{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":30636,"offset":30626,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"0","behavior":"degenerate_repetition","conversation_hash":"521282468256d061516634e8dc641469","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":"Russian","model":"gpt-4o-2024-08-06","n_chars":870,"n_turns_in_conversation":1,"n_words":117,"source_row_offset":30626,"source_shard":"turns-00040.parquet","timestamp":"Sun, 27 Oct 2024 19:12:41 GMT","turn_id":"fbea68e46332732006c33b63","turn_index":0,"user_text":"\n        \u0427\u0435\u043b\u043e\u0432\u0435\u043a \u043f\u043e\u0442\u0435\u0440\u044f\u043b \u0441\u0432\u0435\u0433\u043e \u043b\u044e\u0431\u0438\u043c\u043e\u0433\u043e \u043f\u0438\u0442\u043e\u043c\u0446\u0430 \u0438 \u043d\u0430\u043f\u0438\u0441\u0430\u043b \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043f\u0438\u0442\u043e\u043c\u0446\u0430.\n        \u041e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043f\u0438\u0442\u043e\u043c\u0446\u0430 \u043c\u043e\u0436\u0435\u0442 \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0442\u044c \u043c\u0435\u0441\u0442\u043e \u043f\u043e\u0442\u0435\u0440\u0438, \u0446\u0432\u0435\u0442 \u043e\u0448\u0435\u0439\u043d\u0438\u043a\u0430 \u0438 \u0442.\u0434.\n        \u0422\u0430\u043a\u0436\u0435 \u0435\u0441\u0442\u044c \u043f\u043e\u0441\u0442 \u0441 \u0412\u041a \u043e \u043f\u043e\u0442\u0435\u0440\u044f\u043d\u043e\u043c \u0436\u0438\u0432\u043e\u0442\u043d\u043e\u043c.\n        \u0422\u0435\u0431\u0435 \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e \u043e\u0446\u0435\u043d\u0438\u0442\u044c \u0447\u0438\u0441\u043b\u043e\u043c \u043e\u0442 0 \u0434\u043e 10 \u043d\u0430\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043f\u0438\u0442\u043e\u043c\u0446\u0430 \u0432 \u043f\u043e\u0441\u0442\u0435 \u0441\u043e\u043e\u0442\u0432\u0435\u0441\u0442\u0432\u0443\u0435\u0442 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u044e \u0447\u0435\u043b\u043e\u0432\u0435\u043a\u0430.\n        0 - \u043f\u043e\u043b\u043d\u0430\u0441\u0442\u044c\u044e \u043d\u0435 \u0441\u043e\u043e\u0442\u0432\u0435\u0441\u0442\u0432\u0443\u0435\u0442\n        10 - \u043f\u043e\u043b\u043d\u0430\u0441\u0442\u044c\u044e \u0441\u043e\u043e\u0442\u0432\u0435\u0441\u0442\u0432\u0443\u0435\u0442\n        \u0422\u042b \u0423\u041c\u0415\u0415\u0428\u042c \u042d\u0422\u041e \u0414\u0415\u041b\u0410\u0422\u042c!\n        \u041e\u0422\u0412\u0415\u0427\u0410\u0419 \u0422\u041e\u041b\u042c\u041a\u041e \u0427\u0418\u0421\u041b\u041e \u041e\u0422 0 \u0414\u041e 10 \u0411\u0415\u0417 \u041a\u0410\u041a\u041e\u0413\u041e \u041b\u0418\u0411\u041e \u0422\u0415\u041a\u0421\u0422\u0410!\n\n        \u0422\u0435\u043a\u0441\u0442 \u0432\u043b\u0430\u0434\u0435\u043b\u044c\u0446\u0430 \u043f\u0438\u0442\u043e\u043c\u0446\u0430\n        \"\n        \u0412 \u0412\u043e\u0440\u043e\u043d\u0435\u0436\u0435 \u043f\u043e\u0442\u0435\u0440\u044f\u043b\u0430\u0441\u044c \u0441\u043e\u0431\u0430\u0447\u043a\u0430 \u0441 \u043e\u0448\u0435\u0439\u043d\u0438\u043a\u043e\u043c\n        \"\n        \u0422\u0435\u043a\u0441\u0442 \u043f\u043e\u0441\u0442\u0430\n        \"\n        \u041c\u043e\u0441\u043a\u0432\u0430, \u041f\u0430\u0432\u0435\u043b\u0435\u0446\u043a\u0430\u044f\n21.10.2024 \u041d\u0410\u0419\u0414\u0415\u041d \u0440\u044b\u0436\u0438\u0439 \u043a\u043e\u0442 \u043d\u0430 \u0443\u043b. 2-\u0439 \u041a\u043e\u0436\u0435\u0432\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043f\u0435\u0440\u0435\u0443\u043b\u043e\u043a. \u0412\u043e\u0437\u0440\u0430\u0441\u0442 \u043f\u0440\u0438\u043c\u0435\u0440\u043d\u043e \u0433\u043e\u0434 + \u043f\u0430\u0440\u0443 \u043c\u0435\u0441\u044f\u0446\u0435\u0432 \u043a\u0430\u0441\u0442\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439, \u0433\u043b\u0430\u0437\u0430 \u0437\u043e\u043b\u043e\u0442\u044b\u0435 \u0438 \u043d\u0435\u043c\u043d\u043e\u0433\u043e \u0437\u0435\u043b\u0435\u043d\u044b\u0435 \u0431\u043b\u0438\u0436\u0435 \u043a \u0437\u0440\u0430\u0447\u043a\u0443, \u0430\u043a\u0442\u0438\u0432\u043d\u044b\u0439, \u0435\u0441\u0442 \u0441\u0443\u0445\u043e\u0439 \u043a\u043e\u0440\u043c.