id
int64
0
2k
tokens
sequence
ner_tags
sequence
0
[ "Judging", "from", "previous", "posts", "this", "used", "to", "be", "a", "good", "place", ",", "but", "not", "any", "longer." ]
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1
[ "We,", "there", "were", "four", "of", "us,", "arrived", "at", "noon", "-", "the", "place", "was", "empty", "-", "and", "the", "staff", "acted", "like", "we", "were", "imposing", "on", "them", "and", "they", "were", "very", "rude." ]
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2
[ "They", "never", "brought", "us", "complimentary", "noodles,", "ignored", "repeated", "requests", "for", "sugar,", "and", "threw", "our", "dishes", "on", "the", "table." ]
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3
[ "The", "food", "was", "lousy", "-", "too", "sweet", "or", "too", "salty", "and", "the", "portions", "tiny." ]
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4
[ "After", "all", "that,", "they", "complained", "to", "me", "about", "the", "small", "tip." ]
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5
[ "Avoid", "this", "place", "!" ]
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6
[ "I", "have", "eaten", "at", "Saul,", "many", "times,", "the", "food", "is", "always", "consistently,", "outrageously", "good." ]
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7
[ "Saul", "is", "the", "best", "restaurant", "on", "Smith", "Street", "and", "in", "Brooklyn." ]
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8
[ "The", "duck", "confit", "is", "always", "amazing", "and", "the", "foie", "gras", "terrine", "with", "figs", "was", "out", "of", "this", "world." ]
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9
[ "The", "wine", "list", "is", "interesting", "and", "has", "many", "good", "values." ]
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10
[ "For", "the", "price,", "you", "cannot", "eat", "this", "well", "in", "Manhattan." ]
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11
[ "I", "was", "very", "disappointed", "with", "this", "restaurant", "." ]
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12
[ "Ive", "asked", "a", "cart", "attendant", "for", "a", "lotus", "leaf", "wrapped", "rice", "and", "she", "replied", "back", "rice", "and", "just", "walked", "away." ]
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13
[ "I", "had", "to", "ask", "her", "three", "times", "before", "she", "finally", "came", "back", "with", "the", "dish", "Ive", "requested." ]
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14
[ "Food", "was", "okay,", "nothing", "great." ]
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15
[ "Chow", "fun", "was", "dry;", "pork", "shu", "mai", "was", "more", "than", "usually", "greasy", "and", "had", "to", "share", "a", "table", "with", "loud", "and", "rude", "family." ]
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16
[ "I/we", "will", "never", "go", "back", "to", "this", "place", "again." ]
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17
[ "Went", "on", "a", "3", "day", "oyster", "binge,", "with", "Fish", "bringing", "up", "the", "closing,", "and", "I", "am", "so", "glad", "this", "was", "the", "place", "it", "O", "trip", "ended,", "because", "it", "was", "so", "great!" ]
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18
[ "Service", "was", "devine,", "oysters", "where", "a", "sensual", "as", "they", "come,", "and", "the", "price", "can't", "be", "beat!!!" ]
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19
[ "You", "can't", "go", "wrong", "here." ]
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20
[ "Every", "time", "in", "New", "York", "I", "make", "it", "a", "point", "to", "visit", "Restaurant", "Saul", "on", "Smith", "Street." ]
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21
[ "Everything", "is", "always", "cooked", "to", "perfection,", "the", "service", "is", "excellent,", "the", "decor", "cool", "and", "understated." ]
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22
[ "I", "had", "the", "duck", "breast", "special", "on", "my", "last", "visit", "and", "it", "was", "incredible." ]
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23
[ "Can't", "wait", "wait", "for", "my", "next", "visit." ]
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24
[ "I", "had", "my", "eyes", "on", "this", "place,", "promising", "myself", "I", "will", "one", "day", "'give", "it", "a", "try.'" ]
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25
[ "And", "I", "hate", "to", "say", "this", "but", "I", "doubt", "I'll", "ever", "go", "back." ]
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26
[ "The", "food", "is", "very", "average...the", "Thai", "fusion", "stuff", "is", "a", "bit", "too", "sweet,", "every", "thing", "they", "serve", "is", "too", "sweet", "here." ]
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27
[ "The", "only", "thing", "I", "moderately", "enjoyed", "was", "their", "Grilled", "Chicken", "special", "with", "Edamame", "Puree", "." ]
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28
[ "I", "had", "never", "had", "Edamame", "pureed", "before", "but", "I", "thought", "it", "was", "innovative", "and", "tasty", "(could've", "used", "a", "bit", "more", "salt)." ]
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29
[ "Anyways,", "if", "you're", "in", "the", "neighborhood", "to", "eat", "good", "food,", "I", "wouldn't", "waste", "my", "time", "trying", "to", "find", "something,", "rather", "go", "across", "the", "street", "to", "Tamari." ]
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30
[ "The", "decor", "is", "night", "tho...but", "they", "REALLY", "need", "to", "clean", "that", "vent", "in", "the", "ceiling...its", "quite", "un-appetizing,", "and", "kills", "your", "effort", "to", "make", "this", "place", "look", "sleek", "and", "modern." ]
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31
