DIRE: A Neural Approach to Decompiled Identifier Naming
Creators
- 1. Carnegie Mellon University
- 2. Carnegie Mellon University Software Engineering Institute
- 3. Microsoft Research
Description
This dataset is released as a companion to the paper "DIRE: A Neural Approach to Decompiled Identifier Naming", appearing in the proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019).
It contains information generated by decompiling 3,195,962 functions found in 164,632 unique binaries generated from C code scraped from GitHub. For practicality, the dataset is partitioned into 16 archives by the first hexadecimal digit of the SHA-256 hash of the binary used to generate it. Each of the 16 archives contains approximately 10,000 JSONL files, named according to a binary's hash. Each JSONL file consists of a single JSON object per-line corresponding to a single function in the decompiled binary.
Archives are provided in both GZIP and BZIP2 format.
See the README file for more information.
Files
Files
(6.5 GB)
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md5:f6f50e591e0b87286adf4037db5c5326
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151.2 MB | Download |
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md5:b2b9e5b6d9804ee0dd5e512e2fb1b886
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250.8 MB | Download |
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md5:22725b6a13a581fd11939d9f0d9755d2
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151.8 MB | Download |
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md5:2b8ae5d693fad500f0fd0b59b50d8d81
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251.8 MB | Download |
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md5:90d57fe8d1e0e7c5c965e29cce752388
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157.0 MB | Download |
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md5:c80d48c918a1c7e8b60789691cda21cd
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259.7 MB | Download |
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md5:d86ae421c9628b5fc6bdfe0b60bc8997
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166.8 MB | Download |
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md5:03326d0d4300579efbd6e233be3b99bd
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276.9 MB | Download |
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md5:e1448edff59ad43e81ca572ed5b9321c
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163.9 MB | Download |
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md5:98cb8057b336d6cb8beea88de84fbac1
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271.0 MB | Download |
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md5:236626301caa357b21806acc319b02e6
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153.0 MB | Download |
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md5:9b4f94607335772b044c62d647aba6cf
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253.7 MB | Download |
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md5:504a7bae05a79a1e9b417cdb24644ea7
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264.2 MB | Download |
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md5:dbaed7f3096ed4a5ef90c5facf48be75
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150.7 MB | Download |
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md5:b7347771c5ffd40d33857e66114d68ff
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249.9 MB | Download |
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md5:bc480a2bee0bd3212937d512dd992c34
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156.2 MB | Download |
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md5:c7672cc3575db9760da635f58d6e441d
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259.0 MB | Download |
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md5:7e8c1d75838252154d76eec139e2e4d7
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157.7 MB | Download |
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md5:ff8f29e381078c77bd3164138302ad0a
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261.0 MB | Download |
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md5:8140925c954a99f925049633fb7a5a64
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154.2 MB | Download |
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md5:d3b65c7aea71a146f0631c52f7424f05
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255.3 MB | Download |
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md5:e6c3e05f761d996c2032a76169a018b6
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155.4 MB | Download |
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md5:9d74988a8e928a9122166deb4a21e90c
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257.6 MB | Download |
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md5:307a08acef47c35e5a489d5afab0ddcd
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163.5 MB | Download |
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md5:05dc395dbf51303e1ef38e71f5249ca9
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271.9 MB | Download |
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md5:f7ad3caabad2b0a2ec8e204ebde2e609
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162.5 MB | Download |
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md5:1c666f3b20ba0403d5d0ec261ebc03b7
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269.7 MB | Download |
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md5:89ab0e0fe48f283ec642e69ddddc8e35
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156.0 MB | Download |
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md5:7b57706ec9a2948cc2ae3b45353090aa
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257.9 MB | Download |
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md5:681666c06d9e43093fa4c50dbbfecb4a
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150.1 MB | Download |
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md5:ae0ecd96ef96cccc0e2340f757d8bdcf
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249.2 MB | Download |
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md5:ce1c12d7b5072c540e1ffea48bd78e0b
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935 Bytes | Download |