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In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words are in [] and have been separated with a comma. The sentence can contain words that have case, punctuation, stem-based, intra-word, and digit punctuation errors that need to be corrected. For example, the text should be uppercased/lowercased as per necessity (like the beginning of a sentence, proper nouns, etc.), and digits need to be normalized (6 as six and so on). Note that you don't need to normalize the years. You don't need to fully edit the sentences, if end of the input stream contains sentence fragments, keep them as is.
Example Input: ['okay', "let's", 'draw', 'a', 'graph', "let's", 'look', 'at', 'the', 'horizontal', 'axis', 'and', "let's", 'think', 'about', 'this', 'as', 'being', 'the', 'number', 'of', 'times', 'that', 'you', 'hear', 'thunder', 'say', "you're", 'sitting', 'in', 'your', 'bedroom', 'and', 'you', 'hear', 'some', 'loud', 'thunderclaps', 'okay', 'so', "we've", 'got', 'six', 'thunderclaps', 'and', 'now', 'on', 'the', 'vertical', 'axis', "let's", 'think', 'about', 'this', 'being', 'how', 'high', 'you', 'jump', 'out', 'of', 'your', 'bed', 'when', 'you', 'hear', 'them', 'oh', "let's", 'use', 'a', "let's", 'use', 'a', 'bit', 'of', 'an', 'arbitrary', 'measure', "let's", 'do', "let's", 'say', 'you', 'typically', 'jump', '10', 'centimetres', 'so', 'one', 'thing', 'that', 'could', 'happen', 'is', 'that', 'every', 'time', 'you', 'heard']
Example Output: ['okay', "let's", 'draw', 'a', 'graph.', "Let's", 'look', 'at', 'the', 'horizontal', 'axis.', 'And', "let's", 'think', 'about', 'this', 'as', 'being', 'the', 'number', 'of', 'times', 'that', 'you', 'hear', 'thunder.', 'Say', "you're", 'sitting', 'in', 'your', 'bedroom', 'and', 'you', 'hear', 'some', 'loud', 'thunderclaps', 'okay', 'so', "we've", 'got', 'six', 'thunderclaps', 'and', 'now', 'on', 'the', 'vertical', 'axis,', "let's", 'think', 'about', 'this', 'being', 'how', 'high', 'you', 'jump', 'out', 'of', 'your', 'bed', 'when', 'you', 'hear', 'them', 'oh', "let's", 'use', 'a', "let's", 'use', 'a', 'bit', 'of', 'an', 'arbitrary', 'measure', "let's", 'do', "let's", 'say', 'you', 'typically', 'jump', '10', 'centimeters.', 'So', 'one', 'thing', 'that', 'could', 'happen', 'is', 'that', 'every', 'time', 'you', 'heard']
Example Input: ['welcome', 'back', 'well', 'in', 'the', 'last', 'video', 'we', 'took', 'the', 'Maclaurin', 'series', 'for', 'cosine', 'of', 'X', 'the', 'Maclaurin', 'series', 'representation', 'so', 'I', 'guess', 'we', 'might', 'as', 'well', 'do', 'the', 'same', 'for', 'sine', 'of', 'X', 'and', 'I', "I'm", 'sounding', 'very', 'nonchalant', 'but', 'I', 'have', 'a', 'a', 'reason', 'behind', 'why', "I'm", 'doing', 'this', 'and', "you'll", 'see', 'in', 'a', 'few', 'videos', 'from', 'now', 'when', 'we', 'come', 'with', 'the', 'when', 'we', 'come', 'up', 'with', 'the', 'grand', 'conclusion', 'so', 'anyway', "let's", 'just', 'set', '', 'f', 'of', 'X', 'and', 'you', 'might', 'just', 'want', 'to', 'do', 'this', 'yourself', 'and', 'instead', 'of', 'watching', 'me', 'do', 'it', 'because', 'it']
Example Output: ['Welcome', 'back.', 'Well,', 'in', 'the', 'last', 'video', 'we', 'took', 'the', 'Maclaurin', 'series', 'for', 'cosine', 'of', 'x,', 'the', 'Maclaurin', 'series', 'representation.', 'So', 'I', 'guess', 'we', 'might', 'as', 'well', 'do', 'the', 'same', 'for', 'sine', 'of', 'X', 'and', 'I', "I'm", 'sounding', 'very', 'nonchalant,', 'but', 'I', 'have', 'a', 'a', 'reason', 'behind', 'why', "I'm", 'doing', 'this,', 'and', "you'll", 'see', 'in', 'a', 'few', 'videos', 'from', 'now', 'when', 'we', 'come', 'with', 'the', 'when', 'we', 'come', 'up', 'with', 'the', 'grand', 'conclusion.', 'So', 'anyway,', "let's", 'just', 'set', '', 'f', 'of', 'x.', 'And', 'you', 'might', 'just', 'want', 'to', 'do', 'this', 'yourself', 'and', 'instead', 'of', 'watching', 'me', 'do', 'it,', 'because', 'it']
Example Input: ['so', 'in', 'most', 'people', 'right', 'when', "we're", 'talking', 'about', 'their', "Parkinson's", 'disease', 'we', 'say', 'that', 'their', "Parkinson's", 'disease', 'is', 'idiopathic', 'and', 'that', 'just', 'means', 'that', 'we', "don't", 'know', 'what', 'caused', 'it', 'and', "that's", 'actually', 'the', 'case', 'for', 'the', 'vast', 'majority', 'of', 'people', 'with', "Parkinson's", 'disease', 'about', 'eighty-five', 'percent', 'of', 'people', 'so', "it's", 'a', 'lot', 'right', 'but', 'in', 'a', 'handful', 'of', 'people', 'with', "Parkinson's", 'disease', 'about', '15%', 'we', 'actually', 'do', 'know', 'what', 'caused', 'the', 'disease', 'and', 'for', 'these', 'people', "something's", 'actually', 'gone', 'wrong', 'with', 'at', 'least', 'one', 'of', 'their', 'genes', 'so', 'a', 'quick', 'recap', 'on', 'genes', 'remember', 'that', 'genes', 'are', 'essentially']
Example Output:
|
['so', 'in', 'most', 'people,', 'right', 'when', "we're", 'talking', 'about', 'their', "Parkinson's", 'Disease', 'we', 'say', 'that', 'their', "Parkinson's", 'Disease', 'is', 'Idiopathic.', 'And', 'that', 'just', 'means', 'that', 'we', "don't", 'know', 'what', 'caused', 'it.', 'And', "that's", 'actually', 'the', 'case', 'for', 'the', 'vast', 'majority', 'of', 'people', 'with', "Parkinson's", 'disease', 'about', 'eighty-five', 'percent', 'of', 'people.', 'So', "that's", 'a', 'lot,', 'right?', 'But', 'in', 'a', 'handful', 'of', 'people', 'with', "Parkinson's", 'Disease', 'about', '15%,', 'we', 'actually', 'do', 'know', 'what', 'caused', 'the', 'disease.', 'And', 'for', 'these', 'people', "something's", 'actually', 'gone', 'wrong', 'with', 'at', 'least', 'one', 'of', 'their', 'genes.', 'So', 'a', 'quick', 'recap', 'on', 'genes.', 'Remember', 'that', 'genes', 'are', 'essentially']
|
task1415_youtube_caption_corrections_grammar_correction
|
NIv2
|
fs_opt
| 3
|
train
|
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words are in [] and have been separated with a comma. The sentence can contain words that have case, punctuation, stem-based, intra-word, and digit punctuation errors that need to be corrected. For example, the text should be uppercased/lowercased as per necessity (like the beginning of a sentence, proper nouns, etc.), and digits need to be normalized (6 as six and so on). Note that you don't need to normalize the years. You don't need to fully edit the sentences, if end of the input stream contains sentence fragments, keep them as is.
Let me give you an example: ['hey', 'everybody', 'ivan', 'from', 'weights', 'and', 'biases', 'here', 'in', 'this', 'video', "i'd"]
The answer to this example can be: ['Hey', 'everybody,', 'Ivan', 'from', 'Weights', '&', 'Biases', 'here.', 'In', 'this', 'video', "I'd"]
Here is why: This sentence is a good example since the input stream is grammatically incorrect statement and the output stream is grammatically correct.
OK. solve this:
["let's", 'say', 'we', 'need', 'to', 'figure', 'out', 'how', 'many', 'times', '16', 'goes', 'into', '1388', 'and', 'what', 'I', 'want', 'to', 'do', 'is', 'first', 'think', 'about', 'how', 'we', 'traditionally', 'solve', 'a', 'problem', 'like', 'this', 'and', 'then', 'introduce', 'another', 'method', 'that', 'allows', 'for', 'a', 'little', 'bit', 'more', 'approximation', 'so', 'traditionally', 'you', 'would', 'say', 'well', '16', 'does', 'not', 'go', 'into', '1', 'any', 'time', 'so', 'then', 'you', 'move', 'over', 'one', 'spot', 'well', 'how', 'many', 'times', 'does', 'it', 'go', 'into', '13', 'well', 'it', 'still', 'does', 'not', 'go', 'into', '13', 'and', 'then', 'you', 'go', 'all', 'the', 'way', 'to', '138', 'you', 'say', 'well', '16', 'does', 'go', 'into', '138']
Answer:
|
["Let's", 'say', 'we', 'need', 'to', 'figure', 'out', 'how', 'many', 'times', '16', 'goes', 'into', '1,388.', 'And', 'what', 'I', 'want', 'to', 'do', 'is', 'first', 'think', 'about', 'how', 'we', 'traditionally', 'solve', 'a', 'problem', 'like', 'this', 'and', 'then', 'introduce', 'another', 'method', 'that', 'allows', 'for', 'a', 'little', 'bit', 'more', 'approximation.', 'So', 'traditionally', 'you', 'would', 'say,', 'well,', '16', 'does', 'not', 'go', 'into', '1', 'any', 'times.', 'So', 'then', 'you', 'move', 'over', 'one', 'spot.', 'Well,', 'how', 'many', 'times', 'does', 'it', 'go', 'into', '13?', 'Well,', 'it', 'still', 'does', 'not', 'go', 'into', '13.', 'And', 'then', 'you', 'go', 'all', 'the', 'way', 'to', '138', 'you', 'say,', 'well,', '16', 'does', 'go', 'into', '138']
|
task1415_youtube_caption_corrections_grammar_correction
|
NIv2
|
fs_opt
| 8
|
train
|
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words are in [] and have been separated with a comma. The sentence can contain words that have case, punctuation, stem-based, intra-word, and digit punctuation errors that need to be corrected. For example, the text should be uppercased/lowercased as per necessity (like the beginning of a sentence, proper nouns, etc.), and digits need to be normalized (6 as six and so on). Note that you don't need to normalize the years. You don't need to fully edit the sentences, if end of the input stream contains sentence fragments, keep them as is.
["we're", 'in', 'the', 'Metropolitan', 'Museum', 'of', 'Art', 'looking', 'at', 'the', 'spectacular', 'sculpture', 'of', 'to', 'figure', 'seated', 'side-by-side', 'this', 'Dogon', 'couple', 'this', 'Dogon', 'couple', 'was', 'probably', 'found', 'in', 'a', 'shrine', 'in', 'the', 'Dogon', 'village', 'and', 'the', 'black', 'color', 'comes', 'from', 'the', 'fact', 'that', "it's", 'been', 'given', 'several', 'offerings', 'of', 'sacrifices', 'this', 'could', 'have', 'been', 'blood', 'this', 'could', 'have', 'been', 'milk', 'this', 'could', 'have', 'been', 'alcohol', 'or', 'palm', 'oil', 'and', 'if', 'you', 'look', 'carefully', 'at', 'the', 'sculpture', 'you', 'can', 'see', 'where', 'little', 'bits', 'of', 'oil', 'is', 'still', 'coming', 'to', 'the', 'surface', 'the', 'figures', 'look', 'almost', 'identical', 'at', 'first', 'glance', 'we', 'can', 'see']
|
["we're", 'in', 'the', 'Metropolitan', 'Museum', 'of', 'Art', 'looking', 'at', 'the', 'spectacular', 'sculpture', 'of', 'two', 'figures', 'seated', 'side-by-side', 'this', 'Dogon', 'couple', 'this', 'Dogon', 'couple', 'was', 'probably', 'found', 'in', 'a', 'shrine', 'in', 'the', 'Dogon', 'village,', 'and', 'the', 'black', 'color', 'comes', 'from', 'the', 'fact', 'that', "it's", 'been', 'given', 'several', 'offerings', 'of', 'sacrifices.', 'This', 'could', 'have', 'been', 'blood,', 'this', 'could', 'have', 'been', 'milk,', 'this', 'could', 'have', 'been', 'alcohol', 'or', 'palm', 'oil', 'and', 'if', 'you', 'look', 'carefully', 'at', 'the', 'sculpture,', 'you', 'can', 'see', 'where', 'little', 'bits', 'of', 'oil', 'are', 'still', 'coming', 'to', 'the', 'surface', 'the', 'figures', 'look', 'almost', 'identical', 'at', 'first', 'glance.', 'We', 'can', 'see']
|
task1415_youtube_caption_corrections_grammar_correction
|
NIv2
|
zs_opt
| 0
|
train
|
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words are in [] and have been separated with a comma. The sentence can contain words that have case, punctuation, stem-based, intra-word, and digit punctuation errors that need to be corrected. For example, the text should be uppercased/lowercased as per necessity (like the beginning of a sentence, proper nouns, etc.), and digits need to be normalized (6 as six and so on). Note that you don't need to normalize the years. You don't need to fully edit the sentences, if end of the input stream contains sentence fragments, keep them as is.
