{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":42239,"offset":42229,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"\u0414\u0430, \u044f \u043f\u043e\u043d\u0438\u043c\u0430\u044e, \u0447\u0442\u043e \u043f\u043e\u0440\u044f\u0434\u043e\u043a \u0442\u043e\u0447\u0435\u043a \u043d\u0430 \u043a\u0440\u0438\u0432\u043e\u0439 \u0434\u043e\u043b\u0436\u0435\u043d \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u043e\u0432\u0430\u0442\u044c \u043b\u043e\u0433\u0438\u043a\u0435 \u043f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u0437\u0430\u0434\u0430\u043d\u0430 \u0441\u0441\u044b\u043b\u043a\u0430\u043c\u0438 (`links`) \u0432 \u0432\u0430\u0448\u0435\u043c XML. \u0422\u043e \u0435\u0441\u0442\u044c \u043f\u0435\u0440\u0435\u043c\u0435\u0449\u0435\u043d\u0438\u0435 \u0442\u043e\u0447\u0435\u043a \u043c\u0435\u0436\u0434\u0443 \u043a\u0440\u0438\u0432\u044b\u043c\u0438 \u0434\u043e\u043b\u0436\u043d\u043e \u0443\u0447\u0438\u0442\u044b\u0432\u0430\u0442\u044c \u043d\u0435 \u043f\u0440\u043e\u0441\u0442\u043e \u0447\u0438\u0441\u043b\u043e\u0432\u043e\u0439 \u043f\u043e\u0440\u044f\u0434\u043e\u043a `gate_`, \u0430 \u0438\u043c\u0435\u043d\u043d\u043e \u0442\u0443 \u043f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c, \u043a\u043e\u0442\u043e\u0440\u0443\u044e \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u044e\u0442 `link` \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u044b.\n\n### \u041a\u043e\u0440\u0440\u0435\u043a\u0442\u043d\u044b\u0439 \u043f\u043e\u0434\u0445\u043e\u0434\n\n1. **\u041e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u043f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u0442\u043e\u0447\u0435\u043a:**\n   - \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0439\u0442\u0435 `links` \u0438\u0437 XML, \u0447\u0442\u043e\u0431\u044b \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u043f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c `gate`, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u0435\u0442 \u043f\u043e\u0440\u044f\u0434\u043e\u043a, \u0432 \u043a\u043e\u0442\u043e\u0440\u043e\u043c \u0442\u043e\u0447\u043a\u0438 \u0434\u043e\u043b\u0436\u043d\u044b \u0431\u044b\u0442\u044c \u0440\u0430\u0441\u043f\u043e\u043b\u043e\u0436\u0435\u043d\u044b \u043d\u0430 \u043a\u0440\u0438\u0432\u043e\u0439. \u042d\u0442\u043e \u043f\u043e\u043c\u043e\u0436\u0435\u0442 \u0441\u043e\u0445\u0440\u0430\u043d\u0438\u0442\u044c \u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u0443\u044e \u043b\u043e\u0433\u0438\u0447\u0435\u0441\u043a\u0443\u044e \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0443 \u0442\u0440\u0430\u0441\u0441\u044b.\n\n2. **\u041f\u0435\u0440\u0435\u043d\u043e\u0441 \u0441 \u0443\u0447\u0451\u0442\u043e\u043c \u043f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438:**\n   - \u041f\u0435\u0440\u0435\u043c\u0435\u0449\u0430\u0439\u0442\u0435 \u0442\u043e\u0447\u043a\u0438 \u0442\u0430\u043a, \u0447\u0442\u043e\u0431\u044b \u043e\u043d\u0438 \u043d\u0430 \u043d\u043e\u0432\u043e\u0439 \u043a\u0440\u0438\u0432\u043e\u0439 \u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043b\u0438 \u0432 \u0442\u043e\u0447\u043d\u043e\u043c \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0438\u0438 \u0441 \u044d\u0442\u043e\u0439 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0451\u043d\u043d\u043e\u0439 \u043f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c\u044e.