Dataset Viewer
conversations
stringlengths 589
1.25k
| category_labels
stringclasses 9
values |
|---|---|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me some funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me low fee funds in largecap"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"low fee\": [\n \"preference/low\",\n \"attribute/cost\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"largecap\": [\n \"preference/high\",\n \"attribute/style/size/large_cap\"\n ]\n },\n {\n \"largecap funds\": [\n \"sebi_classification/equity_schemes/large_cap_fund\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me high fee funds in midcap"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"high fee\": [\n \"preference/high\",\n \"attribute/cost\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"midcap\": [\n \"preference/high\",\n \"attribute/style/size/mid_cap\"\n ]\n },\n {\n \"funds in midcap\": [\n \"sebi_classification/equity_schemes/mid_cap_fund\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds that have returns more than 50%"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"returns more than 50%\": [\n \"preference/>50%\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "best midcap funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"best\": [\n \"preference/high\",\n \"attribute/technical/performance\"\n ]\n },\n {\n \"midcap\": [\n \"preference/high\",\n \"attribute/style/size/mid_cap\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"midcap funds\": [\n \"sebi_classification/equity_schemes/mid_cap_fund\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "midcap funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"midcap\": [\n \"preference/high\",\n \"attribute/style/size/mid_cap\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"midcap funds\": [\n \"sebi_classification/equity_schemes/mid_cap_fund\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds having AUM more than 5000 crores"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"AUM more than 5000 crores\": [\n \"preference/>5000cr\",\n \"attribute/technical/aum\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds having AUM less than 1 crore"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"AUM less than 1 crore\": [\n \"preference/<1cr\",\n \"attribute/technical/aum\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds having expense ratio less than 1%"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"expense ratio\": [\n \"preference/<1%\",\n \"attribute/cost/expense_ratio\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds having expense ratio more than 2%"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"expense ratio\": [\n \"preference/>2%\",\n \"attribute/cost/expense_ratio\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Fund of funds international"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"Fund of funds\": [\n \"sebi_classification/other/fund_of_funds_overseas_domestic\"\n ]\n },\n {\n \"international\": [\n \"preference/high\",\n \"exposure/region/international\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me some pharma funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"pharma\": [\n \"preference/high\",\n \"exposure/sector/health_care/pharmaceuticals_biotechnology_and_life_sciences\"\n ]\n },\n {\n \"pharma funds\": [\n \"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me some good midcap funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"good\": [\n \"preference/high\",\n \"attribute/technical/performance\"\n ]\n },\n {\n \"midcap\": [\n \"preference/high\",\n \"attribute/style/size/mid_cap\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"midcap funds\": [\n \"sebi_classification/equity_schemes/mid_cap_fund\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me the best flexicap funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"best\": [\n \"preference/high\",\n \"attribute/technical/performance\"\n ]\n },\n {\n \"flexicap funds\": [\n \"sebi_classification/equity_schemes/flexi_cap_fund\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me some tech funds with high returns & low risk"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"tech\": [\n \"preference/high\",\n \"exposure/sector/information_technology\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"tech funds\": [\n \"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"\n ]\n },\n {\n \"high returns\": [\n \"preference/high\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n },\n {\n \"low risk\": [\n \"preference/low\",\n \"attribute/technical/risk\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "what are the best largecap funds with financial exposures"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"best\": [\n \"preference/high\",\n \"attribute/technical/performance\"\n ]\n },\n {\n \"largecap\": [\n \"preference/high\",\n \"attribute/style/size/large_cap\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"largecap funds\": [\n \"sebi_classification/equity_schemes/large_cap_fund\"\n ]\n },\n {\n \"financial exposures\": [\n \"preference/high\",\n \"exposure/sector/financials\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "debt funds having expense ratio less than 1%"}, {"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 \"expense ratio less than 1%\": [\n \"preference/<1%\",\n \"attribute/cost/expense_ratio\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds having AUM less than 663cr"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"AUM less than 663cr\": [\n \"preference/<663cr\",\n \"attribute/technical/aum\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "high risk low cost small cap funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"high risk\": [\n \"preference/high\",\n \"attribute/technical/risk\"\n ]\n },\n {\n \"low cost\": [\n \"preference/low\",\n \"attribute/cost\"\n ]\n },\n {\n \"small cap\": [\n \"preference/high\",\n \"attribute/style/size/small_cap\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"small cap funds\": [\n \"sebi_classification/equity_schemes/small_cap_fund\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "high