ACL Data and Code Repository
The ACL Data and Code Repository is a repository of data (e.g., hand-labeled text, hand-parsed text, feature vectors for machine learning, etc.) and source code (e.g., taggers, parsers, chunkers, etc.) for computational linguistics and natural language processing. The goal of the repository is to make it easier for researchers to replicate each other's work and to compare different approaches using the same benchmarks.
If you are contributing source code, you should consider SourceForge or another code hosting service, instead of the ACL Data and Code Repository. These services have features, such as version control and bug tracking, that are not available here. The ACL Data and Code Repository is more suitable for static, archival, historical source code, rather than dynamic, evolving source code.
The ACL Data and Code Repository is experimental. There is a limit to the size of an upload. If you pass the limit or encounter other problems, let us know.