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In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
[EX Q]: Who was chair of the IPCC in 1990?, Context: Korean economist Hoesung Lee is the chair of the IPCC since October 8, 2015, following the election of the new IPCC Bureau. Before this election, the IPCC was led by his vice-Chair Ismail El Gizouli, who was designated acting Chair after the resignation of Rajendra K. Pachauri in February 2015. The previous chairs were Rajendra K. Pachauri, elected in May 2002; Robert Watson in 1997; and Bert Bolin in 1988. The chair is assisted by an elected bureau including vice-chairs, working group co-chairs, and a secretariat.
[EX A]: Bert Bolin
[EX Q]: who avenged Chu'Tsai's forefathers?, Context: Genghis Khan realised that he needed people who could govern cities and states conquered by him. He also realised that such administrators could not be found among his Mongol people because they were nomads and thus had no experience governing cities. For this purpose Genghis Khan invited a Khitan prince, Chu'Tsai, who worked for the Jin and had been captured by the Mongol army after the Jin dynasty was defeated. Jin had captured power by displacing Khitan. Genghis told Chu'Tsai, who was a lineal descendant of Khitan rulers, that he had avenged Chu'Tsai's forefathers. Chu'Tsai responded that his father served the Jin dynasty honestly and so did he; also he did not consider his own father his enemy, so the question of revenge did not apply. This reply impressed Genghis Khan. Chu'Tsai administered parts of the Mongol Empire and became a confidant of the successive Mongol Khans.
[EX A]: Genghis Khan
[EX Q]: When did Egypt's economy greatly decline?, Context: During the presidential referendum in Egypt, Nasser was re-elected to a second term as UAR president and took his oath on 25 March 1965. He was the only candidate for the position, with virtually all of his political opponents forbidden by law from running for office, and his fellow party members reduced to mere followers. That same year, Nasser had the Muslim Brotherhood chief ideologue Sayyed Qutb imprisoned. Qutb was charged and found guilty by the court of plotting to assassinate Nasser, and was executed in 1966. Beginning in 1966, as Egypt's economy slowed and government debt became increasingly burdensome, Nasser began to ease state control over the private sector, encouraging state-owned bank loans to private business and introducing incentives to increase exports. During the 60's, the Egyptian economy went from sluggishness to the verge of collapse, the society became less free, and Nasser's appeal waned considerably.
[EX A]:
|
Beginning in 1966
| 6
|
NIv2
|
task1295_adversarial_qa_question_answering
|
fs_opt
|
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] |
In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the end sentence choices from (A) and (B), such that the story does not sound complete and coherent, i.e., select an incorrect end sentence.
Let me give you an example: Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, and turned to gangs. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: The incident caused him to turn a new leaf.
(A) He is happy now. (B) He joined a gang.
The answer to this example can be: B
Here is why: As mentioned in fourth sentence, the incident turned a new leaf to Rick's life; so, he must be happy now. Also, he was previously in gang, so, this incident cannot make him to join a gang. So, B is incorrect.
OK. solve this:
Sentence1: Amy's family was going to Six Flags. Sentence2: She sat patiently in the car waiting to arrive. Sentence3: When the arrived she sat on her knees surveying the park. Sentence4: She waited in line for an hour to ride the largest roller coaster.
(A) Amy was really excited to be at the park. (B) Amy thought the park was boring.
Answer:
|
B
| 8
|
NIv2
|
task297_storycloze_incorrect_end_classification
|
fs_opt
|
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] |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Bien, ¿por qué puede ser esto? ¿Por qué sucede así?
A:
|
Ok. E por que será assim? Por que será?
| 7
|
NIv2
|
task1104_ted_translation_es_pt
|
zs_opt
|
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] |
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Example solution: Italia berhasil mengalahkan Portugal 31-5 di grup C dalam Piala Dunia Rugby 2007 di Parc des Princes, Paris, Perancis.
Example explanation: This is a correct and accurate translation from Japanese to Bahasa Indonesia because translated text is just paraphrased of Japanese sentence. Also, it preserves the numbers as it is.
Problem: これらの研修プログラムの多く、特に大企業のものは、純粋に心理学的で、生産性、気力、そして忠節の向上を目的としていると主張する。
|
Solution: Banyak dari program latihan ini, khususnya pada perusahaan-perusahaan besar, mengklaim bahwa ini murni psikologis, bertujuan untuk meningkatkan produktivitas dan moralitas dan loyalitas.
| 5
|
NIv2
|
task1115_alt_ja_id_translation
|
fs_opt
|
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] |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Example: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
Example solution: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
Example explanation: The Hebrew sentence is correctly translated into Arabic, because the meaning is preserved.
Problem: (וידיאו) נציג: הוא מוציא כסף מהכיס שלו ושם את זה על השולחן, בכדי שהוא לא יפחד
|
Solution: (فيديو) مسؤول: أخرج بعض المال من جيبه ووضعها على الطاولة ، لكي لا نكون خائفين.
| 5
|
NIv2
|
task1237_ted_translation_he_ar
|
fs_opt
|
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0.2845744490623474,
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0.5391393899917603
] |
Given the task definition and input, reply with output. Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear view towards the entity or has equal amounts of positive and negative statements or expressing some fact/quote by someone else. Select Negative if the sentence expresses a negative view towards like harsh remarks, criticizing entities action/decision etc. Note that URLs in the text have been replaced with [Link].