volatility low cost small cap funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"high volatility\": [\n \"preference/high\",\n \"attribute/technical/risk/volatility\"\n ]\n },\n {\n \"low cost\": [\n \"preference/low\",\n \"attribute/cost\"\n ]\n },\n {\n \"small cap\": [\n \"preference/high\",\n \"attribute/style/size/small_cap\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"small cap funds\": [\n \"sebi_classification/equity_schemes/small_cap_fund\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "low cost healthcare funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"low cost\": [\n \"preference/low\",\n \"attribute/cost\"\n ]\n },\n {\n \"healthcare\": [\n \"preference/high\",\n \"exposure/sector/health_care\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"healthcare funds\": [\n \"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me some overnight funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"overnight funds\": [\n \"sebi_classification/debt_schemes/overnight_fund\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me some overnight funds with AUM less than 1000 crore"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"overnight funds\": [\n \"sebi_classification/debt_schemes/overnight_fund\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"AUM less than 1000 crore\": [\n \"preference/<1000cr\",\n \"attribute/technical/aum\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me some 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}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me some balanced hybrid funds with low cost"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"balanced hybrid funds\": [\n \"sebi_classification/hybrid_schemes/balanced_hybrid_fund\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low cost\": [\n \"preference/low\",\n \"attribute/cost\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "multi-cap funds with low expense ratios"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"multi-cap funds\": [\n \"sebi_classification/equity_schemes/multi_cap_fund\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low expense ratios\": [\n \"preference/low\",\n \"attribute/cost/expense_ratio\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "low expense ratio index funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"low expense ratio\": [\n \"preference/low\",\n \"attribute/cost/expense_ratio\"\n ]\n },\n {\n \"index funds\": [\n \"sebi_classification/other/index_funds_etfs\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "low volatility large cap funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"low volatility\": [\n \"preference/low\",\n \"attribute/technical/risk/volatility\"\n ]\n },\n {\n \"large cap\": [\n \"preference/high\",\n \"attribute/style/size/large_cap\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"large cap funds\": [\n \"sebi_classification/equity_schemes/large_cap_fund\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "balanced funds with low risk"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"balanced funds\": [\n \"sebi_classification/hybrid_schemes/balanced_hybrid_fund\"\n ]\n },\n {\n \"low risk\": [\n \"preference/low\",\n \"attribute/technical/risk\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with returns more than 30% over the last 3 years"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"returns more than 30% over the last 3 years\": [\n \"preference/>30%\",\n \"time/3Y\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with 3Y returns less than 30%"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"3Y returns\": [\n \"preference/<30%\",\n \"time/3Y\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with 5Y returns more than 50%"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"5Y returns\": [\n \"preference/>50%\",\n \"time/5Y\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with high returns over 3 years"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high returns\": [\n \"preference/high\",\n \"time/3Y\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me high AUM debt funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"high AUM\": [\n \"preference/high\",\n \"attribute/technical/aum\"\n ]\n },\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 \"high AUM debt funds\": [\n \"sebi_classification/debt_schemes\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me some gold funds"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"gold\": [\n \"asset_type/commodities/gold\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "find some silver etfs"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"silver\": [\n \"asset_type/commodities/silver\"\n ]\n },\n {\n \"etfs\": [\n \"vehicle/funds/etf\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds for retirement"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"funds for retirement\": [\n \"sebi_classification/solution_oriented_schemes/retirement_fund\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Help me create a plan to fund my daughter\u2019s university education."}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"fund my daughter's university education\": [\n \"objective/child_education\"\n ]\n },\n {\n \"fund\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "What are the best instruments for parking cash short term?"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"best\": [\n \"preference/high\",\n \"attribute/technical/performance\"\n ]\n },\n {\n \"instruments\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"parking cash\": [\n \"objective/cash_parking\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "I need a short-term place for my money\u2014any safe investment opportunities?"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"safe\": [\n \"preference/high\",\n \"attribute/seniority/low\",\n \"exposure/factor/seniority\"\n ]\n },\n {\n \"investment opportunities\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "I\u2019m looking for strategies for capital appreciation over the next 10 years."