sentence1 stringlengths 21 451 | labels stringclasses 40
values | metadata stringlengths 126 230 |
|---|---|---|
They also got my friend s order [TARGET] mixed [/TARGET] [TARGET] up [/TARGET] and wanted to charger her $ 10 more than what she had wanted . | v.cognition | {"id": "reviews-235423-0006:7,8", "lemma": "mix up", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [7, 8]} |
She [TARGET] asked [/TARGET] for the dinner combo and they gave her two dinner plates instead . | v.communication | {"id": "reviews-235423-0007:1", "lemma": "ask", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [1]} |
She asked for the [TARGET] dinner [/TARGET] combo and they gave her two dinner plates instead . | n.FOOD | {"id": "reviews-235423-0007:4", "lemma": "dinner", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [4]} |
She asked for the dinner [TARGET] combo [/TARGET] and they gave her two dinner plates instead . | n.FOOD | {"id": "reviews-235423-0007:5", "lemma": "combo", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [5]} |
She asked for the dinner combo and they [TARGET] gave [/TARGET] her two dinner plates instead . | v.possession | {"id": "reviews-235423-0007:8", "lemma": "give", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [8]} |
She asked for the dinner combo and they gave her two [TARGET] dinner [/TARGET] [TARGET] plates [/TARGET] instead . | n.ARTIFACT | {"id": "reviews-235423-0007:11,12", "lemma": "dinner plate", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [11, 12]} |
We were [TARGET] standing [/TARGET] in the store for 20 minutes to simply pick up an order . | v.stative | {"id": "reviews-235423-0008:2", "lemma": "stand", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [2]} |
We were standing in the [TARGET] store [/TARGET] for 20 minutes to simply pick up an order . | n.LOCATION | {"id": "reviews-235423-0008:5", "lemma": "store", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [5]} |
We were standing in the store for 20 [TARGET] minutes [/TARGET] to simply pick up an order . | n.TIME | {"id": "reviews-235423-0008:8", "lemma": "minute", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [8]} |
We were standing in the store for 20 minutes to simply pick up an [TARGET] order [/TARGET] . | n.FOOD | {"id": "reviews-235423-0008:14", "lemma": "order", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [14]} |
We were standing in the store for 20 minutes to simply [TARGET] pick [/TARGET] [TARGET] up [/TARGET] an order . | v.possession | {"id": "reviews-235423-0008:11,12", "lemma": "pick up", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [11, 12]} |
Not to mention that the wait staff [TARGET] was [/TARGET] about as pleasant as dealing with an angry bull . | v.stative | {"id": "reviews-235423-0009:7", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [7]} |
Not to mention that the wait staff was about as pleasant as dealing with an angry [TARGET] bull [/TARGET] . | n.ANIMAL | {"id": "reviews-235423-0009:16", "lemma": "bull", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [16]} |
Not to mention that the [TARGET] wait [/TARGET] [TARGET] staff [/TARGET] was about as pleasant as dealing with an angry bull . | n.GROUP | {"id": "reviews-235423-0009:5,6", "lemma": "wait staff", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [5, 6]} |
Not to mention that the wait staff was about as pleasant as [TARGET] dealing [/TARGET] [TARGET] with [/TARGET] an angry bull . | v.social | {"id": "reviews-235423-0009:12,13", "lemma": "deal with", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [12, 13]} |
They [TARGET] were [/TARGET] abrasive and rude - when they were the ones who messed everything up . | v.stative | {"id": "reviews-235423-0010:1", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [1]} |
They were abrasive and rude - when they [TARGET] were [/TARGET] the ones who messed everything up . | v.stative | {"id": "reviews-235423-0010:8", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [8]} |
They were abrasive and rude - when they were the [TARGET] ones [/TARGET] who messed everything up . | n.PERSON | {"id": "reviews-235423-0010:10", "lemma": "one", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [10]} |
