mainlp/inconsistencies_companies · Datasets at Hugging Face

id stringlengths 1 3	official_split stringclasses 1 value	tokens sequence	tags_gold sequence	tags sequence	classification stringclasses 1 value	sentence stringlengths 17 165
200	n/a	[ "give", "me", "the", "p/e", "of", "the", "three", "Kenya", "companies", "." ]	[ "O", "O", "O", "B-target_metric_name", "O", "O", "O", "B-location_inside_name", "O", "O" ]	[ "O", "O", "O", "B-target_metric_name", "O", "O", "B-rank", "B-location_inside_name", "O", "O" ]	wm_stock_metrics	give me the p/e of the three Kenya companies .
201	n/a	[ "i", "need", "research", "on", "the", "top", "construction", "materials", "company", "with", "a", "p/e", "ratios", "less", "than", "231", "million", "dollars", "." ]	[ "O", "O", "O", "O", "O", "O", "B-sector_name", "I-sector_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", "B-sector_name", "I-sector_name", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "B-numeric_below_name", "I-numeric_below_name", "I-numeric_below_name", "O" ]	wm_stock_metrics	i need research on the top construction materials company with a p/e ratios less than 231 million dollars .
202	n/a	[ "give", "me", "the", "total", "deposits", "of", "the", "top", "21", "companies", "not", "from", "japan", "." ]	[ "O", "O", "O", "B-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", "O", "O", "O", "B-rank", "O", "O", "O", "B-location_outside_name", "O" ]	wm_stock_metrics	give me the total deposits of the top 21 companies not from japan .
203	n/a	[ "please", "give", "me", "first-lien", "mortgages", "originated", "information", "of", "the", "top", "five", "companies", "in", "the", "Jordan", "." ]	[ "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_inside_name", "O" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "B-rank", "O", "O", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	please give me first-lien mortgages originated information of the top five companies in the Jordan .
204	n/a	[ "i", "need", "research", "on", "the", "top", "utilities", "company", "with", "a", "number", "of", "share", "smaller", "than", "$", "24", "million", "." ]	[ "O", "O", "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "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", "B-numeric_below_name", "I-numeric_below_name", "I-numeric_below_name", "O", "O", "O", "B-sector_name", "I-sector_name", "O" ]	wm_stock_metrics	i need research on the top utilities company with a number of share smaller than $ 24 million .
205	n/a	[ "can", "you", "obtain", "the", "nonrecurring", "rev/", "total", "revenue", "of", "the", "top", "4", "companies", "in", "italy", "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-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O", "O", "O" ]	wm_stock_metrics	can you obtain the nonrecurring rev/ total revenue of the top 4 companies in italy for me ?
206	n/a	[ "tell", "me", "companies", "outside", "of", "south", "america", "with", "share", "capital", "higher", "than", "8", "percent" ]	[ "O", "O", "O", "O", "O", "B-location_outside_name", "I-location_outside_name", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric", "I-numeric" ]	[ "O", "O", "O", "O", "O", "B-location_outside_name", "I-location_outside_name", "O", "O", "O", "O", "O", "B-numeric_above_name", "I-numeric_above_name" ]	wm_stock_metrics	tell me companies outside of south america with share capital higher than 8 percent
207	n/a	[ "show", "me", "the", "adjusted", "net", "asset", "value", "for", "the", "top", "companies", "outside", "the", "asia" ]	[ "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-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "O", "O", "O", "B-location_outside_name" ]	wm_stock_metrics	show me the adjusted net asset value for the top companies outside the asia
208	n/a	[ "show", "me", "where", "i", "can", "get", "the", "gaap", "eps", "for", "the", "top", "three", "pharmaceuticals", ",", "biotechnology", "and", "life", "sciences", "companies", "." ]	[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-sector_name", "O", "B-sector_name", "O", "B-sector_name", "I-sector_name", "O", "O" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "B-sector_name", "O", "B-sector_name", "O", "B-sector_name", "I-sector_name", "O", "O" ]	wm_stock_metrics	show me where i can get the gaap eps for the top three pharmaceuticals , biotechnology and life sciences companies .
209	n/a	[ "what", "are", "the", "top", "eight", "companies", "with", "cap", "rate", "standard", "deviation", "that", "have", "a", "long-term", "senior", "notes/", "debt", "over", "$", "3", "million", "?" ]	[ "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", "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", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-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", "O" ]	wm_stock_metrics	what are the top eight companies with cap rate standard deviation that have a long-term senior notes/ debt over $ 3 million ?
210	n/a	[ "can", "you", "perform", "a", "search", "for", "Latvia", "cable", "companies", "and", "their", "q2", "2016", "number", "of", "temporary", "employee", "and", "operating", "income", "?" ]	[ "O", "O", "O", "O", "O", "O", "B-location_inside_name", "B-sector_name", "O", "O", "O", "B-date_metric", "I-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", "O", "O", "O", "B-location_inside_name", "B-sector_name", "I-sector_name", "O", "O", "O", "B-date_metric", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-filter_metric_name", "I-filter_metric_name", "O" ]	wm_stock_metrics	can you perform a search for Latvia cable companies and their q2 2016 number of temporary employee and operating income ?
211	n/a	[ "i", "am", "needing", "the", "ebitdas", "of", "the", "top", "42", "companies", "in", "tennessee" ]	[ "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name" ]	[ "O", "O", "B-target_metric_name", "O", "B-sector_name", "O", "O", "B-date_metric", "B-numeric_above_name", "B-location_inside_name", "O", "B-location_outside_name" ]	wm_stock_metrics	i am needing the ebitdas of the top 42 companies in tennessee
212	n/a	[ "get", "me", "companies", "with", "price", "to", "book", "ratio", "below", "3.7", "billions" ]	[ "O", "O", "O", "O", "B-filter_metric_name", "I-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", "O", "B-numeric_below_name", "O" ]	wm_stock_metrics	get me companies with price to book ratio below 3.7 billions
213	n/a	[ "tell", "me", "about", "companies", "with", "a", "short", "term", "liabilities", "below", "10", "million", "within", "estate" ]	[ "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "I-numeric", "O", "B-sector_name" ]	[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-numeric_below_name", "O", "O", "B-location_inside_name" ]	wm_stock_metrics	tell me about companies with a short term liabilities below 10 million within estate
214	n/a	[ "i", "am", "interested", "in", "obtaining", "information", "about", "the", "q3", "2018", "r", "&", "d", "and", "adjusted", "net", "asset", "value", "of", "all", "software", "companies", "in", "Mexico", "." ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "B-date_metric", "I-date_metric", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-sector_name", "O", "O", "B-location_inside_name", "O" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-sector_name", "O", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	i am interested in obtaining information about the q3 2018 r & d and adjusted net asset value of all software companies in Mexico .
215	n/a	[ "can", "you", "obtain", "the", "long-term", "business", "operating", "profit", "of", "the", "top", "3", "companies", "in", "italy", "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-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O", "O", "O" ]	wm_stock_metrics	can you obtain the long-term business operating profit of the top 3 companies in italy for me ?
216	n/a	[ "find", "the", "year", "to", "date", "tech", "&", "communications", "expense", "and", "wholesale", "gas", "distribution", "revenue", "for", "each", "company", "with", "an", "bonds", "payable", "below", "10.0", "%" ]	[ "O", "O", "B-date_metric", "I-date_metric", "I-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", "I-target_metric_name", "I-target_metric_name", "O", "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", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "O" ]	wm_stock_metrics	find the year to date tech & communications expense and wholesale gas distribution revenue for each company with an bonds payable below 10.0 %
217	n/a	[ "what", "is", "the", "ocf", "for", "each", "finance", "sector", "company", "with", "a", "liquidity", "ratio", "under", "111", "billion", "?" ]	[ "O", "O", "O", "B-target_metric_name", "O", "O", "B-sector_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "I-numeric", "O" ]	[ "O", "O", "O", "B-filter_metric_name", "O", "O", "B-sector_name", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "B-numeric_below_name", "I-numeric_below_name", "O" ]	wm_stock_metrics	what is the ocf for each finance sector company with a liquidity ratio under 111 billion ?
218	n/a	[ "show", "me", "the", "companies", "based", "in", "Argentina", "with", "a", "economic", "assumption", "changes", "below", "30", "%" ]	[ "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "I-numeric" ]	[ "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-numeric_below_name", "O" ]	wm_stock_metrics	show me the companies based in Argentina with a economic assumption changes below 30 %
219	n/a	[ "which", "companies", "have", "a", "tevs", "over", "0.4", "and", "nonaccrual", "loans/", "adj", "assets", "less", "than", "100", "million" ]	[ "O", "O", "O", "O", "B-filter_metric_name", "O", "B-numeric", "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", "B-target_metric_name", "O", "B-numeric_above_name", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-numeric_below_name", "I-numeric_below_name" ]	wm_stock_metrics	which companies have a tevs over 0.4 and nonaccrual loans/ adj assets less than 100 million
220	n/a	[ "show", "me", "companies", "with", "uninsured", "percent", "of", "admissions", "<", "5", "and", "ffo", ">", "10" ]	[ "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "O", "B-filter_metric_name", "O", "B-numeric" ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-numeric_below_name", "O", "O", "O", "B-numeric_above_name" ]	wm_stock_metrics	show me companies with uninsured percent of admissions < 5 and ffo > 10
221	n/a	[ "can", "you", "obtain", "the", "total", "liabilities", "of", "the", "top", "2", "companies", "in", "Senegal", "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", "B-rank", "O", "O", "B-location_inside_name", "O", "O", "O" ]	wm_stock_metrics	can you obtain the total liabilities of the top 2 companies in Senegal for me ?
222	n/a	[ "i", "am", "in", "need", "of", "the", "total", "net", "income", "of", "the", "top", "companies", "in", "apac", "." ]	[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]	[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "B-sector_name", "O" ]	wm_stock_metrics	i am in need of the total net income of the top companies in apac .
