myfi/parser_dataset_ner_val_v1.15 · Datasets at Hugging Face

conversations stringlengths 589 1.25k	category_labels stringclasses 9 values
[{"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": "Best funds for surplus liquidity parking"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"surplus liquidity parking\": [\n \"objective/surplus_liquidity_parking\"\n ]\n }\n ]\n}"}]	test_objectives
[{"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": "Options for short-term parking of money"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"short-term parking\": [\n \"objective/short_term_parking\"\n ]\n }\n ]\n}"}]	test_objectives
[{"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 investments for medium-term capital appreciation"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"medium-term capital appreciation\": [\n \"objective/medium_term_capital_appreciation\"\n ]\n }\n ]\n}"}]	test_objectives
[{"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 for medium to long-term capital appreciation"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"medium to long-term capital appreciation\": [\n \"objective/medium_to_long_term_capital_appreciation\"\n ]\n }\n ]\n}"}]	test_objectives
[{"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": "Investments that provide income over a target maturity period"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"target maturity period\": [\n \"objective/target_maturity_period\"\n ]\n }\n ]\n}"}]	test_objectives
[{"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 that support capital growth"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"capital growth\": [\n \"objective/capital_growth\"\n ]\n }\n ]\n}"}]	test_objectives
[{"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": "Options for income generation"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"income generation\": [\n \"objective/income_generation\"\n ]\n }\n ]\n}"}]	test_objectives
[{"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": "If I expect rates to fall, which funds should I pick?"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"expect rates to fall\": [\n \"preference/high\",\n \"attribute/fundamental/modified_duration\"\n ]\n }\n ]\n}"}]	test_debt
[{"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 which hold highly rated bonds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"highly rated\": [\n \"preference/high\",\n \"attribute/fundamental/credit_rating\"\n ]\n }\n ]\n}"}]	test_debt
[{"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 bond funds have an average maturity under 3 years?"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"bond\": [\n \"asset_type/debt/bonds\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"bond funds\": [\n \"sebi_classification/debt_schemes\"\n ]\n },\n {\n \"average maturity under 3 years\": [\n \"preference/<3\",\n \"attribute/fundamental/maturity\"\n ]\n }\n ]\n}"}]	test_debt
[{"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 debt funds with modified duration below 2"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"debt\": [\n \"asset_type/debt\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"debt funds\": [\n \"sebi_classification/debt_schemes\"\n ]\n },\n {\n \"modified duration\": [\n \"preference/<2\",\n \"attribute/fundamental/modified_duration\"\n ]\n }\n ]\n}"}]	test_debt
[{"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 debt funds that focus primarily on investment-grade bonds."}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"debt\": [\n \"asset_type/debt/bonds/investment_grade\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"debt funds\": [\n \"sebi_classification/debt_schemes\"\n ]\n },\n {\n \"investment-grade\": [\n \"preference/high\",\n \"attribute/seniority/investment_grade\"\n ]\n }\n ]\n}"}]	test_debt
[{"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 high investment in AAA rated bonds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high investment\": [\n \"preference/high\",\n \"attribute/seniority/investment\"\n ]\n },\n {\n \"AAA rated\": [\n \"preference/high\",\n \"attribute/seniority/investment_grade\"\n ]\n }\n ]\n}"}]	test_debt
[{"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": "Debt funds which invest in safe bonds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Debt\": [\n \"asset_type/debt\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"Debt funds\": [\n \"sebi_classification/debt_schemes\"\n ]\n },\n {\n \"safe bonds\": [\n \"preference/high\",\n \"attribute/seniority/investment_grade\"\n ]\n }\n ]\n}"}]	test_debt
[{"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 high investment in BB+ rated bonds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high investment\": [\n \"preference/high\",\n \"attribute/seniority/investment\"\n ]\n },\n {\n \"BB+ rated bonds\": [\n \"preference/high\",\n \"attribute/seniority/investment_grade\"\n ]\n }\n ]\n}"}]	test_debt
[{"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 that chase yield by holding sub-investment-grade bonds."}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"chase yield\": [\n \"preference/low\",\n \"attribute/fundamental/yield\"\n ]\n },\n {\n \"sub-investment-grade\": [\n \"preference/high\",\n \"attribute/seniority/junk_bonds\"\n ]\n }\n ]\n}"}]	test_debt
[{"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": "non-prime fixed income funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"non-prime\": [\n \"preference/high\",\n \"attribute/seniority/junk_bonds\"\n ]\n },\n {\n \"fixed income\": [\n \"asset_type/debt\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"fixed income funds\": [\n \"sebi_classification/debt_schemes\"\n ]\n }\n ]\n}"}]	test_debt
[{"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": "Rank bond funds by turnover ratio"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"bond\": [\"asset_type/debt\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"bond funds\": [\"sebi_classification/debt_schemes\"]}, {\"turnover ratio\": [\"preference/low\", \"attribute/technical/turnover\"]}]}"}]	test_debt
[{"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 turnover ratios for opportunistic trading?"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high turnover ratios\": [\n \"preference/low\",\n \"attribute/technical/turnover\"\n ]\n }\n ]\n}"}]	test_debt