They were abrasive and rude - when they were the ones who [TARGET] messed [/TARGET] everything [TARGET] up [/TARGET] . | v.social | {"id": "reviews-235423-0010:12,14", "lemma": "mess up", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [12, 14]} |
We had to throw out about 80 [TARGET] percent [/TARGET] of our meals because the food tasted so horrible . | n.RELATION | {"id": "reviews-235423-0011:7", "lemma": "percent", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [7]} |
We had to throw out about 80 percent of our [TARGET] meals [/TARGET] because the food tasted so horrible . | n.FOOD | {"id": "reviews-235423-0011:10", "lemma": "meal", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [10]} |
We had to throw out about 80 percent of our meals because the [TARGET] food [/TARGET] tasted so horrible . | n.FOOD | {"id": "reviews-235423-0011:13", "lemma": "food", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [13]} |
We had to throw out about 80 percent of our meals because the food [TARGET] tasted [/TARGET] so horrible . | v.perception | {"id": "reviews-235423-0011:14", "lemma": "taste", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [14]} |
We had to [TARGET] throw [/TARGET] [TARGET] out [/TARGET] about 80 percent of our meals because the food tasted so horrible . | v.consumption | {"id": "reviews-235423-0011:3,4", "lemma": "throw out", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [3, 4]} |
I do nt [TARGET] know [/TARGET] how it is possible to make orange chicken , sesame chicken and kung pao chicken as well as cheese puffs taste THAT bad but China Delight accomplished that . | v.cognition | {"id": "reviews-235423-0012:3", "lemma": "know", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [3]} |
I do nt know how it [TARGET] is [/TARGET] possible to make orange chicken , sesame chicken and kung pao chicken as well as cheese puffs taste THAT bad but China Delight accomplished that . | v.stative | {"id": "reviews-235423-0012:6", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [6]} |
I do nt know how it is possible to [TARGET] make [/TARGET] orange chicken , sesame chicken and kung pao chicken as well as cheese puffs taste THAT bad but China Delight accomplished that . | v.creation | {"id": "reviews-235423-0012:9", "lemma": "make", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [9]} |
I do nt know how it is possible to make orange chicken , [TARGET] sesame [/TARGET] chicken and kung pao chicken as well as cheese puffs taste THAT bad but China Delight accomplished that . | n.FOOD | {"id": "reviews-235423-0012:13", "lemma": "sesame", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [13]} |
I do nt know how it is possible to make orange chicken , sesame [TARGET] chicken [/TARGET] and kung pao chicken as well as cheese puffs taste THAT bad but China Delight accomplished that . | n.FOOD | {"id": "reviews-235423-0012:14", "lemma": "chicken", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [14]} |
I do nt know how it is possible to make orange chicken , sesame chicken and kung pao chicken as well as [TARGET] cheese [/TARGET] puffs taste THAT bad but China Delight accomplished that . | n.FOOD | {"id": "reviews-235423-0012:22", "lemma": "cheese", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [22]} |
I do nt know how it is possible to make orange chicken , sesame chicken and kung pao chicken as well as cheese [TARGET] puffs [/TARGET] taste THAT bad but China Delight accomplished that . | n.FOOD | {"id": "reviews-235423-0012:23", "lemma": "puff", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [23]} |
I do nt know how it is possible to make orange chicken , sesame chicken and kung pao chicken as well as cheese puffs [TARGET] taste [/TARGET] THAT bad but China Delight accomplished that . | v.perception | {"id": "reviews-235423-0012:24", "lemma": "taste", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [24]} |
I do nt know how it is possible to make orange chicken , sesame chicken and kung pao chicken as well as cheese puffs taste THAT bad but China Delight [TARGET] accomplished [/TARGET] that . | v.social | {"id": "reviews-235423-0012:30", "lemma": "accomplish", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [30]} |
