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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": "funds with beta less than 0.8"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"beta less than 0.8\": [\"preference/<0.8\", \"attribute/technical/beta\"]}]}"}]
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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 large-cap funds with low NAV"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"large-cap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"large-cap funds\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}, {\"low NAV\": [\"preference/low\", \"attribute/technical/price/nav\"]}]}"}]
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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": "find utilities sector funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"utilities sector\": [\"preference/high\", \"exposure/sector/utilities\"]}, {\"utilities sector funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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 inception length over 10 years"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"inception length over 10 years\": [\"preference/>10y\", \"attribute/track_record/inception/length\"]}]}"}]
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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": "funds with high trend in consumer discretionary sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high trend\": [\"preference/high\", \"attribute/technical/trend\"]}, {\"consumer discretionary sector\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}, {\"funds with high trend in consumer discretionary sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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 funds with a 10-year inception length"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"10-year inception length\": [\"preference/high\", \"time/10Y\", \"attribute/track_record/inception/length\"]}]}"}]
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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": "recommend some ETFs with high liquidity"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"ETFs\": [\"vehicle/funds/etf\"]}, {\"ETFs with high liquidity\": [\"sebi_classification/other/index_funds_etfs\"]}]}"}]
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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": "are there funds with a high inception length?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high inception length\": [\"preference/high\", \"attribute/track_record/inception/length\"]}]}"}]
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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": "find funds with low tracking error"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low tracking error\": [\"preference/low\", \"attribute/technical/tracking_error\"]}]}"}]
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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": "mutual funds focusing on high growth"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"high growth\": [\"preference/high\", \"exposure/factor/growth\"]}]}"}]
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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": "funds with low inception date"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low inception date\": [\"preference/low\", \"attribute/track_record/inception/date\"]}]}"}]
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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": "midcap funds with low AUM"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"low AUM\": [\"preference/low\", \"attribute/technical/aum\"]}, {\"midcap\": [\"preference/high\", \"attribute/style/size/mid_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"midcap funds\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}]}"}]
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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": "funds with low drawdown risk"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low drawdown risk\": [\"preference/low\", \"attribute/technical/risk/drawdown\"]}]}"}]
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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": "tech funds in downtrend recently"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"tech\": [\"preference/high\", \"exposure/sector/information_technology\"]}, {\"tech funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}, {\"downtrend recently\": [\"time/1W\", \"attribute/technical/trend/down_trend\"]}]}"}]
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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 liquidity in consumer discretionary"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"consumer discretionary\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}]}"}]
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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 healthcare equipment funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"healthcare equipment\": [\"preference/high\", \"exposure/sector/health_care/health_care_equipment_and_services\"]}, {\"healthcare equipment funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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 and midcap exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high returns\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}, {\"midcap exposure\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}]}"}]
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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": "funds with low inception date length"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low inception date length\": [\"preference/low\", \"attribute/track_record/inception/length\"]}]}"}]
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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 funds with high AUM and low exit load?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high AUM\": [\"preference/high\", \"attribute/technical/aum\"]}, {\"low exit load\": [\"preference/low\", \"attribute/cost/exit_load\"]}]}"}]
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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 mutual funds with high liquidity exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}]}"}]
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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": "funds in downtrend with high financial sector exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"downtrend\": [\"attribute/technical/trend/down_trend\"]}, {\"high financial sector exposure\": [\"preference/high\", \"exposure/sector/financials\"]}]}"}]
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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": "funds with high consumer discretionary exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high consumer discretionary exposure\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}]}"}]
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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": "mutual funds with high growth in the last year"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"high growth\": [\"preference/high\", \"time/1Y\", \"attribute/technical/trend/up_trend\"]}]}"}]
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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": "funds focused on consumer discretionary with high dividend yield"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"consumer discretionary\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}, {\"high dividend yield\": [\"preference/high\", \"attribute/fundamental/yield/dividend\"]}, {\"funds focused on consumer discretionary\": [\"sebi_classification/equity_schemes/dividend_yield_fund\"]}]}"}]
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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": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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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": "can i see some funds with low drawdown in the last year"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low drawdown\": [\"preference/low\", \"time/1Y\", \"attribute/technical/risk/drawdown\"]}]}"}]
