{
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 "owner": "gautiiii",
 "name": "ExeBench-Obfuscated",
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 "last_modified": "2026-09-24T12:39:31.000Z",
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 "citation": "@inproceedings{10.1145/3520312.3534867,\n  author = {Armengol-Estap\\'{e}, Jordi and Woodruff, Jackson and\n            Brauckmann, Alexander and Magalh\\~{a}es, Jos\\'{e} Wesley de Souza\n            and O'Boyle, Michael F. P.},\n  title = {ExeBench: An ML-Scale Dataset of Executable C Functions},\n  year = {2022},\n  isbn = {9781450392730},\n  publisher = {Association for Computing Machinery},\n  address = {New York, NY, USA},\n  url = {https://doi.org/10.1145/3520312.3534867},\n  doi = {10.1145/3520312.3534867},\n  booktitle = {Proceedings of the 6th ACM SIGPLAN International Symposium\n               on Machine Programming},\n  pages = {50--59},\n  numpages = {10},\n  keywords = {Code Dataset, Program Synthesis, Mining Software Repositories,\n              C, Machine Learning for Code, Compilers},\n  location = {San Diego, CA, USA},\n  series = {MAPS 2022}\n}",
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