{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":17120,"offset":17110,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"B\u1ea1n kh\u00f4ng \u1edf trong m\u1ed9t gi\u1ea5c m\u01a1. B\u1ea1n ch\u1ec9 \u0111ang ch\u01a1i m\u1ed9t tr\u00f2 ch\u01a1i vui v\u00e0 th\u00fa v\u1ecb mang t\u00ean Farm Dream. Th\u1ecfa s\u1ee9c vui ch\u01a1i trong h\u00e0ng gi\u1edd v\u00e0 r\u1ea5t g\u00e2y nghi\u1ec7n. H\u00e3y th\u01b0\u1edfng th\u1ee9c. Ch\u1ea1m v\u00e0 k\u00e9o nh\u1eefng v\u1eadt ph\u1ea9m, gh\u00e9p 3 ho\u1eb7c nhi\u1ec1u h\u01a1n \u0111\u1ec3 l\u00e0m n\u1ed5 ch\u00fang. B\u1ea1n c\u00e0ng nhanh \u0111\u1ea1t \u0111\u01b0\u1ee3c m\u1ee5c ti","behavior":"degenerate_repetition","conversation_hash":"74590f122708ee687c3f950eb0b946c6","conversation_redacted":false,"conversation_toxic":false,"country":"Vietnam","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Vietnamese","model":"gpt-3.5-turbo-0613","n_chars":593,"n_turns_in_conversation":10,"n_words":122,"source_row_offset":17110,"source_shard":"turns-00008.parquet","timestamp":"Tue, 01 Aug 2023 12:06:47 GMT","turn_id":"8f658872209a753cff52ae9c","turn_index":9,"user_text":"d\u1ecbch sang ti\u1ebfng vi\u1ec7t\nYou are not in a dream. You are just playing a fun and cool game called Farm Dream. Hours of fun and very addictive. Enjoy. Tap and drag items and match 3 or more items to blast them. The faster you reach the goal, the more points you receive. Use the special rewards that appear to blast items away faster.\n"},{"assistant_initiates":false,"asst_text":"\u81ea\u4e2d\u56fd\u5171\u4ea7\u515a\u5341\u516b\u5c4a\u4e09\u4e2d\u5168\u4f1a\u4ee5\u540e\uff0c\u4e2d\u56fd\u5171\u4ea7\u515a\u9646\u7eed\u5f00\u5c55\u4e86\u4e00\u7cfb\u5217\u7684\u4e3b\u9898\u6559\u80b2\u6d3b\u52a8\uff0c\u4e3b\u8981\u5305\u62ec\u4ee5\u4e0b\u51e0\u6b21\uff1a\n\n1. \"\u4e24\u5b66\u4e00\u505a\"\u5b66\u4e60\u6559\u80b2\uff1a\u4ece2016\u5e745\u6708\u52302017\u5e7410\u6708\uff0c\u5168\u515a\u8303\u56f4\u5185\u5f00\u5c55\u4e86\u4e00\u6b21\u4e3a\u671f\u7ea6\u4e00\u5e74\u534a\u7684\"\u4e24\u5b66\u4e00\u505a\"\u5b66\u4e60\u6559\u80b2\u3002\u5b66\u4e60\u5185\u5bb9\u4e3b\u8981\u5305\u62ec\u4e60\u8fd1\u5e73\u603b\u4e66\u8bb0\u7cfb\u5217\u91cd\u8981\u8bb2\u8bdd\u7cbe\u795e\u548c\u4e2d\u56fd\u5171\u4ea7\u515a\u515a\u7ae0\u515a\u89c4\u7b49\uff0c\u7740\u773c\u4e8e\u515a\u5458\u5e72\u90e8\u4fee\u8eab\u7acb\u5fb7\uff0c\u63d0\u9ad8\u515a\u6027\u4fee\u517b\u3002\n\n2. 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\"\u4e2d\u56fd\u68a6\u2022\u7f8e\u4e3d\u4e2d\u56fd\"\u4e3b\u9898\u6559\u80b2\uff1a\u4ece2020\u5e7411\u6708\u5f00\u59cb\uff0c\u5168\u515a\u8303\u56f4\u5185\u5f00\u5c55\u4e3a\u671f\u4e09\u4e2a\u6708\u7684\"\u4e2d\u56fd\u68a6\u2022\u7f8e\u4e3d\u4e2d\u56fd\"\u4e3b\u9898\u6559\u80b2\u3002\u6b64\u6b21\u6559\u80b2\u6d3b\u52a8\u4e3b\u8981\u56f4\u7ed5\u515a\u4e2d\u592e\u63d0\u51fa\u7684\u5efa\u8bbe\u7f8e\u4e3d\u4e2d\u56fd\u3001\u63a8\u52a8\u7eff\u8272\u53d1\u5c55\u7684\u91cd\u5927\u51b3\u7b56\u90e8\u7f72\uff0c\u91cd\u70b9\u8fdb\u884c\u601d\u60f3\u6559\u80b2\u548c\u5b9e\u8df5\u6d3b\u52a8\u3002\n\n\u4ee5\u4e0a\u662f\u4e2d\u56fd\u5171\u4ea7\u515a\u81ea\u5341\u516b\u5927\u4ee5\u6765\u5f00\u5c55\u7684\u4e3b\u9898\u6559\u80b2\u7684\u51e0\u6b21\u91cd\u8981\u6d3b\u52a8\u53ca\u5176\u65f6\u95f4\u3001\u5185\u5bb9\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u8fd9\u91cc\u53ea\u5217\u4e3e\u4e86\u90e8\u5206\u4e3b\u9898\u6559\u80b2\u6d3b\u52a8\uff0c\u5177\u4f53\u60c5\u51b5\u53ef\u80fd\u8fd8\u6709\u5176\u4ed6\u7684\u6559\u80b2\u6d3b\u52a8\u3002","behavior":"degenerate_repetition","conversation_hash":"0bfc1cb075432d8c1594b41b2147c936","conversation_redacted":false,"conversation_toxic":false,"country":"Japan","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Chinese","model":"gpt-3.5-turbo-0613","n_chars":507,"n_turns_in_conversation":2,"n_words":9,"source_row_offset":17111,"source_shard":"turns-00008.parquet","timestamp":"Tue, 01 Aug 2023 12:08:07 