What is the sentiment of the following document towards the entity Mugabe ? In the meantime Harareâs streets remain calm and Zimbabweanâs characteristic black humor about their own predicament remains intact: âMugabe is suddenly a real Zimbabwean: an adult with several degrees just sitting idly at home â tweeted @CynicHarare a self-proclaimed âdetractorâ from Harare.
|
Positive
| 5
|
NIv2
|
task421_persent_sentence_sentiment_classification
|
zs_opt
|
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] |
Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Input: Viron WALL-E?
Output:
|
הבחנתם בוול-אי?
| 3
|
NIv2
|
task1242_ted_translation_gl_he
|
zs_opt
|
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] |
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
[EX Q]: Context: Pieniężno Pierwsze [pjɛˈɲɛ̃ʐnɔ ˈpjɛrfʂɛ] is a village in the administrative district of Gmina Pieniężno within Braniewo County Warmian-Masurian Voivodeship in northern Poland.Before 1772 the area was part of Kingdom of Poland 1772-1945 Prussia and Germany (East Prussia).
Question: The document can be classified to which topic?
Options: 1)Building, 2)Village, 3)Company, 4)EducationalInstitution
[EX A]: 2
[EX Q]: Context: Baye Kola (Persian: بايع كلا also Romanized as Bāye’ Kolā Bāye‘ Kolā and Bāye’ Kalā) is a village in Qareh Toghan Rural District in the Central District of Neka County Mazandaran Province Iran. At the 2006 census its population was 1101 in 293 families.
Question: The document can be classified to which topic?
Options: 1)NaturalPlace, 2)OfficeHolder, 3)Village, 4)Company, 5)EducationalInstitution
[EX A]: 3
[EX Q]: Context: Ceretes is a genus of moths within the family Castniidae. It was described by Schaufuss in 1870.
Question: The document can be classified to which topic?
Options: 1)NaturalPlace, 2)Building, 3)Animal, 4)Film, 5)Album
[EX A]:
|
3
| 6
|
NIv2
|
task633_dbpedia_14_answer_generation
|
fs_opt
|
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] |
Q: In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
PersonX makes ___ for lunch
A:
|
chicken
| 7
|
NIv2
|
task1217_atomic_answer_generation
|
zs_opt
|
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] |
Detailed Instructions: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output.
See one example below:
Problem: jump left
Solution: I_TURN_LEFT I_JUMP
Explanation: The agent must first turn left and then jump in order to jump to the left.
Problem: look around left thrice and walk opposite left twice
Solution:
|
I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT I_WALK
| 4
|
NIv2
|
task130_scan_structured_text_generation_command_action_long
|
fs_opt
|
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] |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Q: Il numero di petali di un fiore è tipicamente un numero di Fibonacci, o il numero di spirali di un girasole o di un ananas tende ad essere un numero di Fibonacci.
A:
|
Liczba płatków kwiatu zazwyczaj jest liczbą Fibonacciego, tak, jak liczba spiral w słoneczniku albo ananasie, które zwykle też są liczbami Fibonacciego.
| 4
|
NIv2
|
task1253_ted_translation_it_pl
|
zs_opt
|
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] |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
8, 24, ['8565', '7509', 'K', '9113', 'C', '6351', 'w', '9799', 'w', 'r', 'k', 'G', '6105', 'a', '1593', 'n', 'u', '4699', 'G', 'K', '2613', '3697', 'J', '3845']
|
32351
| 0
|
NIv2
|
task606_sum_of_all_numbers_in_list_between_positions_i_and_j
|
zs_opt
|
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] |
Detailed Instructions: Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish.
See one example below:
Problem: Text: 'try and ehm go as close to ravine as possible but up towards the carved stones'.
Solution: English
Explanation: This is an English sentence.
Problem: Text: 'J'ai testé mon pad.'
Solution:
|
French
| 4
|
NIv2
|
task896_miam_language_classification
|
fs_opt
|
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] |
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the question has to be about both objects which are related but different; for example, "trophy" and "suitcase". This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "small" to "big"). You should not change any content in the given question beyond a word or two, i.e., the trigger word/phrase. The expected answer to your question must not be associated with just the trigger word; instead, it should depend on the context present in the question. The expected answer should not be ambiguous. For your question, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. In your generated question, retain the object names from the input question. Avoid repeating the same style or phrase in generating your modified question e.g. this task can be always solved using a simple negation i.e. by adding not, never, etc. Instead, try to increase the word diversity. Your question must contain at least 15 and at most 30 words. Your question must have at least 70% overlapping words with the given question. You must utilize the given context word while writing the question. Your question must contain only one blank. The two objects should be used ONCE in your question. Here is a list of attributes and associated contrastive words that may help write contrastive trigger words. Note that contrastive trigger words help in flipping the label.