One example: ['hey', 'everybody', 'ivan', 'from', 'weights', 'and', 'biases', 'here', 'in', 'this', 'video', "i'd"]
Solution is here: ['Hey', 'everybody,', 'Ivan', 'from', 'Weights', '&', 'Biases', 'here.', 'In', 'this', 'video', "I'd"]
Explanation: This sentence is a good example since the input stream is grammatically incorrect statement and the output stream is grammatically correct.
Now, solve this: ["let's", 'say', 'that', "we've", 'got', 'a', 'position', 'vector', 'P', 'and', 'it', 'is', 'equal', 'to', "we'll", 'represent', 'it', 'as', 'a', 'column', 'vector', 'right', 'over', 'here', 'to', '1', 'so', 'if', 'we', 'wanted', 'to', 'plot', 'this', 'and', "that's", 'what', 'I', 'will', 'do', "let's", 'plot', 'it', 'so', 'if', 'we', 'were', 'to', 'plot', 'it', "that's", 'my', 'y-axis', 'this', 'right', 'over', 'here', 'is', 'my', 'x-axis', 'x-axis', 'so', 'if', 'we', 'assume', 'that', 'the', 'first', 'entry', 'here', 'is', 'the', 'x', 'coordinate', '1', '2', 'comma', '1', 'so', 'our', 'position', 'vector', 'is', 'going', 'to', 'be', 'right', 'over', 'here', 'we', 'could', 'represent', 'it', 'we', 'could', 'represent', 'it', 'in', 'this', 'kind', 'of']
Solution:
|
["Voiceover:Let's", 'say', 'that', "we've", 'got', 'a', 'position', 'vector,', 'P', 'and', 'it', 'is', 'equal', 'to', "we'll", 'represent', 'it', 'as', 'a', 'column', 'vector,', 'right', 'over', 'here', 'to', '1', 'so', 'if', 'we', 'wanted', 'to', 'plot', 'this,', 'and', "that's", 'what', 'I', 'will', 'do', "let's", 'plot', 'it', 'so', 'if', 'we', 'were', 'to', 'plot', 'it,', "that's", 'my', 'y-axis', 'this', 'right', 'over', 'here', 'is', 'my', 'x-axis', 'x-axis', 'so', 'if', 'we', 'assume', 'that', 'the', 'first', 'entry', 'here', 'is', 'the', 'x', 'coordinate', '1', '2', 'comma', '1', 'so', 'our', 'position', 'vector', 'is', 'going', 'to', 'be', 'right', 'over', 'here.', 'We', 'could', 'represent', 'it.', 'We', 'could', 'represent', 'it', 'in', 'this', 'kind', 'of']
|
task1415_youtube_caption_corrections_grammar_correction
|
NIv2
|
fs_opt
| 6
|
train
|
Given the task definition and input, reply with output. In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words are in [] and have been separated with a comma. The sentence can contain words that have case, punctuation, stem-based, intra-word, and digit punctuation errors that need to be corrected. For example, the text should be uppercased/lowercased as per necessity (like the beginning of a sentence, proper nouns, etc.), and digits need to be normalized (6 as six and so on). Note that you don't need to normalize the years. You don't need to fully edit the sentences, if end of the input stream contains sentence fragments, keep them as is.
['for', 'this', 'diels-alder', 'reaction', "i've", 'added', 'on', 'an', 'electron', 'donating', 'group', 'to', 'the', 'dyeing', 'so', "here's", 'the', 'dyeing', 'and', 'notice', "there's", 'a', 'methoxy', 'group', 'attached', 'to', 'this', 'carbon', 'that', 'means', 'there', 'are', 'two', 'possible', 'regio', 'chemical', 'outcomes', 'for', 'this', 'diels-alder', 'reaction', 'so', 'we', 'could', 'form', 'this', 'product', 'or', 'we', 'could', 'form', 'this', 'product', 'so', 'which', 'product', 'is', 'favored', 'to', 'figure', 'that', 'out', 'we', 'need', 'to', 'draw', 'resonance', 'structures', 'for', 'both', 'the', 'dying', 'and', 'the', 'dyno', 'file', 'and', "let's", 'start', 'with', 'the', 'dyeing', 'we', 'could', 'take', 'this', 'lone', 'pair', 'of', 'electrons', 'on', 'this', 'oxygen', 'and', 'move', 'them', 'into', 'here', 'and', 'then']
|
['for', 'this', 'Diels-Alder', 'reaction,', "I've", 'added', 'on', 'an', 'electron', 'donating', 'group', 'to', 'the', 'diene.', 'So', "here's", 'the', 'diene,', 'and', 'notice', "there's", 'a', 'methoxy', 'group', 'attached', 'to', 'this', 'carbon.', 'That', 'means', 'there', 'are', 'two', 'possible', 'regio', 'chemical', 'outcomes', 'for', 'this', 'Diels-Alder', 'reaction.', 'So', 'we', 'could', 'form', 'this', 'product,', 'or', 'we', 'could', 'form', 'this', 'product.', 'So', 'which', 'product', 'is', 'favored?', 'To', 'figure', 'that', 'out,', 'we', 'need', 'to', 'draw', 'resonance', 'structures', 'for', 'both', 'the', 'diene', 'and', 'the', 'dyno', 'file', 'and', "let's", 'start', 'with', 'the', 'diene.', 'We', 'could', 'take', 'this', 'lone', 'pair', 'of', 'electrons', 'on', 'this', 'oxygen', 'and', 'move', 'them', 'into', 'here,', 'and', 'then']
|
task1415_youtube_caption_corrections_grammar_correction
|
NIv2
|
zs_opt
| 5
|
train
|
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words are in [] and have been separated with a comma. The sentence can contain words that have case, punctuation, stem-based, intra-word, and digit punctuation errors that need to be corrected. For example, the text should be uppercased/lowercased as per necessity (like the beginning of a sentence, proper nouns, etc.), and digits need to be normalized (6 as six and so on). Note that you don't need to normalize the years. You don't need to fully edit the sentences, if end of the input stream contains sentence fragments, keep them as is.
['so', "I'm", 'Betsy', 'fighter', "I'm", '32', 'years', 'old', "I'm", 'a', 'veterinarian', 'in', 'my', 'annual', 'salary', 'is', '85,000', 'plus', 'production', 'spending', 'four', 'years', 'in', 'vet', 'school', 'and', 'a', 'year', 'an', 'internship', 'it', 'was', 'very', 'much', 'a', 'time', 'not', 'for', 'myself', 'and', 'so', 'now', 'that', 'I', 'am', 'you', 'know', 'out', 'and', 'and', 'making', 'money', "it's", 'very', 'important', 'to', 'me', 'to', 'be', 'able', 'to', 'you', 'know', 'go', 'out', 'to', 'eat', 'and', 'go', 'to', 'concerts', 'and', 'travel', 'and', 'and', 'save', 'up', 'for', 'those', 'types', 'of', 'experiences', 'I', 'mean', 'I', 'I', 'work', 'to', 'live', 'and', 'so', "that's", "that's", 'really', "I'm", 'trying', 'to', 'save', 'as', 'much']
Output:
|
['so', "I'm", 'Betsy', 'Feighner.', "I'm", '32', 'years', 'old.', "I'm", 'a', 'veterinarian', 'and', 'my', 'annual', 'salary', 'is', '85,000,', 'plus', 'production.', 'Spending', 'four', 'years', 'in', 'vet', 'school', 'and', 'a', 'year', 'in', 'internship,', 'it', 'was', 'very', 'much', 'a', 'time', 'not', 'for', 'myself', 'and', 'so', 'now', 'that', 'I', 'am', 'you', 'know', 'out', 'and', 'and', 'making', 'money,', "it's", 'very', 'important', 'to', 'me', 'to', 'be', 'able', 'to', 'you', 'know', 'go', 'out', 'to', 'eat', 'and', 'go', 'to', 'concerts', 'and', 'travel', 'and', 'and', 'save', 'up', 'for', 'those', 'types', 'of', 'experiences', 'I', 'mean', 'I', 'I', 'work', 'to', 'live', 'and', 'so', "that's", "that's", 'really', "I'm", 'trying', 'to', 'save', 'as', 'much']
|
task1415_youtube_caption_corrections_grammar_correction
|
NIv2
|
zs_opt
| 1
|
train
|
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words are in [] and have been separated with a comma. The sentence can contain words that have case, punctuation, stem-based, intra-word, and digit punctuation errors that need to be corrected. For example, the text should be uppercased/lowercased as per necessity (like the beginning of a sentence, proper nouns, etc.), and digits need to be normalized (6 as six and so on). Note that you don't need to normalize the years. You don't need to fully edit the sentences, if end of the input stream contains sentence fragments, keep them as is.
['light', 'is', 'a', 'wave', 'and', 'as', 'it', 'travels', 'it', 'does', "it's", 'waving', 'along', 'a', 'certain', 'direction', "it's", 'polarization', 'polarization', 'among', 'other', 'things', 'heavily', 'influences', 'the', 'way', 'light', 'bounces', 'and', 'scatters', '', "that's", 'why', 'horizontally', 'polarized', 'light', 'reflects', 'off', '', 'a', 'lake', 'or', 'car', 'windshield', 'which', 'in', 'turn', 'is', 'why', 'sunglasses', 'with', 'a', 'vertical', 'polarizing', 'filter', 'can', 'block', 'that', 'light', 'and', 'in', 'the', 'hot', 'plasma', 'of', 'the', 'baby', 'universe', 'light', 'was', 'bouncing', 'off', 'of', 'electrons', 'left', 'and', 'right', '', 'until', 'the', 'plasma', 'cooled', 'enough', 'to', 'become', 'transparent', 'so', 'the', 'light', 'could', 'start', 'traveling', 'through', 'space', 'but', 'before', 'heading', 'out', 'on', 'its']
Output:
|
['Light', 'is', 'a', 'wave,', 'and', 'as', 'it', 'travels', 'it', 'does', 'its', '"waving"', 'along', 'a', 'certain', 'direction', "it's", 'polarization', 'polarization', 'among', 'other', 'things,', 'heavily', 'influences', 'the', 'way', 'light', 'bounces', 'and', 'scatters', '', "that's", 'why', 'horizontally', 'polarized', 'light', 'reflects', 'off', '', 'a', 'lake', 'or', 'car', 'windshield,', 'which', 'in', 'turn', 'is', 'why', 'sunglasses', 'with', 'a', 'vertical', 'polarizing', 'filter', 'can', 'block', 'that', 'light.', 'And', 'in', 'the', 'hot', 'plasma', 'of', 'the', 'baby', 'universe,', 'light', 'was', 'bouncing', 'off', 'of', 'electrons', 'left', 'and', 'right', '', 'until', 'the', 'plasma', 'cooled', 'enough', 'to', 'become', 'transparent', 'so', 'the', 'light', 'could', 'start', 'traveling', 'through', 'space.', 'But', 'before', 'heading', 'out', 'on', 'its']
|
task1415_youtube_caption_corrections_grammar_correction
|
NIv2
|
zs_opt
| 1
|
train
|
Instructions: In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words are in [] and have been separated with a comma. The sentence can contain words that have case, punctuation, stem-based, intra-word, and digit punctuation errors that need to be corrected. For example, the text should be uppercased/lowercased as per necessity (like the beginning of a sentence, proper nouns, etc.), and digits need to be normalized (6 as six and so on). Note that you don't need to normalize the years. You don't need to fully edit the sentences, if end of the input stream contains sentence fragments, keep them as is.