223	n/a	[ "i", "'m", "interested", "in", "stocks", ",", "can", "you", "grab", "me", "the", "short", "term", "investments", "as", "well", "as", "annualization", "factor", "in", "q1", "2019", "of", "all", "companies", "in", "Austria", "?" ]	[ "O", "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-target_metric_name", "I-target_metric_name", "O", "B-date_metric", "I-date_metric", "O", "O", "O", "O", "B-location_inside_name", "O" ]	[ "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "B-date_metric", "I-date_metric", "O", "O", "O", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	i 'm interested in stocks , can you grab me the short term investments as well as annualization factor in q1 2019 of all companies in Austria ?
224	n/a	[ "i", "need", "statistics", "on", "the", "ptbv", "and", "nonperforming", "consumer", "lns", "for", "2018", "q3", "in", "all", "Peru", "healthcare", "companies", ".", "can", "you", "provide", "this", "?" ]	[ "O", "O", "O", "O", "O", "B-target_metric_name", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-date_metric", "I-date_metric", "O", "O", "B-location_inside_name", "B-sector_name", "O", "O", "O", "O", "O", "O", "O" ]	[ "O", "O", "B-target_metric_name", "O", "O", "B-filter_metric_name", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "B-sector_name", "O", "O", "O", "O", "O", "O", "O" ]	wm_stock_metrics	i need statistics on the ptbv and nonperforming consumer lns for 2018 q3 in all Peru healthcare companies . can you provide this ?
225	n/a	[ "cost", "of", "sales", "of", "energy", "industry", "outside", "india" ]	[ "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-sector_name", "O", "O", "B-location_outside_name" ]	[ "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-sector_name", "I-sector_name", "O", "B-location_outside_name" ]	wm_stock_metrics	cost of sales of energy industry outside india
226	n/a	[ "show", "me", "the", "PB", "ratio", "for", "the", "top", "companies", "not", "in", "the", "South", "Africa" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "I-location_outside_name" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "I-location_outside_name" ]	wm_stock_metrics	show me the PB ratio for the top companies not in the South Africa
227	n/a	[ "i", "want", "some", "information", "on", "companies", "that", "have", "a", "substandard", "loans", "below", "30", "million" ]	[ "O", "O", "O", "O", "O", "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", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric_below_name", "I-numeric_below_name" ]	wm_stock_metrics	i want some information on companies that have a substandard loans below 30 million
228	n/a	[ "how", "many", "companies", "in", "the", "communication", "district", "are", "listed", "outside", "of", "Lebanon" ]	[ "O", "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "O", "O", "B-location_outside_name" ]	[ "O", "O", "O", "O", "O", "B-sector_name", "I-sector_name", "O", "O", "O", "O", "B-location_outside_name" ]	wm_stock_metrics	how many companies in the communication district are listed outside of Lebanon
229	n/a	[ "get", "me", "the", "tev", "of", "the", "top", "3", "companies", "in", "Taiwan", "." ]	[ "O", "O", "O", "B-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", "I-target_metric_name", "O", "B-sector_name", "O" ]	wm_stock_metrics	get me the tev of the top 3 companies in Taiwan .
230	n/a	[ "what", "are", "the", "top", "eight", "companies", "with", "investment", "in", "shares", "that", "have", "a", "ptb", "over", "341", "dollars", "?" ]	[ "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", "O", "B-numeric", "O", "O" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "O", "B-numeric_above_name", "O", "O" ]	wm_stock_metrics	what are the top eight companies with investment in shares that have a ptb over 341 dollars ?
231	n/a	[ "show", "me", "the", "return", "on", "equity", "for", "the", "top", "companies", "not", "in", "the", "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", "O", "B-location_outside_name", "I-location_outside_name", "O", "B-location_outside_name" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "I-location_outside_name", "O", "B-location_outside_name" ]	wm_stock_metrics	show me the return on equity for the top companies not in the united states and canada
232	n/a	[ "i", "need", "to", "know", "the", "president", "of", "the", "top", "4", "companies", "in", "united", "states", "of", "america", "so", "look", "it", "up", "for", "me", "." ]	[ "O", "O", "O", "O", "O", "B-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", "O", "O" ]	[ "O", "O", "O", "O", "O", "B-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", "O", "O", "O", "O", "O", "O" ]	wm_stock_metrics	i need to know the president of the top 4 companies in united states of america so look it up for me .
233	n/a	[ "will", "you", "give", "me", "a", "list", "of", "every", "healthcare", "company", "in", "Ireland", ",", "as", "well", "as", "their", "2018", "q1", "asset", "value", "and", "depreciation/", "pp", "&", "e", "?" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "B-sector_name", "O", "O", "B-location_inside_name", "O", "O", "O", "O", "O", "B-date_metric", "I-date_metric", "B-target_metric_name", "I-target_metric_name", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "B-sector_name", "O", "O", "B-location_inside_name", "O", "O", "O", "O", "O", "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", "I-target_metric_name", "I-target_metric_name", "O" ]	wm_stock_metrics	will you give me a list of every healthcare company in Ireland , as well as their 2018 q1 asset value and depreciation/ pp & e ?
234	n/a	[ "how", "many", "companies", "have", "at", "least", "91", "%", "in", "market", "capitalization", "in", "fy", "2017" ]	[ "O", "O", "O", "O", "O", "O", "B-numeric", "I-numeric", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-date_metric", "I-date_metric" ]	[ "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "B-date_metric" ]	wm_stock_metrics	how many companies have at least 91 % in market capitalization in fy 2017
235	n/a	[ "tell", "me", "the", "commercial", "real", "estate", "of", "the", "top", "companies", "not", "in", "france", "." ]	[ "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", "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", "O" ]	wm_stock_metrics	tell me the commercial real estate of the top companies not in france .
236	n/a	[ "what", "information", "technology", "sector", "companies", "made", "the", "top", "ten", "list", "for", "total", "ebt", "?" ]	[ "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", "O", "O", "B-rank", "O", "O", "B-target_metric_name", "I-target_metric_name", "O" ]	wm_stock_metrics	what information technology sector companies made the top ten list for total ebt ?
237	n/a	[ "what", "are", "the", "top", "tech", "sector", "companies", "'", "total", "debt/", "total", "capitalization", "with", "a", "premium", "income", "over", "$", "2", "million", "?" ]	[ "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "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", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "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 are the top tech sector companies ' total debt/ total capitalization with a premium income over $ 2 million ?
238	n/a	[ "will", "you", "look", "up", "the", "cash", "equivalents", "of", "the", "top", "23", "companies", "in", "u.s.", "?" ]	[ "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", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-numeric_above_name", "O", "O", "O", "O" ]	wm_stock_metrics	will you look up the cash equivalents of the top 23 companies in u.s. ?
239	n/a	[ "tell", "me", "the", "levered", "fcf/", "net", "income", "for", "the", "top", "41", "grocery", "companies", "in", "Suriname", "." ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-sector_name", "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", "B-rank", "I-rank", "B-sector_name", "I-sector_name", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	tell me the levered fcf/ net income for the top 41 grocery companies in Suriname .
240	n/a	[ "will", "you", "show", "me", "total", "penetration", "info", "for", "the", "top", "telecommunication", "services", "sector", "companies", "?" ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-sector_name", "I-sector_name", "O", "O", "O" ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "B-sector_name", "I-sector_name", "O", "O", "O" ]	wm_stock_metrics	will you show me total penetration info for the top telecommunication services sector companies ?
241	n/a	[ "what", "would", "you", "say", "is", "the", "usual", "cost", "of", "sales", "of", "companies", "with", "a", "implied", "capitalization", "rate", "under", "$", "4.4x", "?" ]	[ "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", "I-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", "I-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric_below_name", "O" ]	wm_stock_metrics	what would you say is the usual cost of sales of companies with a implied capitalization rate under $ 4.4x ?
242	n/a	[ "how", "many", "companies", "have", "a", "firm", "value", "above", "73", "%", "in", "the", "consumer", "staple", "field" ]	[ "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "I-numeric", "O", "O", "B-sector_name", "I-sector_name", "O" ]	[ "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "O", "O", "O" ]	wm_stock_metrics	how many companies have a firm value above 73 % in the consumer staple field
243	n/a	[ "how", "many", "Pakistan", "companies", "are", "in", "estates", "with", "a", "ltm", "issuer", "rating", "below", "34", "%" ]	[ "O", "O", "B-location_inside_name", "O", "O", "O", "B-sector_name", "O", "O", "B-date_metric", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "I-numeric" ]	[ "O", "O", "B-location_outside_name", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "O" ]	wm_stock_metrics	how many Pakistan companies are in estates with a ltm issuer rating below 34 %
244	n/a	[ "get", "the", "nonaccrual", "loans/", "adj", "assets", "of", "the", "top", "3", "companies", "not", "in", "Uruguay", "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", "B-target_metric_name", "B-sector_name", "O", "B-numeric_above_name", "O", "O", "O", "B-numeric_above_name", "B-date_metric", "O", "O", "B-location_inside_name", "O", "B-location_outside_name", "O" ]	wm_stock_metrics	get the nonaccrual loans/ adj assets of the top 3 companies not in Uruguay for me .
245	n/a	[ "what", "is", "the", "total", "dividend", "paid", "for", "the", "top", "automobile", "company", "outside", "of", "the", "united", "states", "and", "canada", "?" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-sector_name", "O", "O", "O", "O", "B-location_outside_name", "I-location_outside_name", "O", "B-location_outside_name", "O" ]	[ "O", "O", "O", "B-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_outside_name", "I-location_outside_name", "O", "B-location_outside_name", "O" ]	wm_stock_metrics	what is the total dividend paid for the top automobile company outside of the united states and canada ?
246	n/a	[ "what", "are", "the", "5", "largest", "banks", "in", "the", "us" ]	[ "O", "O", "O", "O", "O", "B-sector_name", "O", "O", "B-location_inside_name" ]	[ "O", "O", "O", "B-rank", "O", "O", "O", "O", "O" ]	wm_stock_metrics	what are the 5 largest banks in the us
247	n/a	[ "tell", "me", "the", "top", "43", "hotels", "companies", "in", "terms", "of", "the", "professional", "fees", "reported", "." ]	[ "O", "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O" ]	[ "O", "O", "O", "O", "B-numeric_above_name", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]	wm_stock_metrics	tell me the top 43 hotels companies in terms of the professional fees reported .
