{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":17313,"offset":17303,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"\u8981\u8ba1\u7b97\u5730\u7403\u81ea\u8f6c\u8f74\u504f\u53573\u5ea6\u89d2\u65f6\uff0c\u592a\u9633\u76f4\u5c04\u533a\u57df\u7684\u5317\u79fb\u8ddd\u79bb\uff0c\u53ef\u4ee5\u4f7f\u7528\u4e09\u89d2\u51fd\u6570\u6765\u6c42\u89e3\u3002\n\n\u9996\u5148\uff0c\u786e\u5b9a\u5730\u7403\u7684\u8d64\u9053\u534a\u5f84R\u4e3a6378.137\u5343\u7c73\u3002\n\n\u5047\u8bbe\u5317\u79fb\u8ddd\u79bb\u4e3aD\uff0c\u6839\u636e\u7403\u9762\u4e09\u89d2\u5b66\uff0c\u53ef\u5f97:\ncos D = cos (90\u00b0 - 3\u00b0) / cos 90\u00b0\n      = cos 87\u00b0 / 1\n      = cos 87\u00b0\n\n\u5c06\u7403\u9762\u4e09\u89d2\u51fd\u6570cos D\u7684\u503c\u4ee3\u5165\u8ba1\u7b97\uff0c\u53ef\u5f97:\nD = arccos(cos 87\u00b0)\n    \u2248 3\u00b0\n\n\u56e0\u6b64\uff0c\u5730\u7403\u81ea\u8f6c\u8f74\u504f\u53573\u5ea6\u89d2\u65f6\uff0c\u592a\u9633\u76f4\u5c04\u533a\u57df\u7684\u5317\u79fb\u8ddd\u79bb\u7ea6\u4e3a3\u5ea6\u3002","behavior":"degenerate_repetition","conversation_hash":"34d6c9499a066abfa54dc9f71195fbb3","conversation_redacted":false,"conversation_toxic":false,"country":"China","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":273,"n_turns_in_conversation":4,"n_words":31,"source_row_offset":17303,"source_shard":"turns-00006.parquet","timestamp":"Thu, 29 Jun 2023 03:59:10 GMT","turn_id":"3e24344994ac83db58db3e10","turn_index":0,"user_text":"\u5730\u7403\u81ea\u8f6c\u8f74\u504f\u53573\u5ea6\u89d2\u592a\u9633\u76f4\u5c04\u533a\u57df\u5317\u79fb\u8ddd\u79bb\u8ba1\u7b97\uff0c\u8981\u6709\u8ba1\u7b97\u8fc7\u7a0b"},{"assistant_initiates":false,"asst_text":"\u8981\u8ba1\u7b97\u5730\u7403\u81ea\u8f6c\u8f74\u504f\u53573\u5ea6\u89d2\u65f6\uff0c\u592a\u9633\u76f4\u5c04\u533a\u57df\u7684\u5317\u79fb\u8ddd\u79bb\uff0c\u53ef\u4ee5\u4f7f\u7528\u7403\u9762\u4e09\u89d2\u5b66\u548c\u5730\u7403\u7684\u51e0\u4f55\u7279\u6027\u6765\u6c42\u89e3\u3002\n\n\u9996\u5148\uff0c\u786e\u5b9a\u5730\u7403\u7684\u8d64\u9053\u534a\u5f84R\u4e3a6378.137\u5343\u7c73\u3002\n\n\u5047\u8bbe\u5317\u79fb\u8ddd\u79bb\u4e3aD\uff0c\u6839\u636e\u7403\u9762\u4e09\u89d2\u5b66\uff0c\u53ef\u5f97:\ncos D = cos (90\u00b0 - 3\u00b0) / cos 90\u00b0\n      = cos 87\u00b0 / 1\n      = cos 87\u00b0\n\n\u5c06\u7403\u9762\u4e09\u89d2\u51fd\u6570cos D\u7684\u503c\u4ee3\u5165\u8ba1\u7b97\uff0c\u53ef\u5f97:\nD = arccos(cos 87\u00b0)\n    \u2248 3\u00b0\n\n\u7531\u4e8e\u5730\u7403\u662f\u8fd1\u4f3c\u7403\u5f62\uff0c\u6240\u4ee5\u6211\u4eec\u53ef\u4ee5\u8fd1\u4f3c\u5730\u5c06\u89d2\u5ea6\u4e0e\u8ddd\u79bb\u76f4\u63a5\u76f8\u4e92\u5bf9\u5e94\u3002\u56e0\u6b64\uff0c3\u5ea6\u89d2\u5bf9\u5e94\u7684\u5317\u79fb\u8ddd\u79bb\u5c31\u662f3\u5ea6\u4e58\u4ee5\u5730\u7403\u7684\u5468\u957f\u3002\n\n\u5730\u7403\u7684\u5468\u957fC\u53ef\u4ee5\u901a\u8fc7\u516c\u5f0fC = 2\u03c0R\u6765\u8ba1\u7b97\uff0c\u5176\u4e2dR\u4e3a\u5730\u7403\u7684\u8d64\u9053\u534a\u5f84\u3002\n\nC = 2\u03c0 \u00d7 6378.137\n  \u2248 40075.04\u5343\u7c73\n\n\u56e0\u6b64\uff0c3\u5ea6\u89d2\u5bf9\u5e94\u7684\u5317\u79fb\u8ddd\u79bbD\u7ea6\u4e3a(3/360) \u00d7 40075.04\u5343\u7c73\u3002\n\nD = (3/360) \u00d7 40075.04\n  \u2248 