Input: ['', 'on', 'the', '4th', 'floor', 'of', 'the', 'Museum', 'of', 'Modern', 'Art', 'in', 'New', 'York', 'and', "we're", 'looking', 'at', 'Robert', "Rauschenberg's", 'bed', 'this', 'is', 'a', 'combine', 'not', 'quite', 'a', 'sculpture', 'not', 'quite', 'a', 'painting', 'from', '1955', 'so', 'combine', 'means', 'a', 'combination', 'of', 'painting', 'and', 'sculpture', 'well', "John's", 'and', 'Rauschenberg', 'were', 'actually', 'thinking', 'about', 'their', 'art', 'as', 'between', 'art', 'and', 'life', 'and', 'what', 'is', 'that', 'narrow', 'space', 'between', 'the', 'two', 'so', 'instead', 'of', 'thinking', 'about', 'it', 'between', 'painting', 'and', 'sculpture', 'between', 'these', 'two', 'things', 'that', 'symbolize', 'fine', 'art', 'in', 'the', 'grand', 'tradition', 'inserting', 'life', 'into', 'that', 'conversation', 'life', 'and', 'wit', 'so', 'what']
Output:
|
['', 'on', 'the', '4th', 'floor', 'of', 'the', 'Museum', 'of', 'Modern', 'Art', 'in', 'New', 'York,', 'and', "we're", 'looking', 'at', 'Robert', "Rauschenberg's,", '"Bed."', 'This', 'is', 'a', 'combine,', 'not', 'quite', 'a', 'sculpture,', 'not', 'quite', 'a', 'painting,', 'from', '1955', 'so', 'combine', 'means', 'a', 'combination', 'of', 'painting', 'and', 'sculpture', 'well', "John's", 'and', 'Rauschenberg', 'were', 'actually', 'thinking', 'about', 'their', 'art', 'as', 'between', 'art', 'and', 'life,', 'and', 'what', 'is', 'that', 'narrow', 'space', 'between', 'the', 'two?', 'Voiceover:', 'Instead', 'of', 'thinking', 'about', 'it', 'between', 'painting', 'and', 'sculpture', 'between', 'these', 'two', 'things', 'that', 'symbolize', 'fine', 'art', 'in', 'the', 'grand', 'tradition,', 'inserting', 'life', 'into', 'that', 'conversation', 'life', 'and', 'wit', 'so', 'what']
|
task1415_youtube_caption_corrections_grammar_correction
|
NIv2
|
zs_opt
| 3
|
train
|
Q: In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words are in [] and have been separated with a comma. The sentence can contain words that have case, punctuation, stem-based, intra-word, and digit punctuation errors that need to be corrected. For example, the text should be uppercased/lowercased as per necessity (like the beginning of a sentence, proper nouns, etc.), and digits need to be normalized (6 as six and so on). Note that you don't need to normalize the years. You don't need to fully edit the sentences, if end of the input stream contains sentence fragments, keep them as is.
["let's", 'say', 'that', 'we', 'have', 'some', 'country', "let's", 'call', 'it', 'utensil', 'on', 'Dia', 'that', 'can', 'only', 'produce', 'one', 'of', 'two', 'goods', 'or', 'some', 'combination', 'of', 'them', 'so', 'it', 'can', 'produce', 'forks', 'and', 'it', 'can', 'produce', 'or', 'it', 'could', 'produce', 'spoons', 'and', 'so', 'this', 'axis', 'is', 'the', 'quantity', 'of', 'forks', 'this', 'axis', 'is', 'a', 'quantity', 'of', 'spoons', 'and', "let's", 'say', 'that', 'if', 'it', 'put', 'all', 'of', 'its', 'energy', 'into', '', 'forks', 'well', 'it', 'would', 'produce', 'that', 'many', 'Forks', 'and', 'no', 'spoons', 'and', 'but', 'then', 'if', 'it', 'tried', 'to', 'focus', 'some', 'of', 'its', 'energy', 'some', 'of', 'its', 'resources', 'on', 'spoons', 'well', 'then']
A:
|
["let's", 'say', 'that', 'we', 'have', 'some', 'country,', "let's", 'call', 'it', 'utensil', 'on', 'Dia', 'that', 'can', 'only', 'produce', 'one', 'of', 'two', 'goods', 'or', 'some', 'combination', 'of', 'them', 'so', 'it', 'can', 'produce', 'forks', 'and', 'it', 'can', 'produce', 'or', 'it', 'could', 'produce', 'spoons', 'and', 'so', 'this', 'axis', 'is', 'the', 'quantity', 'of', 'forks', 'this', 'axis', 'is', 'the', 'quantity', 'of', 'spoons', 'and', "let's", 'say', 'that', 'if', 'it', 'puts', 'all', 'of', 'its', 'energy', 'into', '', 'forks', 'well', 'it', 'would', 'produce', 'that', 'many', 'Forks', 'and', 'no', 'spoons,', 'and', 'but', 'then', 'if', 'it', 'tried', 'to', 'focus', 'some', 'of', 'its', 'energy,', 'some', 'of', 'its', 'resources', 'on', 'spoons,', 'well', 'then']
|
task1415_youtube_caption_corrections_grammar_correction
|
NIv2
|
zs_opt
| 7
|
test
|
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words are in [] and have been separated with a comma. The sentence can contain words that have case, punctuation, stem-based, intra-word, and digit punctuation errors that need to be corrected. For example, the text should be uppercased/lowercased as per necessity (like the beginning of a sentence, proper nouns, etc.), and digits need to be normalized (6 as six and so on). Note that you don't need to normalize the years. You don't need to fully edit the sentences, if end of the input stream contains sentence fragments, keep them as is.
['everything', "we've", 'done', 'so', 'far', 'has', 'been', 'stationary', 'fluids', 'or', 'static', 'fluids', 'and', "we've", 'been', 'dealing', 'with', 'static', 'pressure', 'because', 'all', 'of', 'the', 'you', 'know', 'we', 'we', 'were', 'trying', 'to', 'figure', 'out', 'what', 'happens', 'when', "everything's", 'in', 'a', 'steady', 'state', 'so', 'now', "let's", 'work', 'on', 'what', 'happens', 'when', 'the', 'fluid', 'is', 'actually', 'moving', 'so', "let's", 'imagine', 'a', 'pipe', 'let', 'me', 'draw', 'a', 'pipe', "let's", 'say', 'one', 'end', 'of', 'the', 'pipe', 'has', 'a', 'larger', 'area', 'than', 'the', 'other', 'end', 'or', 'at', 'least', 'a', 'different', 'area', 'let', 'me', 'draw', 'so', 'this', 'is', 'one', 'end', 'of', 'the', 'pipe', 'and', "that's", 'the', 'other', 'end']
|
['Everything', "we've", 'done', 'so', 'far', 'has', 'been', 'stationary', 'fluids,', 'or', 'static', 'fluids,', 'and', "we've", 'been', 'dealing', 'with', 'static', 'pressure', 'because', 'all', 'of', 'the', 'you', 'know', 'we', 'we', 'were', 'trying', 'to', 'figure', 'out', 'what', 'happens', 'when', "everything's", 'in', 'a', 'steady', 'state', 'so', 'now', "let's", 'work', 'on', 'what', 'happens', 'when', 'the', 'fluid', 'is', 'actually', 'moving', 'so', "let's", 'imagine', 'a', 'pipe', 'let', 'me', 'draw', 'a', 'pipe', "let's", 'say', 'one', 'end', 'of', 'the', 'pipe', 'has', 'a', 'larger', 'area', 'than', 'the', 'other', 'end,', 'or', 'at', 'least', 'a', 'different', 'area', 'let', 'me', 'draw', 'so', 'this', 'is', 'one', 'end', 'of', 'the', 'pipe,', 'and', "that's", 'the', 'other', 'end']
|
task1415_youtube_caption_corrections_grammar_correction
|
NIv2
|
zs_opt
| 0
|
validation
|
Definition: In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: Det vi skulle reagera negativt på är om kommissionen gick vidare utan att ha förstått det inre väsendet hos det generella systemet i vår ordning, med ett medansvar, som innebär att våra baskiska taxeringsnormer är av samma karaktär, att grundsatserna och målsättningen med dessa är samma som för normerna i unionens stater, och att dessa normer gäller alla skattebetalare som på ett eller annat vis omfattas av dem.
Output:
|
Our discrepancy stems from the fact that the Commission continues to misunderstand the character of the general system and the co-responsibility of our arrangement which gives our Basque fiscal rules the same nature, foundation and aim as the rules of the Member States of the Union, and that they are applied in a general way to all tax-payers who, by virtue of points which fall under an external system of law, are subject to those rules.
|
task312_europarl_sv_en_translation
|
NIv2
|
zs_opt
| 2
|
train
|
Instructions: In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: Med detta nya femårsprogram måste dels åtgärderna från Altener I-programmet utökas.
Output:
|
In the first place, this new five-year programme will entail extending the actions in the ALTENER I programme.
|
task312_europarl_sv_en_translation
|
NIv2
|
zs_opt
| 3
|
train
|
Teacher: In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? If you are still confused, see the following example:
Jag förklarar debatten avslutad.
Solution: The debate is closed.
Reason: Swedish sentence is properly converted into English sentence.
Now, solve this instance: Fru talman! Även på detta område har vi som vanligt ett antal översättningsproblem.
Student:
|
Madam President, we simply have a few translation problems in this area too.
|
task312_europarl_sv_en_translation
|
NIv2
|
fs_opt
| 2
|
train
|
Q: In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Hur skall vi se till att vi inte alltid blir möjliga att angripa, t.ex. av våra partner i USA - och då räcker inte bio safety-protokollet till?
A:
|
How can we ensure that we will not be laying ourselves open to attack at any time, for example by our partners in the USA, on account of the bio safety protocol not being adequate to their purposes?
|
task312_europarl_sv_en_translation
|
NIv2
|
zs_opt
| 7
|
train
|
In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Ex Input:
Herr talman! Vad beträffar Lynnes kommentarer i går om hälsa och säkerhet i denna byggnad antar jag att hon talade om avloppet, för det finns en hemsk kloaklukt på femte våningen i tornet.
Ex Output:
Mr President, regarding Mrs Lynne's comments yesterday about health and safety in this building, I presume she was talking about the drains because there is a dreadful smell of drains on the fifth floor in the Tower.
Ex Input:
Vi kommer också att behöva rådets och andra nyckelfunktioners fullaste stöd.
Ex Output:
We will also need the fullest support from the Council and other key stakeholders.
Ex Input:
En majoritet av utskottets ledamöter har i stället strävat efter en jämvikt; å ena sidan bör man kräva att såväl staterna som företagen respekterar konkurrensreglerna och å andra sidan bör man erkänna att den här typen av stöd kan medverka till att fördragets mål förverkligas, i synnerhet, som jag redan har nämnt, i fråga om hållbar utveckling, forskning och utveckling samt ekonomisk och social sammanhållning.
Ex Output:
|
Most committee members have sought rather to find a balance between, on the one hand, the need to see that both states and businesses comply with the competition rules and, on the other hand, acknowledgement of the value of such aid with a view to contributing to the objectives of the Treaty, particularly, as I have said already, as regards sustainable development, research and development and economic and social cohesion.
|
task312_europarl_sv_en_translation
|
NIv2
|
fs_opt
| 1
|
train
|
In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Example: Jag förklarar debatten avslutad.
Example solution: The debate is closed.
Example explanation: Swedish sentence is properly converted into English sentence.
Problem: Det finns också en gummiparagraf om förhandlingarnas och institutionernas effektivitet, som kan användas till vad som helst, det är därför...
|
Solution: In addition, we have a flexible clause concerning the efficiency of the negotiations and of the institutions, which may be used for any purposes whatsoever. It is therefore ...
|
task312_europarl_sv_en_translation
|
NIv2
|
fs_opt
| 5
|
train
|
Instructions: In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: Det har således visat sig nödvändigt att anta åtgärder - inom ramen för genomförandet av den inre marknaden - för att ombesörja ett bättre förebyggande av risker.
