conversations
stringlengths 517
1.08k
|
|---|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 greater than 50% absolute returns since inception."}, {"from": "gpt", "value": "{\"llm_NER\":[{\"Funds\":[\"vehicle/funds\"]},{\"greater than 50% absolute returns since inception\":[\"preference/>50%\",\"time/ITD\",\"attribute/technical/returns/absolute_returns\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "gilt schemes with low 2 year abs returns."}, {"from": "gpt", "value": "{\"llm_NER\":[{\"gilt schemes\":[\"sebi_classification/debt_schemes/gilt_fund\"]},{\"schemes\":[\"vehicle/funds\"]},{\"low 2 year abs returns\":[\"preference/low\",\"time/2Y\",\"attribute/technical/returns/absolute_returns\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 >10% absolute for 8y."}, {"from": "gpt", "value": "{\"llm_NER\":[{\"Funds\":[\"vehicle/funds\"]},{\">10% absolute for 8y\":[\"preference/high\",\"time/8Y\",\"attribute/technical/returns/absolute_returns\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Large cap funds with >35% absolute returns in 6y."}, {"from": "gpt", "value": "{\"llm_NER\":[{\"Large cap\":[\"preference/high\",\"attribute/style/size/large_cap\"]},{\"funds\":[\"vehicle/funds\"]},{\"Large cap funds\":[\"sebi_classification/equity_schemes/large_cap_fund\"]},{\">35% absolute returns in 6y\":[\"preference/>35%\",\"time/6Y\",\"attribute/technical/returns\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 with less than 12% absolute returns in 5y."}, {"from": "gpt", "value": "{\"llm_NER\":[{\"Debt\":[\"asset_type/debt\"]},{\"funds\":[\"vehicle/funds\"]},{\"Debt funds\":[\"sebi_classification/debt_schemes\"]},{\"less than 12% absolute returns in 7y\":[\"preference/<12%\",\"time/7Y\",\"attribute/technical/returns/absolute_returns\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 ETFs investing in the consumption theme"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"consumption theme\":[\"preference/high\",\"exposure/theme/consumption\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 funds with exposure to consumer spending themes"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"consumer spending\":[\"preference/high\",\"exposure/theme/consumption\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 ETFs focused on infrastructure development"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"ETFs\":[\"vehicle/funds/etf\"]},{\"infrastructure development\":[\"preference/high\",\"exposure/theme/infrastructure\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "infra funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"infra\":[\"preference/high\",\"exposure/theme/infrastructure\"]},{\"infra funds\":[\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 funds investing in manufacturing companies"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"manufacturing companies\":[\"preference/high\",\"exposure/theme/manufacturing\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "manufacturing funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"manufacturing\":[\"preference/high\",\"exposure/theme/manufacturing\"]},{\"manufacturing funds\":[\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Give me funds investing in multinational companies"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"multinational companies\":[\"preference/high\",\"exposure/theme/mnc\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 ETFs focused on MNC"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"ETFs\":[\"vehicle/funds/etf\"]},{\"MNC stocks\":[\"preference/high\",\"exposure/theme/mnc\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "mnc theme mutual funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"mutual funds\":[\"vehicle/funds/mutual_fund\"]},{\"mnc theme\":[\"preference/high\",\"exposure/theme/mnc\"]},{\"mnc theme mutual funds\":[\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.