CLEF-IP: Cross-Language Evaluation Forum - Intellectual Property The CLEF-IP track ran from 2009 to 2013 and aimed to investigate IR techniques for patent retrieval.The track utilizes a collection of more than 1.3M patent documents (~2.6 million files) derived from EPO (European Patent Office) sources and EuroPCT Applications (more than 400K documents) published by WIPO (World Intelectual Property Organization). The collection contains documents in English, French and German with at least 150,000 documents in each language, all published before 2001. There were four tasks in 2011: The first one was to find patent documents that are candidates to constitute prior art for a given document. The second task was to classify a given document according to the International Patent Classification system (IPC). The third task was to retrieve patent document that are candidates for prior art, where, in addition to the first task, images contained in the patent documents must be proceesd as well. The fourth task was to classifiy patent images into 9 classes in use at patent office. Relevance judgements are produced using the patent citations and meta-data. Files

Document CollectionThe corpus consists of two parts. The first one is a set of XML files representing a total of over 1.3 million patent documents - this collection is to be used for the first task. The second part is a subset of the first one to which images containing patent drawings are added - this collection is to be used for the third task.  Topics and AnswersBoth the training and the test topic sets contain also the relevance assessments for the topics. GuidelinesDetailed explanation on how to work with the tasks from the corpus.