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'\u8d2d\u4e70\u4e86\u8fd9\u672c\u6807\u4ef789\u5143\u7684\u4e66\uff0c\u89c9\u5f97\u7269\u6709\u6240\u503c\u3002\u5185\u5bb9\u8be6\u5b9e\u4e14\u8bbe\u8ba1\u7cbe\u7f8e\uff0c\u6574\u4f53\u6765\u8bf4\u6027\u4ef7\u6bd4\u8fd8\u662f\u53ef\u4ee5\u63a5\u53d7\u7684\uff0c\u503c\u5f97\u63a8\u8350\u7ed9\u559c\u6b22\u9605\u8bfb\u7684\u4eba\u3002', '\u867d\u7136\u4e66\u7684\u5185\u5bb9\u5f15\u4eba\u5165\u80dc\uff0c\u4f46\u5728\u5b98\u65b9\u7f51\u7ad9\u82b1150\u5143\u4e70\u5230\u540e\uff0c\u6211\u53d1\u73b0\u5176\u4ed6\u5e73\u53f0\u6709\u6298\u6263\u4ef7\uff0c\u8d2d\u4e66\u4f53\u9a8c\u4e0d\u7b97\u6109\u5feb\uff0c\u5efa\u8bae\u5927\u5bb6\u591a\u6bd4\u4ef7\u8d2d\u4e70\u3002']","behavior":"degenerate_repetition","conversation_hash":"8b929ee85d2277d19fb0e7b27d2fb022","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":"Chinese","model":"gpt-4o-2024-08-06","n_chars":460,"n_turns_in_conversation":1,"n_words":19,"source_row_offset":31273,"source_shard":"turns-00033.parquet","timestamp":"Sat, 12 Oct 2024 17:00:14 GMT","turn_id":"9d76e370893b242df515feca","turn_index":0,"user_text":"Assistant: \nUser: System: you are a helpful assistant.\nUser: \u8bc4\u4ef7\u7ef4\u5ea6:\u4ef7\u683c\n\u5546\u54c1\u884c\u4e1a:\u4e66\u7c4d\n\u4efb\u52a1\uff1a\u8bf7\u4f60\u6839\u636e\u8bc4\u4ef7\u7ef4\u5ea6\u548c\u5546\u54c1\u884c\u4e1a\u51993\u6761\u771f\u5b9e\u7684\u5546\u54c1\u8bc4\u4ef7,\u6bcf\u6761\u5546\u54c1\u8bc4\u4ef7\u7684\u8868\u8ff0\u5c3d\u91cf\u4e30\u5bcc\u591a\u6837\uff0c\u5546\u54c1\u8bc4\u8bba\u8206\u60c5\u53ef\u4ee5\u662f\u6b63\u5411\u6216\u8005\u662f\u8d1f\u5411\uff0c\u8bc4\u8bba\u548c\u8bc4\u8bba\u4e4b\u95f4\u5185\u5bb9\u4e0d\u8981\u9ad8\u5ea6\u91cd\u5408\uff0c\u8bc4\u8bba\u53e5\u5f0f\u4e0d\u8981\u592a\u5355\u4e00\uff0c\u8bc4\u4ef7\u770b\u8d77\u6765\u771f\u5b9e\n\u6bcf\u6761\u8bc4\u8bba\u5728\u63cf\u8ff0\u4ef7\u683c\u65f6\u9700\u8981\u63cf\u8ff0\u5230\u67d0\u4e2a\u5177\u4f53\u4ef7\u683c\n\u8fd4\u56de\u683c\u5f0f['comment1','comment2','comment3'......]\uff0c\u5982\u679c\u8bc4\u4ef7\u7ef4\u5ea6\u548c\u5546\u54c1\u884c\u4e1a\u6ca1\u6709\u5173\u8054\u8fd4\u56de[]\nAssistant:\nAssistant:"},{"assistant_initiates":false,"asst_text":"['\u8fd9\u6b3e\u5a74\u513f\u5c3f\u4e0d\u6e7f\u7684\u900f\u6c14\u6027\u8ba9\u6211\u975e\u5e38\u6ee1\u610f\uff0c\u5b9d\u5b9d\u4e00\u6574\u665a\u4f7f\u7528\u540e\uff0c\u5c0f\u5c41\u5c41\u4f9d\u65e7\u5e72\u723d\uff0c\u6ca1\u6709\u4efb\u4f55\u6f6e\u6e7f\u7684\u611f\u89c9\uff0c\u503c\u5f97\u63a8\u8350\u3002', '\u4e70\u4e86\u8fd9\u6b3e\u5a74\u513f\u8fde\u4f53\u8863\uff0c\u867d\u7136\u