conversations
stringlengths 529
1.13k
|
|---|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 mutual funds with exposure to financial services"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"financial services\": [\"preference/high\", \"exposure/sector/financials/financial_services\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 good value funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"good value\": [\"preference/high\", \"exposure/factor/value\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"value funds\": [\"sebi_classification/equity_schemes/value_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": "funds in consumer discretionary sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"consumer discretionary sector\": [\"exposure/sector/consumer_discretionary\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 performing midcap funds in the last year"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"Best performing\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"midcap\": [\"preference/high\", \"attribute/style/size/mid_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"midcap funds\": [\"sebi_classification/equity_schemes/mid_cap_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": "funds with high historical price performance"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high historical price performance\": [\"preference/high\", \"attribute/technical/price\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with low price and strong track record"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low price\": [\"preference/low\", \"attribute/technical/price\"]}, {\"track record\": [\"attribute/track_record\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds focusing on consumer staples"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"consumer staples\": [\"preference/high\", \"exposure/sector/consumer_staples\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "can you suggest funds with high exposure to consumer services"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high exposure to consumer services\": [\"preference/high\", \"exposure/sector/consumer_discretionary/consumer_services\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "low volatility funds for consumer discretionary sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"consumer discretionary sector\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds focusing on smallcap with high recent returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"smallcap\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"smallcap funds\": [\"sebi_classification/equity_schemes/small_cap_fund\"]}, {\"high recent returns\": [\"preference/high\", \"time/1W\", \"attribute/technical/returns/annualised_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": "high volatility funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"high volatility\": [\"preference/high\", \"attribute/technical/risk/volatility\"]}, {\"funds\": [\"vehicle/funds\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 some funds with low expense ratio in energy sector."}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low expense ratio\": [\"preference/low\", \"attribute/cost/expense_ratio\"]}, {\"energy sector\": [\"preference/high\", \"exposure/sector/energy/energy\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 midcap funds with high performance"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"midcap\": [\"preference/high\", \"attribute/style/size/mid_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"midcap funds\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}, {\"high performance\": [\"preference/high\", \"attribute/technical/performance\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 funds with high returns and exposure to international markets"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"equity\": [\"asset_type/equity\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"equity funds\": [\"sebi_classification/equity_schemes\"]}, {\"high returns\": [\"preference/high\", \"attribute/fundamental/yield\"]}, {\"international markets\": [\"preference/high\", \"exposure/region/international\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 in consumer discretionary sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"consumer discretionary sector\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}, {\"funds in consumer discretionary sector\": [\"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": "low volatility funds in tech sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"tech sector\": [\"preference/high\", \"exposure/sector/information_technology\"]}, {\"funds in tech sector\": [\"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": "funds with high price volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high price volatility\": [\"preference/high\", \"attribute/technical/risk/volatility\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 equity schemes with a focus on consumer services"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"equity\": [\"asset_type/equity\"]}, {\"schemes\": [\"vehicle/funds\"]}, {\"equity schemes\": [\"sebi_classification/equity_schemes\"]}, {\"consumer services\": [\"preference/high\", \"exposure/sector/consumer_discretionary/consumer_services\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 targeting consumer discretionary sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"consumer discretionary sector\": [\"preference/high\", \"exposure/sector/consumer_discretionary/consumer_services\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 in the communication sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"communication sector\": [\"preference/high\", \"exposure/sector/communication_services\"]}, {\"funds in the communication sector\": [\"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": "suggest funds with low volatility in tech sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}, {\"tech sector\": [\"preference/high\", \"exposure/sector/information_technology/semiconductors_and_semiconductor_equipment\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 in consumer staples sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"consumer staples sector\": [\"preference/high\", \"exposure/sector/consumer_staples\"]}, {\"funds in consumer staples sector\": [\"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": "funds with high price growth"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high price growth\": [\"preference/high\", \"attribute/technical/price\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 healthcare funds with strong price performance"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"healthcare\": [\"preference/high\", \"exposure/sector/health_care\"]}, {\"healthcare funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}, {\"strong price performance\": [\"preference/high\", \"attribute/technical/price\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 funds focusing on utilities and having