- Latest 32 bit release: BigARTM_v0.8.1_vs12_win32_RelWithDebInfo
- Latest 64 bit release: BigARTM_v0.8.1_vs12_win64_RelWithDebInfo
- All previous releases are available at https://github.com/bigartm/bigartm/releases
Please refer to Basic BigARTM tutorial for Windows users for step by step installation procedure.
Linux, Mac OS-X
To run BigARTM on Linux and Mac OS-X you need to clone BigARTM repository (https://github.com/bigartm/bigartm) and build it as described in Basic BigARTM tutorial for Linux and Mac OS-X users.
Download one of the following datasets to start experimenting with BigARTM. See Formats page for the description of input data formats.
Task Source #Words #Items Files kos UCI 6906 3430 nips UCI 12419 1500 enron UCI 28102 39861 nytimes UCI 102660 300000 pubmed UCI 141043 8200000 wiki Gensim 100000 3665223 wiki_enru Wiki 196749 216175
- wiki_enru (282 MB)
lastfm lastfm 1k, 360k mmro mmro 7805 1061 eurlex eurlex 19800 21000