\n\u041f\u0438\u0448\u0438\u0442\u0435 \u0432 \u0442\u0433 @maxtsmax\n        \"\n        "},{"assistant_initiates":false,"asst_text":"0","behavior":"degenerate_repetition","conversation_hash":"52816963b78702cc96eea2b03f8b15f4","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":"Russian","model":"gpt-4o-2024-08-06","n_chars":717,"n_turns_in_conversation":1,"n_words":94,"source_row_offset":30627,"source_shard":"turns-00040.parquet","timestamp":"Sun, 27 Oct 2024 19:12:41 GMT","turn_id":"604ae77619a11a9794cc87a4","turn_index":0,"user_text":"\n        \u0427\u0435\u043b\u043e\u0432\u0435\u043a \u043f\u043e\u0442\u0435\u0440\u044f\u043b \u0441\u0432\u0435\u0433\u043e \u043b\u044e\u0431\u0438\u043c\u043e\u0433\u043e \u043f\u0438\u0442\u043e\u043c\u0446\u0430 \u0438 \u043d\u0430\u043f\u0438\u0441\u0430\u043b \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043f\u0438\u0442\u043e\u043c\u0446\u0430.\n        \u041e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043f\u0438\u0442\u043e\u043c\u0446\u0430 \u043c\u043e\u0436\u0435\u0442 \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0442\u044c \u043c\u0435\u0441\u0442\u043e \u043f\u043e\u0442\u0435\u0440\u0438, \u0446\u0432\u0435\u0442 \u043e\u0448\u0435\u0439\u043d\u0438\u043a\u0430 \u0438 \u0442.\u0434.\n        \u0422\u0430\u043a\u0436\u0435 \u0435\u0441\u0442\u044c \u043f\u043e\u0441\u0442 \u0441 \u0412\u041a \u043e \u043f\u043e\u0442\u0435\u0440\u044f\u043d\u043e\u043c \u0436\u0438\u0432\u043e\u0442\u043d\u043e\u043c.\n        \u0422\u0435\u0431\u0435 \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e \u043e\u0446\u0435\u043d\u0438\u0442\u044c \u0447\u0438\u0441\u043b\u043e\u043c \u043e\u0442 0 \u0434\u043e 10 \u043d\u0430\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043f\u0438\u0442\u043e\u043c\u0446\u0430 \u0432 \u043f\u043e\u0441\u0442\u0435 \u0441\u043e\u043e\u0442\u0432\u0435\u0441\u0442\u0432\u0443\u0435\u0442 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u044e \u0447\u0435\u043b\u043e\u0432\u0435\u043a\u0430.\n        0 - \u043f\u043e\u043b\u043d\u0430\u0441\u0442\u044c\u044e \u043d\u0435 \u0441\u043e\u043e\u0442\u0432\u0435\u0441\u0442\u0432\u0443\u0435\u0442\n        10 - \u043f\u043e\u043b\u043d\u0430\u0441\u0442\u044c\u044e \u0441\u043e\u043e\u0442\u0432\u0435\u0441\u0442\u0432\u0443\u0435\u0442\n        \u0422\u042b \u0423\u041c\u0415\u0415\u0428\u042c \u042d\u0422\u041e \u0414\u0415\u041b\u0410\u0422\u042c!\n        \u041e\u0422\u0412\u0415\u0427\u0410\u0419 \u0422\u041e\u041b\u042c\u041a\u041e \u0427\u0418\u0421\u041b\u041e \u041e\u0422 0 \u0414\u041e 10 \u0411\u0415\u0417 \u041a\u0410\u041a\u041e\u0413\u041e \u041b\u0418\u0411\u041e \u0422\u0415\u041a\u0421\u0422\u0410!\n\n        \u0422\u0435\u043a\u0441\u0442 \u0432\u043b\u0430\u0434\u0435\u043b\u044c\u0446\u0430 \u043f\u0438\u0442\u043e\u043c\u0446\u0430\n        \"\n        \u0412 \u0412\u043e\u0440\u043e\u043d\u0435\u0436\u0435 \u043f\u043e\u0442\u0435\u0440\u044f\u043b\u0430\u0441\u044c \u0441\u043e\u0431\u0430\u0447\u043a\u0430 \u0441 \u043e\u0448\u0435\u0439\u043d\u0438\u043a\u043e\u043c\n        \"\n        \u0422\u0435\u043a\u0441\u0442 \u043f\u043e\u0441\u0442\u0430\n        \"\n        \u0433. \u041b\u0438\u043f\u0435\u0446\u043a, \u043c\u0430\u0433\u0430\u0437\u0438\u043d \u041f\u043e\u0431\u0435\u0434\u0430, \u043d\u0430\u043f\u0440\u043e\u0442\u0438\u0432 \u0416\u0414 \u0432\u043e\u043a\u0437\u0430\u043b\u0430. \u041c\u043e\u0436\u0435\u0442 \u043a\u0442\u043e-\u0442\u043e \u043f\u043e\u0442\u0435\u0440\u044f\u043b \u0434\u0440\u0443\u0433\u0430?!\n        \"\n        "},{"assistant_initiates":false,"asst_text":"0","behavior":"degenerate_repetition","conversation_hash":"521282468256d061516634e8dc641469","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":"Russian","model":"gpt-4o-2024-08-06","n_chars":870,"n_turns_in_conversation":1,"n_words":117,"source_row_offset":30628,"source_shard":"turns-00040.parquet","timestamp":"Sun, 27 Oct 2024 19:12:42 GMT","turn_id":"fbea68e46332732006c33b63","turn_index":0,"user_text":"\n        \u0427\u0435\u043b\u043e\u0432\u0435\u043a \u043f\u043e\u0442\u0435\u0440\u044f\u043b \u0441\u0432\u0435\u0433\u043e \u043b\u044e\u0431\u0438\u043c\u043e\u0433\u043e \u043f\u0438\u0442\u043e\u043c\u0446\u0430 \u0438 \u043d\u0430\u043f\u0438\u0441\u0430\u043b \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043f\u0438\u0442\u043e\u043c\u0446\u0430.\n        \u041e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043f\u0438\u0442\u043e\u043c\u0446\u0430 \u043c\u043e\u0436\u0435\u0442 \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0442\u044c \u043c\u0435\u0441\u0442\u043e \u043f\u043e\u0442\u0435\u0440\u0438, \u0446\u0432\u0435\u0442 \u043e\u0448\u0435\u0439\u043d\u0438\u043a\u0430 \u0438 \u0442.