.org/10.5281/zenodo.6533675) ([gitlab.com/nunesgh/inep-enrollment-codes](https://gitlab.com/nunesgh/inep-enrollment-codes)).
 
 ## ARX version
 
 The `jar` files in `arx/jars/` were compiled from the [ARX fork](https://github.com/ramongonze/arx) made by [@ramongonze](https://github.com/ramongonze), based on commit [8a936d3](https://github.com/ramongonze/arx/commit/8a936d3d5607b8f10957c16c1e2781d94b9f2904) and using the command `ant -buildfile build.xml`.
 
 This fork allows for the creation of matrices with up to (2^31-1)^2 cells, instead of the original limit of up to 2^31-1 cells. Due to some GUI errors caused by the new feature, it is necessary to run ARX via CLI. For more information, see [this issue](https://github.com/arx-deidentifier/arx/pull/299).
+
+## License
+
+[The Unlicense](https://choosealicense.com/licenses/unlicense/).
+
+[^inep]:
+    The [Anísio Teixeira National Institute of Educational Studies and Research](https://www.gov.br/INEP).
+