\n\n\u0412\u043e\u0442 \u043f\u0440\u0438\u043c\u0435\u0440, \u043a\u0430\u043a \u044d\u0442\u043e \u043c\u043e\u0436\u043d\u043e \u0441\u0434\u0435\u043b\u0430\u0442\u044c:\n\n#### \u0418\u0437\u0432\u043b\u0435\u0447\u0435\u043d\u0438\u0435 \u043f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u0438\u0437 `links`\n\n```python\ndef extract_gate_sequence(links):\n    gate_sequence = []\n    seen_gates = set()\n    \n    for link in links:\n        from_gate = int(link.get('from_gate'))\n        to_gate = int(link.get('to_gate'))\n        \n        if from_gate not in seen_gates:\n            gate_sequence.append(from_gate)\n            seen_gates.add(from_gate)\n        \n        if to_gate not in seen_gates:\n            gate_sequence.append(to_gate)\n            seen_gates.add(to_gate)\n        \n    return gate_sequence\n```\n\n#### \u041f\u0435\u0440\u0435\u043d\u043e\u0441 \u0442\u043e\u0447\u0435\u043a \u043d\u0430 \u043d\u043e\u0432\u0443\u044e \u043a\u0440\u0438\u0432\u0443\u044e \u0441 \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u0435\u043c \u043f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438\n\n```python\ndef map_points_to_new_curve_with_sequence(original_curve, new_curve, gate_sequence):\n    length_original = calculate_curve_length([original_curve[i] for i in gate_sequence])\n    length_new = calculate_curve_length(new_curve)\n    \n    mapped_positions = []\n    accumulated_length = 0.0\n\n    for i, gate_index in enumerate(gate_sequence):\n        if i > 0:\n            prev_gate_index = gate_sequence[i - 1]\n            point_a = original_curve[prev_gate_index].co\n            point_b = original_curve[gate_index].co\n            segment_length = math.sqrt((point_b.x - point_a.x) ** 2 +\n                                       (point_b.y - point_a.y) ** 2 +\n                                       (point_b.z - point_a.z) ** 2)\n            accumulated_length += segment_length\n\n        relative_position = accumulated_length / length_original\n        mapped_position_in_new = relative_position * length_new\n\n        current_new_length = 0.0\n        for j in range(len(new_curve) - 1):\n            start_point = new_curve[j].co\n            end_point = new_curve[j + 1].co\n\n            segment_length = math.sqrt((end_point.x - start_point.x) ** 2 +\n                                       (end_point.y - start_point.y) ** 2 +\n                                       (end_point.z - start_point.z) ** 2)\n\n            if current_new_length + segment_length >= mapped_position_in_new:\n                ratio_in_segment = (mapped_position_in_new - current_new_length) / segment_length\n                new_x = start_point.x + (end_point.x - start_point.x) * ratio_in_segment\n                new_y = start_point.y + (end_point.y - start_point.y) * ratio_in_segment\n                new_z = start_point.z + (end_point.z - start_point.z) * ratio_in_segment\n                mapped_positions.append((new_x, new_y, new_z))\n                break\n            current_new_length += segment_length\n\n    return mapped_positions\n```\n\n#### \u041f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u0435\n\n1. \u041f\u043e\u043b\u0443\u0447\u0438\u0442\u0435 `links` \u0438\u0437 XML \u0438 \u0438\u0437\u0432\u043b\u0435\u043a\u0438\u0442\u0435 \u0438\u0437 \u043d\u0438\u0445 \u043f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c `gate_sequence`.