\u0434.\n        \u0422\u0430\u043a\u0436\u0435 \u0435\u0441\u0442\u044c \u043f\u043e\u0441\u0442 \u0441 \u0412\u041a \u043e \u043f\u043e\u0442\u0435\u0440\u044f\u043d\u043e\u043c \u0436\u0438\u0432\u043e\u0442\u043d\u043e\u043c.\n        \u0422\u0435\u0431\u0435 \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e \u043e\u0446\u0435\u043d\u0438\u0442\u044c \u0447\u0438\u0441\u043b\u043e\u043c \u043e\u0442 0 \u0434\u043e 10 \u043d\u0430\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043f\u0438\u0442\u043e\u043c\u0446\u0430 \u0432 \u043f\u043e\u0441\u0442\u0435 \u0441\u043e\u043e\u0442\u0432\u0435\u0441\u0442\u0432\u0443\u0435\u0442 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u044e \u0447\u0435\u043b\u043e\u0432\u0435\u043a\u0430.\n        0 - \u043f\u043e\u043b\u043d\u0430\u0441\u0442\u044c\u044e \u043d\u0435 \u0441\u043e\u043e\u0442\u0432\u0435\u0441\u0442\u0432\u0443\u0435\u0442\n        10 - \u043f\u043e\u043b\u043d\u0430\u0441\u0442\u044c\u044e \u0441\u043e\u043e\u0442\u0432\u0435\u0441\u0442\u0432\u0443\u0435\u0442\n        \u0422\u042b \u0423\u041c\u0415\u0415\u0428\u042c \u042d\u0422\u041e \u0414\u0415\u041b\u0410\u0422\u042c!\n        \u041e\u0422\u0412\u0415\u0427\u0410\u0419 \u0422\u041e\u041b\u042c\u041a\u041e \u0427\u0418\u0421\u041b\u041e \u041e\u0422 0 \u0414\u041e 10 \u0411\u0415\u0417 \u041a\u0410\u041a\u041e\u0413\u041e \u041b\u0418\u0411\u041e \u0422\u0415\u041a\u0421\u0422\u0410!\n\n        \u0422\u0435\u043a\u0441\u0442 \u0432\u043b\u0430\u0434\u0435\u043b\u044c\u0446\u0430 \u043f\u0438\u0442\u043e\u043c\u0446\u0430\n        \"\n        \u0412 \u0412\u043e\u0440\u043e\u043d\u0435\u0436\u0435 \u043f\u043e\u0442\u0435\u0440\u044f\u043b\u0430\u0441\u044c \u0441\u043e\u0431\u0430\u0447\u043a\u0430 \u0441 \u043e\u0448\u0435\u0439\u043d\u0438\u043a\u043e\u043c\n        \"\n        \u0422\u0435\u043a\u0441\u0442 \u043f\u043e\u0441\u0442\u0430\n        \"\n        \u041c\u043e\u0441\u043a\u0432\u0430, \u041f\u0430\u0432\u0435\u043b\u0435\u0446\u043a\u0430\u044f\n21.10.2024 \u041d\u0410\u0419\u0414\u0415\u041d \u0440\u044b\u0436\u0438\u0439 \u043a\u043e\u0442 \u043d\u0430 \u0443\u043b. 2-\u0439 \u041a\u043e\u0436\u0435\u0432\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043f\u0435\u0440\u0435\u0443\u043b\u043e\u043a. \u0412\u043e\u0437\u0440\u0430\u0441\u0442 \u043f\u0440\u0438\u043c\u0435\u0440\u043d\u043e \u0433\u043e\u0434 + \u043f\u0430\u0440\u0443 \u043c\u0435\u0441\u044f\u0446\u0435\u0432 \u043a\u0430\u0441\u0442\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439, \u0433\u043b\u0430\u0437\u0430 \u0437\u043e\u043b\u043e\u0442\u044b\u0435 \u0438 \u043d\u0435\u043c\u043d\u043e\u0433\u043e \u0437\u0435\u043b\u0435\u043d\u044b\u0435 \u0431\u043b\u0438\u0436\u0435 \u043a \u0437\u0440\u0430\u0447\u043a\u0443, \u0430\u043a\u0442\u0438\u0432\u043d\u044b\u0439, \u0435\u0441\u0442 \u0441\u0443\u0445\u043e\u0439 \u043a\u043e\u0440\u043c.\n\u041f\u0438\u0448\u0438\u0442\u0435 \u0432 \u0442\u0433 @maxtsmax\n        \"\n        "},{"assistant_initiates":false,"asst_text":"0","behavior":"degenerate_repetition","conversation_hash":"30869e712b9985f57ff36aaf9f40fe62","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":"Russian","model":"gpt-4o-2024-08-06","n_chars":952,"n_turns_in_conversation":1,"n_words":121,"source_row_offset":30629,"source_shard":"turns-00040.parquet","timestamp":"Sun, 27 Oct 2024 19:12:42 GMT","turn_id":"2f538a00395ac937d79562ad","turn_index":0,"user_text":"\n        \u0427\u0435\u043b\u043e\u0432\u0435\u043a \u043f\u043e\u0442\u0435\u0440\u044f\u043b \u0441\u0432\u0435\u0433\u043e \u043b\u044e\u0431\u0438\u043c\u043e\u0433\u043e \u043f\u0438\u0442\u043e\u043c\u0446\u0430 \u0438 \u043d\u0430\u043f\u0438\u0441\u0430\u043b \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043f\u0438\u0442\u043e\u043c\u0446\u0430.\n        \u041e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043f\u0438\u0442\u043e\u043c\u0446\u0430 \u043c\u043e\u0436\u0435\u0442 \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0442\u044c \u043c\u0435\u0441\u0442\u043e \u043f\u043e\u0442\u0435\u0440\u0438, \u0446\u0432\u0435\u0442 \u043e\u0448\u0435\u0439\u043d\u0438\u043a\u0430 \u0438 \u0442.\u0434.