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
100	n/a	[ "who", "are", "the", "largest", "companies", "focused", "on", "utilities", "with", "a", "ebitdas", "under", "$", "31", "billion", "?" ]	[ "O", "O", "O", "O", "O", "O", "O", "B-sector_name", "O", "O", "B-filter_metric_name", "O", "O", "B-numeric", "I-numeric", "O" ]	[ "O", "O", "O", "B-target_metric_name", "B-filter_metric_name", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "O" ]	wm_stock_metrics	who are the largest companies focused on utilities with a ebitdas under $ 31 billion ?
101	n/a	[ "i", "am", "needing", "the", "securities", "available", "for", "sale", "of", "the", "top", "21", "companies", "in", "Botswana", "." ]	[ "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", "B-filter_metric_name", "O", "O", "O", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	i am needing the securities available for sale of the top 21 companies in Botswana .
102	n/a	[ "please", "get", "me", "the", "total", "values", "of", "the", "top", "4", "companies", "in", "Curacao", "." ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	please get me the total values of the top 4 companies in Curacao .
103	n/a	[ "show", "me", "IT", "companies", "in", "the", "united", "states", "with", "a", "long", "term", "investments", "above", "3", "billion", "dollars" ]	[ "O", "O", "B-sector_name", "O", "O", "O", "B-location_inside_name", "I-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", "B-sector_name", "O", "O", "O", "B-location_inside_name", "I-location_inside_name", "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "O" ]	wm_stock_metrics	show me IT companies in the united states with a long term investments above 3 billion dollars
104	n/a	[ "find", "every", "company", "with", "an", "share", "in", "current", "taxes", "under", "84.0", "%", "and", "then", "show", "me", "their", "2016", "q3", "shares", "authorized", "." ]	[ "O", "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", "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", "I-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric_below_name", "I-numeric_below_name", "O", "O", "O", "O", "O", "B-date_metric", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O" ]	wm_stock_metrics	find every company with an share in current taxes under 84.0 % and then show me their 2016 q3 shares authorized .
105	n/a	[ "I", "want", "to", "know", "how", "many", "companies", "have", "a", "forward", "price-earnings", "value", "of", "less", "than", "100", "thousand", "that", "also", "is", "in", "information", "technology" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "O", "B-numeric", "I-numeric", "O", "O", "O", "O", "B-sector_name", "I-sector_name" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-numeric_below_name", "I-numeric_below_name", "O", "O", "O", "O", "B-sector_name", "I-sector_name" ]	wm_stock_metrics	I want to know how many companies have a forward price-earnings value of less than 100 thousand that also is in information technology
106	n/a	[ "can", "you", "provide", "same", "store", "sales", "growth", "information", "for", "the", "top", "capital", "goods", "companies", "?" ]	[ "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", "I-sector_name", "O", "O" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-sector_name", "I-sector_name", "O", "O" ]	wm_stock_metrics	can you provide same store sales growth information for the top capital goods companies ?
107	n/a	[ "tell", "me", "the", "filing", "currency", "of", "the", "top", "3", "companies", "in", "china", "." ]	[ "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", "O", "O", "O", "O", "O" ]	wm_stock_metrics	tell me the filing currency of the top 3 companies in china .
108	n/a	[ "show", "me", "the", "market", "share", "for", "the", "top", "companies", "outside", "the", "Norway" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_outside_name" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_outside_name" ]	wm_stock_metrics	show me the market share for the top companies outside the Norway
109	n/a	[ "tell", "me", "the", "net", "loan", "of", "the", "top", "companies", "not", "in", "Ras", "Al", "Khaimah", "." ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "I-location_outside_name", "I-location_outside_name", "O" ]	[ "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "I-location_outside_name", "I-location_outside_name", "O" ]	wm_stock_metrics	tell me the net loan of the top companies not in Ras Al Khaimah .
110	n/a	[ "will", "you", "tell", "me", "about", "the", "top", "eight", "companies", "with", "PB", "that", "have", "a", "development", "land", "over", "434", "billion", "?" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "I-numeric", "O" ]	[ "O", "O", "O", "O", "O", "O", "O", "B-rank", "O", "O", "B-target_metric_name", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric_above_name", "I-numeric_above_name", "O" ]	wm_stock_metrics	will you tell me about the top eight companies with PB that have a development land over 434 billion ?
111	n/a	[ "i", "would", "like", "information", "about", "the", "shares", "authorized", "and", "2017", "q4", "total", "dividend", "paid", "of", "companies", "in", "South", "Korea", "." ]	[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "B-date_metric", "I-date_metric", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-location_inside_name", "I-location_inside_name", "O" ]	[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "B-date_metric", "I-date_metric", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-location_inside_name", "I-location_inside_name", "O" ]	wm_stock_metrics	i would like information about the shares authorized and 2017 q4 total dividend paid of companies in South Korea .
112	n/a	[ "show", "me", "where", "i", "can", "get", "the", "franchise", "properties", "revpar", "for", "the", "top", "three", "finance", "sector", "companies", "." ]	[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-sector_name", "O", "O", "O" ]	[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "B-sector_name", "O", "O", "O" ]	wm_stock_metrics	show me where i can get the franchise properties revpar for the top three finance sector companies .
113	n/a	[ "give", "me", "information", "on", "firm", "values", "of", "companies", "with", "a", "DPS", "over", "4", "billion", "." ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "O", "B-numeric", "I-numeric", "O" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "O", "B-numeric_above_name", "I-numeric_above_name", "O" ]	wm_stock_metrics	give me information on firm values of companies with a DPS over 4 billion .
114	n/a	[ "which", "institutions", "outside", "of", "Andorra", "have", "over", "51", "%", "in", "investment", "in", "partnerships" ]	[ "O", "O", "O", "O", "B-location_outside_name", "O", "O", "B-numeric", "I-numeric", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name" ]	[ "O", "O", "O", "O", "B-location_outside_name", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name" ]	wm_stock_metrics	which institutions outside of Andorra have over 51 % in investment in partnerships
115	n/a	[ "what", "are", "the", "top", "4", "information", "techonology", "companies", "in", "terms", "of", "overall", "number", "of", "voip", "lines", "." ]	[ "O", "O", "O", "O", "O", "B-sector_name", "I-sector_name", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O" ]	[ "O", "O", "O", "B-rank", "I-rank", "B-sector_name", "I-sector_name", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "I-location_outside_name", "O" ]	wm_stock_metrics	what are the top 4 information techonology companies in terms of overall number of voip lines .
116	n/a	[ "how", "many", "Finland", "companies", "are", "in", "it" ]	[ "O", "O", "B-location_inside_name", "O", "O", "O", "B-sector_name" ]	[ "B-target_metric_name", "I-target_metric_name", "B-location_inside_name", "B-sector_name", "O", "O", "O" ]	wm_stock_metrics	how many Finland companies are in it
117	n/a	[ "where", "can", "i", "find", "statistics", "on", "FFO", "and", "PB", "during", "q3", "2019", "for", "all", "clean", "energy", "companies", "located", "in", "Taiwan", "?" ]	[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "O", "B-target_metric_name", "O", "B-date_metric", "I-date_metric", "O", "O", "B-sector_name", "I-sector_name", "O", "O", "O", "B-location_inside_name", "O" ]	[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "O", "B-target_metric_name", "O", "B-date_metric", "I-date_metric", "O", "O", "O", "B-sector_name", "O", "O", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	where can i find statistics on FFO and PB during q3 2019 for all clean energy companies located in Taiwan ?
118	n/a	[ "what", "companies", "are", "in", "utilities", "and", "in", "Japan" ]	[ "O", "O", "O", "O", "B-sector_name", "O", "O", "B-location_inside_name" ]	[ "O", "O", "O", "O", "B-sector_name", "O", "O", "B-location_inside_name" ]	wm_stock_metrics	what companies are in utilities and in Japan
119	n/a	[ "how", "many", "telecom", "companies", "are", "above", "$", "2", "billion", "in", "a", "&", "h", "premiums", "?" ]	[ "O", "O", "B-sector_name", "O", "O", "O", "O", "B-numeric", "I-numeric", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O" ]	[ "O", "O", "B-sector_name", "O", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "I-numeric_above_name", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O" ]	wm_stock_metrics	how many telecom companies are above $ 2 billion in a & h premiums ?
120	n/a	[ "what", "is", "the", "common", "shares", "outstanding", "of", "the", "top", "ten", "finance", "companies", "in", "the", "Guatemala", "?" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "B-location_inside_name", "O" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "O", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	what is the common shares outstanding of the top ten finance companies in the Guatemala ?
121	n/a	[ "i", "want", "the", "forward", "p/e", "of", "companies", "with", "a", "tev", "over", "$", "343", "billion", "." ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "O", "O", "B-numeric", "I-numeric", "O" ]	[ "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "B-target_metric_name", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "O" ]	wm_stock_metrics	i want the forward p/e of companies with a tev over $ 343 billion .
122	n/a	[ "tell", "me", "about", "the", "levered", "fcf", "growth", "of", "the", "top", "five", "companies", "in", "Qatar", "." ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]	[ "O", "O", "O", "O", "B-filter_metric_name", "O", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O" ]	wm_stock_metrics	tell me about the levered fcf growth of the top five companies in Qatar .
