id
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value | tokens
sequence | tags_gold
sequence | tags
sequence | classification
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stringlengths 17
165
|
---|---|---|---|---|---|---|
0 | n/a | [
"get",
"me",
"the",
"oibda",
"growth",
"of",
"the",
"top",
"3",
"companies",
"in",
"Paraguay",
"."
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-rank",
"O",
"O",
"B-location_inside_name",
"O"
] | wm_stock_metrics | get me the oibda growth of the top 3 companies in Paraguay . |
1 | n/a | [
"what",
"would",
"you",
"say",
"is",
"the",
"usual",
"FY2016",
"total",
"liabilities",
"of",
"companies",
"with",
"a",
"total",
"common",
"equity",
"under",
"$",
"4.4x",
"?"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-date_metric",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"B-numeric",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-numeric_below_name",
"O"
] | wm_stock_metrics | what would you say is the usual FY2016 total liabilities of companies with a total common equity under $ 4.4x ? |
2 | n/a | [
"what",
"was",
"the",
"div",
"yield",
"amount",
"and",
"also",
"the",
"fq1",
"insurance",
"payables",
"for",
"firms",
"which",
"are",
"in",
"Cook",
"Islands",
"?"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-date_metric",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"I-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | wm_stock_metrics | what was the div yield amount and also the fq1 insurance payables for firms which are in Cook Islands ? |
3 | n/a | [
"give",
"me",
"the",
"PB",
"ratio",
"of",
"companies",
"whose",
"price",
"to",
"book",
"ratio",
"is",
"over",
"12",
"billion",
"last",
"year",
"."
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"B-numeric",
"I-numeric",
"B-date_metric",
"I-date_metric",
"O"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"B-numeric_above_name",
"I-numeric_above_name",
"B-date_metric",
"I-date_metric",
"O"
] | wm_stock_metrics | give me the PB ratio of companies whose price to book ratio is over 12 billion last year . |
4 | n/a | [
"show",
"me",
"what",
"the",
"ev",
"are",
"for",
"the",
"top",
"3",
"solar",
"energy",
"companies",
"."
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"B-sector_name",
"I-sector_name",
"O",
"O"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"B-rank",
"B-sector_name",
"I-sector_name",
"O",
"O"
] | wm_stock_metrics | show me what the ev are for the top 3 solar energy companies . |
5 | n/a | [
"will",
"you",
"obtain",
"the",
"premium",
"income",
"of",
"the",
"top",
"244",
"companies",
"in",
"japan",
"for",
"me",
"?"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O",
"O",
"O"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | wm_stock_metrics | will you obtain the premium income of the top 244 companies in japan for me ? |
6 | n/a | [
"tell",
"me",
"about",
"the",
"uninsured",
"percent",
"of",
"admissions",
"of",
"the",
"top",
"5",
"companies",
"in",
"Paraguay",
"."
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_outside_name",
"O"
] | wm_stock_metrics | tell me about the uninsured percent of admissions of the top 5 companies in Paraguay . |
7 | n/a | [
"what",
"would",
"you",
"say",
"is",
"the",
"usual",
"tarp",
"preferred",
"equity",
"of",
"companies",
"with",
"a",
"total",
"debts",
"under",
"$",
"1",
"billion",
"?"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"B-numeric",
"I-numeric",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-numeric_below_name",
"O",
"O"
] | wm_stock_metrics | what would you say is the usual tarp preferred equity of companies with a total debts under $ 1 billion ? |
8 | n/a | [
"what",
"is",
"the",
"ffo",
"of",
"reit",
"companies",
"of",
"usa",
"?"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"O",
"B-sector_name",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"B-filter_metric_name",
"O",
"O",
"O",
"O",
"B-location_outside_name",
"O"
] | wm_stock_metrics | what is the ffo of reit companies of usa ? |
9 | n/a | [
"what",
"are",
"the",
"top",
"energy",
"sector",
"companies",
"'",
"total",
"debt",
"issued",
"with",
"a",
"ROE",
"over",
"24",
"%",
"?"
] | [
"O",
"O",
"O",
"O",
"B-sector_name",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"B-filter_metric_name",
"O",
"B-numeric",
"I-numeric",
"O"
] | [
"O",
"O",
"O",
"O",
"B-sector_name",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"B-filter_metric_name",
"O",
"B-numeric_above_name",
"O",
"O"
] | wm_stock_metrics | what are the top energy sector companies ' total debt issued with a ROE over 24 % ? |
10 | n/a | [
"what",
"are",
"the",
"companies",
"with",
"a",
"electricity",
"delivered",
"greater",
"than",
"$",
"62",
"million"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"O",
"B-numeric",
"I-numeric"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"B-numeric_above_name",
"I-numeric_above_name",
"I-numeric_above_name"
] | wm_stock_metrics | what are the companies with a electricity delivered greater than $ 62 million |
11 | n/a | [
"can",
"you",
"obtain",
"the",
"ifrs",
"new",
"business",
"strain",
"of",
"the",
"top",
"3",
"companies",
"in",
"Libya",
"for",
"me",
"?"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O",
"O",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-numeric_above_name",
"I-numeric_above_name",
"O",
"O",
"B-location_inside_name",
"O",
"O",
"O"
] | wm_stock_metrics | can you obtain the ifrs new business strain of the top 3 companies in Libya for me ? |
12 | n/a | [
"what",
"is",
"the",
"residential",
"access",
"lines",
"growth",
"of",
"the",
"top",
"Tobago",
"company",
"with",
"a",
"trading",
"price",
"over",
"424",
"thousand",
"dollars",
"?"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-location_inside_name",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"O",
"B-numeric",
"I-numeric",
"O",
"O"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-sector_name",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"O",
"B-numeric_above_name",
"I-numeric_above_name",
"I-numeric_above_name",
"O"
] | wm_stock_metrics | what is the residential access lines growth of the top Tobago company with a trading price over 424 thousand dollars ? |
13 | n/a | [
"will",
"you",
"look",
"up",
"the",
"price",
"earnings",
"ratio",
"of",
"the",
"top",
"3",
"companies",
"in",
"the",
"Philippines",
"?"
