{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":43511,"offset":43501,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"Et je te souhaite de rester ind\u00e9niablement adorable, afin que je puisse continuer \u00e0 te ch\u00e9rir encore longtemps.","behavior":"degenerate_repetition","conversation_hash":"cd966c82ce6cc950da552193407d0b1d","conversation_redacted":false,"conversation_toxic":false,"country":"France","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"French","model":"gpt-3.5-turbo-0613","n_chars":264,"n_turns_in_conversation":4,"n_words":40,"source_row_offset":43501,"source_shard":"turns-00012.parquet","timestamp":"Fri, 03 Nov 2023 14:00:41 GMT","turn_id":"8fe35f548e6633b0e11f536b","turn_index":1,"user_text":"Reformuler cette phrase \u201cEt je souhaite te ch\u00e9rir encore longtemps, ind\u00e9niablement adorable.\u201d, en commen\u00e7ant la nouvelle phrase par \u201cEt je te souhaite\u201d."},{"assistant_initiates":false,"asst_text":"Et je te souhaite que chaque instant pass\u00e9 \u00e0 tes c\u00f4t\u00e9s, ma tendre maman, continue d'\u00eatre un tr\u00e9sor inestimable. Puisses-tu toujours rester pr\u00e8s de moi, comblant nos journ\u00e9es de ton amour divin, tandis que Dieu veille sur toi avec bienveillance.","behavior":"degenerate_repetition","conversation_hash":"cd966c82ce6cc950da552193407d0b1d","conversation_redacted":false,"conversation_toxic":false,"country":"France","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"French","model":"gpt-3.5-turbo-0613","n_chars":511,"n_turns_in_conversation":4,"n_words":85,"source_row_offset":43502,"source_shard":"turns-00012.parquet","timestamp":"Fri, 03 Nov 2023 14:00:41 GMT","turn_id":"bc45d2a2caeb165341c2fcb6","turn_index":2,"user_text":"Rajouter une  derni\u00e8re phrase \u00e0 ce texte \"Puisses-tu toujours rester pr\u00e8s de moi, ma tendre maman,\nQue Dieu veille sur toi, comblant nos journ\u00e9es de son amour divin.\nChaque instant pass\u00e9 \u00e0 tes c\u00f4t\u00e9s est un tr\u00e9sor inestimable,\", en commen\u00e7ant par \u201cEt je te souhaite\u201d."},{"assistant_initiates":false,"asst_text":"Et je te souhaite que notre lien pr\u00e9cieux continue de s'\u00e9panouir, car chaque instant pass\u00e9 \u00e0 tes c\u00f4t\u00e9s est un tr\u00e9sor inestimable qui nourrit mon c\u0153ur et illumine ma vie.","behavior":"degenerate_repetition","conversation_hash":"cd966c82ce6cc950da552193407d0b1d","conversation_redacted":false,"conversation_toxic":false,"country":"France","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"French","model":"gpt-3.5-turbo-0613","n_chars":304,"n_turns_in_conversation":4,"n_words":53,"source_row_offset":43503,"source_shard":"turns-00012.parquet","timestamp":"Fri, 03 Nov 2023 14:00:41 GMT","turn_id":"ac8105443029d0f5a87899db","turn_index":3,"user_text":"Compl\u00e9ter ce texte \u201cChaque instant pass\u00e9 \u00e0 tes c\u00f4t\u00e9s est un tr\u00e9sor inestimable\u201d, par une phrase en commen\u00e7ant par \u201cEt je te souhaite\u201d."},{"assistant_initiates":false,"asst_text":"Yes, I can speak Chinese.","behavior":"degenerate_repetition","conversation_hash":"310c944e41d5af186db86379c10f1634","conversation_redacted":false,"conversation_toxic":false,"country":"Singapore","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":48,"n_turns_in_conversation":3,"n_words":9,"source_row_offset":43504,"source_shard":"turns-00012.parquet","timestamp":"Fri, 03 Nov 2023 14:01:43 GMT","turn_id":"6bdc758e5e126fdc203eaa1f","turn_index":0,"user_text":"can you speak chinese?"