GMT","turn_id":"7ffbe89a046b905180ccc60a","turn_index":0,"user_text":"\u4e2d\u56fd\u5171\u4ea7\u515a\u7684\u5341\u516b\u5927\u4ee5\u6765\uff0c\u5f00\u5c55\u7684\u4e3b\u9898\u6559\u80b2\u90fd\u6709\u54ea\u51e0\u6b21\uff0c\u5206\u522b\u662f\u4ec0\u4e48\u65f6\u95f4\u3001\u5185\u5bb9\u3002"},{"assistant_initiates":false,"asst_text":"\u81ea2010\u5e74\u4ee5\u6765\uff0c\u4e2d\u56fd\u5171\u4ea7\u515a\u5f00\u5c55\u4e86\u4ee5\u4e0b\u51e0\u6b21\u4e3b\u9898\u6559\u80b2\u6d3b\u52a8\uff0c\u5305\u62ec\uff1a\n\n1. \"\u4e09\u4e25\u4e09\u5b9e\"\u4e13\u9898\u6559\u80b2\uff1a\u4ece2014\u5e749\u6708\u5f00\u59cb\uff0c\u5168\u515a\u8303\u56f4\u5185\u5f00\u5c55\u4e86\u4e3a\u671f\u4e00\u5e74\u7684\"\u4e09\u4e25\u4e09\u5b9e\"\u4e13\u9898\u6559\u80b2\u3002\u6b64\u6b21\u6559\u80b2\u6d3b\u52a8\u65e8\u5728\u6df1\u5316\u515a\u5458\u5e72\u90e8\u7684\u515a\u6027\u4fee\u517b\uff0c\u5f3a\u8c03\u515a\u5458\u5e72\u90e8\u8981\u59cb\u7ec8\u4fdd\u6301\u515a\u7684\u7eaf\u6d01\u6027\u548c\u5148\u8fdb\u6027\uff0c\u786e\u4fdd\u5728\u6743\u529b\u9762\u524d\u59cb\u7ec8\u81ea\u89c9\u5b88\u7eaa\u5f8b\u3001\u4e25\u4ee5\u5f8b\u5df1\u3002\n\n2. \"\u4e24\u5b66\u4e00\u505a\"\u5b66\u4e60\u6559\u80b2\uff1a\u4ece2016\u5e745\u6708\u5f00\u59cb\uff0c\u5168\u515a\u8303\u56f4\u5185\u5f00\u5c55\u4e86\u4e00\u6b21\u4e3a\u671f\u7ea6\u4e00\u5e74\u534a\u7684\"\u4e24\u5b66\u4e00\u505a\"\u5b66\u4e60\u6559\u80b2\u3002\u5b66\u4e60\u5185\u5bb9\u4e3b\u8981\u5305\u62ec\u4e60\u8fd1\u5e73\u603b\u4e66\u8bb0\u7cfb\u5217\u91cd\u8981\u8bb2\u8bdd\u7cbe\u795e\u548c\u4e2d\u56fd\u5171\u4ea7\u515a\u515a\u7ae0\u515a\u89c4\u7b49\uff0c\u7740\u773c\u4e8e\u515a\u5458\u5e72\u90e8\u4fee\u8eab\u7acb\u5fb7\uff0c\u63d0\u9ad8\u515a\u6027\u4fee\u517b\u3002\n\n3. \"\u4e0d\u5fd8\u521d\u5fc3\u3001\u7262\u8bb0\u4f7f\u547d\"\u4e3b\u9898\u6559\u80b2\uff1a\u81ea2019\u5e745\u6708\u5f00\u59cb\uff0c\u5168\u515a\u8303\u56f4\u5185\u5f00\u5c55\u4ee5\"\u4e0d\u5fd8\u521d\u5fc3\u3001\u7262\u8bb0\u4f7f\u547d\"\u4e3a\u4e3b\u9898\u7684\u6559\u80b2\u6d3b\u52a8\u3002\u6b64\u6b21\u6559\u80b2\u6d3b\u52a8\u56f4\u7ed5\u4e60\u8fd1\u5e73\u603b\u4e66\u8bb0\u5173\u4e8e\u521d\u5fc3\u4f7f\u547d\u7684\u91cd\u8981\u8bba\u8ff0\uff0c\u7ed3\u5408\u515a\u7684\u5386\u53f2\u3001\u515a\u7684\u4f5c\u98ce\u7b49\u65b9\u9762\u5185\u5bb9\uff0c\u65e8\u5728\u589e\u5f3a\u515a\u5458\u5e72\u90e8\u7684\u653f\u6cbb\u654f\u9510\u6027\u548c\u8d23\u4efb\u611f\u3002\n\n4. \"\u4e2d\u56fd\u68a6\u2022\u7f8e\u4e3d\u4e2d\u56fd\"\u4e3b\u9898\u6559\u80b2\uff1a\u4ece2020\u5e7411\u6708\u5f00\u59cb\uff0c\u5168\u515a\u8303\u56f4\u5185\u5f00\u5c55\u4e3a\u671f\u4e09\u4e2a\u6708\u7684\"\u4e2d\u56fd\u68a6\u2022\u7f8e\u4e3d\u4e2d\u56fd\"\u4e3b\u9898\u6559\u80b2\u3002\u6b64\u6b21\u6559\u80b2\u6d3b\u52a8\u4e3b\u8981\u56f4\u7ed5\u515a\u4e2d\u592e\u63d0\u51fa\u7684\u5efa\u8bbe\u7f8e\u4e3d\u4e2d\u56fd\u3001\u63a8\u52a8\u7eff\u8272\u53d1\u5c55\u7684\u91cd\u5927\u51b3\u7b56\u90e8\u7f72\uff0c\u91cd\u70b9\u8fdb\u884c\u601d\u60f3\u6559\u80b2\u548c\u5b9e\u8df5\u6d3b\u52a8\u3002\n\n\u4ee5\u4e0a\u662f\u81ea2010\u5e74\u4ee5\u6765\u4e2d\u56fd\u5171\u4ea7\u515a\u5f00\u5c55\u7684\u51e0\u6b21\u4e3b\u9898\u6559\u80b2\u6d3b\u52a8\u7684\u65f6\u95f4\u548c\u5185\u5bb9\u3002\u8fd9\u4e9b\u4e3b\u9898\u6559\u80b2\u6d3b\u52a8\u7684\u76ee\u7684\u662f\u8fdb\u4e00\u6b65\u52a0\u5f3a\u515a\u5458\u5e72\u90e8\u7684\u515a\u6027\u4fee\u517b\u3001\u601d\u60f3\u6559\u80b2\u548c\u5b9e\u8df5\u80fd\u529b\uff0c\u63a8\u52a8\u4e2d\u56fd\u5171\u4ea7\u515a\u7684\u5efa\u8bbe\u548c\u53d1\u5c55\u3002","behavior":"degenerate_repetition","conversation_hash":"0bfc1cb075432d8c1594b41b2147c936","conversation_redacted":false,"conversation_toxic":false,"country":"Japan","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Chinese","model":"gpt-3.5-turbo-0613","n_chars":609,"n_turns_in_conversation":2,"n_words":11,"source_row_offset":17112,"source_shard":"turns-00008.parquet","timestamp":"Tue, 01 Aug 2023 12:08:07 GMT","turn_id":"afaa5daf65d86ab7a06b5012","turn_index":1,"user_text":"2010\u5e74\u4ee5\u6765\uff0c\u4e2d\u56fd\u5171\u4ea7\u515a\u5f00\u5c55\u7684\u4e3b\u9898\u6559\u80b2\u90fd\u6709\u54ea\u51e0\u6b21\uff0c\u5206\u522b\u662f\u4ec0\u4e48\u65f6\u95f4\u3001\u5185\u5bb9\u3002"},{"assistant_initiates":false,"asst_text":"1936:\n- \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u044f \u043f\u0440\u043e\u0434\u043e\u043b\u0436\u0430\u0435\u0442 \u044d\u043a\u0441\u043f\u0430\u043d\u0441\u0438\u044e \u0438 \u0430\u043d\u043d\u0435\u043a\u0441\u0438\u0440\u0443\u0435\u0442 \u0410\u0432\u0441\u0442\u0440\u0438\u044e (\u0410\u043d\u0448\u043b\u044e\u0441).