] | [
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-numeric_above_name",
"O",
"O",
"O",
"B-location_outside_name",
"O"
] | wm_stock_metrics | will you look up the price earnings ratio of the top 3 companies in the Philippines ? |
14 | n/a | [
"show",
"me",
"what",
"the",
"dividend",
"are",
"for",
"the",
"top",
"4",
"info",
"tech",
"companies",
"."
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"B-sector_name",
"I-sector_name",
"O",
"O"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"B-numeric_above_name",
"B-sector_name",
"I-sector_name",
"O",
"O"
] | wm_stock_metrics | show me what the dividend are for the top 4 info tech companies . |
15 | n/a | [
"show",
"me",
"the",
"shares",
"of",
"the",
"top",
"21",
"companies",
"not",
"in",
"Asia-Pacific",
"."
] | [
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_outside_name",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-numeric_above_name",
"O",
"O",
"O",
"B-location_outside_name",
"O"
] | wm_stock_metrics | show me the shares of the top 21 companies not in Asia-Pacific . |
16 | n/a | [
"get",
"me",
"the",
"RROA",
"of",
"the",
"top",
"4",
"companies",
"in",
"France",
"."
] | [
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"B-location_inside_name",
"O",
"O",
"B-location_outside_name",
"O",
"O",
"O",
"B-numeric_above_name",
"O",
"O",
"B-filter_metric_name",
"O"
] | wm_stock_metrics | get me the RROA of the top 4 companies in France . |
17 | n/a | [
"tell",
"me",
"the",
"institutional",
"deposits",
"of",
"the",
"top",
"4",
"companies",
"in",
"japan",
"."
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-rank",
"O",
"O",
"B-location_inside_name",
"O"
] | wm_stock_metrics | tell me the institutional deposits of the top 4 companies in japan . |
18 | n/a | [
"what",
"'s",
"the",
"partnership",
"non-property",
"revaluation",
"of",
"the",
"top",
"five",
"companies",
"in",
"india",
"?"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-rank",
"O",
"O",
"B-location_inside_name",
"O"
] | wm_stock_metrics | what 's the partnership non-property revaluation of the top five companies in india ? |
19 | n/a | [
"tell",
"me",
"the",
"impairment",
"on",
"financial",
"assets",
"information",
"of",
"companies",
"with",
"a",
"non-financial",
"investments",
"impairment",
"under",
"413",
"billion",
"."
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"B-numeric",
"I-numeric",
"O"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"B-numeric_below_name",
"O",
"O"
] | wm_stock_metrics | tell me the impairment on financial assets information of companies with a non-financial investments impairment under 413 billion . |
20 | n/a | [
"will",
"you",
"obtain",
"the",
"insurance",
"management",
"servicing",
"revenue",
"of",
"the",
"top",
"421",
"companies",
"in",
"Bosnia",
"for",
"me",
"?"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O",
"O",
"O"
] | [
"O",
"O",
"O",
"O",
"B-sector_name",
"I-sector_name",
"B-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"O",
"B-rank",
"O",
"O",
"B-location_inside_name",
"O",
"O",
"O"
] | wm_stock_metrics | will you obtain the insurance management servicing revenue of the top 421 companies in Bosnia for me ? |
21 | n/a | [
"out",
"of",
"the",
"companies",
"in",
"Uruguay",
"how",
"many",
"have",
"a",
"share",
"in",
"current",
"taxes",
"value",
"less",
"than",
"43",
"%"
] | [
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"O",
"B-numeric",
"I-numeric"
] | [
"O",
"O",
"O",
"O",
"O",
"B-location_outside_name",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"B-sector_name",
"I-sector_name"
] | wm_stock_metrics | out of the companies in Uruguay how many have a share in current taxes value less than 43 % |
22 | n/a | [
"will",
"you",
"look",
"up",
"the",
"same-store",
"rental",
"rate",
"of",
"the",
"top",
"23",
"companies",
"in",
"eu",
"?"
] | [
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-rank",
"O",
"O",
"B-location_inside_name",
"O"
] | wm_stock_metrics | will you look up the same-store rental rate of the top 23 companies in eu ? |
23 | n/a | [
"show",
"me",
"CQ2016",
"forward",
"p/e",
"ratio",
"information",
"of",
"companies",
"with",
"a",
"total",
"enterprise",
"values",
"under",
"3",
"."
] | [
"O",
"O",
"B-date_metric",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"B-numeric",
"O"
] | [
"O",
"O",
"B-filter_metric_name",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-numeric_below_name",
"O"
] | wm_stock_metrics | show me CQ2016 forward p/e ratio information of companies with a total enterprise values under 3 . |
24 | n/a | [
"get",
"the",
"re",
"investment",
"less",
"deficit",
"of",
"the",
"top",
"2",
"companies",
"not",
"in",
"Canada",
"for",
"me",
"."