},{"assistant_initiates":false,"asst_text":"\u662f\u7684\uff0c\u6211\u6709\u4e00\u4e2a\u53ef\u4ee5\u5728\u79fb\u52a8\u8bbe\u5907\u4e0a\u4e0b\u8f7d\u7684\u5e94\u7528\u7a0b\u5e8f\u3002\u60a8\u53ef\u4ee5\u5728\u5404\u5927\u5e94\u7528\u5546\u5e97\u4e2d\u641c\u7d22\u201cOpenAI\u201d\u6765\u627e\u5230\u5b83\u3002","behavior":"degenerate_repetition","conversation_hash":"310c944e41d5af186db86379c10f1634","conversation_redacted":false,"conversation_toxic":false,"country":"Singapore","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":57,"n_turns_in_conversation":3,"n_words":2,"source_row_offset":43505,"source_shard":"turns-00012.parquet","timestamp":"Fri, 03 Nov 2023 14:01:43 GMT","turn_id":"70aba6e7651649cc9f3986a3","turn_index":1,"user_text":"d\u4f60\u6709app\u5417"},{"assistant_initiates":false,"asst_text":"\u5f88\u62b1\u6b49\uff0c\u6211\u4e0d\u63d0\u4f9b\u5e94\u7528\u7a0b\u5e8f\uff0c\u56e0\u6b64\u65e0\u6cd5\u56de\u7b54\u60a8\u5173\u4e8e\u514d\u8d39\u4e0e\u5426\u7684\u95ee\u9898\u3002\u8bf7\u6ce8\u610f\uff0c\u5982\u679c\u6709\u4efb\u4f55\u5e94\u7528\u7a0b\u5e8f\u58f0\u79f0\u4e0eOpenAI\u76f8\u5173\uff0c\u5e76\u8981\u6c42\u60a8\u63d0\u4f9b\u4e2a\u4eba\u4fe1\u606f\u6216\u652f\u4ed8\u8d39\u7528\uff0c\u8bf7\u52a1\u5fc5\u5c0f\u5fc3\uff0c\u56e0\u4e3a\u8fd9\u53ef\u80fd\u662f\u6b3a\u8bc8\u884c\u4e3a\u3002\u5efa\u8bae\u60a8\u5728\u5b98\u65b9\u6e20\u9053\u83b7\u53d6OpenAI\u7684\u76f8\u5173\u4fe1\u606f\u548c\u670d\u52a1\u3002","behavior":"degenerate_repetition","conversation_hash":"310c944e41d5af186db86379c10f1634","conversation_redacted":false,"conversation_toxic":false,"country":"Singapore","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":120,"n_turns_in_conversation":3,"n_words":2,"source_row_offset":43506,"source_shard":"turns-00012.parquet","timestamp":"Fri, 03 Nov 2023 14:01:43 GMT","turn_id":"c70c337aeaa2901d694048c4","turn_index":2,"user_text":"\u4ed6\u662f\u514d\u8d39\u7684\u561b"},{"assistant_initiates":false,"asst_text":"\u7b2c 1 \u4e2a\u95ee\u9898: \u64cd\u4f5c\u6b65\u9aa4\u4e2d\u65b0\u5efa\u6865\u67b6\u540e\u5bfc\u5165\u5230\u6784\u4ef6\u5e93\uff0c\u518d\u4ece\u6784\u4ef6\u5e93\u5bfc\u51fa\u65f6\uff0c\u7ed8\u5236\u51fa\u7684\u56fe\u5143\u89c4\u683c\u578b\u53f7\u4e0e\u5c5e\u6027\u5217\u8868\u4e2d\u89c4\u683c\u578b\u53f7\u4e0d\u4e00\u81f4\u3002\n\n\u7b2c 2 \u4e2a\u95ee\u9898: \u4ece\u6784\u4ef6\u5e93\u5bfc\u5165\u77e9\u5f62\u98ce\u7ba1\u540e\uff0c\u4fee\u6539\u5bbd\u5ea6\u65f6\u8f6f\u4ef6\u672a\u8054\u52a8\u8c03\u6574\u7ba1\u539a\u5ea6\u3002\n\n\u7b2c 3 \u4e2a\u95ee\u9898: \u5bfc\u5165GFC\u6a21\u578b\u65f6\uff0c\u5361\u5728\u5bfc\u5165\u4e24\u70b9\u8f85\u8f74\u6b65\u9aa4\uff0c\u65e0\u54cd\u5e94\u3002","behavior":"degenerate_repetition","conversation_hash":"354d57cafcf112a3c02202a68f66f21e","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":"Chinese","model":"gpt-3.5-turbo-0613","n_chars":418,"n_turns_in_conversation":1,"n_words":28,"source_row_offset":43507,"source_shard":"turns-00012.parquet","timestamp":"Fri, 03 Nov 2023 14:01:48 GMT","turn_id":"7e9a5d6b8578f331d7c15d5b","turn_index":0,"user_text":"\u6839\u636e\u4e0b\u9762\u7684\u95ee\u9898\u63cf\u8ff0\uff0c\u6574\u7406\u603b\u7ed3\u95ee\u9898\uff1a\n\n\u7b2c 1 \u4e2a\u95ee\u9898:\n1.