248	n/a	[ "equity", "investments", "at", "cost", "for", "automobile", "companies", "in", "usa" ]	[ "B-target_metric_name", "I-target_metric_name", "I-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", "I-target_metric_name", "I-target_metric_name", "O", "B-sector_name", "O", "O", "B-location_inside_name" ]	wm_stock_metrics	equity investments at cost for automobile companies in usa
249	n/a	[ "i", "need", "to", "know", "the", "tev", "of", "the", "top", "4", "companies", "in", "europe", "so", "look", "it", "up", "for", "me", "." ]	[ "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", "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O", "O", "O", "O", "O", "O", "O" ]	wm_stock_metrics	i need to know the tev of the top 4 companies in europe so look it up for me .
250	n/a	[ "how", "many", "Europe", "companies", "are", "in", "biotechnology", "with", "a", "manufacture", "loans", "below", "$", "52", "million" ]	[ "O", "O", "B-location_inside_name", "O", "O", "O", "B-sector_name", "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", "B-numeric_above_name", "I-numeric_above_name" ]	wm_stock_metrics	how many Europe companies are in biotechnology with a manufacture loans below $ 52 million
251	n/a	[ "give", "me", "the", "q1", "2014", "hotel", "properties", "of", "the", "all", "companies", "with", "a", "ebitdas", "of", "less", "of", "$", "4", "million", "?" ]	[ "O", "O", "O", "B-date_metric", "I-date_metric", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "O", "O", "O", "O", "B-numeric", "I-numeric", "O" ]	[ "O", "O", "O", "O", "B-date_metric", "B-sector_name", "O", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "O", "O", "O", "B-numeric_below_name", "I-numeric_below_name", "I-numeric_below_name", "O" ]	wm_stock_metrics	give me the q1 2014 hotel properties of the all companies with a ebitdas of less of $ 4 million ?
252	n/a	[ "show", "me", "the", "cash", "from", "investing", "for", "the", "top", "finance", "sector", "company", "." ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-sector_name", "O", "O", "O" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-rank", "B-sector_name", "O", "O", "O" ]	wm_stock_metrics	show me the cash from investing for the top finance sector company .
253	n/a	[ "will", "you", "research", "all", "the", "companies", "with", "an", "ptbv", "larger", "than", "0.47", "and", "report", "their", "2019", "q1", "medicaid", "percent", "of", "revenue", "and", "accumulated", "asset", "retirement", "obligations", "?" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "O", "O", "B-numeric", "O", "O", "O", "B-date_metric", "I-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", "I-target_metric_name", "I-target_metric_name", "O" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "O", "O", "B-numeric_above_name", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-filter_metric_name", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O" ]	wm_stock_metrics	will you research all the companies with an ptbv larger than 0.47 and report their 2019 q1 medicaid percent of revenue and accumulated asset retirement obligations ?
254	n/a	[ "give", "me", "the", "total", "fair", "value", "liabilities", "of", "the", "all", "companies", "with", "a", "tev/", "recurring", "ebitda", "of", "less", "of", "3.3", "%", "?" ]	[ "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-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "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", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-numeric_below_name", "I-numeric_below_name", "O" ]	wm_stock_metrics	give me the total fair value liabilities of the all companies with a tev/ recurring ebitda of less of 3.3 % ?
255	n/a	[ "tell", "me", "the", "operating", "re", "noi", "of", "the", "top", "23", "companies", "that", "are", "not", "located", "in", "north", "america", "." ]	[ "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", "B-location_outside_name", "I-location_outside_name", "O" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "I-location_outside_name", "O" ]	wm_stock_metrics	tell me the operating re noi of the top 23 companies that are not located in north america .
256	n/a	[ "give", "me", "the", "total", "investment", "result", "of", "the", "top", "33", "companies", "not", "from", "italy", "." ]	[ "O", "O", "O", "B-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", "B-filter_metric_name", "O", "O", "O", "O", "B-numeric_below_name", "O", "O", "O", "B-location_outside_name", "O" ]	wm_stock_metrics	give me the total investment result of the top 33 companies not from italy .
257	n/a	[ "tell", "me", "about", "the", "accumulated", "lung", "obligation", "of", "the", "top", "five", "companies", "outside", "of", "the", "Slovakia", "." ]	[ "O", "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", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O" ]	wm_stock_metrics	tell me about the accumulated lung obligation of the top five companies outside of the Slovakia .
258	n/a	[ "will", "you", "show", "me", "re", "investment", "less", "deficit", "info", "for", "the", "top", "chemicals", "companies", "?" ]	[ "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-sector_name", "O", "O" ]	[ "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", "B-sector_name", "I-sector_name", "I-sector_name", "O" ]	wm_stock_metrics	will you show me re investment less deficit info for the top chemicals companies ?
259	n/a	[ "where", "can", "i", "look", "to", "find", "the", "P/B", "ratio", "for", "the", "top", "information", "sector", "companies", "?" ]	[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-sector_name", "O", "O", "O" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-sector_name", "I-sector_name", "O" ]	wm_stock_metrics	where can i look to find the P/B ratio for the top information sector companies ?
260	n/a	[ "where", "can", "i", "find", "last", "sale", "price", "for", "the", "top", "telecom", "sector", "companies", "?" ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-sector_name", "O", "O", "O" ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-sector_name", "O", "O", "O" ]	wm_stock_metrics	where can i find last sale price for the top telecom sector companies ?
261	n/a	[ "what", "'s", "the", "adjusted", "net", "asset", "value", "of", "the", "top", "five", "companies", "in", "Latin", "America", "and", "Caribbean", "?" ]	[ "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", "I-location_inside_name", "I-location_inside_name", "I-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-rank", "O", "O", "B-location_inside_name", "I-location_inside_name", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	what 's the adjusted net asset value of the top five companies in Latin America and Caribbean ?
262	n/a	[ "within", "Uruguay", ",", "what", "is", "the", "share", "prices", "of", "the", "top", "investment", "banks", "companies", "?" ]	[ "O", "B-location_inside_name", "O", "O", "O", "O", "B-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", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]	wm_stock_metrics	within Uruguay , what is the share prices of the top investment banks companies ?
263	n/a	[ "im", "interested", "to", "see", "the", "minimum", "ebitda", "margins", "companies", "with", "a", "enterprise", "value", "of", "at", "least", "$", "57", "million", "in", "CQ2020" ]	[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "O", "B-numeric", "I-numeric", "O", "B-date_metric" ]	[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "I-numeric_above_name", "O", "B-target_metric_name" ]	wm_stock_metrics	im interested to see the minimum ebitda margins companies with a enterprise value of at least $ 57 million in CQ2020
264	n/a	[ "i", "want", "the", "mrq", "target", "prices", "of", "companies", "with", "a", "forward", "price-earnings", "over", "$", "3", "million", "." ]	[ "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", "O", "O", "B-numeric", "I-numeric", "O" ]	[ "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "I-numeric_above_name", "O" ]	wm_stock_metrics	i want the mrq target prices of companies with a forward price-earnings over $ 3 million .
265	n/a	[ "will", "you", "look", "up", "the", "debt", "to", "capital", "ratios", "of", "the", "top", "31", "companies", "in", "america", "?" ]	[ "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", "O", "O", "O", "O", "B-numeric_above_name", "O", "O", "B-location_outside_name", "O" ]	wm_stock_metrics	will you look up the debt to capital ratios of the top 31 companies in america ?
266	n/a	[ "please", "get", "me", "the", "accounts", "payable", "of", "the", "top", "2", "companies", "in", "maryland", "." ]	[ "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", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	please get me the accounts payable of the top 2 companies in maryland .
267	n/a	[ "i", "am", "needing", "you", "to", "get", "me", "PE", "of", "the", "top", "3", "companies", "in", "Zambia", "." ]	[ "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 PE of the top 3 companies in Zambia .
268	n/a	[ "ny", "asset", "managers" ]	[ "B-location_inside_name", "B-sector_name", "I-sector_name" ]	[ "B-location_inside_name", "B-sector_name", "I-sector_name" ]	wm_stock_metrics	ny asset managers
269	n/a	[ "what", "are", "the", "top", "eight", "companies", "with", "operating", "expenses", "that", "have", "a", "inventories", "over", "$", "3", "million", "?" ]	[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-filter_metric_name", "O", "O", "B-numeric", "I-numeric", "O" ]	[ "O", "O", "O", "O", "B-rank", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-filter_metric_name", "O", "B-numeric_above_name", "I-numeric_above_name", "I-numeric_above_name", "O" ]	wm_stock_metrics	what are the top eight companies with operating expenses that have a inventories over $ 3 million ?
270	n/a	[ "show", "me", "the", "forward", "price", "earnings", "of", "the", "top", "4", "companies", "in", "us", "." ]	[ "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", "B-rank", "I-rank", "O", "O", "O", "O" ]	wm_stock_metrics	show me the forward price earnings of the top 4 companies in us .
271	n/a	[ "what", "is", "the", "last", "sale", "price", "for", "each", "materials", "company", "with", "a", "marketcap", "under", "$", "2", "million", "?" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-sector_name", "O", "O", "O", "B-filter_metric_name", "O", "O", "B-numeric", "I-numeric", "O" ]	[ "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "B-sector_name", "O", "O", "O", "B-target_metric_name", "O", "O", "B-numeric_below_name", "I-numeric_below_name", "O" ]	wm_stock_metrics	what is the last sale price for each materials company with a marketcap under $ 2 million ?
272	n/a	[ "P/E", "of", "broadcasting", "companies" ]	[ "B-target_metric_name", "O", "B-sector_name", "O" ]	[ "B-target_metric_name", "O", "B-sector_name", "I-sector_name" ]	wm_stock_metrics	P/E of broadcasting companies
273	n/a	[ "show", "me", "what", "the", "net", "debt", "are", "for", "the", "top", "3", "utility", "companies", "." ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "B-sector_name", "O", "O" ]	[ "O", "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "B-sector_name", "O", "O" ]	wm_stock_metrics	show me what the net debt are for the top 3 utility companies .