] | [
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_outside_name",
"O",
"O",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_outside_name",
"O",
"O",
"O"
] | wm_stock_metrics | get the re investment less deficit of the top 2 companies not in Canada for me . |
25 | n/a | [
"i",
"want",
"to",
"know",
"the",
"q1",
"2017",
"net",
"loans",
"on",
"every",
"India",
"company",
"."
] | [
"O",
"O",
"O",
"O",
"O",
"B-date_metric",
"I-date_metric",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"B-location_inside_name",
"O",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"B-date_metric",
"I-date_metric",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"B-location_inside_name",
"O",
"O"
] | wm_stock_metrics | i want to know the q1 2017 net loans on every India company . |
26 | n/a | [
"will",
"you",
"obtain",
"the",
"target",
"price",
"of",
"the",
"top",
"424",
"companies",
"in",
"italy",
"for",
"me",
"?"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O",
"O",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-numeric_above_name",
"O",
"O",
"B-location_outside_name",
"O",
"O",
"O"
] | wm_stock_metrics | will you obtain the target price of the top 424 companies in italy for me ? |
27 | n/a | [
"what",
"companies",
"are",
"at",
"the",
"top",
"for",
"total",
"debt/",
"total",
"capitalization",
"in",
"the",
"health",
"industry",
"?"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"B-sector_name",
"O",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"B-sector_name",
"O",
"O"
] | wm_stock_metrics | what companies are at the top for total debt/ total capitalization in the health industry ? |
28 | n/a | [
"i",
"need",
"research",
"on",
"the",
"top",
"industrials",
"sector",
"company",
"with",
"a",
"debtors",
"under",
"231",
"billion",
"."
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-sector_name",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"O",
"B-numeric",
"I-numeric",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-sector_name",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"O",
"B-numeric_below_name",
"O",
"O"
] | wm_stock_metrics | i need research on the top industrials sector company with a debtors under 231 billion . |
29 | n/a | [
"will",
"you",
"give",
"me",
"the",
"restricted",
"stock",
"awards",
"of",
"the",
"top",
"4",
"companies",
"in",
"asia",
"?"
] | [
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-rank",
"O",
"O",
"B-location_inside_name",
"O"
] | wm_stock_metrics | will you give me the restricted stock awards of the top 4 companies in asia ? |
30 | n/a | [
"stock",
"price",
"of",
"gold",
"companies",
"in",
"florida"
] | [
"B-target_metric_name",
"I-target_metric_name",
"O",
"B-sector_name",
"O",
"O",
"B-location_inside_name"
] | [
"B-target_metric_name",
"I-target_metric_name",
"O",
"B-sector_name",
"O",
"O",
"B-location_inside_name"
] | wm_stock_metrics | stock price of gold companies in florida |
31 | n/a | [
"give",
"me",
"the",
"domestic",
"trust",
"fees",
"for",
"each",
"of",
"the",
"top",
"mortgage",
"services",
"companies",
"in",
"Guatemala",
"."
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"B-sector_name",
"I-sector_name",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | wm_stock_metrics | give me the domestic trust fees for each of the top mortgage services companies in Guatemala . |
32 | n/a | [
"show",
"me",
"the",
"net",
"debt/",
"total",
"cap",
"for",
"the",
"top",
"companies",
"not",
"in",
"Asia-Pacific"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_outside_name"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_outside_name"
] | wm_stock_metrics | show me the net debt/ total cap for the top companies not in Asia-Pacific |
33 | n/a | [
"please",
"research",
"for",
"2019",
"what",
"the",
"dividends",
"figures",
"were",
"for",
"companies",
"in",
"Malaysia",
"."
] | [
"O",
"O",
"O",
"B-date_metric",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"B-date_metric",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | wm_stock_metrics | please research for 2019 what the dividends figures were for companies in Malaysia . |
34 | n/a | [
"gold",
"companies",
"with",
"inventory",
"turnover",
"greater",
"than",
"us",
"$",
"1",
"billion"
] | [
"B-sector_name",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"O",
"B-numeric",
"I-numeric",
"I-numeric"
] | [
"B-sector_name",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"O",
"B-numeric_above_name",
"I-numeric_above_name",
"I-numeric_above_name"
] | wm_stock_metrics | gold companies with inventory turnover greater than us $ 1 billion |
35 | n/a | [
"risk-monitored",
"manufacturing",
"loans",
"in",
"companies",
"of",
"USA",
"in",
"descending",
"order"
] | [
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-location_inside_name",
"O",
"O",
"O"
] | [
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-location_inside_name",
"O",
"O",
"O"
] | wm_stock_metrics | risk-monitored manufacturing loans in companies of USA in descending order |
36 | n/a | [
"i",
"would",
"like",
"the",
"total",
"intangibles",
"including",
"dac",
"of",
"companies",
"with",
"a",
"number",
"of",
"share",
"under",
"14",
"billion",
"."
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"B-numeric",
"I-numeric",
"O"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"B-numeric_below_name",
"O",
"O"
] | wm_stock_metrics | i would like the total intangibles including dac of companies with a number of share under 14 billion . |
37 | n/a | [
"give",
"me",
"the",
"same-store",
"sales",
"growth",
"of",
"the",
"three",
"germany",
"companies",
"."