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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 utilities sector funds with high vwap"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"utilities sector\": [\"preference/high\", \"exposure/sector/utilities\"]}, {\"utilities sector funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}, {\"high vwap\": [\"preference/high\", \"attribute/technical/price/vwap\"]}]}"}]
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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 funds with low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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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": "funds with low NAV and high volume"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low NAV\": [\"preference/low\", \"attribute/technical/price/nav\"]}, {\"high volume\": [\"preference/high\", \"attribute/technical/volume\"]}]}"}]
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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 low risk funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"low risk\": [\"preference/low\", \"attribute/technical/risk/drawdown\"]}, {\"funds\": [\"vehicle/funds\"]}]}"}]
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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": "large-cap funds with high drawing down"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"large-cap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"large-cap funds\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}, {\"high drawing down\": [\"preference/high\", \"attribute/technical/risk/drawdown\"]}]}"}]
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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": "funds with low NAV and high liquidity"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low NAV\": [\"preference/low\", \"attribute/technical/price/nav\"]}, {\"high liquidity\": [\"preference/high\", \"attribute/technical/volume\"]}]}"}]
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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": "low volatility equity funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}, {\"equity\": [\"asset_type/equity\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"equity funds\": [\"sebi_classification/equity_schemes\"]}]}"}]
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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": "funds with high NAV in the past month"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high NAV\": [\"preference/high\", \"time/1M\", \"attribute/technical/price/nav\"]}]}"}]
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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 funds have a high exposure to energy sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high exposure to energy sector\": [\"preference/high\", \"exposure/sector/energy\"]}]}"}]
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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": "looking for funds with high dividend yield"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high dividend yield\": [\"preference/high\", \"attribute/fundamental/yield/dividend\"]}]}"}]
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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": "active funds in telecommunications sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"telecommunications sector\": [\"preference/high\", \"exposure/sector/communication_services/telecommunication_services\"]}, {\"funds in telecommunications sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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 funds with high drawdown last month"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high drawdown last month\": [\"preference/high\", \"time/1M\", \"attribute/technical/risk/drawdown\"]}]}"}]
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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 telecom exposure recently"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high telecom exposure\": [\"preference/high\", \"time/1W\", \"exposure/sector/communication_services/telecommunication_services\"]}]}"}]
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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": "looking for funds with low exit load and exposure to consumer discretionary"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low exit load\": [\"preference/low\", \"attribute/cost/exit_load\"]}, {\"consumer discretionary\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}]}"}]
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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 funds have high AUM and focus on technology sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high AUM\": [\"preference/high\", \"attribute/technical/aum\"]}, {\"technology sector\": [\"preference/high\", \"exposure/sector/information_technology\"]}, {\"focus on technology sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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": "funds with high inception"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high inception\": [\"preference/high\", \"attribute/track_record/inception\"]}]}"}]
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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 defensive sector funds?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"defensive sector funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}, {\"defensive sector\": [\"preference/high\", \"exposure/sector/utilities\"]}, {\"defensive sector\": [\"preference/high\", \"exposure/sector/consumer_staples\"]}]}"}]
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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": "find funds with low expense ratio and high exposure to technology"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low expense ratio\": [\"preference/low\", \"attribute/cost/expense_ratio\"]}, {\"high exposure to technology\": [\"preference/high\", \"exposure/sector/information_technology\"]}]}"}]
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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 services exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"telecommunication services\": [\"preference/high\", \"exposure/sector/communication_services/telecommunication_services\"]}]}"}]
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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 mutual funds have high AUM and focus on pharmaceuticals?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds\"]}, {\"high AUM\": [\"preference/high\", \"attribute/technical/aum\"]}, {\"pharmaceuticals\": [\"preference/high\", \"exposure/sector/health_care/pharmaceuticals_biotechnology_and_life_sciences\"]}, {\"funds focus on pharmaceuticals\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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": "find funds with high telecom exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high telecom exposure\": [\"preference/high\", \"exposure/sector/communication_services/telecommunication_services\"]}, {\"funds with high telecom exposure\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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 focusing on pharmaceuticals with low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"pharmaceuticals\": [\"preference/high\", \"exposure/sector/health_care/pharmaceuticals_biotechnology_and_life_sciences\"]}, {\"funds focusing on pharmaceuticals\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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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": "funds with high volume"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high volume\": [\"preference/high\", \"attribute/technical/volume\"]}]}"}]
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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": "recommend funds with high AUM"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high AUM\": [\"preference/high\", \"attribute/technical/aum\"]}]}"}]
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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 tracking error"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high tracking error\": [\"preference/high\", \"attribute/technical/tracking_error\"]}]}"}]
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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 average volume"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high average volume\": [\"preference/high\", \"attribute/technical/volume/average_volume\"]}]}"}]