[{"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": "List mutual funds that maintain a buy-and-hold strategy"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"buy-and-hold strategy\": [\n \"preference/low\",\n \"attribute/technical/turnover\"\n ]\n }\n ]\n}"}]	test_debt
[{"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 HDFC Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"HDFC\": [\n \"amc/HDFC\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"Mutual Fund schemes\": [\n \"sebi_classification/hybrid_schemes\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "motilal oswal mutual funds?"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"motilal oswal\": [\n \"amc/Motilal Oswal\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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 Mirae Asset funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Mirae Asset\": [\n \"amc/Mirae Asset\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "ICICI Prudential AMC mutual funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"ICICI Prudential AMC\": [\n \"amc/ICICI Prudential AMC\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "SBI Mutual Fund options"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"SBI\": [\n \"amc/SBI\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Nippon India mutual funds list"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Nippon India\": [\n \"amc/Nippon India\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Axis Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Axis\": [\n \"amc/Axis\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Kotak Mutual Fund details"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Kotak Mutual Fund\": [\n \"amc/Kotak Mutual Fund\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "UTI Mutual Fund plans"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"UTI Mutual Fund\": [\n \"amc/UTI Mutual Fund\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Aditya Birla Sun Life mutual funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Aditya Birla Sun Life\": [\n \"amc/Aditya Birla Sun Life\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Franklin Templeton mutual funds in India"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Franklin Templeton\": [\n \"amc/Franklin Templeton\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "PGIM India mutual funds?"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"PGIM India\": [\n \"amc/PGIM India\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "DSP Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"DSP\": [\n \"amc/DSP\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Canara Robeco mutual funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Canara Robeco\": [\n \"amc/Canara Robeco\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "HSBC Mutual Fund options"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"HSBC Mutual Fund\": [\n \"amc/HSBC Mutual Fund\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Mahindra Manulife mutual funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Mahindra Manulife\": [\n \"amc/Mahindra Manulife\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Navi AMC funds to invest"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Navi AMC\": [\n \"amc/Navi\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Parag Parikh Mutual Fund list"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Parag Parikh\": [\n \"amc/Parag Parikh\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Tata Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Tata\": [\n \"amc/Tata\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"Mutual Fund schemes\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Union Mutual Fund options"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"Union Mutual Fund\": [\n \"amc/Union\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Baroda BNP Paribas mutual funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Baroda BNP Paribas\": [\n \"amc/Baroda BNP Paribas\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Bandhan AMC mutual funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Bandhan AMC\": [\n \"amc/Bandhan AMC\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "WhiteOak Capital Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"WhiteOak Capital\": [\n \"amc/WhiteOak Capital\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "360 ONE Mutual Fund list"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"360 ONE Mutual Fund\": [\n \"amc/360 ONE\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Helios Mutual Fund options"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Helios Mutual Fund\": [\n \"amc/Helios\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Groww Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Groww\": [\n \"amc/Groww\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"Mutual Fund schemes\": [\n \"sebi_classification/hybrid_schemes\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Edelweiss Mutual Fund list"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Edelweiss\": [\n \"amc/Edelweiss\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Invesco India mutual funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Invesco\": [\n \"amc/Invesco\"\n ]\n },\n {\n \"India\": [\n \"preference/high\",\n \"exposure/region/international/asia/india\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "JM Financial Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"JM Financial\": [\n \"amc/JM Financial\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "LIC Mutual Fund details"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"LIC\": [\n \"amc/LIC\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Taurus Mutual Fund options"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Taurus Mutual Fund\": [\n \"amc/Taurus\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Shriram Mutual Fund list"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Shriram Mutual Fund\": [\n \"amc/Shriram\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Quantum Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Quantum Mutual Fund\": [\n \"amc/Quantum\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Sundaram Mutual Fund details"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Sundaram Mutual Fund\": [\n \"amc/Sundaram\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Indiabulls Mutual Fund options"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Indiabulls Mutual Fund\": [\n \"amc/Indiabulls\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "IDFC (Bandhan) Mutual Fund list"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"IDFC (Bandhan) Mutual Fund\": [\n \"amc/IDFC (Bandhan)\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Trust Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Trust Mutual Fund\": [\n \"amc/Trust\"\n ]\n },\n {\n \"Mutual Fund schemes\": [\n \"sebi_classification/hybrid_schemes\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Samco Mutual Fund options"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Samco Mutual Fund\": [\n \"amc/Samco\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "NJ Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"NJ Mutual Fund\": [\n \"amc/NJ\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"Mutual Fund schemes\": [\n \"sebi_classification/solution_oriented_schemes\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "ITI Mutual Fund list"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"ITI\": [\n \"amc/ITI\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "IIFL Mutual Fund details"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"details\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"IIFL Mutual Fund\": [\n \"amc/IIFL\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "YES Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"YES Mutual Fund\": [\n \"amc/YES\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"Mutual Fund schemes\": [\n \"sebi_classification/debt_schemes\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "PPFAS Mutual Fund options"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"PPFAS Mutual Fund\": [\n \"amc/PPFAS\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "BOI AXA Mutual Fund list"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"BOI AXA Mutual Fund\": [\n \"amc/BOI AXA\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "IndiaFirst Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"IndiaFirst\": [\n \"amc/IndiaFirst\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Essel Mutual Fund details"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Essel Mutual Fund\": [\n \"amc/Essel\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Principal Mutual Fund options"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"Principal Mutual Fund\": [\n \"amc/Principal\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Reliance Mutual Fund (Nippon India) schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Reliance Mutual Fund\": [\n \"amc/Reliance\"\n ]\n },\n {\n \"Nippon India\": [\n \"amc/Nippon India\"\n ]\n },\n {\n \"schemes\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Benchmark Mutual Fund list"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"Benchmark\": [\n \"amc/Benchmark\"\n ]\n }\n ]\n}"}]	test_amc
[{"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": "Morgan Stanley Mutual Fund (legacy) in India"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Morgan Stanley Mutual Fund\": [\n \"amc/Morgan Stanley\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]	test_amc
[{"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'm looking for funds for capital appreciation over a long term"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"capital appreciation\": [\n \"objective/long_term_capital_appreciation\"\n ]\n }\n ]\n}"}]	old_test_suite
[{"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": "How can I invest in funds to save on tax?"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"save on tax\": [\n \"objective/tax_planning\"\n ]\n }\n ]\n}"}]	old_test_suite
[{"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 all funds by UTI"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"UTI\": [\n \"amc/UTI\"\n ]\n }\n ]\n}"}]	old_test_suite
[{"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 largecap funds with AUM 7,500cr and expense ratio costlier than 0.80%"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"largecap\": [\n \"preference/high\",\n \"attribute/style/size/large_cap\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"largecap funds\": [\n \"sebi_classification/equity_schemes/large_cap_fund\"\n ]\n },\n {\n \"AUM 7,500cr\": [\n \"preference/>7500cr\",\n \"attribute/technical/aum\"\n ]\n },\n {\n \"expense ratio costlier than 0.80%\": [\n \"preference/>0.8%\",\n \"attribute/cost/expense_ratio\"\n ]\n }\n ]\n}"}]	old_test_suite
[{"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-fee index funds with AUM at least 5 crore and 1Y returns 12%"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Low-fee\": [\n \"preference/low\",\n \"attribute/cost\"\n ]\n },\n {\n \"index\": [\n \"preference/high\",\n \"exposure/factor/index\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"index funds\": [\n \"sebi_classification/other/index_funds_etfs\"\n ]\n },\n {\n \"AUM at least 5 crore\": [\n \"preference/>5cr\",\n \"attribute/technical/aum\"\n ]\n },\n {\n \"1Y returns 12%\": [\n \"preference/>12%\",\n \"time/1Y\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]	old_test_suite
[{"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 that hold RELIANCE"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"hold RELIANCE\": [\n \"exposure/ticker/RELIANCE\"\n ]\n }\n ]\n}"}]	old_test_suite
[{"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 hold shares of ITC?"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"hold shares of ITC\": [\n \"exposure/ticker/ITC\"\n ]\n }\n ]\n}"}]	old_test_suite
[{"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 Jio Funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Jio Funds\": [\n \"ticker/Jio Funds\"\n ]\n }\n ]\n}"}]	old_test_suite
[{"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 Motilal Funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Motilal\": [\n \"amc/Motilal\"\n ]\n },\n {\n \"Funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]	old_test_suite