I do nt know how it is possible to make [TARGET] orange [/TARGET] [TARGET] chicken [/TARGET] , sesame chicken and kung pao chicken as well as cheese puffs taste THAT bad but China Delight accomplished that . | n.FOOD | {"id": "reviews-235423-0012:10,11", "lemma": "orange chicken", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [10, 11]} |
I do nt know how it is possible to make orange chicken , sesame chicken and [TARGET] kung [/TARGET] [TARGET] pao [/TARGET] [TARGET] chicken [/TARGET] as well as cheese puffs taste THAT bad but China Delight accomplished that . | n.FOOD | {"id": "reviews-235423-0012:16,17,18", "lemma": "kung pao chicken", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [16, 17, 18]} |
I do nt know how it is possible to make orange chicken , sesame chicken and kung pao chicken as well as cheese puffs taste THAT bad but [TARGET] China [/TARGET] [TARGET] Delight [/TARGET] accomplished that . | n.GROUP | {"id": "reviews-235423-0012:28,29", "lemma": "China Delight", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [28, 29]} |
The only [TARGET] thing [/TARGET] that was edible was the steamed rice and the vegetable lo mein was barely tolerable . | n.OTHER | {"id": "reviews-235423-0013:2", "lemma": "thing", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [2]} |
The only thing that [TARGET] was [/TARGET] edible was the steamed rice and the vegetable lo mein was barely tolerable . | v.stative | {"id": "reviews-235423-0013:4", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [4]} |
The only thing that was edible [TARGET] was [/TARGET] the steamed rice and the vegetable lo mein was barely tolerable . | v.stative | {"id": "reviews-235423-0013:6", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [6]} |
The only thing that was edible was the steamed [TARGET] rice [/TARGET] and the vegetable lo mein was barely tolerable . | n.FOOD | {"id": "reviews-235423-0013:9", "lemma": "rice", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [9]} |
The only thing that was edible was the steamed rice and the [TARGET] vegetable [/TARGET] lo mein was barely tolerable . | n.FOOD | {"id": "reviews-235423-0013:12", "lemma": "vegetable", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [12]} |
The only thing that was edible was the steamed rice and the vegetable lo mein [TARGET] was [/TARGET] barely tolerable . | v.stative | {"id": "reviews-235423-0013:15", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [15]} |
The only thing that was edible was the steamed rice and the vegetable [TARGET] lo [/TARGET] [TARGET] mein [/TARGET] was barely tolerable . | n.FOOD | {"id": "reviews-235423-0013:13,14", "lemma": "lo mein", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [13, 14]} |
I will NEVER [TARGET] go [/TARGET] here again . | v.motion | {"id": "reviews-235423-0014:3", "lemma": "go", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [3]} |
Lucky Panda in [TARGET] Willis [/TARGET] is a billion times better in service and quality of the meal . | n.LOCATION | {"id": "reviews-235423-0015:3", "lemma": "Willis", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [3]} |
Lucky Panda in Willis [TARGET] is [/TARGET] a billion times better in service and quality of the meal . | v.stative | {"id": "reviews-235423-0015:4", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [4]} |
Lucky Panda in Willis is a billion [TARGET] times [/TARGET] better in service and quality of the meal . | n.QUANTITY | {"id": "reviews-235423-0015:7", "lemma": "time", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [7]} |
Lucky Panda in Willis is a billion times better in [TARGET] service [/TARGET] and quality of the meal . | n.ACT | {"id": "reviews-235423-0015:10", "lemma": "service", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [10]} |
Lucky Panda in Willis is a billion times better in service and [TARGET] quality [/TARGET] of the meal . | n.ATTRIBUTE | {"id": "reviews-235423-0015:12", "lemma": "quality", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [12]} |
Lucky Panda in Willis is a billion times better in service and quality of the [TARGET] meal [/TARGET] . | n.FOOD | {"id": "reviews-235423-0015:15", "lemma": "meal", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [15]} |
[TARGET] Lucky [/TARGET] [TARGET] Panda [/TARGET] in Willis is a billion times better in service and quality of the meal . | n.GROUP | {"id": "reviews-235423-0015:0,1", "lemma": "Lucky Panda", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [0, 1]} |