274	n/a	[ "regarding", "China", "companies", ",", "what", "was", "the", "q3", "2016", "receivables", "under", "resale", "agreements", ",", "the", "q2", "loans", "on", "deeds", ",", "and", "the", "total", "roe", "?" ]	[ "O", "B-location_inside_name", "O", "O", "O", "O", "O", "B-date_metric", "I-date_metric", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-date_metric", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O" ]	[ "O", "B-location_outside_name", "O", "O", "O", "O", "O", "O", "B-date_metric", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]	wm_stock_metrics	regarding China companies , what was the q3 2016 receivables under resale agreements , the q2 loans on deeds , and the total roe ?
275	n/a	[ "find", "the", "2016", "price/", "ltm", "affo", "for", "any", "company", "with", "an", "cppe", "more", "than", "13.0", "%", "." ]	[ "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", "O", "O", "B-numeric", "I-numeric", "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", "O", "B-filter_metric_name", "O", "O" ]	wm_stock_metrics	find the 2016 price/ ltm affo for any company with an cppe more than 13.0 % .
276	n/a	[ "i", "would", "like", "to", "know", "the", "forward", "pe", "of", "the", "top", "3", "companies", "in", "italy", "." ]	[ "O", "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-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	i would like to know the forward pe of the top 3 companies in italy .
277	n/a	[ "tell", "me", "the", "fq3", "loans", "on", "deeds", "for", "each", "companies", "with", "an", "preferred", "equity", "bigger", "than", "34.0", "%", "." ]	[ "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", "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", "O", "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	tell me the fq3 loans on deeds for each companies with an preferred equity bigger than 34.0 % .
278	n/a	[ "how", "many", "financial", "sector", "companies", "are", "outside", "of", "Italy", "and", "has", "a", "licensed", "beds", "greater", "than", "98", "%" ]	[ "O", "O", "B-sector_name", "O", "O", "O", "O", "O", "B-location_outside_name", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric", "I-numeric" ]	[ "O", "O", "B-sector_name", "I-sector_name", "O", "O", "O", "O", "B-location_outside_name", "O", "O", "O", "O", "O", "B-rank", "I-rank", "I-rank", "O" ]	wm_stock_metrics	how many financial sector companies are outside of Italy and has a licensed beds greater than 98 %
279	n/a	[ "help", "me", "to", "obtain", "FFO", "of", "the", "top", "4", "healthcare", "companies", "in", "americas", "." ]	[ "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "B-sector_name", "O", "O", "B-location_inside_name", "O" ]	[ "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "B-rank", "B-sector_name", "O", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	help me to obtain FFO of the top 4 healthcare companies in americas .
280	n/a	[ "senior", "debt/", "debt", "of", "broadcasting", "companies" ]	[ "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-sector_name", "O" ]	[ "B-target_metric_name", "I-target_metric_name", "B-filter_metric_name", "O", "B-sector_name", "O" ]	wm_stock_metrics	senior debt/ debt of broadcasting companies
281	n/a	[ "show", "me", "the", "companies", "based", "in", "Spain", "with", "a", "reserve", "replacement", "ratio", "above", "2x" ]	[ "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric" ]	[ "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O", "O", "O", "O", "O", "O", "B-numeric_above_name" ]	wm_stock_metrics	show me the companies based in Spain with a reserve replacement ratio above 2x
282	n/a	[ "of", "the", "companies", "in", "El", "Salvador", ",", "what", "was", "their", "net", "income", "margin", "and", "forward", "pe", "ratio", "back", "in", "q1", "2019", "?" ]	[ "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", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-date_metric", "I-date_metric", "O" ]	[ "O", "O", "O", "O", "B-location_inside_name", "I-location_inside_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O" ]	wm_stock_metrics	of the companies in El Salvador , what was their net income margin and forward pe ratio back in q1 2019 ?
283	n/a	[ "will", "you", "obtain", "the", "substandard", "loans", "of", "the", "top", "421", "companies", "in", "america", "and", "canada", "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", "B-location_inside_name", "O", "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", "I-location_inside_name", "I-location_inside_name", "O", "O", "O" ]	wm_stock_metrics	will you obtain the substandard loans of the top 421 companies in america and canada for me ?
284	n/a	[ "get", "me", "more", "information", "on", "ytd", "target", "stock", "price", "of", "companies", "with", "a", "current", "liabilities", "over", "221", "million", "dollars", "." ]	[ "O", "O", "O", "O", "O", "B-date_metric", "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", "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", "O", "B-numeric_above_name", "I-numeric_above_name", "I-numeric_above_name", "O" ]	wm_stock_metrics	get me more information on ytd target stock price of companies with a current liabilities over 221 million dollars .
285	n/a	[ "total", "equity", "excluding", "goodwill", "of", "healthcare", "industry", "outside", "USA" ]	[ "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-sector_name", "O", "O", "B-location_outside_name" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name" ]	wm_stock_metrics	total equity excluding goodwill of healthcare industry outside USA
286	n/a	[ "tell", "me", "more", "information", "about", "the", "top", "twenty", "companies", "with", "total", "equity", "excluding", "goodwill", "that", "have", "a", "core", "deposits/", "total", "funding", "over", "$", "34", "billion", "." ]	[ "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", "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", "O", "O", "O", "B-rank", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-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", "O", "O" ]	wm_stock_metrics	tell me more information about the top twenty companies with total equity excluding goodwill that have a core deposits/ total funding over $ 34 billion .
287	n/a	[ "what", "is", "the", "top", "technology", "sector", "company", "with", "a", "percent", "ownership", "above", "$", "44", "billion", "?" ]	[ "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric", "I-numeric", "O" ]	[ "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "B-numeric_above_name", "O", "O" ]	wm_stock_metrics	what is the top technology sector company with a percent ownership above $ 44 billion ?
288	n/a	[ "tell", "me", "about", "the", "accounts", "payable", "of", "the", "top", "five", "companies", "in", "Andorra", "." ]	[ "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-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	tell me about the accounts payable of the top five companies in Andorra .
289	n/a	[ "give", "me", "the", "uninsured", "percent", "of", "admissions", "of", "the", "all", "companies", "with", "a", "cap", "rate", "standard", "deviation", "of", "less", "of", "3", "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", "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", "B-target_metric_name", "I-target_metric_name", "O", "B-sector_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_below_name", "I-numeric_below_name", "O" ]	wm_stock_metrics	give me the uninsured percent of admissions of the all companies with a cap rate standard deviation of less of 3 billion ?
290	n/a	[ "what", "is", "the", "yield", "on", "customer", "loans", "for", "companies", "in", "taiwan", "or", "michigan" ]	[ "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", "B-location_inside_name" ]	[ "O", "O", "O", "B-target_metric_name", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-location_inside_name", "O", "B-location_inside_name" ]	wm_stock_metrics	what is the yield on customer loans for companies in taiwan or michigan
291	n/a	[ "within", "Singapore", ",", "what", "is", "the", "closings/", "new", "orders", "of", "the", "top", "reinsurance", "companies", "?" ]	[ "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-sector_name", "O", "O" ]	[ "O", "B-location_inside_name", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-sector_name", "O", "O" ]	wm_stock_metrics	within Singapore , what is the closings/ new orders of the top reinsurance companies ?
292	n/a	[ "which", "companies", "with", "a", "reported", "operating", "margin", "above", "84", "million", "dollars", "has", "the", "leading", "PBV" ]	[ "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" ]	[ "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric_above_name", "O", "O", "O", "O", "O", "O" ]	wm_stock_metrics	which companies with a reported operating margin above 84 million dollars has the leading PBV
293	n/a	[ "help", "me", "obtain", "the", "number", "of", "temporary", "employee", "of", "the", "top", "companies", "in", "washington", "." ]	[ "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", "B-location_inside_name", "O" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O" ]	wm_stock_metrics	help me obtain the number of temporary employee of the top companies in washington .
294	n/a	[ "will", "you", "look", "up", "the", "total", "debts", "of", "the", "top", "31", "companies", "in", "Angola", "?" ]	[ "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", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-numeric_above_name", "B-sector_name", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	will you look up the total debts of the top 31 companies in Angola ?
295	n/a	[ "where", "can", "i", "look", "to", "find", "the", "fcf", "for", "the", "top", "comm", "sector", "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", "O", "B-filter_metric_name", "O", "O", "O", "B-sector_name", "O", "O", "O" ]	wm_stock_metrics	where can i look to find the fcf for the top comm sector companies ?
296	n/a	[ "i", "need", "to", "see", "the", "intereset", "expense", "for", "the", "top", "three", "it", "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", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "O" ]	wm_stock_metrics	i need to see the intereset expense for the top three it companies .
297	n/a	[ "tell", "me", "the", "diluted", "nav", "shares", "of", "the", "top", "41", "companies", "that", "are", "not", "located", "in", "north", "america", "." ]	[ "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", "B-location_outside_name", "I-location_outside_name", "O" ]	[ "O", "O", "O", "B-target_metric_name", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-rank", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "I-location_outside_name", "O" ]	wm_stock_metrics	tell me the diluted nav shares of the top 41 companies that are not located in north america .
298	n/a	[ "get", "me", "the", "capital", "expenditure", "of", "the", "top", "3", "companies", "in", "Portugal", "." ]	[ "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 capital expenditure of the top 3 companies in Portugal .
299	n/a	[ "tell", "me", "more", "information", "about", "the", "top", "twenty", "companies", "with", "2018", "same-store", "sales", "that", "have", "a", "pe", "ratio", "over", "$", "341", "billion", "." ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-date_metric", "B-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", "B-rank", "O", "O", "B-date_metric", "B-sector_name", "I-sector_name", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "O" ]	wm_stock_metrics	tell me more information about the top twenty companies with 2018 same-store sales that have a pe ratio over $ 341 billion .