\n        \u0422\u0430\u043a\u0436\u0435 \u0435\u0441\u0442\u044c \u043f\u043e\u0441\u0442 \u0441 \u0412\u041a \u043e \u043f\u043e\u0442\u0435\u0440\u044f\u043d\u043e\u043c \u0436\u0438\u0432\u043e\u0442\u043d\u043e\u043c.\n        \u0422\u0435\u0431\u0435 \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e \u043e\u0446\u0435\u043d\u0438\u0442\u044c \u0447\u0438\u0441\u043b\u043e\u043c \u043e\u0442 0 \u0434\u043e 10 \u043d\u0430\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043f\u0438\u0442\u043e\u043c\u0446\u0430 \u0432 \u043f\u043e\u0441\u0442\u0435 \u0441\u043e\u043e\u0442\u0432\u0435\u0441\u0442\u0432\u0443\u0435\u0442 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u044e \u0447\u0435\u043b\u043e\u0432\u0435\u043a\u0430.\n        0 - \u043f\u043e\u043b\u043d\u0430\u0441\u0442\u044c\u044e \u043d\u0435 \u0441\u043e\u043e\u0442\u0432\u0435\u0441\u0442\u0432\u0443\u0435\u0442\n        10 - \u043f\u043e\u043b\u043d\u0430\u0441\u0442\u044c\u044e \u0441\u043e\u043e\u0442\u0432\u0435\u0441\u0442\u0432\u0443\u0435\u0442\n        \u0422\u042b \u0423\u041c\u0415\u0415\u0428\u042c \u042d\u0422\u041e \u0414\u0415\u041b\u0410\u0422\u042c!\n        \u041e\u0422\u0412\u0415\u0427\u0410\u0419 \u0422\u041e\u041b\u042c\u041a\u041e \u0427\u0418\u0421\u041b\u041e \u041e\u0422 0 \u0414\u041e 10 \u0411\u0415\u0417 \u041a\u0410\u041a\u041e\u0413\u041e \u041b\u0418\u0411\u041e \u0422\u0415\u041a\u0421\u0422\u0410!\n\n        \u0422\u0435\u043a\u0441\u0442 \u0432\u043b\u0430\u0434\u0435\u043b\u044c\u0446\u0430 \u043f\u0438\u0442\u043e\u043c\u0446\u0430\n        \"\n        \u0412 \u0412\u043e\u0440\u043e\u043d\u0435\u0436\u0435 \u043f\u043e\u0442\u0435\u0440\u044f\u043b\u0430\u0441\u044c \u0441\u043e\u0431\u0430\u0447\u043a\u0430 \u0441 \u043e\u0448\u0435\u0439\u043d\u0438\u043a\u043e\u043c\n        \"\n        \u0422\u0435\u043a\u0441\u0442 \u043f\u043e\u0441\u0442\u0430\n        \"\n        \u0421\u0445\u043e\u0434\u043d\u044f, \u0424\u0438\u0440\u0441\u0430\u043d\u043e\u0432\u043a\u0430, \u041c\u043e\u043b\u0436\u0430\u043d\u0438\u043d\u043e\u0432\u043e, \u041f\u043e\u0434\u0440\u0435\u0437\u043a\u043e\u0432\u043e\ud83d\ude4f\n\u2757\ufe0f23.10. \u0437\u0430\u043c\u0435\u0447\u0435\u043d \u0443\u043b.\u041e\u0432\u0440\u0430\u0436\u043d\u0430\u044f, \u0413\u043e\u0433\u043e\u043b\u044f (\u0421\u0445\u043e\u0434\u043d\u044f)\n\u275723.10. \ufe0f\u0437\u0430\u043c\u0435\u0447\u0435\u043d \u0443 \u042f\u0440\u043c\u0430\u0440\u043a\u0438 \u041b\u0435\u0432\u0448\u0430\n\n21.10.24\u0433 \u0423\u0431\u0435\u0436\u0430\u043b \u043f\u0451\u0441 \u041b\u0430\u043f\u0438\u043a.\n\u0411\u044b\u043b \u0441\u043f\u0430\u0441\u0435\u043d \u0438\u0437 \u0437\u043e\u043d\u044b \u0421\u0412\u041e, \u0438\u0441\u043f\u0443\u0433\u0430\u043b\u0441\u044f \u043d\u0438\u0437\u043a\u043e \u043b\u0435\u0442\u044f\u0449\u0435\u0433\u043e \u0441\u0430\u043c\u043e\u043b\u0451\u0442\u0430 \ud83d\ude2d \n\u041f\u043e\u043c\u043e\u0433\u0438\u0442\u0435, \u043f\u043e\u0436\u0430\u043b\u0443\u0439\u0441\u0442\u0430, \u0432\u0435\u0440\u043d\u0443\u0442\u044c \u0435\u0433\u043e \u0434\u043e\u043c\u043e\u0439\ud83d\ude4f\n\n\u0427\u0430\u0442 \u043f\u043e\u0438\u0441\u043a\u0430:\nhttps://t.me/+6ZuDYbOXnhszODVi\n[2 \u0432\u043b\u043e\u0436\u0435\u043d\u0438\u044f]\n        \"\n        "},{"assistant_initiates":false,"asst_text":"Question: The company consolidates its supply base.\nlabel: Yes\n\nQuestion: Suppliers are chosen based only on price.\nlabel: No\n\nQuestion: Supply shortages could affect production schedules.\nlabel: Yes\n\nQuestion: The company can easily find new suppliers.\nlabel: No\n\nQuestion: Pandemics could cause supply chain issues.\nlabel: Yes\n\nQuestion: The company is unaffected by trade laws.\nlabel: No\n\nQuestion: Delivery dates might be missed due to shortages.\nlabel: Yes\n\nQuestion: Financial instability does not impact supply chains.\nlabel: No","behavior":"degenerate_repetition","conversation_hash":"9ebcc21cb1742f236e6846256c8c3c57","conversation_redacted":false,"conversation_toxic":false,"country":"Ukraine","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":2568,"n_turns_in_conversation":1,"n_words":400,"source_row_offset":30630,"source_shard":"turns-00040.parquet","timestamp":"Sun, 27 Oct 2024 19:12:42 GMT","turn_id":"908d1cb2b556661ccfad4f87","turn_index":0,"user_text":"System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.