low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"equity\": [\"asset_type/equity\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"utilities\": [\"preference/high\", \"exposure/sector/utilities/utilities\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "in small cap funds with low expense ratios"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"small cap\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"small cap funds\": [\"sebi_classification/equity_schemes/small_cap_fund\"]}, {\"low expense ratios\": [\"preference/low\", \"attribute/cost/expense_ratio\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "silver commodity funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"silver\": [\"asset_type/commodities/silver\"]}, {\"funds\": [\"vehicle/funds\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 some high risk low cost small cap funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"high risk\": [\"preference/high\", \"attribute/technical/risk\"]}, {\"low cost\": [\"preference/low\", \"attribute/cost\"]}, {\"small cap\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"small cap funds\": [\"sebi_classification/equity_schemes/small_cap_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": "funds with high fundamental performance"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high fundamental performance\": [\"preference/high\", \"attribute/fundamental\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "looking for funds with high returns in last year"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high returns\": [\"preference/high\", \"time/1Y\", \"attribute/technical/returns/annualised_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 with high technical price"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high technical price\": [\"preference/high\", \"attribute/technical/price\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with high exposure to the energy sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high exposure to the energy sector\": [\"preference/high\", \"exposure/sector/energy/energy\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "suggest funds with a focus on consumer staples"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"consumer staples\": [\"preference/high\", \"exposure/sector/consumer_staples/consumer_staples_distribution_and_retail\"]}, {\"funds with a focus on consumer staples\": [\"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": "show me funds with technical price analysis"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"technical price\": [\"attribute/technical/price\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds focused on media and entertainment"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"media and entertainment\": [\"preference/high\", \"exposure/sector/communication_services/media_and_entertainment\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 focused on consumer discretionary sector."}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"consumer discretionary sector\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high exposure to Nifty 500"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high exposure to Nifty 500\": [\"preference/high\", \"exposure/index/nifty_500\"]}, {\"funds with high exposure to Nifty 500\": [\"sebi_classification/other/index_funds_etfs\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high exposure to consumer discretionary"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high exposure to consumer discretionary\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds focusing on consumer discretionary distribution"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"consumer discretionary distribution\": [\"preference/high\", \"exposure/sector/consumer_discretionary/consumer_discretionary_distribution_and_retail\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds in large and mid-cap category"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"large and mid-cap category\": [\"sebi_classification/equity_schemes/large_and_mid_cap_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": "mutual funds with high consumer discretionary exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"high consumer discretionary exposure\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high returns focusing on small-cap"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high returns\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}, {\"small-cap\": [\"preference/high\", \"exposure/factor/size\"]}, {\"focusing on small-cap\": [\"sebi_classification/equity_schemes/small_cap_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": "I need energy sector funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"energy sector\": [\"preference/high\", \"exposure/sector/energy/energy\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds focused on small-cap with high AUM"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"small-cap\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"funds focused on small-cap\": [\"sebi_classification/equity_schemes/small_cap_fund\"]}, {\"high AUM\": [\"preference/high\", \"attribute/technical/aum\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "suggest funds focusing on silver investments"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"silver investments\": [\"asset_type/commodities/silver\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 focused on small cap with high returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"small cap\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"small cap funds\": [\"sebi_classification/equity_schemes/small_cap_fund\"]}, {\"high returns\": [\"preference/high\", \"attribute/technical/returns/annualised_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": "looking for high returns in small cap funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"high returns\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}, {\"small cap\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"small cap funds\": [\"sebi_classification/equity_schemes/small_cap_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": "funds focused on smallcap and low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"smallcap\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"smallcap\": [\"sebi_classification/equity_schemes/small_cap_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 large cap funds with low expense ratio"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"large cap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"large cap funds\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}, {\"low expense ratio\": [\"preference/low\", \"attribute/cost/expense_ratio\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with a focus on consumer durables and apparel."