\u64cd\u4f5c\u6b65\u9aa4\uff1a\u65b0\u5efa\u4e00\u4e2a800\u7684\u6865\u67b6\uff0c\u5c06\u5176\u5bfc\u5165\u5230\u6784\u4ef6\u5e93\u4e2d\uff0c\u518d\u4ece\u6784\u4ef6\u5e93\u5c06\u6b64\u6865\u67b6\u5bfc\u51fa\u5230\u6784\u4ef6\u5217\u8868\uff0c\u4f7f\u7528\u5bfc\u51fa\u7684\u8fd9\u4e2a\u6865\u67b6\u7ed8\u5236\u65f6\uff0c\u53d1\u73b0\u56fe\u5143\u89c4\u683c\u578b\u53f7\u4e0e\u5c5e\u6027\u5217\u8868\u91cc\u89c4\u683c\u578b\u53f7\u4e0d\u4e00\u81f4\u3002\n2 \u671f\u671b\u7ed3\u679c\uff1a\u671f\u671b\u6784\u4ef6\u5e93\u5bfc\u51fa\u7684\u6784\u4ef6\u7ed8\u5236\u51fa\u6765\u7684\u56fe\u5143\u4e0e\u89c4\u683c\u5c3a\u5bf8\u4e00\u81f4\u3002\n\u7b2c 2 \u4e2a\u95ee\u9898:\n1.\u6b65\u9aa4\u53ca\u7ed3\u679c\uff1a\u4ece\u6784\u4ef6\u5e93\u4e2d\u5bfc\u5165\u4e00\u4e2a800*150\u7684\u77e9\u5f62\u98ce\u7ba1\uff0c\u6b64\u65f6\u539a\u5ea6\u4e3a0.75\uff1b\u4fee\u6539\u6b64\u98ce\u7ba1\u5bbd\u5ea6\u4e3a1400\uff0c\u6b64\u65f6\u8f6f\u4ef6\u672c\u5e94\u8be5\u8054\u52a8\u7684\u5c06\u7ba1\u539a\u5ea6\u8c03\u6574\u4e3a1\uff0c\u4f46\u5b9e\u9645\u672a\u53d1\u751f\u8054\u52a8\u3002\n\n3.\u671f\u671b\u7ed3\u679c\uff1a\u53ef\u4ee5\u8054\u52a8\n\u7b2c 3 \u4e2a\u95ee\u9898:\n\u5bfc\u5165GFC\u6a21\u578b\uff0c100%\u5361\u5728\u5bfc\u5165\u4e24\u70b9\u8f85\u8f74\uff0830\u5206\u949f\u65e0\u54cd\u5e94\uff09"},{"assistant_initiates":false,"asst_text":"/imagine prompt: majestic eagle, with wide outstretched wings, soaring through a clear blue sky, sunlight illuminating its feathery details, against a backdrop of snow-capped mountains, capturing its strength and grace, in a style reminiscent of National Geographic wildlife photography. --ar 16:9 --v 5.2\n\n/imagine prompt: colorful parrot, vibrant feathers with intricate patterns, perched on a lush tropical branch, surrounded by lush green foliage and exotic flowers, with a cascading waterfall in the background, capturing its playful and tropical essence, in a style reminiscent of Henri Rousseau's jungle paintings. --ar 9:16 --v 5\n\n/imagine prompt: a curious hummingbird, hovering mid-air, its wings a blur of rapid movement, drinking nectar from a vibrant red hibiscus flower, with sun rays filtering through the leaves, creating a magical and ethereal atmosphere, captured with a macro lens, emphasizing the tiny details and intricate beauty, in a style reminiscent of a dreamlike watercolor painting. --ar 1:1 --v 5.2\n\n/imagine prompt: a flock of seagulls, gracefully gliding over a serene beach at sunset, their wings reflecting the warm hues of the sky, waves gently crashing on the shore, as if in harmony with their flight, capturing a sense of tranquility and freedom, in a style reminiscent of impressionist oil paintings. --ar 16:9 --v 5","behavior":"degenerate_repetition","conversation_hash":"6487efc93d076407c5b9f8efb1a576de","conversation_redacted":false,"conversation_toxic":false,"country":"Germany","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":5147,"n_turns_in_conversation":1,"n_words":657,"source_row_offset":43508,"source_shard":"turns-00012.parquet","timestamp":"Fri, 03 Nov 2023 14:01:57 GMT","turn_id":"1ad9484c420fe02111e731c5","turn_index":0,"user_text":"\n                            As a prompt generator for a generative AI called \"Midjourney\", you will create image prompts for the AI to visualize. I will give you a concept, and you will provide a detailed prompt for Midjourney AI to generate an image.\n                            \n                            Please adhere to the structure and formatting below, and follow these guidelines:\n                            \n                            Do not use the words \"description\" or \":\" in any form.\n                            Do not place a comma between [ar] and [v].\n                            Write each prompt in one line without using return.