123	n/a	[ "tell", "me", "the", "ffo", "/", "total", "revenue", "for", "the", "top", "31", "communications", "companies", "in", "Qatar", "." ]	[ "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", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "B-rank", "I-rank", "O", "O", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	tell me the ffo / total revenue for the top 31 communications companies in Qatar .
124	n/a	[ "give", "me", "the", "savings", "accounts", "of", "a", "list", "of", "the", "top", "paper", "packaging", "firms", "with", "a", "shares", "outstanding", "lower", "than", "3.3", "%", "." ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "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", "B-target_metric_name", "I-target_metric_name", "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_below_name", "O", "O" ]	wm_stock_metrics	give me the savings accounts of a list of the top paper packaging firms with a shares outstanding lower than 3.3 % .
125	n/a	[ "show", "me", "the", "number", "of", "temporary", "employee", "of", "companies", "in", "america", "." ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-location_inside_name", "O" ]	[ "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	show me the number of temporary employee of companies in america .
126	n/a	[ "how", "many", "companies", "have", "a", "DPS", "above", "10", "million", "in", "the", "metal", "packaging", "field", "?" ]	[ "O", "O", "O", "O", "O", "B-filter_metric_name", "O", "B-numeric", "I-numeric", "O", "O", "B-sector_name", "I-sector_name", "O", "O" ]	[ "O", "O", "O", "O", "O", "B-target_metric_name", "O", "B-numeric_above_name", "I-numeric_above_name", "O", "O", "B-sector_name", "I-sector_name", "O", "O" ]	wm_stock_metrics	how many companies have a DPS above 10 million in the metal packaging field ?
127	n/a	[ "tell", "me", "about", "the", "a", "&", "h", "premiums", "of", "the", "top", "five", "companies", "outside", "of", "the", "Switzerland", "." ]	[ "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", "O", "O", "B-location_outside_name", "O" ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-rank", "I-rank", "O", "O", "O", "O", "B-location_outside_name", "O" ]	wm_stock_metrics	tell me about the a & h premiums of the top five companies outside of the Switzerland .
128	n/a	[ "tell", "me", "the", "3q", "2015", "price", "earnings", "ratio", "information", "of", "companies", "with", "a", "filing", "currency", "under", "413", "billion", "." ]	[ "O", "O", "O", "B-date_metric", "I-date_metric", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "I-numeric", "O" ]	[ "O", "O", "O", "O", "B-date_metric", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "O", "B-numeric_above_name", "O", "O" ]	wm_stock_metrics	tell me the 3q 2015 price earnings ratio information of companies with a filing currency under 413 billion .
129	n/a	[ "how", "many", "discretionary", "companies", "are", "above", "$", "1", "billion", "in", "PB", "ratio", "in", "FY2018", "?" ]	[ "O", "O", "B-sector_name", "O", "O", "O", "O", "B-numeric", "I-numeric", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-date_metric", "O" ]	[ "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "I-numeric_above_name", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-date_metric", "O" ]	wm_stock_metrics	how many discretionary companies are above $ 1 billion in PB ratio in FY2018 ?
130	n/a	[ "please", "give", "me", "revaluations", "of", "investment", "properties", "information", "of", "the", "top", "five", "companies", "outside", "of", "the", "Egypt", "." ]	[ "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", "O", "B-location_outside_name", "O" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-rank", "O", "O", "O", "O", "B-location_outside_name", "O" ]	wm_stock_metrics	please give me revaluations of investment properties information of the top five companies outside of the Egypt .
131	n/a	[ "which", "institutions", "outside", "of", "Antarctica", "have", "over", "8x", "in", "market", "cap" ]	[ "O", "O", "O", "O", "B-location_outside_name", "O", "O", "B-numeric", "O", "B-filter_metric_name", "I-filter_metric_name" ]	[ "O", "O", "O", "O", "B-target_metric_name", "O", "O", "B-numeric_above_name", "O", "B-target_metric_name", "I-target_metric_name" ]	wm_stock_metrics	which institutions outside of Antarctica have over 8x in market cap
132	n/a	[ "what", "is", "the", "usual", "CQ3", "revenue", "of", "companies", "with", "a", "p/e", "ratios", "under", "$", "4", "million", "?" ]	[ "O", "O", "O", "O", "B-date_metric", "B-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric", "I-numeric", "O" ]	[ "O", "O", "O", "O", "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" ]	wm_stock_metrics	what is the usual CQ3 revenue of companies with a p/e ratios under $ 4 million ?
133	n/a	[ "where", "can", "i", "see", "a", "list", "of", "all", "the", "Michigan", "gas", "companies", "and", "their", "2018", "q2", "net", "financing", "costs", "and", "ptbv", "data", "?" ]	[ "O", "O", "O", "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", "O", "B-target_metric_name", "O", "O" ]	[ "O", "O", "O", "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", "O", "B-target_metric_name", "I-target_metric_name", "O" ]	wm_stock_metrics	where can i see a list of all the Michigan gas companies and their 2018 q2 net financing costs and ptbv data ?
134	n/a	[ "get", "the", "latest", "shares", "outstanding", "of", "the", "top", "2", "companies", "not", "in", "united", "kingdom", "for", "me", "." ]	[ "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", "O", "O" ]	[ "O", "O", "O", "B-filter_metric_name", "O", "O", "O", "O", "B-rank", "O", "O", "O", "B-location_outside_name", "I-location_outside_name", "O", "O", "O" ]	wm_stock_metrics	get the latest shares outstanding of the top 2 companies not in united kingdom for me .
135	n/a	[ "what", "companies", "are", "at", "the", "top", "for", "ebidtass", "in", "the", "communication", "industry", "?" ]	[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "O", "O", "B-sector_name", "O", "O" ]	[ "O", "O", "O", "O", "O", "B-rank", "O", "B-filter_metric_name", "O", "O", "B-sector_name", "O", "O" ]	wm_stock_metrics	what companies are at the top for ebidtass in the communication industry ?
136	n/a	[ "show", "me", "the", "equalization", "reserves", "of", "the", "top", "21", "companies", "not", "in", "north", "america", "." ]	[ "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", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O" ]	wm_stock_metrics	show me the equalization reserves of the top 21 companies not in north america .
137	n/a	[ "show", "me", "the", "companies", "based", "in", "Taiwan", "with", "a", "levered", "fcf", "growth", "above", "1", "billion", "dollars" ]	[ "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", "O", "B-location_inside_name", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "B-numeric_above_name", "O", "O" ]	wm_stock_metrics	show me the companies based in Taiwan with a levered fcf growth above 1 billion dollars
138	n/a	[ "i", "would", "like", "the", "earning", "per", "share", "of", "companies", "with", "a", "ltm", "closing", "price", "under", "$", "33", "billion", "." ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-date_metric", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric", "I-numeric", "O" ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_below_name", "I-numeric_below_name", "I-numeric_below_name", "O" ]	wm_stock_metrics	i would like the earning per share of companies with a ltm closing price under $ 33 billion .
139	n/a	[ "i", "want", "the", "price", "to", "book", "ratio", "of", "companies", "with", "a", "ebt/equity", "over", "3.12", "%", "." ]	[ "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", "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", "B-filter_metric_name", "O", "B-numeric_above_name", "I-numeric_above_name", "O" ]	wm_stock_metrics	i want the price to book ratio of companies with a ebt/equity over 3.12 % .
140	n/a	[ "can", "you", "obtain", "the", "foreign", "deposits", "of", "the", "top", "2", "companies", "in", "Estonia", "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 foreign deposits of the top 2 companies in Estonia for me ?
141	n/a	[ "what", "are", "the", "top", "communication", "companies", "'", "tev/ebit", "with", "a", "share", "in", "current", "taxes", "over", "4", "billion", "?" ]	[ "O", "O", "O", "O", "B-sector_name", "O", "O", "B-target_metric_name", "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", "O", "B-sector_name", "O", "O", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "O", "B-numeric_above_name", "I-numeric_above_name", "O" ]	wm_stock_metrics	what are the top communication companies ' tev/ebit with a share in current taxes over 4 billion ?
142	n/a	[ "within", "the", "canada", ",", "what", "is", "the", "unrecognized", "nonpension", "actuarial", "loss", "of", "the", "top", "finance", "companies", "?" ]	[ "O", "O", "B-location_inside_name", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-sector_name", "O", "O" ]	[ "O", "O", "B-location_inside_name", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-sector_name", "O", "O" ]	wm_stock_metrics	within the canada , what is the unrecognized nonpension actuarial loss of the top finance companies ?
143	n/a	[ "show", "me", "where", "i", "can", "get", "the", "total", "assets", "for", "the", "top", "three", "financial", "companies", "." ]	[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-sector_name", "O", "O" ]	[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "B-sector_name", "O", "O" ]	wm_stock_metrics	show me where i can get the total assets for the top three financial companies .
144	n/a	[ "show", "me", "top", "non", "us", "reits" ]	[ "O", "O", "O", "O", "B-location_outside_name", "B-sector_name" ]	[ "O", "O", "O", "B-sector_name", "I-sector_name", "I-sector_name" ]	wm_stock_metrics	show me top non us reits
145	n/a	[ "short", "term", "liabilities", "paid", "for", "the", "companies", "in", "india" ]	[ "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "B-location_inside_name" ]	[ "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-location_inside_name" ]	wm_stock_metrics	short term liabilities paid for the companies in india
146	n/a	[ "what", "is", "the", "top", "comm", "company", "with", "a", "intangible", "assets", "more", "than", "342", "billion", "dollars", "?" ]	[ "O", "O", "O", "O", "B-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", "O", "O", "O", "B-sector_name", "O", "O", "B-numeric_above_name", "B-filter_metric_name", "O", "O" ]	wm_stock_metrics	what is the top comm company with a intangible assets more than 342 billion dollars ?
147	n/a	[ "tell", "me", "the", "commercial", "lns", "coverage", "ratio", "of", "the", "top", "2", "companies", "in", "Kuwait", "." ]	[ "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", "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" ]	wm_stock_metrics	tell me the commercial lns coverage ratio of the top 2 companies in Kuwait .