\n\nStep 1: Read the paragraph carefully. \nStep 2: For each relevant task you identify, generate two short statements that are shorter than 10 words \nStep 3: Output the results in the following format:\n\nQuestion: <The statement>\nlabel: <Yes or No>\nQuestion: <Another statement>\nlabel: <Yes or No>\n...\n\nUser: In an effort to manage and reduce our cost of purchased goods and services, we, like many suppliers and customers, have been consolidating our supply base. As a result, we are dependent upon limited sources of supply for certain components used in the manufacture of our products. We select our suppliers based upon total value (including price, delivery and quality), taking into consideration their production capacities, financial condition and willingness and ability to meet our demand. In some cases, it can take several months or longer to find a supplier due to qualification requirements. However, strong demand, the potential effects of trade laws and tariffs, capacity constraints, financial instability, public health crises, such as pandemics and epidemics, including the COVID-19 pandemic, or other circumstances experienced by our suppliers could result in shortages or delays in their supply of product to us, or a significant price increase resulting in our need to resource. If we were to experience a significant or prolonged shortage of critical components or materials from any of our suppliers and could not procure the components or materials from other sources, we would be unable to meet our production schedules and we would miss product delivery dates, which would adversely affect our sales, results of operations and customer relationships._\nAssistant:"},{"assistant_initiates":false,"asst_text":"0","behavior":"degenerate_repetition","conversation_hash":"46d2930ef27b881dde24296c6983ab23","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":"Russian","model":"gpt-4o-2024-08-06","n_chars":904,"n_turns_in_conversation":1,"n_words":119,"source_row_offset":30631,"source_shard":"turns-00040.parquet","timestamp":"Sun, 27 Oct 2024 19:12:45 GMT","turn_id":"615573c30e41561717b4143c","turn_index":0,"user_text":"\n        \u0427\u0435\u043b\u043e\u0432\u0435\u043a \u043f\u043e\u0442\u0435\u0440\u044f\u043b \u0441\u0432\u0435\u0433\u043e \u043b\u044e\u0431\u0438\u043c\u043e\u0433\u043e \u043f\u0438\u0442\u043e\u043c\u0446\u0430 \u0438 \u043d\u0430\u043f\u0438\u0441\u0430\u043b \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043f\u0438\u0442\u043e\u043c\u0446\u0430.\n        \u041e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043f\u0438\u0442\u043e\u043c\u0446\u0430 \u043c\u043e\u0436\u0435\u0442 \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0442\u044c \u043c\u0435\u0441\u0442\u043e \u043f\u043e\u0442\u0435\u0440\u0438, \u0446\u0432\u0435\u0442 \u043e\u0448\u0435\u0439\u043d\u0438\u043a\u0430 \u0438 \u0442.\u0434.\n        \u0422\u0430\u043a\u0436\u0435 \u0435\u0441\u0442\u044c \u043f\u043e\u0441\u0442 \u0441 \u0412\u041a \u043e \u043f\u043e\u0442\u0435\u0440\u044f\u043d\u043e\u043c \u0436\u0438\u0432\u043e\u0442\u043d\u043e\u043c.\n        \u0422\u0435\u0431\u0435 \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e \u043e\u0446\u0435\u043d\u0438\u0442\u044c \u0447\u0438\u0441\u043b\u043e\u043c \u043e\u0442 0 \u0434\u043e 10 \u043d\u0430\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043f\u0438\u0442\u043e\u043c\u0446\u0430 \u0432 \u043f\u043e\u0441\u0442\u0435 \u0441\u043e\u043e\u0442\u0432\u0435\u0441\u0442\u0432\u0443\u0435\u0442 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u044e \u0447\u0435\u043b\u043e\u0432\u0435\u043a\u0430.\n        0 - \u043f\u043e\u043b\u043d\u0430\u0441\u0442\u044c\u044e \u043d\u0435 \u0441\u043e\u043e\u0442\u0432\u0435\u0441\u0442\u0432\u0443\u0435\u0442\n        10 - \u043f\u043e\u043b\u043d\u0430\u0441\u0442\u044c\u044e \u0441\u043e\u043e\u0442\u0432\u0435\u0441\u0442\u0432\u0443\u0435\u0442\n        \u0422\u042b \u0423\u041c\u0415\u0415\u0428\u042c \u042d\u0422\u041e \u0414\u0415\u041b\u0410\u0422\u042c!\n        \u041e\u0422\u0412\u0415\u0427\u0410\u0419 \u0422\u041e\u041b\u042c\u041a\u041e \u0427\u0418\u0421\u041b\u041e \u041e\u0422 0 \u0414\u041e 10 \u0411\u0415\u0417 \u041a\u0410\u041a\u041e\u0413\u041e \u041b\u0418\u0411\u041e \u0422\u0415\u041a\u0421\u0422\u0410!