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n/a
[ "get", "me", "the", "oibda", "growth", "of", "the", "top", "3", "companies", "in", "Paraguay", "." ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O" ]
wm_stock_metrics
get me the oibda growth of the top 3 companies in Paraguay .
1
n/a
[ "what", "would", "you", "say", "is", "the", "usual", "FY2016", "total", "liabilities", "of", "companies", "with", "a", "total", "common", "equity", "under", "$", "4.4x", "?" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-date_metric", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric", "O" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_below_name", "O" ]
wm_stock_metrics
what would you say is the usual FY2016 total liabilities of companies with a total common equity under $ 4.4x ?
2
n/a
[ "what", "was", "the", "div", "yield", "amount", "and", "also", "the", "fq1", "insurance", "payables", "for", "firms", "which", "are", "in", "Cook", "Islands", "?" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-date_metric", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "B-location_inside_name", "I-location_inside_name", "O" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
wm_stock_metrics
what was the div yield amount and also the fq1 insurance payables for firms which are in Cook Islands ?
3
n/a
[ "give", "me", "the", "PB", "ratio", "of", "companies", "whose", "price", "to", "book", "ratio", "is", "over", "12", "billion", "last", "year", "." ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric", "I-numeric", "B-date_metric", "I-date_metric", "O" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "B-date_metric", "I-date_metric", "O" ]
wm_stock_metrics
give me the PB ratio of companies whose price to book ratio is over 12 billion last year .
4
n/a
[ "show", "me", "what", "the", "ev", "are", "for", "the", "top", "3", "solar", "energy", "companies", "." ]
[ "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "B-sector_name", "I-sector_name", "O", "O" ]
[ "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "B-rank", "B-sector_name", "I-sector_name", "O", "O" ]
wm_stock_metrics
show me what the ev are for the top 3 solar energy companies .
5
n/a
[ "will", "you", "obtain", "the", "premium", "income", "of", "the", "top", "244", "companies", "in", "japan", "for", "me", "?" ]
[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O", "O", "O" ]
[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
wm_stock_metrics
will you obtain the premium income of the top 244 companies in japan for me ?
6
n/a
[ "tell", "me", "about", "the", "uninsured", "percent", "of", "admissions", "of", "the", "top", "5", "companies", "in", "Paraguay", "." ]
[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O" ]
wm_stock_metrics
tell me about the uninsured percent of admissions of the top 5 companies in Paraguay .
7
n/a
[ "what", "would", "you", "say", "is", "the", "usual", "tarp", "preferred", "equity", "of", "companies", "with", "a", "total", "debts", "under", "$", "1", "billion", "?" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric", "I-numeric", "O" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_below_name", "O", "O" ]
wm_stock_metrics
what would you say is the usual tarp preferred equity of companies with a total debts under $ 1 billion ?
8
n/a
[ "what", "is", "the", "ffo", "of", "reit", "companies", "of", "usa", "?" ]
[ "O", "O", "O", "B-target_metric_name", "O", "B-sector_name", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "B-filter_metric_name", "O", "O", "O", "O", "B-location_outside_name", "O" ]
wm_stock_metrics
what is the ffo of reit companies of usa ?
9
n/a
[ "what", "are", "the", "top", "energy", "sector", "companies", "'", "total", "debt", "issued", "with", "a", "ROE", "over", "24", "%", "?" ]
[ "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-filter_metric_name", "O", "B-numeric", "I-numeric", "O" ]
[ "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-filter_metric_name", "O", "B-numeric_above_name", "O", "O" ]
wm_stock_metrics
what are the top energy sector companies ' total debt issued with a ROE over 24 % ?
10
n/a
[ "what", "are", "the", "companies", "with", "a", "electricity", "delivered", "greater", "than", "$", "62", "million" ]
[ "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-numeric", "I-numeric" ]
[ "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "I-numeric_above_name" ]
wm_stock_metrics
what are the companies with a electricity delivered greater than $ 62 million
11
n/a
[ "can", "you", "obtain", "the", "ifrs", "new", "business", "strain", "of", "the", "top", "3", "companies", "in", "Libya", "for", "me", "?" ]
[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O", "O", "O" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "O", "O", "B-location_inside_name", "O", "O", "O" ]
wm_stock_metrics
can you obtain the ifrs new business strain of the top 3 companies in Libya for me ?
12
n/a
[ "what", "is", "the", "residential", "access", "lines", "growth", "of", "the", "top", "Tobago", "company", "with", "a", "trading", "price", "over", "424", "thousand", "dollars", "?" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-location_inside_name", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "I-numeric", "O", "O" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-sector_name", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric_above_name", "I-numeric_above_name", "I-numeric_above_name", "O" ]
wm_stock_metrics
what is the residential access lines growth of the top Tobago company with a trading price over 424 thousand dollars ?
