Datasets:

SpeedOfMagic
/

ontonotes_english

tokens sequence	ner_tags sequence
[ "Sunday", "the", "interview", "with", "Bob", "Shapiro", "." ]	[ 15, 0, 0, 0, 1, 2, 0 ]
[ "Newsnight", "returns", "to", "duo", "action", "tonight", "." ]	[ 31, 0, 0, 0, 0, 17, 0 ]
[ "The", "co-hosts", "are", "Kira", "Phillips", "and", "Rick", "Sanchez", "." ]	[ 0, 0, 0, 1, 2, 0, 1, 2, 0 ]
[ "that", "'s", "Rick", "on", "the", "left", "Kira", "on", "the", "right", "." ]	[ 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0 ]
[ "and", "they", "are", "in", "Atlanta", "." ]	[ 0, 0, 0, 0, 9, 0 ]
[ "Double", "trouble", "." ]	[ 0, 0, 0 ]
[ "watch", "for", "the", "dolphins", "Larry", "." ]	[ 0, 0, 0, 0, 1, 0 ]
[ "Carry", "on", "." ]	[ 0, 0, 0 ]
[ "I", "'m", "told", "this", "guy", "in", "Miami", "saving", "is", "schula-esque", "your", "friend", "." ]	[ 0, 0, 0, 0, 0, 0, 9, 0, 0, 0, 0, 0, 0 ]
[ "Yeah", "not", "this", "year", "though", "." ]	[ 0, 0, 0, 0, 0, 0 ]
[ "Well", "it", "might", "take", "a", "year", "." ]	[ 0, 0, 0, 0, 15, 16, 0 ]
[ "Good", "to", "talk", "." ]	[ 0, 0, 0, 0 ]
[ "Go", "get", "them", "." ]	[ 0, 0, 0, 0 ]
[ "Bye", "." ]	[ 0, 0 ]
[ "Alright", "." ]	[ 0, 0 ]
[ "Thanks", "Larry", "." ]	[ 0, 1, 0 ]
[ "Well", "tonight", "a", "Wal", "-", "Mart", "controversy", "." ]	[ 0, 17, 0, 7, 8, 8, 0, 0 ]
[ "Good", "evening", "I", "'m", "Kyra", "Phillips", "." ]	[ 0, 17, 0, 0, 1, 2, 0 ]
[ "And", "I", "'m", "Rick", "Sanchez", "." ]	[ 0, 0, 0, 1, 2, 0 ]
[ "Newsnight", "begins", "right", "now", "." ]	[ 31, 0, 0, 0, 0 ]
[ "Tonight", "every", "story", "has", "two", "sides", "." ]	[ 17, 0, 0, 0, 27, 0, 0 ]
[ "In", "Wal", "-", "Mart", "'s", "case", "both", "sides", "are", "being", "beamed", "onto", "big", "screens", "everywhere", "." ]	[ 0, 7, 8, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "One", "point", "three", "million", "people", "in", "America", "have", "decided", "it", "'s", "in", "their", "best", "self", "interest", "to", "work", "at", "Wal", "-", "Mart", "." ]	[ 27, 28, 28, 28, 0, 0, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0 ]
[ "Now", "are", "they", "stupid", "?" ]	[ 0, 0, 0, 0, 0 ]
[ "No", "." ]	[ 0, 0 ]
[ "I", "keep", "saying", "you", "ca", "n't", "buy", "small", "town", "quality", "of", "life", "at", "a", "Wal", "-", "Mart", "because", "they", "do", "n't", "sell", "it", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 8, 0, 0, 0, 0, 0, 0, 0 ]
[ "But", "once", "they", "steal", "it", "from", "you", "you", "ca", "n't", "get", "it", "back", "at", "any", "price", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "Attention", "shoppers", "." ]	[ 0, 0, 0 ]
[ "is", "Wal", "-", "Mart", "'s", "way", "the", "wave", "of", "the", "future", "?" ]	[ 0, 7, 8, 8, 8, 0, 0, 0, 0, 0, 0, 0 ]
[ "And", "it", "'s", "a", "case", "of", "dueling", "realities", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "A", "city", "brimming", "with", "hope", "in", "some", "places", "devoid", "of", "it", "in", "others", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "New", "Orleans", "a", "tale", "of", "two", "cities", "." ]	[ 9, 10, 0, 0, 0, 27, 0, 0 ]
[ "Also", "this", "man", "is", "a", "convicted", "murderer", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "Why", "are", "there", "so", "many", "who", "want", "his", "life", "spared", "?" ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "This", "is", "Newsnight", "." ]	[ 0, 0, 31, 0 ]
[ "And", "we", "begin", "tonight", "with", "Wal", "-", "Mart", "a", "place", "no", "doubt", "many", "of", "you", "are", "likely", "to", "shop", "." ]	[ 0, 0, 0, 17, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "When", "it", "comes", "to", "retail", "Wal", "-", "Mart", "is", "the", "biggest", "of", "the", "big", "." ]	[ 0, 0, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0 ]
