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The KILT benchmark consists of eleven datasets spanning five distinct tasks, and includes the test set for all datasets considered. 2 An important aim of KILT is to cover many different ways of seeking knowledge.
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KILT data catalogue ... * run python scripts/get_triviaqa_input.py to get the question associated with each id Additional data For Entity Linking, in addition to the AIDA CoNLL-YAGO train set, the whole knowledge source can be used as training data by exploiting hyperlinks.
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Additional data For Entity Linking, in addition to the AIDA CoNLL-YAGO train set, the whole knowledge source can be used as training data by exploiting hyperlinks. To facilitate experimentation, we release such data in KILT format following the splits of BLINK: blink-train- kilt .jsonl (9M lines) blink-dev- kilt .jsonl (10,000 lines)
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R-Precision for page-level retrieval on KILT test data. Bold indicates. The extra context helps the page feel more useful without forcing the same phrase repeatedly.
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