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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": "need funds with average volume above 1 million"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"average volume\": [\"preference/>1M\", \"attribute/technical/volume/average_volume\"]}]}"}]
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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": "find mutual funds with low exit loads in real estate sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"low exit loads\": [\"preference/low\", \"attribute/cost/exit_load\"]}, {\"real estate sector\": [\"preference/high\", \"exposure/sector/real_estate\"]}, {\"mutual funds with low exit loads in real estate sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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 the consumer discretionary sector funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"consumer discretionary sector\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"consumer discretionary sector funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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": "tech funds with high growth potential"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"tech\": [\"preference/high\", \"exposure/sector/information_technology\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"tech funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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": "midcap mutual funds with low expense ratio"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"midcap\": [\"preference/high\", \"attribute/style/size/mid_cap\"]}, {\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"midcap mutual funds\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}, {\"low expense ratio\": [\"preference/low\", \"attribute/cost/expense_ratio\"]}]}"}]
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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": "funds focusing on technology hardware"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"technology hardware\": [\"preference/high\", \"exposure/sector/information_technology/technology_hardware_and_equipment\"]}, {\"funds focusing on technology hardware\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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 from SBI with low volatility and high returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"SBI\": [\"amc/SBI\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}, {\"high returns\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}]}"}]
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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": "funds with low volatility in consumer discretionary sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}, {\"consumer discretionary sector\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}]}"}]
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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": "real estate funds with high AUM"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"real estate\": [\"preference/high\", \"exposure/sector/real_estate\"]}, {\"real estate funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}, {\"high AUM\": [\"preference/high\", \"attribute/technical/aum\"]}]}"}]
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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 funds with high dividend yield in the consumer staples sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high dividend yield\": [\"preference/high\", \"attribute/fundamental/yield/dividend\"]}, {\"consumer staples\": [\"preference/high\", \"exposure/sector/consumer_staples\"]}, {\"funds with high dividend yield\": [\"sebi_classification/equity_schemes/dividend_yield_fund\"]}]}"}]
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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": "mutual funds with high tech exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"high tech exposure\": [\"preference/high\", \"exposure/sector/information_technology/software_and_services\"]}]}"}]
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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": "funds with high volume in the past week"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high volume\": [\"preference/high\", \"time/1W\", \"attribute/technical/volume\"]}]}"}]
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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 tracking error"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low tracking error\": [\"preference/low\", \"attribute/technical/tracking_error\"]}]}"}]
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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": "I want low exit load funds in real estate sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"low exit load\": [\"preference/low\", \"attribute/cost/exit_load\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"real estate sector\": [\"preference/high\", \"exposure/sector/real_estate\"]}]}"}]
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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": "downtrend real estate funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"downtrend\": [\"attribute/technical/trend/down_trend\"]}, {\"real estate\": [\"preference/high\", \"exposure/sector/real_estate\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"real estate funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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 funds with a focus on real estate"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"real estate\": [\"preference/high\", \"exposure/sector/real_estate/real_estate_management_and_development\"]}, {\"funds with a focus on real estate\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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": "funds with high average volume trading"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high average volume trading\": [\"preference/high\", \"attribute/technical/volume/average_volume\"]}]}"}]
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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": "funds with high inception date and low value"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high inception date\": [\"preference/high\", \"attribute/track_record/inception/date\"]}, {\"low value\": [\"preference/low\", \"exposure/factor/value\"]}]}"}]
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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 funds have high trend movement in the last three month?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high trend movement\": [\"preference/high\", \"time/3M\", \"attribute/technical/trend\"]}]}"}]
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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 dividend yield funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"dividend yield\": [\"preference/high\", \"attribute/fundamental/yield/dividend\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"dividend yield funds\": [\"sebi_classification/equity_schemes/dividend_yield_fund\"]}]}"}]
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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": "funds with high vwap trending upwards"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high vwap\": [\"preference/high\", \"attribute/technical/price/vwap\"]}, {\"trending upwards\": [\"attribute/technical/trend/up_trend\"]}]}"}]
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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": "top funds with low inception dates and exposure to health care"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low inception dates\": [\"preference/low\", \"attribute/track_record/inception/date\"]}, {\"health care\": [\"preference/high\", \"exposure/sector/health_care\"]}]}"}]
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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": "funds with high telecommunication sector exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high telecommunication sector exposure\": [\"preference/high\", \"exposure/sector/communication_services/telecommunication_services\"]}]}"}]
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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 stocks with more than 500 crores market cap"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"stocks\": [\"vehicle/stock\"]}, {\"more than 500 crores market cap\": [\"preference/>500cr\", \"attribute/technical/market_cap\"]}]}"}]