[ "and", "that", "makes", "it", "a", "big", "target", "as", "well", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "Its", "corporate", "policies", "from", "buying", "cheap", "to", "selling", "cheap", "to", "providing", "jobs", "for", "tens", "of", "thousands", "of", "people", "while", "paying", "rock", "bottom", "salaries", "are", "also", "reasons", "it", "'s", "a", "big", "target", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27, 28, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "In", "fact", "right", "now", "Wal", "-", "Mart", "is", "the", "subject", "of", "not", "one", "but", "two", "documentaries", "about", "to", "be", "released", "one", "for", "one", "against", "." ]	[ 0, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 27, 0, 27, 0, 0, 0, 0, 0, 27, 0, 27, 0, 0 ]
[ "Two", "stories", "one", "giant", "store", "here", "'s", "a", "look", "." ]	[ 27, 0, 27, 0, 0, 0, 0, 0, 0, 0 ]
[ "You", "drive", "up", "all", "the", "way", "up", "to", "New", "York", "City", "on", "Route", "80", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 0, 5, 6, 0 ]
[ "and", "you", "'ll", "see", "a", "Wal", "-", "Mart", "up", "on", "the", "hill", "." ]	[ 0, 0, 0, 0, 7, 8, 8, 8, 0, 0, 0, 0, 0 ]
[ "and", "then", "you", "'ll", "drive", "farther", "into", "the", "town", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "and", "you", "'ll", "see", "uh", "an", "empty", "town", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "Just", "looks", "like", "a", "neutron", "bomb", "hit", "it", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "It", "'s", "an", "explosive", "documentary", "that", "alleges", "Wal", "-", "Mart", "has", "a", "take", "no", "prisoners", "business", "philosophy", "that", "is", "good", "for", "profits", "but", "bad", "for", "America", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9, 0 ]
[ "They", "do", "n't", "get", "it", "." ]	[ 0, 0, 0, 0, 0, 0 ]
[ "When", "we", "start", "talking", "about", "quality", "reliance", "they", "start", "talking", "about", "cheap", "underwear", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "At", "this", "point", "there", "'s", "something", "I", "should", "tell", "you", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "When", "you", "do", "a", "story", "on", "a", "film", "that", "'s", "as", "critical", "of", "a", "company", "as", "this", "one", "is", "about", "Wal", "-", "Mart", "I", "want", "to", "talk", "to", "that", "company", "Wal", "-", "Mart", "to", "get", "their", "reaction", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0 ]
[ "Wal", "-", "Mart", "is", "not", "willing", "to", "go", "on", "camera", "." ]	[ 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "But", "it", "did", "provide", "us", "with", "a", "written", "statement", "saying", "quote", "like", "any", "company", "we", "want", "to", "make", "sure", "our", "associates", "customers", "and", "local", "community", "feel", "good", "about", "us", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "Wal", "-", "Mart", "makes", "life", "better", "for", "an", "awful", "lot", "of", "people", "by", "providing", "low", "prices", "and", "good", "jobs", "to", "those", "who", "need", "them", "." ]	[ 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "However", "we", "'re", "the", "first", "to", "admit", "we", "'re", "not", "perfect", "and", "have", "worked", "hard", "to", "make", "substantive", "business", "changes", "in", "areas", "where", "we", "fall", "short", "." ]	[ 0, 0, 0, 0, 25, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "Wal", "-", "Mart", "I", "think", "does", "n't", "do", "a", "good", "enough", "job", "telling", "its", "story", "." ]	[ 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "So", "who", "is", "speaking", "up", "for", "Wal", "-", "Mart", "?" ]	[ 0, 0, 0, 0, 0, 0, 7, 8, 8, 0 ]
[ "This", "man", "." ]	[ 0, 0, 0 ]
[ "But", "uh", "Wal", "-", "Mart", "has", "closed", "some", "businesses", "down", "." ]	[ 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0 ]