6b3e\u5f0f\u53ef\u7231\uff0c\u4f46\u900f\u6c14\u6027\u5b9e\u5728\u4e0d\u6562\u606d\u7ef4\uff0c\u5b9d\u5b9d\u7a7f\u7740\u4e0d\u8fc7\u51e0\u4e2a\u5c0f\u65f6\uff0c\u80cc\u4e0a\u5c31\u5f00\u59cb\u5192\u6c57\uff0c\u5e0c\u671b\u6539\u826f\u9762\u6599\u3002', '\u8fd9\u6b3e\u5a74\u513f\u5e8a\u57ab\u7684\u900f\u6c14\u6027\u975e\u5e38\u51fa\u8272\uff0c\u5c24\u5176\u662f\u5728\u708e\u70ed\u7684\u590f\u5929\uff0c\u5b9d\u5b9d\u8eba\u7740\u4e5f\u4e0d\u5bb9\u6613\u51fa\u6c57\uff0c\u8868\u9762\u6750\u8d28\u660e\u663e\u4f18\u4e8e\u5176\u4ed6\u54c1\u724c\u7684\u4ea7\u54c1\u3002']","behavior":"degenerate_repetition","conversation_hash":"dcdb06ade101d3dc7faa065d4ba4b95f","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-4o-2024-08-06","n_chars":453,"n_turns_in_conversation":1,"n_words":19,"source_row_offset":31274,"source_shard":"turns-00033.parquet","timestamp":"Sat, 12 Oct 2024 17:00:14 GMT","turn_id":"ed42f3bf182823162bf46a1b","turn_index":0,"user_text":"Assistant: \nUser: System: you are a helpful assistant.\nUser: \u8bc4\u4ef7\u7ef4\u5ea6:\u900f\u6c14\u6027\n\u5546\u54c1\u884c\u4e1a:\u6bcd\u5a74\u7528\u54c1\n\u4efb\u52a1\uff1a\u8bf7\u4f60\u6839\u636e\u8bc4\u4ef7\u7ef4\u5ea6\u548c\u5546\u54c1\u884c\u4e1a\u51993\u6761\u771f\u5b9e\u7684\u5546\u54c1\u8bc4\u4ef7,\u6bcf\u6761\u5546\u54c1\u8bc4\u4ef7\u7684\u8868\u8ff0\u5c3d\u91cf\u4e30\u5bcc\u591a\u6837\uff0c\u5546\u54c1\u8bc4\u8bba\u8206\u60c5\u53ef\u4ee5\u662f\u6b63\u5411\u6216\u8005\u662f\u8d1f\u5411\uff0c\u8bc4\u8bba\u548c\u8bc4\u8bba\u4e4b\u95f4\u5185\u5bb9\u4e0d\u8981\u9ad8\u5ea6\u91cd\u5408\uff0c\u8bc4\u8bba\u53e5\u5f0f\u4e0d\u8981\u592a\u5355\u4e00\uff0c\u8bc4\u4ef7\u770b\u8d77\u6765\u771f\u5b9e\n\u6bcf\u6761\u8bc4\u8bba\u5728\u63cf\u8ff0\u900f\u6c14\u6027\u65f6\u9700\u8981\u63cf\u8ff0\u5230\u67d0\u4e2a\u5177\u4f53\u900f\u6c14\u6027\n\u8fd4\u56de\u683c\u5f0f['comment1','comment2','comment3'......]\uff0c\u5982\u679c\u8bc4\u4ef7\u7ef4\u5ea6\u548c\u5546\u54c1\u884c\u4e1a\u6ca1\u6709\u5173\u8054\u8fd4\u56de[]\nAssistant:\nAssistant:"},{"assistant_initiates":false,"asst_text":"['\u8fd9\u6b3e\u7537\u88c5\u5939\u514b\u6574\u4f53\u8bbe\u8ba1\u5f88\u8d5e\uff0c\u6b3e\u5f0f\u4e5f\u5f88\u6f6e\u6d41\uff0c\u4f46\u662f\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u9762\u6599\u76f8\u5bf9\u6bd4\u8f83\u654f\u611f\uff0c\u6d17\u6da4\u65f6\u6700\u597d\u4f7f\u7528\u51b7\u6c34\u624b\u6d17\uff0c\u907f\u514d\u6d17\u8863\u673a\u7529\u5e72\u53ef\u80fd\u5bfc\u81f4\u7684\u53d8\u5f62\u3002', '\u8fd9\u6761\u5973\u88c5\u8fde\u8863\u88d9\u7a7f\u7740\u975e\u5e38\u8212\u9002\uff0c\u5c24\u5176\u662f\u5728\u590f\u5