13
n/a
[ "will", "you", "look", "up", "the", "price", "earnings", "ratio", "of", "the", "top", "3", "companies", "in", "the", "Philippines", "?" ]
[ "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "O", "O", "O", "B-location_outside_name", "O" ]
wm_stock_metrics
will you look up the price earnings ratio of the top 3 companies in the Philippines ?
14
n/a
[ "show", "me", "what", "the", "dividend", "are", "for", "the", "top", "4", "info", "tech", "companies", "." ]
[ "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "B-sector_name", "I-sector_name", "O", "O" ]
[ "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "B-numeric_above_name", "B-sector_name", "I-sector_name", "O", "O" ]
wm_stock_metrics
show me what the dividend are for the top 4 info tech companies .
15
n/a
[ "show", "me", "the", "shares", "of", "the", "top", "21", "companies", "not", "in", "Asia-Pacific", "." ]
[ "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "O", "O", "O", "B-location_outside_name", "O" ]
wm_stock_metrics
show me the shares of the top 21 companies not in Asia-Pacific .
16
n/a
[ "get", "me", "the", "RROA", "of", "the", "top", "4", "companies", "in", "France", "." ]
[ "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]
[ "B-location_inside_name", "O", "O", "B-location_outside_name", "O", "O", "O", "B-numeric_above_name", "O", "O", "B-filter_metric_name", "O" ]
wm_stock_metrics
get me the RROA of the top 4 companies in France .
17
n/a
[ "tell", "me", "the", "institutional", "deposits", "of", "the", "top", "4", "companies", "in", "japan", "." ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O" ]
wm_stock_metrics
tell me the institutional deposits of the top 4 companies in japan .
18
n/a
[ "what", "'s", "the", "partnership", "non-property", "revaluation", "of", "the", "top", "five", "companies", "in", "india", "?" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O" ]
wm_stock_metrics
what 's the partnership non-property revaluation of the top five companies in india ?
19
n/a
[ "tell", "me", "the", "impairment", "on", "financial", "assets", "information", "of", "companies", "with", "a", "non-financial", "investments", "impairment", "under", "413", "billion", "." ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "I-numeric", "O" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric_below_name", "O", "O" ]
wm_stock_metrics
tell me the impairment on financial assets information of companies with a non-financial investments impairment under 413 billion .
20
n/a
[ "will", "you", "obtain", "the", "insurance", "management", "servicing", "revenue", "of", "the", "top", "421", "companies", "in", "Bosnia", "for", "me", "?" ]
[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O", "O", "O" ]
[ "O", "O", "O", "O", "B-sector_name", "I-sector_name", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O", "O", "O" ]
wm_stock_metrics
will you obtain the insurance management servicing revenue of the top 421 companies in Bosnia for me ?
21
n/a
[ "out", "of", "the", "companies", "in", "Uruguay", "how", "many", "have", "a", "share", "in", "current", "taxes", "value", "less", "than", "43", "%" ]
[ "O", "O", "O", "O", "O", "B-location_inside_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-numeric", "I-numeric" ]
[ "O", "O", "O", "O", "O", "B-location_outside_name", "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "B-sector_name", "I-sector_name" ]
wm_stock_metrics
out of the companies in Uruguay how many have a share in current taxes value less than 43 %
22
n/a
[ "will", "you", "look", "up", "the", "same-store", "rental", "rate", "of", "the", "top", "23", "companies", "in", "eu", "?" ]
[ "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O" ]
wm_stock_metrics
will you look up the same-store rental rate of the top 23 companies in eu ?
23
n/a
[ "show", "me", "CQ2016", "forward", "p/e", "ratio", "information", "of", "companies", "with", "a", "total", "enterprise", "values", "under", "3", "." ]
[ "O", "O", "B-date_metric", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "O" ]
[ "O", "O", "B-filter_metric_name", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_below_name", "O" ]
wm_stock_metrics
show me CQ2016 forward p/e ratio information of companies with a total enterprise values under 3 .
24
n/a
[ "get", "the", "re", "investment", "less", "deficit", "of", "the", "top", "2", "companies", "not", "in", "Canada", "for", "me", "." ]
[ "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O", "O", "O" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O", "O", "O" ]
wm_stock_metrics
get the re investment less deficit of the top 2 companies not in Canada for me .
25
n/a
[ "i", "want", "to", "know", "the", "q1", "2017", "net", "loans", "on", "every", "India", "company", "." ]
[ "O", "O", "O", "O", "O", "B-date_metric", "I-date_metric", "B-target_metric_name", "I-target_metric_name", "O", "O", "B-location_inside_name", "O", "O" ]
[ "O", "O", "O", "O", "O", "B-date_metric", "I-date_metric", "B-target_metric_name", "I-target_metric_name", "O", "O", "B-location_inside_name", "O", "O" ]
wm_stock_metrics
i want to know the q1 2017 net loans on every India company .