333.96\u5343\u7c73\n\n\u6240\u4ee5\uff0c\u5730\u7403\u81ea\u8f6c\u8f74\u504f\u53573\u5ea6\u89d2\u65f6\uff0c\u592a\u9633\u76f4\u5c04\u533a\u57df\u7684\u5317\u79fb\u8ddd\u79bb\u7ea6\u4e3a333.96\u5343\u7c73\u3002","behavior":"degenerate_repetition","conversation_hash":"34d6c9499a066abfa54dc9f71195fbb3","conversation_redacted":false,"conversation_toxic":false,"country":"China","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":499,"n_turns_in_conversation":4,"n_words":52,"source_row_offset":17304,"source_shard":"turns-00006.parquet","timestamp":"Thu, 29 Jun 2023 03:59:10 GMT","turn_id":"98b10abb127af3347852c529","turn_index":1,"user_text":"\u5730\u7403\u81ea\u8f6c\u8f74\u504f\u53573\u5ea6\u89d2\u592a\u9633\u5728\u5730\u8868\u76f4\u5c04\u533a\u57df\u5317\u79fb\u8ddd\u79bb\u591a\u5c11\u516c\u91cc\uff0c\u8981\u6709\u8ba1\u7b97\u8fc7\u7a0b"},{"assistant_initiates":false,"asst_text":"\u8981\u8ba1\u7b97\u592a\u9633\u76f4\u5c04\u533a\u57df\u5317\u79fb1000\u516c\u91cc\u65f6\uff0c\u5730\u7403\u81ea\u8f6c\u8f74\u504f\u5357\u7684\u89d2\u5ea6\uff0c\u53ef\u4ee5\u4f7f\u7528\u7403\u9762\u4e09\u89d2\u5b66\u548c\u5730\u7403\u7684\u51e0\u4f55\u7279\u6027\u6765\u6c42\u89e3\u3002\n\n\u9996\u5148\uff0c\u786e\u5b9a\u5730\u7403\u7684\u8d64\u9053\u534a\u5f84R\u4e3a6378.137\u5343\u7c73\u3002\n\n\u5047\u8bbe\u5317\u79fb\u8ddd\u79bb\u4e3aD\uff0c\u6839\u636e\u7403\u9762\u4e09\u89d2\u5b66\u548c\u5730\u7403\u7684\u51e0\u4f55\u7279\u6027\uff0c\u53ef\u4ee5\u5f97\u51fa\u4ee5\u4e0b\u5173\u7cfb\u5f0f\uff1a\nD = (\u03b8 / 360) \u00d7 2\u03c0R\n\n\u5176\u4e2d\uff0c\u03b8\u4e3a\u81ea\u8f6c\u8f74\u504f\u5357\u7684\u89d2\u5ea6\u3002\n\n\u5c06\u5df2\u77e5\u6570\u636e\u4ee3\u5165\u8ba1\u7b97\uff0c\u53ef\u5f97\uff1a\n1000 = (\u03b8 / 360) \u00d7 2\u03c0 \u00d7 6378.137\n\n\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u89e3\u4e0a\u9762\u7684\u65b9\u7a0b\uff0c\u6c42\u5f97\u03b8\u3002\n\n\u9996\u5148\uff0c\u5c06\u65b9\u7a0b\u4e24\u8fb9\u540c\u65f6\u9664\u4ee51000\uff0c\u5f97\u5230\uff1a\n1 = (\u03b8 / 360) \u00d7 (2\u03c0 \u00d7 6378.137) / 1000\n\n\u7136\u540e\uff0c\u5c06\u65b9\u7a0b\u4e24\u8fb9\u540c\u65f6\u4e58\u4ee5360\uff0c\u5f97\u5230\uff1a\n360 = \u03b8 \u00d7 (2\u03c0 \u00d7 6378.137) / 1000\n\n\u518d\u6b21\u7b80\u5316\u65b9\u7a0b\uff0c\u5f97\u5230\uff1a\n\u03b8 = 360 \u00d7 1000 / (2\u03c0 \u00d7 6378.137)\n\n\u6700\u540e\uff0c\u8ba1\u7b97\u51fa\u03b8\u7684\u503c\uff1a\n\u03b8 \u2248 32.33\n\n\u56e0\u6b64\uff0c\u592a\u9633\u76f4\u5c04\u533a\u57df\u5317\u79fb1000\u516c\u91cc\u65f6\uff0c\u5730\u7403\u81ea\u8f6c\u8f74\u504f\u5357\u7684\u89d2\u5ea6\u7ea6\u4e3a32.33\u5ea6\u3002","behavior":"degenerate_repetition","conversation_hash":"34d6c9499a066abfa54dc9f71195fbb3","conversation_redacted":false,"conversation_toxic":false,"country":"China","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":475,"n_turns_in_conversation":4,"n_words":60,"source_row_offset":17305,"source_shard":"turns-00006.parquet","timestamp":"Thu, 29 Jun 2023 03:59:10 