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-location_inside_name",
"O",
"O"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"B-rank",
"B-location_inside_name",
"O",
"O"
] | wm_stock_metrics | give me the same-store sales growth of the three germany companies . |
38 | n/a | [
"unconsolidated",
"assets",
"for",
"health",
"companies",
"in",
"us",
"and",
"commonwealth",
"of",
"australia"
] | [
"B-target_metric_name",
"I-target_metric_name",
"O",
"B-sector_name",
"O",
"O",
"B-location_inside_name",
"O",
"B-location_inside_name",
"I-location_inside_name",
"I-location_inside_name"
] | [
"B-filter_metric_name",
"I-filter_metric_name",
"O",
"B-sector_name",
"O",
"O",
"B-location_inside_name",
"O",
"O",
"O",
"B-location_inside_name"
] | wm_stock_metrics | unconsolidated assets for health companies in us and commonwealth of australia |
39 | n/a | [
"What",
"are",
"the",
"companies",
"with",
"over",
"9",
"thousand",
"dollars",
"in",
"COGS"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-numeric",
"I-numeric",
"O",
"O",
"B-filter_metric_name"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-numeric_above_name",
"O",
"O",
"O",
"O"
] | wm_stock_metrics | What are the companies with over 9 thousand dollars in COGS |
40 | n/a | [
"tell",
"me",
"the",
"total",
"deposits",
"of",
"the",
"top",
"companies",
"not",
"in",
"Congo",
"."
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_outside_name",
"O"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_outside_name",
"O"
] | wm_stock_metrics | tell me the total deposits of the top companies not in Congo . |
41 | n/a | [
"will",
"you",
"give",
"me",
"the",
"current",
"assets",
"of",
"the",
"top",
"3",
"companies",
"in",
"Asia-Pacific",
"?"
] | [
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-sector_name",
"O",
"O",
"O",
"B-numeric_above_name",
"O",
"O",
"B-location_outside_name",
"O"
] | wm_stock_metrics | will you give me the current assets of the top 3 companies in Asia-Pacific ? |
42 | n/a | [
"tell",
"me",
"the",
"2016",
"number",
"of",
"shares",
"information",
"of",
"companies",
"with",
"a",
"forward",
"p/e",
"under",
"4.4x",
"."
] | [
"O",
"O",
"O",
"B-date_metric",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"O",
"B-numeric",
"O"
] | [
"O",
"O",
"O",
"B-date_metric",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"B-numeric_below_name",
"O"
] | wm_stock_metrics | tell me the 2016 number of shares information of companies with a forward p/e under 4.4x . |
43 | n/a | [
"what",
"'s",
"the",
"same-store",
"sales",
"and",
"bid",
"price",
"for",
"Venezuela",
"materials",
"companies",
"in",
"q2",
"2016",
"?"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"B-location_inside_name",
"B-sector_name",
"O",
"O",
"B-date_metric",
"I-date_metric",
"O"
] | [
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"B-location_inside_name",
"O",
"O",
"O",
"B-date_metric",
"I-date_metric",
"O"
] | wm_stock_metrics | what 's the same-store sales and bid price for Venezuela materials companies in q2 2016 ? |
44 | n/a | [
"I",
"want",
"to",
"know",
"how",
"many",
"companies",
"have",
"a",
"tr",
"value",
"of",
"less",
"than",
"10",
"million",
"that",
"also",
"is",
"in",
"healthcare",
"providers"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"O",
"O",
"O",
"O",
"B-numeric",
"I-numeric",
"O",
"O",
"O",
"O",
"B-sector_name",
"I-sector_name"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O"
] | wm_stock_metrics | I want to know how many companies have a tr value of less than 10 million that also is in healthcare providers |
45 | n/a | [
"do",
"you",
"know",
"what",
"the",
"2017",
"dps",
"and",
"ocf",
"is",
"for",
"all",
"companies",
"in",
"Fiji",
"?"
] | [
"O",
"O",
"O",
"O",
"O",
"B-date_metric",
"B-target_metric_name",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | wm_stock_metrics | do you know what the 2017 dps and ocf is for all companies in Fiji ? |
46 | n/a | [
"please",
"get",
"me",
"the",
"trading",
"asset",
"securities",
"of",
"the",
"top",
"4",
"companies",
"in",
"united",
"states",
"of",
"america",
"."
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"I-location_inside_name",
"I-location_inside_name",
"I-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-rank",
"O",
"O",
"B-location_inside_name",
"I-location_inside_name",
"I-location_inside_name",
"I-location_inside_name",
"O"
] | wm_stock_metrics | please get me the trading asset securities of the top 4 companies in united states of america . |
47 | n/a | [
"i",
"need",
"to",
"see",
"the",
"last",
"price",
"for",
"the",
"top",
"three",
"healthcare",
"sector",
"companies",
"."
] | [
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-sector_name",
"O",
"O",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"O",
"O",
"B-sector_name",
"O",
"O",
"O"
] | wm_stock_metrics | i need to see the last price for the top three healthcare sector companies . |
48 | n/a | [
"what",
"'s",
"the",
"average",
"Q3",
"dividends",
"of",
"companies",
"with",
"a",
"number",
"of",
"hotels",
"under",
"8x",
"in",
"the",
"US",
"?"
] | [
"O",
"O",
"O",
"O",
"B-date_metric",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"B-numeric",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"B-numeric_below_name",
"O",
"O",
"B-location_inside_name",
"O"
] | wm_stock_metrics | what 's the average Q3 dividends of companies with a number of hotels under 8x in the US ? |
49 | n/a | [
"tell",
"me",
"the",
"securities",
"htm",
"unrestricted",
"for",
"the",
"top",
"41",
"equity",
"REIT",
"companies",
"in",
"japan",
"."