\n\n        \u0422\u0435\u043a\u0441\u0442 \u0432\u043b\u0430\u0434\u0435\u043b\u044c\u0446\u0430 \u043f\u0438\u0442\u043e\u043c\u0446\u0430\n        \"\n        \u0412 \u0412\u043e\u0440\u043e\u043d\u0435\u0436\u0435 \u043f\u043e\u0442\u0435\u0440\u044f\u043b\u0430\u0441\u044c \u0441\u043e\u0431\u0430\u0447\u043a\u0430 \u0441 \u043e\u0448\u0435\u0439\u043d\u0438\u043a\u043e\u043c\n        \"\n        \u0422\u0435\u043a\u0441\u0442 \u043f\u043e\u0441\u0442\u0430\n        \"\n        \u0421\u041d\u0422 \u0413\u0440\u0438\u0431\u043e\u0432\u043e,\u041f\u0443\u0448\u043a\u0438\u043d\u043e, \u0418\u0432\u0430\u043d\u0442\u0435\u0435\u0432\u043a\u0430, \u041c\u041e\n 24.10.2024 \u041d\u0410\u0419\u0414\u0415\u041d\u0410 \u0441\u0435\u0440\u043e-\u0431\u0435\u043b\u0430\u044f \u043a\u043e\u0448\u043a\u0430. \u0421\u0442\u043e\u044f\u043b\u0430 \u043e\u043a\u043e\u043b\u043e \u0434\u043e\u043c\u0430 \u0438 \u043f\u0440\u043e\u0441\u0438\u043b\u0430\u0441\u044c, \u0431\u044b\u043b\u0430 \u043e\u0447\u0435\u043d\u044c \u0433\u043e\u043b\u043e\u0434\u043d\u0430\u044f, \u043f\u0443\u0441\u0442\u0438\u043b\u0438 \u0432 \u043f\u0440\u0435\u0434\u0431\u0430\u043d\u043d\u0438\u043a (\u0434\u043e\u043c\u0430 3 \u043a\u043e\u0442\u0430). \n\u0418\u0449\u0435\u043c \u0445\u043e\u0437\u044f\u0435\u0432 - \u0432\u0438\u0434\u043d\u043e, \u0447\u0442\u043e \u0434\u043e\u043c\u0430\u0448\u043d\u044f\u044f, \u043e\u0447\u0435\u043d\u044c \u043b\u0430\u0441\u043a\u043e\u0432\u0430\u044f, \u043f\u0440\u043e\u0441\u0438\u0442 \u043f\u043e\u0433\u043b\u0430\u0436\u043a\u0438, \u043d\u0435 \u0431\u043e\u0438\u0442\u0441\u044f. \n+79957901212, \u0410\u043d\u043d\u0438\u043a\u0430\n        \"\n        "},{"assistant_initiates":false,"asst_text":"Question: Products are produced by third-party manufacturers.\nlabel: Yes\n\nQuestion: Products are manufactured in Europe.\nlabel: No\n\nQuestion: Lead times range from two to three months.\nlabel: Yes\n\nQuestion: Transit time is less than three weeks.\nlabel: No\n\nQuestion: Advance orders are based on future demand forecasts.\nlabel: Yes\n\nQuestion: Inventory obsolescence decreases with excess product orders.\nlabel: No\n\nQuestion: Delays in manufacturing affect company revenues.\nlabel: Yes\n\nQuestion: All suppliers are outside of Asia.\nlabel: No","behavior":"degenerate_repetition","conversation_hash":"67d0e338bb012e0d340503dbbf9c9d96","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":2239,"n_turns_in_conversation":1,"n_words":352,"source_row_offset":30632,"source_shard":"turns-00040.parquet","timestamp":"Sun, 27 Oct 2024 19:12:45 GMT","turn_id":"cc8ef1ce2561e6efbd5ba106","turn_index":0,"user_text":"System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.\n\nStep 1: Read the paragraph carefully. \nStep 2: For each relevant task you identify, generate two short statements that are shorter than 10 words \nStep 3: Output the results in the following format:\n\nQuestion: <The statement>\nlabel: <Yes or No>\nQuestion: <Another statement>\nlabel: <Yes or No>\n...\n\nUser: All of our products are produced by third-party manufacturers, substantially all of which are located in Asia, primarily China. Lead times for inventory purchases from our Asian suppliers, from order placement to receipt of goods, generally range from approximately two to three months, of which transit time represents three to four weeks. The length of our lead times requires us to place advance manufacturing orders based on management forecasts of future demand for our products. Due to the length of our lead times, our revenue and cash flows may be negatively impacted if we do not have sufficient inventory on hand to meet customer demand for such items. In addition, our liquidity and cash flows may be negatively affected, and inventory obsolescence may increase, if the quantity of products we order exceeds customer demand for such items._If our contract manufacturers experience any delay, disruption or quality control problems in their operations, we could lose revenues, and our reputation and market share may be harmed_\nAssistant:"},{"assistant_initiates":false,"asst_text":"0","behavior":"degenerate_repetition","conversation_hash":"c02d4533bc8a4971ad0300a0a806184f","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":"Russian","model":"gpt-4o-2024-08-06","n_chars":748,"n_turns_in_conversation":1,"n_words":94,"source_row_offset":30633,"source_shard":"turns-00040.parquet","timestamp":"Sun, 27 Oct 2024 19:12:48 GMT","turn_id":"07b3a9498d838cdfcf2f7c9f","turn_index":0,"user_text":"\n        \u0427\u0435\u043b\u043e\u0432\u0435\u043a \u043f\u043e\u0442\u0435\u0440\u044f\u043b \u0441\u0432\u0435\u0433\u043e \u043b\u044e\u0431\u0438\u043c\u043e\u0433\u043e \u043f\u0438\u0442\u043e\u043c\u0446\u0430 \u0438 \u043d\u0430\u043f\u0438\u0441\u0430\u043b \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043f\u0438\u0442\u043e\u043c\u0446\u0430.