\n2. \u0418\u043d\u0442\u0435\u0440\u043f\u043e\u043b\u0438\u0440\u0443\u0439\u0442\u0435 \u0442\u043e\u0447\u043a\u0438 \u0438\u0437 \u0438\u0441\u0445\u043e\u0434\u043d\u043e\u0439 \u043a\u0440\u0438\u0432\u043e\u0439 \u043d\u0430 \u043d\u043e\u0432\u0443\u044e, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u043f\u043e\u0440\u044f\u0434\u043e\u043a \u0438\u0437 `gate_sequence`.\n3. \u041e\u0431\u043d\u043e\u0432\u0438\u0442\u0435 \u043e\u0431\u044a\u0435\u043a\u0442\u044b \u0432 Blender \u0441 \u0443\u0447\u0451\u0442\u043e\u043c \u043d\u043e\u0432\u044b\u0445 \u043f\u043e\u0437\u0438\u0446\u0438\u0439.\n\n```python\n# \u041f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043a\u0430 \u0434\u0430\u043d\u043d\u044b\u0445\nlinks = ... # \u0412\u0430\u0448\u0435 \u0438\u0437\u0432\u043b\u0435\u0447\u0435\u043d\u0438\u0435 links \u0438\u0437 XML\ngate_sequence = extract_gate_sequence(links)\noriginal_points = bpy.data.objects[\"Track_Line\"].data.splines[0].bezier_points\nnew_curve_points = bpy.data.objects[\"<Your_New_Curve_Name>\"].data.splines[0].bezier_points\n\n# \u041f\u0435\u0440\u0435\u043c\u0435\u0449\u0435\u043d\u0438\u0435 \u0442\u043e\u0447\u0435\u043a\nmapped_positions = map_points_to_new_curve_with_sequence(original_points, new_curve_points, gate_sequence)\n\n# \u041e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0435 \u043f\u043e\u0437\u0438\u0446\u0438\u0439 \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432 \u0432 \u0441\u0446\u0435\u043d\u0435\nfor i, new_pos in enumerate(mapped_positions):\n    gate_objects[gate_sequence[i]].location = new_pos\n```\n\n\u042d\u0442\u043e\u0442 \u043f\u043e\u0434\u0445\u043e\u0434 \u0433\u0430\u0440\u0430\u043d\u0442\u0438\u0440\u0443\u0435\u0442, \u0447\u0442\u043e \u043d\u0430 \u043d\u043e\u0432\u043e\u0439 \u043a\u0440\u0438\u0432\u043e\u0439 \u0441\u043e\u0445\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u0442\u0430 \u0436\u0435 \u043b\u043e\u0433\u0438\u0447\u0435\u0441\u043a\u0430\u044f \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0430 \u043f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u0442\u043e\u0447\u0435\u043a, \u0447\u0442\u043e \u0438 \u043d\u0430 \u0438\u0441\u0445\u043e\u0434\u043d\u043e\u0439, \u043d\u0435\u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e \u043e\u0442 \u043d\u043e\u043c\u0435\u0440\u043e\u0432 `gate_`.","behavior":"degenerate_repetition","conversation_hash":"f688485f7e24d9b2bf62c2f446b22d10","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-4o-2024-08-06","n_chars":4445,"n_turns_in_conversation":6,"n_words":433,"source_row_offset":42229,"source_shard":"turns-00041.parquet","timestamp":"Wed, 30 Oct 2024 22:31:41 GMT","turn_id":"6920f0a3e0ed40399cdd6cb7","turn_index":5,"user_text":"\u0422\u043e-\u0435\u0441\u0442\u044c, \u0442\u044b \u043f\u043e\u043d\u0438\u043c\u0430\u0435\u0448\u044c, \u0447\u0442\u043e \u043a\u043e\u0433\u0434\u0430 \u043c\u044b \u043f\u0435\u0440\u0435\u043d\u043e\u0441\u0438\u043c \u043d\u0430 \u043d\u043e\u0432\u0443\u044e \u0431\u0435\u0437\u044c\u0435, \u043d\u0435\u043b\u044c\u0437\u044f \u0437\u0430\u043a\u0438\u043d\u0443\u0442\u044c gate_60 \u0438 gate_266 \u043f\u0440\u043e\u0441\u0442\u043e \u0441\u043e\u0433\u043b\u0430\u0441\u043d\u043e \u043f\u043e\u0440\u044f\u0434\u043a\u0443 \u0432\u043e\u0437\u0440\u0430\u0441\u0442\u0430\u043d\u0438\u044f, \u044d\u0442\u043e \u043d\u0435\u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u043e"},{"assistant_initiates":false,"asst_text":"Hello! I'm just a program, so I don't have feelings, but I'm here and ready to help you with whatever you need. How can I assist you today?","behavior":"degenerate_repetition","conversation_hash":"c81e556a6b157e471a5a625627d94323","conversation_redacted":false,"conversation_toxic":false,"country":"South Korea","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":156,"n_turns_in_conversation":1,"n_words":32,"source_row_offset":42230,"source_shard":"turns-00041.parquet","timestamp":"Wed, 30 Oct 2024 22:31:48 GMT","turn_id":"ec206292bdc7849ba422bdff","turn_index":0,"user_text":"hi, how are you?"},{"assistant_initiates":false,"asst_text":"Demi Lovato has faced significant challenges throughout her life, including a well-documented battle with alcohol addiction. Growing up in a family with a history of substance abuse, Demi\u2019s struggles were compounded by mental health disorders, which heightened her vulnerability. Her career as a pop star took off early, and with the fame came immense pressure. This environment contributed to her reliance on alcohol as a coping mechanism. In 2018, she suffered a near-fatal overdose, a moment that underscored the severity of her addiction. This incident was a wake-up call for her and spurred a renewed commitment to recovery. Demi has been open about her journey, sharing details of her treatment and the importance of mental health awareness. She has also been an advocate for others battling similar issues, using her platform to educate and inspire. Her story is one of resilience, as she continues to navigate the complexities of fame alongside her recovery. The struggles she faced serve as a reminder of the ongoing battle many face with addiction and mental health. \n\nReply finished","behavior":"degenerate_repetition","conversation_hash":"1adc605ca9564e0b8b64424d0cad77c7","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-4o-mini-2024-07-18","n_chars":3483,"n_turns_in_conversation":1,"n_words":524,"source_row_offset":42231,"source_shard":"turns-00041.parquet","timestamp":"Wed, 30 Oct 2024 22:31:49 GMT","turn_id":"7588bab397da2002c80a55f3","turn_index":0,"user_text":"Create a long detailed text about music_artist Demi Lovato with the following summary. The title of the video is\"10 Worst Alcoholic Actresses in Hollywood History, here goes my vote..\". Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Demi Lovato] Summary: [Grammy-nominated pop star shared battle with alcohol addiction, overdose, and recovery journey, influenced by family history and mental health disorders.]\n\n            Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks. \n            In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.\n            Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response.