[ "but", "it", "'s", "created", "others", "." ]	[ 0, 0, 0, 0, 0, 0 ]
[ "In", "fact", "/-" ]	[ 0, 0, 0 ]
[ "In", "fact", "Ron", "Galloway", "is", "not", "only", "speaking", "up", "for", "the", "retail", "giant", "." ]	[ 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "he", "'s", "also", "producing", "a", "documentary", "in", "their", "defense", "one", "that", "depicts", "Wal", "-", "Mart", "as", "an", "ingenious", "business", "plan", "that", "is", "good", "for", "America", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9, 0 ]
[ "So", "many", "people", "have", "so", "many", "negative", "things", "to", "say", "about", "it", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "but", "what", "about", "the", "positive", "things", "?" ]	[ 0, 0, 0, 0, 0, 0, 0 ]
[ "While", "Galloway", "'s", "pro-Wal-Mart", "film", "introduces", "us", "to", "grateful", "employees", "/-" ]	[ 0, 1, 0, 7, 0, 0, 0, 0, 0, 0, 0 ]
[ "Somebody", "did", "it", "for", "me", "at", "a", "time", "in", "my", "life", "when", "I", "was", "totally", "hopeless", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "the", "anti-Wal", "-", "mart", "film", "points", "out", "that", "in", "two", "thousand", "one", "according", "to", "court", "documents", "workers", "made", "on", "average", "less", "than", "fourteen", "thousand", "dollars", "a", "year", ",", "that", "Wal", "-", "Mart", "'s", "CEO", "made", "twenty", "-", "seven", "million", "dollars", "a", "year", "." ]	[ 0, 0, 7, 8, 0, 0, 0, 0, 0, 15, 16, 16, 0, 0, 0, 0, 0, 0, 0, 0, 21, 22, 22, 22, 22, 0, 0, 0, 0, 7, 8, 8, 8, 0, 0, 21, 22, 22, 22, 22, 0, 0, 0 ]
[ "It", "also", "revealed", "that", "the", "owners", "of", "Wal", "-", "Mart", "the", "Walton", "family", "has", "an", "average", "net", "worth", "at", "or", "near", "one", "hundred", "billion", "dollars", "give", "or", "take", "a", "billion", "here", "or", "there", "depending", "on", "the", "price", "of", "their", "stock", "at", "the", "time", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21, 22, 22, 22, 0, 0, 0, 27, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "Now", "as", "for", "the", "workers", "or", "associates", "as", "they", "'re", "called", "by", "Wal", "-", "Mart", "their", "average", "salary", "is", "below", "what", "the", "government", "considers", "the", "federal", "poverty", "line", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "There", "were", "people", "I", "'d", "see", "that", "did", "n't", "eat", "nothing", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "they", "'d", "take", "an", "hour", "lunch", "and", "just", "sit", "there", "." ]	[ 0, 0, 0, 0, 17, 0, 0, 0, 0, 0, 0 ]
[ "This", "young", "mother", "that", "I", "talked", "to", "in", "LA", "was", "on", "Medi", "-", "Cal", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 9, 0, 0, 7, 8, 8, 0 ]
[ "she", "got", "on", "the", "Wal", "-", "Mart", "plan", "." ]	[ 0, 0, 0, 0, 7, 8, 8, 0, 0 ]
[ "she", "saw", "a", "doctor", "for", "the", "first", "time", "." ]	[ 0, 0, 0, 0, 0, 0, 25, 0, 0 ]
[ "The", "anti-Wal-Mart", "film", "depicts", "Wal", "-", "Mart", "as", "consumed", "with", "keeping", "wages", "and", "benefits", "down", "and", "unions", "out", "by", "flying", "in", "executives", "and", "installing", "cameras", "to", "monitor", "employees", "as", "soon", "as", "there", "'s", "a", "hint", "that", "workers", "may", "be", "organizing", "." ]	[ 0, 7, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "The", "retail", "giant", "gets", "most", "of", "its", "merchandise", "from", "outside", "the", "United", "States", "in", "places", "like", "Honduras", "and", "Bangladesh", "where", "according", "to", "the", "film", "workers", "make", "as", "little", "as", "fifteen", "cents", "an", "hour", "and", "work", "seven", "days", "a", "week", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 0, 0, 0, 9, 0, 9, 0, 0, 0, 0, 0, 0, 0, 21, 22, 22, 22, 22, 0, 0, 0, 0, 15, 16, 0, 0, 0 ]