\n        \u041e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043f\u0438\u0442\u043e\u043c\u0446\u0430 \u043c\u043e\u0436\u0435\u0442 \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0442\u044c \u043c\u0435\u0441\u0442\u043e \u043f\u043e\u0442\u0435\u0440\u0438, \u0446\u0432\u0435\u0442 \u043e\u0448\u0435\u0439\u043d\u0438\u043a\u0430 \u0438 \u0442.\u0434.\n        \u0422\u0430\u043a\u0436\u0435 \u0435\u0441\u0442\u044c \u043f\u043e\u0441\u0442 \u0441 \u0412\u041a \u043e \u043f\u043e\u0442\u0435\u0440\u044f\u043d\u043e\u043c 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\u0445\u043e\u0437\u044f\u0438\u043d\u0443\ud83d\ude98\n\n\u041f\u0440\u0438\u0441\u043c\u043e\u0442\u0440\u0438\u0442\u0435\u0441\u044c, \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e, \u0438\u043c\u0435\u043d\u043d\u043e \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u043f\u043e\u0434\u0430\u0440\u0438\u0442\u044c \u0414\u0436\u0443\u043b\u044c\u0431\u0430\u0440\u0441\u0443 \u0448\u0430\u043d\u0441 \u043d\u0430 \u0441\u0447\u0430\u0441\u0442\u043b\u0438\u0432\u0443\u044e \u0441\u043e\u0431\u0430\u0447\u044c\u044e \u0436\u0438\u0437\u043d\u044c, \u0430 \u043e\u043d \u0432\u0430\u043c - \u0441\u0432\u043e\u044e \u0431\u043b\u0430\u0433\u043e\u0434\u0430\u0440\u043d\u043e\u0441\u0442\u044c, \u043f\u0440\u0435\u0434\u0430\u043d\u043d\u043e\u0441\u0442\u044c \u0438 \u0431\u0435\u0437\u0443\u0441\u043b\u043e\u0432\u043d\u0443\u044e \u043b\u044e\u0431\u043e\u0432\u044c\u2764\n\n\u0414\u043b\u044f \u0442\u043e\u0433\u043e, \u0447\u0442\u043e\u0431\u044b \u043f\u0440\u0438\u044e\u0442\u0438\u0442\u044c \u0438\u043b\u0438 \u0443\u0437\u043d\u0430\u0442\u044c \u0431\u043e\u043b\u044c\u0448\u0435 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438, \u043e\u0431\u0440\u0430\u0449\u0430\u0439\u0442\u0435\u0441\u044c \u043f\u043e \u0442\u0435\u043b\u0435\u0444\u043e\u043d\u0443\n<PRESIDIO_ANONYMIZED_PHONE_NUMBER> \u042e\u043b\u0438\u044f\n\n#\u0434\u0436\u0443\u043b\u044c\u0431\u0430\u0440\u0441\u0434\u043e\u043c\u043e\u0439\n        \"\n        "},{"assistant_initiates":false,"asst_text":"```json\n{\n    \"relevant_tasks\": [\n        {\n            \"task\": \"Risk Classification\",\n            \"examples\": [\n                {\n                    \"input\": \"The paragraph illustrates significant risks associated with the COVID-19 pandemic impacting business operations.\",\n                    \"label\": \"entailment\"\n                },\n                {\n                    \"input\": \"The paragraph describes a booming economic situation with no risks presented by the COVID-19 pandemic.\",\n                    \"label\": \"non-entailment\"\n                }\n            ]\n        },\n        {\n            \"task\": \"Event Detection\",\n            \"examples\": [\n                {\n                    \"input\": \"The declaration of COVID-19 as a pandemic by the WHO in March 2020 is a major event described in the paragraph.\",\n                    \"label\": \"entailment\"\n                },\n                {\n                    \"input\": \"The paragraph highlights an event where COVID-19 was declared eradicated by the WHO.\",\n                    \"label\": \"non-entailment\"\n                }\n            ]\n        },\n        {\n            \"task\": \"Entity Recognition\",\n            \"examples\": [\n                {\n                    \"input\": \"WHO is recognized as an entity in the paragraph.\",\n                    \"label\": \"entailment\"\n                },\n                {\n                    \"input\": \"The paragraph identifies Europe as the main entity affected by the pandemic.\",\n                    \"label\": \"non-entailment\"\n                }\n            ]\n        },\n        {\n            \"task\": \"Tone Classification\",\n            \"examples\": [\n                {\n                    \"input\": \"The tone of the paragraph conveys a sense of uncertainty and concern.