\n            Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. \n            The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. \n            Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. \n            It is very important to provide only the final output without any additional comments or remarks. \n            Please provide the text directly without any labels such as \"Conclusion:\", \"Introduction:\", or \"Transition:\". Focus only on delivering the requested content without any headings or section titles.\n            Please respond to my question, and always conclude your reply with the words \"Reply finished\" to indicate that your response is complete. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}\n         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you."},{"assistant_initiates":false,"asst_text":"Hi! I'm just a program, so I don't have feelings, but I'm here and ready to help you. How can I assist you today?","behavior":"degenerate_repetition","conversation_hash":"886457fa37476fe0e8e3c254346d20c7","conversation_redacted":false,"conversation_toxic":false,"country":"","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-mini-2024-07-18","n_chars":130,"n_turns_in_conversation":1,"n_words":28,"source_row_offset":42232,"source_shard":"turns-00041.parquet","timestamp":"Wed, 30 Oct 2024 22:31:49 GMT","turn_id":"4a597c044d839522fe4d8244","turn_index":0,"user_text":"hi, how are you?"},{"assistant_initiates":false,"asst_text":"irr","behavior":"degenerate_repetition","conversation_hash":"05262dc3437a45a7964f2ff5da729730","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-4o-2024-08-06","n_chars":916,"n_turns_in_conversation":1,"n_words":149,"source_row_offset":42233,"source_shard":"turns-00041.parquet","timestamp":"Wed, 30 Oct 2024 22:31:52 GMT","turn_id":"4c840679aafea4317f122734","turn_index":0,"user_text":"System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:\npbr: state a concrete problem related to a software product or service\ninq: asks for either new functionality, an improvement, or requests information for support\nirr: it does not belong to problem reports or inquires\nUser: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:\npbr: state a concrete problem related to a software product or service\ninq: asks for either new functionality, an improvement, or requests information for support\nirr: it does not belong to problem reports or inquires\nDoes the author's intention in this app review relate to a pbr or inq or irr?\nreview: Craig - thanks. Resolved. Best customer services experience with MyTeleC to date.'\nintention: '\nAssistant:"},{"assistant_initiates":false,"asst_text":"Hello! I'm just a computer program, so I don't have feelings, but I'm here to help you. How can I assist you today?","behavior":"degenerate_repetition","conversation_hash":"1fde7e0eab5227c1096e48e2481f204a","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":"English","model":"gpt-4o-2024-08-06","n_chars":132,"n_turns_in_conversation":1,"n_words":27,"source_row_offset":42234,"source_shard":"turns-00041.parquet","timestamp":"Wed, 30 Oct 2024 22:31:58 GMT","turn_id":"83f725bd50711aa9e277fad5","turn_index":0,"user_text":"hi, how are you?"