I [TARGET] have [/TARGET] no idea how China Delight won number 1 Chinese restaurant in Montgomery - There needs to be a recount on that vote . | v.stative | {"id": "reviews-235423-0016:1", "lemma": "have", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [1]} |
I have no [TARGET] idea [/TARGET] how China Delight won number 1 Chinese restaurant in Montgomery - There needs to be a recount on that vote . | n.COGNITION | {"id": "reviews-235423-0016:3", "lemma": "idea", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [3]} |
I have no idea how China Delight [TARGET] won [/TARGET] number 1 Chinese restaurant in Montgomery - There needs to be a recount on that vote . | v.stative | {"id": "reviews-235423-0016:7", "lemma": "win", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [7]} |
I have no idea how China Delight won number 1 Chinese [TARGET] restaurant [/TARGET] in Montgomery - There needs to be a recount on that vote . | n.GROUP | {"id": "reviews-235423-0016:11", "lemma": "restaurant", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [11]} |
I have no idea how China Delight won number 1 Chinese restaurant in [TARGET] Montgomery [/TARGET] - There needs to be a recount on that vote . | n.LOCATION | {"id": "reviews-235423-0016:13", "lemma": "Montgomery", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [13]} |
I have no idea how China Delight won number 1 Chinese restaurant in Montgomery - There [TARGET] needs [/TARGET] to be a recount on that vote . | v.cognition | {"id": "reviews-235423-0016:16", "lemma": "need", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [16]} |
I have no idea how China Delight won number 1 Chinese restaurant in Montgomery - There needs to [TARGET] be [/TARGET] a recount on that vote . | v.stative | {"id": "reviews-235423-0016:18", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-235423", "token_indices": [18]} |
I have no idea how China Delight won number 1 Chinese restaurant in Montgomery - There needs to be a [TARGET] recount [/TARGET] on that vote . | n.ACT | {"id": "reviews-235423-0016:20", "lemma": "recount", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [20]} |
I have no idea how China Delight won number 1 Chinese restaurant in Montgomery - There needs to be a recount on that [TARGET] vote [/TARGET] . | n.COMMUNICATION | {"id": "reviews-235423-0016:23", "lemma": "vote", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [23]} |
I have no idea how [TARGET] China [/TARGET] [TARGET] Delight [/TARGET] won number 1 Chinese restaurant in Montgomery - There needs to be a recount on that vote . | n.GROUP | {"id": "reviews-235423-0016:5,6", "lemma": "China Delight", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [5, 6]} |
I have no idea how China Delight won [TARGET] number [/TARGET] [TARGET] 1 [/TARGET] Chinese restaurant in Montgomery - There needs to be a recount on that vote . | n.RELATION | {"id": "reviews-235423-0016:8,9", "lemma": "number 1", "part_of_speech": "n", "split_group_id": "reviews-235423", "token_indices": [8, 9]} |
The Best [TARGET] Breakfast [/TARGET] in Solana Beach ! | n.FOOD | {"id": "reviews-235576-0001:2", "lemma": "breakfast", "part_of_speech": "n", "split_group_id": "reviews-235576", "token_indices": [2]} |
The Best Breakfast in [TARGET] Solana [/TARGET] [TARGET] Beach [/TARGET] ! | n.LOCATION | {"id": "reviews-235576-0001:4,5", "lemma": "Solana Beach", "part_of_speech": "n", "split_group_id": "reviews-235576", "token_indices": [4, 5]} |
We [TARGET] love [/TARGET] T 's Cafe ! | v.emotion | {"id": "reviews-235576-0002:1", "lemma": "love", "part_of_speech": "v", "split_group_id": "reviews-235576", "token_indices": [1]} |
We love [TARGET] T [/TARGET] [TARGET] 's [/TARGET] [TARGET] Cafe [/TARGET] ! | n.GROUP | {"id": "reviews-235576-0002:2,3,4", "lemma": "T 's Cafe", "part_of_speech": "n", "split_group_id": "reviews-235576", "token_indices": [2, 3, 4]} |
Without a doubt the best [TARGET] place [/TARGET] to grab a tall bloody mary and some eggs benedict . | n.GROUP | {"id": "reviews-235576-0003:5", "lemma": "place", "part_of_speech": "n", "split_group_id": "reviews-235576", "token_indices": [5]} |