148	n/a	[ "will", "you", "look", "up", "the", "PTB", "value", "of", "the", "top", "41", "companies", "in", "germany", "?" ]	[ "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-filter_metric_name", "O", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	will you look up the PTB value of the top 41 companies in germany ?
149	n/a	[ "can", "you", "obtain", "the", "vnasdn", "of", "the", "top", "4", "companies", "outside", "of", "Colombia", "?" ]	[ "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O" ]	[ "O", "O", "O", "O", "B-target_metric_name", "O", "O", "B-rank", "I-rank", "O", "O", "O", "B-location_outside_name", "O" ]	wm_stock_metrics	can you obtain the vnasdn of the top 4 companies outside of Colombia ?
150	n/a	[ "i", "want", "to", "know", "how", "many", "companies", "currently", "have", "a", "net", "income", "below", "66x" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "B-numeric_below_name" ]	wm_stock_metrics	i want to know how many companies currently have a net income below 66x
151	n/a	[ "give", "me", "the", "q2", "2017", "tr", "and", "earning", "per", "share", "for", "all", "Belarus", "oil", "companies", "." ]	[ "O", "O", "O", "B-date_metric", "I-date_metric", "B-target_metric_name", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-location_inside_name", "B-sector_name", "O", "O" ]	[ "O", "O", "O", "B-date_metric", "I-date_metric", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-location_inside_name", "B-sector_name", "O", "O" ]	wm_stock_metrics	give me the q2 2017 tr and earning per share for all Belarus oil companies .
152	n/a	[ "show", "me", "companies", "outside", "of", "canada", "with", "an", "long-term", "senior", "notes/", "debt", "greater", "than", "2", "billion" ]	[ "O", "O", "O", "O", "O", "B-location_outside_name", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric", "I-numeric" ]	[ "O", "O", "O", "O", "O", "B-location_outside_name", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-numeric_above_name", "I-numeric_above_name" ]	wm_stock_metrics	show me companies outside of canada with an long-term senior notes/ debt greater than 2 billion
153	n/a	[ "will", "you", "look", "up", "the", "expense", "of", "the", "top", "41", "companies", "in", "Tunisia", "?" ]	[ "O", "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "B-rank", "I-rank", "O", "B-location_inside_name", "I-location_inside_name", "O" ]	wm_stock_metrics	will you look up the expense of the top 41 companies in Tunisia ?
154	n/a	[ "tell", "me", "about", "the", "net", "income", "of", "the", "top", "five", "companies", "outside", "of", "the", "Chile", "." ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O" ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "O", "O", "B-location_outside_name", "O" ]	wm_stock_metrics	tell me about the net income of the top five companies outside of the Chile .
155	n/a	[ "where", "can", "i", "look", "to", "find", "the", "sales", "for", "the", "top", "energy", "traders", "companies", "?" ]	[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "O", "O", "O", "B-sector_name", "I-sector_name", "O", "O" ]	[ "O", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "O", "O", "O", "B-sector_name", "I-sector_name", "O", "O" ]	wm_stock_metrics	where can i look to find the sales for the top energy traders companies ?
156	n/a	[ "please", "give", "me", "electricity", "delivered", "information", "of", "the", "top", "five", "companies", "in", "america", "." ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O" ]	wm_stock_metrics	please give me electricity delivered information of the top five companies in america .
157	n/a	[ "which", "companies", "have", "a", "retail", "revenues", "value", "greater", "than", "31", "million", "dollars" ]	[ "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-numeric", "I-numeric", "O" ]	[ "O", "O", "O", "O", "B-sector_name", "B-filter_metric_name", "O", "O", "O", "B-numeric_above_name", "O", "O" ]	wm_stock_metrics	which companies have a retail revenues value greater than 31 million dollars
158	n/a	[ "what", "is", "the", "average", "fq2019", "same", "store", "sales", "growth", "of", "companies", "which", "have", "a", "firm", "value", "below", "3", "?" ]	[ "O", "O", "O", "O", "B-date_metric", "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", "O" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-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_below_name", "O" ]	wm_stock_metrics	what is the average fq2019 same store sales growth of companies which have a firm value below 3 ?
159	n/a	[ "tell", "me", "the", "treasury", "stock", "of", "the", "top", "companies", "not", "in", "alaska" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_outside_name" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_outside_name" ]	wm_stock_metrics	tell me the treasury stock of the top companies not in alaska
160	n/a	[ "will", "you", "obtain", "the", "net", "tech", "provision", "liability", "of", "the", "top", "421", "companies", "in", "Aruba", "for", "me", "?" ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O", "O", "O" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O", "O", "O" ]	wm_stock_metrics	will you obtain the net tech provision liability of the top 421 companies in Aruba for me ?
161	n/a	[ "i", "would", "like", "to", "know", "the", "services", "loans/", "loans", "of", "the", "top", "2", "companies", "in", "japan", "." ]	[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]	[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	i would like to know the services loans/ loans of the top 2 companies in japan .
162	n/a	[ "what", "is", "the", "FY2016", "filing", "date", "for", "each", "health", "care", "company", "with", "a", "market", "capitalization", "under", "4.3", "%", "?" ]	[ "O", "O", "O", "B-date_metric", "B-target_metric_name", "I-target_metric_name", "O", "O", "B-sector_name", "I-sector_name", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "I-numeric", "O" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]	wm_stock_metrics	what is the FY2016 filing date for each health care company with a market capitalization under 4.3 % ?
163	n/a	[ "need", "to", "research", "the", "total", "market", "cap", "of", "companies", "with", "a", "corporate", "non-time", "deposits", "above", "4.4x" ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric" ]	[ "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "O", "O", "O", "O", "O", "B-numeric_above_name" ]	wm_stock_metrics	need to research the total market cap of companies with a corporate non-time deposits above 4.4x
164	n/a	[ "please", "get", "me", "the", "loan", "charges/", "total", "revenues", "of", "the", "top", "4", "companies", "in", "IL" ]	[ "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", "B-target_metric_name", "I-target_metric_name", "B-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name" ]	wm_stock_metrics	please get me the loan charges/ total revenues of the top 4 companies in IL
165	n/a	[ "what", "is", "the", "top", "grocery", "company", "with", "a", "price/", "earnings", "after", "extra", "greater", "than", "4.4x", "?" ]	[ "O", "O", "O", "O", "B-sector_name", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "B-numeric", "O" ]	[ "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-numeric_above_name", "O" ]	wm_stock_metrics	what is the top grocery company with a price/ earnings after extra greater than 4.4x ?
166	n/a	[ "get", "me", "the", "bonds", "payable", "of", "the", "top", "2", "companies", "in", "Turkey", "." ]	[ "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 bonds payable of the top 2 companies in Turkey .
167	n/a	[ "what", "is", "the", "usual", "CQ", "2017", "close", "price", "of", "companies", "with", "a", "p/e", "ratios", "under", "44", "?" ]	[ "O", "O", "O", "O", "B-date_metric", "I-date_metric", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "O" ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric_below_name", "O" ]	wm_stock_metrics	what is the usual CQ 2017 close price of companies with a p/e ratios under 44 ?
168	n/a	[ "for", "all", "the", "companies", "in", "Iceland", ",", "what", "is", "the", "q1", "2016", "earning", "and", "treasury", "stock", "?" ]	[ "O", "O", "O", "O", "O", "B-location_inside_name", "O", "O", "O", "O", "B-date_metric", "I-date_metric", "B-target_metric_name", "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-date_metric", "O", "O", "O", "O", "O" ]	wm_stock_metrics	for all the companies in Iceland , what is the q1 2016 earning and treasury stock ?
169	n/a	[ "which", "companies", "in", "the", "metal", "containers", "sector", "have", "a", "asset", "values", "less", "than", "1", "billion", "for", "3Q", "2016", "?" ]	[ "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", "B-date_metric", "I-date_metric", "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", "O", "O", "B-date_metric", "I-date_metric", "O" ]	wm_stock_metrics	which companies in the metal containers sector have a asset values less than 1 billion for 3Q 2016 ?
170	n/a	[ "give", "me", "the", "investment", "properties", "of", "the", "top", "31", "companies", "not", "from", "European", "Union", "." ]	[ "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", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "O", "B-location_outside_name", "I-location_outside_name", "O" ]	wm_stock_metrics	give me the investment properties of the top 31 companies not from European Union .
171	n/a	[ "i", "'d", "like", "to", "know", "the", "country", "of", "incorporation", "code", "of", "the", "top", "9", "companies", "in", "the", "Bosnia", "." ]	[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-rank", "O", "O", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	i 'd like to know the country of incorporation code of the top 9 companies in the Bosnia .
172	n/a	[ "what", "institutions", "are", "in", "Oman", "and", "in", "renewable", "energy" ]	[ "O", "O", "O", "O", "B-location_inside_name", "O", "O", "B-sector_name", "I-sector_name" ]	[ "O", "O", "O", "O", "B-location_inside_name", "O", "O", "B-sector_name", "I-sector_name" ]	wm_stock_metrics	what institutions are in Oman and in renewable energy
173	n/a	[ "will", "you", "obtain", "the", "capex", "of", "the", "top", "224", "companies", "in", "us", "for", "me", "?" ]	[ "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", "B-numeric_above_name", "O", "O", "B-location_inside_name", "O", "O", "O" ]	wm_stock_metrics	will you obtain the capex of the top 224 companies in us for me ?
174	n/a	[ "can", "you", "provide", "net", "stable", "funding", "ratio", "information", "for", "the", "top", "technology", "companies", "?" ]	[ "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", "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" ]	wm_stock_metrics	can you provide net stable funding ratio information for the top technology companies ?