Output:
|
It therefore proved necessary, in the context of establishing the internal market, to adopt some measures intended to ensure better risk prevention.
|
task312_europarl_sv_en_translation
|
NIv2
|
zs_opt
| 3
|
train
|
instruction:
In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
question:
Fråga nr 9 från (H-0798/99):
answer:
Question No 9 by (H-0798/99):
question:
Riktlinjerna innebär, i det skick de godkänts av kommissionen, en allvarlig begränsning eftersom de i stället för att uppfylla syftet att ange en inriktning räknar upp en katalog av tänkbara föreskrifter, en katalog som, eftersom den inte är prioriterad, i själva verket skulle kunna få medlemsstaterna att gå vilse genom att rikta deras uppmärksamhet mot ett brett urval av olika förslag, vilket skulle stå i strid mot den önskvärda koncentrationen.
answer:
The guidelines, as adopted by the Commission, are very limited because, instead of meeting the aim of providing guidance, they are providing a shopping list of possible measures, a shopping list which, as it fails to set priorities in ascending order, could even put the Member States on the wrong track by guiding them towards a series of proposals that is at odds with the desired concentration.
question:
Vi vill ha en riktig konkurrenskultur i Europa.
answer:
|
We want a true culture of competition in Europe.
|
task312_europarl_sv_en_translation
|
NIv2
|
fs_opt
| 9
|
train
|
Teacher:In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? Solve this instance: . (EN) Den tidningsartikel som ni hänvisar till tycks mig vilseledande och felaktig.
Student:
|
The newspaper reports that the honourable Member made reference to seem to me to be misleading and inaccurate.
|
task312_europarl_sv_en_translation
|
NIv2
|
zs_opt
| 6
|
test
|
Teacher: In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? If you are still confused, see the following example:
Jag förklarar debatten avslutad.
Solution: The debate is closed.
Reason: Swedish sentence is properly converted into English sentence.
Now, solve this instance: Den oberoende expertkommittén sade att kommissionen inte skötte detta ordentligt.
Student:
|
The Committee of Independent Experts said the Commission was not managing this properly.
|
task312_europarl_sv_en_translation
|
NIv2
|
fs_opt
| 2
|
validation
|
instruction:
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
question:
You live a little far away.
answer:
Do you want to meet up with me for a walk sometime?
question:
If there are specials!
answer:
Are you getting a takeaway tonight?
question:
I went to Mexico this past summer.
answer:
|
Have you taken any big vacations lately?
|
task568_circa_question_generation
|
NIv2
|
fs_opt
| 9
|
train
|
TASK DEFINITION: In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
PROBLEM: It's literally across the street.
SOLUTION: Would it be close to transportation?
PROBLEM: I listen to Taylor Swift and Shawn Mendes.
SOLUTION: Do you like any new song playing on the radio?
PROBLEM: I usually do
SOLUTION:
|
Do you like a lot of bass in your music?
|
task568_circa_question_generation
|
NIv2
|
fs_opt
| 8
|
train
|
Detailed Instructions: In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
See one example below:
Problem: My stomach will be upset if i eat that.
Solution: Do you like pineapple on your pizza?
Explanation: The answer given was regarding something that the person ate and it caused his stomach upset. The question asked was if that person likes pineapple on pizza. Based on the given answer, the question was predicted correctly.
Problem: All my life!
Solution:
|
Are you still living in San Antonio?
|
task568_circa_question_generation
|
NIv2
|
fs_opt
| 4
|
train
|
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Input: Consider Input: I can't manage 20% in this market but do have $20,000.
Output: Do you have cash saved up for a down payment?
Input: Consider Input: I play basketball with the guys on weekends.
Output: Have you continued doing sports?
Input: Consider Input: I have a son and a daughter.
|
Output: Do you have children?
|
task568_circa_question_generation
|
NIv2
|
fs_opt
| 2
|
train
|
Given the task definition and input, reply with output. In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
I moved out of the state years ago.
|
Have you been living here all this time?
|
task568_circa_question_generation
|
NIv2
|
zs_opt
| 5
|
train
|
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Q: That's the plan
A: Are you going to drive your car to work?
****
Q: As far as I know I can eat anything.
A: Do you have any dietary restrictions/allergies?
****
Q: I find it easy.
A:
|
Is it challenging?
****
|
task568_circa_question_generation
|
NIv2
|
fs_opt
| 4
|
train
|
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Let me give you an example: My stomach will be upset if i eat that.
The answer to this example can be: Do you like pineapple on your pizza?
Here is why: The answer given was regarding something that the person ate and it caused his stomach upset. The question asked was if that person likes pineapple on pizza. Based on the given answer, the question was predicted correctly.
OK. solve this:
I could do with a stiff drink.
Answer:
|
Do you want to hang out later?
|
task568_circa_question_generation
|
NIv2
|
fs_opt
| 8
|
train
|
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
One example is below.
Q: My stomach will be upset if i eat that.
A: Do you like pineapple on your pizza?
Rationale: The answer given was regarding something that the person ate and it caused his stomach upset. The question asked was if that person likes pineapple on pizza. Based on the given answer, the question was predicted correctly.
Q: I prefer everyday settings.
A:
|
Do you like science fiction novels?
|
task568_circa_question_generation
|
NIv2
|
fs_opt
| 9
|
train
|
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
I'm looking to get a roommate.
|
Are you going to live alone?
|
task568_circa_question_generation
|
NIv2
|
zs_opt
| 0
|
test
|
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
One example: My stomach will be upset if i eat that.
Solution is here: Do you like pineapple on your pizza?
Explanation: The answer given was regarding something that the person ate and it caused his stomach upset. The question asked was if that person likes pineapple on pizza. Based on the given answer, the question was predicted correctly.
Now, solve this: I'm going clubbing.
Solution:
|
Any fun plans this weekend?
|
task568_circa_question_generation
|
NIv2
|
fs_opt
| 6
|
validation
|
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post contains offensive language or a targeted (veiled or direct) offense. Twitter user mentions were substituted by @USER and URLs have been substitute by URL.
Q: @USER Unless he is like that old skin bag Cher. She just coming back and coming back. #stretchedface
A:
|
OFFENSIVE
|
task286_olid_offense_judgment
|
NIv2
|
zs_opt
| 4
|
train
|
Teacher:In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post contains offensive language or a targeted (veiled or direct) offense. Twitter user mentions were substituted by @USER and URLs have been substitute by URL.
Teacher: Now, understand the problem? Solve this instance: @USER @USER Mbappe is bang average...would shit bricks in PL...glad for him he is in a league which is absolute joke
Student:
|
NOT
|
task286_olid_offense_judgment
|
NIv2
|
zs_opt
| 6
|
train
|
Q: In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post contains offensive language or a targeted (veiled or direct) offense. Twitter user mentions were substituted by @USER and URLs have been substitute by URL.
@USER Shit like this is why I don't follow @USER Who me? I'm just stating basic facts. Totally NOT diverting from the actual point. Just stating a fact." You're a phony"
A:
|
OFFENSIVE
|
task286_olid_offense_judgment
|
NIv2
|
zs_opt
| 7
|
train
|
Detailed Instructions: In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post contains offensive language or a targeted (veiled or direct) offense. Twitter user mentions were substituted by @USER and URLs have been substitute by URL.
Q: @USER Funny how liberals and liberal stars hate the folks that make them and give them the very fame and power which they can’t live without
A:
|
NOT
|
task286_olid_offense_judgment
|
NIv2
|
zs_opt
| 9
|
train
|
instruction:
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post contains offensive language or a targeted (veiled or direct) offense. Twitter user mentions were substituted by @USER and URLs have been substitute by URL.
question:
@USER Why don't you say he knew those emails were approved to be released. He knew he could release them. His grand standing got called out and his theatrics are unbecoming of a US Senator. Call him out or you are FAKE news just like @USER calls you.
answer:
OFFENSIVE
question:
@USER @USER Yup! She will destroy hard working ppl and small businesses. She is evil with a pretty face and ppl are falling for it.
answer:
OFFENSIVE
question:
@USER Pat Shurmer scored 7 points against the eagles in playoffs last year and only 22 at home vs saints until miracle play he is not a great offensive coach.
answer:
|
NOT
|
task286_olid_offense_judgment
|
NIv2
|
fs_opt
| 9
|
train
|
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post contains offensive language or a targeted (veiled or direct) offense. Twitter user mentions were substituted by @USER and URLs have been substitute by URL.
Let me give you an example: @USER Someone should've taken "this piece of shit to a volcano."
The answer to this example can be: OFFENSIVE
Here is why: tweet contains offensive language.
OK. solve this:
@USER @USER Guy if you can't explain yourself after a day that's a good indication youre talking shit
Answer:
|
OFFENSIVE
|
task286_olid_offense_judgment
|
NIv2
|
fs_opt
| 8
|
train
|
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post contains offensive language or a targeted (veiled or direct) offense. Twitter user mentions were substituted by @USER and URLs have been substitute by URL.
One example: @USER Someone should've taken "this piece of shit to a volcano."
Solution is here: OFFENSIVE
Explanation: tweet contains offensive language.
Now, solve this: @USER THINK PROBELY I THINK SHE IS GETTING SOMETHING OUT OF IT ..MAYBE MONEY
Solution:
|
NOT
|
task286_olid_offense_judgment
|
NIv2
|
fs_opt
| 6
|
train
|
You will be given a definition of a task first, then some input of the task.
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post contains offensive language or a targeted (veiled or direct) offense. Twitter user mentions were substituted by @USER and URLs have been substitute by URL.
@USER Convincing conservatives (loosely defined) to have this change of mindset is definitively crucial to win. And the change will come regardless anyway...it's just a matter of it it will come before it's already too late.
Output:
|
NOT
|
task286_olid_offense_judgment
|
NIv2
|
zs_opt
| 1
|
train
|
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post contains offensive language or a targeted (veiled or direct) offense. Twitter user mentions were substituted by @USER and URLs have been substitute by URL.
@USER Hey Serena...don’t do me any favors. Women can take care of themselves. Just hit your tennis balls and take care of your family.
|
NOT
|
task286_olid_offense_judgment
|
NIv2
|
zs_opt
| 0
|
test
|
TASK DEFINITION: In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post contains offensive language or a targeted (veiled or direct) offense. Twitter user mentions were substituted by @USER and URLs have been substitute by URL.
PROBLEM: @USER @USER @USER @USER So let me get this right. Mogg is attacked and you are accusing him of profiting from it?
SOLUTION: NOT
PROBLEM: @USER Can this guy get any lower? One of the dumbest people in our country! How did anyone in Arizona voted for this idiot?
SOLUTION: OFFENSIVE
PROBLEM: @USER #StrataData #AI #data #hairball: @USER TDavis touring the application of #Cognitive and #machinelearning techniques to speed #Governance of #data URL
SOLUTION:
|
OFFENSIVE
|
task286_olid_offense_judgment
|
NIv2
|
fs_opt
| 8
|
validation
|
Definition: A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
Input: இந்த அரசு-தனியார் ஒத்துழைப்பின் மூலம், உலகத் தரம் வாய்ந்த விமான நிலையங்கள் அமைய உதவுவதுடன், இந்திய விமான நிலையங்கள் ஆணையத்துக்கு வருவாயை அதிகரிப்பதற்கும், விமான நிலையங்களை உருவாக்குவதில் கவனம் செலுத்தவும் உதவுகிறது. மேலும், நாட்டின் மற்ற பகுதிகளிலும் விமான வழிகாட்டி கட்டமைப்பை ஏற்படுத்த உதவுகிறது.