Without a doubt the best place to [TARGET] grab [/TARGET] a tall bloody mary and some eggs benedict . | v.possession | {"id": "reviews-235576-0003:7", "lemma": "grab", "part_of_speech": "v", "split_group_id": "reviews-235576", "token_indices": [7]} |
Without a doubt the best place to grab a tall [TARGET] bloody [/TARGET] [TARGET] mary [/TARGET] and some eggs benedict . | n.FOOD | {"id": "reviews-235576-0003:10,11", "lemma": "bloody mary", "part_of_speech": "n", "split_group_id": "reviews-235576", "token_indices": [10, 11]} |
Without a doubt the best place to grab a tall bloody mary and some [TARGET] eggs [/TARGET] [TARGET] benedict [/TARGET] . | n.FOOD | {"id": "reviews-235576-0003:14,15", "lemma": "egg benedict", "part_of_speech": "n", "split_group_id": "reviews-235576", "token_indices": [14, 15]} |
T 's has [TARGET] been [/TARGET] a North County landmark for thirty years and with good reason . | v.stative | {"id": "reviews-235576-0004:3", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-235576", "token_indices": [3]} |
T 's has been a North County [TARGET] landmark [/TARGET] for thirty years and with good reason . | n.COGNITION | {"id": "reviews-235576-0004:7", "lemma": "landmark", "part_of_speech": "n", "split_group_id": "reviews-235576", "token_indices": [7]} |
T 's has been a North County landmark for thirty [TARGET] years [/TARGET] and with good reason . | n.TIME | {"id": "reviews-235576-0004:10", "lemma": "year", "part_of_speech": "n", "split_group_id": "reviews-235576", "token_indices": [10]} |
[TARGET] T [/TARGET] [TARGET] 's [/TARGET] has been a North County landmark for thirty years and with good reason . | n.GROUP | {"id": "reviews-235576-0004:0,1", "lemma": "T 's", "part_of_speech": "n", "split_group_id": "reviews-235576", "token_indices": [0, 1]} |
T 's has been a [TARGET] North [/TARGET] [TARGET] County [/TARGET] landmark for thirty years and with good reason . | n.LOCATION | {"id": "reviews-235576-0004:5,6", "lemma": "North County", "part_of_speech": "n", "split_group_id": "reviews-235576", "token_indices": [5, 6]} |
[TARGET] Family [/TARGET] owned and operated makes sure the atmosphere is relaxed and the food home - cooked with style . | n.GROUP | {"id": "reviews-235576-0005:0", "lemma": "family", "part_of_speech": "n", "split_group_id": "reviews-235576", "token_indices": [0]} |
Family owned and operated makes sure the [TARGET] atmosphere [/TARGET] is relaxed and the food home - cooked with style . | n.ATTRIBUTE | {"id": "reviews-235576-0005:7", "lemma": "atmosphere", "part_of_speech": "n", "split_group_id": "reviews-235576", "token_indices": [7]} |
Family owned and operated makes sure the atmosphere [TARGET] is [/TARGET] relaxed and the food home - cooked with style . | v.stative | {"id": "reviews-235576-0005:8", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-235576", "token_indices": [8]} |
Family owned and operated makes sure the atmosphere is relaxed and the [TARGET] food [/TARGET] home - cooked with style . | n.FOOD | {"id": "reviews-235576-0005:12", "lemma": "food", "part_of_speech": "n", "split_group_id": "reviews-235576", "token_indices": [12]} |
Family owned and operated makes sure the atmosphere is relaxed and the food home - cooked with [TARGET] style [/TARGET] . | n.COGNITION | {"id": "reviews-235576-0005:17", "lemma": "style", "part_of_speech": "n", "split_group_id": "reviews-235576", "token_indices": [17]} |
Family [TARGET] owned [/TARGET] [TARGET] and [/TARGET] [TARGET] operated [/TARGET] makes sure the atmosphere is relaxed and the food home - cooked with style . | v.social | {"id": "reviews-235576-0005:1,2,3", "lemma": "own and operate", "part_of_speech": "v", "split_group_id": "reviews-235576", "token_indices": [1, 2, 3]} |
Family owned and operated [TARGET] makes [/TARGET] [TARGET] sure [/TARGET] the atmosphere is relaxed and the food home - cooked with style . | v.social | {"id": "reviews-235576-0005:4,5", "lemma": "make sure", "part_of_speech": "v", "split_group_id": "reviews-235576", "token_indices": [4, 5]} |
Family owned and operated makes sure the atmosphere is relaxed and the food [TARGET] home [/TARGET] [TARGET] - [/TARGET] [TARGET] cooked [/TARGET] with style . | v.creation | {"id": "reviews-235576-0005:13,14,15", "lemma": "home - cook", "part_of_speech": "v", "split_group_id": "reviews-235576", "token_indices": [13, 14, 15]} |
