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    "info": {
        "author": "Konstantin Lopuhin",
        "author_email": "kostia.lopuhin@gmail.com",
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        "description": "Labeled Russian Context for WSD\n===============================\n\nContexts sampled from RuTenTen and RNC. Sense definitions from Active Dictionary.\nSome words have two annotators. Number of contexts is 100 for most words\nand 500 for 7 words.\n\nAnnotators (words):\n\n- \u0410\u043d\u0430\u0441\u0442\u0430\u0441\u0438\u044f \u041b\u043e\u043f\u0443\u0445\u0438\u043d\u0430 (47)\n- \u041a\u043e\u043d\u0441\u0442\u0430\u043d\u0442\u0438\u043d \u041b\u043e\u043f\u0443\u0445\u0438\u043d (11)\n- \u0410\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440\u0430 \u0423\u0434\u0430\u043b\u044c\u0446\u043e\u0432\u0430 (2)\n- \u0410\u043d\u0430\u0441\u0442\u0430\u0441\u0438\u044f \u041a. (2)\n- \u0410\u043d\u043d\u0430 \u041a\u043e\u0442 (2)\n- \u0410\u043d\u043d\u0430 \u0422\u0430\u0442\u0430\u0440\u0435\u043d\u043a\u043e (2)\n- \u0411\u043e\u0440\u0438\u0441 \u0418\u043e\u043c\u0434\u0438\u043d (2)\n- \u0418\u0432\u0430\u043d \u0421\u0430\u043c\u043e\u0439\u043b\u0435\u043d\u043a\u043e (1)\n\nContexts are stored in ``rl_wsd_labeled/``::\n\n    rl_wsd_labeled\n    \u251c\u2500\u2500 adjectives\n    \u2502\u00a0\u00a0 \u2514\u2500\u2500 RuTenTen\n    \u251c\u2500\u2500 nouns\n    \u2502\u00a0\u00a0 \u251c\u2500\u2500 RNC\n    \u2502\u00a0\u00a0 \u2514\u2500\u2500 RuTenTen\n    \u2514\u2500\u2500 verbs\n        \u2514\u2500\u2500 RuTenTen\n\nA python interface is provided. Intall the package first::\n\n    pip install rl_wsd_labeled\n\nand then in order to get labeled contexts::\n\n    >>> import rl_wsd_labeled\n    >>> f = rl_wsd_labeled.contexts_filename('nouns', 'RuTenTen', '\u0433\u043e\u0440\u0448\u043e\u043a')\n    >>> rl_wsd_labeled.get_contexts(f)\n\n    ({'1': '\u041e\u043a\u0440\u0443\u0433\u043b\u044b\u0439 \u0433\u043b\u0438\u043d\u044f\u043d\u044b\u0439 \u0441\u043e\u0441\u0443\u0434 \u0434\u043b\u044f \u043f\u0440\u0438\u0433\u043e\u0442\u043e\u0432\u043b\u0435\u043d\u0438\u044f \u043f\u0438\u0449\u0438 (\u043f\u0435\u0447\u043d\u043e\u0439 \u0433\u043e\u0440\u0448\u043e\u043a)',\n      '2': '\u0420\u0430\u0441\u0448\u0438\u0440\u044f\u044e\u0449\u0438\u0439\u0441\u044f \u043a\u0432\u0435\u0440\u0445\u0443 \u0441\u043e\u0441\u0443\u0434 \u0441 \u043e\u0442\u0432\u0435\u0440\u0441\u0442\u0438\u0435\u043c \u0432 \u0434\u043d\u0435 (\u0446\u0432\u0435\u0442\u043e\u0447\u043d\u044b\u0439 \u0433\u043e\u0440\u0448\u043e\u043a)',\n      '3': '\u041d\u043e\u0447\u043d\u043e\u0439 \u0433\u043e\u0440\u0448\u043e\u043a'},\n     [(('\u0442\u0435\u043b\u0435\u0432\u0438\u0437\u043e\u0440, - \u043a\u043e\u0432\u0435\u0440, , - \u043c\u0443\u0437\u044b\u043a\u0430\u043b\u044c\u043d\u044b\u0439 \u0446\u0435\u043d\u0442\u0440, - \u0441\u0442\u043e\u043b, - \u0430\u043a\u0432\u0430\u0440\u0438\u0443\u043c, - 3 \u0448\u043a\u0430\u0444\u0430, - \u0446\u0432\u0435\u0442\u044b \u0432',\n        ' \u0433\u043e\u0440\u0448\u043a\u0430\u0445',\n        ', - \u043c\u0435\u043b\u043a\u0438\u0435 \u0430\u043a\u0441\u0435\u0441\u0441\u0443\u0430\u0440\u044b.'),\n      '2'),\n      ...\n      (('\u0438\u0431\u043e \u043d\u0430\u0441\u0442\u0430\u043d\u0435\u0442 \u0441\u0440\u043e\u043a \u0438 \u043e\u043d\u043e \u0431\u0443\u0434\u0435\u0442 \u0440\u0430\u0437\u0440\u0443\u0448\u0435\u043d\u043e \u0442\u0435\u0447\u0435\u043d\u0438\u0435\u043c \u0432\u0440\u0435\u043c\u0435\u043d\u0438 \u043b\u0438\u0431\u043e \u0432\u043e\u0439\u043d\u043e\u044e, \u0431\u0443\u0434\u0442\u043e \u0441\u0442\u0430\u0440\u044b\u0439',\n        ' \u0433\u043e\u0440\u0448\u043e\u043a',\n        ' \u0441 \u0432\u0438\u043d\u043e\u043c \u0432 \u0442\u0440\u044e\u043c\u0435 \u0442\u043e\u0440\u0433\u043e\u0432\u043e\u0433\u043e \u043a\u043e\u0440\u0430\u0431\u043b\u044f, \u043f\u043e\u043f\u0430\u0432\u0448\u0435\u0433\u043e \u0432 \u0431\u0443\u0440\u044e \u0438 \u0440\u0430\u0437\u0431\u0438\u0432\u0448\u0435\u0433\u043e\u0441\u044f \u043e \u0441\u043a\u0430\u043b\u044b.'),\n      '1')\n     ])\n\nApart from senses, there are two special annotations: \"0\" means\n\"I don't know/the context is unclear/the contexts is invalid\", and \"max sense + 1\"\nmean \"other sense, not listed among given senses\". Contexts marked as \"0\" or \"other\"\nare not returned, unless ``with_skipped=True`` is passed.\nIf there was more then one annotator, contexts where annotators did not agree are also\nnot included. There is a function ``rl_wsd_labeled.get_agreement`` that returns the\nratio of senses where where both annotators gave either the\nsame concrete sense, or both skipped the senses (so \"0\" and \"other\" are considered equal).\n",
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