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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": "tech funds with high volume"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high volume\": [\"preference/high\", \"attribute/technical/volume\"]}, {\"tech\": [\"preference/high\", \"exposure/sector/information_technology\"]}, {\"tech funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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": "utilities sector funds with high AUM"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"utilities sector\": [\"preference/high\", \"exposure/sector/utilities\"]}, {\"utilities sector funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}, {\"high AUM\": [\"preference/high\", \"attribute/technical/aum\"]}]}"}]
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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": "funds in down trend with relative volume above 1.5"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"down trend\": [\"attribute/technical/trend/down_trend\"]}, {\"relative volume above 1.5\": [\"preference/>1.5\", \"attribute/technical/volume/relative_volume\"]}]}"}]
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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 relative volume"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high relative volume\": [\"preference/high\", \"attribute/technical/volume/relative_volume\"]}]}"}]
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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 some utilities sector funds with high yields"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"utilities sector\": [\"preference/high\", \"exposure/sector/utilities\"]}, {\"utilities sector funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}, {\"high yields\": [\"preference/high\", \"attribute/fundamental/yield\"]}]}"}]
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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": "funds with a down trend in volume"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"down trend\": [\"attribute/technical/trend/down_trend\"]}, {\"volume\": [\"preference/low\", \"attribute/technical/volume\"]}]}"}]
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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": "find me funds with high dividend yield"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high dividend yield\": [\"preference/high\", \"attribute/fundamental/yield/dividend\"]}]}"}]
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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 funds with low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/volatility\"]}]}"}]
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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 expense ratios in the healthcare sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low expense ratios\": [\"preference/low\", \"attribute/cost/expense_ratio\"]}, {\"healthcare sector\": [\"preference/high\", \"exposure/sector/health_care\"]}]}"}]
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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": "high yield funds in consumer discretionary sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"high yield\": [\"preference/high\", \"attribute/fundamental/yield\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"consumer discretionary sector\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}, {\"funds in consumer discretionary sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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": "Recommend a fund with high dividend yield"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"fund\": [\"vehicle/funds\"]}, {\"high dividend yield\": [\"preference/high\", \"attribute/fundamental/yield/dividend\"]}, {\"fund with high dividend yield\": [\"sebi_classification/equity_schemes/dividend_yield_fund\"]}]}"}]
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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": "funds with high relative volume"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high relative volume\": [\"preference/high\", \"attribute/technical/volume/relative_volume\"]}]}"}]
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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": "funds with low expense ratio and high AUM"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low expense ratio\": [\"preference/low\", \"attribute/cost/expense_ratio\"]}, {\"high AUM\": [\"preference/high\", \"attribute/technical/aum\"]}]}"}]
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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": "funds in healthcare equipment sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"healthcare equipment sector\": [\"preference/high\", \"exposure/sector/health_care/health_care_equipment_and_services\"]}, {\"funds in healthcare equipment sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high market cap\": [\"preference/high\", \"attribute/technical/market_cap\"]}]}"}]
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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": "funds with high trend in the tech sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high trend\": [\"preference/high\", \"attribute/technical/trend\"]}, {\"tech sector\": [\"preference/high\", \"exposure/sector/information_technology\"]}, {\"funds in the tech sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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 volume"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high volume\": [\"preference/high\", \"attribute/technical/volume\"]}]}"}]
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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 high dividend yield equity funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"high dividend yield\": [\"preference/high\", \"attribute/fundamental/yield/dividend\"]}, {\"equity\": [\"asset_type/equity\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"dividend yield equity funds\": [\"sebi_classification/equity_schemes/dividend_yield_fund\"]}]}"}]
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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": "Funds with AUM below 1 crore"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"Funds\": [\"vehicle/funds\"]}, {\"AUM below 1 crore\": [\"preference/<1cr\", \"attribute/technical/aum\"]}]}"}]
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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": "small cap funds with high liquidity"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"small cap\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"small cap funds\": [\"sebi_classification/equity_schemes/small_cap_fund\"]}]}"}]
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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": "find funds with low market volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low market volatility\": [\"preference/low\", \"attribute/technical/volatility\"]}]}"}]
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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": "funds with high volume in IT sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high volume\": [\"preference/high\", \"attribute/technical/volume\"]}, {\"IT sector\": [\"preference/high\", \"exposure/sector/information_technology/software_and_services\"]}, {\"funds with high volume in IT sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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": "find funds with high relative volume in pharma sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high relative volume\": [\"preference/high\", \"attribute/technical/volume/relative_volume\"]}, {\"pharma sector\": [\"preference/high\", \"exposure/sector/health_care/pharmaceuticals_biotechnology_and_life_sciences\"]}, {\"funds with high relative volume in pharma sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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 a high dividend yield"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high dividend yield\": [\"preference/high\", \"attribute/fundamental/yield/dividend\"]}, {\"funds with a high dividend yield\": [\"sebi_classification/equity_schemes/dividend_yield_fund\"]}]}"}]
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