Output:
|
పీపీపీ ప్రయోగాలు ప్రపంచ స్థాయి విమానాశ్రయాలను రూపొందించాయి. ఏఏఐ తన ఆదాయాన్ని పెంచుకోడానికీ - అలాగే దేశంలోని ఇతర ప్రాంతాల్లో విమానాశ్రయాలు అభివృద్ధి చేయడంపై , విమానయాన మౌలిక సదుపాయాలను అభివృద్ధి చేయడం పై దృష్టి కేంద్రీకరించడానికి కూడా ఇవి సహాయపడ్డాయి.
|
task1075_pib_translation_tamil_telugu
|
NIv2
|
zs_opt
| 2
|
train
|
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
பீஜப்பூர் பகுதியில் இந்த நிகழ்ச்சியை நடத்துவதன் முக்கியத்துவத்தை விவரித்த பிரதமர், நாட்டில் வளர்ச்சி நடவடிக்கைகள் மேற்கொள்ளப்படாமல் உள்ள நூற்றுக்கும் மேற்பட்ட மாற்றமிகு மாவட்டங்களில் ஒன்றாக இந்த மாவட்டம் இருப்பதாகக் குறிப்பிட்டார்.
|
ఈ కార్యక్రమాన్ని ఇవాళ బీజాపుర్ లో జరపడం లోని ప్రాముఖ్యాన్ని గురించి ప్రధాన మంత్రి వివరిస్తూ, బీజాపుర్ దేశంలో మహత్త్వాకాంక్ష కలిగినటువంటి 100కు పైగా జిల్లాలలో ఒక జిల్లా అని, అభివృద్ధి ప్రయాణంలో ఈ జిల్లాలు వెనుకపట్టు పట్టాయన్నారు.
|
task1075_pib_translation_tamil_telugu
|
NIv2
|
zs_opt
| 0
|
train
|
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
One example: இந்தியா அல்லது உஸ்பெகிஸ்தானிடமிருந்து அறிவிப்பு வந்த நாளிலிருந்து ஆறு மாதத்திற்கு பிறகு இந்த ஒப்பந்தம் காலவதியாகிவிடும்
Solution is here: భారతదేశం లేదా ఉజ్బెకిస్తాన్ నుండి ప్రకటన తర్వాత రోజు నుండి ఆరు నెలల తరువాత, ఈ ఒప్పందం సకాలంలో ఉంటుంది
Explanation: Correct translation for given sentence. Input sentence means 'After six months from the day after the announcement from India or Uzbekistan, this agreement will be timely' which is the same as the output sentence.
Now, solve this: கூட்டுறவு உடன்படிக்கை கீழ்க்கண்ட துறைகளில் கூட்டுறவை உள்ளடக்கியதாகும் :-
Solution:
|
ఈ దిగువ రంగాల కు సంబంధించిన సహకారం ఎంఓయు పరిధి లో ఉంటుంది:-:-
|
task1075_pib_translation_tamil_telugu
|
NIv2
|
fs_opt
| 6
|
train
|
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
Ex Input:
இப்படி இருக்கக் கூடாது. ஆனால் நடக்கிறது.
Ex Output:
అది కారణం కాకూడదు కానీ, అది అలానే జరుగుతుంది.
Ex Input:
இதன் மூலம் இந்தியா-பூடான் பொருளாதார உறவுகள் வலுப்படுவதோடு, புனல் மின்சாரத் துறையில் ஒத்துழைப்பு அதிகரிக்கும்.
Ex Output:
భారతదేశం-భూటాన్ ల ఆర్థిక సంబంధాలు, ప్రత్యేకించి జల విద్యుత్తు సంబంధిత సహకార రంగం లో పరస్పర సంబంధాలు మరియు భారతదేశం-భూటాన్ సంబంధాల సర్వతోముఖ అభివృద్ధి ని పటిష్టపరచాలి.
Ex Input:
அவர்கள் இந்துக்களுக்கான சட்டங்களிலிருந்து தொடங்கினர்.
Ex Output:
|
వారు హిందూ కోడ్ బిల్లు తో మొదలుపెట్టారు.
|
task1075_pib_translation_tamil_telugu
|
NIv2
|
fs_opt
| 1
|
train
|
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
[Q]: மொழி அடிப்படையில் இரு நாடுகளும் பல பொதுவான அம்சங்களை உள்ளடக்கியதாக திகழ்கின்றன.
[A]: ఇరు దేశాల ఉమ్మడి సాంస్కృతిక వారసత్వాన్ని పరిగణన లోకి తీసుకొంటే ఈ ఒప్పందం రెండు దేశాలకు ఎంతో లాభదాయకం కాగలదు.
[Q]: நரேந்திர மோடி அவர்களால் கடந்த 2014ம் ஆண்டு ஆகஸ்ட் 15ம் தேதி அறிவிக்கப்பட்டது.
[A]: ఈ పథకాన్ని ప్రధాన మంత్రి 2014, ఆగస్టు 28వ తేదీ నాడు జాతీయ స్థాయి లో లాంఛనంగా ప్రారంభించారు.
[Q]: நிதி செலவீடுகள்:
[A]:
|
ఆర్థిక భారం:
|
task1075_pib_translation_tamil_telugu
|
NIv2
|
fs_opt
| 5
|
train
|
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
ஷ்ரவணபெலகோலாவில் நடைபெற்ற பொதுக் கூட்டத்தில் பேசிய பிரதமர், நமது மண்ணின் துறவிகளும், தீர்க்கதரிசிகளும் எப்பொழுதும் சமூகத்திற்கு சேவை செய்து நல்ல மாற்றத்தைக் கொண்டு வந்துள்ளனர்.
|
శ్రావణబెళగోళ లో సభికులను ఉద్దేశించి ప్రధాన మంత్రి ప్రసంగిస్తూ, మన దేశానికి చెందిన సాధువులు మరియు మునులు ఎల్లవేళలా సమాజానికి సేవలు అందించారని, అంతేకాకుండా వారు ఒక సకారాత్మక వ్యత్యాసాన్ని కూడా తీసుకువచ్చారని పేర్కొన్నారు.
|
task1075_pib_translation_tamil_telugu
|
NIv2
|
zs_opt
| 0
|
train
|
instruction:
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
question:
இந்த உணர்வோடும் புதியதொரு உறுதியோடும் நாம் முன்னேறிச் செல்ல வேண்டும்.
answer:
ఈ స్పూర్తి తో, కొత్త సంకల్పం తో మనం తప్పక ముందుకు సాగాలి.
question:
இந்த கெட்ட நடைமுறையை பல இஸ்லாமிய நாடுகள் நீண்டகாலத்துக்கு முன்பே ரத்து செய்துவிட்டன.
answer:
చాలా ఇస్లామిక్ దేశాలు ఈ దురాచారాన్ని ఎంతో కాలం క్రితమే నిర్మూలించాయి.
question:
ஆயுஷ்மான் பாரத் திட்டத்தின் ஒருங்கிணைந்த ஆரம்ப சுகாதாரத் திட்டத்தின் கீழ், மக்களின் வீடுகளுக்கு அருகே உள்ள ஆரம்பச் சுகாதார நிலையங்கள் அளவிலேயே நோய்த் தடுப்பு மற்றும் சிகிச்சைச் சேவைகளை நாம் வழங்கவிருக்கிறோம்.
answer:
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ఆయుష్మాన్ భారత్ లో నిర్దేశించుకొన్న సమగ్ర ప్రాథమిక ఆరోగ్య సంరక్షణ లో భాగంగా మేము ప్రజలకు వారి ఇళ్ళ సమీపంలోనే నివారక మరియు రోగ నాశక సేవలను అందిస్తాము.
|
task1075_pib_translation_tamil_telugu
|
NIv2
|
fs_opt
| 9
|
train
|
Definition: A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
Input: இவற்றை எல்லாம் கணக்கில் எடுக்கும்போது ஒரு நாளுக்கு சராசரியாக மூன்று கடமைகள் என்பதாக இருக்கும் என்றே நான் கருதுகிறேன்.
Output:
|
మేము లెక్కపెట్టడం మొదలుపెడితే, మేము చేసిన పనులు సగటు న రోజు కు మూడు ఉంటాయి.
|
task1075_pib_translation_tamil_telugu
|
NIv2
|
zs_opt
| 2
|
train
|
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
One example is below.
Q: இந்தியா அல்லது உஸ்பெகிஸ்தானிடமிருந்து அறிவிப்பு வந்த நாளிலிருந்து ஆறு மாதத்திற்கு பிறகு இந்த ஒப்பந்தம் காலவதியாகிவிடும்
A: భారతదేశం లేదా ఉజ్బెకిస్తాన్ నుండి ప్రకటన తర్వాత రోజు నుండి ఆరు నెలల తరువాత, ఈ ఒప్పందం సకాలంలో ఉంటుంది
Rationale: Correct translation for given sentence. Input sentence means 'After six months from the day after the announcement from India or Uzbekistan, this agreement will be timely' which is the same as the output sentence.
Q: பிரதமரின் முத்ரா திட்டப் பயனாளிகள், பிரதமருடனான கலந்துரையாடலின் போது தங்களது வெற்றி அனுபவங்களை பகிர்ந்து கொண்டனர்
A:
|
ప్రధాన మంత్రి తో సమావేశమైన సందర్భంగా తమ విజయగాథ లను వెల్లడించిన ప్రధాన మంత్రి ముద్ర యోజన లబ్ధిదారులు
|
task1075_pib_translation_tamil_telugu
|
NIv2
|
fs_opt
| 9
|
test
|
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
Q: இந்த விண்வெளிப் பயணம் மேற்கொள்ளப்படும் பட்சத்தில் இந்த சாதனையை நிகழ்த்தும் உலகின் நான்காவது நாடாக இந்தியா இருக்கும் எனவும் அவர் குறிப்பிட்டார்.
A:
|
ఇటువంటి పని ని చేపట్టే నాలుగో దేశం గా భారతదేశం పేరు తెచ్చుకోనుందని ఆయన తెలిపారు.
|
task1075_pib_translation_tamil_telugu
|
NIv2
|
zs_opt
| 4
|
validation
|
In this task, you are given dvd product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
--------
Question: indispensable . indispensable; pour moi le premier de la franchise à être culte; contenu au niveau de l'oeuvre
Answer: POS
Question: Martin Scorcese au sommet de son art . Un des meilleurs films sur la mafia jamais réalisé. Après les affranchis, Scorcese nous livre une vision d'une rare ignominie sur la mafia, plus réelle que nature. De Niro est parfait dans son role, Sharon Stone également. Enfin, un Joe Pesci plus " excité " que jamais. A voir, à revoir, et à posséder absolument.
Answer: POS
Question: Manque la VOST . Je suis un peu déçu que l'on ne puisse pas regarder les épisodes en VOST en effet le français est imposé il n'y a pas d'autre choix... en espérant que le distributeur va faire le nécessaire pour les autres saisons à venir.
Answer:
|
POS
|
task483_cls_french_dvd_classification
|
NIv2
|
fs_opt
| 7
|
train
|
Teacher:In this task, you are given dvd product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Teacher: Now, understand the problem? Solve this instance: Un film bien agréable! . Voilà un film qui mérite plus de considération que sa mièvre (et pauvre) publicité! Le réalisateur nous présente ici sa vision de la jeunesse de Jane Austen, ou du moins une période de sa vie qui l'aurait inspirée pour ses romans à venir - essentiellement Orgueil et Préjugés, mais pas seulement - basée sur des faits réels bien que romancés pour le bien du scenario. On voit en chacun des personnages du film un trait de caractère des futurs héros des grands romans d'Austen, et par là l'idée que l'expérience personnelle amène à réellement maîtriser un sujet. Les clins d'oeil sont nombreux sans être outranciers! Enfin, comme dans ses livres, ce sont les personnages qui en font tout le charme! Anne Hathaway, quoi qu'on ait pu lui reprocher, est éblouissante, fraîche et juste. James McAvoy est époustouflant, passant d'insupportable de suffisance à charmant et sensible. L'alchimie entre les deux acteurs est indéniable et on y croit jusqu'au bout! Les seconds rôles sont également excellents : Maggie Smith est austère à souhait, l'acteur jouant M. Wisley est à la fois agaçant et touchant, la cousine Eliza est parfaite dans son rôle de femme moderne menant sa vie comme bon lui semble... bref, un casting vraiment réussi! De bonnes répliques, un cadre magnifique et de beaux costumes (surtout assez justes, eux aussi. La famille Austen n'est pas très riche et on ne voit pas Jane avec 57 robes différentes - "erreur" souvent commise dans les films d'époques) Certes plutôt estampillé "film de filles" mais vraiment très agréable à regarder!
Student:
|
POS
|
task483_cls_french_dvd_classification
|
NIv2
|
zs_opt
| 6
|
train
|
Instructions: In this task, you are given dvd product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: Quelle déception !!! . J'ai rarement vu une adaptation si ratée. Hulk est tout moche, tout difforme, vraiment pas terrible. A moins d'être un super fan très accro de Hulk, ne dépensez pas un sou pour ce DVD. A éviter absolument pour les nostalgiques de la série TV.