[{"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": "Best funds for surplus liquidity parking"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"surplus liquidity parking\": [\n \"objective/surplus_liquidity_parking\"\n ]\n }\n ]\n}"}]

test_objectives

[{"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": "Options for short-term parking of money"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"short-term parking\": [\n \"objective/short_term_parking\"\n ]\n }\n ]\n}"}]

test_objectives

[{"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 investments for medium-term capital appreciation"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"medium-term capital appreciation\": [\n \"objective/medium_term_capital_appreciation\"\n ]\n }\n ]\n}"}]

test_objectives

[{"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 for medium to long-term capital appreciation"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"medium to long-term capital appreciation\": [\n \"objective/medium_to_long_term_capital_appreciation\"\n ]\n }\n ]\n}"}]

test_objectives

[{"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": "Investments that provide income over a target maturity period"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"target maturity period\": [\n \"objective/target_maturity_period\"\n ]\n }\n ]\n}"}]

test_objectives

[{"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 that support capital growth"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"capital growth\": [\n \"objective/capital_growth\"\n ]\n }\n ]\n}"}]

test_objectives

[{"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": "Options for income generation"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"income generation\": [\n \"objective/income_generation\"\n ]\n }\n ]\n}"}]

test_objectives

[{"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": "If I expect rates to fall, which funds should I pick?"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"expect rates to fall\": [\n \"preference/high\",\n \"attribute/fundamental/modified_duration\"\n ]\n }\n ]\n}"}]

test_debt

[{"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 which hold highly rated bonds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"highly rated\": [\n \"preference/high\",\n \"attribute/fundamental/credit_rating\"\n ]\n }\n ]\n}"}]

test_debt

[{"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 bond funds have an average maturity under 3 years?"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"bond\": [\n \"asset_type/debt/bonds\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"bond funds\": [\n \"sebi_classification/debt_schemes\"\n ]\n },\n {\n \"average maturity under 3 years\": [\n \"preference/<3\",\n \"attribute/fundamental/maturity\"\n ]\n }\n ]\n}"}]