I highly [TARGET] recommend [/TARGET] picking up a jug of their homemade bloody mary mix - definitely the best . | v.communication | {"id": "reviews-235576-0006:2", "lemma": "recommend", "part_of_speech": "v", "split_group_id": "reviews-235576", "token_indices": [2]} |
I highly recommend picking up a [TARGET] jug [/TARGET] of their homemade bloody mary mix - definitely the best . | n.ARTIFACT | {"id": "reviews-235576-0006:6", "lemma": "jug", "part_of_speech": "n", "split_group_id": "reviews-235576", "token_indices": [6]} |
I highly recommend picking up a jug of their homemade bloody mary [TARGET] mix [/TARGET] - definitely the best . | n.FOOD | {"id": "reviews-235576-0006:12", "lemma": "mix", "part_of_speech": "n", "split_group_id": "reviews-235576", "token_indices": [12]} |
I highly recommend [TARGET] picking [/TARGET] [TARGET] up [/TARGET] a jug of their homemade bloody mary mix - definitely the best . | v.possession | {"id": "reviews-235576-0006:3,4", "lemma": "pick up", "part_of_speech": "v", "split_group_id": "reviews-235576", "token_indices": [3, 4]} |
I highly recommend picking up a jug of their homemade [TARGET] bloody [/TARGET] [TARGET] mary [/TARGET] mix - definitely the best . | n.FOOD | {"id": "reviews-235576-0006:10,11", "lemma": "bloody mary", "part_of_speech": "n", "split_group_id": "reviews-235576", "token_indices": [10, 11]} |
If you 've been to North County , chances are it [TARGET] 's [/TARGET] in your favorites list already . | v.stative | {"id": "reviews-235576-0007:11", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-235576", "token_indices": [11]} |
If you 've been to North County , chances are it 's in your [TARGET] favorites [/TARGET] list already . | n.COGNITION | {"id": "reviews-235576-0007:14", "lemma": "favorite", "part_of_speech": "n", "split_group_id": "reviews-235576", "token_indices": [14]} |
If you 've been to North County , chances are it 's in your favorites [TARGET] list [/TARGET] already . | n.COMMUNICATION | {"id": "reviews-235576-0007:15", "lemma": "list", "part_of_speech": "n", "split_group_id": "reviews-235576", "token_indices": [15]} |
If you 've [TARGET] been [/TARGET] [TARGET] to [/TARGET] North County , chances are it 's in your favorites list already . | v.motion | {"id": "reviews-235576-0007:3,4", "lemma": "be to", "part_of_speech": "v", "split_group_id": "reviews-235576", "token_indices": [3, 4]} |
If you 've been to [TARGET] North [/TARGET] [TARGET] County [/TARGET] , chances are it 's in your favorites list already . | n.LOCATION | {"id": "reviews-235576-0007:5,6", "lemma": "North County", "part_of_speech": "n", "split_group_id": "reviews-235576", "token_indices": [5, 6]} |
This [TARGET] place [/TARGET] is bad . | n.GROUP | {"id": "reviews-238839-0001:1", "lemma": "place", "part_of_speech": "n", "split_group_id": "reviews-238839", "token_indices": [1]} |
This place [TARGET] is [/TARGET] bad . | v.stative | {"id": "reviews-238839-0001:2", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-238839", "token_indices": [2]} |
It [TARGET] 's [/TARGET] dark , dingy & dirty . | v.stative | {"id": "reviews-238839-0002:1", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-238839", "token_indices": [1]} |
The [TARGET] salads [/TARGET] are limp and the rest of the food is n't any better ( ok , the nachos are not too bad ! ) | n.FOOD | {"id": "reviews-238839-0003:1", "lemma": "salad", "part_of_speech": "n", "split_group_id": "reviews-238839", "token_indices": [1]} |
The salads [TARGET] are [/TARGET] limp and the rest of the food is n't any better ( ok , the nachos are not too bad ! ) | v.stative | {"id": "reviews-238839-0003:2", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-238839", "token_indices": [2]} |
The salads are limp and the [TARGET] rest [/TARGET] of the food is n't any better ( ok , the nachos are not too bad ! ) | n.QUANTITY | {"id": "reviews-238839-0003:6", "lemma": "rest", "part_of_speech": "n", "split_group_id": "reviews-238839", "token_indices": [6]} |
The salads are limp and the rest of the [TARGET] food [/TARGET] is n't any better ( ok , the nachos are not too bad ! ) | n.FOOD | {"id": "reviews-238839-0003:9", "lemma": "food", "part_of_speech": "n", "split_group_id": "reviews-238839", "token_indices": [9]} |
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