}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"capital appreciation\": [\n \"objective/capital_appreciation\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "I have surplus funds I won\u2019t need for a while\u2014where should I park them?"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"park them\": [\n \"objective/surplus_liquidity_parking\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "What options do I have to temporarily park my extra liquidity?"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"park my extra liquidity\": [\n \"objective/temporary_parking\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "How can I invest to save the maximum amount on taxes?"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"save the maximum amount on taxes\": [\n \"objective/minimize_tax\"\n ]\n },\n {\n \"invest\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Which investment grow good in medium term?"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"investment\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"grow good\": [\n \"objective/capital_growth\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Help me choose funds for medium to long-term capital gains."}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"medium to long-term capital gains\": [\n \"objective/medium_to_long_term_capital_appreciation\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Recommend investments that maximize growth over the long term."}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"investments\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"maximize growth over the long term\": [\n \"objective/capital_growth\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds for growing my captial investment"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"growing my captial\": [\n \"objective/capital_growth\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with sip returns >10%"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"sip returns\": [\n \"preference/>10%\",\n \"attribute/technical/returns/sip\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high 12 month sip returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 12 month sip returns\": [\n \"preference/high\",\n \"time/1Y\",\n \"attribute/technical/returns/sip\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds by Rohit Singhania"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"Rohit Singhania\": [\n \"attribute/portfolio_manager/Rohit Singhania\"\n ]\n }\n ]\n}"}]
|
old_test_suite
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "which funds does Kiran Nambiar manage?"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"Kiran Nambiar\": [\n \"attribute/portfolio_manager/Kiran Nambiar\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with low expense ratio"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low expense ratio\": [\n \"preference/low\",\n \"attribute/cost/expense_ratio\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 annualised returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high annualised returns\": [\n \"preference/high\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 annualised returns since inception"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high annualised returns since inception\": [\n \"preference/high\",\n \"time/ITD\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 SIP returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high SIP returns\": [\n \"preference/high\",\n \"attribute/technical/returns/sip\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 6m SIP returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 6m SIP returns\": [\n \"preference/high\",\n \"time/6M\",\n \"attribute/technical/returns/sip\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 1y SIP returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 1y SIP returns\": [\n \"preference/high\",\n \"time/1Y\",\n \"attribute/technical/returns/sip\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 2y SIP returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 2y SIP returns\": [\n \"preference/high\",\n \"time/2Y\",\n \"attribute/technical/returns/sip\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 3y SIP returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 3y SIP returns\": [\n \"preference/high\",\n \"time/3Y\",\n \"attribute/technical/returns/sip\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 4y SIP returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 4y SIP returns\": [\n \"preference/high\",\n \"time/4Y\",\n \"attribute/technical/returns/sip\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 5y SIP returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 5y SIP returns\": [\n \"preference/high\",\n \"time/5Y\",\n \"attribute/technical/returns/sip\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 10y SIP returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 10y SIP returns\": [\n \"preference/high\",\n \"time/10Y\",\n \"attribute/technical/returns/sip\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 SIP returns since inception"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high SIP returns since inception\": [\n \"preference/high\",\n \"time/ITD\",\n \"attribute/technical/returns/sip\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high returns\": [\n \"preference/high\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 1d returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 1d returns\": [\n \"preference/high\",\n \"time/1D\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 5d returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 5d returns\": [\n \"preference/high\",\n \"time/5D\",\n \"attribute/technical/returns\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 7d returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 7d returns\": [\n \"preference/high\",\n \"time/7D\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 1m returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 1m returns\": [\n \"preference/high\",\n \"time/1M\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 