\n- \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u044f \u0438 \u0418\u0442\u0430\u043b\u0438\u044f \u043f\u043e\u0434\u043f\u0438\u0441\u044b\u0432\u0430\u044e\u0442 \u043f\u0430\u043a\u0442 \u043e \u0432\u043e\u0435\u043d\u043d\u043e\u0439 \u043f\u043e\u043c\u043e\u0449\u0438 (\u043e\u0441\u043d\u043e\u0432\u044b \u041e\u0441\u0438).\n- \u0413\u0438\u0442\u043b\u0435\u0440 \u043f\u0440\u043e\u0432\u043e\u0434\u0438\u0442 \u043d\u0435\u043c\u0435\u0446\u043a\u0443\u044e \u043e\u043b\u0438\u043c\u043f\u0438\u0430\u0434\u0443 \u0432 \u0411\u0435\u0440\u043b\u0438\u043d\u0435, \u0434\u0435\u043c\u043e\u043d\u0441\u0442\u0440\u0438\u0440\u0443\u044f \u0441\u0438\u043b\u0443 \u0438 \u043c\u043e\u0449\u044c \u0441\u0442\u0440\u0430\u043d\u044b.\n- \u0412 \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u0438 \u043d\u0430\u0447\u0438\u043d\u0430\u044e\u0442\u0441\u044f \u043f\u043e\u043b\u0438\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0440\u0435\u043f\u0440\u0435\u0441\u0441\u0438\u0438 \u0438 \u043f\u0440\u0435\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u044f \u043e\u043f\u043f\u043e\u0437\u0438\u0446\u0438\u0438.\n- \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u044f \u0437\u0430\u043d\u0438\u043c\u0430\u0435\u0442 \u0420\u0435\u0439\u043d\u0441\u043a\u0443\u044e \u043e\u0431\u043b\u0430\u0441\u0442\u044c, \u043d\u0430\u0440\u0443\u0448\u0430\u044f \u0443\u0441\u043b\u043e\u0432\u0438\u044f \u0412\u0435\u0440\u0441\u0430\u043b\u044c\u0441\u043a\u043e\u0433\u043e \u0434\u043e\u0433\u043e\u0432\u043e\u0440\u0430.\n- \u0421\u043e\u0437\u0434\u0430\u043d\u0438\u0435 \u0428\u043f\u0438\u043e\u043d\u0441\u043a\u043e\u0433\u043e \u0411\u044e\u0440\u043e \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u0438 (Abwehr).\n\n1937:\n- \u041f\u0440\u043e\u0434\u043e\u043b\u0436\u0430\u0435\u0442\u0441\u044f \u044d\u043a\u0441\u043f\u0430\u043d\u0441\u0438\u044f \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u0438, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u0430\u043d\u043d\u0435\u043a\u0441\u0438\u0440\u0443\u0435\u0442 \u0427\u0435\u0445\u043e\u0441\u043b\u043e\u0432\u0430\u043a\u0438\u044e.\n- \u0412 \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u0438 \u043d\u0430\u0447\u0438\u043d\u0430\u0435\u0442\u0441\u044f \u0441\u0442\u0440\u043e\u0438\u0442\u0435\u043b\u044c\u0441\u0442\u0432\u043e \u043b\u0430\u0433\u0435\u0440\u0435\u0439 \u043a\u043e\u043d\u0446\u0435\u043d\u0442\u0440\u0430\u0446\u0438\u0438.\n- \u0420\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u0438\u0435 \u0432\u043e\u0435\u043d\u043d\u044b\u0445 \u043c\u043e\u0449\u043d\u043e\u0441\u0442\u0435\u0439 \u0438 \u043c\u043e\u0434\u0435\u0440\u043d\u0438\u0437\u0430\u0446\u0438\u044f \u0412\u0435\u0440\u043c\u0430\u0445\u0442\u0430.\n- \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u044f \u0438 \u042f\u043f\u043e\u043d\u0438\u044f \u043f\u043e\u0434\u043f\u0438\u0441\u044b\u0432\u0430\u044e\u0442 \u0410\u043d\u0442\u0438\u043a\u043e\u043c\u0438\u043d\u0442\u0435\u0440\u043d\u043e\u0432\u0441\u043a\u0438\u0439 \u043f\u0430\u043a\u0442.\n- \u041d\u0430\u0447\u0438\u043d\u0430\u0435\u0442\u0441\u044f \u0441\u0442\u0430\u043b\u0438\u043d\u0441\u043a\u0430\u044f \u0440\u0435\u043f\u0440\u0435\u0441\u0441\u0438\u044f \u0432 \u0421\u0421\u0421\u0420, \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0435\u043c\u0430\u044f \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u0435\u0439.\n- \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u044f \u0438 \u0418\u0441\u043f\u0430\u043d\u0438\u044f \u043f\u043e\u0434\u043f\u0438\u0441\u044b\u0432\u0430\u044e\u0442 \u043f\u0430\u043a\u0442 \u043e \u043d\u0435\u043d\u0430\u043f\u0430\u0434\u0435\u043d\u0438\u0438 \u0438 \u043e\u043a\u0430\u0437\u044b\u0432\u0430\u044e\u0442 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0443 \u0444\u0440\u0430\u043d\u043a\u0438\u0441\u0442\u0441\u043a\u043e\u043c\u0443 \u0440\u0435\u0436\u0438\u043c\u0443 \u0432 \u0418\u0441\u043f\u0430\u043d\u0438\u0438.