26
n/a
[ "will", "you", "obtain", "the", "target", "price", "of", "the", "top", "424", "companies", "in", "italy", "for", "me", "?" ]
[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O", "O", "O" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "O", "O", "B-location_outside_name", "O", "O", "O" ]
wm_stock_metrics
will you obtain the target price of the top 424 companies in italy for me ?
27
n/a
[ "what", "companies", "are", "at", "the", "top", "for", "total", "debt/", "total", "capitalization", "in", "the", "health", "industry", "?" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-sector_name", "O", "O" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-sector_name", "O", "O" ]
wm_stock_metrics
what companies are at the top for total debt/ total capitalization in the health industry ?
28
n/a
[ "i", "need", "research", "on", "the", "top", "industrials", "sector", "company", "with", "a", "debtors", "under", "231", "billion", "." ]
[ "O", "O", "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "O", "B-filter_metric_name", "O", "B-numeric", "I-numeric", "O" ]
[ "O", "O", "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "O", "B-target_metric_name", "O", "B-numeric_below_name", "O", "O" ]
wm_stock_metrics
i need research on the top industrials sector company with a debtors under 231 billion .
29
n/a
[ "will", "you", "give", "me", "the", "restricted", "stock", "awards", "of", "the", "top", "4", "companies", "in", "asia", "?" ]
[ "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O" ]
wm_stock_metrics
will you give me the restricted stock awards of the top 4 companies in asia ?
30
n/a
[ "stock", "price", "of", "gold", "companies", "in", "florida" ]
[ "B-target_metric_name", "I-target_metric_name", "O", "B-sector_name", "O", "O", "B-location_inside_name" ]
[ "B-target_metric_name", "I-target_metric_name", "O", "B-sector_name", "O", "O", "B-location_inside_name" ]
wm_stock_metrics
stock price of gold companies in florida
31
n/a
[ "give", "me", "the", "domestic", "trust", "fees", "for", "each", "of", "the", "top", "mortgage", "services", "companies", "in", "Guatemala", "." ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "B-sector_name", "I-sector_name", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
wm_stock_metrics
give me the domestic trust fees for each of the top mortgage services companies in Guatemala .
32
n/a
[ "show", "me", "the", "net", "debt/", "total", "cap", "for", "the", "top", "companies", "not", "in", "Asia-Pacific" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_outside_name" ]
[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_outside_name" ]
wm_stock_metrics
show me the net debt/ total cap for the top companies not in Asia-Pacific
33
n/a
[ "please", "research", "for", "2019", "what", "the", "dividends", "figures", "were", "for", "companies", "in", "Malaysia", "." ]
[ "O", "O", "O", "B-date_metric", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "B-date_metric", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-location_inside_name", "O" ]
wm_stock_metrics
please research for 2019 what the dividends figures were for companies in Malaysia .
34
n/a
[ "gold", "companies", "with", "inventory", "turnover", "greater", "than", "us", "$", "1", "billion" ]
[ "B-sector_name", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-numeric", "I-numeric", "I-numeric" ]
[ "B-sector_name", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "I-numeric_above_name" ]
wm_stock_metrics
gold companies with inventory turnover greater than us $ 1 billion
35
n/a
[ "risk-monitored", "manufacturing", "loans", "in", "companies", "of", "USA", "in", "descending", "order" ]
[ "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-location_inside_name", "O", "O", "O" ]
[ "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-location_inside_name", "O", "O", "O" ]
wm_stock_metrics
risk-monitored manufacturing loans in companies of USA in descending order
36
n/a
[ "i", "would", "like", "the", "total", "intangibles", "including", "dac", "of", "companies", "with", "a", "number", "of", "share", "under", "14", "billion", "." ]
[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "I-numeric", "O" ]
[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric_below_name", "O", "O" ]
wm_stock_metrics
i would like the total intangibles including dac of companies with a number of share under 14 billion .
37
n/a
[ "give", "me", "the", "same-store", "sales", "growth", "of", "the", "three", "germany", "companies", "." ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-location_inside_name", "O", "O" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-rank", "B-location_inside_name", "O", "O" ]
wm_stock_metrics
give me the same-store sales growth of the three germany companies .