[ "but", "by", "far", "the", "largest", "provider", "of", "goods", "to", "Wal", "-", "Mart", "is", "China", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 9, 0 ]
[ "How", "much", "does", "Wal", "-", "Mart", "depend", "on", "China", "?" ]	[ 0, 0, 0, 7, 8, 8, 0, 0, 9, 0 ]
[ "Company", "officials", "announced", "that", "in", "two", "thousand", "four", "they", "imported", "more", "than", "eighteen", "billion", "dollars", "in", "goods", "from", "the", "People", "'s", "Republic", "." ]	[ 0, 0, 0, 0, 0, 15, 16, 16, 0, 0, 21, 22, 22, 22, 22, 0, 0, 0, 9, 10, 10, 10, 0 ]
[ "I", "think", "Wal", "-", "Mart", "is", "a", "straw", "man", "for", "a", "set", "of", "issues", "that", "a", "certain", "group", "of", "people", "special", "interests", "groups", "have", "to", "deal", "with", "in", "American", "society", "." ]	[ 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0 ]
[ "Now", "this", "is", "important", "." ]	[ 0, 0, 0, 0, 0 ]
[ "Officials", "making", "the", "anti", "uh", "Wal", "-", "Mart", "film", "say", "the", "film", "is", "not", "paid", "for", "with", "union", "dues", "." ]	[ 0, 0, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "We", "asked", "." ]	[ 0, 0, 0 ]
[ "Also", "Galloway", "making", "the", "pro-Wal-Mart", "film", "tells", "me", "that", "he", "'s", "received", "no", "money", "and", "little", "support", "in", "fact", "from", "Wal", "-", "Mart", "itself", "." ]	[ 0, 1, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 8, 8, 0, 0 ]
[ "In", "fact", "Wal", "-", "Mart", "has", "no", "plans", "at", "this", "time", "to", "even", "carry", "his", "video", "in", "the", "stores", "." ]	[ 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "Kyra", "?" ]	[ 1, 0 ]
[ "Well", "whatever", "it", "does", "Wal", "-", "Mart", "always", "seems", "to", "be", "under", "a", "microscope", "." ]	[ 0, 0, 0, 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "Why", "?" ]	[ 0, 0 ]
[ "Because", "a", "company", "that", "big", "that", "profitable", "is", "often", "imitated", "by", "other", "companies", "and", "that", "may", "well", "affect", "your", "benefits", "and", "your", "career", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "Take", "health", "care", "for", "example", "." ]	[ 0, 0, 0, 0, 0, 0 ]
[ "A", "Wal", "-", "Mart", "internal", "memo", "recently", "leaked", "spelled", "out", "just", "how", "far", "the", "retail", "giant", "may", "be", "willing", "to", "go", "to", "keep", "its", "health", "costs", "low", "." ]	[ 0, 7, 8, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "The", "question", "is", "will", "other", "companies", "follow", "suit", "and", "how", "might", "that", "affect", "you", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "Here", "'s", "CNN", "'s", "Tom", "Foreman", "." ]	[ 0, 0, 7, 0, 1, 2, 0 ]
[ "Out", "in", "the", "morning", "rush", "of", "Washington", "DC", "like", "six", "out", "of", "ten", "Americans", "Tim", "Kane", "gets", "health", "insurance", "through", "his", "job", "." ]	[ 0, 0, 0, 17, 0, 0, 9, 10, 0, 27, 0, 0, 27, 3, 1, 2, 0, 0, 0, 0, 0, 0, 0 ]
[ "I", "think", "my", "hands", "are", "tied", "." ]	[ 0, 0, 0, 0, 0, 0, 0 ]
[ "I", "have", "to", "go", "through", "my", "employers", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "But", "as", "an", "economist", "at", "the", "conservative", "Heritage", "foundation", "Tim", "supports", "an", "idea", "that", "might", "put", "other", "commuters", "into", "shock", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "Workplace", "health", "plans", "can", "be", "should", "be", "and", "may", "be", "going", "away", "." ]	[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ "Americans", "should", "understand", "that", "they", "would", "be", "much", "better", "off", "if", "businesses", "were", "n't", "providing", "them", "health", "care", "if", "they", "could", "buy", "it", "on", "the", "free", "market", "cheaply", "." ]	[ 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]