\n- \u041f\u0440\u043e\u0442\u0438\u0432\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435 \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u0438 \u0438 \u041b\u0438\u0433\u0438 \u041d\u0430\u0446\u0438\u0439 \u0432 \u043e\u0442\u043d\u043e\u0448\u0435\u043d\u0438\u0438 \u0433\u0443\u043c\u0430\u043d\u0438\u0442\u0430\u0440\u043d\u043e\u0439 \u043f\u043e\u043c\u043e\u0449\u0438 \u0434\u043b\u044f \u0433\u0440\u0430\u0436\u0434\u0430\u043d \u0418\u0441\u043f\u0430\u043d\u0438\u0438.\n\n(\u041f\u0440\u0438\u043c\u0435\u0447\u0430\u043d\u0438\u0435: \u0434\u0430\u043d\u043d\u044b\u0439 \u0441\u0446\u0435\u043d\u0430\u0440\u0438\u0439 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0432\u044b\u043c\u044b\u0448\u043b\u0435\u043d\u043d\u044b\u043c \u0438 \u043d\u0435 \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u0435\u0442 \u0440\u0435\u0430\u043b\u044c\u043d\u044b\u043c \u0438\u0441\u0442\u043e\u0440\u0438\u0447\u0435\u0441\u043a\u0438\u043c \u0441\u043e\u0431\u044b\u0442\u0438\u044f\u043c).","behavior":"degenerate_repetition","conversation_hash":"b55cf9ab30c746a59d68497394dc5e35","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-3.5-turbo-0613","n_chars":1265,"n_turns_in_conversation":1,"n_words":168,"source_row_offset":17113,"source_shard":"turns-00008.parquet","timestamp":"Tue, 01 Aug 2023 12:08:54 GMT","turn_id":"d23445dfdc20a9e3517b2eef","turn_index":0,"user_text":"\u0432\u044b\u0434\u0443\u043c\u0430\u043d\u043d\u044b\u0439 \u0441\u0446\u0435\u043d\u0430\u0440\u0438\u0439: \u0447\u0442\u043e \u0435\u0441\u043b\u0438 \u0431\u044b \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u044f \u043f\u043e\u0431\u0435\u0434\u0438\u043b\u0430 \u0432\u043e \u0432\u0442\u043e\u0440\u043e\u0439 \u043c\u0438\u0440\u043e\u0432\u043e\u0439 \u0432\u043e\u0439\u043d\u0435. \u041e\u043f\u0438\u0448\u0438 \u0441\u043e\u0431\u044b\u0442\u0438\u044f \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0431\u044b \u043f\u0440\u043e\u0438\u0437\u043e\u0448\u043b\u0438 \u0432 1936 - 1937. \u041f\u0438\u0448\u0438 \u043a\u0430\u043a \u043d\u0430\u0441\u0442\u043e\u044f\u0449\u0438\u0435 \u0441\u043e\u0431\u044b\u0442\u0438\u044f \u0442\u0430\u043a \u0438 \u0442\u0435 \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043f\u043e\u044f\u0432\u0438\u043b\u0438\u0441\u044c \u0432 \u044d\u0442\u043e\u043c \u0441\u0446\u0435\u043d\u0430\u0440\u0438\u0438. \u041e\u043f\u0438\u0448\u0438 \u0441\u043e\u0431\u044b\u0442\u0438\u044f \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c\u0438 \u0441\u043b\u043e\u0432\u0430\u043c\u0438"},{"assistant_initiates":false,"asst_text":"1936:\n- 30 \u044f\u043d\u0432\u0430\u0440\u044f: \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u044f \u043e\u0444\u0438\u0446\u0438\u0430\u043b\u044c\u043d\u043e \u043e\u0431\u044a\u044f\u0432\u043b\u044f\u0435\u0442 \u043e \u0441\u0432\u043e\u0435\u0439 \u043f\u043e\u0431\u0435\u0434\u0435 \u0432\u043e \u0412\u0442\u043e\u0440\u043e\u0439 \u043c\u0438\u0440\u043e\u0432\u043e\u0439 \u0432\u043e\u0439\u043d\u0435.\n- 2 \u043c\u0430\u0440\u0442\u0430: \u0410\u0434\u043e\u043b\u044c\u0444 \u0413\u0438\u0442\u043b\u0435\u0440 \u043f\u0440\u043e\u0432\u043e\u0437\u0433\u043b\u0430\u0448\u0430\u0435\u0442\u0441\u044f \u0438\u0441\u043a\u043b\u044e\u0447\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u043c \u043f\u0440\u0430\u0432\u0438\u0442\u0435\u043b\u0435\u043c \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u0438.\n- 7 \u0438\u044e\u043d\u044f: \u0412\u0441\u0442\u0443\u043f\u043b\u0435\u043d\u0438\u0435 \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u0438 \u0432 \u041e\u0440\u0433\u0430\u043d\u0438\u0437\u0430\u0446\u0438\u044e \u041e\u0431\u044a\u0435\u0434\u0438\u043d\u0435\u043d\u043d\u044b\u0445 \u041d\u0430\u0446\u0438\u0439.\n- 1 \u0441\u0435\u043d\u0442\u044f\u0431\u0440\u044f: \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u044f \u0430\u043d\u043d\u0435\u043a\u0441\u0438\u0440\u0443\u0435\u0442 \u0410\u0432\u0441\u0442\u0440\u0438\u044e, \u043e\u0431\u044a\u044f\u0432\u043b\u044f\u044f \u0435\u0435 \u0441\u0432\u043e\u0438\u043c\u0438 \u0441\u043e\u044e\u0437\u043d\u0438\u043a\u0430\u043c\u0438.