\n                            Structure:\n                            [1] = bird\n                            [2] = a detailed description of [1] with specific imagery details.\n                            [3] = a detailed description of the scene's environment.\n                            [4] = a detailed description of the compositions.\n                            [5] = a detailed description of the scene's mood, feelings, and atmosphere.\n                            [6] = A style (e.g. photography, painting, illustration, sculpture, artwork, paperwork, 3D, etc.) for [1].\n                            [7] =  a detailed description of the scene's mood, feelings, and atmosphere.\n                            [ar] = Use \"--ar 16:9\" for horizontal images, \"--ar 9:16\" for vertical images, or \"--ar 1:1\" for square images.\n                            [v] = Use \"--niji\" for Japanese art style, or \"--v 5\" for other styles.\n                            \n                            \n                            Formatting:\n                            Follow this prompt structure: \"/imagine prompt: [1], [2], [3], [4], [5], [6], [7], [ar] [v]\".\n                            \n                            Your task: Create 4 distinct prompts for each concept [1], varying in details description, environment,compositions,atmosphere, and realization.\n                            \n                            Write your prompts in english.\n                            Do not describe unreal concepts as \"real\" or \"photographic\".\n                            Include one realistic photographic style prompt with lens type and size.\n                            Separate different prompts with two new lines.\n                            Example Prompts:\n                            \n                            /imagine prompt: cute dog, fluffy fur, wagging tail, playful expression, sitting on a grassy field, under a clear blue sky, with a colorful collar, in a natural and vibrant setting, by a lake, captured with a Nikon D750 camera, 50mm lens, shallow depth of field, composition focused on the dog's face, capturing its joyful spirit, in a style reminiscent of William Wegman's iconic dog portraits. --ar 1:1 --v 5.2\n                            /imagine prompt: beautiful women in the coffee shop, elegant and sophisticated, sipping a cup of steaming coffee, natural sunlight streaming through the window, soft and warm color tones, vintage decor with cozy armchairs and wooden tables, a bookshelf filled with classic novels, delicate porcelain teacups, a hint of aromatic coffee beans in the air, captured by a Leica M10 camera, 35mm lens, capturing the essence of timeless beauty, composition focused on the woman's face and hands, reminiscent of a painting by Leonardo da Vinci. --ar 1:1 --v 5.2\n                            /imagine prompt: A captivating Halo Reach landscape with a Spartan amidst a battlefield, fallen enemies around, smoke and fire in the background, emphasizing the Spartan's determination and bravery, detailed environment blending chaos and beauty, Illustration, digital art, --ar 16:9 --v 5\n                                                        "},{"assistant_initiates":false,"asst_text":"\u0414\u043b\u044f \u0441\u043e\u043f\u0440\u043e\u0432\u043e\u0436\u0434\u0435\u043d\u0438\u044f \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0433\u043e \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f \u043c\u043e\u0436\u043d\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b:\n\n1. \u0414\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u044b UML: UML (Unified Modeling Language) \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0435 \u0442\u0438\u043f\u044b \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c, \u0442\u0430\u043a\u0438\u0435 \u043a\u0430\u043a \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u044b \u043a\u043b\u0430\u0441\u0441\u043e\u0432, \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u044b \u043f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438, \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u044b \u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u043e\u0432 \u0438 \u0434\u0440\u0443\u0433\u0438\u0435, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043c\u043e\u0433\u0443\u0442 \u0431\u044b\u0442\u044c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u044b \u0434\u043b\u044f \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0433\u043e \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f.\n\n2. CASE-\u0441\u0440\u0435\u0434\u0441\u0442\u0432\u0430: CASE (Computer-Aided Software Engineering) - \u044d\u0442\u043e \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u044b\u0435 \u0441\u0440\u0435\u0434\u0441\u0442\u0432\u0430, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043f\u043e\u043c\u043e\u0433\u0430\u044e\u0442 \u0440\u0430\u0437\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u0442\u044c, \u043c\u043e\u0434\u0438\u0444\u0438\u0446\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0438 \u0441\u043e\u043f\u0440\u043e\u0432\u043e\u0436\u0434\u0430\u0442\u044c \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0435 \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u0435. \u041e\u043d\u0438 \u043c\u043e\u0433\u0443\u0442 \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u0434\u043b\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u0438 \u0440\u0435\u0434\u0430\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c UML, \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0438 \u043f\u0440\u043e\u0432\u0435\u0440\u043a\u0438 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b, \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f\u043c\u0438 \u0438 \u0442. \u0434. \u041f\u0440\u0438\u043c\u0435\u0440\u044b CASE-\u0441\u0440\u0435\u0434\u0441\u0442\u0432 \u0432\u043a\u043b\u044e\u0447\u0430\u044e\u0442 Rational Rose, Enterprise Architect, ArgoUML \u0438 \u0434\u0440.\n\n3. \u041c\u0435\u0442\u0440\u0438\u043a\u0438 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b: \u042d\u0442\u043e \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043f\u043e\u043c\u043e\u0433\u0430\u044e\u0442 \u0438\u0437\u043c\u0435\u0440\u044f\u0442\u044c \u0438 \u0430\u043d\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u043e \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0433\u043e \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f. \u041c\u0435\u0442\u0440\u0438\u043a\u0438 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b \u043c\u043e\u0433\u0443\u0442 \u0432\u043a\u043b\u044e\u0447\u0430\u0442\u044c \u0442\u0430\u043a\u0438\u0435 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u044b, \u043a\u0430\u043a \u0441\u0432\u044f\u0437\u043d\u043e\u0441\u0442\u044c, \u0441\u043b\u043e\u0436\u043d\u043e\u0441\u0442\u044c, \u043c\u043e\u0434\u0443\u043b\u044c\u043d\u043e\u0441\u0442\u044c, \u043d\u0430\u0434\u0435\u0436\u043d\u043e\u0441\u0442\u044c \u0438 \u0434\u0440. \u041f\u0440\u0438\u043c\u0435\u0440\u044b \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u043e\u0432 \u043c\u0435\u0442\u0440\u0438\u043a \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b - SonarQube, CAST AIP \u0438 \u0434\u0440.