929\uff0c\u975e\u5e38\u6e05\u51c9\u6750\u8d28\u8212\u9002\u3002\u4f46\u4e00\u5b9a\u8981\u6ce8\u610f\uff0c\u5b83\u7684\u5e03\u6599\u5f88\u5bb9\u6613\u94a9\u4e1d\uff0c\u7a7f\u7684\u65f6\u5019\u5c3d\u91cf\u907f\u514d\u548c\u7c97\u7cd9\u7269\u54c1\u63a5\u89e6\u3002', '\u6211\u4e70\u7684\u8fd9\u6b3e\u725b\u4ed4\u88e4\u7248\u578b\u4e0d\u9519\uff0c\u4f46\u662f\u6709\u4e00\u70b9\u9700\u8981\u6ce8\u610f\uff0c\u521d\u6b21\u6d17\u65f6\u5efa\u8bae\u5206\u5f00\u6e05\u6d17\uff0c\u56e0\u4e3a\u5b83\u6709\u8f7b\u5fae\u6389\u8272\uff0c\u907f\u514d\u67d3\u5230\u5176\u4ed6\u8863\u7269\u4e0a\u3002']","behavior":"degenerate_repetition","conversation_hash":"db0a46bfa4cb403c547d8bd8082e6fde","conversation_redacted":false,"conversation_toxic":false,"country":"Brazil","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Chinese","model":"gpt-4o-2024-08-06","n_chars":487,"n_turns_in_conversation":1,"n_words":19,"source_row_offset":31275,"source_shard":"turns-00033.parquet","timestamp":"Sat, 12 Oct 2024 17:00:14 GMT","turn_id":"b3403b30addd1c60d2f477ca","turn_index":0,"user_text":"Assistant: \nUser: System: you are a helpful assistant.\nUser: \u8bc4\u4ef7\u7ef4\u5ea6:\u4f7f\u7528\u6ce8\u610f\u4e8b\u9879\n\u5546\u54c1\u884c\u4e1a:\u7537\u88c5\u5973\u88c5\n\u4efb\u52a1\uff1a\u8bf7\u4f60\u6839\u636e\u8bc4\u4ef7\u7ef4\u5ea6\u548c\u5546\u54c1\u884c\u4e1a\u51993\u6761\u771f\u5b9e\u7684\u5546\u54c1\u8bc4\u4ef7,\u6bcf\u6761\u5546\u54c1\u8bc4\u4ef7\u7684\u8868\u8ff0\u5c3d\u91cf\u4e30\u5bcc\u591a\u6837\uff0c\u5546\u54c1\u8bc4\u8bba\u8206\u60c5\u53ef\u4ee5\u662f\u6b63\u5411\u6216\u8005\u662f\u8d1f\u5411\uff0c\u8bc4\u8bba\u548c\u8bc4\u8bba\u4e4b\u95f4\u5185\u5bb9\u4e0d\u8981\u9ad8\u5ea6\u91cd\u5408\uff0c\u8bc4\u8bba\u53e5\u5f0f\u4e0d\u8981\u592a\u5355\u4e00\uff0c\u8bc4\u4ef7\u770b\u8d77\u6765\u771f\u5b9e\n\u6bcf\u6761\u8bc4\u8bba\u5728\u63cf\u8ff0\u4f7f\u7528\u6ce8\u610f\u4e8b\u9879\u65f6\u9700\u8981\u63cf\u8ff0\u5230\u67d0\u4e2a\u5177\u4f53\u4f7f\u7528\u6ce8\u610f\u4e8b\u9879\n\u8fd4\u56de\u683c\u5f0f['comment1','comment2','comment3'......]\uff0c\u5982\u679c\u8bc4\u4ef7\u7ef4\u5ea6\u548c\u5546\u54c1\u884c\u4e1a\u6ca1\u6709\u5173\u8054\u8fd4\u56de[]\nAssistant:\nAssistant:"},{"assistant_initiates":false,"asst_text":"Context \u0111\u00e3 cho ch\u1ee9a th\u00f4ng tin v\u1ec1 c\u00e1c ch\u01b0\u01a1ng tr\u00ecnh h\u1ecdc v\u00e0 c\u00e1c th\u00f4ng b\u00e1o li\u00ean quan \u0111\u1ebfn ki\u1ec3m tra ti\u1ebfng Anh v\u00e0 c\u00e1c b\u1eb1ng c\u1ea5p c\u1ee7a c\u00e1c tr\u01b0\u1eddng \u0110\u1ea1i h\u1ecdc Flinders v\u00e0 \u0110\u1ea1i h\u1ecdc Bond, c\u00f9ng v\u1edbi chi ti\u1ebft v\u1ec1 m\u1ed9t s\u1ed1 ch\u01b0\u01a1ng tr\u00ecnh c\u1eed nh\u00e2n kh\u00e1c nhau. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 b\u1ed9 c\u00e2u h\u1ecfi v\u00e0 tr\u1ea3 l\u1eddi d\u1ef1a tr\u00ean context n\u00e0y:\n\nQuestion: Th\u00f4ng b\u00e1o li\u00ean quan \u0111\u1ebfn l\u1ecbch thi \u0111\u1ea7u ra 2022 \u0111\u1ec1 c\u1eadp \u0111\u1ebfn \u0111i\u1ec1u g\u00ec?\nAnswer: Th\u00f4ng b\u00e1o l\u1ecbch thi \u0111\u1ea7u ra 2022 (\u0110\u1ee3t 1) s\u1ebd cung c\u1ea5p th\u00f4ng tin chi ti\u1ebft v\u1ec1 th\u1eddi gian v\u00e0 \u0111\u1ecba \u0111i\u1ec3m di\u1ec5n ra k\u1ef3 thi.\n\nQuestion: M\u1eabu b\u1eb1ng t\u1ed1t nghi\u1ec7p c\u1ee7a \u0110\u1ea1i h\u1ecdc Flinders v\u00e0 Bond c\u00f3 g\u00ec kh\u00e1c bi\u1ec7t?\nAnswer: Context kh\u00f4ng cung c\u1ea5p th\u00f4ng tin chi ti\u1ebft v\u1ec1 s\u1ef1 kh\u00e1c bi\u1ec7t gi\u1eefa m\u1eabu b\u1eb1ng t\u1ed1t nghi\u1ec7p c\u1ee7a \u0110\u1ea1i h\u1ecdc Flinders v\u00e0 Bond, ch\u1ec9 li\u1ec7t k\u00ea r\u1eb1ng c\u00f3 c\u00e1c m\u1eabu b\u1eb1ng t\u1eeb hai tr\u01b0\u1eddng n\u00e0y.\n\nQuestion: Ch\u01b0\u01a1ng tr\u00ecnh h\u1ecdc n\u00e0o li\u00ean quan \u0111\u1ebfn ng\u00e0nh Qu\u1ea3n tr\u1ecb du l\u1ecbch?\nAnswer: Ch\u01b0\u01a1ng tr\u00ecnh h\u1ecdc Qu\u1ea3n tr\u1ecb du l\u1ecbch l\u00e0 m\u1ed9t trong c\u00e1c ch\u01b0\u01a1ng tr\u00ecnh \u0111\u01b0\u1ee3c li\u1ec7t k\u00ea trong context.\n\nQuestion: \u0110\u1ea1i h\u1ecdc Flinders (\u00dac) c\u00f3 vai tr\u00f2 g\u00ec trong danh s\u00e1ch c\u00e1c \u0111\u1ed1i t\u00e1c?\nAnswer: \u0110\u1ea1i h\u1ecdc Flinders (\u00dac) \u0111\u01b0\u1ee3c li\u1ec7t k\u00ea l\u00e0 m\u1ed9t trong nh\u1eefng \u0111\u1ed1i t\u00e1c, c\u00f3 th\u1ec3 li\u00ean quan \u0111\u1ebfn c\u00e1c ch\u01b0\u01a1ng tr\u00ecnh h\u1ecdc ho\u1eb7c h\u1ee3p t\u00e1c gi\u00e1o d\u1ee5c.\n\nQuestion: C\u00f3 nh\u1eefng ng\u00e0nh h\u1ecdc c\u1ee5 th\u1ec3 n\u00e0o \u0111\u01b0\u1ee3c li\u1ec7t k\u00ea li\u00ean quan \u0111\u1ebfn kinh doanh?\nAnswer: C\u00e1c ng\u00e0nh h\u1ecdc li\u00ean quan \u0111\u1ebfn kinh doanh \u0111\u01b0\u1ee3c li\u1ec7t k\u00ea bao g\u1ed3m C\u1eed nh\u00e2n kinh doanh, Kinh doanh qu\u1ed1c t\u1ebf, Qu\u1ea3n tr\u1ecb nh\u00e2n l\u1ef1c, Marketing, Qu\u1ea3n tr\u1ecb kinh doanh v\u00e0 Qu\u1ea3n tr\u1ecb v\u00e0 \u0111\u1ed5i m\u1edbi.\n\nQuestion: Ch\u01b0\u01a1ng tr\u00ecnh h\u1ecdc n\u00e0o t\u1eadp trung v\u00e0o l\u0129nh v\u1ef1c ng\u00f4n ng\u1eef v\u00e0 ng\u00f4n ng\u1eef Anh?