[ "We", "ate", "outside", "at", "Haru's", "Sake", "bar", "because", "Haru's", "restaurant", "next", "door", "was", "overflowing." ]
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32
[ "What's", "the", "difference", "between", "the", "two?" ]
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33
[ "Their", "sake", "list", "was", "extensive,", "but", "we", "were", "looking", "for", "Purple", "Haze,", "which", "wasn't", "listed", "but", "made", "for", "us", "upon", "request!" ]
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34
[ "The", "spicy", "tuna", "roll", "was", "unusually", "good", "and", "the", "rock", "shrimp", "tempura", "was", "awesome,", "great", "appetizer", "to", "share!" ]
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35
[ "We", "went", "around", "9:30", "on", "a", "Friday", "and", "it", "had", "died", "down", "a", "bit", "by", "then", "so", "the", "service", "was", "great!" ]
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36
[ "we", "love", "th", "pink", "pony", "." ]
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37
[ "THe", "perfect", "spot", "." ]
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38
[ "Food", "-awesome." ]
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39
[ "Service", "-", "friendly", "and", "attentive." ]
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40
[ "Ambiance", "-", "relaxed", "and", "stylish." ]
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41
[ "Don't", "judge", "this", "place", "prima", "facie,", "you", "have", "to", "try", "it", "to", "believe", "it,", "a", "home", "away", "from", "home", "for", "the", "literate", "heart." ]
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42
[ "i", "have", "eaten", "here", "a", "handful", "of", "times,", "for", "no", "reason", "besides", "sheer", "convenience." ]
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43
[ "(i", "hang", "out,", "and", "live,", "in", "the", "neighborhood..)" ]
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44
[ "the", "food", "is", "decent." ]
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45
[ "however,", "it's", "the", "service", "that", "leaves", "a", "bad", "taste", "in", "my", "mouth." ]
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46
[ "i", "happen", "to", "have", "a", "policy", "that", "goes", "along", "with", "a", "little", "bit", "of", "self-respect,", "which", "includes", "not", "letting", "a", "waiter", "intimidate", "me,", "i.e.", "make", "me", "feel", "bad", "asking", "for", "trivialities", "like", "water,", "or", "the", "check." ]
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47
[ "i", "know,", "you", "were", "too", "busy", "showing", "off", "your", "vintage", "tee", "shirt", "and", "looking", "bored,", "but", "my", "agenda", "is", "i'm", "here", "to", "eat", "and", "enjoy", "the", "company", "of", "friends,", "seeking", "a", "pleasant", "experience." ]
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48
[ "well,", "i", "didn't", "find", "it", "there,", "and", "trust,", "i", "have", "told", "everyone", "i", "can", "think", "of", "about", "my", "experience." ]
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49
[ "the", "last", "time", "i", "walked", "by", "it", "looked", "pretty", "empty.", "hmmm." ]
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50
[ "This", "place", "has", "got", "to", "be", "the", "best", "japanese", "restaurant", "in", "the", "new", "york", "area." ]
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51
[ "I", "had", "a", "great", "experience." ]
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52
[ "Food", "is", "great." ]
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53
[ "Service", "is", "top", "notch." ]
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54
[ "I", "have", "been", "going", "back", "again", "and", "again." ]
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55
[ "I", "tend", "to", "judge", "a", "sushi", "restaurant", "by", "its", "sea", "urchin", ",", "which", "was", "heavenly", "at", "sushi", "rose." ]
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56
[ "It", "melted", "in", "my", "little", "mouth", "and", "the", "perfect", "consistency-not", "too", "fishy,", "creamy,", "and", "slightly", "buttery." ]
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57
[ "The", "sushi", "seemed", "pretty", "fresh", "and", "was", "adequately", "proportioned." ]
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58
[ "The", "rice", "to", "fish", "ration", "was", "also", "good--they", "didn't", "try", "to", "overpack", "the", "rice." ]
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59
[ "We", "took", "advanatage", "of", "the", "half", "price", "sushi", "deal", "on", "saturday", "so", "it", "was", "well", "worth", "it." ]
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60
[ "I", "went", "to", "this", "restaurant", "with", "a", "woman", "that", "I", "met", "recently." ]
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61
[ "She", "lives", "nearby", "but", "had", "never", "gone", "to", "this", "establishment", "thinking", "that", "it", "might", "be", "too", "touristy." ]
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62
[ "Surprisingly", "nothing", "could", "be", "further", "from", "the", "truth." ]
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63
[ "In", "the", "evening,", "this", "place", "attracted", "a", "well", "dressed,", "with", "it,", "NY", "crowd", "." ]
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64
[ "The", "food", "was", "well", "prepared", "and", "the", "service", "impecable." ]
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65
[ "I'm", "going", "back." ]
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66
[ "Having", "hunted", "around", "for", "a", "quiet,", "romantic,", "yet", "not", "hideously", "expensive", "restaurant", "I", "stumbled", "across", "reviews", "for", "La", "Lanterna", "and", "gave", "it", "a", "shot." ]