38
n/a
[ "unconsolidated", "assets", "for", "health", "companies", "in", "us", "and", "commonwealth", "of", "australia" ]
[ "B-target_metric_name", "I-target_metric_name", "O", "B-sector_name", "O", "O", "B-location_inside_name", "O", "B-location_inside_name", "I-location_inside_name", "I-location_inside_name" ]
[ "B-filter_metric_name", "I-filter_metric_name", "O", "B-sector_name", "O", "O", "B-location_inside_name", "O", "O", "O", "B-location_inside_name" ]
wm_stock_metrics
unconsolidated assets for health companies in us and commonwealth of australia
39
n/a
[ "What", "are", "the", "companies", "with", "over", "9", "thousand", "dollars", "in", "COGS" ]
[ "O", "O", "O", "O", "O", "O", "B-numeric", "I-numeric", "O", "O", "B-filter_metric_name" ]
[ "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "O", "O", "O", "O" ]
wm_stock_metrics
What are the companies with over 9 thousand dollars in COGS
40
n/a
[ "tell", "me", "the", "total", "deposits", "of", "the", "top", "companies", "not", "in", "Congo", "." ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O" ]
wm_stock_metrics
tell me the total deposits of the top companies not in Congo .
41
n/a
[ "will", "you", "give", "me", "the", "current", "assets", "of", "the", "top", "3", "companies", "in", "Asia-Pacific", "?" ]
[ "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "B-numeric_above_name", "O", "O", "B-location_outside_name", "O" ]
wm_stock_metrics
will you give me the current assets of the top 3 companies in Asia-Pacific ?
42
n/a
[ "tell", "me", "the", "2016", "number", "of", "shares", "information", "of", "companies", "with", "a", "forward", "p/e", "under", "4.4x", "." ]
[ "O", "O", "O", "B-date_metric", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "O" ]
[ "O", "O", "O", "B-date_metric", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "B-numeric_below_name", "O" ]
wm_stock_metrics
tell me the 2016 number of shares information of companies with a forward p/e under 4.4x .
43
n/a
[ "what", "'s", "the", "same-store", "sales", "and", "bid", "price", "for", "Venezuela", "materials", "companies", "in", "q2", "2016", "?" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "B-target_metric_name", "I-target_metric_name", "O", "B-location_inside_name", "B-sector_name", "O", "O", "B-date_metric", "I-date_metric", "O" ]
[ "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-target_metric_name", "I-target_metric_name", "O", "B-location_inside_name", "O", "O", "O", "B-date_metric", "I-date_metric", "O" ]
wm_stock_metrics
what 's the same-store sales and bid price for Venezuela materials companies in q2 2016 ?
44
n/a
[ "I", "want", "to", "know", "how", "many", "companies", "have", "a", "tr", "value", "of", "less", "than", "10", "million", "that", "also", "is", "in", "healthcare", "providers" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "O", "O", "O", "O", "B-numeric", "I-numeric", "O", "O", "O", "O", "B-sector_name", "I-sector_name" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O" ]
wm_stock_metrics
I want to know how many companies have a tr value of less than 10 million that also is in healthcare providers
45
n/a
[ "do", "you", "know", "what", "the", "2017", "dps", "and", "ocf", "is", "for", "all", "companies", "in", "Fiji", "?" ]
[ "O", "O", "O", "O", "O", "B-date_metric", "B-target_metric_name", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]
wm_stock_metrics
do you know what the 2017 dps and ocf is for all companies in Fiji ?
46
n/a
[ "please", "get", "me", "the", "trading", "asset", "securities", "of", "the", "top", "4", "companies", "in", "united", "states", "of", "america", "." ]
[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "I-location_inside_name", "I-location_inside_name", "I-location_inside_name", "O" ]
[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "I-location_inside_name", "I-location_inside_name", "I-location_inside_name", "O" ]
wm_stock_metrics
please get me the trading asset securities of the top 4 companies in united states of america .
47
n/a
[ "i", "need", "to", "see", "the", "last", "price", "for", "the", "top", "three", "healthcare", "sector", "companies", "." ]
[ "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-sector_name", "O", "O", "O" ]
[ "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "O", "B-sector_name", "O", "O", "O" ]
wm_stock_metrics
i need to see the last price for the top three healthcare sector companies .
48
n/a
[ "what", "'s", "the", "average", "Q3", "dividends", "of", "companies", "with", "a", "number", "of", "hotels", "under", "8x", "in", "the", "US", "?" ]
[ "O", "O", "O", "O", "B-date_metric", "B-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric_below_name", "O", "O", "B-location_inside_name", "O" ]
wm_stock_metrics
what 's the average Q3 dividends of companies with a number of hotels under 8x in the US ?
49
n/a
[ "tell", "me", "the", "securities", "htm", "unrestricted", "for", "the", "top", "41", "equity", "REIT", "companies", "in", "japan", "." ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-sector_name", "I-sector_name", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-numeric_below_name", "B-sector_name", "I-sector_name", "I-sector_name", "O", "B-location_inside_name", "O" ]
wm_stock_metrics
tell me the securities htm unrestricted for the top 41 equity REIT companies in japan .