200

n/a

[ "give", "me", "the", "p/e", "of", "the", "three", "Kenya", "companies", "." ]

[ "O", "O", "O", "B-target_metric_name", "O", "O", "O", "B-location_inside_name", "O", "O" ]

[ "O", "O", "O", "B-target_metric_name", "O", "O", "B-rank", "B-location_inside_name", "O", "O" ]

wm_stock_metrics

give me the p/e of the three Kenya companies .

201

n/a

[ "i", "need", "research", "on", "the", "top", "construction", "materials", "company", "with", "a", "p/e", "ratios", "less", "than", "231", "million", "dollars", "." ]

[ "O", "O", "O", "O", "O", "O", "B-sector_name", "I-sector_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", "B-sector_name", "I-sector_name", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "B-numeric_below_name", "I-numeric_below_name", "I-numeric_below_name", "O" ]

wm_stock_metrics

i need research on the top construction materials company with a p/e ratios less than 231 million dollars .

202

n/a

[ "give", "me", "the", "total", "deposits", "of", "the", "top", "21", "companies", "not", "from", "japan", "." ]

[ "O", "O", "O", "B-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", "O", "O", "O", "B-rank", "O", "O", "O", "B-location_outside_name", "O" ]

wm_stock_metrics

give me the total deposits of the top 21 companies not from japan .

203

n/a

[ "please", "give", "me", "first-lien", "mortgages", "originated", "information", "of", "the", "top", "five", "companies", "in", "the", "Jordan", "." ]

[ "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_inside_name", "O" ]

[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "B-rank", "O", "O", "O", "B-location_inside_name", "O" ]

wm_stock_metrics

please give me first-lien mortgages originated information of the top five companies in the Jordan .

204

n/a

[ "i", "need", "research", "on", "the", "top", "utilities", "company", "with", "a", "number", "of", "share", "smaller", "than", "$", "24", "million", "." ]

[ "O", "O", "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "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", "B-numeric_below_name", "I-numeric_below_name", "I-numeric_below_name", "O", "O", "O", "B-sector_name", "I-sector_name", "O" ]

wm_stock_metrics

i need research on the top utilities company with a number of share smaller than $ 24 million .

205

n/a

[ "can", "you", "obtain", "the", "nonrecurring", "rev/", "total", "revenue", "of", "the", "top", "4", "companies", "in", "italy", "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-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O", "O", "O" ]

wm_stock_metrics

can you obtain the nonrecurring rev/ total revenue of the top 4 companies in italy for me ?

206

n/a

[ "tell", "me", "companies", "outside", "of", "south", "america", "with", "share", "capital", "higher", "than", "8", "percent" ]

[ "O", "O", "O", "O", "O", "B-location_outside_name", "I-location_outside_name", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric", "I-numeric" ]

[ "O", "O", "O", "O", "O", "B-location_outside_name", "I-location_outside_name", "O", "O", "O", "O", "O", "B-numeric_above_name", "I-numeric_above_name" ]

wm_stock_metrics

tell me companies outside of south america with share capital higher than 8 percent

207

n/a

[ "show", "me", "the", "adjusted", "net", "asset", "value", "for", "the", "top", "companies", "outside", "the", "asia" ]

[ "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-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "O", "O", "O", "B-location_outside_name" ]

wm_stock_metrics

show me the adjusted net asset value for the top companies outside the asia

208

n/a

[ "show", "me", "where", "i", "can", "get", "the", "gaap", "eps", "for", "the", "top", "three", "pharmaceuticals", ",", "biotechnology", "and", "life", "sciences", "companies", "." ]

[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-sector_name", "O", "B-sector_name", "O", "B-sector_name", "I-sector_name", "O", "O" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "B-sector_name", "O", "B-sector_name", "O", "B-sector_name", "I-sector_name", "O", "O" ]

wm_stock_metrics

show me where i can get the gaap eps for the top three pharmaceuticals , biotechnology and life sciences companies .

209

n/a

[ "what", "are", "the", "top", "eight", "companies", "with", "cap", "rate", "standard", "deviation", "that", "have", "a", "long-term", "senior", "notes/", "debt", "over", "$", "3", "million", "?" ]

[ "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", "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", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-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", "O" ]

wm_stock_metrics

what are the top eight companies with cap rate standard deviation that have a long-term senior notes/ debt over $ 3 million ?

210

n/a

[ "can", "you", "perform", "a", "search", "for", "Latvia", "cable", "companies", "and", "their", "q2", "2016", "number", "of", "temporary", "employee", "and", "operating", "income", "?" ]

[ "O", "O", "O", "O", "O", "O", "B-location_inside_name", "B-sector_name", "O", "O", "O", "B-date_metric", "I-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", "O", "O", "O", "B-location_inside_name", "B-sector_name", "I-sector_name", "O", "O", "O", "B-date_metric", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-filter_metric_name", "I-filter_metric_name", "O" ]

wm_stock_metrics

can you perform a search for Latvia cable companies and their q2 2016 number of temporary employee and operating income ?

211

n/a

[ "i", "am", "needing", "the", "ebitdas", "of", "the", "top", "42", "companies", "in", "tennessee" ]

[ "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name" ]

[ "O", "O", "B-target_metric_name", "O", "B-sector_name", "O", "O", "B-date_metric", "B-numeric_above_name", "B-location_inside_name", "O", "B-location_outside_name" ]

wm_stock_metrics

i am needing the ebitdas of the top 42 companies in tennessee

212

n/a

[ "get", "me", "companies", "with", "price", "to", "book", "ratio", "below", "3.7", "billions" ]

[ "O", "O", "O", "O", "B-filter_metric_name", "I-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", "O", "B-numeric_below_name", "O" ]

wm_stock_metrics

get me companies with price to book ratio below 3.7 billions

213

n/a

[ "tell", "me", "about", "companies", "with", "a", "short", "term", "liabilities", "below", "10", "million", "within", "estate" ]

[ "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "I-numeric", "O", "B-sector_name" ]

[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-numeric_below_name", "O", "O", "B-location_inside_name" ]

wm_stock_metrics

tell me about companies with a short term liabilities below 10 million within estate

214

n/a

[ "i", "am", "interested", "in", "obtaining", "information", "about", "the", "q3", "2018", "r", "&", "d", "and", "adjusted", "net", "asset", "value", "of", "all", "software", "companies", "in", "Mexico", "." ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "B-date_metric", "I-date_metric", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-sector_name", "O", "O", "B-location_inside_name", "O" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-sector_name", "O", "O", "B-location_inside_name", "O" ]

wm_stock_metrics

i am interested in obtaining information about the q3 2018 r & d and adjusted net asset value of all software companies in Mexico .

215

n/a

[ "can", "you", "obtain", "the", "long-term", "business", "operating", "profit", "of", "the", "top", "3", "companies", "in", "italy", "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-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O", "O", "O" ]

wm_stock_metrics

can you obtain the long-term business operating profit of the top 3 companies in italy for me ?

216

n/a

[ "find", "the", "year", "to", "date", "tech", "&", "communications", "expense", "and", "wholesale", "gas", "distribution", "revenue", "for", "each", "company", "with", "an", "bonds", "payable", "below", "10.0", "%" ]

[ "O", "O", "B-date_metric", "I-date_metric", "I-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", "I-target_metric_name", "I-target_metric_name", "O", "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", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "O" ]

wm_stock_metrics

find the year to date tech & communications expense and wholesale gas distribution revenue for each company with an bonds payable below 10.0 %

217

n/a

[ "what", "is", "the", "ocf", "for", "each", "finance", "sector", "company", "with", "a", "liquidity", "ratio", "under", "111", "billion", "?" ]

[ "O", "O", "O", "B-target_metric_name", "O", "O", "B-sector_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "I-numeric", "O" ]

[ "O", "O", "O", "B-filter_metric_name", "O", "O", "B-sector_name", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "B-numeric_below_name", "I-numeric_below_name", "O" ]

wm_stock_metrics

what is the ocf for each finance sector company with a liquidity ratio under 111 billion ?

218

n/a

[ "show", "me", "the", "companies", "based", "in", "Argentina", "with", "a", "economic", "assumption", "changes", "below", "30", "%" ]

[ "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "I-numeric" ]

[ "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-numeric_below_name", "O" ]

wm_stock_metrics

show me the companies based in Argentina with a economic assumption changes below 30 %

219

n/a

[ "which", "companies", "have", "a", "tevs", "over", "0.4", "and", "nonaccrual", "loans/", "adj", "assets", "less", "than", "100", "million" ]

[ "O", "O", "O", "O", "B-filter_metric_name", "O", "B-numeric", "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", "B-target_metric_name", "O", "B-numeric_above_name", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-numeric_below_name", "I-numeric_below_name" ]

wm_stock_metrics

which companies have a tevs over 0.4 and nonaccrual loans/ adj assets less than 100 million

220

n/a

[ "show", "me", "companies", "with", "uninsured", "percent", "of", "admissions", "<", "5", "and", "ffo", ">", "10" ]

[ "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "O", "B-filter_metric_name", "O", "B-numeric" ]

[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-numeric_below_name", "O", "O", "O", "B-numeric_above_name" ]

wm_stock_metrics

show me companies with uninsured percent of admissions < 5 and ffo > 10

221

n/a

[ "can", "you", "obtain", "the", "total", "liabilities", "of", "the", "top", "2", "companies", "in", "Senegal", "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", "B-rank", "O", "O", "B-location_inside_name", "O", "O", "O" ]

wm_stock_metrics

can you obtain the total liabilities of the top 2 companies in Senegal for me ?

222

n/a

[ "i", "am", "in", "need", "of", "the", "total", "net", "income", "of", "the", "top", "companies", "in", "apac", "." ]

[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]

[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "B-sector_name", "O" ]

wm_stock_metrics

i am in need of the total net income of the top companies in apac .