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-sector_name",
"I-sector_name",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-numeric_below_name",
"B-sector_name",
"I-sector_name",
"I-sector_name",
"O",
"B-location_inside_name",
"O"
] | wm_stock_metrics | tell me the securities htm unrestricted for the top 41 equity REIT companies in japan . |
50 | n/a | [
"can",
"you",
"provide",
"PB",
"ratio",
"information",
"for",
"the",
"top",
"reinsurance",
"companies",
"?"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-sector_name",
"O",
"O"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-date_metric",
"I-date_metric",
"I-date_metric",
"O"
] | wm_stock_metrics | can you provide PB ratio information for the top reinsurance companies ? |
51 | n/a | [
"give",
"me",
"the",
"total",
"intangible",
"assets",
"of",
"the",
"top",
"five",
"companies",
"outside",
"of",
"the",
"Estonia",
"."
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_outside_name",
"O"
] | [
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_outside_name",
"O"
] | wm_stock_metrics | give me the total intangible assets of the top five companies outside of the Estonia . |
52 | n/a | [
"what",
"is",
"the",
"top",
"restaurants",
"company",
"with",
"a",
"preferred",
"equity/",
"book",
"capital",
"above",
"$",
"214",
"thousand",
"?"
] | [
"O",
"O",
"O",
"O",
"B-sector_name",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"B-numeric",
"I-numeric",
"O"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"B-numeric_above_name",
"I-numeric_above_name",
"O"
] | wm_stock_metrics | what is the top restaurants company with a preferred equity/ book capital above $ 214 thousand ? |
53 | n/a | [
"give",
"me",
"the",
"most",
"recent",
"quarter",
"total",
"enterprise",
"values",
"of",
"the",
"all",
"companies",
"with",
"a",
"forward",
"price-earnings",
"ratio",
"less",
"than",
"312",
"?"
] | [
"O",
"O",
"O",
"B-date_metric",
"I-date_metric",
"I-date_metric",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"B-numeric",
"O"
] | [
"O",
"O",
"O",
"B-date_metric",
"I-date_metric",
"I-date_metric",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"B-sector_name",
"O"
] | wm_stock_metrics | give me the most recent quarter total enterprise values of the all companies with a forward price-earnings ratio less than 312 ? |
54 | n/a | [
"show",
"me",
"where",
"to",
"find",
"the",
"gift",
"fund",
"for",
"the",
"top",
"investment",
"banks",
"companies",
"."
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-sector_name",
"I-sector_name",
"O",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"B-sector_name",
"I-sector_name",
"O",
"O",
"O"
] | wm_stock_metrics | show me where to find the gift fund for the top investment banks companies . |
55 | n/a | [
"for",
"companies",
"outside",
"of",
"United",
"Kingdom",
"which",
"companies",
"have",
"the",
"leading",
"electricity",
"delivered"
] | [
"O",
"O",
"O",
"O",
"B-location_outside_name",
"I-location_outside_name",
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name"
] | [
"O",
"O",
"O",
"O",
"B-location_outside_name",
"I-location_outside_name",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name"
] | wm_stock_metrics | for companies outside of United Kingdom which companies have the leading electricity delivered |
56 | n/a | [
"what",
"information",
"is",
"available",
"on",
"the",
"net",
"operating",
"revenue",
"of",
"companies",
"with",
"a",
"annualization",
"factor",
"over",
"$",
"4",
"thousand",
"?"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"B-numeric",
"I-numeric",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"B-numeric_above_name",
"I-numeric_above_name",
"O"
] | wm_stock_metrics | what information is available on the net operating revenue of companies with a annualization factor over $ 4 thousand ? |
57 | n/a | [
"get",
"me",
"the",
"pe",
"of",
"the",
"top",
"4",
"companies",
"in",
"india",
"."
] | [
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"B-rank",
"O",
"O",
"B-location_inside_name",
"O"
] | wm_stock_metrics | get me the pe of the top 4 companies in india . |
58 | n/a | [
"show",
"me",
"the",
"corporate",
"equity",
"owned",
"of",
"the",
"top",
"4",
"companies",
"in",
"united",
"states",
"and",
"canada",
"."
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"I-location_inside_name",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"O",
"O",
"O",
"O",
"B-rank",
"O",
"O",
"B-location_inside_name",
"I-location_inside_name",
"O",
"B-location_inside_name",
"O"
] | wm_stock_metrics | show me the corporate equity owned of the top 4 companies in united states and canada . |
59 | n/a | [
"i",
"want",
"the",
"earnings",
"of",
"companies",
"with",
"a",
"value",
"traded",
"over",
"34",
"million",
"."
] | [
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"O",
"B-numeric",
"I-numeric",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-numeric_above_name",
"I-numeric_above_name",
"O"
] | wm_stock_metrics | i want the earnings of companies with a value traded over 34 million . |
60 | n/a | [
"will",
"you",
"tell",
"me",
"the",
"CDS",
"of",
"the",
"top",
"3",
"companies",
"in",
"european",
"nations",
"?"
] | [
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"I-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"B-numeric_above_name",
"O",
"O",
"B-location_outside_name",
"I-location_outside_name",
"O"
] | wm_stock_metrics | will you tell me the CDS of the top 3 companies in european nations ? |
61 | n/a | [
"what",
"would",
"you",
"say",
"is",
"the",
"usual",
"total",
"dividends",
"of",
"companies",
"with",
"a",
"RROA",
"under",
"$",
"4x",
"?"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"O",
"O",
"B-numeric",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"O",
"B-numeric_below_name",
"I-numeric_below_name",
"O"
] | wm_stock_metrics | what would you say is the usual total dividends of companies with a RROA under $ 4x ? |
62 | n/a | [
"tell",
"me",
"the",
"leverage",
"ratio",
"%",
"for",
"the",
"top",
"21",
"healthcare",
"sector",
"companies",
"in",
"asia",
"."