50
n/a
[ "can", "you", "provide", "PB", "ratio", "information", "for", "the", "top", "reinsurance", "companies", "?" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-sector_name", "O", "O" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-date_metric", "I-date_metric", "I-date_metric", "O" ]
wm_stock_metrics
can you provide PB ratio information for the top reinsurance companies ?
51
n/a
[ "give", "me", "the", "total", "intangible", "assets", "of", "the", "top", "five", "companies", "outside", "of", "the", "Estonia", "." ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O" ]
[ "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O" ]
wm_stock_metrics
give me the total intangible assets of the top five companies outside of the Estonia .
52
n/a
[ "what", "is", "the", "top", "restaurants", "company", "with", "a", "preferred", "equity/", "book", "capital", "above", "$", "214", "thousand", "?" ]
[ "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric", "I-numeric", "O" ]
[ "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "O" ]
wm_stock_metrics
what is the top restaurants company with a preferred equity/ book capital above $ 214 thousand ?
53
n/a
[ "give", "me", "the", "most", "recent", "quarter", "total", "enterprise", "values", "of", "the", "all", "companies", "with", "a", "forward", "price-earnings", "ratio", "less", "than", "312", "?" ]
[ "O", "O", "O", "B-date_metric", "I-date_metric", "I-date_metric", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric", "O" ]
[ "O", "O", "O", "B-date_metric", "I-date_metric", "I-date_metric", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "B-sector_name", "O" ]
wm_stock_metrics
give me the most recent quarter total enterprise values of the all companies with a forward price-earnings ratio less than 312 ?
54
n/a
[ "show", "me", "where", "to", "find", "the", "gift", "fund", "for", "the", "top", "investment", "banks", "companies", "." ]
[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-sector_name", "I-sector_name", "O", "O" ]
[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "B-sector_name", "I-sector_name", "O", "O", "O" ]
wm_stock_metrics
show me where to find the gift fund for the top investment banks companies .
55
n/a
[ "for", "companies", "outside", "of", "United", "Kingdom", "which", "companies", "have", "the", "leading", "electricity", "delivered" ]
[ "O", "O", "O", "O", "B-location_outside_name", "I-location_outside_name", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name" ]
[ "O", "O", "O", "O", "B-location_outside_name", "I-location_outside_name", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name" ]
wm_stock_metrics
for companies outside of United Kingdom which companies have the leading electricity delivered
56
n/a
[ "what", "information", "is", "available", "on", "the", "net", "operating", "revenue", "of", "companies", "with", "a", "annualization", "factor", "over", "$", "4", "thousand", "?" ]
[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric", "I-numeric", "O" ]
[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "O" ]
wm_stock_metrics
what information is available on the net operating revenue of companies with a annualization factor over $ 4 thousand ?
57
n/a
[ "get", "me", "the", "pe", "of", "the", "top", "4", "companies", "in", "india", "." ]
[ "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "B-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O" ]
wm_stock_metrics
get me the pe of the top 4 companies in india .
58
n/a
[ "show", "me", "the", "corporate", "equity", "owned", "of", "the", "top", "4", "companies", "in", "united", "states", "and", "canada", "." ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "I-location_inside_name", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "O", "B-filter_metric_name", "O", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "I-location_inside_name", "O", "B-location_inside_name", "O" ]
wm_stock_metrics
show me the corporate equity owned of the top 4 companies in united states and canada .
59
n/a
[ "i", "want", "the", "earnings", "of", "companies", "with", "a", "value", "traded", "over", "34", "million", "." ]
[ "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "I-numeric", "O" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "O" ]
wm_stock_metrics
i want the earnings of companies with a value traded over 34 million .
60
n/a
[ "will", "you", "tell", "me", "the", "CDS", "of", "the", "top", "3", "companies", "in", "european", "nations", "?" ]
[ "O", "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "I-location_inside_name", "O" ]
[ "O", "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "B-numeric_above_name", "O", "O", "B-location_outside_name", "I-location_outside_name", "O" ]
wm_stock_metrics
will you tell me the CDS of the top 3 companies in european nations ?
61
n/a
[ "what", "would", "you", "say", "is", "the", "usual", "total", "dividends", "of", "companies", "with", "a", "RROA", "under", "$", "4x", "?" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "O", "O", "B-numeric", "O" ]
[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "O", "B-numeric_below_name", "I-numeric_below_name", "O" ]
wm_stock_metrics
what would you say is the usual total dividends of companies with a RROA under $ 4x ?