175	n/a	[ "what", "is", "the", "2018", "income", "statement", "of", "the", "top", "united", "kingdom", "company", "with", "a", "market", "caps", "over", "32", "%", "?" ]	[ "O", "O", "O", "B-date_metric", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-location_inside_name", "I-location_inside_name", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "I-numeric", "O" ]	[ "O", "O", "O", "B-date_metric", "O", "O", "O", "O", "O", "B-location_outside_name", "I-location_outside_name", "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "O", "O" ]	wm_stock_metrics	what is the 2018 income statement of the top united kingdom company with a market caps over 32 % ?
176	n/a	[ "what", "is", "the", "commercial", "paper/", "debt", "of", "each", "of", "the", "top", "ten", "companies", "in", "the", "Cape", "Verde", "?" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "I-location_inside_name", "O" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "B-rank", "O", "O", "O", "B-location_inside_name", "I-location_inside_name", "O" ]	wm_stock_metrics	what is the commercial paper/ debt of each of the top ten companies in the Cape Verde ?
177	n/a	[ "get", "the", "earnings", "before", "tax", "of", "the", "top", "2", "companies", "not", "in", "united", "states", "and", "canada", "for", "me", "." ]	[ "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" ]	[ "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "O", "B-location_outside_name", "I-location_outside_name", "O", "B-location_outside_name", "O", "O", "O" ]	wm_stock_metrics	get the earnings before tax of the top 2 companies not in united states and canada for me .
178	n/a	[ "i", "am", "needing", "you", "to", "get", "me", "price", "earnings", "ratio", "of", "the", "top", "2", "companies", "in", "Asia-Pacific", "." ]	[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]	[ "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	i am needing you to get me price earnings ratio of the top 2 companies in Asia-Pacific .
179	n/a	[ "how", "can", "i", "see", "capex", "for", "it", "companies", "?" ]	[ "O", "O", "O", "O", "B-target_metric_name", "O", "B-sector_name", "O", "O" ]	[ "O", "O", "O", "O", "B-target_metric_name", "O", "B-sector_name", "O", "O" ]	wm_stock_metrics	how can i see capex for it companies ?
180	n/a	[ "tell", "me", "the", "foreign", "deposits", "of", "the", "top", "five", "companies", "in", "Papua", "New", "Guinea", "." ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "I-location_inside_name", "I-location_inside_name", "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" ]	wm_stock_metrics	tell me the foreign deposits of the top five companies in Papua New Guinea .
181	n/a	[ "What", "are", "the", "companies", "with", "over", "22x", "in", "P/B", "ratio" ]	[ "O", "O", "O", "O", "O", "O", "B-numeric", "O", "B-filter_metric_name", "I-filter_metric_name" ]	[ "O", "O", "O", "O", "O", "O", "B-numeric_above_name", "O", "B-target_metric_name", "I-target_metric_name" ]	wm_stock_metrics	What are the companies with over 22x in P/B ratio
182	n/a	[ "what", "are", "the", "long-term", "business", "operating", "profit", "of", "the", "top", "americas", "companies", "with", "return", "on", "equity", "under", "411", "million", "dollars", "?" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-location_inside_name", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "I-numeric", "O", "O" ]	[ "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric_below_name", "O", "O", "O" ]	wm_stock_metrics	what are the long-term business operating profit of the top americas companies with return on equity under 411 million dollars ?
183	n/a	[ "i", "need", "foreign", "deposits", "information", "on", "top", "companies", "in", "Kazakhstan", "." ]	[ "O", "O", "B-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", "B-location_inside_name", "O" ]	wm_stock_metrics	i need foreign deposits information on top companies in Kazakhstan .
184	n/a	[ "can", "you", "obtain", "the", "net", "mortgage", "servicing", "income", "of", "the", "top", "2", "companies", "outside", "of", "China", "?" ]	[ "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", "O", "B-location_outside_name", "O" ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "B-rank", "I-rank", "O", "O", "O", "O", "O" ]	wm_stock_metrics	can you obtain the net mortgage servicing income of the top 2 companies outside of China ?
185	n/a	[ "which", "institutions", "outside", "of", "Indonesia", "have", "over", "59", "thousand", "dollars", "in", "r", "&", "d" ]	[ "O", "O", "O", "O", "B-location_outside_name", "O", "O", "B-numeric", "I-numeric", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name" ]	[ "O", "O", "O", "O", "B-location_outside_name", "O", "O", "B-numeric_above_name", "I-numeric_above_name", "I-numeric_above_name", "O", "B-numeric_below_name", "I-numeric_below_name", "I-numeric_below_name" ]	wm_stock_metrics	which institutions outside of Indonesia have over 59 thousand dollars in r & d
186	n/a	[ "can", "you", "obtain", "the", "mkt", "cap", "of", "the", "top", "4", "companies", "outside", "of", "Abu", "Dhabi", "?" ]	[ "O", "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", "O", "O", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "O", "B-location_outside_name", "I-location_outside_name", "O" ]	wm_stock_metrics	can you obtain the mkt cap of the top 4 companies outside of Abu Dhabi ?
187	n/a	[ "i", "would", "like", "to", "know", "the", "TEV", "of", "the", "top", "4", "companies", "in", "Ecuador", "." ]	[ "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", "B-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	i would like to know the TEV of the top 4 companies in Ecuador .
188	n/a	[ "will", "you", "tell", "me", "the", "change", "in", "def", "taxes", "of", "the", "top", "2", "companies", "in", "Slovakia", "?" ]	[ "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", "B-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	will you tell me the change in def taxes of the top 2 companies in Slovakia ?
189	n/a	[ "will", "you", "show", "me", "deal", "value", "info", "for", "the", "top", "consumer", "staples", "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", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-sector_name", "I-sector_name", "O", "O" ]	wm_stock_metrics	will you show me deal value info for the top consumer staples companies ?
190	n/a	[ "what", "information", "is", "available", "on", "the", "number", "of", "shares", "of", "companies", "with", "a", "enterprise", "value", "to", "revenue", "over", "$", "2", "million", "?" ]	[ "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", "I-filter_metric_name", "O", "O", "B-numeric", "I-numeric", "O" ]	[ "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-filter_metric_name", "I-filter_metric_name", "O" ]	wm_stock_metrics	what information is available on the number of shares of companies with a enterprise value to revenue over $ 2 million ?
191	n/a	[ "what", "telecom", "sector", "companies", "made", "the", "top", "ten", "list", "for", "retail", "personal", "time", "deposits", "?" ]	[ "O", "B-sector_name", "O", "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O" ]	[ "O", "O", "O", "O", "O", "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", "I-target_metric_name", "O" ]	wm_stock_metrics	what telecom sector companies made the top ten list for retail personal time deposits ?
192	n/a	[ "i", "am", "needing", "the", "ebitda", "per", "share", "of", "the", "top", "21", "companies", "in", "europe", "." ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]	[ "O", "O", "O", "O", "B-target_metric_name", "O", "B-filter_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	i am needing the ebitda per share of the top 21 companies in europe .
193	n/a	[ "what", "is", "the", "median", "mortality", "or", "morbidity", "decrease", "for", "tech", "companies" ]	[ "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" ]	[ "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "O", "B-filter_metric_name", "B-target_metric_name", "O", "B-sector_name", "I-sector_name" ]	wm_stock_metrics	what is the median mortality or morbidity decrease for tech companies
194	n/a	[ "show", "me", "the", "bonds", "payable", "of", "the", "top", "4", "companies", "in", "Angola", "." ]	[ "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-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "O" ]	wm_stock_metrics	show me the bonds payable of the top 4 companies in Angola .
195	n/a	[ "tell", "me", "the", "ipo", "of", "the", "top", "23", "companies", "that", "are", "not", "located", "in", "Latvia", "." ]	[ "O", "O", "O", "B-target_metric_name", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O" ]	[ "O", "O", "O", "B-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "O", "O", "O", "O", "B-location_outside_name", "O" ]	wm_stock_metrics	tell me the ipo of the top 23 companies that are not located in Latvia .
196	n/a	[ "i", "am", "needing", "the", "stock", "price", "growth", "of", "the", "top", "31", "companies", "in", "united", "states", "of", "america", "." ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "I-location_inside_name", "I-location_inside_name", "I-location_inside_name", "O" ]	[ "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-rank", "O", "O", "B-location_inside_name", "I-location_inside_name", "I-location_inside_name", "I-location_inside_name", "O" ]	wm_stock_metrics	i am needing the stock price growth of the top 31 companies in united states of america .
197	n/a	[ "tell", "me", "the", "total", "debt/", "tangible", "equity", "of", "the", "top", "companies", "in", "the", "Cape", "Verde", "." ]	[ "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", "O" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-location_inside_name", "I-location_inside_name", "O" ]	wm_stock_metrics	tell me the total debt/ tangible equity of the top companies in the Cape Verde .
198	n/a	[ "give", "me", "more", "information", "on", "the", "top", "twenty", "companies", "with", "dividends", "per", "share", "that", "have", "a", "revaluation", "of", "non-trading", "properties", "over", "3", "million", "." ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric", "I-numeric", "O" ]	[ "O", "O", "O", "O", "O", "O", "O", "B-rank", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "O", "O", "B-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "I-filter_metric_name", "O", "B-numeric_above_name", "I-numeric_above_name", "O" ]	wm_stock_metrics	give me more information on the top twenty companies with dividends per share that have a revaluation of non-trading properties over 3 million .
199	n/a	[ "how", "many", "companies", "have", "a", "foreign", "deposits", "above", "86", "%" ]	[ "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", "B-numeric_above_name", "O" ]	wm_stock_metrics	how many companies have a foreign deposits above 86 %