},{"assistant_initiates":false,"asst_text":"Hello! I'm just a program, so I don't have feelings, but I'm here and ready to help you. How can I assist you today?","behavior":"degenerate_repetition","conversation_hash":"f8b9bdd831a4a6c624a33669df4485a9","conversation_redacted":false,"conversation_toxic":false,"country":"Thailand","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-mini-2024-07-18","n_chars":133,"n_turns_in_conversation":1,"n_words":28,"source_row_offset":42235,"source_shard":"turns-00041.parquet","timestamp":"Wed, 30 Oct 2024 22:31:59 GMT","turn_id":"d2d6ad696d9009b646a3b2f6","turn_index":0,"user_text":"hi, how are you?"},{"assistant_initiates":false,"asst_text":"pbr","behavior":"degenerate_repetition","conversation_hash":"a2d7fc21b74402f4a2ad23aeb32753e0","conversation_redacted":false,"conversation_toxic":false,"country":"India","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":977,"n_turns_in_conversation":1,"n_words":159,"source_row_offset":42236,"source_shard":"turns-00041.parquet","timestamp":"Wed, 30 Oct 2024 22:32:00 GMT","turn_id":"813de86877db661df839ccdc","turn_index":0,"user_text":"System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:\npbr: state a concrete problem related to a software product or service\ninq: asks for either new functionality, an improvement, or requests information for support\nirr: it does not belong to problem reports or inquires\nUser: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:\npbr: state a concrete problem related to a software product or service\ninq: asks for either new functionality, an improvement, or requests information for support\nirr: it does not belong to problem reports or inquires\nDoes the author's intention in this app review relate to a pbr or inq or irr?\nreview: Thanks Suzi trying to access MyTeleC UK site to check upgrade eligibility as having WIFI issues with current iPhone whilst travelling overseas'\nintention: '\nAssistant:"},{"assistant_initiates":false,"asst_text":"irr","behavior":"degenerate_repetition","conversation_hash":"2f7358f4c0d91d5bcf709976354d0e94","conversation_redacted":false,"conversation_toxic":false,"country":"","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":870,"n_turns_in_conversation":1,"n_words":144,"source_row_offset":42237,"source_shard":"turns-00041.parquet","timestamp":"Wed, 30 Oct 2024 22:32:17 GMT","turn_id":"7ff7ca0fb9e66e0ee06b234e","turn_index":0,"user_text":"System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:\npbr: state a concrete problem related to a software product or service\ninq: asks for either new functionality, an improvement, or requests information for support\nirr: it does not belong to problem reports or inquires\nUser: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:\npbr: state a concrete problem related to a software product or service\ninq: asks for either new functionality, an improvement, or requests information for support\nirr: it does not belong to problem reports or inquires\nDoes the author's intention in this app review relate to a pbr or inq or irr?\nreview: Iv messaged the right place I think'\nintention: '\nAssistant:"},{"assistant_initiates":false,"asst_text":"\ud83c\udfe1 \u041d\u0430 \u044d\u0442\u043e\u0439 \u043d\u0435\u0434\u0435\u043b\u0435 \u0438\u043f\u043e\u0442\u0435\u0447\u043d\u044b\u0435 \u0441\u0442\u0430\u0432\u043a\u0438 \u0432 \u0420\u043e\u0441\u0441\u0438\u0438 \u043a\u0440\u0443\u0442\u043e \u043f\u043e\u0434\u043d\u044f\u043b\u0438\u0441\u044c. \u0412\u043e\u0441\u0435\u043c\u044c \u0438\u0437 20 \u043a\u0440\u0443\u043f\u043d\u0435\u0439\u0448\u0438\u0445 \u0438\u043f\u043e\u0442\u0435\u0447\u043d\u044b\u0445 \u0431\u0430\u043d\u043a\u043e\u0432 \u0443\u0432\u0435\u043b\u0438\u0447\u0438\u043b\u0438 \u0441\u0442\u0430\u0432\u043a\u0438 \u043d\u0430 0,9\u20137 \u043f.