GMT","turn_id":"069c1c848c1d3d2528e77ca5","turn_index":2,"user_text":"\u592a\u9633\u76f4\u5c04\u533a\u57df\u5317\u79fb1000\u516c\u91cc\uff0c\u5730\u7403\u81ea\u8f6c\u8f74\u504f\u5357\u591a\u5c11\u89d2\u5ea6\uff0c\u8981\u6709\u8ba1\u7b97\u8fc7\u7a0b"},{"assistant_initiates":false,"asst_text":"\u8981\u8ba1\u7b97\u592a\u9633\u76f4\u5c04\u533a\u7531\u5f53\u524d\u4f4d\u7f6e\u5317\u79fb1000\u516c\u91cc\u65f6\uff0c\u5730\u7403\u81ea\u8f6c\u8f74\u76f8\u5bf9\u4e8e\u5f53\u524d\u89d2\u5ea6\u7684\u504f\u79bb\u89d2\u5ea6\uff0c\u53ef\u4ee5\u4f7f\u7528\u7403\u9762\u4e09\u89d2\u5b66\u548c\u5730\u7403\u7684\u51e0\u4f55\u7279\u6027\u6765\u6c42\u89e3\u3002\n\n\u9996\u5148\uff0c\u786e\u5b9a\u5730\u7403\u7684\u8d64\u9053\u534a\u5f84R\u4e3a6378.137\u5343\u7c73\u3002\n\n\u5047\u8bbe\u5f53\u524d\u4f4d\u7f6e\u7684\u89d2\u5ea6\u4e3a\u03b81\uff0c\u6211\u4eec\u8981\u6c42\u7684\u504f\u79bb\u89d2\u5ea6\u4e3a\u03b82\u3002\n\n\u6839\u636e\u7403\u9762\u4e09\u89d2\u5b66\u548c\u5730\u7403\u7684\u51e0\u4f55\u7279\u6027\uff0c\u53ef\u4ee5\u5f97\u51fa\u4ee5\u4e0b\u5173\u7cfb\u5f0f\uff1a\n1000 = (\u03b82 - \u03b81) / 360  \u00d7 2\u03c0R\n\n\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u89e3\u4e0a\u9762\u7684\u65b9\u7a0b\uff0c\u6c42\u5f97\u03b82\u4e0e\u03b81\u7684\u5dee\u503c\u3002\n\n\u9996\u5148\uff0c\u5c06\u65b9\u7a0b\u4e24\u8fb9\u540c\u65f6\u4e58\u4ee5360\uff0c\u5e76\u5c062\u03c0R\u66ff\u6362\u4e3a\u5730\u7403\u5468\u957fC\uff0c\u5f97\u5230\uff1a\n360 \u00d7 1000 = (\u03b82 - \u03b81) \u00d7 C\n\n\u7136\u540e\uff0c\u5c06\u65b9\u7a0b\u4e24\u8fb9\u540c\u65f6\u9664\u4ee5C\uff0c\u5f97\u5230\uff1a\n360 \u00d7 1000 / C = \u03b82 - \u03b81\n\n\u6700\u540e\uff0c\u8ba1\u7b97\u51fa\u03b82\u4e0e\u03b81\u7684\u5dee\u503c\uff1a\n\u03b82 - \u03b81 = 360 \u00d7 1000 / C\n\n\u7531\u4e8e\u9898\u76ee\u672a\u7ed9\u51fa\u5177\u4f53\u7684\u5f53\u524d\u4f4d\u7f6e\uff0c\u6211\u4eec\u9700\u8981\u5148\u8ba1\u7b97\u5730\u7403\u7684\u5468\u957fC\u3002\n\n\u5730\u7403\u7684\u5468\u957fC\u53ef\u4ee5\u901a\u8fc7\u516c\u5f0fC = 2\u03c0R\u6765\u8ba1\u7b97\uff0c\u5176\u4e2dR\u4e3a\u5730\u7403\u7684\u8d64\u9053\u534a\u5f84\u3002\n\nC = 2\u03c0 \u00d7 6378.137\n  \u2248 40075.04\u5343\u7c73\n\n\u5c06\u5730\u7403\u5468\u957fC\u7684\u503c\u4ee3\u5165\u8ba1\u7b97\uff0c\u53ef\u5f97\uff1a\n\u03b82 - \u03b81 = 360 \u00d7 1000 / 40075.04\n\n\u8ba1\u7b97\u5f97\u5230\uff1a\n\u03b82 - \u03b81 \u2248 8.99\n\n\u56e0\u6b64\uff0c\u5982\u679c\u592a\u9633\u76f4\u5c04\u533a\u7531\u5f53\u524d\u4f4d\u7f6e\u5317\u79fb1000\u516c\u91cc\uff0c\u5730\u7403\u81ea\u8f6c\u8f74\u76f8\u5bf9\u4e8e\u5f53\u524d\u89d2\u5ea6\u7684\u504f\u79bb\u89d2\u5ea6\u7ea6\u4e3a8.99\u5ea6\u3002","behavior":"degenerate_repetition","conversation_hash":"34d6c9499a066abfa54dc9f71195fbb3","conversation_redacted":false,"conversation_toxic":false,"country":"China","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":618,"n_turns_in_conversation":4,"n_words":73,"source_row_offset":17306,"source_shard":"turns-00006.parquet","timestamp":"Thu, 29 Jun 2023 03:59:10 GMT","turn_id":"8e9aac79d001b3457e138647","turn_index":3,"user_text":"\u592a\u9633\u76f4\u5c04\u533a\u7531\u5f53\u524d\u4f4d\u7f6e\u5317\u79fb1000\u516c\u91cc\uff0c\u5730\u7403\u81ea\u8f6c\u8f74\u6bd4\u5f53\u524d\u89d2\u5ea6\u504f\u79bb\u591a\u5c11\u89d2\u5ea6\uff0c\u8981\u6709\u8ba1\u7b97\u8fc7\u7a0b"},{"assistant_initiates":false,"asst_text":"Hey, I wanted to talk to you about something, and I hope you don't mind. I understand that it can be frustrating when a product you like undergoes changes that you aren't a fan of. Trust me, I've been in that situation before, and it's natural to feel a bit annoyed. However, it's important not to exaggerate the situation and claim that there's some grand conspiracy behind it all. It's perfectly valid for you to be angry because they made changes you don't like, without making it about censorship.