test_debt

[{"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 debt funds with modified duration below 2"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"debt\": [\n \"asset_type/debt\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"debt funds\": [\n \"sebi_classification/debt_schemes\"\n ]\n },\n {\n \"modified duration\": [\n \"preference/<2\",\n \"attribute/fundamental/modified_duration\"\n ]\n }\n ]\n}"}]

test_debt

[{"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 debt funds that focus primarily on investment-grade bonds."}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"debt\": [\n \"asset_type/debt/bonds/investment_grade\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"debt funds\": [\n \"sebi_classification/debt_schemes\"\n ]\n },\n {\n \"investment-grade\": [\n \"preference/high\",\n \"attribute/seniority/investment_grade\"\n ]\n }\n ]\n}"}]

test_debt

[{"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 high investment in AAA rated bonds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high investment\": [\n \"preference/high\",\n \"attribute/seniority/investment\"\n ]\n },\n {\n \"AAA rated\": [\n \"preference/high\",\n \"attribute/seniority/investment_grade\"\n ]\n }\n ]\n}"}]

test_debt

[{"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": "Debt funds which invest in safe bonds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Debt\": [\n \"asset_type/debt\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"Debt funds\": [\n \"sebi_classification/debt_schemes\"\n ]\n },\n {\n \"safe bonds\": [\n \"preference/high\",\n \"attribute/seniority/investment_grade\"\n ]\n }\n ]\n}"}]

test_debt

[{"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 high investment in BB+ rated bonds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high investment\": [\n \"preference/high\",\n \"attribute/seniority/investment\"\n ]\n },\n {\n \"BB+ rated bonds\": [\n \"preference/high\",\n \"attribute/seniority/investment_grade\"\n ]\n }\n ]\n}"}]

test_debt

[{"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 that chase yield by holding sub-investment-grade bonds."}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"chase yield\": [\n \"preference/low\",\n \"attribute/fundamental/yield\"\n ]\n },\n {\n \"sub-investment-grade\": [\n \"preference/high\",\n \"attribute/seniority/junk_bonds\"\n ]\n }\n ]\n}"}]

test_debt

[{"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": "non-prime fixed income funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"non-prime\": [\n \"preference/high\",\n \"attribute/seniority/junk_bonds\"\n ]\n },\n {\n \"fixed income\": [\n \"asset_type/debt\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"fixed income funds\": [\n \"sebi_classification/debt_schemes\"\n ]\n }\n ]\n}"}]

test_debt

[{"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": "Rank bond funds by turnover ratio"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"bond\": [\"asset_type/debt\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"bond funds\": [\"sebi_classification/debt_schemes\"]}, {\"turnover ratio\": [\"preference/low\", \"attribute/technical/turnover\"]}]}"}]

test_debt

[{"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 turnover ratios for opportunistic trading?"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high turnover ratios\": [\n \"preference/low\",\n \"attribute/technical/turnover\"\n ]\n }\n ]\n}"}]

test_debt

[{"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": "List mutual funds that maintain a buy-and-hold strategy"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"buy-and-hold strategy\": [\n \"preference/low\",\n \"attribute/technical/turnover\"\n ]\n }\n ]\n}"}]