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-sector_name",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-rank",
"B-sector_name",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | wm_stock_metrics | tell me the leverage ratio % for the top 21 healthcare sector companies in asia . |
63 | n/a | [
"show",
"me",
"the",
"am",
"&",
"brokerage",
"fees",
"of",
"the",
"top",
"41",
"companies",
"not",
"in",
"italy",
"."
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_outside_name",
"O"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"B-rank",
"I-rank",
"O",
"O",
"O",
"B-location_outside_name",
"O"
] | wm_stock_metrics | show me the am & brokerage fees of the top 41 companies not in italy . |
64 | n/a | [
"need",
"to",
"research",
"the",
"fy0",
"market",
"capitalization",
"of",
"companies",
"with",
"a",
"dividends",
"per",
"share",
"above",
"32"
] | [
"O",
"O",
"O",
"O",
"B-date_metric",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"B-numeric"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"B-numeric_above_name"
] | wm_stock_metrics | need to research the fy0 market capitalization of companies with a dividends per share above 32 |
65 | n/a | [
"can",
"you",
"obtain",
"the",
"dps",
"of",
"the",
"top",
"2",
"companies",
"outside",
"of",
"Denmark",
"?"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_outside_name",
"O"
] | [
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"O",
"O",
"O",
"B-rank",
"O",
"O",
"O",
"B-location_outside_name",
"O"
] | wm_stock_metrics | can you obtain the dps of the top 2 companies outside of Denmark ? |
66 | n/a | [
"what",
"is",
"the",
"oanwce",
"apwoei",
"awcvnweu",
"for",
"each",
"utilities",
"sector",
"company",
"with",
"a",
"market",
"cap",
"under",
"232",
"?"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"B-sector_name",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"O",
"B-numeric",
"O"
] | [
"O",
"O",
"O",
"B-numeric_above_name",
"I-numeric_above_name",
"I-numeric_above_name",
"O",
"O",
"B-sector_name",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-numeric_below_name",
"O"
] | wm_stock_metrics | what is the oanwce apwoei awcvnweu for each utilities sector company with a market cap under 232 ? |
67 | n/a | [
"give",
"me",
"the",
"forward",
"pe",
"of",
"the",
"three",
"north",
"america",
"companies",
"."
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-location_inside_name",
"I-location_inside_name",
"O",
"O"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"B-location_inside_name",
"I-location_inside_name",
"O",
"O"
] | wm_stock_metrics | give me the forward pe of the three north america companies . |
68 | n/a | [
"show",
"me",
"all",
"insurance",
"companies",
"with",
"a",
"FY1",
"2020",
"price",
"earning",
"ratio",
"higher",
"than",
"$",
"69",
"million"
] | [
"O",
"O",
"O",
"B-sector_name",
"O",
"O",
"O",
"B-date_metric",
"I-date_metric",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"O",
"B-numeric",
"I-numeric"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-numeric_below_name",
"I-numeric_below_name"
] | wm_stock_metrics | show me all insurance companies with a FY1 2020 price earning ratio higher than $ 69 million |
69 | n/a | [
"will",
"you",
"show",
"me",
"constituents",
"info",
"for",
"the",
"top",
"hotels",
",",
"restaurants",
"and",
"leisure",
"companies",
"?"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"B-sector_name",
"O",
"B-sector_name",
"O",
"B-sector_name",
"O",
"O"
] | [
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"O",
"B-sector_name",
"O",
"B-sector_name",
"O",
"B-sector_name",
"O",
"O"
] | wm_stock_metrics | will you show me constituents info for the top hotels , restaurants and leisure companies ? |
70 | n/a | [
"tell",
"me",
"the",
"sales",
"of",
"the",
"top",
"five",
"companies",
"in",
"LA"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"B-rank",
"O",
"O",
"B-location_inside_name"
] | wm_stock_metrics | tell me the sales of the top five companies in LA |
71 | n/a | [
"i",
"need",
"to",
"know",
"the",
"total",
"values",
"of",
"the",
"top",
"4",
"companies",
"in",
"Bosnia",
"."
] | [
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | wm_stock_metrics | i need to know the total values of the top 4 companies in Bosnia . |
72 | n/a | [
"what",
"is",
"the",
"net",
"operating",
"revenue",
"of",
"the",
"top",
"ten",
"health",
"sector",
"companies",
"in",
"the",
"Luxembourg",
"?"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-sector_name",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-rank",
"B-sector_name",
"I-sector_name",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | wm_stock_metrics | what is the net operating revenue of the top ten health sector companies in the Luxembourg ? |
73 | n/a | [
"give",
"me",
"the",
"expense",
"of",
"the",
"all",
"companies",
"with",
"a",
"securities",
"pledged",
"as",
"collateral",
"of",
"less",
"of",
"23",
"%",
"?"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"O",
"B-numeric",
"I-numeric",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"O",
"O",
"O",
"B-numeric_below_name",
"B-target_metric_name",
"O"
] | wm_stock_metrics | give me the expense of the all companies with a securities pledged as collateral of less of 23 % ? |
74 | n/a | [
"show",
"me",
"the",
"adjusted",
"net",
"asset",
"value",
"for",
"the",
"top",
"financials",
"company",
"."