\n\nI've noticed this pattern happening quite a few times. Companies make changes, people get upset, and then they move on to the next thing to be mad about. The concerns people had about what might happen in the future don't always come true. So, while I understand your concern about potential impacts on things you enjoy, it's not affecting them right now, is it? Just because something \"might\" happen doesn't mean it \"will\" happen. Remember the example of 4kids and anime censorship? Not all anime was censored, and now anime isn't facing widespread censorship anymore.\n\nSo, instead of worrying about an endless slippery slope, let's remember that there are limits to how far things can go. The slippery slope fallacy, even if it supports our viewpoint, is still a fallacy. Let's focus on the specific changes we don't like rather than blowing things out of proportion.","behavior":"degenerate_repetition","conversation_hash":"8d1909c00beda7c657c7c5d92a324b2c","conversation_redacted":false,"conversation_toxic":false,"country":"Mexico","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":3437,"n_turns_in_conversation":1,"n_words":601,"source_row_offset":17307,"source_shard":"turns-00006.parquet","timestamp":"Thu, 29 Jun 2023 03:59:49 GMT","turn_id":"f5fb94bfb990825d3a4a5d53","turn_index":0,"user_text":"Rewrite this text in a friendlier and respectful manner: Listen, I know you will probably hate me for what I\u2019m going to say, but I can\u2019t for the life of me bring myself to care about this. Yes, it sucks when they make changes you don\u2019t like to a product you like, believe me, i\u2019ve been there, and it\u2019s okay for you to feel a tad irritated when it happens, but don\u2019t go and try to convince other people (and yourself) that there\u2019s some kind of \u201cgreater purpose\u201d behind your outrage. \u201cThey made changes I don\u2019t like\u201d is a perfectly valid reason for you to be angry, not need go all \u201cit\u2019s all about the censorship\u201d just to make your concern more important that what it really is. I say this because it has happened so many times already: companies make some changes or remove something to their product, people cry \u201ccensorship!!\u201d about it, everyone gets mad for like three days, and then they move on to the next thing to be angry about. And those concerns that people had over what would eventually happen? Most of the time, they didn\u2019t end up happening at all. Now, if you are anti-censorship in general, that\u2019s fine too, but it feels disingenuous that you are using this situation (about a game that you admitted to have no interest at all) just so you can say all your anti-censorship rethoric. But you\u2019re being sincere about it, so that\u2019s a plus. \u201cBut this might affect stuff I like too\u201d-understandable concern, but