\u043f. \u0421\u0440\u0435\u0434\u043d\u0435\u0432\u0437\u0432\u0435\u0448\u0435\u043d\u043d\u0430\u044f \u0431\u0430\u0437\u043e\u0432\u0430\u044f \u0441\u0442\u0430\u0432\u043a\u0430 \u0442\u0435\u043f\u0435\u0440\u044c \u0441\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 25,4% \u043d\u0430 \u043d\u043e\u0432\u043e\u0441\u0442\u0440\u043e\u0439\u043a\u0438 \u0438 25,43% \u043d\u0430 \u0432\u0442\u043e\u0440\u0438\u0447\u043d\u043e\u0435 \u0436\u0438\u043b\u044c\u0435. \u0422\u0440\u0430\u043d\u0441\u043a\u0430\u043f\u0438\u0442\u0430\u043b\u0431\u0430\u043d\u043a \u0443\u0434\u0438\u0432\u0438\u043b \u0431\u043e\u043b\u044c\u0448\u0435 \u0432\u0441\u0435\u0445, \u043f\u043e\u0434\u043d\u044f\u0432 \u0441\u0442\u0430\u0432\u043a\u0438 \u043d\u0430 \u043d\u043e\u0432\u043e\u0441\u0442\u0440\u043e\u0439\u043a\u0438 \u043d\u0430 7 \u043f.\u043f. \u0438 \u0434\u043e 27,75% \ud83c\udfe2. \u0421\u043e\u0432\u043a\u043e\u043c\u0431\u0430\u043d\u043a \u0442\u043e\u0436\u0435 \u043d\u0435 \u043e\u0442\u0441\u0442\u0430\u0435\u0442 \u2014 \u0441\u0442\u0430\u0432\u043a\u0430 \u043f\u043e\u0434\u043d\u044f\u0442\u0430 \u0434\u043e 25,99% \ud83d\udcc8.\n\n\u0421\u0431\u0435\u0440\u0431\u0430\u043d\u043a \u0438 \u0412\u0422\u0411 \u043d\u0430\u0441\u0442\u0440\u043e\u0435\u043d\u044b \u043d\u0430 \u043f\u043e\u0434\u043e\u0440\u043e\u0436\u0430\u043d\u0438\u0435: \u0438\u0445 \u0441\u0442\u0430\u0432\u043a\u0438 \u0442\u0430\u043a\u0436\u0435 \u043f\u0440\u0435\u0432\u044b\u0448\u0430\u044e\u0442 25%. \u0412\u044b\u043f\u0443\u0441\u043a \u0438\u043f\u043e\u0442\u0435\u043a\u0438 \u0441\u0442\u0430\u043b \u0434\u043e\u0440\u043e\u0433\u0438\u043c \u0443\u0434\u043e\u0432\u043e\u043b\u044c\u0441\u0442\u0432\u0438\u0435\u043c, \u0447\u0442\u043e \u0441\u043a\u043e\u0440\u0435\u0435 \u0437\u0430\u043c\u0435\u0434\u043b\u0438\u0442 \u0440\u044b\u043d\u043e\u043a. \u0413\u043b\u0430\u0432\u0430 \u0440\u0435\u0433\u0443\u043b\u044f\u0442\u043e\u0440\u0430 \u042d\u043b\u044c\u0432\u0438\u0440\u0430 \u041d\u0430\u0431\u0438\u0443\u043b\u043b\u0438\u043d\u0430 \u0443\u0432\u0435\u0440\u0435\u043d\u0430, \u0447\u0442\u043e \u044d\u0442\u043e \u0440\u0435\u0448\u0435\u043d\u0438\u0435 \u043f\u043e\u043c\u043e\u0436\u0435\u0442 \u0441\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0442\u044c \u0440\u043e\u0441\u0442 \u0446\u0435\u043d \u043d\u0430 \u043d\u043e\u0432\u043e\u0441\u0442\u0440\u043e\u0439\u043a\u0438 \u0438 \u043e\u0445\u043b\u0430\u0434\u0438\u0442 \u0440\u044b\u043d\u043e\u043a \ud83e\udd76.