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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Suggest fund of funds investing overseas"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"fund of funds\": [\n \"sebi_classification/other/fund_of_funds_overseas_domestic\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
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test_sebi
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me index funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"index funds\": [\n \"sebi_classification/other/index_funds_etfs\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Looking for retirement funds with long-term horizon"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"retirement funds\": [\n \"sebi_classification/solution_oriented_schemes/retirement_fund\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me children\u2019s education planning funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"children\u2019s education planning\": [\n \"objective/child_education\"\n ]\n },\n {\n \"children\u2019s education planning funds\": [\n \"sebi_classification/solution_oriented_schemes/childrens_fund\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me conservative hybrid funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"conservative hybrid funds\": [\n \"sebi_classification/hybrid_schemes/conservative_hybrid_fund\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Suggest balanced hybrid funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"balanced hybrid funds\": [\n \"sebi_classification/hybrid_schemes/balanced_hybrid_fund\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Looking for aggressive hybrid funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"aggressive hybrid funds\": [\n \"sebi_classification/hybrid_schemes/aggressive_hybrid_fund\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me balanced advantage funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"balanced advantage funds\": [\n \"sebi_classification/hybrid_schemes/balanced_advantage_fund\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Suggest multi-asset allocation funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"multi-asset allocation\": [\n \"sebi_classification/hybrid_schemes/multi_asset_allocation\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "What arbitrage funds are available"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"arbitrage funds\": [\n \"sebi_classification/hybrid_schemes/arbitrage_fund\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me equity savings funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"equity savings funds\": [\n \"sebi_classification/hybrid_schemes/equity_savings\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "looking for Equity Schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Equity Schemes\": [\n \"sebi_classification/equity_schemes\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Find me debt schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"debt\": [\n \"asset_type/debt\"\n ]\n },\n {\n \"schemes\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "hybrid funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"hybrid funds\": [\n \"sebi_classification/hybrid_schemes\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Recommend some Solution-oriented schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Solution-oriented schemes\": [\n \"sebi_classification/solution_oriented_schemes\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Find me the best mutual funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"best\": [\n \"preference/high\",\n \"attribute/technical/performance\"\n ]\n },\n {\n \"mutual funds\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me some ETFs"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"ETFs\": [\n \"vehicle/funds/etf\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "What are some execellent investment options"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"investment options\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Looking for Instruments"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Instruments\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Best MFs"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Best\": [\n \"preference/high\",\n \"attribute/technical/performance\"\n ]\n },\n {\n \"MFs\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Looking to invest in exchange-traded funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"exchange-traded funds\": [\n \"vehicle/funds/etf\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "what are all the Investments in my portfolio"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Investments\": [\n \"vehicle/portfolio\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Top Shares"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Top Shares\": [\n \"preference/high\",\n \"attribute/misc/trending\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Recommend a Basket of funds for me to invest in"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Basket\": [\n \"vehicle/funds/basket\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Top NFOs"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"NFOs\": [\n \"vehicle/mode/nfo\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "what are some decent New fund offers right now"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"decent\": [\n \"preference/high\",\n \"attribute/technical/performance\"\n ]\n },\n {\n \"New fund offers\": [\n \"attribute/misc/new_fund_offer\"\n ]\n }\n ]\n}"}]
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test_sebi
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Looking for investments that support retirement"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"retirement\": [\n \"objective/retirement\"\n ]\n },\n {\n \"investments that support retirement\": [\n \"sebi_classification/solution_oriented_schemes/retirement_fund\"\n ]\n }\n ]\n}"}]
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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 child education"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"child education\": [\n \"objective/child_education\"\n ]\n },\n {\n \"funds for child education\": [\n \"sebi_classification/solution_oriented_schemes/childrens_fund\"\n ]\n }\n ]\n}"}]
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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 options for long-term capital appreciation"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"long-term capital appreciation\": [\n \"objective/long_term_capital_appreciation\"\n ]\n }\n ]\n}"}]
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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": "Funds that help with tax planning"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"tax planning\": [\n \"objective/tax_planning\"\n ]\n }\n ]\n}"}]
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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": "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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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\"]}]}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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 \"Mutual Fund schemes\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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 \"attribute/portfolio_manager/Parag Parikh\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]
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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}"}]
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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 \"ticker/Union Mutual Fund\"\n ]\n }\n ]\n}"}]
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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}"}]
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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}"}]
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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}"}]
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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 \"ticker/360 ONE Mutual Fund\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]
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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 \"ticker/Helios 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": "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}"}]
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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}"}]
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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}"}]
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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}"}]
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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}"}]
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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 \"ticker/Taurus Mutual Fund\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]
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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 Mutual Fund\"\n ]\n }\n ]\n}"}]
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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 Mutual Fund\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]
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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 Mutual Fund\"\n ]\n },\n {\n \"details\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
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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 Mutual Fund\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]
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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) Mutual Fund\"\n ]\n }\n ]\n}"}]
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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 \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"Mutual Fund schemes\": [\n \"sebi_classification/debt_schemes\"\n ]\n },\n {\n \"Mutual Fund schemes\": [\n \"sebi_classification/hybrid_schemes\"\n ]\n }\n ]\n}"}]
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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 Mutual Fund\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]
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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 \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"Mutual Fund schemes\": [\n \"sebi_classification/solution_oriented_schemes\"\n ]\n }\n ]\n}"}]
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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 \"ticker/ITI\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]
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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 Mutual Fund\"\n ]\n }\n ]\n}"}]
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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 \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"Mutual Fund schemes\": [\n \"sebi_classification/debt_schemes\"\n ]\n }\n ]\n}"}]
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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 \"PPFAS\": [\n \"ticker/PPFAS\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n },\n {\n \"PPFAS Mutual Fund\": [\n \"ticker/PPFAS\"\n ]\n }\n ]\n}"}]
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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 \"ticker/BOI AXA Mutual Fund\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]
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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 \"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": "Essel Mutual Fund details"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Essel Mutual Fund\": [\n \"ticker/Essel 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": "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 \"ticker/Principal 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": "Reliance Mutual Fund (Nippon India) schemes"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Reliance Mutual Fund\": [\n \"amc/Reliance Mutual Fund\"\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 \"attribute/technical/benchmark\"\n ]\n }\n ]\n}"}]
|
test_amc
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Morgan Stanley Mutual Fund (legacy) in India"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Morgan Stanley Mutual Fund\": [\n \"amc/Morgan Stanley Mutual Fund\"\n ]\n },\n {\n \"Mutual Fund\": [\n \"vehicle/funds/mutual_fund\"\n ]\n }\n ]\n}"}]
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test_amc
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