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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high 1y returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 1y returns\": [\n \"preference/high\",\n \"time/1Y\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high 3y returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 3y returns\": [\n \"preference/high\",\n \"time/3Y\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high 5y returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 5y returns\": [\n \"preference/high\",\n \"time/5Y\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high 10y returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 10y returns\": [\n \"preference/high\",\n \"time/10Y\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high returns since inception"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high returns since inception\": [\n \"preference/high\",\n \"time/ITD\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with large cap exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"large cap\": [\n \"preference/high\",\n \"attribute/style/size/large_cap\"\n ]\n },\n {\n \"large cap exposure\": [\n \"sebi_classification/equity_schemes/large_cap_fund\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with mid cap exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"mid cap\": [\n \"preference/high\",\n \"attribute/style/size/mid_cap\"\n ]\n },\n {\n \"mid cap exposure\": [\n \"sebi_classification/equity_schemes/mid_cap_fund\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with small cap exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"small cap\": [\n \"preference/high\",\n \"attribute/style/size/small_cap\"\n ]\n },\n {\n \"small cap exposure\": [\n \"preference/high\",\n \"exposure/factor\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with low risk"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low risk\": [\n \"preference/low\",\n \"attribute/technical/risk\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high outperformance"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high outperformance\": [\n \"preference/high\",\n \"attribute/technical/outperformance\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high AUM"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high AUM\": [\n \"preference/high\",\n \"attribute/technical/aum\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high market cap"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high market cap\": [\n \"preference/high\",\n \"attribute/technical/market_cap\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with low cost"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low cost\": [\n \"preference/low\",\n \"attribute/cost\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with low volatility"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low volatility\": [\n \"preference/low\",\n \"attribute/technical/risk/volatility\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with low drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low drawdown\": [\n \"preference/low\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with low 7d drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low 7d drawdown\": [\n \"preference/low\",\n \"time/7D\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with low 1m drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low 1m drawdown\": [\n \"preference/low\",\n \"time/1M\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with low 3m drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low 3m drawdown\": [\n \"preference/low\",\n \"time/3M\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with low 6m drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low 6m drawdown\": [\n \"preference/low\",\n \"time/6M\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with low 1y drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low 1y drawdown\": [\n \"preference/low\",\n \"time/1Y\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with low 2y drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low 2y drawdown\": [\n \"preference/low\",\n \"time/2Y\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with low 3y drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low 3y drawdown\": [\n \"preference/low\",\n \"time/3Y\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with low 4y drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low 4y drawdown\": [\n \"preference/low\",\n \"time/4Y\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with low 5y drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low 5y drawdown\": [\n \"preference/low\",\n \"time/5Y\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with low 10y drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low 10y drawdown\": [\n \"preference/low\",\n \"time/10Y\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with low drawdown since inception"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low drawdown since inception\": [\n \"preference/low\",\n \"time/ITD\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high dividend yield"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high dividend yield\": [\n \"preference/high\",\n \"attribute/fundamental/yield/dividend\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high risk adjusted returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high risk adjusted returns\": [\n \"preference/high\",\n \"attribute/technical/returns/risk_adjusted_returns\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high Sharpe ratio"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high Sharpe ratio\": [\n \"preference/high\",\n \"attribute/technical/returns/risk_adjusted_returns/sharpe_ratio\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high Sortino ratio"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high Sortino ratio\": [\n \"preference/high\",\n \"attribute/technical/returns/risk_adjusted_returns/sortino_ratio\"\n ]\n }\n ]\n}"}]
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test_attributes
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with tech exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"tech exposure\": [\n \"preference/high\",\n \"exposure/sector/information_technology\"\n ]\n },\n {\n \"funds with tech exposure\": [\n \"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with consumer discretionary exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"consumer discretionary exposure\": [\n \"preference/high\",\n \"exposure/sector/consumer_discretionary\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with financials exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"financials exposure\": [\n \"preference/high\",\n \"exposure/sector/financials\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with health care exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"health care exposure\": [\n \"preference/high\",\n \"exposure/sector/health_care\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with industrials exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"industrials exposure\": [\n \"preference/high\",\n \"exposure/sector/industrials\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with communication services exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"communication services\": [\n \"preference/high\",\n \"exposure/sector/communication_services\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with consumer staples exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"consumer staples\": [\n \"preference/high\",\n \"exposure/sector/consumer_staples\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with energy exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"energy exposure\": [\n \"preference/high\",\n \"exposure/sector/energy\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with utilities exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"utilities exposure\": [\n \"preference/high\",\n \"exposure/sector/utilities/utilities\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with real estate exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"real estate exposure\": [\n \"preference/high\",\n \"exposure/sector/real_estate\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with materials exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"materials exposure\": [\n \"preference/high\",\n \"exposure/sector/materials\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with IT software and services exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"IT software and