\n\n4. \u0418\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u043a\u043e\u0434\u0430: \u042d\u0442\u043e \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0442 \u0430\u043d\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0438 \u043f\u0440\u043e\u0432\u0435\u0440\u044f\u0442\u044c \u043a\u043e\u0434 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0433\u043e \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f \u043d\u0430 \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0438\u0435 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u043d\u044b\u043c \u043f\u0440\u0430\u0432\u0438\u043b\u0430\u043c \u0438 \u0441\u0442\u0430\u043d\u0434\u0430\u0440\u0442\u0430\u043c. \u041e\u043d\u0438 \u043c\u043e\u0433\u0443\u0442 \u043f\u043e\u043c\u043e\u0447\u044c \u0432\u044b\u044f\u0432\u0438\u0442\u044c \u043f\u043e\u0442\u0435\u043d\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0435 \u043f\u0440\u043e\u0431\u043b\u0435\u043c\u044b, \u0442\u0430\u043a\u0438\u0435 \u043a\u0430\u043a \u043d\u0430\u0440\u0443\u0448\u0435\u043d\u0438\u0435 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u043d\u044b\u0445 \u0440\u0435\u0448\u0435\u043d\u0438\u0439, \u0434\u0443\u0431\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u043a\u043e\u0434\u0430, \u043e\u0442\u0441\u0443\u0442\u0441\u0442\u0432\u0438\u0435 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u0438 \u0438 \u0434\u0440\u0443\u0433\u0438\u0435. \u041f\u0440\u0438\u043c\u0435\u0440\u044b \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u043e\u0432 \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u043a\u043e\u0434\u0430 - SonarQube, Checkstyle, FindBugs \u0438 \u0434\u0440.\n\n5. \u0413\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0440\u0435\u0434\u0430\u043a\u0442\u043e\u0440\u044b: \u042d\u0442\u043e \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0442 \u0441\u043e\u0437\u0434\u0430\u0432\u0430\u0442\u044c \u0438 \u0440\u0435\u0434\u0430\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u044b, \u0442\u0430\u043a\u0438\u0435 \u043a\u0430\u043a \u0431\u043b\u043e\u043a-\u0441\u0445\u0435\u043c\u044b, \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u044b \u043f\u043e\u0442\u043e\u043a\u043e\u0432 \u0434\u0430\u043d\u043d\u044b\u0445 \u0438 \u0434\u0440\u0443\u0433\u0438\u0435. \u041e\u043d\u0438 \u043c\u043e\u0433\u0443\u0442 \u0431\u044b\u0442\u044c \u043f\u043e\u043b\u0435\u0437\u043d\u044b \u0434\u043b\u044f \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \u0438 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0433\u043e \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f. \u041f\u0440\u0438\u043c\u0435\u0440\u044b \u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0440\u0435\u0434\u0430\u043a\u0442\u043e\u0440\u043e\u0432 - draw.io, Microsoft Visio \u0438 \u0434\u0440.