100

n/a

[ "who", "are", "the", "largest", "companies", "focused", "on", "utilities", "with", "a", "ebitdas", "under", "$", "31", "billion", "?" ]

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

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

wm_stock_metrics

who are the largest companies focused on utilities with a ebitdas under $ 31 billion ?

101

n/a

[ "i", "am", "needing", "the", "securities", "available", "for", "sale", "of", "the", "top", "21", "companies", "in", "Botswana", "." ]

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

wm_stock_metrics

i am needing the securities available for sale of the top 21 companies in Botswana .

102

n/a

[ "please", "get", "me", "the", "total", "values", "of", "the", "top", "4", "companies", "in", "Curacao", "." ]

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

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

wm_stock_metrics

please get me the total values of the top 4 companies in Curacao .

103

n/a

[ "show", "me", "IT", "companies", "in", "the", "united", "states", "with", "a", "long", "term", "investments", "above", "3", "billion", "dollars" ]

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

wm_stock_metrics

show me IT companies in the united states with a long term investments above 3 billion dollars

104

n/a

[ "find", "every", "company", "with", "an", "share", "in", "current", "taxes", "under", "84.0", "%", "and", "then", "show", "me", "their", "2016", "q3", "shares", "authorized", "." ]

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

wm_stock_metrics

find every company with an share in current taxes under 84.0 % and then show me their 2016 q3 shares authorized .

105

n/a

[ "I", "want", "to", "know", "how", "many", "companies", "have", "a", "forward", "price-earnings", "value", "of", "less", "than", "100", "thousand", "that", "also", "is", "in", "information", "technology" ]

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

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

wm_stock_metrics

I want to know how many companies have a forward price-earnings value of less than 100 thousand that also is in information technology

106

n/a

[ "can", "you", "provide", "same", "store", "sales", "growth", "information", "for", "the", "top", "capital", "goods", "companies", "?" ]

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

wm_stock_metrics

can you provide same store sales growth information for the top capital goods companies ?

