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.
The ACL Data and Code Repository is experimental. There is a limit of 50 MB to the size of an upload. If you encounter problems, let us know.