services\": [\n \"preference/high\",\n \"exposure/sector/information_technology/software_and_services\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with technology hardware exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"technology hardware\": [\n \"preference/high\",\n \"exposure/sector/information_technology/technology_hardware_and_equipment\"\n ]\n },\n {\n \"technology hardware exposure\": [\n \"preference/high\",\n \"exposure/sector/information_technology/technology_hardware_and_equipment\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with automobiles exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"automobiles\": [\n \"preference/high\",\n \"exposure/sector/consumer_discretionary/automobiles_and_components\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with retail exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"retail exposure\": [\n \"preference/high\",\n \"exposure/segment/atm\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with consumer durables exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"consumer durables\": [\n \"preference/high\",\n \"exposure/sector/consumer_discretionary/consumer_durables_and_apparel\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with consumer services exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"consumer services\": [\n \"preference/high\",\n \"exposure/sector/consumer_discretionary/consumer_services\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with capital goods exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"capital goods\": [\n \"preference/high\",\n \"exposure/sector/industrials/capital_goods\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with professional services exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"professional services\": [\n \"preference/high\",\n \"exposure/sector/industrials/professional_services\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with transportation exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"transportation exposure\": [\n \"preference/high\",\n \"exposure/sector/industrials/transportation\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with healthcare equipment exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"healthcare equipment\": [\n \"preference/high\",\n \"exposure/sector/health_care/health_care_equipment_and_services\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with pharmaceuticals exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"pharmaceuticals exposure\": [\n \"preference/high\",\n \"exposure/sector/health_care/pharmaceuticals_biotechnology_and_life_sciences\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with banks exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"banks exposure\": [\n \"preference/high\",\n \"exposure/sector/financials/banks\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with financial services exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"financial services\": [\n \"preference/high\",\n \"exposure/sector/financials/financial_services\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with insurance exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"insurance exposure\": [\n \"preference/high\",\n \"exposure/sector/financials/insurance\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with media and entertainment exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"media and entertainment exposure\": [\n \"preference/high\",\n \"exposure/sector/communication_services/media_and_entertainment\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with telecommunication exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"telecommunication exposure\": [\n \"preference/high\",\n \"exposure/sector/communication_services/telecommunication_services\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with consumer staples retail exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"consumer staples retail\": [\n \"preference/high\",\n \"exposure/sector/consumer_staples/consumer_staples_retail\"\n ]\n }\n ]\n}"}]
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test_exposures
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with food and beverage exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"food and beverage\": [\n \"preference/high\",\n \"exposure/sector/consumer_discretionary/consumer_discretionary_distribution_and_retail\"\n ]\n },\n {\n \"food and beverage exposure\": [\n \"preference/high\",\n \"exposure/sector/consumer_discretionary/consumer_discretionary_distribution_and_retail\"\n ]\n }\n ]\n}"}]
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test_exposures
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with household products exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"household products\": [\n \"preference/high\",\n \"exposure/sector/consumer_staples/household_and_personal_products\"\n ]\n }\n ]\n}"}]
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test_exposures
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with REITs exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"REITs\": [\n \"preference/high\",\n \"exposure/sector/real_estate/equity_real_estate_investment_trusts_reits\"\n ]\n }\n ]\n}"}]
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test_exposures
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with real estate development exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"real estate development exposure\": [\n \"preference/high\",\n \"exposure/sector/real_estate/real_estate_management_and_development\"\n ]\n }\n ]\n}"}]
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test_exposures
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with international exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"international exposure\": [\n \"preference/high\",\n \"exposure/region/international\"\n ]\n }\n ]\n}"}]
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test_exposures
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high 1d annualised returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 1d annualised returns\": [\n \"preference/high\",\n \"time/1D\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
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test_time_horizon
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high 5d annualised returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 5d annualised returns\": [\n \"preference/high\",\n \"time/5D\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
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test_time_horizon
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high 7d annualised returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 7d annualised returns\": [\n \"preference/high\",\n \"time/7D\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
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test_time_horizon
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high 1m annualised returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 1m annualised returns\": [\n \"preference/high\",\n \"time/1M\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
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test_time_horizon
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high 6m annualised returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 6m annualised returns\": [\n \"preference/high\",\n \"time/6M\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
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test_time_horizon
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high 1y annualised returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 1y annualised returns\": [\n \"preference/high\",\n \"time/1Y\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
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test_time_horizon
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high 3y annualised returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 3y annualised returns\": [\n \"preference/high\",\n \"time/3Y\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
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test_time_horizon
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high 5y annualised returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 5y annualised returns\": [\n \"preference/high\",\n \"time/5Y\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
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test_time_horizon
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high 10y annualised returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 10y annualised returns\": [\n \"preference/high\",\n \"time/10Y\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