107

n/a

[ "tell", "me", "the", "filing", "currency", "of", "the", "top", "3", "companies", "in", "china", "." ]

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

wm_stock_metrics

tell me the filing currency of the top 3 companies in china .

108

n/a

[ "show", "me", "the", "market", "share", "for", "the", "top", "companies", "outside", "the", "Norway" ]

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

wm_stock_metrics

show me the market share for the top companies outside the Norway

109

n/a

[ "tell", "me", "the", "net", "loan", "of", "the", "top", "companies", "not", "in", "Ras", "Al", "Khaimah", "." ]

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

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

wm_stock_metrics

tell me the net loan of the top companies not in Ras Al Khaimah .

110

n/a

[ "will", "you", "tell", "me", "about", "the", "top", "eight", "companies", "with", "PB", "that", "have", "a", "development", "land", "over", "434", "billion", "?" ]

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

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

wm_stock_metrics

will you tell me about the top eight companies with PB that have a development land over 434 billion ?

111

n/a

[ "i", "would", "like", "information", "about", "the", "shares", "authorized", "and", "2017", "q4", "total", "dividend", "paid", "of", "companies", "in", "South", "Korea", "." ]

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

wm_stock_metrics

i would like information about the shares authorized and 2017 q4 total dividend paid of companies in South Korea .

112

n/a

[ "show", "me", "where", "i", "can", "get", "the", "franchise", "properties", "revpar", "for", "the", "top", "three", "finance", "sector", "companies", "." ]

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

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

wm_stock_metrics

show me where i can get the franchise properties revpar for the top three finance sector companies .

113

n/a

[ "give", "me", "information", "on", "firm", "values", "of", "companies", "with", "a", "DPS", "over", "4", "billion", "." ]

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

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

wm_stock_metrics

give me information on firm values of companies with a DPS over 4 billion .

114

n/a

[ "which", "institutions", "outside", "of", "Andorra", "have", "over", "51", "%", "in", "investment", "in", "partnerships" ]

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

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

wm_stock_metrics

which institutions outside of Andorra have over 51 % in investment in partnerships

115

n/a

[ "what", "are", "the", "top", "4", "information", "techonology", "companies", "in", "terms", "of", "overall", "number", "of", "voip", "lines", "." ]

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

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

wm_stock_metrics

what are the top 4 information techonology companies in terms of overall number of voip lines .

116

n/a

[ "how", "many", "Finland", "companies", "are", "in", "it" ]

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

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

wm_stock_metrics

how many Finland companies are in it

117

n/a

[ "where", "can", "i", "find", "statistics", "on", "FFO", "and", "PB", "during", "q3", "2019", "for", "all", "clean", "energy", "companies", "located", "in", "Taiwan", "?" ]

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

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

wm_stock_metrics

where can i find statistics on FFO and PB during q3 2019 for all clean energy companies located in Taiwan ?

118

n/a

[ "what", "companies", "are", "in", "utilities", "and", "in", "Japan" ]

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

wm_stock_metrics

what companies are in utilities and in Japan

119

n/a

[ "how", "many", "telecom", "companies", "are", "above", "$", "2", "billion", "in", "a", "&", "h", "premiums", "?" ]

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

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

wm_stock_metrics

how many telecom companies are above $ 2 billion in a & h premiums ?

120

n/a

[ "what", "is", "the", "common", "shares", "outstanding", "of", "the", "top", "ten", "finance", "companies", "in", "the", "Guatemala", "?" ]

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

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

wm_stock_metrics

what is the common shares outstanding of the top ten finance companies in the Guatemala ?

121

n/a

[ "i", "want", "the", "forward", "p/e", "of", "companies", "with", "a", "tev", "over", "$", "343", "billion", "." ]

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

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

wm_stock_metrics

i want the forward p/e of companies with a tev over $ 343 billion .

122

n/a

[ "tell", "me", "about", "the", "levered", "fcf", "growth", "of", "the", "top", "five", "companies", "in", "Qatar", "." ]

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

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

wm_stock_metrics

tell me about the levered fcf growth of the top five companies in Qatar .

123

n/a

[ "tell", "me", "the", "ffo", "/", "total", "revenue", "for", "the", "top", "31", "communications", "companies", "in", "Qatar", "." ]

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

wm_stock_metrics

tell me the ffo / total revenue for the top 31 communications companies in Qatar .

124

n/a

[ "give", "me", "the", "savings", "accounts", "of", "a", "list", "of", "the", "top", "paper", "packaging", "firms", "with", "a", "shares", "outstanding", "lower", "than", "3.3", "%", "." ]

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

wm_stock_metrics

give me the savings accounts of a list of the top paper packaging firms with a shares outstanding lower than 3.3 % .

125

n/a

[ "show", "me", "the", "number", "of", "temporary", "employee", "of", "companies", "in", "america", "." ]

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

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

wm_stock_metrics

show me the number of temporary employee of companies in america .

126

n/a

[ "how", "many", "companies", "have", "a", "DPS", "above", "10", "million", "in", "the", "metal", "packaging", "field", "?" ]

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

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

wm_stock_metrics

how many companies have a DPS above 10 million in the metal packaging field ?

127

n/a

[ "tell", "me", "about", "the", "a", "&", "h", "premiums", "of", "the", "top", "five", "companies", "outside", "of", "the", "Switzerland", "." ]

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

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

wm_stock_metrics

tell me about the a & h premiums of the top five companies outside of the Switzerland .

128

n/a

[ "tell", "me", "the", "3q", "2015", "price", "earnings", "ratio", "information", "of", "companies", "with", "a", "filing", "currency", "under", "413", "billion", "." ]

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

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

wm_stock_metrics

tell me the 3q 2015 price earnings ratio information of companies with a filing currency under 413 billion .

129

n/a

[ "how", "many", "discretionary", "companies", "are", "above", "$", "1", "billion", "in", "PB", "ratio", "in", "FY2018", "?" ]

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

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

wm_stock_metrics

how many discretionary companies are above $ 1 billion in PB ratio in FY2018 ?

130

n/a

[ "please", "give", "me", "revaluations", "of", "investment", "properties", "information", "of", "the", "top", "five", "companies", "outside", "of", "the", "Egypt", "." ]

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

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

wm_stock_metrics

please give me revaluations of investment properties information of the top five companies outside of the Egypt .

131

n/a

[ "which", "institutions", "outside", "of", "Antarctica", "have", "over", "8x", "in", "market", "cap" ]

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

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

wm_stock_metrics

which institutions outside of Antarctica have over 8x in market cap

132

n/a

[ "what", "is", "the", "usual", "CQ3", "revenue", "of", "companies", "with", "a", "p/e", "ratios", "under", "$", "4", "million", "?" ]

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

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

wm_stock_metrics

what is the usual CQ3 revenue of companies with a p/e ratios under $ 4 million ?

133

n/a

[ "where", "can", "i", "see", "a", "list", "of", "all", "the", "Michigan", "gas", "companies", "and", "their", "2018", "q2", "net", "financing", "costs", "and", "ptbv", "data", "?" ]

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

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

wm_stock_metrics

where can i see a list of all the Michigan gas companies and their 2018 q2 net financing costs and ptbv data ?

134

n/a

[ "get", "the", "latest", "shares", "outstanding", "of", "the", "top", "2", "companies", "not", "in", "united", "kingdom", "for", "me", "." ]

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

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

wm_stock_metrics

get the latest shares outstanding of the top 2 companies not in united kingdom for me .

135

n/a

[ "what", "companies", "are", "at", "the", "top", "for", "ebidtass", "in", "the", "communication", "industry", "?" ]

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

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

wm_stock_metrics

what companies are at the top for ebidtass in the communication industry ?

136

n/a

[ "show", "me", "the", "equalization", "reserves", "of", "the", "top", "21", "companies", "not", "in", "north", "america", "." ]

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

wm_stock_metrics

show me the equalization reserves of the top 21 companies not in north america .