\n\n\ud83d\udca1 \u041f\u043e \u043c\u043d\u0435\u043d\u0438\u044e \u044d\u043a\u0441\u043f\u0435\u0440\u0442\u043e\u0432, \u043b\u044e\u0434\u044f\u043c \u043f\u0440\u0438\u0434\u0451\u0442\u0441\u044f \u043f\u043e\u043b\u0430\u0433\u0430\u0442\u044c\u0441\u044f \u043d\u0430 \u043b\u044c\u0433\u043e\u0442\u043d\u044b\u0435 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u044b \u0438\u043b\u0438 \u0438\u0441\u043a\u0430\u0442\u044c \u043a\u043e\u0440\u043e\u0442\u043a\u0438\u0435 \u043f\u0435\u0440\u0435\u043f\u044b\u043b\u0435\u043d\u044b \u0432 \u043a\u0440\u0435\u0434\u0438\u0442\u0430\u0445. \u0420\u044b\u043d\u043e\u0447\u043d\u044b\u0435 \u0443\u0441\u043b\u043e\u0432\u0438\u044f \u0441\u0442\u0430\u043d\u043e\u0432\u044f\u0442\u0441\u044f \u0432\u0441\u0451 \u0431\u043e\u043b\u0435\u0435 \u0436\u0451\u0441\u0442\u043a\u0438\u043c\u0438, \u0438 \u0441\u0442\u0430\u0432\u043a\u0438 \u0432\u0440\u044f\u0434 \u043b\u0438 \u043f\u043e\u043d\u0438\u0437\u044f\u0442\u0441\u044f \u0432 \u0431\u043b\u0438\u0436\u0430\u0439\u0448\u0435\u0435 \u0432\u0440\u0435\u043c\u044f.","behavior":"degenerate_repetition","conversation_hash":"4c042d322442c2fc6d5e7428bd62052d","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-4o-2024-08-06","n_chars":3479,"n_turns_in_conversation":1,"n_words":516,"source_row_offset":42238,"source_shard":"turns-00041.parquet","timestamp":"Wed, 30 Oct 2024 22:32:22 GMT","turn_id":"bf4432b8d3724639c3856232","turn_index":0,"user_text":"\u0421\u0443\u043c\u043c\u0430\u0440\u0438\u0437\u0438\u0440\u0443\u0439 \u043c\u043d\u0435 \u044d\u0442\u0443 \u043d\u043e\u0432\u043e\u0441\u0442\u044c \u0438 \u043d\u0430\u043f\u0438\u0448\u0438 \u0435\u0435 \u0432 \u0444\u043e\u0440\u043c\u0430\u0442\u0435 \u0434\u043b\u044f \u0442\u0435\u043b\u0435\u0433\u0440\u0430\u043c \u043d\u0430 \u0440\u0443\u0441\u0441\u043a\u043e\u043c \u044f\u0437\u044b\u043a\u0435 \u043d\u0435 \u0434\u043b\u0438\u043d\u043d\u0435\u0435 900 \u0441\u0438\u043c\u0432\u043e\u043b\u043e\u0432. \u041f\u0438\u0448\u0438 \u0432 \u0441\u0442\u0438\u043b\u0435 \u042d\u0440\u043d\u0435\u0441\u0442\u0430 \u0425\u0435\u043c\u0438\u043d\u0433\u0443\u044d\u044f, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0439\u0442\u0435 emoji. \u0412\u043e\u0442 \u043d\u043e\u0432\u043e\u0441\u0442\u044c [\n\n\u0417\u0430 \u043d\u0435\u0434\u0435\u043b\u044e \u0441 21 \u043f\u043e 27 \u043e\u043a\u0442\u044f\u0431\u0440\u044f 2024 \u0433\u043e\u0434\u0430 \u0432\u043e\u0441\u0435\u043c\u044c \u0438\u0437 20 \u043a\u0440\u0443\u043f\u043d\u0435\u0439\u0448\u0438\u0445 \u0438\u043f\u043e\u0442\u0435\u0447\u043d\u044b\u0445 \u0431\u0430\u043d\u043a\u043e\u0432 \u043f\u043e\u0432\u044b\u0441\u0438\u043b\u0438 \u0438\u043f\u043e\u0442\u0435\u0447\u043d\u044b\u0435 \u0441\u0442\u0430\u0432\u043a\u0438 \u043d\u0430 0,9\u20137 \u043f.\u043f. \u0412 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0435 \u043f\u043e\u0434\u044a\u0435\u043c\u0430 \u0441\u0440\u0435\u0434\u043d\u0435\u0432\u0437\u0432\u0435\u0448\u0435\u043d\u043d\u0430\u044f \u0431\u0430\u0437\u043e\u0432\u0430\u044f \u0441\u0442\u0430\u0432\u043a\u0430 \u043d\u0430 \u043d\u043e\u0432\u043e\u0441\u0442\u0440\u043e\u0439\u043a\u0438 \u0441\u043e\u0441\u0442\u0430\u0432\u0438\u043b\u0430 25,4% (\u043f\u0440\u0438\u0440\u043e\u0441\u0442 \u0437\u0430 \u0441\u0435\u043c\u044c \u0434\u043d\u0435\u0439 \u0441\u043e\u0441\u0442\u0430\u0432\u0438\u043b 2,1 \u043f.\u043f.), \u0430 \u043d\u0430 \u0432\u0442\u043e\u0440\u0438\u0447\u043d\u043e\u0435 \u0436\u0438\u043b\u044c\u0435 \u2014 25,43% (+2,32 \u043f.\u043f.). \u0422\u0430\u043a\u0438\u0435 \u0434\u0430\u043d\u043d\u044b\u0435 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