\nAnswer: Ch\u01b0\u01a1ng tr\u00ecnh h\u1ecdc C\u1eed nh\u00e2n ng\u00f4n ng\u1eef v\u00e0 ch\u01b0\u01a1ng tr\u00ecnh h\u1ecdc Ng\u00f4n ng\u1eef Anh t\u1eadp trung v\u00e0o l\u0129nh v\u1ef1c li\u00ean quan \u0111\u1ebfn ng\u00f4n ng\u1eef.","behavior":"degenerate_repetition","conversation_hash":"1769cb5752722114861b302b48ab9367","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":"Vietnamese","model":"gpt-4o-2024-08-06","n_chars":4687,"n_turns_in_conversation":1,"n_words":865,"source_row_offset":31276,"source_shard":"turns-00033.parquet","timestamp":"Sat, 12 Oct 2024 17:00:14 GMT","turn_id":"26ed1155a7975d5b069baf19","turn_index":0,"user_text":"Assistant: \nUser: System: \nYour task is to read a text, analyze it, and extract as much useful information as possible in the form of question and answer pairs. Instead of asking simple or general questions, focus on detailed, factual questions that help curious users or students better understand the content. Questions should highlight specific information about objects, events, or concepts in context.\n\nSteps:\n1. Read and analyze the text: Identify main topics, important keywords, and hidden meanings in the content.\n2. Identify important elements: Look for specific details, events, or descriptions that raise questions about their role or meaning.\n3. Asking factual questions: Formulating questions that someone trying to gain a deeper understanding of a text might ask\u2014questions that focus on clarifying, providing context, or further explaining a particular point or concept.\n4. Providing detailed answers: Providing comprehensive, context-rich, and complete answers to specific questions posed.\n5. Ensure correct format: The output must be clearly formatted, following the following structure:\nQuestion: <A detailed and factual question about a specific object, event or concept>\nAnswer: <A complete and contextual answer that clarifies the issue or concept raised in the question>\nImportant:\n1. 'Question in Output must be answered from the context'\n2. 'The answer must be derived from the context. No answer means not mentioned or not known.'\nSpecific example: Context: Marie Curie l\u00e0 m\u1ed9t nh\u00e0 khoa h\u1ecdc n\u1ed5i ti\u1ebfng v\u1edbi nh\u1eefng \u0111\u00f3ng g\u00f3p quan tr\u1ecdng trong l\u0129nh v\u1ef1c nghi\u00ean c\u1ee9u ph\u00f3ng x\u1ea1. B\u00e0 l\u00e0 ng\u01b0\u1eddi \u0111\u1ea7u ti\u00ean ph\u00e1t hi\u1ec7n ra hai nguy\u00ean t\u1ed1 h\u00f3a h\u1ecdc m\u1edbi, radium v\u00e0 polonium. Marie Curie c\u0169ng l\u00e0 ng\u01b0\u1eddi ph\u1ee5 n\u1eef \u0111\u1ea7u ti\u00ean gi\u00e0nh gi\u1ea3i Nobel v\u00e0 l\u00e0 ng\u01b0\u1eddi duy nh\u1ea5t trong l\u1ecbch s\u1eed gi\u00e0nh gi\u1ea3i Nobel \u1edf hai l\u0129nh v\u1ef1c kh\u00e1c nhau: V\u1eadt l\u00fd v\u00e0 H\u00f3a h\u1ecdc.