test_debt

[{"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 HDFC Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"HDFC\": [\n \"amc/HDFC\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"Mutual Fund schemes\": [\n \"sebi_classification/hybrid_schemes\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "motilal oswal mutual funds?"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"motilal oswal\": [\n \"amc/Motilal Oswal\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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 Mirae Asset funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Mirae Asset\": [\n \"amc/Mirae Asset\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "ICICI Prudential AMC mutual funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"ICICI Prudential AMC\": [\n \"amc/ICICI Prudential AMC\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "SBI Mutual Fund options"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"SBI\": [\n \"amc/SBI\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Nippon India mutual funds list"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Nippon India\": [\n \"amc/Nippon India\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Axis Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Axis\": [\n \"amc/Axis\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Kotak Mutual Fund details"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Kotak Mutual Fund\": [\n \"amc/Kotak Mutual Fund\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "UTI Mutual Fund plans"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"UTI Mutual Fund\": [\n \"amc/UTI Mutual Fund\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Aditya Birla Sun Life mutual funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Aditya Birla Sun Life\": [\n \"amc/Aditya Birla Sun Life\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Franklin Templeton mutual funds in India"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Franklin Templeton\": [\n \"amc/Franklin Templeton\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "PGIM India mutual funds?"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"PGIM India\": [\n \"amc/PGIM India\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "DSP Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"DSP\": [\n \"amc/DSP\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Canara Robeco mutual funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Canara Robeco\": [\n \"amc/Canara Robeco\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "HSBC Mutual Fund options"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"HSBC Mutual Fund\": [\n \"amc/HSBC Mutual Fund\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Mahindra Manulife mutual funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Mahindra Manulife\": [\n \"amc/Mahindra Manulife\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Navi AMC funds to invest"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Navi AMC\": [\n \"amc/Navi\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Parag Parikh Mutual Fund list"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Parag Parikh\": [\n \"amc/Parag Parikh\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Tata Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Tata\": [\n \"amc/Tata\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"Mutual Fund schemes\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Union Mutual Fund options"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"Union Mutual Fund\": [\n \"amc/Union\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Baroda BNP Paribas mutual funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Baroda BNP Paribas\": [\n \"amc/Baroda BNP Paribas\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Bandhan AMC mutual funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Bandhan AMC\": [\n \"amc/Bandhan AMC\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "WhiteOak Capital Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"WhiteOak Capital\": [\n \"amc/WhiteOak Capital\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "360 ONE Mutual Fund list"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"360 ONE Mutual Fund\": [\n \"amc/360 ONE\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Helios Mutual Fund options"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Helios Mutual Fund\": [\n \"amc/Helios\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Groww Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Groww\": [\n \"amc/Groww\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"Mutual Fund schemes\": [\n \"sebi_classification/hybrid_schemes\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Edelweiss Mutual Fund list"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Edelweiss\": [\n \"amc/Edelweiss\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Invesco India mutual funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Invesco\": [\n \"amc/Invesco\"\n ]\n },\n {\n \"India\": [\n \"preference/high\",\n \"exposure/region/international/asia/india\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "JM Financial Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"JM Financial\": [\n \"amc/JM Financial\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "LIC Mutual Fund details"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"LIC\": [\n \"amc/LIC\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Taurus Mutual Fund options"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Taurus Mutual Fund\": [\n \"amc/Taurus\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Shriram Mutual Fund list"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Shriram Mutual Fund\": [\n \"amc/Shriram\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Quantum Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Quantum Mutual Fund\": [\n \"amc/Quantum\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Sundaram Mutual Fund details"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Sundaram Mutual Fund\": [\n \"amc/Sundaram\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Indiabulls Mutual Fund options"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Indiabulls Mutual Fund\": [\n \"amc/Indiabulls\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "IDFC (Bandhan) Mutual Fund list"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"IDFC (Bandhan) Mutual Fund\": [\n \"amc/IDFC (Bandhan)\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Trust Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Trust Mutual Fund\": [\n \"amc/Trust\"\n ]\n },\n {\n \"Mutual Fund schemes\": [\n \"sebi_classification/hybrid_schemes\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Samco Mutual Fund options"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Samco Mutual Fund\": [\n \"amc/Samco\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "NJ Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"NJ Mutual Fund\": [\n \"amc/NJ\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"Mutual Fund schemes\": [\n \"sebi_classification/solution_oriented_schemes\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "ITI Mutual Fund list"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"ITI\": [\n \"amc/ITI\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "IIFL Mutual Fund details"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"details\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"IIFL Mutual Fund\": [\n \"amc/IIFL\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "YES Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"YES Mutual Fund\": [\n \"amc/YES\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"Mutual Fund schemes\": [\n \"sebi_classification/debt_schemes\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "PPFAS Mutual Fund options"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"PPFAS Mutual Fund\": [\n \"amc/PPFAS\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "BOI AXA Mutual Fund list"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"BOI AXA Mutual Fund\": [\n \"amc/BOI AXA\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "IndiaFirst Mutual Fund schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"IndiaFirst\": [\n \"amc/IndiaFirst\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Essel Mutual Fund details"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Essel Mutual Fund\": [\n \"amc/Essel\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Principal Mutual Fund options"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"Principal Mutual Fund\": [\n \"amc/Principal\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Reliance Mutual Fund (Nippon India) schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Reliance Mutual Fund\": [\n \"amc/Reliance\"\n ]\n },\n {\n \"Nippon India\": [\n \"amc/Nippon India\"\n ]\n },\n {\n \"schemes\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Benchmark Mutual Fund list"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"Benchmark\": [\n \"amc/Benchmark\"\n ]\n }\n ]\n}"}]