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67
[ "Quite", "simply", "it's", "like", "stepping", "out", "of", "Manhattan", "and", "into", "a", "haven", "of", "tranquility." ]
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68
[ "The", "service", "was", "attentive,", "yet", "unimposing,", "the", "food", "was", "far", "better", "than", "many", "notorious", "restaurants", "in", "Midtown", "and", "the", "wine", "list", "is", "extensive", "and", "well", "priced." ]
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69
[ "The", "Prix", "Fixe", "menu", "is", "worth", "every", "penny", "and", "you", "get", "more", "than", "enough", "(both", "in", "quantity", "AND", "quality)." ]
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70
[ "I", "will", "be", "going", "back", "and", "heartily", "recommend", "it!" ]
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71
[ "I've", "had", "the", "lunch", "buffet", "at", "Chennai", "a", "couple", "of", "times,", "when", "I", "have", "been", "in", "the", "neighborhood." ]
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72
[ "It", "is", "terrific,", "as", "is", "the", "value." ]
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73
[ "$6", "and", "there", "is", "much", "tasty", "food", ",", "all", "of", "it", "fresh", "and", "continually", "refilled." ]
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74
[ "I", "am", "not", "a", "vegetarian", "but,", "almost", "all", "the", "dishes", "were", "great." ]
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75
[ "Frankly,", "when", "you", "compare", "what", "you", "can", "have", "here", "for", "lunch,", "versus", "McDs", "or", "so", "many", "other", "sandwich", "shops", "in", "the", "city,", "there", "is", "no", "comparison." ]
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76
[ "Go", "hungry", "and", "enjoy." ]
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77
[ "The", "food", "here", "is", "rather", "good,", "but", "only", "if", "you", "like", "to", "wait", "for", "it." ]
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78
[ "I", "like", "the", "somosas", ",", "chai", ",", "and", "the", "chole", ",", "but", "the", "dhosas", "and", "dhal", "were", "kinda", "dissapointing." ]
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79
[ "The", "service", "varys", "from", "day", "to", "day-", "sometimes", "they're", "very", "nice,", "and", "sometimes", "not." ]
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80
[ "The", "kitchen", "however,", "is", "almost", "always", "slow." ]
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81
[ "Also,", "specify", "if", "you", "like", "your", "food", "spicy-", "its", "rather", "bland", "if", "you", "don't." ]
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82
[ "The", "ambience", "is", "pretty", "and", "nice", "for", "conversation,", "so", "a", "casual", "lunch", "here", "would", "probably", "be", "best." ]
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83
[ "Just", "went", "here", "for", "my", "girlfriends", "23rd", "bday." ]
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84
[ "If", "you've", "ever", "been", "along", "the", "river", "in", "Weehawken", "you", "have", "an", "idea", "of", "the", "top", "of", "view", "the", "chart", "house", "has", "to", "offer." ]
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85
[ "Add", "to", "that", "great", "service", "and", "great", "food", "at", "a", "reasonable", "price", "and", "you", "have", "yourself", "the", "beginning", "of", "a", "great", "evening." ]
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86
[ "The", "lava", "cake", "dessert", "was", "incredible", "and", "I", "recommend", "it." ]
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87
[ "Once", "you", "step", "into", "Cosette", ",", "you're", "miraculously", "in", "a", "small,", "off-the-beaten", "path", "Parisian", "bistro." ]
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88
[ "This", "tiny", "restaurant", "is", "as", "cozy", "as", "it", "gets,", "with", "that", "certain", "Parisian", "flair." ]
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89
[ "The", "food", "was", "average", "to", "above-average;", "the", "French", "Onion", "soup", "filling", "yet", "not", "overly", "impressive,", "and", "the", "desserts", "not", "brilliant", "in", "any", "way." ]
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90
[ "However,", "go", "for", "the", "ambience", ",", "and", "consider", "the", "food", "just", "a", "companion", "for", "a", "trip", "across", "the", "world!" ]
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91
[ "I", "have", "never", "eaten", "in", "the", "restaurant,", "however,", "upon", "reading", "the", "reviews", "I", "got", "take", "out", "last", "week." ]
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92
[ "IT", "WAS", "HORRIBLE." ]
[ 0, 0, 0 ]
93
[ "The", "pizza", "was", "delivered", "cold", "and", "the", "cheese", "wasn't", "even", "fully", "melted!" ]
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94
[ "It", "looked", "like", "shredded", "cheese", "partly", "done", "-", "still", "in", "strips." ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
95
[ "I", "have", "eaten", "at", "many", "pizza", "places", "around", "NYC", "and", "this", "is", "hands", "down", "the", "worst." ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
96
[ "This", "has", "got", "to", "be", "one", "of", "the", "most", "overrated", "restaurants", "in", "Brooklyn." ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
97
[ "The", "pizza", "is", "overpriced", "and", "soggy." ]
[ 0, 1, 0, 0, 0, 0 ]
98
[ "Yes,", "they", "use", "fancy", "ingredients", ",", "but", "even", "fancy", "ingredients", "don't", "make", "for", "good", "pizza", "unless", "someone", "knows", "how", "to", "get", "the", "crust", "right." ]
[ 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0 ]
99
[ "A", "big", "disappointment,", "all", "around." ]
[ 0, 0, 0, 0, 0 ]

