Datasets:
m-aliabbas1
/
no_of_employee_ner

Dataset card Viewer Files Community
tokens
sequence
ner_tags
sequence
[ "We", "have", "19", "dedicated", "employees." ]
[ "O", "O", "B-number_of_employees", "O", "O" ]
[ "There", "are", "33", "professionals", "in", "our", "organization." ]
[ "O", "O", "B-number_of_employees", "O", "O", "O", "O" ]
[ "I", "manage", "a", "team", "of", "20", "employees." ]
[ "O", "O", "O", "O", "O", "B-number_of_employees", "O" ]
[ "Our", "company", "employs", "80", "staff." ]
[ "O", "O", "O", "B-number_of_employees", "O" ]
[ "We", "have", "9", "team", "members", "on", "board." ]
[ "O", "O", "B-number_of_employees", "O", "O", "O", "O" ]
[ "Our", "workforce", "consists", "of", "49", "people." ]
[ "O", "O", "O", "O", "B-number_of_employees", "O" ]
[ "Currently,", "I", "have", "13", "employees." ]
[ "O", "O", "O", "B-number_of_employees", "O" ]
[ "There", "are", "14", "staff", "members", "in", "our", "department." ]
[ "O", "O", "B-number_of_employees", "O", "O", "O", "O", "O" ]
[ "I've", "got", "60", "people", "on", "the", "payroll." ]
[ "O", "O", "B-number_of_employees", "O", "O", "O", "O" ]
[ "The", "number", "of", "employees", "in", "my", "firm", "is", "55" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "B-number_of_employees" ]
[ "We're", "a", "big", "operation", "with", "400", "staff." ]
[ "O", "O", "O", "O", "O", "B-number_of_employees", "O" ]
[ "I", "employ", "16", "individuals." ]
[ "O", "O", "B-number_of_employees", "O" ]
[ "Our", "company", "is", "made", "up", "of", "8", "full-time", "employees" ]
[ "O", "O", "O", "O", "O", "O", "B-number_of_employees", "I-number_of_employees", "I-number_of_employees" ]
[ "The", "total", "employee", "count", "is", "64" ]
[ "O", "O", "O", "O", "O", "B-number_of_employees" ]
[ "We", "are", "a", "team", "of", "42" ]
[ "O", "O", "O", "O", "O", "B-number_of_employees" ]
[ "I", "manage", "9", "people." ]
[ "O", "O", "B-number_of_employees", "O" ]
[ "75", "staff", "work", "under", "me." ]
[ "B-number_of_employees", "O", "O", "O", "O" ]
[ "My", "department", "has", "7", "employees." ]
[ "O", "O", "O", "B-number_of_employees", "O" ]
[ "Our", "startup", "just", "hit", "23", "team", "members." ]
[ "O", "O", "O", "O", "B-number_of_employees", "O", "O" ]
[ "I", "run", "a", "business", "with", "37", "workers." ]
[ "O", "O", "O", "O", "O", "B-number_of_employees", "O" ]
[ "We", "have", "59", "engineers", "and", "other", "staff", "combined." ]
[ "O", "O", "B-number_of_employees", "O", "O", "O", "O", "O" ]
[ "I", "have", "seventy-five", "fine", "workers." ]
[ "O", "O", "B-number_of_employees", "O", "O" ]
[ "two", "hundred", "and", "ten", "people", "are", "part", "of", "our", "organization." ]
[ "B-number_of_employees", "I-number_of_employees", "I-number_of_employees", "I-number_of_employees", "O", "O", "O", "O", "O", "O" ]
[ "There", "are", "15", "employees", "currently", "working", "here." ]
[ "O", "O", "B-number_of_employees", "O", "O", "O", "O" ]
[ "We", "have", "a", "total", "of", "95", "staff", "members." ]
[ "O", "O", "O", "O", "O", "B-number_of_employees", "O", "O" ]
[ "Our", "team", "consists", "of", "28", "individuals." ]
[ "O", "O", "O", "O", "B-number_of_employees", "O" ]
[ "I", "oversee", "27", "employees." ]
[ "O", "O", "B-number_of_employees", "O" ]
[ "We", "employ", "105", "people", "in", "our", "company." ]
[ "O", "O", "B-number_of_employees", "O", "O", "O", "O" ]
[ "Our", "workforce", "comprises", "seven", "staff", "members." ]
[ "O", "O", "O", "B-number_of_employees", "O", "O" ]
[ "I", "lead", "a", "team", "of", "5", "team", "members." ]
[ "O", "O", "O", "O", "O", "B-number_of_employees", "O", "O" ]
[ "Our", "employee", "count", "is", "340", "strong." ]
[ "O", "O", "O", "O", "B-number_of_employees", "O" ]
[ "We", "have", "20", "dedicated", "employees." ]
[ "O", "O", "B-number_of_employees", "O", "O" ]
[ "There", "are", "3", "professionals", "in", "our", "organization." ]
[ "O", "O", "B-number_of_employees", "O", "O", "O", "O" ]
[ "I", "manage", "a", "team", "of", "19", "employees." ]
[ "O", "O", "O", "O", "O", "B-number_of_employees", "O" ]
[ "We", "have", "eighty-two", "people", "on", "our", "team." ]
[ "O", "O", "B-number_of_employees", "O", "O", "O", "O" ]
[ "Currently,", "I", "have", "sixty-nine", "employees." ]
[ "O", "O", "O", "B-number_of_employees", "O" ]
[ "Our", "workforce", "is", "about", "seventy-three" ]
[ "O", "O", "O", "O", "B-number_of_employees" ]
[ "There", "are", "eight", "employees", "in", "my", "department." ]
[ "O", "O", "B-number_of_employees", "O", "O", "O", "O" ]
[ "I've", "got", "nine", "people", "on", "the", "payroll." ]
[ "O", "O", "B-number_of_employees", "O", "O", "O", "O" ]
[ "The", "number", "of", "employees", "in", "my", "firm", "is", "ten" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "B-number_of_employees" ]
[ "We", "have", "ninety-four", "staff", "members." ]
[ "O", "O", "B-number_of_employees", "O", "O" ]
[ "Our", "team", "consists", "of", "twenty-seven", "individuals." ]
[ "O", "O", "O", "O", "B-number_of_employees", "O" ]
[ "I", "manage", "sixteen", "people." ]
[ "O", "O", "B-number_of_employees", "O" ]
[ "fivety", "staff", "work", "under", "me." ]
[ "B-number_of_employees", "O", "O", "O", "O" ]
[ "My", "department", "has", "thirteen", "employees." ]
[ "O", "O", "O", "B-number_of_employees", "O" ]
[ "We", "employ", "four", "people", "in", "our", "company." ]
[ "O", "O", "B-number_of_employees", "O", "O", "O", "O" ]
[ "Our", "employee", "count", "is", "three", "strong." ]
[ "O", "O", "O", "O", "B-number_of_employees", "O" ]
[ "There", "are", "six", "dedicated", "employees." ]
[ "O", "O", "B-number_of_employees", "O", "O" ]
[ "I", "manage", "a", "team", "of", "seven", "employees." ]
[ "O", "O", "O", "O", "O", "B-number_of_employees", "O" ]
[ "Our", "company", "employs", "forty-five", "staff." ]
[ "O", "O", "O", "B-number_of_employees", "O" ]
[ "We", "have", "seventeen", "team", "members", "on", "board." ]
[ "O", "O", "B-number_of_employees", "O", "O", "O", "O" ]
[ "fivety" ]
[ "B-number_of_employees" ]
[ "five" ]
[ "B-number_of_employees" ]