\n- 28 \u043d\u043e\u044f\u0431\u0440\u044f: \u0410\u043b\u044c\u0444\u0440\u0435\u0434 \u0420\u043e\u0437\u0435\u043d\u0431\u0435\u0440\u0433, \u0433\u043b\u0430\u0432\u043d\u044b\u0439 \u0438\u0434\u0435\u043e\u043b\u043e\u0433 \u043d\u0430\u0446\u0438\u0441\u0442\u0441\u043a\u043e\u0439 \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u0438, \u043d\u0430\u0437\u043d\u0430\u0447\u0430\u0435\u0442\u0441\u044f \u043c\u0438\u043d\u0438\u0441\u0442\u0440\u043e\u043c \u043f\u0440\u043e\u043f\u0430\u0433\u0430\u043d\u0434\u044b.\n\n1937:\n- 10 \u044f\u043d\u0432\u0430\u0440\u044f: \u041d\u0430\u0447\u0430\u043b\u043e \u0441\u0442\u0440\u043e\u0438\u0442\u0435\u043b\u044c\u0441\u0442\u0432\u0430 \"\u041c\u0430\u0433\u0438\u043d\u043e\u0442-\u043b\u0438\u043d\u0438\u0438\" - \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u0443\u043a\u0440\u0435\u043f\u043b\u0435\u043d\u0438\u0439 \u043d\u0430 \u0433\u0440\u0430\u043d\u0438\u0446\u0435 \u0424\u0440\u0430\u043d\u0446\u0438\u0438 \u0438 \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u0438.\n- 25 \u0444\u0435\u0432\u0440\u0430\u043b\u044f: \u041f\u043e\u0434\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u0441\u043e\u0433\u043b\u0430\u0448\u0435\u043d\u0438\u044f \u043e \u043d\u0435\u0430\u0433\u0440\u0435\u0441\u0441\u0438\u0438 \u043c\u0435\u0436\u0434\u0443 \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u0435\u0439 \u0438 \u0421\u0421\u0421\u0420.\n- 7 \u0438\u044e\u043d\u044f: \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u044f \u0438 \u042f\u043f\u043e\u043d\u0438\u044f \u0441\u043e\u0437\u0434\u0430\u044e\u0442 \u0441\u043e\u044e\u0437, \u043d\u0430\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u043d\u044b\u0439 \u043f\u0440\u043e\u0442\u0438\u0432 \u0421\u0421\u0421\u0420 \u0438 \u0421\u0428\u0410.\n- 15 \u0441\u0435\u043d\u0442\u044f\u0431\u0440\u044f: \u0412 \u0433\u043e\u0440\u043e\u0434\u0435 \u041d\u044e\u0440\u043d\u0431\u0435\u0440\u0433\u0435 \u043d\u0430\u0447\u0438\u043d\u0430\u0435\u0442\u0441\u044f \u043f\u0435\u0440\u0432\u044b\u0439 \u041d\u044e\u0440\u043d\u0431\u0435\u0440\u0433\u0441\u043a\u0438\u0439 \u043f\u0440\u043e\u0446\u0435\u0441\u0441, \u0437\u0430\u0441\u043b\u0443\u0436\u0438\u0432\u0448\u0438\u0439 \u043c\u0438\u0440\u043e\u0432\u043e\u0435 \u043f\u0440\u0438\u0437\u043d\u0430\u043d\u0438\u0435.\n- 5 \u0434\u0435\u043a\u0430\u0431\u0440\u044f: \u0412\u0441\u0442\u0443\u043f\u043b\u0435\u043d\u0438\u0435 \u0428\u0432\u0435\u0439\u0446\u0430\u0440\u0438\u0438 \u0432 \u0413\u0435\u0440\u043c\u0430\u043d\u0441\u043a\u043e-\u0438\u0442\u0430\u043b\u044c\u044f\u043d\u0441\u043a\u0438\u0439 \u043f\u0430\u043a\u0442 \u043e \u043d\u0435\u043d\u0430\u043f\u0430\u0434\u0435\u043d\u0438\u0438.\n\n\u041f\u043e\u043c\u043d\u0438\u0442\u0435, \u0447\u0442\u043e \u044d\u0442\u043e \u0432\u044b\u0434\u0443\u043c\u0430\u043d\u043d\u044b\u0439 \u0441\u0446\u0435\u043d\u0430\u0440\u0438\u0439, \u0438 \u043d\u0438 \u043e\u0434\u043d\u043e \u0438\u0437 \u044d\u0442\u0438\u0445 \u0441\u043e\u0431\u044b\u0442\u0438\u0439 \u043d\u0435 \u043f\u0440\u043e\u0438\u0437\u043e\u0448\u043b\u043e \u0432 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u0439 \u0438\u0441\u0442\u043e\u0440\u0438\u0438.","behavior":"degenerate_repetition","conversation_hash":"6b982d13ba2e8544a202a8cb5eeedc2b","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-3.5-turbo-0613","n_chars":1203,"n_turns_in_conversation":1,"n_words":172,"source_row_offset":17114,"source_shard":"turns-00008.parquet","timestamp":"Tue, 01 Aug 2023 12:09:28 GMT","turn_id":"2cd3528de2efecbb79c5d53e","turn_index":0,"user_text":"\u0432\u044b\u0434\u0443\u043c\u0430\u043d\u043d\u044b\u0439 \u0441\u0446\u0435\u043d\u0430\u0440\u0438\u0439: \u0447\u0442\u043e \u0435\u0441\u043b\u0438 \u0431\u044b \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u044f \u043f\u043e\u0431\u0435\u0434\u0438\u043b\u0430 \u0432\u043e \u0432\u0442\u043e\u0440\u043e\u0439 \u043c\u0438\u0440\u043e\u0432\u043e\u0439 \u0432\u043e\u0439\u043d\u0435. \u041e\u043f\u0438\u0448\u0438 \u0441\u043e\u0431\u044b\u0442\u0438\u044f \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0431\u044b \u043f\u0440\u043e\u0438\u0437\u043e\u0448\u043b\u0438 \u0432 1936 - 1937. \u041f\u0438\u0448\u0438 \u043a\u0430\u043a \u043d\u0430\u0441\u0442\u043e\u044f\u0449\u0438\u0435 \u0441\u043e\u0431\u044b\u0442\u0438\u044f \u0442\u0430\u043a \u0438 \u0442\u0435 \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043f\u043e\u044f\u0432\u0438\u043b\u0438\u0441\u044c \u0432 \u044d\u0442\u043e\u043c \u0441\u0446\u0435\u043d\u0430\u0440\u0438\u0438. \u041e\u043f\u0438\u0448\u0438 \u0441\u043e\u0431\u044b\u0442\u0438\u044f \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c\u0438 \u0441\u043b\u043e\u0432\u0430\u043c\u0438. \u041e\u0431\u044f\u0437\u0430\u0442\u0435\u043b\u044c\u043d\u043e \u043f\u0438\u0448\u0438 \u0441 \u0434\u0430\u0442\u0430\u043c\u0438."},{"assistant_initiates":false,"asst_text":"Hello! How can I assist you today?","behavior":"degenerate_repetition","conversation_hash":"12a3c1f2627a36dfcef610d53ea7f393","conversation_redacted":false,"conversation_toxic":false,"country":"Indonesia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Indonesian","model":"gpt-3.5-turbo-0613","n_chars":38,"n_turns_in_conversation":2,"n_words":8,"source_row_offset":17115,"source_shard":"turns-00008.parquet","timestamp":"Tue, 01 Aug 2023 12:11:11 GMT","turn_id":"8313a585b9f51a4d98170b74","turn_index":0,"user_text":"Jow"},{"assistant_initiates":false,"asst_text":"Sebagai persiapan untuk melakukan kursus \"Mendengarkan Secara Aktif sebagai Alat Pelatihan\", beberapa hal yang dapat Anda persiapkan antara lain:\n\n1. Tujuan yang jelas: Tentukan tujuan kursus Anda, misalnya, ingin meningkatkan keterampilan mendengarkan para supervisor dalam komunikasi di perusahaan.\n\n2. Konten yang relevan: Identifikasi konten-konten utama yang perlu disampaikan dalam kursus, seperti pentingnya mendengarkan aktif, teknik mendengarkan aktif, dan manfaatnya dalam pengambilan keputusan.\n\n3. Penggunaan multimedia: Kembangkan presentasi menarik yang mengandung elemen multimedia, seperti video, animasi, dan ilustrasi. Hal ini akan membuat kursus lebih menarik dan interaktif.\n\n4. Latihan dan tugas: Sertakan latihan-latihan atau tugas yang memungkinkan para peserta kursus untuk menguji keterampilan mendengarkan mereka dalam situasi nyata. Misalnya, berikan beberapa rekaman percakapan dan minta peserta untuk menyimpulkan informasi yang disampaikan.\n\n5. Evaluasi: Persiapkan metode evaluasi untuk mengukur keberhasilan kursus, seperti kuis penilaian, ulasan peserta, atau studi kasus yang melibatkan penerapan keterampilan mendengarkan.\n\nTantangan yang mungkin Anda hadapi dalam menjalankan kursus ini antara lain:\n\n1. Kesadaran peserta: Beberapa peserta mungkin tidak menyadari pentingnya keterampilan mendengarkan aktif dan mungkin tidak antusias untuk mengikuti kursus ini. Oleh karena itu, Anda perlu menyampaikan dengan jelas manfaat dan relevansi kursus ini dalam ruang kerja mereka.\n\n2. Pengembangan konten yang menarik: Menyusun konten yang menarik dan inovatif dalam presentasi e-Learning bisa menjadi tantangan tersendiri. Anda perlu memastikan bahwa presentasi Anda tidak terlalu kaku atau terlalu mirip dengan presentasi PowerPoint biasa.\n\n3. Penggunaan teknologi: Jika ini adalah kursus e-Learning, Anda mungkin perlu memahami platform atau perangkat lunak yang digunakan untuk memberikan kursus tersebut. Pastikan Anda terbiasa dengan alat-alat yang akan Anda gunakan untuk memastikan kelancaran penyampaian materi.\n\n4. Pengukuran efektivitas: Mengukur efektivitas kursus dan mengevaluasi apakah peserta benar-benar meningkatkan keterampilan mendengarkan mereka dapat menjadi tantangan. Anda perlu mempertimbangkan metode penilaian yang sesuai untuk mencapai tujuan kursus Anda.\n\n5. Mempertahankan minat peserta: Pastikan kursus Anda mempertahankan minat peserta sepanjang sesi. Gunakan contoh kasus nyata, studi kasus, dan latihan yang menarik untuk menjaga mereka terlibat dalam materi yang disampaikan.