Output:
|
NEG
|
task483_cls_french_dvd_classification
|
NIv2
|
zs_opt
| 3
|
train
|
In this task, you are given dvd product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
--------
Question: Bonne copie! . Oui c'est bien, pas mal du tout même, mais faut quand se rendre compte que c'est une copie d'Assaut de John Carpenter, et rien de plus! Un cran en dessous, mais un bien bel hommage quand même. Ca nous change des 'Taxis' et de tout ce qui sort de sois-disant 'comique' et qui fait plus rire personne. On Nacéry comme ça! J'vous l'dis moi, fini la rigolade... Bzzzzzzzzzzz
Answer: POS
Question: Une grande oeuvre pédagogique sur le Roi Soleil . Ce film a été tourné pour la télévision et Rossellini a participé à ce projet dans le but de "travailler pour la culture et l'instruction". La prise de pouvoir comme son nom ne l'indique pas est aussi un film sur Louis XIV et la cour, la rivalité avec Fouquet, les relations du Roi avec sa mère et avec Colbert, la construction du château de Versailles, les divertissements du Roi (la chasse) et l'apparat (la scène du repas du Roi est mémorable). Ce film de Rossellini doit se regarder avant tout comme une oeuvre pédagogique mais passionnante qui a la particularité de ressembler quasiment à un documentaire tant le récit colle à l'histoire.
Answer: POS
Question: Remake aussi consternant qu'inutile . "L'auberge rouge", notre "Massacre à la tronçonneuse" à nous, c'était une comédie noire avec Fernandel découvrant deux taverniers trucidant leurs clients dans un bouiboui paysan de la Restauration. C'est désormais une pochade de Gérard Krawczyk avec trois stars du Splendid en déficit de créativité (à savoir Gérard Jugnot, Josiane Balasko et Christian Clavier, également co-scénariste). Un parallèle s'impose avec , dont "L'auberge rouge" s'affirme comme un remake gérontologique à peine déguisé : même volonté d'épate visuelle, même amalgame entre vitesse et hystérie. Mais voilà, si Jean-Marie Poiré faisait peut-être dix plans à la seconde, sa technique engendrait plus de vitalité que le moindre mouvement d'appareil pseudo-gothique de Gérard Krawczyk. Un jour, c'est certain, quelqu'un décryptera la grammaire binaire du yes man le plus horripilant du cinéma d'exploitation français, son renoncement à toute construction, toute identité, sa désinvolture robotique à siphonner les images des autres (Tim Burton ici, terrible). Cet homme est l'anti De Palma par excellence : la moindre image perd tout sens et tout mystère, rien n'échappe à l'illustration technicienne la plus théorique, comme si le film consistait en un gros story-board rouillé sans contre-champ possible. "L'auberge rouge" respire la vulgarité braillarde et fastoche, nanar bling bling fier de ses atours et sûr de ses effets (les décors ciselés, les répliques), programme froid comme la mort où tout s'éteint à vue d'oeil, ballet de rupins fatigués qui s'étiolent au gré des mauvaises blagues et des enjeux narratifs bâclés. Summum de l'horreur, le running gag du bûcheron qui tombe dans le vide, mauvaise blague rejouée à l'infini, filmée à l'identique, épouvantable allégorie d'un film prisonnier de ses mécanismes, que ni la honte ni la fatigue ni même la mort ne peut enrayer.
Answer:
|
NEG
|
task483_cls_french_dvd_classification
|
NIv2
|
fs_opt
| 7
|
train
|
Detailed Instructions: In this task, you are given dvd product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Problem:grosse déception . Ayant apprécié the Descent je suis allée voir Doomsday et j'ai regretté mon choix! Le début est pas mal mais dès que le personnage principal rencontre les "locataires" de la zone infectée ça dérappe et ça devient du grand n'importe quoi!Avec en prime une musique horrible je me suis cru dans une mauvaise série B adaptaté d'un jeu vidéo. Si je n'avais pas payé ma place de ciné j'aurais rigolé mais là ce n'était pas le cas. Dans le même style le film "Ghost of Mars" est plus réussi!!!!
Solution:
|
NEG
|
task483_cls_french_dvd_classification
|
NIv2
|
zs_opt
| 8
|
train
|
Detailed Instructions: In this task, you are given dvd product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Q: d'après Dickens . Cette adaptation d'un conte de Noel de Dickens est une réussite. Elle doit beaucoup à George C. Scott dont l'interprétation est comme souvent remarquable et aux décors. A l'origine, il s'agit d'un téléfilm, mais bien des films de cinéma sont inférieurs à ce téléfilm-là. Uniquement en version originale sous-titrée. Pas de version française, dommage car ce conte un tantinet macabre s'adresse aussi aux enfants !
A:
|
POS
|
task483_cls_french_dvd_classification
|
NIv2
|
zs_opt
| 9
|
train
|
In this task, you are given dvd product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
CIRCUS ET TARTIGNOLE . Complètement tarte, et comme la plupart des films dont le pseudo-succès spectateur est basé sur des effets spéciaux, il passera aux oubliettes, dès l'effet de pub-médiatique passé. Historiquement : c'est nul ! Scénario, dialogues : là c'est carrément grotesque. Reste le côté esthétique de tous ces "beaux garçons si bien habillés, je les aime, oh oui j'les aime" comme dirait Mr Eddy, et bien moi je ne les aime pas du tout. Et si tout le film avait été tourné en vitesse normale, y'avait juste de quoi faire un clip. Ah j'oubliais la B.O. : chef d'oeuvre de bon gout, oreilles sensibles s'abstenir
|
NEG
|
task483_cls_french_dvd_classification
|
NIv2
|
zs_opt
| 0
|
train
|
In this task, you are given dvd product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
[Q]: A voir en famille . Un film familial sur les aventures d'une jeune douée en science qui aime le patinage
[A]: POS
[Q]: Pas fan... . Aimant généralement les films de Kubrick, j'ai été très déçue ici. Le film est lent, certains dialogues sont ridicules, la musique plus proche du bruit qu'autre chose... c'est indéniable ce film a vieilli. Si vous comptez vous faire peur, passez votre chemin.
[A]: NEG
[Q]: Attention : ce n'est pas la version intégrale ... . Il s'agit de la version tronquée (de + d'une heure !!!) par la production lors de la sortie du film et pas la version telle qu'elle a été voulue par Cimino. Attendons la sortie de la version intégrale (qui existe en Zone 1) ...
[A]:
|
NEG
|
task483_cls_french_dvd_classification
|
NIv2
|
fs_opt
| 5
|
train
|
Detailed Instructions: In this task, you are given dvd product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Problem:zzzzzzzzzzzzz...................zzzzzzzzzzzzzzzzzzzz........ . je me suis presque endormi en regardant ce navet! Cinématiquement, il est raté, et historiquement, il déshonore Alexandre. Le bonus est réussi, mais le film est tellement nul que je mets une étoile.
Solution:
|
NEG
|
task483_cls_french_dvd_classification
|
NIv2
|
zs_opt
| 8
|
test
|
Definition: In this task, you are given dvd product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: Une merveille . J'ai ce DVD depuis plusieurs mois (1an ou plus ?) et je ne m'en lasse pas...Dommage qu'il n'y ait pas forcément de sous titres français pour comprendre le contenu des interviews ! Mais si comme moi vous n'avez pu pas aller les voir à Paris, ce DVD vous consolera largement ! Regardez "Gunning down romance" !
Output:
|
POS
|
task483_cls_french_dvd_classification
|
NIv2
|
zs_opt
| 2
|
validation
|
Instructions: Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
Input: you have my vote! Those idiots in Juneau, I wonder who voted against this unnecessary stupid law.
Output:
|
Yes
|
task1721_civil_comments_obscenity_classification
|
NIv2
|
zs_opt
| 3
|
train
|
Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
Q: wow.....to come off even dumber than Trump is a real feat these days, but you've done it, Martin! your level of ignorance is yuuuuuge.
A:
|
Yes
|
task1721_civil_comments_obscenity_classification
|
NIv2
|
zs_opt
| 4
|
train
|
Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
One example is below.
Q: Will this remove the property from city taxes?
A: No
Rationale: The comment here is just a normal question without any indecent words and categorized as not obscene. Hence, it is a positive example
Q: sounds typical, try and blame a worker, never procedures or equipment
A:
|
No
|
task1721_civil_comments_obscenity_classification
|
NIv2
|
fs_opt
| 9
|
train
|
Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
Let me give you an example: Will this remove the property from city taxes?
The answer to this example can be: No
Here is why: The comment here is just a normal question without any indecent words and categorized as not obscene. Hence, it is a positive example
OK. solve this:
Well folks, I tell ya, this election period, with all the debates, primaries, town halls, speeches, etc., has been the most interesting/ridiculous/important/emotion provoking/depressing/exciting one in my many years. I have gone way beyond being shocked or upset or surprised by anything anyone of these dudes and dudettes may come up with. Some have had some very good, intelligent, and maybe even workable ideas and programs. Others have said things my 4 year old grandkid would know was bogus and dumb as dirt. No matter what side you guys are on, and how much you argue, and how many 'facts' you have, and what social status you have, there are plenty of skeletons in closets, lies told, accusations made, all things good and bad to extreme, to go around for all. Almost everyone here is interested and cares about this country, or you would not be here. I have asked myself a lot 'is this the best we have to chose from, in all the country?' Damn, a scary thought! I hope we can get it together
Answer:
|
Yes
|
task1721_civil_comments_obscenity_classification
|
NIv2
|
fs_opt
| 8
|
train
|
Part 1. Definition
Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
Part 2. Example
Will this remove the property from city taxes?
Answer: No
Explanation: The comment here is just a normal question without any indecent words and categorized as not obscene. Hence, it is a positive example
Part 3. Exercise
The points I found relevant to why persons would use a dispensary over the black market are convenience, knowledgeable information about the selections and variety of choices. It's there if the reader reads carefully. What is missing is that street pot is not tested for additives and pests.
Answer:
|
No
|
task1721_civil_comments_obscenity_classification
|
NIv2
|
fs_opt
| 7
|
train
|
instruction:
Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
question:
Most Alaskan oil & gas experts & leaders testified to the Legislature; Do Not Pass HB 247!
It kills the oil industry and shuts TAPS down with 90% of the state's income and all the PFD income!
Oil Price will go up next year! The Saudi oil glut will pass but taxing the state oil workers out of business and keeping oil and gas investment out will ruin Alaska under SB 130 (tax oil workers to death), HB 247 ( tax oil investors out of Alaska for decades)!!
The solution is clear: don't panic and use the $ 10 Billion in the Constitutional Reserve to pay the prepared Capital Budget and do no harm, next year oil prices may increase and all will be well.
If not Alaska will still have over $ 6 Billion in Constitutional Budget Reserve to pay the next year's Capital Budget!
With $ 3 Billion left over for the following year!
It is wrong to pass HB 250, it takes Alaskans money & HB 245 takes the Permanent fund so Government can better pay themselves at the people's expense!
Use the savings!
answer:
No
question:
Three complete idiots, now of the streets.
answer:
Yes
question:
With nearly $15.00 per hour coming down the pike, this will become all too common in Oregon.
What's next, Royal Caribbean? Pen Fed Credit Union? Other local call centers that can pack up and move to other parts of the US or worse yet, over seas.
Making $10.00 to $12.00 per hour / 40 hours a week is better than $15.00 per hour / Zero hours a week.
answer:
|
No
|
task1721_civil_comments_obscenity_classification
|
NIv2
|
fs_opt
| 9
|
train
|
You will be given a definition of a task first, then some input of the task.
Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
I can see why comments taper off when you two guys appear with you comments. Neither of you has the remotest idea what you are talking about. Those damns are a spit in the ocean in terms of the electricity they generate. They were build to electrify the Rogue Valley in the early 20th century and have long outlived their usefulness. As the editorial writer says, the region is awash in surplus hydro from the Columbia River damns since the aluminum industry closed down. The region's utilities has been closing nuclear and fossil fuel plants because they are necessary. Do a bit of homework guys, before shooting off...your comments. You won't sound so foolish.
Output:
|
Yes
|
task1721_civil_comments_obscenity_classification
|
NIv2
|
zs_opt
| 1
|
train
|
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
Will this remove the property from city taxes?
Solution: No
Why? The comment here is just a normal question without any indecent words and categorized as not obscene. Hence, it is a positive example
New input: It's difficult to have a 'war' if one side is totally unarmed as a result of their own personal choice.
The anti-gun nuts are not those with the 310 million civilian firearms in their possession. It's more like the bleating of sheep where the wolves are in the majority.