here\u2019s the thing: it\u2019s not affecting something you like right now, is it? \u201cBut it might someday\u201d -just because it \u201cmight\u201dhappen doesn\u2019t mean it \u201cwill\u201d happen. Let\u2019s use your 4kids example: just because 4kids did censor some anime, that doesn\u2019t mean ALL anime was censored, in fact, many animes aired in their original form in america. Fast forward now, anime isn\u2019t really being censored anymore, is it? So if the fear of swiping censorship didn\u2019t become true then, why would it now?\n\u201cWhen will it stop, then?\u201d The answer: somewhere. It always stops somewhere. The slippery slope fallacy it\u2019s still a fallacy, even if we agree with its conclusion."},{"assistant_initiates":false,"asst_text":"Here is a list of popular and general hashtags that can help attract a wide net of followers on your Facebook page:\n\n1. #Facebook\n2. #SocialMedia\n3. #Follow4Follow\n4. #InstaFollow\n5. #LikeForLike\n6. #Followers\n7. #Popular\n8. #Viral\n9. #Trending\n10. #ExplorePage\n11. #LikeBack\n12. #InstaGood\n13. #Love\n14. #PhotoOfTheDay\n15. #InstaDaily\n16. #PicOfTheDay\n17. #Fun\n18. #Happy\n19. #Inspiration\n20. #Motivation\n21. #LifeGoals\n22. #Success\n23. #Entrepreneur\n24. #Business\n25. #Marketing\n26. #DigitalMarketing\n27. #Brand\n28. #OnlinePresence\n29. #Creative\n30. #Art\n\nRemember to use hashtags that are relevant to your content or niche, as well as those that are currently trending, to maximize their effectiveness in attracting followers.","behavior":"degenerate_repetition","conversation_hash":"6be0605761bc613cc579d78515bbfb4c","conversation_redacted":false,"conversation_toxic":false,"country":"United States","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":819,"n_turns_in_conversation":1,"n_words":127,"source_row_offset":17308,"source_shard":"turns-00006.parquet","timestamp":"Thu, 29 Jun 2023 04:01:01 GMT","turn_id":"95a8461c35dab231a3b94b68","turn_index":0,"user_text":"Give me list of hashtags to attract a wide net of the most followers on my Facebook page."},{"assistant_initiates":false,"asst_text":"\u0412 \u0420\u043e\u0441\u0441\u0438\u0438 \u043e\u0442\u0441\u0443\u0442\u0441\u0442\u0432\u0443\u044e\u0442 \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0435 \u0437\u0430\u043a\u043e\u043d\u043e\u0434\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u043d\u043e\u0440\u043c\u044b, \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u044e\u0449\u0438\u0435 \u0434\u0440\u0435\u0441\u0441-\u043a\u043e\u0434 \u0434\u043b\u044f \u0438\u0441\u0442\u0446\u0430 \u0438\u043b\u0438 \u0434\u043b\u044f \u043b\u044e\u0431\u043e\u0433\u043e \u0434\u0440\u0443\u0433\u043e\u0433\u043e \u043b\u0438\u0446\u0430, \u0443\u0447\u0430\u0441\u0442\u0432\u0443\u044e\u0449\u0435\u0433\u043e \u0432 \u0441\u0443\u0434\u0435\u0431\u043d\u044b\u0445 \u043f\u0440\u043e\u0446\u0435\u0434\u0443\u0440\u0430\u0445. \u041e\u0434\u043d\u0430\u043a\u043e, \u0441\u0443\u0434\u0435\u0431\u043d\u044b\u0435 \u0437\u0430\u0441\u0435\u0434\u0430\u043d\u0438\u044f \u044f\u0432\u043b\u044f\u044e\u0442\u0441\u044f \u043e\u0444\u0438\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u043c\u0438 \u043c\u0435\u0440\u043e\u043f\u0440\u0438\u044f\u0442\u0438\u044f\u043c\u0438, \u043f\u043e\u0434\u043e\u0431\u043d\u043e \u0434\u0435\u043b\u043e\u0432\u044b\u043c \u0432\u0441\u0442\u0440\u0435\u0447\u0430\u043c \u0438\u043b\u0438 \u043e\u0444\u0438\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u043c \u043c\u0435\u0440\u043e\u043f\u0440\u0438\u044f\u0442\u0438\u044f\u043c, \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0443\u0435\u0442\u0441\u044f \u043f\u0440\u0438\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0442\u044c\u0441\u044f \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0435\u0433\u043e \u043f\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u044f \u0438 \u044d\u0442\u0438\u043a\u0435\u0442\u0430.\n\n\u041e\u0431\u044b\u0447\u043d\u043e \u0438\u0441\u0442\u0438\u0446\u0435 \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0443\u0435\u0442\u0441\u044f \u043f\u0440\u0438\u0445\u043e\u0434\u0438\u0442\u044c \u043d\u0430 \u0441\u0443\u0434 \u0432 \u043a\u043e\u0441\u0442\u044e\u043c\u0435 \u0438\u043b\u0438 \u0434\u0435\u043b\u043e\u0432\u043e\u043c \u043d\u0430\u0440\u044f\u0434\u0435, \u043f\u043e\u0434\u043e\u0431\u043d\u043e\u043c \u0442\u043e\u043c\u0443, \u043a\u043e\u0442\u043e\u0440\u044b\u043c \u043e\u0434\u0435\u0432\u0430\u0435\u0442\u0441\u044f \u0447\u0435\u043b\u043e\u0432\u0435\u043a \u043d\u0430 \u0434\u0435\u043b\u043e\u0432\u0443\u044e \u0432\u0441\u0442\u0440\u0435\u0447\u0443 \u0438\u043b\u0438 \u0432 \u043e\u0444\u0438\u0441. \u0420\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0443\u0435\u0442\u0441\u044f \u0438\u0437\u0431\u0435\u0433\u0430\u0442\u044c \u043d\u0435\u043f\u0440\u0438\u0441\u0442\u043e\u0439\u043d\u043e\u0439 \u0438\u043b\u0438 \u043d\u0435\u043f\u0440\u0438\u0435\u043c\u043b\u0435\u043c\u043e\u0439 \u043e\u0434\u0435\u0436\u0434\u044b, \u0442\u0430\u043a\u043e\u0439 \u043a\u0430\u043a \u0448\u043e\u0440\u0442\u044b, \u0444\u0443\u0442\u0431\u043e\u043b\u043a\u0438 \u0441 \u043f\u0440\u0438\u043d\u0442\u0430\u043c\u0438 \u0438\u043b\u0438 \u043e\u0442\u043a\u0440\u044b\u0442\u0430\u044f \u043e\u0431\u0443\u0432\u044c. \n\n\u041e\u0434\u043d\u0430\u043a\u043e, \u0441\u0442\u043e\u0438\u0442 \u043e\u0442\u043c\u0435\u0442\u0438\u0442\u044c, \u0447\u0442\u043e \u0441\u0443\u0434\u0435\u0431\u043d\u044b\u0435 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u044b \u043c\u043e\u0433\u0443\u0442 \u0431\u044b\u0442\u044c \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u043c\u0438 \u0438 \u043c\u043e\u0433\u0443\u0442 \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u043e\u0432\u0430\u0442\u044c \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043e\u0441\u043e\u0431\u0435\u043d\u043d\u043e\u0441\u0442\u0438 \u0434\u0440\u0435\u0441\u0441-\u043a\u043e\u0434\u0430, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0442\u0440\u0435\u0431\u0443\u044e\u0442\u0441\u044f \u0432 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0445 \u0441\u0443\u0434\u0435\u0431\u043d\u044b\u0445 \u0438\u043d\u0441\u0442\u0430\u043d\u0446\u0438\u044f\u0445 \u0438\u043b\u0438 \u043f\u0440\u0438 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0445 \u0442\u0438\u043f\u0430\u0445 \u0434\u0435\u043b. \u041b\u0443\u0447\u0448\u0435 \u0432\u0441\u0435\u0433\u043e \u043e\u0431\u0440\u0430\u0442\u0438\u0442\u044c\u0441\u044f \u043a \u0430\u0434\u0432\u043e\u043a\u0430\u0442\u0443 \u0438\u043b\u0438 \u044e\u0440\u0438\u0441\u0442\u0443, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0431\u0443\u0434\u0435\u0442 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u044f\u0442\u044c \u0432\u0430\u0448\u0438 \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u044b \u0437\u0430 \u0434\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0435\u0439 \u043e \u0434\u0440\u0435\u0441\u0441-\u043a\u043e\u0434\u0435 \u0434\u043b\u044f \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u043e\u0433\u043e \u0441\u043b\u0443\u0447\u0430\u044f.","behavior":"degenerate_repetition","conversation_hash":"bcc62d602138143f35fe141562ab6139","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":1014,"n_turns_in_conversation":1,"n_words":128,"source_row_offset":17309,"source_shard":"turns-00006.parquet","timestamp":"Thu, 29 Jun 2023 04:01:43 GMT","turn_id":"878f73696d1eb45c7153dd92","turn_index":0,"user_text":"\u0415\u0441\u0442\u044c \u043b\u0438 \u0434\u0440\u0435\u0441\u0441-\u043a\u043e\u0434 \u0434\u043b\u044f \u0438\u0441\u0442\u0446\u0430 \u0432 \u0420\u043e\u0441\u0441\u0438\u0438"},{"assistant_initiates":false,"asst_text":"\u5f88\u62b1\u6b49\uff0c\u6211\u65e0\u6cd5\u63d0\u4f9b\u672a\u6765\u51e0\u5e74\u7684\u7279\u5b9a\u4f1a\u8bae\u8bba\u6587\u7684\u8be6\u7ec6\u4fe1\u606f\uff0c\u56e0\u4e3a\u8fd9\u4e9b\u4fe1\u606f\u5c1a\u672a\u516c\u5f00\u3002CVPR\u548cICRA\u662f\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u673a\u5668\u4eba\u9886\u57df\u7684\u9876\u7ea7\u4f1a\u8bae\u548c\u671f\u520a\uff0c\u6bcf\u5e74\u90fd\u4f1a\u516c\u5e03\u63a5\u53d7\u7684\u8bba\u6587\u5217\u8868\u3002\u60a8\u53ef\u4ee5\u53c2\u8003\u4ed6\u4eec\u7684\u5b98\u65b9\u7f51\u7ad9\uff0c\u53ca\u65f6\u4e86\u89e3\u6700\u65b0\u7684\u8bba\u6587\u548c\u7814\u7a76\u8fdb\u5c55\u3002\u53e6\u5916\uff0c\u60a8\u8fd8\u53ef\u4ee5\u901a\u8fc7\u5173\u6ce8\u76f8\u5173\u7814\u7a76\u8005\u548c\u7ec4\u7ec7\u7684\u535a\u5ba2\u3001\u793e\u4ea4\u5a92\u4f53\u7b49\u6e20\u9053\uff0c\u83b7\u53d6\u6700\u65b0\u7684\u7814\u7a76\u6210\u679c\u548c\u9886\u57df\u52a8\u6001\u3002","behavior":"degenerate_repetition","conversation_hash":"5f11d5661a37696c413a6ad0d2070527","conversation_redacted":false,"conversation_toxic":false,"country":"China","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":189,"n_turns_in_conversation":12,"n_words":2,"source_row_offset":17310,"source_shard":"turns-00006.parquet","timestamp":"Thu, 29 Jun 2023 04:03:09 GMT","turn_id":"694c6f65028b018d2b44ad64","turn_index":0,"user_text":"\u80fd\u7ed9\u6211\u63d0\u4f9b\u51e0\u4e2a2023\u5e74cvpr\uff0cicca\u5173\u4e8eslam\u65b9\u5411\u7684\u8bba\u6587\u5417"},{"assistant_initiates":false,"asst_text":"\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5728SLAM\u65b9\u5411\u4e0a\u6d3b\u8dc3\u5e76\u503c\u5f97\u5173\u6ce8\u7684\u7814\u7a76\u8005\uff08\u6839\u636e\u5176\u5728\u8be5\u9886\u57df\u7684\u77e5\u540d\u5ea6\u548c\u8d21\u732e\u7a0b\u5ea6\uff09\uff1a\n\n1. Andrew Davison - Imperial College London\n2. John Leonard - Massachusetts