137

n/a

[ "show", "me", "the", "companies", "based", "in", "Taiwan", "with", "a", "levered", "fcf", "growth", "above", "1", "billion", "dollars" ]

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

wm_stock_metrics

show me the companies based in Taiwan with a levered fcf growth above 1 billion dollars

138

n/a

[ "i", "would", "like", "the", "earning", "per", "share", "of", "companies", "with", "a", "ltm", "closing", "price", "under", "$", "33", "billion", "." ]

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

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

wm_stock_metrics

i would like the earning per share of companies with a ltm closing price under $ 33 billion .

139

n/a

[ "i", "want", "the", "price", "to", "book", "ratio", "of", "companies", "with", "a", "ebt/equity", "over", "3.12", "%", "." ]

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

wm_stock_metrics

i want the price to book ratio of companies with a ebt/equity over 3.12 % .

140

n/a

[ "can", "you", "obtain", "the", "foreign", "deposits", "of", "the", "top", "2", "companies", "in", "Estonia", "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 foreign deposits of the top 2 companies in Estonia for me ?

141

n/a

[ "what", "are", "the", "top", "communication", "companies", "'", "tev/ebit", "with", "a", "share", "in", "current", "taxes", "over", "4", "billion", "?" ]

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

wm_stock_metrics

what are the top communication companies ' tev/ebit with a share in current taxes over 4 billion ?

142

n/a

[ "within", "the", "canada", ",", "what", "is", "the", "unrecognized", "nonpension", "actuarial", "loss", "of", "the", "top", "finance", "companies", "?" ]

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

wm_stock_metrics

within the canada , what is the unrecognized nonpension actuarial loss of the top finance companies ?

143

n/a

[ "show", "me", "where", "i", "can", "get", "the", "total", "assets", "for", "the", "top", "three", "financial", "companies", "." ]

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

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

wm_stock_metrics

show me where i can get the total assets for the top three financial companies .

144

n/a

[ "show", "me", "top", "non", "us", "reits" ]

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

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

wm_stock_metrics

show me top non us reits

145

n/a

[ "short", "term", "liabilities", "paid", "for", "the", "companies", "in", "india" ]

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

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

wm_stock_metrics

short term liabilities paid for the companies in india

146

n/a

[ "what", "is", "the", "top", "comm", "company", "with", "a", "intangible", "assets", "more", "than", "342", "billion", "dollars", "?" ]

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

wm_stock_metrics

what is the top comm company with a intangible assets more than 342 billion dollars ?

147

n/a

[ "tell", "me", "the", "commercial", "lns", "coverage", "ratio", "of", "the", "top", "2", "companies", "in", "Kuwait", "." ]

[ "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", "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" ]

wm_stock_metrics

tell me the commercial lns coverage ratio of the top 2 companies in Kuwait .

148

n/a

[ "will", "you", "look", "up", "the", "PTB", "value", "of", "the", "top", "41", "companies", "in", "germany", "?" ]

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

wm_stock_metrics

will you look up the PTB value of the top 41 companies in germany ?

149

n/a

[ "can", "you", "obtain", "the", "vnasdn", "of", "the", "top", "4", "companies", "outside", "of", "Colombia", "?" ]

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

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

wm_stock_metrics

can you obtain the vnasdn of the top 4 companies outside of Colombia ?

150

n/a

[ "i", "want", "to", "know", "how", "many", "companies", "currently", "have", "a", "net", "income", "below", "66x" ]

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

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

wm_stock_metrics

i want to know how many companies currently have a net income below 66x

151

n/a

[ "give", "me", "the", "q2", "2017", "tr", "and", "earning", "per", "share", "for", "all", "Belarus", "oil", "companies", "." ]

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

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

wm_stock_metrics

give me the q2 2017 tr and earning per share for all Belarus oil companies .

152

n/a

[ "show", "me", "companies", "outside", "of", "canada", "with", "an", "long-term", "senior", "notes/", "debt", "greater", "than", "2", "billion" ]

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

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

wm_stock_metrics

show me companies outside of canada with an long-term senior notes/ debt greater than 2 billion

153

n/a

[ "will", "you", "look", "up", "the", "expense", "of", "the", "top", "41", "companies", "in", "Tunisia", "?" ]

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

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

wm_stock_metrics

will you look up the expense of the top 41 companies in Tunisia ?

154

n/a

[ "tell", "me", "about", "the", "net", "income", "of", "the", "top", "five", "companies", "outside", "of", "the", "Chile", "." ]

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

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

wm_stock_metrics

tell me about the net income of the top five companies outside of the Chile .

155

n/a

[ "where", "can", "i", "look", "to", "find", "the", "sales", "for", "the", "top", "energy", "traders", "companies", "?" ]

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

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

wm_stock_metrics

where can i look to find the sales for the top energy traders companies ?

156

n/a

[ "please", "give", "me", "electricity", "delivered", "information", "of", "the", "top", "five", "companies", "in", "america", "." ]

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

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

wm_stock_metrics

please give me electricity delivered information of the top five companies in america .

157

n/a

[ "which", "companies", "have", "a", "retail", "revenues", "value", "greater", "than", "31", "million", "dollars" ]

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

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

wm_stock_metrics

which companies have a retail revenues value greater than 31 million dollars

158

n/a

[ "what", "is", "the", "average", "fq2019", "same", "store", "sales", "growth", "of", "companies", "which", "have", "a", "firm", "value", "below", "3", "?" ]

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

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

wm_stock_metrics

what is the average fq2019 same store sales growth of companies which have a firm value below 3 ?

159

n/a

[ "tell", "me", "the", "treasury", "stock", "of", "the", "top", "companies", "not", "in", "alaska" ]

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

wm_stock_metrics

tell me the treasury stock of the top companies not in alaska

160

n/a

[ "will", "you", "obtain", "the", "net", "tech", "provision", "liability", "of", "the", "top", "421", "companies", "in", "Aruba", "for", "me", "?" ]

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

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

wm_stock_metrics

will you obtain the net tech provision liability of the top 421 companies in Aruba for me ?

161

n/a

[ "i", "would", "like", "to", "know", "the", "services", "loans/", "loans", "of", "the", "top", "2", "companies", "in", "japan", "." ]

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

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

wm_stock_metrics

i would like to know the services loans/ loans of the top 2 companies in japan .

162

n/a

[ "what", "is", "the", "FY2016", "filing", "date", "for", "each", "health", "care", "company", "with", "a", "market", "capitalization", "under", "4.3", "%", "?" ]

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

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

wm_stock_metrics

what is the FY2016 filing date for each health care company with a market capitalization under 4.3 % ?

163

n/a

[ "need", "to", "research", "the", "total", "market", "cap", "of", "companies", "with", "a", "corporate", "non-time", "deposits", "above", "4.4x" ]

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

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

wm_stock_metrics

need to research the total market cap of companies with a corporate non-time deposits above 4.4x

164

n/a

[ "please", "get", "me", "the", "loan", "charges/", "total", "revenues", "of", "the", "top", "4", "companies", "in", "IL" ]

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

wm_stock_metrics

please get me the loan charges/ total revenues of the top 4 companies in IL

165

n/a

[ "what", "is", "the", "top", "grocery", "company", "with", "a", "price/", "earnings", "after", "extra", "greater", "than", "4.4x", "?" ]

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

[ "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-numeric_above_name", "O" ]

wm_stock_metrics

what is the top grocery company with a price/ earnings after extra greater than 4.4x ?

166

n/a

[ "get", "me", "the", "bonds", "payable", "of", "the", "top", "2", "companies", "in", "Turkey", "." ]

[ "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 bonds payable of the top 2 companies in Turkey .

167

n/a

[ "what", "is", "the", "usual", "CQ", "2017", "close", "price", "of", "companies", "with", "a", "p/e", "ratios", "under", "44", "?" ]

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

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

wm_stock_metrics

what is the usual CQ 2017 close price of companies with a p/e ratios under 44 ?

168

n/a

[ "for", "all", "the", "companies", "in", "Iceland", ",", "what", "is", "the", "q1", "2016", "earning", "and", "treasury", "stock", "?" ]

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

wm_stock_metrics

for all the companies in Iceland , what is the q1 2016 earning and treasury stock ?