Fortunately, the wolves are not feeling threatened. Yet.
Solution:
|
No
|
task1721_civil_comments_obscenity_classification
|
NIv2
|
fs_opt
| 0
|
train
|
Q: Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
As far as I'm concerned anything written by Andree McLeod qualifies as awfully ignorant...
A:
|
Yes
|
task1721_civil_comments_obscenity_classification
|
NIv2
|
zs_opt
| 7
|
test
|
Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
--------
Question: Cydney asks : "What do you suggest?" - That's a tough one. I've spent years doing professional technical work via "leaderless" email lists. In those cases, there is a shared purpose. Still, "flame wars" do break out. In most cases, other individuals on the list will eventually step in and ask for a cessation of hostilities. Most of these email lists have an "owner" who can ban troublesome individuals.
Hal says : "It truly is a shame that this cannot be used for an adult discussion of important community and state issues." That statement is spot on. So much wasted time and opportunity where real issues could be solved or at least addressed! This kind of virtual turd-throwing (like simians in a zoo) is a great part of what is wrong with our republic.
Answer: No
Question: 1. Would you guys quit showing the picture of this punk.
2.“It is up to God to punish homosexuals. It is not up to servants,” the US resident added, sitting before a flag of his home country Afghanistan."
Answer: Yes
Question: Damm, read a lot of comments, some were on point, some were just political, some even referenced san fran, guess they were talking about anch being a sanctuary city also, plus all the hand outs at the parks, well the point is, the OWNERS of these planes earned those tires, and the vec's that sat on top of them, they worked for them, I know because I have never found a free one yet, I hope they catch them, prosecute them and lets see what our criminal system does, I have $100.00 that says, these are poor misguided souls and nothing happens, because we are a soft , kind hearted people, sorry bastards,,,
Answer:
|
Yes
|
task1721_civil_comments_obscenity_classification
|
NIv2
|
fs_opt
| 7
|
validation
|
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: Long lineups of customers were waiting at Australian stores for the first day of iPhone sales there, where the phone is supported by Telstra, Optus and Vodafone.
A:
|
ग्राहकों की लंबी कतारें iPhone की बिक्री के पहले दिन ही ऑस्ट्रेलियाई दुकानों पर इंतजार कर रही थीं, जहां फोन को टेल्स्ट्रा, ऑप्टस और वोडाफोन द्वारा समर्थित किया जाता है।
|
task432_alt_en_hi_translation
|
NIv2
|
zs_opt
| 9
|
train
|
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: The two share a distinct genetic marker not present in other brown bears, strongly suggesting that all modern polar bears are descended from the same extinct species.
A:
|
दोनों में एक अलग आनुवंशिक मार्कर मौजूद है, जो अन्य भूरे भालू में मौजूद नहीं है, दृढ़ता से सुझाव जिया गया है कि सभी आधुनिक ध्रुवीय भालू एक ही विलुप्त प्रजाति के वंशज हैं।
|
task432_alt_en_hi_translation
|
NIv2
|
zs_opt
| 9
|
train
|
TASK DEFINITION: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
PROBLEM: According to Jackson, "We just reached a point where it was going to be difficult for him to go on without pain."
SOLUTION: जैक्सन के अनुसार, "हम बस एक ऐसे बिंदु पर पहुंच गए थे, कि जहां उस के लिए बिना दर्द के गुजरना मुश्किल हो रहा था।"
PROBLEM: "We are confident the potential outbreak will not affect the Beijing Olympic Games," China's Health Ministry spokesman Mao Qunan stated.
SOLUTION: चीन के स्वास्थ्य मंत्रालय के प्रवक्ता माओ कुनैन ने कहा, "हमें विश्वास है कि बीजिंग ओलंपिक खेलों में संभावित प्रकोप का असर नहीं होगा।"
PROBLEM: It was kept in excellent condition by a thick layer of sheep excrement, which acted as a seal, helping it survive the millennia.
SOLUTION:
|
भेड़ के मलमूत्र की मोटी परत द्वारा इसे उत्कृष्ट स्थिति में रखा गया था, जो एक सील के रूप में कार्य करती थी, जिससे सहस्राब्दियों तक जीवित रहने में मदद मिली।
|
task432_alt_en_hi_translation
|
NIv2
|
fs_opt
| 8
|
train
|
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: The latter had visited the Vatican City three times and had invited the Pope to come to Great Britain in February 2009.
A:
|
प्रधानमंत्री ने वेटीकन सीटी की यात्रा तीन बार की थी और पोप को फ़रवरी 2009 में ग्रेट ब्रिटेन आने के लिए आमंत्रित किया था।
|
task432_alt_en_hi_translation
|
NIv2
|
zs_opt
| 9
|
train
|
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
The source for the translation and dissemination of the documents into English, French and German calls itself the Iran of Tomorrow Movement (IOTM), an exile group operating from Encino, California in the United States.
Output:
|
अंग्रेजी, फ्रेंच और जर्मन में दस्तावेज़ों के अनुवाद और प्रसार के लिए स्रोत खुद को ईरान ऑफ टुमॉरो मूवमेंट (IOTM) कहता है, जो संयुक्त राज्य अमेरिका में कैलिफोर्निया के एनिनो से संचालित एक निर्वासित समूह है।
|
task432_alt_en_hi_translation
|
NIv2
|
zs_opt
| 1
|
train
|
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: They proposed to remove Intelligent Design from the biology curriculum but allow discussion of Intelligent Design in courses dealing with philosophy and comparative religion.
A:
|
उन्होंने जीव विज्ञान पाठ्यक्रम से इंटेलिजेंट डिज़ाइन को हटाने का प्रस्ताव रखा, लेकिन दर्शन और तुलनात्मक धर्म से संबंधित पाठ्यक्रमों में इंटेलिजेंट डिज़ाइन की चर्चा की अनुमति दी।
|
task432_alt_en_hi_translation
|
NIv2
|
zs_opt
| 9
|
train
|
Part 1. Definition
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Part 2. Example
Italy have defeated Portugal 31-5 in Pool C of the 2007 Rugby World Cup at Parc des Princes, Paris, France.
Answer: 2007 में फ़्रांस, पेरिस के पार्क डेस प्रिंसेस में हुए रग्बी विश्व कप के पूल C में इटली ने पुर्तगाल को 31-5 से हराया।
Explanation: This is a correct and accurate translation from English to Hindi because translated text is just paraphrased of English sentence. Also, it preserves the numbers as it is.
Part 3. Exercise
The 28 year old was injured in a tackle by Joe Jacobson and the game was delayed before he was taken to hospital.
Answer:
|
28 वर्षीय डायर, जोकोबसन से टकराकर घायल हो गए और अस्पताल ले जाने तक खेल रुका रहा, जिससे खेल में देरी हो गई।
|
task432_alt_en_hi_translation
|
NIv2
|
fs_opt
| 7
|
train
|
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
The eviction comes after increasing international pressure on Israel to stop settlement activity and end home evictions.
Output:
|
बंदोबस्त गतिविधि को रोकने और घर से निष्कासन समाप्त करने के लिए इजरायल पर अंतरराष्ट्रीय दबाव बढ़ने के बाद निष्कासन आता है।
|
task432_alt_en_hi_translation
|
NIv2
|
zs_opt
| 1
|
train
|
Definition: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: The bomb threat, originally discovered on 4chan, stated that truck bombs containing radiological materials would be detonated during the football games this Sunday.
Output:
|
मूल रूप से 4chan पर खोजे गए बम के खतरे के बारे में कहा गया कि इस रविवार को फ़ुटबॉल खेलों के दौरान रेडियोलॉजिकल सामग्री वाले ट्रक बम विस्फ़ोट किए जाएंगे।
|
task432_alt_en_hi_translation
|
NIv2
|
zs_opt
| 2
|
test
|
Teacher: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? If you are still confused, see the following example:
Italy have defeated Portugal 31-5 in Pool C of the 2007 Rugby World Cup at Parc des Princes, Paris, France.
Solution: 2007 में फ़्रांस, पेरिस के पार्क डेस प्रिंसेस में हुए रग्बी विश्व कप के पूल C में इटली ने पुर्तगाल को 31-5 से हराया।
Reason: This is a correct and accurate translation from English to Hindi because translated text is just paraphrased of English sentence. Also, it preserves the numbers as it is.
Now, solve this instance: This is the first minority government in Quebec in more than 100 years since the year 1878.
Student:
|
वर्ष 1878 से 100 से अधिक वर्षों में क्यूबेक में यह पहली अल्पसंख्यक सरकार है।
|
task432_alt_en_hi_translation
|
NIv2
|
fs_opt
| 2
|
validation
|
Q: In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Google "propylene glycol" to find out why. I bought this product, along with several others, without running the ingredients by my wife first (a nurse of 30 years) she was surprised when she noticed it.. we went a googling, and poured my $50 order down the drain afterwards. There's "pure" and then there's "not so much"..... from the website: [...] Propylene Glycol A cosmetic form of mineral oil found in automatic brake and hydraulic fluid and industrial antifreeze. In the skin and hair, propylene glycol works as a humescent, which causes retention of moisture content of skin or cosmetic products by preventing the escape of moisture or water. The Material Safety Data Sheet warns users to avoid skin contact with propylene glycol as this strong skin irritant can cause liver abnormalities and kidney damage. Also used in: Tyre sealant Rubber cleaner De-icer Stain removers Fabric softener Degreaser Paint Adhesive Wallpaper stripper I wrote the company about this concern and they never responded....
A:
|
1
|
task588_amazonfood_rating_classification
|
NIv2
|
zs_opt
| 7
|
train
|
Instructions: In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Input: Whats there to say about a fantastic chocolate chip cookie! The only thing that could be improved is if they offered a bushel box of these so you would not run out so fast. Hope these don't go the way of the dinosaur!
Output:
|
5
|
task588_amazonfood_rating_classification
|
NIv2
|
zs_opt
| 3
|
train
|
Teacher:In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Teacher: Now, understand the problem? Solve this instance: I've tried ever single brand of K-cup hot chocolate and this is absolutely the best one. It is the only one that actually tastes like the real stuff.
Student:
|
5
|
task588_amazonfood_rating_classification
|
NIv2
|
zs_opt
| 6
|
train
|
Given the task definition and input, reply with output. In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
I baked my first batch of these muffins and was pleased that they were so easy to make and tasted so good. Then I stored them in the refrigerator since gluten free home baked goods are notorious for molding. I ate one straight out of the frig and it was great! I guess the flavors melded together after being stored a few hours. I finished the batch one at a time out of the frig without re-heating any of them. They were so good that way I couldn't bring myself to try them any other way. :) Our family has been navigating the area of gluten free eating for over 10 years. The choices just keep getting better as more companies are becoming aware of celiac disease. I have created an astore through Amazon that has the gluten free items we have had the pleasure of trying. [...]
|
5
|
task588_amazonfood_rating_classification
|
NIv2
|
zs_opt
| 5
|
train
|
Detailed Instructions: In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
See one example below:
Problem: I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like a stew than a processed meat and it smells better. My Labrador is finicky and she appreciates this product better than most.
Solution: 5
Explanation: The user really seem very satisfied with the product and gave good review worthy of 5 stars rating.
Problem: Yes I had the original Turkish Taffy - No this is nothing like it - The people who are writing the positive reviews are probably shills for the company that bought the brand name. This is made with artificial flavor, mono and di-glycerides, and egg albumin - it's soft and tastes fake. Any wax wrapped taffy that you buy in the store (although not the Bonomo style) wil probably be much better quality than this. Don't waste your time.
Solution:
|
1
|
task588_amazonfood_rating_classification
|
NIv2
|
fs_opt
| 4
|
train
|
Part 1. Definition
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Part 2. Example
I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like a stew than a processed meat and it smells better. My Labrador is finicky and she appreciates this product better than most.
Answer: 5
Explanation: The user really seem very satisfied with the product and gave good review worthy of 5 stars rating.
Part 3. Exercise
Bought these for a birthday and they were perfect--all arrived uncracked and wrapped really well. Super cute and perfect for 4 year olds.
Answer:
|
5
|
task588_amazonfood_rating_classification
|
NIv2
|
fs_opt
| 7
|
train
|
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
One example: I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like a stew than a processed meat and it smells better. My Labrador is finicky and she appreciates this product better than most.
Solution is here: 5
Explanation: The user really seem very satisfied with the product and gave good review worthy of 5 stars rating.