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test_time_horizon
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me multi-cap funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"multi-cap funds\": [\n \"sebi_classification/equity_schemes/multi_cap_fund\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Suggest flexi-cap funds for long-term investment"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"flexi-cap funds\": [\n \"sebi_classification/equity_schemes/flexi_cap_fund\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Which tax saving ELSS funds are available"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"tax saving\": [\n \"objective/tax_planning\"\n ]\n },\n {\n \"ELSS\": [\n \"sebi_classification/equity_schemes/elss\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me large-cap mutual funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"large-cap\": [\n \"preference/high\",\n \"attribute/style/size/large_cap\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"large-cap mutual funds\": [\n \"sebi_classification/equity_schemes/large_cap_fund\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Suggest large & mid-cap funds for growth"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"large\": [\n \"preference/high\",\n \"attribute/style/size/large_cap\"\n ]\n },\n {\n \"mid-cap\": [\n \"preference/high\",\n \"attribute/style/size/mid_cap\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"large & mid-cap funds\": [\n \"sebi_classification/equity_schemes/large_and_mid_cap_fund\"\n ]\n },\n {\n \"growth\": [\n \"objective/capital_growth\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "What are some good mid-cap funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"mid-cap\": [\n \"preference/high\",\n \"attribute/style/size/mid_cap\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"mid-cap funds\": [\n \"sebi_classification/equity_schemes/mid_cap_fund\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me small-cap funds with long-term potential"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"small-cap\": [\n \"preference/high\",\n \"attribute/style/size/small_cap\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"small-cap funds\": [\n \"sebi_classification/equity_schemes/small_cap_fund\"\n ]\n },\n {\n \"long-term potential\": [\n \"objective/long_term_capital_appreciation\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Are there dividend yield funds I can invest in"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"dividend yield\": [\n \"preference/high\",\n \"attribute/fundamental/yield/dividend\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me value funds for long-term investing"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"value\": [\n \"preference/high\",\n \"exposure/factor/value\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"value funds\": [\n \"sebi_classification/equity_schemes/value_fund\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Suggest contra funds to diversify my portfolio"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"contra funds\": [\n \"sebi_classification/equity_schemes/contra_fund\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Looking for focused funds with concentrated holdings"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"concentrated holdings\": [\n \"preference/low\",\n \"attribute/technical/concentration\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me thematic funds in technology/healthcare"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"technology/healthcare\": [\n \"preference/high\",\n \"exposure/sector/information_technology/health_care_information_technology\"\n ]\n },\n {\n \"thematic funds\": [\n \"sebi_classification/equity_schemes/thematic_fund\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Which overnight funds are available"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"overnight funds\": [\n \"sebi_classification/debt_schemes/overnight_fund\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me liquid funds for parking money"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"liquid funds\": [\n \"sebi_classification/debt_schemes/liquid_fund\"\n ]\n },\n {\n \"parking money\": [\n \"objective/short_term_parking\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Suggest ultra short duration debt funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"ultra short duration debt funds\": [\n \"sebi_classification/debt_schemes/ultra_short_duration_fund\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Looking for low duration funds with low risk"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"low duration funds\": [\n \"sebi_classification/debt_schemes/low_duration_fund\"\n ]\n },\n {\n \"low risk\": [\n \"preference/low\",\n \"attribute/technical/risk\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me money market mutual funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"money market\": [\n \"asset_type/debt/money_market\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Suggest short duration funds for 1\u20133 years"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"short duration funds\": [\n \"sebi_classification/debt_schemes/short_duration_fund\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "What are some medium duration debt funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"medium duration debt funds\": [\n \"sebi_classification/debt_schemes/medium_duration_fund\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me medium to long duration funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"medium to long duration funds\": [\n \"sebi_classification/debt_schemes/medium_to_long_duration_fund\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Suggest long duration debt funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"long duration debt funds\": [\n \"sebi_classification/debt_schemes/long_duration_fund\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Looking for dynamic bond funds that adjust to interest rates"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"dynamic bond funds\": [\n \"sebi_classification/debt_schemes/dynamic_bond\"\n ]\n }\n ]\n}"}]
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test_sebi
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me corporate bond funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"corporate bond\": [\n \"asset_type/debt/bonds/corporate\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
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test_sebi
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Suggest credit risk funds with higher returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"credit risk\": [\n \"attribute/credit_rating\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"credit risk funds\": [\n \"sebi_classification/debt_schemes/credit_risk_fund\"\n ]\n },\n {\n \"higher returns\": [\n \"preference/high\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
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test_sebi
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Which banking & PSU funds are available"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"banking & PSU funds\": [\n \"sebi_classification/debt_schemes/banking_and_psu_fund\"\n ]\n }\n ]\n}"}]
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test_sebi
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me gilt funds with government securities"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"gilt funds\": [\n \"sebi_classification/debt_schemes/gilt_fund\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
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test_sebi
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Suggest 10-year constant duration gilt funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"10-year constant duration\": [\n \"attribute/misc/tenure/10_year_constant_duration\"\n ]\n },\n {\n \"gilt funds\": [\n \"sebi_classification/debt_schemes/gilt_fund\"\n ]\n }\n ]\n}"}]
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test_sebi
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "What are some floater funds I can invest in"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"floater funds\": [\n \"sebi_classification/debt_schemes/floater_fund\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
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test_sebi
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