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-sector_name",
"O",
"O"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-sector_name",
"I-sector_name",
"O"
] | wm_stock_metrics | show me the adjusted net asset value for the top financials company . |
75 | n/a | [
"i",
"need",
"to",
"see",
"the",
"lei",
"for",
"the",
"top",
"three",
"comm",
"sector",
"companies",
"."
] | [
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"B-sector_name",
"O",
"O",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"B-rank",
"B-sector_name",
"O",
"O",
"O"
] | wm_stock_metrics | i need to see the lei for the top three comm sector companies . |
76 | n/a | [
"who",
"currently",
"has",
"a",
"first-lien",
"mortgages",
"originated",
"higher",
"than",
"67",
"%"
] | [
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"B-numeric",
"I-numeric"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"B-numeric_above_name",
"O"
] | wm_stock_metrics | who currently has a first-lien mortgages originated higher than 67 % |
77 | n/a | [
"need",
"to",
"research",
"the",
"separate",
"account",
"assets",
"of",
"companies",
"with",
"a",
"pe",
"ratios",
"above",
"1.4",
"%"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"O",
"B-numeric",
"I-numeric"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] | wm_stock_metrics | need to research the separate account assets of companies with a pe ratios above 1.4 % |
78 | n/a | [
"who",
"are",
"the",
"largest",
"companies",
"focused",
"on",
"health",
"with",
"a",
"price",
"earning",
"ratio",
"under",
"$",
"212",
"billion",
"?"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-sector_name",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"B-numeric",
"I-numeric",
"O"
] | [
"O",
"O",
"O",
"B-rank",
"O",
"O",
"O",
"B-sector_name",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"B-numeric_below_name",
"I-numeric_below_name",
"O"
] | wm_stock_metrics | who are the largest companies focused on health with a price earning ratio under $ 212 billion ? |
79 | n/a | [
"i",
"am",
"needing",
"the",
"tev",
"of",
"the",
"top",
"24",
"companies",
"in",
"india",
"."
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"B-rank",
"O",
"O",
"B-location_inside_name",
"O"
] | wm_stock_metrics | i am needing the tev of the top 24 companies in india . |
80 | n/a | [
"within",
"Ethiopia",
",",
"what",
"is",
"the",
"base",
"rents/",
"rental",
"revenue",
"of",
"the",
"top",
"paper",
"containers",
"companies",
"?"
] | [
"O",
"B-location_inside_name",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-sector_name",
"I-sector_name",
"O",
"O"
] | [
"O",
"B-location_inside_name",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-sector_name",
"I-sector_name",
"O",
"O"
] | wm_stock_metrics | within Ethiopia , what is the base rents/ rental revenue of the top paper containers companies ? |
81 | n/a | [
"tell",
"me",
"about",
"the",
"capital",
"expenditure",
"of",
"the",
"top",
"20",
"companies",
"in",
"Trinidad",
"in",
"."
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O",
"O"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-rank",
"O",
"O",
"B-location_inside_name",
"O",
"O"
] | wm_stock_metrics | tell me about the capital expenditure of the top 20 companies in Trinidad in . |
82 | n/a | [
"find",
"the",
"q2",
"forward",
"price",
"to",
"earnings",
"and",
"retail",
"revenues",
"for",
"each",
"company",
"in",
"Honduras",
"."
] | [
"O",
"O",
"B-date_metric",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"B-date_metric",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | wm_stock_metrics | find the q2 forward price to earnings and retail revenues for each company in Honduras . |
83 | n/a | [
"show",
"me",
"all",
"comunications",
"companies",
"with",
"a",
"cost",
"trend",
"rate",
"higher",
"than",
"100",
"thousand"
] | [
"O",
"O",
"O",
"B-sector_name",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"B-numeric",
"I-numeric"
] | [
"O",
"O",
"O",
"B-sector_name",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"B-numeric_above_name",
"I-numeric_above_name"
] | wm_stock_metrics | show me all comunications companies with a cost trend rate higher than 100 thousand |
84 | n/a | [
"find",
"the",
"total",
"gross",
"productive",
"wells",
"for",
"companies",
"located",
"in",
"Malaysia",
"for",
"q1",
"2019",
"."
] | [
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O",
"B-date_metric",
"I-date_metric",
"O"
] | [
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O",
"B-date_metric",
"I-date_metric",
"O"
] | wm_stock_metrics | find the total gross productive wells for companies located in Malaysia for q1 2019 . |
85 | n/a | [
"list",
"all",
"the",
"companies",
"with",
"a",
"roe",
"of",
"at",
"least",
"$",
"6",
"thousand",
"in",
"2019"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"O",
"O",
"O",
"O",
"B-numeric",
"I-numeric",
"O",
"B-date_metric"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-numeric_above_name",
"O",
"O",
"B-date_metric"
] | wm_stock_metrics | list all the companies with a roe of at least $ 6 thousand in 2019 |
86 | n/a | [
"i",
"need",
"to",
"know",
"the",
"share",
"capital",
"of",
"the",
"top",
"4",
"companies",
"in",
"Bosnia",
"."
] | [
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-numeric_above_name",
"O",
"O",
"B-location_inside_name",
"O"
] | wm_stock_metrics | i need to know the share capital of the top 4 companies in Bosnia . |
87 | n/a | [
"what",
"is",
"the",
"ebitda/",
"pre-tax",
"earnings",
"of",
"the",
"top",
"ten",
"energy",
"sector",
"companies",
"in",
"the",
"states",
"?"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"B-sector_name",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"B-sector_name",
"O",
"O",
"O",
"B-location_inside_name",
"I-location_inside_name",
"O"
] | wm_stock_metrics | what is the ebitda/ pre-tax earnings of the top ten energy sector companies in the states ? |
88 | n/a | [
"tell",
"me",
"more",
"information",
"about",
"the",
"top",
"twenty",
"companies",
"with",
"interest",
"rate",
"decrease",
"that",
"have",
"a",
"noncontrolling",
"interest",
"over",
"$",
"11",
"million",
"."