169

n/a

[ "which", "companies", "in", "the", "metal", "containers", "sector", "have", "a", "asset", "values", "less", "than", "1", "billion", "for", "3Q", "2016", "?" ]

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

wm_stock_metrics

which companies in the metal containers sector have a asset values less than 1 billion for 3Q 2016 ?

170

n/a

[ "give", "me", "the", "investment", "properties", "of", "the", "top", "31", "companies", "not", "from", "European", "Union", "." ]

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

wm_stock_metrics

give me the investment properties of the top 31 companies not from European Union .

171

n/a

[ "i", "'d", "like", "to", "know", "the", "country", "of", "incorporation", "code", "of", "the", "top", "9", "companies", "in", "the", "Bosnia", "." ]

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

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

wm_stock_metrics

i 'd like to know the country of incorporation code of the top 9 companies in the Bosnia .

172

n/a

[ "what", "institutions", "are", "in", "Oman", "and", "in", "renewable", "energy" ]

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

wm_stock_metrics

what institutions are in Oman and in renewable energy

173

n/a

[ "will", "you", "obtain", "the", "capex", "of", "the", "top", "224", "companies", "in", "us", "for", "me", "?" ]

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

wm_stock_metrics

will you obtain the capex of the top 224 companies in us for me ?

174

n/a

[ "can", "you", "provide", "net", "stable", "funding", "ratio", "information", "for", "the", "top", "technology", "companies", "?" ]

[ "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" ]

wm_stock_metrics

can you provide net stable funding ratio information for the top technology companies ?

175

n/a

[ "what", "is", "the", "2018", "income", "statement", "of", "the", "top", "united", "kingdom", "company", "with", "a", "market", "caps", "over", "32", "%", "?" ]

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

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

wm_stock_metrics

what is the 2018 income statement of the top united kingdom company with a market caps over 32 % ?

176

n/a

[ "what", "is", "the", "commercial", "paper/", "debt", "of", "each", "of", "the", "top", "ten", "companies", "in", "the", "Cape", "Verde", "?" ]

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

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

wm_stock_metrics

what is the commercial paper/ debt of each of the top ten companies in the Cape Verde ?

177

n/a

[ "get", "the", "earnings", "before", "tax", "of", "the", "top", "2", "companies", "not", "in", "united", "states", "and", "canada", "for", "me", "." ]

[ "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" ]

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

wm_stock_metrics

get the earnings before tax of the top 2 companies not in united states and canada for me .

178

n/a

[ "i", "am", "needing", "you", "to", "get", "me", "price", "earnings", "ratio", "of", "the", "top", "2", "companies", "in", "Asia-Pacific", "." ]

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

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

wm_stock_metrics

i am needing you to get me price earnings ratio of the top 2 companies in Asia-Pacific .

179

n/a

[ "how", "can", "i", "see", "capex", "for", "it", "companies", "?" ]

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

wm_stock_metrics

how can i see capex for it companies ?

180

n/a

[ "tell", "me", "the", "foreign", "deposits", "of", "the", "top", "five", "companies", "in", "Papua", "New", "Guinea", "." ]

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

wm_stock_metrics

tell me the foreign deposits of the top five companies in Papua New Guinea .

181

n/a

[ "What", "are", "the", "companies", "with", "over", "22x", "in", "P/B", "ratio" ]

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

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

wm_stock_metrics

What are the companies with over 22x in P/B ratio

182

n/a

[ "what", "are", "the", "long-term", "business", "operating", "profit", "of", "the", "top", "americas", "companies", "with", "return", "on", "equity", "under", "411", "million", "dollars", "?" ]

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

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

wm_stock_metrics

what are the long-term business operating profit of the top americas companies with return on equity under 411 million dollars ?

183

n/a

[ "i", "need", "foreign", "deposits", "information", "on", "top", "companies", "in", "Kazakhstan", "." ]

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

wm_stock_metrics

i need foreign deposits information on top companies in Kazakhstan .

184

n/a

[ "can", "you", "obtain", "the", "net", "mortgage", "servicing", "income", "of", "the", "top", "2", "companies", "outside", "of", "China", "?" ]

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

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

wm_stock_metrics

can you obtain the net mortgage servicing income of the top 2 companies outside of China ?

185

n/a

[ "which", "institutions", "outside", "of", "Indonesia", "have", "over", "59", "thousand", "dollars", "in", "r", "&", "d" ]

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

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

wm_stock_metrics

which institutions outside of Indonesia have over 59 thousand dollars in r & d

186

n/a

[ "can", "you", "obtain", "the", "mkt", "cap", "of", "the", "top", "4", "companies", "outside", "of", "Abu", "Dhabi", "?" ]

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

wm_stock_metrics

can you obtain the mkt cap of the top 4 companies outside of Abu Dhabi ?

187

n/a

[ "i", "would", "like", "to", "know", "the", "TEV", "of", "the", "top", "4", "companies", "in", "Ecuador", "." ]

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

wm_stock_metrics

i would like to know the TEV of the top 4 companies in Ecuador .

188

n/a

[ "will", "you", "tell", "me", "the", "change", "in", "def", "taxes", "of", "the", "top", "2", "companies", "in", "Slovakia", "?" ]

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

wm_stock_metrics

will you tell me the change in def taxes of the top 2 companies in Slovakia ?

189

n/a

[ "will", "you", "show", "me", "deal", "value", "info", "for", "the", "top", "consumer", "staples", "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", "B-target_metric_name", "I-target_metric_name", "I-target_metric_name", "O", "O", "O", "B-sector_name", "I-sector_name", "O", "O" ]

wm_stock_metrics

will you show me deal value info for the top consumer staples companies ?

190

n/a

[ "what", "information", "is", "available", "on", "the", "number", "of", "shares", "of", "companies", "with", "a", "enterprise", "value", "to", "revenue", "over", "$", "2", "million", "?" ]

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

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

wm_stock_metrics

what information is available on the number of shares of companies with a enterprise value to revenue over $ 2 million ?

191

n/a

[ "what", "telecom", "sector", "companies", "made", "the", "top", "ten", "list", "for", "retail", "personal", "time", "deposits", "?" ]

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

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

wm_stock_metrics

what telecom sector companies made the top ten list for retail personal time deposits ?

192

n/a

[ "i", "am", "needing", "the", "ebitda", "per", "share", "of", "the", "top", "21", "companies", "in", "europe", "." ]

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

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

wm_stock_metrics

i am needing the ebitda per share of the top 21 companies in europe .

193

n/a

[ "what", "is", "the", "median", "mortality", "or", "morbidity", "decrease", "for", "tech", "companies" ]

[ "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" ]

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

wm_stock_metrics

what is the median mortality or morbidity decrease for tech companies

194

n/a

[ "show", "me", "the", "bonds", "payable", "of", "the", "top", "4", "companies", "in", "Angola", "." ]

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

wm_stock_metrics

show me the bonds payable of the top 4 companies in Angola .

195

n/a

[ "tell", "me", "the", "ipo", "of", "the", "top", "23", "companies", "that", "are", "not", "located", "in", "Latvia", "." ]

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

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

wm_stock_metrics

tell me the ipo of the top 23 companies that are not located in Latvia .

196

n/a

[ "i", "am", "needing", "the", "stock", "price", "growth", "of", "the", "top", "31", "companies", "in", "united", "states", "of", "america", "." ]

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

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

wm_stock_metrics

i am needing the stock price growth of the top 31 companies in united states of america .

197

n/a

[ "tell", "me", "the", "total", "debt/", "tangible", "equity", "of", "the", "top", "companies", "in", "the", "Cape", "Verde", "." ]

[ "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", "O" ]

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

wm_stock_metrics

tell me the total debt/ tangible equity of the top companies in the Cape Verde .

198

n/a

[ "give", "me", "more", "information", "on", "the", "top", "twenty", "companies", "with", "dividends", "per", "share", "that", "have", "a", "revaluation", "of", "non-trading", "properties", "over", "3", "million", "." ]

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wm_stock_metrics

give me more information on the top twenty companies with dividends per share that have a revaluation of non-trading properties over 3 million .

199

n/a

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wm_stock_metrics

how many companies have a foreign deposits above 86 %