62
n/a
[ "tell", "me", "the", "leverage", "ratio", "%", "for", "the", "top", "21", "healthcare", "sector", "companies", "in", "asia", "." ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "B-sector_name", "O", "O", "O", "B-location_inside_name", "O" ]
wm_stock_metrics
tell me the leverage ratio % for the top 21 healthcare sector companies in asia .
63
n/a
[ "show", "me", "the", "am", "&", "brokerage", "fees", "of", "the", "top", "41", "companies", "not", "in", "italy", "." ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O" ]
[ "O", "O", "O", "B-target_metric_name", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "B-rank", "I-rank", "O", "O", "O", "B-location_outside_name", "O" ]
wm_stock_metrics
show me the am & brokerage fees of the top 41 companies not in italy .
64
n/a
[ "need", "to", "research", "the", "fy0", "market", "capitalization", "of", "companies", "with", "a", "dividends", "per", "share", "above", "32" ]
[ "O", "O", "O", "O", "B-date_metric", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric" ]
[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric_above_name" ]
wm_stock_metrics
need to research the fy0 market capitalization of companies with a dividends per share above 32
65
n/a
[ "can", "you", "obtain", "the", "dps", "of", "the", "top", "2", "companies", "outside", "of", "Denmark", "?" ]
[ "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O" ]
[ "O", "O", "O", "O", "B-filter_metric_name", "O", "O", "O", "B-rank", "O", "O", "O", "B-location_outside_name", "O" ]
wm_stock_metrics
can you obtain the dps of the top 2 companies outside of Denmark ?
66
n/a
[ "what", "is", "the", "oanwce", "apwoei", "awcvnweu", "for", "each", "utilities", "sector", "company", "with", "a", "market", "cap", "under", "232", "?" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-sector_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "O" ]
[ "O", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "I-numeric_above_name", "O", "O", "B-sector_name", "O", "O", "O", "O", "O", "O", "O", "B-numeric_below_name", "O" ]
wm_stock_metrics
what is the oanwce apwoei awcvnweu for each utilities sector company with a market cap under 232 ?
67
n/a
[ "give", "me", "the", "forward", "pe", "of", "the", "three", "north", "america", "companies", "." ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-location_inside_name", "I-location_inside_name", "O", "O" ]
[ "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "B-location_inside_name", "I-location_inside_name", "O", "O" ]
wm_stock_metrics
give me the forward pe of the three north america companies .
68
n/a
[ "show", "me", "all", "insurance", "companies", "with", "a", "FY1", "2020", "price", "earning", "ratio", "higher", "than", "$", "69", "million" ]
[ "O", "O", "O", "B-sector_name", "O", "O", "O", "B-date_metric", "I-date_metric", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-numeric", "I-numeric" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_below_name", "I-numeric_below_name" ]
wm_stock_metrics
show me all insurance companies with a FY1 2020 price earning ratio higher than $ 69 million
69
n/a
[ "will", "you", "show", "me", "constituents", "info", "for", "the", "top", "hotels", ",", "restaurants", "and", "leisure", "companies", "?" ]
[ "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "B-sector_name", "O", "B-sector_name", "O", "B-sector_name", "O", "O" ]
[ "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-sector_name", "O", "B-sector_name", "O", "B-sector_name", "O", "O" ]
wm_stock_metrics
will you show me constituents info for the top hotels , restaurants and leisure companies ?
70
n/a
[ "tell", "me", "the", "sales", "of", "the", "top", "five", "companies", "in", "LA" ]
[ "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name" ]
[ "O", "O", "O", "B-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name" ]
wm_stock_metrics
tell me the sales of the top five companies in LA
71
n/a
[ "i", "need", "to", "know", "the", "total", "values", "of", "the", "top", "4", "companies", "in", "Bosnia", "." ]
[ "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "O" ]
wm_stock_metrics
i need to know the total values of the top 4 companies in Bosnia .
72
n/a
[ "what", "is", "the", "net", "operating", "revenue", "of", "the", "top", "ten", "health", "sector", "companies", "in", "the", "Luxembourg", "?" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "B-sector_name", "I-sector_name", "O", "O", "O", "B-location_inside_name", "O" ]
wm_stock_metrics
what is the net operating revenue of the top ten health sector companies in the Luxembourg ?
73
n/a
[ "give", "me", "the", "expense", "of", "the", "all", "companies", "with", "a", "securities", "pledged", "as", "collateral", "of", "less", "of", "23", "%", "?" ]
[ "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-numeric", "I-numeric", "O" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "O", "O", "O", "B-numeric_below_name", "B-target_metric_name", "O" ]
wm_stock_metrics
give me the expense of the all companies with a securities pledged as collateral of less of 23 % ?
74
n/a
[ "show", "me", "the", "adjusted", "net", "asset", "value", "for", "the", "top", "financials", "company", "." ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-sector_name", "O", "O" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-sector_name", "I-sector_name", "O" ]
wm_stock_metrics
show me the adjusted net asset value for the top financials company .