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"B-filter_metric_name",
"I-filter_metric_name",
"O",
"O",
"B-numeric",
"I-numeric",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-numeric_above_name",
"O",
"O"
] | wm_stock_metrics | tell me more information about the top twenty companies with interest rate decrease that have a noncontrolling interest over $ 11 million . |
89 | n/a | [
"where",
"can",
"i",
"look",
"to",
"find",
"the",
"ebitdas",
"for",
"the",
"top",
"communication",
"companies",
"?"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"B-sector_name",
"O",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"B-sector_name",
"O",
"O"
] | wm_stock_metrics | where can i look to find the ebitdas for the top communication companies ? |
90 | n/a | [
"roae",
"of",
"broadcasting",
"companies"
] | [
"B-target_metric_name",
"O",
"B-sector_name",
"O"
] | [
"B-target_metric_name",
"O",
"B-sector_name",
"O"
] | wm_stock_metrics | roae of broadcasting companies |
91 | n/a | [
"how",
"many",
"companies",
"are",
"in",
"Montenegro",
"and",
"also",
"in",
"the",
"industrial",
"sector",
"sector"
] | [
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O",
"O",
"O",
"O",
"B-sector_name",
"O",
"O"
] | [
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"B-location_inside_name",
"O",
"O",
"O",
"O",
"B-sector_name",
"I-sector_name",
"O"
] | wm_stock_metrics | how many companies are in Montenegro and also in the industrial sector sector |
92 | n/a | [
"how",
"can",
"i",
"see",
"partnership",
"net",
"revaluation",
"for",
"discretionary",
"sector",
"companies",
"?"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"B-sector_name",
"O",
"O",
"O"
] | [
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"B-sector_name",
"O",
"O",
"O"
] | wm_stock_metrics | how can i see partnership net revaluation for discretionary sector companies ? |
93 | n/a | [
"show",
"me",
"renewable",
"electricity",
"companies",
"in",
"the",
"britain",
"with",
"a",
"ltm",
"forward",
"pe",
"above",
"11",
"dollars"
] | [
"O",
"O",
"B-sector_name",
"I-sector_name",
"O",
"O",
"O",
"B-location_inside_name",
"O",
"O",
"B-date_metric",
"B-filter_metric_name",
"I-filter_metric_name",
"O",
"B-numeric",
"O"
] | [
"O",
"O",
"B-sector_name",
"O",
"O",
"O",
"O",
"B-location_outside_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-numeric_below_name",
"O"
] | wm_stock_metrics | show me renewable electricity companies in the britain with a ltm forward pe above 11 dollars |
94 | n/a | [
"get",
"me",
"the",
"shares",
"authorized",
"of",
"the",
"top",
"4",
"companies",
"in",
"european",
"union",
"."
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"I-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"O",
"O",
"B-rank",
"I-rank",
"O",
"O",
"B-location_inside_name",
"I-location_inside_name",
"O"
] | wm_stock_metrics | get me the shares authorized of the top 4 companies in european union . |
95 | n/a | [
"i",
"am",
"needing",
"you",
"to",
"get",
"me",
"total",
"enterprise",
"value/",
"oibda",
"of",
"the",
"top",
"3",
"companies",
"in",
"japan",
"."
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | wm_stock_metrics | i am needing you to get me total enterprise value/ oibda of the top 3 companies in japan . |
96 | n/a | [
"show",
"me",
"the",
"statutory",
"managed",
"care",
"assets",
"of",
"the",
"top",
"41",
"companies",
"not",
"in",
"china",
"."
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_outside_name",
"O"
] | [
"O",
"O",
"O",
"B-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"I-target_metric_name",
"O",
"O",
"B-rank",
"I-rank",
"O",
"O",
"O",
"B-location_outside_name",
"O"
] | wm_stock_metrics | show me the statutory managed care assets of the top 41 companies not in china . |
97 | n/a | [
"i",
"am",
"needing",
"you",
"to",
"get",
"me",
"marketcap",
"of",
"the",
"top",
"4",
"companies",
"in",
"Austria",
"."
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"O",
"O",
"O",
"B-location_inside_name",
"O"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-target_metric_name",
"O",
"O",
"O",
"B-rank",
"O",
"O",
"B-location_inside_name",
"O"
] | wm_stock_metrics | i am needing you to get me marketcap of the top 4 companies in Austria . |
98 | n/a | [
"how",
"many",
"companies",
"have",
"a",
"debentures",
"higher",
"than",
"45x"
] | [
"O",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"O",
"O",
"B-numeric"
] | [
"O",
"O",
"O",
"O",
"O",
"B-filter_metric_name",
"O",
"O",
"B-numeric_above_name"
] | wm_stock_metrics | how many companies have a debentures higher than 45x |
99 | n/a | [
"how",
"many",
"estates",
"companies",
"are",
"outside",
"of",
"Paraguay"
] | [
"O",
"O",
"B-sector_name",
"O",
"O",
"O",
"O",
"B-location_outside_name"
] | [
"O",
"O",
"B-sector_name",
"I-sector_name",
"O",
"O",
"O",
"B-location_outside_name"
] | wm_stock_metrics | how many estates companies are outside of Paraguay |
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