}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"consumer durables and apparel\": [\"preference/high\", \"exposure/sector/consumer_discretionary/consumer_durables_and_apparel\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "low-volatility insurance sector funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"low-volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}, {\"insurance sector\": [\"preference/high\", \"exposure/sector/financials/insurance\"]}, {\"funds\": [\"vehicle/funds\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with high consumer discretionary exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high consumer discretionary exposure\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with holdings in communication services sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"communication services sector\": [\"preference/high\", \"exposure/sector/communication_services\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "I want funds with high annualised returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high annualised returns\": [\"preference/high\", \"attribute/technical/returns/annualised_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": "give me some funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds focused on household and personal products"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"household and personal products\": [\"preference/high\", \"exposure/sector/consumer_staples/household_and_personal_products\"]}, {\"funds focused on household and personal products\": [\"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": "show me high dividend yield funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"high dividend yield\": [\"preference/high\", \"attribute/fundamental/yield/dividend\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"dividend yield funds\": [\"sebi_classification/equity_schemes/dividend_yield_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": "show me funds investing heavily in financial services"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"financial services\": [\"preference/high\", \"exposure/sector/financials/financial_services\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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's a good choice for investing in consumer discretionary retail sectors?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"consumer discretionary retail sectors\": [\"preference/high\", \"exposure/sector/consumer_discretionary/consumer_discretionary_distribution_and_retail\"]}, {\"investing\": [\"vehicle/funds\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 mutual funds focused on healthcare equipment and services"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"healthcare equipment and services\": [\"preference/high\", \"exposure/sector/health_care/health_care_equipment_and_services\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 high return funds with low risk"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"high return\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"low risk\": [\"preference/low\", \"attribute/technical/risk\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with high household and personal products exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"household and personal products\": [\"preference/high\", \"exposure/sector/consumer_staples/household_and_personal_products\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "highlight funds with high exposure to the financial sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high exposure to the financial sector\": [\"preference/high\", \"exposure/sector/financials\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me high-return mutual funds in nifty 500 index"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"high-return\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}, {\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"nifty 500 index\": [\"preference/high\", \"exposure/index/nifty_500\"]}, {\"mutual funds in nifty 500 index\": [\"sebi_classification/other/index_funds_etfs\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "looking for funds with high consumer discretionary exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high consumer discretionary exposure\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "ETFs with high small-cap exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"ETFs\": [\"vehicle/funds/etf\"]}, {\"high small-cap\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"high small-cap exposure\": [\"preference/high\", \"exposure/index/nifty_smallcap_250\"]}, {\"small-cap\": [\"sebi_classification/equity_schemes/small_cap_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": "silver bonds with high returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"silver\": [\"asset_type/commodities/silver\"]}, {\"bonds\": [\"vehicle/funds\"]}, {\"high returns\": [\"preference/high\", \"attribute/technical/returns/annualised_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": "Show me funds focused on the consumer discretionary sector."}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"consumer discretionary sector\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}, {\"funds focused on the consumer discretionary sector\": [\"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": "invest in low risk government bonds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"low risk\": [\"preference/low\", \"attribute/technical/risk\"]}, {\"government bonds\": [\"asset_type/debt/bonds/government\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "midcap funds from SBI Mutual Fund with high returns last year"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"midcap\": [\"preference/high\", \"attribute/style/size/mid_cap\"]}, {\"midcap funds\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}, {\"SBI Mutual Fund\": [\"amc/SBI Mutual Fund\"]}, {\"Mutual fund\": [\"vehicle/funds/mutual_fund\"]}, {\"high returns last year\": [\"preference/high\", \"time/1Y\", \"attribute/technical/returns/annualised_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 with high exposure to financial services"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high exposure to financial services\": [\"preference/high\", \"exposure/sector/financials/financial_services\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "suggest funds focusing on communication services sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"communication services sector\": [\"preference/high\", \"exposure/sector/communication_services\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show funds with high exposure to consumer discretionary and low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high exposure to consumer discretionary\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "I want funds with high returns in nifty smallcap index"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high returns\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}, {\"nifty smallcap index\": [\"preference/high\", \"exposure/index/nifty_smallcap_250\"]}, {\"funds with high returns in nifty smallcap index\": [\"sebi_classification/other/index_funds_etfs\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds in consumer discretionary sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"consumer discretionary sector\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 annualised returns over 