\",\n                    \"label\": \"entailment\"\n                },\n                {\n                    \"input\": \"The tone of the paragraph is primarily optimistic about future market stability.\",\n                    \"label\": \"non-entailment\"\n                }\n            ]\n        },\n        {\n            \"task\": \"Impact Classification\",\n            \"examples\": [\n                {\n                    \"input\": \"The paragraph describes a negative impact on business due to COVID-19-related market volatility.\",\n                    \"label\": \"entailment\"\n                },\n                {\n                    \"input\": \"The paragraph suggests a positive impact due to COVID-19 initiatives and improvements.\",\n                    \"label\": \"non-entailment\"\n                }\n            ]\n        },\n        {\n            \"task\": \"Tense Identification\",\n            \"examples\": [\n                {\n                    \"input\": \"The tense in which the WHO declared COVID-19 a pandemic is identified as past tense.\",\n                    \"label\": \"entailment\"\n                },\n                {\n                    \"input\": \"The paragraph discussing future events only uses present tense language.\",\n                    \"label\": \"non-entailment\"\n                }\n            ]\n        },\n        {\n            \"task\": \"Uncertainty Identification\",\n            \"examples\": [\n                {\n                    \"input\": \"The paragraph indicates uncertainty regarding the potential prolonged economic downturn.\",\n                    \"label\": \"entailment\"\n                },\n                {\n                    \"input\": \"The paragraph shows certainty that all business operations will continue without disruption.\",\n                    \"label\": \"non-entailment\"\n                }\n            ]\n        }\n    ]\n}\n```","behavior":"degenerate_repetition","conversation_hash":"59c2b19d6ef8848e2aa5a64e3ee4440a","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":6070,"n_turns_in_conversation":1,"n_words":648,"source_row_offset":30635,"source_shard":"turns-00040.parquet","timestamp":"Sun, 27 Oct 2024 19:12:49 GMT","turn_id":"320c3664711031a323afe6bc","turn_index":0,"user_text":"System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). \n\nStep 1: Read the paragraph carefully. \nStep 2: Automatically decide which tasks are relevant based on the paragraph\u2019s content. Relevant tasks may include, but are not limited to: \n    - Topic Classification \n    - Risk Classification\n    - Sentiment Classification \n    - Tone Classification\n    - Event Detection \n    - Entity Recognition \n    - Geographical Recognition \n    - Trend Detection \n    - Intent Detection \n    - Sector Identification \n    - Impact Classification \n    - Tense Identification (Past, Present, Future) \n    - Uncertainty Identification \n\nStep 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. \nStep 4: Output the results in the following JSON format:\n\n{\n    'relevant_tasks': [\n        {\n            'task': <The automatically selected relevant task>,\n            'examples': [\n                {\n                    'input': <The entailment example based on the paragraph>,\n                    'label': 'entailment',\n                },\n                {\n                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,\n                    'label': 'non-entailment',\n                }\n            ]\n        },\n        ...\n    ]\n}\nUser: Our business is subject to risks arising from the outbreaks of disease, such as epidemics or pandemics, including the ongoing COVID-19 pandemic. In March 2020, the World Health Organization, or the WHO, declared the COVID-19 outbreak a pandemic and recommended containment and mitigation measures worldwide. On March 13, 2020, the U.S. President announced a National Emergency relating to the disease. The widespread infection in the United States and abroad has caused significant volatility and uncertainty in U.S. and international markets, which could result in a prolonged economic downturn that may disrupt the Company\u2019s business, including by adversely affecting our ability to conduct financings on terms acceptable to us, if at all.\nAssistant:"}],"shard":{"index":40,"name":"turns-00040.parquet","rows":45683}}