Published December 9, 2022
| Version 1.0.0
Other
Open
AlphaCode data materials
Creators
- Li, Yujia1
- Choi, David1
- Chung, Junyoung1
- Kushman, Nate1
- Schrittwieser, Julian1
- Leblond, Rémi1
- Eccles, Tom1
- Keeling, James1
- Gimeno Gil, Felix Axel1
- Dal Lago, Agustin1
- Hubert, Thomas1
- Choy, Peter1
- de Masson d'Autume, Cyprien1
- Babuschkin, Igor1
- Chen, Xinyun1
- Huang, Po-Sen1
- Welbl, Johannes1
- Gowal, Sven1
- Cherepanov, Alexey1
- Molloy, James1
- Mankowitz, Daniel1
- Sutherland Robson, Esme1
- Kohli, Pushmeet1
- de Freitas, Nando1
- Kavukcuoglu, Koray1
- Vinyals, Oriol1
- 1. DeepMind
Description
A snapshot of data from the publication: Competition-Level Code Generation with AlphaCode. This snapshot contains:
- (HumanEval.zip) Human manual marking of the HumanEval dataset, showing true positives and false positives.
- (APPS.zip) Human manual marking of the APPS dataset, showing true positives, false positives, and semantically correct but algorithmically slow solutions.
- (alphacode_viz.zip) The code for the https://alphacode.deepmind.com/ website, showing visualizations of the AlphaCode model, selected samples, and explanations. Note that it is easier to view this through the https://alphacode.deepmind.com/ website.
- (dm-code_contests) The CodeContests dataset (which can be also downloaded following the instructions on https://github.com/deepmind/code_contests)
- (code_contests-main.zip) The CodeContests repository, which includes example code for using the above dataset. Can also be found on GitHub at https://github.com/deepmind/code_contests
Files
AlphaCode data.zip
Files
(3.9 GB)
Name | Size | Download all |
---|---|---|
md5:833ff6ba1d72cde72d13a64bafbb0079
|
3.9 GB | Preview Download |