10%"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"annualised returns\": [\"preference/>10%\", \"attribute/technical/returns/annualised_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": "suggest some funds focusing on consumer staples"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"consumer staples\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}, {\"funds focusing on consumer staples\": [\"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": "what are some good funds with low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 mutual funds with high technical price performance"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"high technical price performance\": [\"preference/high\", \"attribute/technical/price\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "high-return consumer discretionary funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"high-return\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}, {\"consumer discretionary\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"consumer discretionary 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 focused on entertainment"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"entertainment\": [\"preference/high\", \"exposure/sector/communication_services/media_and_entertainment\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 exposing to communication services and annualised returns over 10% last year"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"communication services\": [\"preference/high\", \"exposure/sector/communication_services\"]}, {\"annualised returns over 10% last year\": [\"preference/>10%\", \"time/1Y\", \"attribute/technical/returns/annualised_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": "create a portfolio with low price stocks"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"portfolio\": [\"vehicle/recommendation/basket\"]}, {\"low price\": [\"preference/low\", \"attribute/technical/price\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 concentrated in consumer staples"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"consumer staples\": [\"preference/high\", \"exposure/sector/consumer_staples\"]}, {\"funds concentrated in consumer staples\": [\"sebi_classification/equity_schemes\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 funds in the transportation sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"transportation sector\": [\"preference/high\", \"exposure/sector/industrials/transportation\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 in large cap"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"large cap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"funds in large cap\": [\"sebi_classification/equity_schemes/large_cap_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": "what are some funds focused on consumer staples?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"consumer staples\": [\"preference/high\", \"exposure/sector/consumer_staples\"]}, {\"funds focused on consumer staples\": [\"sebi_classification/equity_schemes\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 funds in transportation"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"transportation\": [\"preference/high\", \"exposure/sector/industrials/transportation\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "good funds in infrastructure sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"infrastructure sector\": [\"preference/high\", \"exposure/sector/industrials/capital_goods\"]}, {\"funds in infrastructure sector\": [\"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": "show me low volatility funds in transportation sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"transportation sector\": [\"preference/low\", \"exposure/sector/industrials/transportation\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me high-performing transportation funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"high-performing\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"transportation\": [\"preference/high\", \"exposure/sector/industrials/transportation\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"transportation 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": "show me funds with high exposure to transportation sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high exposure to transportation sector\": [\"preference/high\", \"exposure/sector/industrials/transportation\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with good performance in the consumer staples sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"good performance\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"consumer staples\": [\"preference/high\", \"exposure/sector/consumer_staples\"]}, {\"funds in the consumer staples sector\": [\"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": "funds focused on consumer staples"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"consumer staples\": [\"preference/high\", \"exposure/sector/consumer_staples\"]}, {\"funds focused on consumer staples\": [\"sebi_classification/equity_schemes\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "invest in a fund with exposure to the Nifty Microcap 250 index"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"exposure to the Nifty Microcap 250 index\": [\"preference/high\", \"exposure/index/nifty_microcap_250\"]}, {\"fund\": [\"sebi_classification/other/index_funds_etfs\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "ETFs with exposure to the transportation sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"ETFs\": [\"vehicle/funds/etf\"]}, {\"exposure to the transportation sector\": [\"preference/high\", \"exposure/sector/industrials/transportation\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 exposure to Nifty 100"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"Nifty 100\": [\"preference/high\", \"exposure/index/nifty_100\"]}, {\"funds with exposure to Nifty 100\": [\"sebi_classification/other/index_funds_etfs\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "invest in funds with exposure to Nifty Microcap 250"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"Nifty Microcap 250\": [\"preference/high\", \"exposure/index/nifty_microcap_250\"]}, {\"funds with exposure to Nifty Microcap 250\": [\"sebi_classification/other/index_funds_etfs\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "suggest funds with exposure to nifty_microcap_250"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"nifty_microcap_250\": [\"preference/high\", \"exposure/index/nifty_microcap_250\"]}, {\"funds with exposure to nifty_microcap_250\": [\"sebi_classification/other/index_funds_etfs\"]}]}"}]
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Are there any funds with significant exposure to the Nifty Microcap 250 index?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"significant exposure to the Nifty Microcap 250 index\": [\"preference/high\", \"exposure/index/nifty_microcap_250\"]}, {\"funds with significant exposure to the Nifty Microcap 250 index\": [\"sebi_classification/other/index_funds_etfs\"]}]}"}]
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.