test_amc

[{"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": "Morgan Stanley Mutual Fund (legacy) in India"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Morgan Stanley Mutual Fund\": [\n \"amc/Morgan Stanley\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]

test_amc

[{"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'm looking for funds for capital appreciation over a long term"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"capital appreciation\": [\n \"objective/long_term_capital_appreciation\"\n ]\n }\n ]\n}"}]

old_test_suite

[{"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": "How can I invest in funds to save on tax?"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"save on tax\": [\n \"objective/tax_planning\"\n ]\n }\n ]\n}"}]

old_test_suite

[{"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 all funds by UTI"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"UTI\": [\n \"amc/UTI\"\n ]\n }\n ]\n}"}]

old_test_suite

[{"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 largecap funds with AUM 7,500cr and expense ratio costlier than 0.80%"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"largecap\": [\n \"preference/high\",\n \"attribute/style/size/large_cap\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"largecap funds\": [\n \"sebi_classification/equity_schemes/large_cap_fund\"\n ]\n },\n {\n \"AUM 7,500cr\": [\n \"preference/>7500cr\",\n \"attribute/technical/aum\"\n ]\n },\n {\n \"expense ratio costlier than 0.80%\": [\n \"preference/>0.8%\",\n \"attribute/cost/expense_ratio\"\n ]\n }\n ]\n}"}]

old_test_suite

[{"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-fee index funds with AUM at least 5 crore and 1Y returns 12%"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Low-fee\": [\n \"preference/low\",\n \"attribute/cost\"\n ]\n },\n {\n \"index\": [\n \"preference/high\",\n \"exposure/factor/index\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"index funds\": [\n \"sebi_classification/other/index_funds_etfs\"\n ]\n },\n {\n \"AUM at least 5 crore\": [\n \"preference/>5cr\",\n \"attribute/technical/aum\"\n ]\n },\n {\n \"1Y returns 12%\": [\n \"preference/>12%\",\n \"time/1Y\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]

old_test_suite

[{"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 that hold RELIANCE"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"hold RELIANCE\": [\n \"exposure/ticker/RELIANCE\"\n ]\n }\n ]\n}"}]

old_test_suite

[{"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 hold shares of ITC?"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"hold shares of ITC\": [\n \"exposure/ticker/ITC\"\n ]\n }\n ]\n}"}]

old_test_suite

[{"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 Jio Funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Jio Funds\": [\n \"ticker/Jio Funds\"\n ]\n }\n ]\n}"}]

old_test_suite

[{"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 Motilal Funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Motilal\": [\n \"amc/Motilal\"\n ]\n },\n {\n \"Funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]

old_test_suite