\n\nDengan persiapan yang matang dan pemahaman terhadap tantangan yang mungkin Anda hadapi, Anda dapat menyusun kursus yang efektif dan memuaskan bagi peserta.","behavior":"degenerate_repetition","conversation_hash":"12a3c1f2627a36dfcef610d53ea7f393","conversation_redacted":false,"conversation_toxic":false,"country":"Indonesia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Indonesian","model":"gpt-3.5-turbo-0613","n_chars":3807,"n_turns_in_conversation":2,"n_words":493,"source_row_offset":17116,"source_shard":"turns-00008.parquet","timestamp":"Tue, 01 Aug 2023 12:11:11 GMT","turn_id":"f26cc9ef30644f853c9a5edf","turn_index":1,"user_text":"Pertanyaan : \nSebagai seorang profesional Sumber Daya Manusia, saya ingin membuat serangkaian kursus \ne-Learning tentang komunikasi di perusahaan. Empat metode komunikasi utama adalah \nberbicara, membaca, menulis, dan mendengarkan. Dalam modul e-Learning pertama saya, \nsaya fokus pada mendengarkan. Mendengarkan adalah keterampilan yang diabaikan dan \nmungkin salah satu yang paling penting bagi supervisor. Kursus e-Learning yang saya buat \nberjudul \u201cMendengarkan Secara Aktif sebagai Alat Pelatihan.\u201d\nSaya perlu membuat presentasi yang akan membantu saya memecahkan beberapa masalah \nkhusus yang saya hadapi. Pada saat yang sama, saya tidak ingin membuat kursus yang akan \nterlihat seperti presentasi PowerPoint biasa dengan penggunaan poin-poin yang tidak masuk \nakal. Saya ingin menemukan cara yang lebih baik untuk menyusun presentasi. Demo yang \nsangat bagus di situs web iSpring memberi saya beberapa ide bagus. \nPertanyaan : \n\uf0b7 Apa yang anda persiapkan untuk melakukan kursus \u201cMendengarkan Secara Aktif \nsebagai Alat Pelatihan.\u201d\n\uf0b7 Apa yang menjadi tantangan bagi anda untuk melakukan kursus tersebut."},{"assistant_initiates":false,"asst_text":"When adding a new job in Hangfire through API, you can retrieve the `JobId` value by using the returned `EnqueuedState` object. Here's an example of how you can achieve this:\n\n```csharp\nusing (var server = new BackgroundJobServer())\n{\n    BackgroundJob.Enqueue(() => YourMethod());\n\n    // Access the Hangfire storage to get the enqueued state\n    var storage = new SqlServerStorage(\"YourConnectionStringHere\");\n    var monitoringApi = JobStorage.Current.GetMonitoringApi();\n    var jobDetails = monitoringApi.EnqueuedJobs(\"default\", 0, 10); // Change \"default\" to your desired queue name\n\n    foreach (var job in jobDetails)\n    {\n        var enqueuedState = job.Value.FirstOrDefault(state => state.Name == \"EnqueuedState\");\n\n        if (enqueuedState != null)\n        {\n            var jobId = enqueuedState.Id;\n            Console.WriteLine($\"JobId: {jobId}\");\n        }\n    }\n}\n```\n\nIn the above example, after enqueuing the job, we utilize the `MonitoringApi` to retrieve the enqueued jobs' details. Then, we iterate through the job details to find the `EnqueuedState`. Once we find the `EnqueuedState` object, we can retrieve the `JobId` using `enqueuedState.Id`. Finally, you can handle the `JobId` as needed.\n\nPlease note that you need to replace `\"YourConnectionStringHere\"` with your actual connection string to the database where Hangfire stores its data. Also, keep in mind that you should adjust the queue name based on your specific scenario.","behavior":"degenerate_repetition","conversation_hash":"86b1b18ae5daa47779f74b750245bc0b","conversation_redacted":false,"conversation_toxic":false,"country":"Greece","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-3.5-turbo-0613","n_chars":1521,"n_turns_in_conversation":3,"n_words":202,"source_row_offset":17117,"source_shard":"turns-00008.parquet","timestamp":"Tue, 01 Aug 2023 12:11:34 GMT","turn_id":"cc8444e1f3fdfb8e9521eab1","turn_index":0,"user_text":"\ufeff\ufeff\ufeff\ufeffhow get jobid value when add new jov in hangfire through api"},{"assistant_initiates":false,"asst_text":"In ASP.NET Core, you can add scoped services using the `AddScoped` method of `IServiceCollection` in your `Startup.cs` file. Here's an example of how you can add the `AddScoped` method to register the `IRepository<TEntity>` interface with the `DapperRepository<TEntity>` implementation:\n\n1. Open your `Startup.cs` file.