75
n/a
[ "i", "need", "to", "see", "the", "lei", "for", "the", "top", "three", "comm", "sector", "companies", "." ]
[ "O", "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "B-sector_name", "O", "O", "O" ]
[ "O", "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "B-rank", "B-sector_name", "O", "O", "O" ]
wm_stock_metrics
i need to see the lei for the top three comm sector companies .
76
n/a
[ "who", "currently", "has", "a", "first-lien", "mortgages", "originated", "higher", "than", "67", "%" ]
[ "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric", "I-numeric" ]
[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-numeric_above_name", "O" ]
wm_stock_metrics
who currently has a first-lien mortgages originated higher than 67 %
77
n/a
[ "need", "to", "research", "the", "separate", "account", "assets", "of", "companies", "with", "a", "pe", "ratios", "above", "1.4", "%" ]
[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "I-numeric" ]
[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "O", "O" ]
wm_stock_metrics
need to research the separate account assets of companies with a pe ratios above 1.4 %
78
n/a
[ "who", "are", "the", "largest", "companies", "focused", "on", "health", "with", "a", "price", "earning", "ratio", "under", "$", "212", "billion", "?" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-sector_name", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric", "I-numeric", "O" ]
[ "O", "O", "O", "B-rank", "O", "O", "O", "B-sector_name", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric_below_name", "I-numeric_below_name", "O" ]
wm_stock_metrics
who are the largest companies focused on health with a price earning ratio under $ 212 billion ?
79
n/a
[ "i", "am", "needing", "the", "tev", "of", "the", "top", "24", "companies", "in", "india", "." ]
[ "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O" ]
wm_stock_metrics
i am needing the tev of the top 24 companies in india .
80
n/a
[ "within", "Ethiopia", ",", "what", "is", "the", "base", "rents/", "rental", "revenue", "of", "the", "top", "paper", "containers", "companies", "?" ]
[ "O", "B-location_inside_name", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-sector_name", "I-sector_name", "O", "O" ]
[ "O", "B-location_inside_name", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-sector_name", "I-sector_name", "O", "O" ]
wm_stock_metrics
within Ethiopia , what is the base rents/ rental revenue of the top paper containers companies ?
81
n/a
[ "tell", "me", "about", "the", "capital", "expenditure", "of", "the", "top", "20", "companies", "in", "Trinidad", "in", "." ]
[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O", "O" ]
[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O", "O" ]
wm_stock_metrics
tell me about the capital expenditure of the top 20 companies in Trinidad in .
82
n/a
[ "find", "the", "q2", "forward", "price", "to", "earnings", "and", "retail", "revenues", "for", "each", "company", "in", "Honduras", "." ]
[ "O", "O", "B-date_metric", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "B-date_metric", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-location_inside_name", "O" ]
wm_stock_metrics
find the q2 forward price to earnings and retail revenues for each company in Honduras .
83
n/a
[ "show", "me", "all", "comunications", "companies", "with", "a", "cost", "trend", "rate", "higher", "than", "100", "thousand" ]
[ "O", "O", "O", "B-sector_name", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric", "I-numeric" ]
[ "O", "O", "O", "B-sector_name", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric_above_name", "I-numeric_above_name" ]
wm_stock_metrics
show me all comunications companies with a cost trend rate higher than 100 thousand
84
n/a
[ "find", "the", "total", "gross", "productive", "wells", "for", "companies", "located", "in", "Malaysia", "for", "q1", "2019", "." ]
[ "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-location_inside_name", "O", "B-date_metric", "I-date_metric", "O" ]
[ "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-location_inside_name", "O", "B-date_metric", "I-date_metric", "O" ]
wm_stock_metrics
find the total gross productive wells for companies located in Malaysia for q1 2019 .
85
n/a
[ "list", "all", "the", "companies", "with", "a", "roe", "of", "at", "least", "$", "6", "thousand", "in", "2019" ]
[ "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "O", "O", "O", "O", "B-numeric", "I-numeric", "O", "B-date_metric" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "O", "O", "B-date_metric" ]
wm_stock_metrics
list all the companies with a roe of at least $ 6 thousand in 2019
86
n/a
[ "i", "need", "to", "know", "the", "share", "capital", "of", "the", "top", "4", "companies", "in", "Bosnia", "." ]
[ "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "O", "O", "B-location_inside_name", "O" ]
wm_stock_metrics
i need to know the share capital of the top 4 companies in Bosnia .