\n\nOutput:\nQuestion: Trong b\u1ed1i c\u1ea3nh n\u00e0o Marie Curie ph\u00e1t hi\u1ec7n ra c\u00e1c nguy\u00ean t\u1ed1 radium v\u00e0 polonium?\nAnswer: Marie Curie ph\u00e1t hi\u1ec7n ra radium v\u00e0 polonium khi ti\u1ebfn h\u00e0nh nghi\u00ean c\u1ee9u chuy\u00ean s\u00e2u v\u1ec1 ph\u00f3ng x\u1ea1, m\u1ed9t l\u0129nh v\u1ef1c khoa h\u1ecdc m\u1edbi m\u1ebb v\u00e0o th\u1eddi \u0111i\u1ec3m \u0111\u00f3.\nQuestion: Gi\u1ea3i Nobel trong V\u1eadt l\u00fd v\u00e0 H\u00f3a h\u1ecdc c\u00f3 \u00fd ngh\u0129a g\u00ec \u0111\u1ed1i v\u1edbi s\u1ef1 nghi\u1ec7p khoa h\u1ecdc c\u1ee7a Marie Curie?\nAnswer: Vi\u1ec7c gi\u00e0nh gi\u1ea3i Nobel \u1edf c\u1ea3 hai l\u0129nh v\u1ef1c V\u1eadt l\u00fd v\u00e0 H\u00f3a h\u1ecdc ch\u1ee9ng t\u1ecf s\u1ef1 xu\u1ea5t s\u1eafc c\u1ee7a Marie Curie trong nhi\u1ec1u l\u0129nh v\u1ef1c nghi\u00ean c\u1ee9u, g\u00f3p ph\u1ea7n \u0111\u1ecbnh h\u00ecnh n\u1ec1n khoa h\u1ecdc hi\u1ec7n \u0111\u1ea1i.\n\nContext:\n\nUser: Ki\u1ec3m tra ti\u1ebfng Anh \u0111\u1ea7u v\u00e0o.\nTh\u00f4ng b\u00e1o l\u1ecbch thi \u0111\u1ea7u ra 2022 (\u0110\u1ee3t 1).\nM\u1eabu b\u1eb1ng t\u1ed1t nghi\u1ec7p.\nB\u1eb1ng C\u1eed nh\u00e2n \u0110\u1ea1i h\u1ecdc Flinders.\nB\u1eb1ng C\u1eed nh\u00e2n \u0110\u1ea1i h\u1ecdc Bond.\nCh\u01b0\u01a1ng tr\u00ecnh h\u1ecdc C\u1eed nh\u00e2n kinh doanh.\nCh\u01b0\u01a1ng tr\u00ecnh h\u1ecdc Kinh doanh qu\u1ed1c t\u1ebf.\nCh\u01b0\u01a1ng tr\u00ecnh h\u1ecdc Qu\u1ea3n tr\u1ecb nh\u00e2n l\u1ef1c.\nCh\u01b0\u01a1ng tr\u00ecnh h\u1ecdc Marketing.\nCh\u01b0\u01a1ng tr\u00ecnh h\u1ecdc Qu\u1ea3n tr\u1ecb kinh doanh.\nCh\u01b0\u01a1ng tr\u00ecnh h\u1ecdc Qu\u1ea3n tr\u1ecb du l\u1ecbch.\nCh\u01b0\u01a1ng tr\u00ecnh h\u1ecdc Qu\u1ea3n tr\u1ecb v\u00e0 \u0111\u1ed5i m\u1edbi.\nCh\u01b0\u01a1ng tr\u00ecnh h\u1ecdc C\u1eed nh\u00e2n th\u01b0\u01a1ng m\u1ea1i.\nCh\u01b0\u01a1ng tr\u00ecnh h\u1ecdc T\u00e0i ch\u00ednh.\nCh\u01b0\u01a1ng tr\u00ecnh h\u1ecdc Kinh t\u1ebf kinh doanh.\nCh\u01b0\u01a1ng tr\u00ecnh h\u1ecdc K\u1ebf to\u00e1n.\nCh\u01b0\u01a1ng tr\u00ecnh h\u1ecdc Big Data.\nCh\u01b0\u01a1ng tr\u00ecnh h\u1ecdc C\u1eed nh\u00e2n ng\u00f4n ng\u1eef.\nCh\u01b0\u01a1ng tr\u00ecnh h\u1ecdc Ng\u00f4n ng\u1eef Anh.\n\u0110\u1ed1i t\u00e1c \u0110\u1ea1i h\u1ecdc Flinders (\u00dac).\nOutput in Vietnamese and follow example format, don't talk nonsense:\n\nAssistant:\nAssistant:"}],"shard":{"index":33,"name":"turns-00033.parquet","rows":41420}}