223

n/a

[ "i", "'m", "interested", "in", "stocks", ",", "can", "you", "grab", "me", "the", "short", "term", "investments", "as", "well", "as", "annualization", "factor", "in", "q1", "2019", "of", "all", "companies", "in", "Austria", "?" ]

[ "O", "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-target_metric_name", "I-target_metric_name", "O", "B-date_metric", "I-date_metric", "O", "O", "O", "O", "B-location_inside_name", "O" ]

[ "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "B-date_metric", "I-date_metric", "O", "O", "O", "O", "B-location_inside_name", "O" ]

wm_stock_metrics

i 'm interested in stocks , can you grab me the short term investments as well as annualization factor in q1 2019 of all companies in Austria ?

224

n/a

[ "i", "need", "statistics", "on", "the", "ptbv", "and", "nonperforming", "consumer", "lns", "for", "2018", "q3", "in", "all", "Peru", "healthcare", "companies", ".", "can", "you", "provide", "this", "?" ]

[ "O", "O", "O", "O", "O", "B-target_metric_name", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-date_metric", "I-date_metric", "O", "O", "B-location_inside_name", "B-sector_name", "O", "O", "O", "O", "O", "O", "O" ]

[ "O", "O", "B-target_metric_name", "O", "O", "B-filter_metric_name", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "B-sector_name", "O", "O", "O", "O", "O", "O", "O" ]

wm_stock_metrics

i need statistics on the ptbv and nonperforming consumer lns for 2018 q3 in all Peru healthcare companies . can you provide this ?

225

n/a

[ "cost", "of", "sales", "of", "energy", "industry", "outside", "india" ]

[ "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-sector_name", "O", "O", "B-location_outside_name" ]

[ "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-sector_name", "I-sector_name", "O", "B-location_outside_name" ]

wm_stock_metrics

cost of sales of energy industry outside india

226

n/a

[ "show", "me", "the", "PB", "ratio", "for", "the", "top", "companies", "not", "in", "the", "South", "Africa" ]

[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "I-location_outside_name" ]

wm_stock_metrics

show me the PB ratio for the top companies not in the South Africa

227

n/a

[ "i", "want", "some", "information", "on", "companies", "that", "have", "a", "substandard", "loans", "below", "30", "million" ]

[ "O", "O", "O", "O", "O", "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", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric_below_name", "I-numeric_below_name" ]

wm_stock_metrics

i want some information on companies that have a substandard loans below 30 million

228

n/a

[ "how", "many", "companies", "in", "the", "communication", "district", "are", "listed", "outside", "of", "Lebanon" ]

[ "O", "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "O", "O", "B-location_outside_name" ]

[ "O", "O", "O", "O", "O", "B-sector_name", "I-sector_name", "O", "O", "O", "O", "B-location_outside_name" ]

wm_stock_metrics

how many companies in the communication district are listed outside of Lebanon

229

n/a

[ "get", "me", "the", "tev", "of", "the", "top", "3", "companies", "in", "Taiwan", "." ]

[ "O", "O", "O", "B-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", "I-target_metric_name", "O", "B-sector_name", "O" ]

wm_stock_metrics

get me the tev of the top 3 companies in Taiwan .

230

n/a

[ "what", "are", "the", "top", "eight", "companies", "with", "investment", "in", "shares", "that", "have", "a", "ptb", "over", "341", "dollars", "?" ]

[ "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", "O", "B-numeric", "O", "O" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "O", "B-numeric_above_name", "O", "O" ]

wm_stock_metrics

what are the top eight companies with investment in shares that have a ptb over 341 dollars ?

231

n/a

[ "show", "me", "the", "return", "on", "equity", "for", "the", "top", "companies", "not", "in", "the", "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", "O", "B-location_outside_name", "I-location_outside_name", "O", "B-location_outside_name" ]

wm_stock_metrics

show me the return on equity for the top companies not in the united states and canada

232

n/a

[ "i", "need", "to", "know", "the", "president", "of", "the", "top", "4", "companies", "in", "united", "states", "of", "america", "so", "look", "it", "up", "for", "me", "." ]

[ "O", "O", "O", "O", "O", "B-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", "O", "O" ]

[ "O", "O", "O", "O", "O", "B-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", "O", "O", "O", "O", "O", "O" ]

wm_stock_metrics

i need to know the president of the top 4 companies in united states of america so look it up for me .

233

n/a

[ "will", "you", "give", "me", "a", "list", "of", "every", "healthcare", "company", "in", "Ireland", ",", "as", "well", "as", "their", "2018", "q1", "asset", "value", "and", "depreciation/", "pp", "&", "e", "?" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "B-sector_name", "O", "O", "B-location_inside_name", "O", "O", "O", "O", "O", "B-date_metric", "I-date_metric", "B-target_metric_name", "I-target_metric_name", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "B-sector_name", "O", "O", "B-location_inside_name", "O", "O", "O", "O", "O", "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", "I-target_metric_name", "I-target_metric_name", "O" ]

wm_stock_metrics

will you give me a list of every healthcare company in Ireland , as well as their 2018 q1 asset value and depreciation/ pp & e ?

234

n/a

[ "how", "many", "companies", "have", "at", "least", "91", "%", "in", "market", "capitalization", "in", "fy", "2017" ]

[ "O", "O", "O", "O", "O", "O", "B-numeric", "I-numeric", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-date_metric", "I-date_metric" ]

[ "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "B-date_metric" ]

wm_stock_metrics

how many companies have at least 91 % in market capitalization in fy 2017

235

n/a

[ "tell", "me", "the", "commercial", "real", "estate", "of", "the", "top", "companies", "not", "in", "france", "." ]

[ "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", "O" ]

wm_stock_metrics

tell me the commercial real estate of the top companies not in france .

236

n/a

[ "what", "information", "technology", "sector", "companies", "made", "the", "top", "ten", "list", "for", "total", "ebt", "?" ]

[ "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", "O", "O", "B-rank", "O", "O", "B-target_metric_name", "I-target_metric_name", "O" ]

wm_stock_metrics

what information technology sector companies made the top ten list for total ebt ?

237

n/a

[ "what", "are", "the", "top", "tech", "sector", "companies", "'", "total", "debt/", "total", "capitalization", "with", "a", "premium", "income", "over", "$", "2", "million", "?" ]

[ "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "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", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "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 are the top tech sector companies ' total debt/ total capitalization with a premium income over $ 2 million ?

238

n/a

[ "will", "you", "look", "up", "the", "cash", "equivalents", "of", "the", "top", "23", "companies", "in", "u.s.", "?" ]

[ "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", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-numeric_above_name", "O", "O", "O", "O" ]

wm_stock_metrics

will you look up the cash equivalents of the top 23 companies in u.s. ?

239

n/a

[ "tell", "me", "the", "levered", "fcf/", "net", "income", "for", "the", "top", "41", "grocery", "companies", "in", "Suriname", "." ]

[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-sector_name", "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", "B-rank", "I-rank", "B-sector_name", "I-sector_name", "O", "B-location_inside_name", "O" ]

wm_stock_metrics

tell me the levered fcf/ net income for the top 41 grocery companies in Suriname .

240

n/a

[ "will", "you", "show", "me", "total", "penetration", "info", "for", "the", "top", "telecommunication", "services", "sector", "companies", "?" ]

[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-sector_name", "I-sector_name", "O", "O", "O" ]

[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "B-sector_name", "I-sector_name", "O", "O", "O" ]

wm_stock_metrics

will you show me total penetration info for the top telecommunication services sector companies ?

241

n/a

[ "what", "would", "you", "say", "is", "the", "usual", "cost", "of", "sales", "of", "companies", "with", "a", "implied", "capitalization", "rate", "under", "$", "4.4x", "?" ]

[ "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", "I-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", "I-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric_below_name", "O" ]

wm_stock_metrics

what would you say is the usual cost of sales of companies with a implied capitalization rate under $ 4.4x ?

242

n/a

[ "how", "many", "companies", "have", "a", "firm", "value", "above", "73", "%", "in", "the", "consumer", "staple", "field" ]

[ "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "I-numeric", "O", "O", "B-sector_name", "I-sector_name", "O" ]

[ "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "O", "O", "O" ]

wm_stock_metrics

how many companies have a firm value above 73 % in the consumer staple field

243

n/a

[ "how", "many", "Pakistan", "companies", "are", "in", "estates", "with", "a", "ltm", "issuer", "rating", "below", "34", "%" ]

[ "O", "O", "B-location_inside_name", "O", "O", "O", "B-sector_name", "O", "O", "B-date_metric", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "I-numeric" ]

[ "O", "O", "B-location_outside_name", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "O" ]

wm_stock_metrics

how many Pakistan companies are in estates with a ltm issuer rating below 34 %

244

n/a

[ "get", "the", "nonaccrual", "loans/", "adj", "assets", "of", "the", "top", "3", "companies", "not", "in", "Uruguay", "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", "B-target_metric_name", "B-sector_name", "O", "B-numeric_above_name", "O", "O", "O", "B-numeric_above_name", "B-date_metric", "O", "O", "B-location_inside_name", "O", "B-location_outside_name", "O" ]

wm_stock_metrics

get the nonaccrual loans/ adj assets of the top 3 companies not in Uruguay for me .

245

n/a

[ "what", "is", "the", "total", "dividend", "paid", "for", "the", "top", "automobile", "company", "outside", "of", "the", "united", "states", "and", "canada", "?" ]

[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-sector_name", "O", "O", "O", "O", "B-location_outside_name", "I-location_outside_name", "O", "B-location_outside_name", "O" ]

[ "O", "O", "O", "B-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_outside_name", "I-location_outside_name", "O", "B-location_outside_name", "O" ]

wm_stock_metrics

what is the total dividend paid for the top automobile company outside of the united states and canada ?

246

n/a

[ "what", "are", "the", "5", "largest", "banks", "in", "the", "us" ]

[ "O", "O", "O", "O", "O", "B-sector_name", "O", "O", "B-location_inside_name" ]

[ "O", "O", "O", "B-rank", "O", "O", "O", "O", "O" ]

wm_stock_metrics

what are the 5 largest banks in the us

247

n/a

[ "tell", "me", "the", "top", "43", "hotels", "companies", "in", "terms", "of", "the", "professional", "fees", "reported", "." ]

[ "O", "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O" ]

[ "O", "O", "O", "O", "B-numeric_above_name", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

wm_stock_metrics

tell me the top 43 hotels companies in terms of the professional fees reported .