87
n/a
[ "what", "is", "the", "ebitda/", "pre-tax", "earnings", "of", "the", "top", "ten", "energy", "sector", "companies", "in", "the", "states", "?" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "B-sector_name", "O", "O", "O", "B-location_inside_name", "I-location_inside_name", "O" ]
wm_stock_metrics
what is the ebitda/ pre-tax earnings of the top ten energy sector companies in the states ?
88
n/a
[ "tell", "me", "more", "information", "about", "the", "top", "twenty", "companies", "with", "interest", "rate", "decrease", "that", "have", "a", "noncontrolling", "interest", "over", "$", "11", "million", "." ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric", "I-numeric", "O" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "O", "O" ]
wm_stock_metrics
tell me more information about the top twenty companies with interest rate decrease that have a noncontrolling interest over $ 11 million .
89
n/a
[ "where", "can", "i", "look", "to", "find", "the", "ebitdas", "for", "the", "top", "communication", "companies", "?" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "B-sector_name", "O", "O" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "B-sector_name", "O", "O" ]
wm_stock_metrics
where can i look to find the ebitdas for the top communication companies ?
90
n/a
[ "roae", "of", "broadcasting", "companies" ]
[ "B-target_metric_name", "O", "B-sector_name", "O" ]
[ "B-target_metric_name", "O", "B-sector_name", "O" ]
wm_stock_metrics
roae of broadcasting companies
91
n/a
[ "how", "many", "companies", "are", "in", "Montenegro", "and", "also", "in", "the", "industrial", "sector", "sector" ]
[ "O", "O", "O", "O", "O", "B-location_inside_name", "O", "O", "O", "O", "B-sector_name", "O", "O" ]
[ "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-location_inside_name", "O", "O", "O", "O", "B-sector_name", "I-sector_name", "O" ]
wm_stock_metrics
how many companies are in Montenegro and also in the industrial sector sector
92
n/a
[ "how", "can", "i", "see", "partnership", "net", "revaluation", "for", "discretionary", "sector", "companies", "?" ]
[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-sector_name", "O", "O", "O" ]
[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-sector_name", "O", "O", "O" ]
wm_stock_metrics
how can i see partnership net revaluation for discretionary sector companies ?
93
n/a
[ "show", "me", "renewable", "electricity", "companies", "in", "the", "britain", "with", "a", "ltm", "forward", "pe", "above", "11", "dollars" ]
[ "O", "O", "B-sector_name", "I-sector_name", "O", "O", "O", "B-location_inside_name", "O", "O", "B-date_metric", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "O" ]
[ "O", "O", "B-sector_name", "O", "O", "O", "O", "B-location_outside_name", "O", "O", "O", "O", "O", "O", "B-numeric_below_name", "O" ]
wm_stock_metrics
show me renewable electricity companies in the britain with a ltm forward pe above 11 dollars
94
n/a
[ "get", "me", "the", "shares", "authorized", "of", "the", "top", "4", "companies", "in", "european", "union", "." ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "I-location_inside_name", "O" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "B-rank", "I-rank", "O", "O", "B-location_inside_name", "I-location_inside_name", "O" ]
wm_stock_metrics
get me the shares authorized of the top 4 companies in european union .
95
n/a
[ "i", "am", "needing", "you", "to", "get", "me", "total", "enterprise", "value/", "oibda", "of", "the", "top", "3", "companies", "in", "japan", "." ]
[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]
wm_stock_metrics
i am needing you to get me total enterprise value/ oibda of the top 3 companies in japan .
96
n/a
[ "show", "me", "the", "statutory", "managed", "care", "assets", "of", "the", "top", "41", "companies", "not", "in", "china", "." ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O" ]
[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-rank", "I-rank", "O", "O", "O", "B-location_outside_name", "O" ]
wm_stock_metrics
show me the statutory managed care assets of the top 41 companies not in china .
97
n/a
[ "i", "am", "needing", "you", "to", "get", "me", "marketcap", "of", "the", "top", "4", "companies", "in", "Austria", "." ]
[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O" ]
wm_stock_metrics
i am needing you to get me marketcap of the top 4 companies in Austria .
98
n/a
[ "how", "many", "companies", "have", "a", "debentures", "higher", "than", "45x" ]
[ "O", "O", "O", "O", "O", "B-filter_metric_name", "O", "O", "B-numeric" ]
[ "O", "O", "O", "O", "O", "B-filter_metric_name", "O", "O", "B-numeric_above_name" ]
wm_stock_metrics
how many companies have a debentures higher than 45x
99
n/a
[ "how", "many", "estates", "companies", "are", "outside", "of", "Paraguay" ]
[ "O", "O", "B-sector_name", "O", "O", "O", "O", "B-location_outside_name" ]
[ "O", "O", "B-sector_name", "I-sector_name", "O", "O", "O", "B-location_outside_name" ]
wm_stock_metrics
how many estates companies are outside of Paraguay
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