\n\n2. Locate the `ConfigureServices` method. It should look something like this:\n\n```csharp\npublic void ConfigureServices(IServiceCollection services)\n{\n    //...\n}\n```\n\n3. Inside the `ConfigureServices` method, add the following code:\n\n```csharp\nservices.AddScoped(typeof(IRepository<>), typeof(DapperRepository<>));\n```\n\nMake sure to adjust the `IRepository<>` and `DapperRepository<>` with your own types.\n\n4. After adding the above line, the updated `ConfigureServices` method should look like this:\n\n```csharp\npublic void ConfigureServices(IServiceCollection services)\n{\n    // Other services...\n\n    services.AddScoped(typeof(IRepository<>), typeof(DapperRepository<>));\n\n    //...\n}\n```\n\nThe `AddScoped` method registers the `IRepository<TEntity>` interface and the `DapperRepository<TEntity>` implementation with the scoped lifetime. This means that a new instance of `DapperRepository<TEntity>` will be created for each HTTP request.\n\nNote that you might need to provide additional configuration or dependencies for the `DapperRepository` class depending on your specific setup.","behavior":"degenerate_repetition","conversation_hash":"86b1b18ae5daa47779f74b750245bc0b","conversation_redacted":false,"conversation_toxic":false,"country":"Greece","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-3.5-turbo-0613","n_chars":1513,"n_turns_in_conversation":3,"n_words":174,"source_row_offset":17118,"source_shard":"turns-00008.parquet","timestamp":"Tue, 01 Aug 2023 12:11:34 GMT","turn_id":"5a42225d4995656db9d8305e","turn_index":1,"user_text":"how addscop builder.Services.AddScoped<IRepository<TEntity>, DapperRepository<TEntity>>(); in asp .net core"},{"assistant_initiates":false,"asst_text":"When adding a new recurring job in Hangfire through the API, you can retrieve the `JobId` value by accessing the `RecurringJobId` property of the returned `RecurringJobDto` object. Here's an example of how you can achieve this:\n\n```csharp\nusing Hangfire;\nusing Hangfire.Common;\n\nvar jobId = BackgroundJob.Enqueue(() => YourMethod()); // Enqueue the job\n\nvar recurringJobId = BackgroundJob.Schedule(() => YourRecurringMethod(), TimeSpan.FromSeconds(60)); // Schedule a recurring job\n\n// Get the details of the recurring job\nvar recurringJobDto = JobStorage.Current.GetConnection().GetRecurringJobs()\n    .FirstOrDefault(job => job.Id == recurringJobId);\n\nif (recurringJobDto != null)\n{\n    var jobDefinition = JobStorage.Current.GetConnection().GetJobData(recurringJobDto.JobId).Job;\n\n    Console.WriteLine($\"RecurringJobId: {recurringJobDto.Id}\");\n    Console.WriteLine($\"JobId: {jobDefinition.Id}\");\n}\n```\n\nIn the above example, we enqueue a job using `BackgroundJob.Enqueue` and schedule a recurring job using `BackgroundJob.Schedule`. Then, we retrieve the details of the recurring job using the `GetRecurringJobs` method of the Hangfire connection. Afterwards, we access the `RecurringJobId` property of the `RecurringJobDto` object to get the recurring job ID. Finally, we retrieve the `JobId` by accessing the `JobId` property of the `JobDefinition` object using the `GetJobData` method.\n\nPlease note that to use the Hangfire API, you need to have the necessary Hangfire packages installed and configured in your ASP.NET Core application.","behavior":"degenerate_repetition","conversation_hash":"86b1b18ae5daa47779f74b750245bc0b","conversation_redacted":false,"conversation_toxic":false,"country":"Greece","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-3.5-turbo-0613","n_chars":1619,"n_turns_in_conversation":3,"n_words":200,"source_row_offset":17119,"source_shard":"turns-00008.parquet","timestamp":"Tue, 01 Aug 2023 12:11:34 GMT","turn_id":"301bd54575cdc251dc7b5892","turn_index":2,"user_text":"\ufeff\ufeff\ufeff\ufeffhow get jobid value when add new reccuring job in hangfire through api"}],"shard":{"index":8,"name":"turns-00008.parquet","rows":72814}}