248

n/a

[ "equity", "investments", "at", "cost", "for", "automobile", "companies", "in", "usa" ]

[ "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-sector_name", "O", "O", "B-location_inside_name" ]

wm_stock_metrics

equity investments at cost for automobile companies in usa

249

n/a

[ "i", "need", "to", "know", "the", "tev", "of", "the", "top", "4", "companies", "in", "europe", "so", "look", "it", "up", "for", "me", "." ]

[ "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", "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O", "O", "O", "O", "O", "O", "O" ]

wm_stock_metrics

i need to know the tev of the top 4 companies in europe so look it up for me .

250

n/a

[ "how", "many", "Europe", "companies", "are", "in", "biotechnology", "with", "a", "manufacture", "loans", "below", "$", "52", "million" ]

[ "O", "O", "B-location_inside_name", "O", "O", "O", "B-sector_name", "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", "B-numeric_above_name", "I-numeric_above_name" ]

wm_stock_metrics

how many Europe companies are in biotechnology with a manufacture loans below $ 52 million

251

n/a

[ "give", "me", "the", "q1", "2014", "hotel", "properties", "of", "the", "all", "companies", "with", "a", "ebitdas", "of", "less", "of", "$", "4", "million", "?" ]

[ "O", "O", "O", "B-date_metric", "I-date_metric", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "O", "O", "O", "O", "B-numeric", "I-numeric", "O" ]

[ "O", "O", "O", "O", "B-date_metric", "B-sector_name", "O", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "O", "O", "O", "B-numeric_below_name", "I-numeric_below_name", "I-numeric_below_name", "O" ]

wm_stock_metrics

give me the q1 2014 hotel properties of the all companies with a ebitdas of less of $ 4 million ?

252

n/a

[ "show", "me", "the", "cash", "from", "investing", "for", "the", "top", "finance", "sector", "company", "." ]

[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-sector_name", "O", "O", "O" ]

[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-rank", "B-sector_name", "O", "O", "O" ]

wm_stock_metrics

show me the cash from investing for the top finance sector company .

253

n/a

[ "will", "you", "research", "all", "the", "companies", "with", "an", "ptbv", "larger", "than", "0.47", "and", "report", "their", "2019", "q1", "medicaid", "percent", "of", "revenue", "and", "accumulated", "asset", "retirement", "obligations", "?" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "O", "O", "B-numeric", "O", "O", "O", "B-date_metric", "I-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", "I-target_metric_name", "I-target_metric_name", "O" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "O", "O", "B-numeric_above_name", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-filter_metric_name", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O" ]

wm_stock_metrics

will you research all the companies with an ptbv larger than 0.47 and report their 2019 q1 medicaid percent of revenue and accumulated asset retirement obligations ?

254

n/a

[ "give", "me", "the", "total", "fair", "value", "liabilities", "of", "the", "all", "companies", "with", "a", "tev/", "recurring", "ebitda", "of", "less", "of", "3.3", "%", "?" ]

[ "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-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "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", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-numeric_below_name", "I-numeric_below_name", "O" ]

wm_stock_metrics

give me the total fair value liabilities of the all companies with a tev/ recurring ebitda of less of 3.3 % ?

255

n/a

[ "tell", "me", "the", "operating", "re", "noi", "of", "the", "top", "23", "companies", "that", "are", "not", "located", "in", "north", "america", "." ]

[ "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", "B-location_outside_name", "I-location_outside_name", "O" ]

[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "I-location_outside_name", "O" ]

wm_stock_metrics

tell me the operating re noi of the top 23 companies that are not located in north america .

256

n/a

[ "give", "me", "the", "total", "investment", "result", "of", "the", "top", "33", "companies", "not", "from", "italy", "." ]

[ "O", "O", "O", "B-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", "B-filter_metric_name", "O", "O", "O", "O", "B-numeric_below_name", "O", "O", "O", "B-location_outside_name", "O" ]

wm_stock_metrics

give me the total investment result of the top 33 companies not from italy .

257

n/a

[ "tell", "me", "about", "the", "accumulated", "lung", "obligation", "of", "the", "top", "five", "companies", "outside", "of", "the", "Slovakia", "." ]

[ "O", "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", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O" ]

wm_stock_metrics

tell me about the accumulated lung obligation of the top five companies outside of the Slovakia .

258

n/a

[ "will", "you", "show", "me", "re", "investment", "less", "deficit", "info", "for", "the", "top", "chemicals", "companies", "?" ]

[ "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-sector_name", "O", "O" ]

[ "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", "B-sector_name", "I-sector_name", "I-sector_name", "O" ]

wm_stock_metrics

will you show me re investment less deficit info for the top chemicals companies ?

259

n/a

[ "where", "can", "i", "look", "to", "find", "the", "P/B", "ratio", "for", "the", "top", "information", "sector", "companies", "?" ]

[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-sector_name", "O", "O", "O" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-sector_name", "I-sector_name", "O" ]

wm_stock_metrics

where can i look to find the P/B ratio for the top information sector companies ?

260

n/a

[ "where", "can", "i", "find", "last", "sale", "price", "for", "the", "top", "telecom", "sector", "companies", "?" ]

[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-sector_name", "O", "O", "O" ]

wm_stock_metrics

where can i find last sale price for the top telecom sector companies ?

261

n/a

[ "what", "'s", "the", "adjusted", "net", "asset", "value", "of", "the", "top", "five", "companies", "in", "Latin", "America", "and", "Caribbean", "?" ]

[ "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", "I-location_inside_name", "I-location_inside_name", "I-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-rank", "O", "O", "B-location_inside_name", "I-location_inside_name", "O", "B-location_inside_name", "O" ]

wm_stock_metrics

what 's the adjusted net asset value of the top five companies in Latin America and Caribbean ?

262

n/a

[ "within", "Uruguay", ",", "what", "is", "the", "share", "prices", "of", "the", "top", "investment", "banks", "companies", "?" ]

[ "O", "B-location_inside_name", "O", "O", "O", "O", "B-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", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

wm_stock_metrics

within Uruguay , what is the share prices of the top investment banks companies ?

263

n/a

[ "im", "interested", "to", "see", "the", "minimum", "ebitda", "margins", "companies", "with", "a", "enterprise", "value", "of", "at", "least", "$", "57", "million", "in", "CQ2020" ]

[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "O", "B-numeric", "I-numeric", "O", "B-date_metric" ]

[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "I-numeric_above_name", "O", "B-target_metric_name" ]

wm_stock_metrics

im interested to see the minimum ebitda margins companies with a enterprise value of at least $ 57 million in CQ2020

264

n/a

[ "i", "want", "the", "mrq", "target", "prices", "of", "companies", "with", "a", "forward", "price-earnings", "over", "$", "3", "million", "." ]

[ "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", "O", "O", "B-numeric", "I-numeric", "O" ]

[ "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "I-numeric_above_name", "O" ]

wm_stock_metrics

i want the mrq target prices of companies with a forward price-earnings over $ 3 million .

265

n/a

[ "will", "you", "look", "up", "the", "debt", "to", "capital", "ratios", "of", "the", "top", "31", "companies", "in", "america", "?" ]

[ "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", "O", "O", "O", "O", "B-numeric_above_name", "O", "O", "B-location_outside_name", "O" ]

wm_stock_metrics

will you look up the debt to capital ratios of the top 31 companies in america ?

266

n/a

[ "please", "get", "me", "the", "accounts", "payable", "of", "the", "top", "2", "companies", "in", "maryland", "." ]

[ "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", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O" ]

wm_stock_metrics

please get me the accounts payable of the top 2 companies in maryland .

267

n/a

[ "i", "am", "needing", "you", "to", "get", "me", "PE", "of", "the", "top", "3", "companies", "in", "Zambia", "." ]

[ "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 PE of the top 3 companies in Zambia .

268

n/a

[ "ny", "asset", "managers" ]

[ "B-location_inside_name", "B-sector_name", "I-sector_name" ]

wm_stock_metrics

ny asset managers

269

n/a

[ "what", "are", "the", "top", "eight", "companies", "with", "operating", "expenses", "that", "have", "a", "inventories", "over", "$", "3", "million", "?" ]

[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-filter_metric_name", "O", "O", "B-numeric", "I-numeric", "O" ]

[ "O", "O", "O", "O", "B-rank", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-filter_metric_name", "O", "B-numeric_above_name", "I-numeric_above_name", "I-numeric_above_name", "O" ]

wm_stock_metrics

what are the top eight companies with operating expenses that have a inventories over $ 3 million ?

270

n/a

[ "show", "me", "the", "forward", "price", "earnings", "of", "the", "top", "4", "companies", "in", "us", "." ]

[ "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", "B-rank", "I-rank", "O", "O", "O", "O" ]

wm_stock_metrics

show me the forward price earnings of the top 4 companies in us .

271

n/a

[ "what", "is", "the", "last", "sale", "price", "for", "each", "materials", "company", "with", "a", "marketcap", "under", "$", "2", "million", "?" ]

[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-sector_name", "O", "O", "O", "B-filter_metric_name", "O", "O", "B-numeric", "I-numeric", "O" ]

[ "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "B-sector_name", "O", "O", "O", "B-target_metric_name", "O", "O", "B-numeric_below_name", "I-numeric_below_name", "O" ]

wm_stock_metrics

what is the last sale price for each materials company with a marketcap under $ 2 million ?

272

n/a

[ "P/E", "of", "broadcasting", "companies" ]

[ "B-target_metric_name", "O", "B-sector_name", "O" ]

[ "B-target_metric_name", "O", "B-sector_name", "I-sector_name" ]

wm_stock_metrics

P/E of broadcasting companies

273

n/a

[ "show", "me", "what", "the", "net", "debt", "are", "for", "the", "top", "3", "utility", "companies", "." ]

[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "B-sector_name", "O", "O" ]

[ "O", "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "B-sector_name", "O", "O" ]

wm_stock_metrics

show me what the net debt are for the top 3 utility companies .