\n\n6. \u0418\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b \u0434\u043b\u044f \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0432\u0435\u0440\u0441\u0438\u044f\u043c\u0438: \u042d\u0442\u043e \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0442 \u0443\u043f\u0440\u0430\u0432\u043b\u044f\u0442\u044c \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u044f\u043c\u0438 \u0438 \u0432\u0435\u0440\u0441\u0438\u044f\u043c\u0438 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0433\u043e \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f. \u041e\u043d\u0438 \u043c\u043e\u0433\u0443\u0442 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u0434\u043b\u044f \u043e\u0442\u0441\u043b\u0435\u0436\u0438\u0432\u0430\u043d\u0438\u044f \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u0439, \u0441\u043e\u0432\u043c\u0435\u0441\u0442\u043d\u043e\u0439 \u0440\u0430\u0431\u043e\u0442\u044b \u0438 \u0432\u043e\u0441\u0441\u0442\u0430\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u044f \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0438\u0445 \u0432\u0435\u0440\u0441\u0438\u0439. \u041f\u0440\u0438\u043c\u0435\u0440\u044b \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u043e\u0432 \u0434\u043b\u044f \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0432\u0435\u0440\u0441\u0438\u044f\u043c\u0438 - Git, Subversion, Mercurial \u0438 \u0434\u0440.\n\n7. \u0418\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b \u0434\u043b\u044f \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f: \u042d\u0442\u043e \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043f\u043e\u043c\u043e\u0433\u0430\u044e\u0442 \u0441\u043e\u0437\u0434\u0430\u0432\u0430\u0442\u044c \u0438 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0442\u044c \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u044e \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0433\u043e \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f. \u041e\u043d\u0438 \u043c\u043e\u0433\u0443\u0442 \u0432\u043a\u043b\u044e\u0447\u0430\u0442\u044c \u0448\u0430\u0431\u043b\u043e\u043d\u044b, \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0443\u044e \u0433\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u044e \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u0438, \u0438\u043d\u0442\u0435\u0433\u0440\u0430\u0446\u0438\u044e \u0441 \u0434\u0440\u0443\u0433\u0438\u043c\u0438 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u043c\u0438 \u0438 \u0434\u0440\u0443\u0433\u0438\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u0438. \u041f\u0440\u0438\u043c\u0435\u0440\u044b \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u043e\u0432 \u0434\u043b\u044f \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f - Confluence, Doxygen, Javadoc \u0438 \u0434\u0440.","behavior":"degenerate_repetition","conversation_hash":"dbd76d4882ddc14159d43c88d12d7dd5","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":2569,"n_turns_in_conversation":3,"n_words":299,"source_row_offset":43509,"source_shard":"turns-00012.parquet","timestamp":"Fri, 03 Nov 2023 14:02:44 GMT","turn_id":"a0ce627a957dadf5fdacf40f","turn_index":0,"user_text":"\u043a\u0430\u043a\u0438\u0435 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b \u043c\u043e\u0436\u043d\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0434\u043b\u044f \u0441\u043e\u043f\u0440\u043e\u0432\u043e\u0436\u0434\u0435\u043d\u0438\u044f \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0433\u043e \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f"},{"assistant_initiates":false,"asst_text":"\u0421\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u0435\u0442 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0442\u0438\u043f\u043e\u0432 \u041a\u041c\u041e\u041f (\u043a\u043e\u043c\u043f\u043b\u0435\u043c\u0435\u043d\u0442\u0430\u0440\u043d\u043e-\u043c\u0435\u0442\u0430\u043b\u043b-\u043e\u043a\u0441\u0438\u0434-\u043f\u043e\u043b\u0443\u043f\u0440\u043e\u0432\u043e\u0434\u043d\u0438\u043a) \u0441\u0445\u0435\u043c, \u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, NAND, NOR, XOR, \u0438 \u0442. \u0434. \u041a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0442\u0440\u0430\u043d\u0437\u0438\u0441\u0442\u043e\u0440\u043e\u0432 \u0432 \u0441\u0445\u0435\u043c\u0430\u0445 \u043c\u043e\u0436\u0435\u0442 \u0432\u0430\u0440\u044c\u0438\u0440\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u0432 \u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e\u0441\u0442\u0438 \u043e\u0442 \u0435\u0435 \u043b\u043e\u0433\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0444\u0443\u043d\u043a\u0446\u0438\u0438.\n\n\u041d\u0430\u0438\u043c\u0435\u043d\u044c\u0448\u0435\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0442\u0440\u0430\u043d\u0437\u0438\u0441\u0442\u043e\u0440\u043e\u0432 \u0443 \u041a\u041c\u041e\u041f-\u0441\u0445\u0435\u043c\u044b \u0431\u0443\u0434\u0435\u0442 \u0443 NOT-\u0441\u0445\u0435\u043c\u044b (\u0438\u043d\u0432\u0435\u0440\u0442\u043e\u0440\u0430). NOT-\u0441\u0445\u0435\u043c\u0430 \u0441\u043e\u0441\u0442\u043e\u0438\u0442 \u0438\u0437 \u043e\u0434\u043d\u043e\u0433\u043e \u0442\u0440\u0430\u043d\u0437\u0438\u0441\u0442\u043e\u0440\u0430 \u0438 \u043e\u0434\u043d\u043e\u0433\u043e \u0440\u0435\u0437\u0438\u0441\u0442\u043e\u0440\u0430 \u0438 \u043c\u043e\u0436\u0435\u0442 \u0431\u044b\u0442\u044c \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0430 \u043a\u0430\u043a \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e \u043d\u0438\u0436\u0435:\n\n```\n      _____\nIN --|     |\n     | NOT |\nGND --|_____|\n```\n\n\u042d\u0442\u0430 \u0441\u0445\u0435\u043c\u0430 \u0438\u043c\u0435\u0435\u0442 \u043e\u0434\u0438\u043d \u0432\u0445\u043e\u0434 \u0438 \u043e\u0434\u0438\u043d \u0432\u044b\u0445\u043e\u0434 \u0438 \u0441\u043e\u0441\u0442\u043e\u0438\u0442 \u0442\u043e\u043b\u044c\u043a\u043e \u0438\u0437 \u043e\u0434\u043d\u043e\u0433\u043e \u0442\u0440\u0430\u043d\u0437\u0438\u0441\u0442\u043e\u0440\u0430, \u0447\u0442\u043e \u0434\u0435\u043b\u0430\u0435\u0442 \u0435\u0435 \u0441\u0445\u0435\u043c\u043e\u0439 \u0441 \u043d\u0430\u0438\u043c\u0435\u043d\u044c\u0448\u0438\u043c \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e\u043c \u0442\u0440\u0430\u043d\u0437\u0438\u0441\u0442\u043e\u0440\u043e\u0432 \u043f\u0440\u0438 \u043e\u0434\u0438\u043d\u0430\u043a\u043e\u0432\u043e\u043c \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u0435 \u0432\u0445\u043e\u0434\u043e\u0432.","behavior":"degenerate_repetition","conversation_hash":"dbd76d4882ddc14159d43c88d12d7dd5","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":725,"n_turns_in_conversation":3,"n_words":98,"source_row_offset":43510,"source_shard":"turns-00012.parquet","timestamp":"Fri, 03 Nov 2023 14:02:44 GMT","turn_id":"5332449c7468203e6657d8e2","turn_index":1,"user_text":"\u043a\u0430\u043a\u0430\u044f \u0438\u0437 \u043a\u043c\u043e\u043f-\u0441\u0445\u0435\u043c \u0441\u043e\u0441\u0442\u043e\u0438\u0442 \u0438\u0437 \u043d\u0430\u0438\u043c\u0435\u043d\u044c\u0448\u0435\u0433\u043e \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u0430 \u0442\u0440\u0430\u043d\u0437\u0438\u0441\u0442\u043e\u0440\u043e\u0432 \u043f\u0440\u0438 \u043e\u0434\u0438\u043d\u0430\u043a\u043e\u0432\u043e\u043c \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u0435 \u0432\u0445\u043e\u0434\u043e\u0432"}],"shard":{"index":12,"name":"turns-00012.parquet","rows":71948}}