Institute of Technology\n3. Davide Scaramuzza - University of Zurich\n4. Sebastian Thrun - Stanford University\n5. J\u00fcrgen Sturm - Technical University of Munich\n6. George D. Hager - Johns Hopkins University\n7. Michael Kaess - Carnegie Mellon University\n8. Paolo Robuffo Giordano - Max Planck Institute for Intelligent Systems\n9. Cyrill Stachniss - University of Bonn\n10. Wolfram Burgard - University of Freiburg\n\n\u8fd9\u4ec5\u4ec5\u662f\u4e00\u4e9b\u7814\u7a76\u8005\u7684\u4f8b\u5b50\uff0c\u8fd8\u6709\u8bb8\u591a\u5176\u4ed6\u5728SLAM\u9886\u57df\u505a\u51fa\u4e86\u91cd\u8981\u8d21\u732e\u7684\u7814\u7a76\u8005\u3002\u60a8\u53ef\u4ee5\u901a\u8fc7\u67e5\u9605\u76f8\u5173\u4f1a\u8bae\u671f\u520a\u548c\u6587\u732e\uff0c\u4ee5\u53ca\u5173\u6ce8\u4ed6\u4eec\u7684\u7814\u7a76\u9879\u76ee\u548c\u6210\u679c\u6765\u8ddf\u8e2a\u8fd9\u4e9b\u7814\u7a76\u8005\u7684\u6700\u65b0\u5de5\u4f5c\u3002","behavior":"degenerate_repetition","conversation_hash":"5f11d5661a37696c413a6ad0d2070527","conversation_redacted":false,"conversation_toxic":false,"country":"China","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":624,"n_turns_in_conversation":12,"n_words":79,"source_row_offset":17311,"source_shard":"turns-00006.parquet","timestamp":"Thu, 29 Jun 2023 04:03:09 GMT","turn_id":"f61e099c38cbb9727ed91a7b","turn_index":1,"user_text":"\u54ea\u4e9b\u7814\u7a76\u8005\u503c\u5f97\u5173\u6ce8"},{"assistant_initiates":false,"asst_text":"\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5728SLAM\u9886\u57df\u4e2d\u63d0\u4f9b\u6709\u4ef7\u503c\u5185\u5bb9\u7684\u535a\u5ba2\uff1a\n\n1. SLAM Hub: https://www.slamhub.org/\n2. Sebastian Thrun's blog: http://robots.stanford.edu/\n3. Robotics Institute Blog: https://www.ri.cmu.edu/blog/\n4. Cyrill Stachniss' blog: https://www.ipb.uni-bonn.de/staff/cyrill-stachniss/\n5. OpenSLAM Blog: http://www.openslam.org/blog.html\n6. UAVSLAM Blog: https://uavcore.com/blogs/uavslam\n7. Andrew Davison's blog: https://www.doc.ic.ac.uk/~ajd/\n8. ROS (Robot Operating System) Blog: https://www.ros.org/news/\n9. ETH Robotics Systems Lab Blog: https://roboticsystemslab.github.io/\n10. Robotics and Perception Group (University of Z\u00fcrich) Blog: https://rpg.ifi.uzh.ch/blog.html\n\n\u8fd9\u4e9b\u535a\u5ba2\u6db5\u76d6\u4e86SLAM\u9886\u57df\u7684\u5404\u4e2a\u65b9\u9762\uff0c\u5305\u62ec\u7406\u8bba\u3001\u7b97\u6cd5\u3001\u5e94\u7528\u7b49\uff0c\u901a\u8fc7\u5173\u6ce8\u8fd9\u4e9b\u535a\u5ba2\uff0c\u60a8\u53ef\u4ee5\u83b7\u53d6\u5230\u6700\u65b0\u7684\u7814\u7a76\u6210\u679c\u3001\u6280\u672f\u8fdb\u5c55\u4ee5\u53ca\u76f8\u5173\u7684\u5b66\u672f\u548c\u5de5\u4e1a\u52a8\u6001\u3002","behavior":"degenerate_repetition","conversation_hash":"5f11d5661a37696c413a6ad0d2070527","conversation_redacted":false,"conversation_toxic":false,"country":"China","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":729,"n_turns_in_conversation":12,"n_words":59,"source_row_offset":17312,"source_shard":"turns-00006.parquet","timestamp":"Thu, 29 Jun 2023 04:03:09 GMT","turn_id":"3208aeff0c07ad9a6c18ae68","turn_index":2,"user_text":"\u54ea\u4e9b\u535a\u5ba2\u503c\u5f97\u5173\u6ce8\u5462\uff1f"}],"shard":{"index":6,"name":"turns-00006.parquet","rows":100083}}