6m returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 6m returns\": [\n \"preference/high\",\n \"time/6M\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 1y returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 1y returns\": [\n \"preference/high\",\n \"time/1Y\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 3y returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 3y returns\": [\n \"preference/high\",\n \"time/3Y\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 5y returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 5y returns\": [\n \"preference/high\",\n \"time/5Y\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 10y returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high 10y returns\": [\n \"preference/high\",\n \"time/10Y\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high returns since inception"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high returns since inception\": [\n \"preference/high\",\n \"time/ITD\",\n \"attribute/technical/returns/annualised_returns\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 large cap exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"large cap\": [\n \"preference/high\",\n \"attribute/style/size/large_cap\"\n ]\n },\n {\n \"large cap exposure\": [\n \"sebi_classification/equity_schemes/large_cap_fund\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 mid cap exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"mid cap\": [\n \"preference/high\",\n \"attribute/style/size/mid_cap\"\n ]\n },\n {\n \"mid cap exposure\": [\n \"sebi_classification/equity_schemes/mid_cap_fund\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 small cap exposure"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"small cap\": [\n \"preference/high\",\n \"attribute/style/size/small_cap\"\n ]\n },\n {\n \"small cap exposure\": [\n \"preference/high\",\n \"exposure/factor\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 risk"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low risk\": [\n \"preference/low\",\n \"attribute/technical/risk\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 outperformance"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high outperformance\": [\n \"preference/high\",\n \"attribute/technical/outperformance\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 AUM"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high AUM\": [\n \"preference/high\",\n \"attribute/technical/aum\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high market cap"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high market cap\": [\n \"preference/high\",\n \"attribute/technical/market_cap\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 cost"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low cost\": [\n \"preference/low\",\n \"attribute/cost\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with low volatility"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low volatility\": [\n \"preference/low\",\n \"attribute/technical/risk/volatility\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low drawdown\": [\n \"preference/low\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 7d drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low 7d drawdown\": [\n \"preference/low\",\n \"time/7D\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 1m drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low 1m drawdown\": [\n \"preference/low\",\n \"time/1M\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 3m drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low 3m drawdown\": [\n \"preference/low\",\n \"time/3M\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 6m drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low 6m drawdown\": [\n \"preference/low\",\n \"time/6M\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 1y drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low 1y drawdown\": [\n \"preference/low\",\n \"time/1Y\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 2y drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low 2y drawdown\": [\n \"preference/low\",\n \"time/2Y\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 3y drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low 3y drawdown\": [\n \"preference/low\",\n \"time/3Y\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 4y drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low 4y drawdown\": [\n \"preference/low\",\n \"time/4Y\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 5y drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low 5y drawdown\": [\n \"preference/low\",\n \"time/5Y\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 10y drawdown"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low 10y drawdown\": [\n \"preference/low\",\n \"time/10Y\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 drawdown since inception"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"low drawdown since inception\": [\n \"preference/low\",\n \"time/ITD\",\n \"attribute/technical/risk/drawdown\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 dividend yield"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high dividend yield\": [\n \"preference/high\",\n \"attribute/fundamental/yield/dividend\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 risk adjusted returns"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high risk adjusted returns\": [\n \"preference/high\",\n \"attribute/technical/returns/risk_adjusted_returns\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 Sharpe ratio"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high Sharpe ratio\": [\n \"preference/high\",\n \"attribute/technical/returns/risk_adjusted_returns/sharpe_ratio\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 Sortino ratio"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"high Sortino ratio\": [\n \"preference/high\",\n \"attribute/technical/returns/risk_adjusted_returns/sortino_ratio\"\n ]\n }\n ]\n}"}]
|
test_attributes
|
End of preview. Expand
in Data Studio
README.md exists but content is empty.
- Downloads last month
- 74