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Dataset Card for ontonotes_english

Dataset Summary

This is preprocessed version of what I assume is OntoNotes v5.0.

Instead of having sentences stored in files, files are unpacked and sentences are the rows now. Also, fields were renamed in order to match conll2003.

The source of data is from private repository, which in turn got data from another public repository, location of which is unknown :)

Since data from all repositories had no license (creator of the private repository told me so), there should be no licensing issues. But bear in mind, I don't give any guarantees that this is real OntoNotes, and may differ as a result.

Supported Tasks and Leaderboards

Languages

English

Dataset Structure

Data Instances

{
    'tokens': ['Well', ',', 'the', 'Hundred', 'Regiments', 'Offensive', 'was', 'divided', 'into', 'three', 'phases', '.'],
    'ner_tags': [0, 0, 29, 30, 30, 30, 0, 0, 0, 27, 0, 0]
}

Data Fields

tokens (List[str]) : words in original dataset
ner_tags (List[ClassLabel]) : named_entities in original dataset. The BIO tags for named entities in the sentence.
- tag set : datasets.ClassLabel(num_classes=37, names=["O", "B-PERSON", "I-PERSON", "B-NORP", "I-NORP", "B-FAC", "I-FAC", "B-ORG", "I-ORG", "B-GPE", "I-GPE", "B-LOC", "I-LOC", "B-PRODUCT", "I-PRODUCT", "B-DATE", "I-DATE", "B-TIME", "I-TIME", "B-PERCENT", "I-PERCENT", "B-MONEY", "I-MONEY", "B-QUANTITY", "I-QUANTITY", "B-ORDINAL", "I-ORDINAL", "B-CARDINAL", "I-CARDINAL", "B-EVENT", "I-EVENT", "B-WORK_OF_ART", "I-WORK_OF_ART", "B-LAW", "I-LAW", "B-LANGUAGE", "I-LANGUAGE",])

Data Splits

train, validation, and test

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

No license

Citation Information

@inproceedings{pradhan-etal-2013-towards,
    title = "Towards Robust Linguistic Analysis using {O}nto{N}otes",
    author = {Pradhan, Sameer  and
      Moschitti, Alessandro  and
      Xue, Nianwen  and
      Ng, Hwee Tou  and
      Bj{\"o}rkelund, Anders  and
      Uryupina, Olga  and
      Zhang, Yuchen  and
      Zhong, Zhi},
    booktitle = "Proceedings of the Seventeenth Conference on Computational Natural Language Learning",
    month = aug,
    year = "2013",
    address = "Sofia, Bulgaria",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W13-3516",
    pages = "143--152",
}