This repository contains the English 'SemEval-2014 Task 4: Aspect Based Sentiment Analysis'. translated with DeepL into Spanish, French, Russian, and Turkish. The labels have been manually projected. For more details, read this paper: Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings.

Intended Usage: Since the datasets are parallel across languages, they are ideal for evaluating annotation projection algorithms, such as T-Projection.

Label Dictionary

{
"O": 0,
"B-TARGET": 1,
"I-TARGET": 2
}

Cication

If you use this data, please cite the following papers:

@inproceedings{garcia-ferrero-etal-2022-model,
    title = "Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings",
    author = "Garc{\'\i}a-Ferrero, Iker  and
      Agerri, Rodrigo  and
      Rigau, German",
    editor = "Goldberg, Yoav  and
      Kozareva, Zornitsa  and
      Zhang, Yue",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2022",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.findings-emnlp.478",
    doi = "10.18653/v1/2022.findings-emnlp.478",
    pages = "6403--6416",
    abstract = "Zero-resource cross-lingual transfer approaches aim to apply supervised modelsfrom a source language to unlabelled target languages. In this paper we performan in-depth study of the two main techniques employed so far for cross-lingualzero-resource sequence labelling, based either on data or model transfer. Although previous research has proposed translation and annotation projection(data-based cross-lingual transfer) as an effective technique for cross-lingualsequence labelling, in this paper we experimentally demonstrate that highcapacity multilingual language models applied in a zero-shot (model-basedcross-lingual transfer) setting consistently outperform data-basedcross-lingual transfer approaches. A detailed analysis of our results suggeststhat this might be due to important differences in language use. Morespecifically, machine translation often generates a textual signal which isdifferent to what the models are exposed to when using gold standard data,which affects both the fine-tuning and evaluation processes. Our results alsoindicate that data-based cross-lingual transfer approaches remain a competitiveoption when high-capacity multilingual language models are not available.",
}

@inproceedings{pontiki-etal-2014-semeval,
    title = "{S}em{E}val-2014 Task 4: Aspect Based Sentiment Analysis",
    author = "Pontiki, Maria  and
      Galanis, Dimitris  and
      Pavlopoulos, John  and
      Papageorgiou, Harris  and
      Androutsopoulos, Ion  and
      Manandhar, Suresh",
    editor = "Nakov, Preslav  and
      Zesch, Torsten",
    booktitle = "Proceedings of the 8th International Workshop on Semantic Evaluation ({S}em{E}val 2014)",
    month = aug,
    year = "2014",
    address = "Dublin, Ireland",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/S14-2004",
    doi = "10.3115/v1/S14-2004",
    pages = "27--35",
}
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