274

n/a

[ "regarding", "China", "companies", ",", "what", "was", "the", "q3", "2016", "receivables", "under", "resale", "agreements", ",", "the", "q2", "loans", "on", "deeds", ",", "and", "the", "total", "roe", "?" ]

[ "O", "B-location_inside_name", "O", "O", "O", "O", "O", "B-date_metric", "I-date_metric", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-date_metric", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O" ]

[ "O", "B-location_outside_name", "O", "O", "O", "O", "O", "O", "B-date_metric", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

wm_stock_metrics

regarding China companies , what was the q3 2016 receivables under resale agreements , the q2 loans on deeds , and the total roe ?

275

n/a

[ "find", "the", "2016", "price/", "ltm", "affo", "for", "any", "company", "with", "an", "cppe", "more", "than", "13.0", "%", "." ]

[ "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", "O", "O", "B-numeric", "I-numeric", "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", "O", "B-filter_metric_name", "O", "O" ]

wm_stock_metrics

find the 2016 price/ ltm affo for any company with an cppe more than 13.0 % .

276

n/a

[ "i", "would", "like", "to", "know", "the", "forward", "pe", "of", "the", "top", "3", "companies", "in", "italy", "." ]

[ "O", "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-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O" ]

wm_stock_metrics

i would like to know the forward pe of the top 3 companies in italy .

277

n/a

[ "tell", "me", "the", "fq3", "loans", "on", "deeds", "for", "each", "companies", "with", "an", "preferred", "equity", "bigger", "than", "34.0", "%", "." ]

[ "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", "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", "O", "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

tell me the fq3 loans on deeds for each companies with an preferred equity bigger than 34.0 % .

278

n/a

[ "how", "many", "financial", "sector", "companies", "are", "outside", "of", "Italy", "and", "has", "a", "licensed", "beds", "greater", "than", "98", "%" ]

[ "O", "O", "B-sector_name", "O", "O", "O", "O", "O", "B-location_outside_name", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric", "I-numeric" ]

[ "O", "O", "B-sector_name", "I-sector_name", "O", "O", "O", "O", "B-location_outside_name", "O", "O", "O", "O", "O", "B-rank", "I-rank", "I-rank", "O" ]

wm_stock_metrics

how many financial sector companies are outside of Italy and has a licensed beds greater than 98 %

279

n/a

[ "help", "me", "to", "obtain", "FFO", "of", "the", "top", "4", "healthcare", "companies", "in", "americas", "." ]

[ "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "B-sector_name", "O", "O", "B-location_inside_name", "O" ]

[ "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "B-rank", "B-sector_name", "O", "O", "B-location_inside_name", "O" ]

wm_stock_metrics

help me to obtain FFO of the top 4 healthcare companies in americas .

280

n/a

[ "senior", "debt/", "debt", "of", "broadcasting", "companies" ]

[ "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-sector_name", "O" ]

[ "B-target_metric_name", "I-target_metric_name", "B-filter_metric_name", "O", "B-sector_name", "O" ]

wm_stock_metrics

senior debt/ debt of broadcasting companies

281

n/a

[ "show", "me", "the", "companies", "based", "in", "Spain", "with", "a", "reserve", "replacement", "ratio", "above", "2x" ]

[ "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric" ]

[ "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O", "O", "O", "O", "O", "O", "B-numeric_above_name" ]

wm_stock_metrics

show me the companies based in Spain with a reserve replacement ratio above 2x

282

n/a

[ "of", "the", "companies", "in", "El", "Salvador", ",", "what", "was", "their", "net", "income", "margin", "and", "forward", "pe", "ratio", "back", "in", "q1", "2019", "?" ]

[ "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", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-date_metric", "I-date_metric", "O" ]

[ "O", "O", "O", "O", "B-location_inside_name", "I-location_inside_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O" ]

wm_stock_metrics

of the companies in El Salvador , what was their net income margin and forward pe ratio back in q1 2019 ?

283

n/a

[ "will", "you", "obtain", "the", "substandard", "loans", "of", "the", "top", "421", "companies", "in", "america", "and", "canada", "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", "B-location_inside_name", "O", "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", "I-location_inside_name", "I-location_inside_name", "O", "O", "O" ]

wm_stock_metrics

will you obtain the substandard loans of the top 421 companies in america and canada for me ?

284

n/a

[ "get", "me", "more", "information", "on", "ytd", "target", "stock", "price", "of", "companies", "with", "a", "current", "liabilities", "over", "221", "million", "dollars", "." ]

[ "O", "O", "O", "O", "O", "B-date_metric", "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", "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", "O", "B-numeric_above_name", "I-numeric_above_name", "I-numeric_above_name", "O" ]

wm_stock_metrics

get me more information on ytd target stock price of companies with a current liabilities over 221 million dollars .

285

n/a

[ "total", "equity", "excluding", "goodwill", "of", "healthcare", "industry", "outside", "USA" ]

[ "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-sector_name", "O", "O", "B-location_outside_name" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name" ]

wm_stock_metrics

total equity excluding goodwill of healthcare industry outside USA

286

n/a

[ "tell", "me", "more", "information", "about", "the", "top", "twenty", "companies", "with", "total", "equity", "excluding", "goodwill", "that", "have", "a", "core", "deposits/", "total", "funding", "over", "$", "34", "billion", "." ]

[ "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", "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", "O", "O", "O", "B-rank", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-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", "O", "O" ]

wm_stock_metrics

tell me more information about the top twenty companies with total equity excluding goodwill that have a core deposits/ total funding over $ 34 billion .

287

n/a

[ "what", "is", "the", "top", "technology", "sector", "company", "with", "a", "percent", "ownership", "above", "$", "44", "billion", "?" ]

[ "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric", "I-numeric", "O" ]

[ "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "B-numeric_above_name", "O", "O" ]

wm_stock_metrics

what is the top technology sector company with a percent ownership above $ 44 billion ?

288

n/a

[ "tell", "me", "about", "the", "accounts", "payable", "of", "the", "top", "five", "companies", "in", "Andorra", "." ]

[ "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-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O" ]

wm_stock_metrics

tell me about the accounts payable of the top five companies in Andorra .

289

n/a

[ "give", "me", "the", "uninsured", "percent", "of", "admissions", "of", "the", "all", "companies", "with", "a", "cap", "rate", "standard", "deviation", "of", "less", "of", "3", "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", "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", "B-target_metric_name", "I-target_metric_name", "O", "B-sector_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_below_name", "I-numeric_below_name", "O" ]

wm_stock_metrics

give me the uninsured percent of admissions of the all companies with a cap rate standard deviation of less of 3 billion ?

290

n/a

[ "what", "is", "the", "yield", "on", "customer", "loans", "for", "companies", "in", "taiwan", "or", "michigan" ]

[ "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", "B-location_inside_name" ]

[ "O", "O", "O", "B-target_metric_name", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-location_inside_name", "O", "B-location_inside_name" ]

wm_stock_metrics

what is the yield on customer loans for companies in taiwan or michigan

291

n/a

[ "within", "Singapore", ",", "what", "is", "the", "closings/", "new", "orders", "of", "the", "top", "reinsurance", "companies", "?" ]

[ "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-sector_name", "O", "O" ]

[ "O", "B-location_inside_name", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-sector_name", "O", "O" ]

wm_stock_metrics

within Singapore , what is the closings/ new orders of the top reinsurance companies ?

292

n/a

[ "which", "companies", "with", "a", "reported", "operating", "margin", "above", "84", "million", "dollars", "has", "the", "leading", "PBV" ]

[ "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" ]

[ "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric_above_name", "O", "O", "O", "O", "O", "O" ]

wm_stock_metrics

which companies with a reported operating margin above 84 million dollars has the leading PBV

293

n/a

[ "help", "me", "obtain", "the", "number", "of", "temporary", "employee", "of", "the", "top", "companies", "in", "washington", "." ]

[ "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", "B-location_inside_name", "O" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O" ]

wm_stock_metrics

help me obtain the number of temporary employee of the top companies in washington .

294

n/a

[ "will", "you", "look", "up", "the", "total", "debts", "of", "the", "top", "31", "companies", "in", "Angola", "?" ]

[ "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", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-numeric_above_name", "B-sector_name", "O", "B-location_inside_name", "O" ]

wm_stock_metrics

will you look up the total debts of the top 31 companies in Angola ?

295

n/a

[ "where", "can", "i", "look", "to", "find", "the", "fcf", "for", "the", "top", "comm", "sector", "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", "O", "B-filter_metric_name", "O", "O", "O", "B-sector_name", "O", "O", "O" ]

wm_stock_metrics

where can i look to find the fcf for the top comm sector companies ?

296

n/a

[ "i", "need", "to", "see", "the", "intereset", "expense", "for", "the", "top", "three", "it", "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", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "O" ]

wm_stock_metrics

i need to see the intereset expense for the top three it companies .

297

n/a

[ "tell", "me", "the", "diluted", "nav", "shares", "of", "the", "top", "41", "companies", "that", "are", "not", "located", "in", "north", "america", "." ]

[ "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", "B-location_outside_name", "I-location_outside_name", "O" ]

[ "O", "O", "O", "B-target_metric_name", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-rank", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "I-location_outside_name", "O" ]

wm_stock_metrics

tell me the diluted nav shares of the top 41 companies that are not located in north america .

298

n/a

[ "get", "me", "the", "capital", "expenditure", "of", "the", "top", "3", "companies", "in", "Portugal", "." ]

[ "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 capital expenditure of the top 3 companies in Portugal .

299

n/a

[ "tell", "me", "more", "information", "about", "the", "top", "twenty", "companies", "with", "2018", "same-store", "sales", "that", "have", "a", "pe", "ratio", "over", "$", "341", "billion", "." ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-date_metric", "B-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", "B-rank", "O", "O", "B-date_metric", "B-sector_name", "I-sector_name", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "O" ]

wm_stock_metrics

tell me more information about the top twenty companies with 2018 same-store sales that have a pe ratio over $ 341 billion .