Now, solve this: Two words: potato flakes. Not sure what the buzz about these is. Try one bag before you buy a case. Can't be returned.
Solution:
|
1
|
task588_amazonfood_rating_classification
|
NIv2
|
fs_opt
| 6
|
train
|
instruction:
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
question:
It's that good! Heaven if you like cinnamon. Tastes sweet with no sugar.
answer:
5
question:
I love the flavor that this hot chocolate has. It is very rich and smooth. Have tried other brands but did not get the results I wanted. I will definately be ordering from this company again.
answer:
5
question:
Drawer is much larger than it appears in photo and takes up much more space on the cabinet surface. The drawer is sticky and not easily opened or closed. I would not purchase again.
answer:
|
1
|
task588_amazonfood_rating_classification
|
NIv2
|
fs_opt
| 9
|
train
|
You will be given a definition of a task first, then some input of the task.
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
These remind me of dog treats I made once using pumpkin and cinnamon. They're kind of bland and not my favorite Back To Nature product. But my finace really loves them so that's where the three stars come from.
Output:
|
3
|
task588_amazonfood_rating_classification
|
NIv2
|
zs_opt
| 1
|
test
|
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Q: I was expecting to receive only Starburst. When I received this it was half Skittles which I did not want or need. I needed only Starburst. Next time I will just go to the store.
A:
|
3
|
task588_amazonfood_rating_classification
|
NIv2
|
zs_opt
| 4
|
validation
|
Given the background description of some cooking related query, summarize the question into a title
--------
Question: What are my options for cooking an eye of round roast? What's the best way to cook this cut of meat to minimize the potential for it to dry out?
Answer: How to cook eye of round roast?
Question: I have an open bottle of lemon juice that I've been keeping in the fridge. I just took it out to dress a salad and it fizzed like soda when I opened the bottle and smells like... took me a minute to place it... yeast. What's going on? Should I throw it out?
Answer: Why is my lemon juice fizzing and smelling like yeast?
Question: How can frozen pizza be baked in an oven without a tray, without running the risk of melting like in the picture below (found on teh internets)? Or does that just not happen?
Answer:
|
Bake frozen pizza without a tray - will it melt and drip?
|
task1637_doqa2_1_cooking_text_summarization
|
NIv2
|
fs_opt
| 7
|
train
|
Given the background description of some cooking related query, summarize the question into a title
One example is below.
Q: I recently attempted to grill duck legs on my propane Webber. I was afraid of flare-ups due to the high fat content in the duck meat so I grilled with somewhat low and indirect heat. It took a long time, but I got them looking lovely and brown and not burned. The only problem was this: they were tough and didn't taste very good at all. Clearly I did something very wrong. Any advice?
A: Tips for grilling duck legs?
Rationale: A person gives a detailed description about grilling duck legs and the process they followed for the same. However, at the end the duck legs did not turn out well, so the person wants tips about how to properly grill duck legs. The question is summarized as Tips for grilling duck legs? for easy indexing next time someone searches for a similar query
Q: I recently got a L'Equip food dehydrator and have had some good success playing around with it. But I'm interested to know if I can dehydrate different food stuffs at the same time. For instance, could I throw jerky on one tray, onions on another, and strawberries on a third (assuming they all wanted the same time / temp) or would my strawberries end up tasting a bit like oniony beef? What kind of things would cause this contamination?
A:
|
Can I dehydrate multiple different types of food at the same time?
|
task1637_doqa2_1_cooking_text_summarization
|
NIv2
|
fs_opt
| 9
|
train
|
Given the background description of some cooking related query, summarize the question into a title
One example is below.
Q: I recently attempted to grill duck legs on my propane Webber. I was afraid of flare-ups due to the high fat content in the duck meat so I grilled with somewhat low and indirect heat. It took a long time, but I got them looking lovely and brown and not burned. The only problem was this: they were tough and didn't taste very good at all. Clearly I did something very wrong. Any advice?
A: Tips for grilling duck legs?
Rationale: A person gives a detailed description about grilling duck legs and the process they followed for the same. However, at the end the duck legs did not turn out well, so the person wants tips about how to properly grill duck legs. The question is summarized as Tips for grilling duck legs? for easy indexing next time someone searches for a similar query
Q: I use coconut milk for a pasta dishes, then put the carton back in the fridge. I may use some of it for a coffee additive, the use plenty more for another pasta dish or recipe. Alas, I do not cook at home all that often, and sometimes the stored coconut milk tastes bad, so I toss it and go to the store for a fresh carton.What is the shelf life, in a fridge, of coconut milk? Is it actually bad if it tastes bad, or could it still be used at least for some purposes? How to tell if it's about to go bad even if I can't smell anything out of line?
A:
|
Shelf life and Validation of Coconut Milk?
|
task1637_doqa2_1_cooking_text_summarization
|
NIv2
|
fs_opt
| 9
|
train
|
Q: Given the background description of some cooking related query, summarize the question into a title
In the poor student or youth worker days it was popular to have never ending soup; a large pot on the stove that was topped up with new and leftover ingredients when available.Normally the pot was stored in the fridge overnight.Food items added were sometimes plate leftovers from fellow flat (share house) mates, who would in turn be eating the soup, too.Most days other ingredients would be fresh(ish) vegetables, beans, grains, and fresh meat products sourced from the local butcher as money allowed.Brussels sprouts where banned, and so were strong spices (you added those to your bowl before serving).Also, for irony, a large (cleaned) stone is always left in the pot.Fresh bread was sometimes baked in the oven while cracked bones were browning, but the oven was often an electrical and environmental death trap.The pot kept going till the summer holidays, and no one got food poisoning in my time, or from any student stories I have ever heard.This sort of activity is recorded in history as being a popular resource-saving idea.Are there any real food safety implications with this method of cooking? And have any actual studies of this technique ever been published?I still recommend this money-saving idea to current students, not keen on bad practices being continued though.
A:
|
Never ending soup; is it actually safe?
|
task1637_doqa2_1_cooking_text_summarization
|
NIv2
|
zs_opt
| 7
|
train
|
Given the background description of some cooking related query, summarize the question into a title
Recently I browsed for tiramisu recipes where ricotta replaces the mascarpone.In this particular (italian) recipe the sabayon is started by adding hot syrup to whipped yolks: I have always mixed crystal sugar to yolks. What is the point of using hot syrup instead of sugar?
Why mixing hot syrup (sugar + water) into yolks in sabayon?
I have always boiled artichokes. Lately I've heard people talking about how good grilled artichokes are. There's some variation in recipes: some say to boil, some say to steam; some say to cut in half before that and some say after. I don't need a recipe for dipping sauce or anything like that. I'm simply looking for the basic technique on how to grill them. What is the best way to do it? Is there anything else I need to know to make sure they come out well?
How do I best grill an artichoke?
Is it permissible to store and transport an intact wheel of Pecorino cheese at room temperature for 2 or 3 days before putting it back into refrigeration?
|
Storage of Pecorino cheese — is room temperature ok?
|
task1637_doqa2_1_cooking_text_summarization
|
NIv2
|
fs_opt
| 0
|
train
|
Part 1. Definition
Given the background description of some cooking related query, summarize the question into a title
Part 2. Example
I recently attempted to grill duck legs on my propane Webber. I was afraid of flare-ups due to the high fat content in the duck meat so I grilled with somewhat low and indirect heat. It took a long time, but I got them looking lovely and brown and not burned. The only problem was this: they were tough and didn't taste very good at all. Clearly I did something very wrong. Any advice?
Answer: Tips for grilling duck legs?
Explanation: A person gives a detailed description about grilling duck legs and the process they followed for the same. However, at the end the duck legs did not turn out well, so the person wants tips about how to properly grill duck legs. The question is summarized as Tips for grilling duck legs? for easy indexing next time someone searches for a similar query
Part 3. Exercise
How long does fresh parsley stay good if kept in a refrigerator?
Answer:
|
How long does fresh parsley keep in the fridge?
|
task1637_doqa2_1_cooking_text_summarization
|
NIv2
|
fs_opt
| 7
|
train
|
Given the background description of some cooking related query, summarize the question into a title
Example input: I recently attempted to grill duck legs on my propane Webber. I was afraid of flare-ups due to the high fat content in the duck meat so I grilled with somewhat low and indirect heat. It took a long time, but I got them looking lovely and brown and not burned. The only problem was this: they were tough and didn't taste very good at all. Clearly I did something very wrong. Any advice?
Example output: Tips for grilling duck legs?
Example explanation: A person gives a detailed description about grilling duck legs and the process they followed for the same. However, at the end the duck legs did not turn out well, so the person wants tips about how to properly grill duck legs. The question is summarized as Tips for grilling duck legs? for easy indexing next time someone searches for a similar query
Q: Picked up from farmer's market yesterday. Not sure if organic.No smell. Slimey texture. Strong grip. A few have started to sprout.About 4 on this one leaf. Other leafs have none.Any idea what they could be?
A:
|
What is this? Fresh Kale looks to have small sprouting seeds, although looks similar to insect eggs
|
task1637_doqa2_1_cooking_text_summarization
|
NIv2
|
fs_opt
| 3
|
train
|
instruction:
Given the background description of some cooking related query, summarize the question into a title
question:
Like many people, I rely on coffee in the morning to really get me going for the day. I always use more than the directions require to get more caffeine for that extra morning jolt.How much ground coffee should I use to reach caffeine critical mass in my brew? Is there a formula for volume of grounds per unit of water that I can use so I can get the maximum caffeine experience without wasting coffee?
answer:
How can I maximize the caffeine content of my coffee?
question:
Most recipes for salmon soup say that you cook it in just 5-10 minutes. If that were beef or pork, I would boil it for hours. Then why do they say such a short period of time will work with fish? I have no access to fish that is safe to eat raw so I have to properly cook it through. Will salmon really get cooked safely in just 10 minutes?
answer:
How much time does it take to boil salmon?
question:
We're going to try canning some homemade chili with canned kidney beans. Question: Would it be best to add the beans right before canning so they don't get over cooked or do you think there would be little difference if they were cooked with the chili before canning. I'm trying to avoid mushy beans but would like to cook a big pot and can the left overs. I usually add the beans in the last half hour of cooking anyway.
answer:
|
Canning chili with beans
|
task1637_doqa2_1_cooking_text_summarization
|
NIv2
|
fs_opt
| 9
|
train
|
Given the background description of some cooking related query, summarize the question into a title
[EX Q]: I understand that food cooks differently in a double-boiler than when cooked "directly" - but don't know why that is.How does utilizing a double-boiler change how food cooks?
[EX A]: Why does food cook differently in a double-boiler?
[EX Q]: I am a cooking dummy and I hate bitter cucumbers. :) Help!
[EX A]: How to prevent cucumbers from tasting bitter?
[EX Q]: In Masterchef The Professionals (season 8 episode 11), Marcus Wareing demonstrates his skills test and cooks a burger. In the process, he rapidly cools the onions after sweating them by placing them on a freezing tray. Would it make a noticeable difference to skip that step? I never did this and my burgers did not fall apart as he suggests. Is there some other reason for doing this?You can see the episode here (skip to 17:30).
[EX A]:
|
Cooling cooked onions before adding to raw mince
|
task1637_doqa2_1_cooking_text_summarization
|
NIv2
|
fs_opt
| 6
|
test
|
Given the background description of some cooking related query, summarize the question into a title
One example is below.
Q: I recently attempted to grill duck legs on my propane Webber. I was afraid of flare-ups due to the high fat content in the duck meat so I grilled with somewhat low and indirect heat. It took a long time, but I got them looking lovely and brown and not burned. The only problem was this: they were tough and didn't taste very good at all. Clearly I did something very wrong. Any advice?
A: Tips for grilling duck legs?
Rationale: A person gives a detailed description about grilling duck legs and the process they followed for the same. However, at the end the duck legs did not turn out well, so the person wants tips about how to properly grill duck legs. The question is summarized as Tips for grilling duck legs? for easy indexing next time someone searches for a similar query
Q: I would like to make a cheesecake with confectioner's sugar and though it's been awhile since I've made cheesecake, I believe I used normal sugar before. However, I only have confectioner's sugar on hand at the moment.
A:
|
What is the difference between making a cheesecake with confectioner's sugar vs. normal sugar?
|
task1637_doqa2_1_cooking_text_summarization
|
NIv2
|
fs_opt
| 9
|
validation
|
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