| Attribute | triggerword | contrastive triggerword |
| age | old | new |
| altitude | low | high |
| area | small | vast |
| brightness | dark | light |
| clarity | obscure | clear |
| cleanness | dirty | clean |
| complexity | simple | complex |
| cost | cheap | expensive |
| density | sparse | dense |
| depth | shallow | deep |
| distance | near | far |
| electric conductivity | low | high |
| flexibility | rigid | flexible |
| granularity | fine | coarse |
| hardness | soft | hard |
| length | short | long |
| magnitude | small | large |
| mass | small | large |
| odor | weak | strong |
| pressure | low | high |
| resistance | low | high |
| shape | round | sharp |
| shape | flat | spiky |
| size | small | large |
| sound | quiet | loud |
| sound pitch | low | high |
| speed | slow | fast |
| stability | unstable | stable |
| strength | weak | strong |
| temperature | low | high |
| texture | smooth | rough |
| thermal conductivity | low | high |
| thickness | thin | thick |
| volume | small | large |
| weight | light | heavy |
| width | narrow | wide |
| location | in | out |
| location | up | down |
| location | above | below |
| location | on | off |
| location | to | from |
Example: Context word: fit.
Question: The trophy doesn't fit into the brown suitcase because _ is too large.
Answer: trophy.
Example solution: The trophy doesn't fit into the brown suitcase because _ is too small.
Example explanation: Here, replacing the trigger word "large" by its antonym "small" flips answer to the second object ("suitcase") in the question. So, this is a valid question.
Problem: Context Word: infection.
Question: The man chose medication for his infection rather than the ointment, because the _ was ineffective.
Answer: ointment.
|
Solution: The man chose medication for his infection rather than the ointment, because the _ was helpful.
| 5
|
NIv2
|
task034_winogrande_question_modification_object
|
fs_opt
|
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] |
Q: Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the author is considering doing something in the future. Say 'yes' if the claim is true otherwise say 'no'
CLAIM : The following post is HISTORICAL. POST : For context, he works at a small ritzy place that dies out around 7:30-8pm most weekday nights. He and I are both servers for the same chain, just different locations.
Some nights after class I’ll metro over and go see him, and because I’m an employee at the same chain I get 50% off. I can get a burger/fries for 4 bucks on a Wednesday night (they’re already half off these nights, burgers are 14-18 bucks normally).
I come after my 8pm class, so he’ll usually have one table or so left. I’ll sit either at the bar or one of his tables and he’ll grab me a drink/put my order in. That’s it though.
I’ll even bus my own table at the end. He knows he doesn’t have to wait on me, I can just chill out while he works.
He says I don’t have to tip- and I know if the roles were reversed, I wouldn’t want him tipping me either. At the same time, something deep down I can’t shake is telling me I’m the asshole. If I tipped him I wouldn’t want to be cheap, and I’d tip on the full amount before the half off. Only thing is most nights I’m not prepared to spend too much on dinner by going out (I’m trying to save), and I feel weird giving him money when this has become a weekly thing.
AITA for not tipping my SO when he serves me at his restaurant?
A:
|
no
| 7
|
NIv2
|
task501_scruples_anecdotes_post_type_verification
|
zs_opt
|
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] |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Example: Abstract: This study was designed to determine the influence of a long-term, moderate-intensity treadmill training program on the distribution of blood flow within and among muscles of rats during exercise. One group (T) of male Sprague-Dawley rats trained for 1 h/day for 13-17 wk at 30 m/min on a motor-driven treadmill. A second group (UT) of rats was conditioned for 10 min/day for 4 wk at the same speed. Muscle succinate dehydrogenase activities were higher in T than UT rats indicating a significant training effect. Blood flows (BFs) in 32 hindlimb muscles or muscle parts and other selected organs were measured in the two groups with radiolabeled microspheres during preexercise and while the rats ran for 30 s, 5 min, or 15 min at 30 m/min on the treadmill. The data indicate 1) there were no differences in total hindlimb muscle BF between UT and T rats at any time; however, 2) T rats had higher preexercise heart rates and higher muscle BFs in the deep red extensor muscles, suggesting a greater anticipatory response to the impending exercise; 3) T rats demonstrated more rapid elevations in BF in the red extensor muscles at the commencement of exercise; 4) T rats had higher BFs in red extensor muscles during exercise, whereas UT rats had higher BFs in white muscles; and 5) T rats maintained higher BFs in the visceral organs during exercise. These findings demonstrate that exercise training results in changes in the distribution of BF within and among muscles and among organs during exercise. Specifically, data indicate the high-oxidative motor units that are primarily recruited in the muscles during the initial stages of moderate treadmill exercise receive higher blood flows in the trained rats; this presumably contributes to increased resistance to fatigue.. Title: Exercise blood flow patterns within and among rat muscles after training.
Output: yes
Title is appropriate for the given abstract because the focus of this abstract is cerebral white matter assesment.
New input case for you: Abstract: The recent availability in culture of embryo-derived pluripotential cells which exhibit both a normal karyotype and a high differentiative ability1–3 has encouraged us to assess the potential of these cells to form functional germ cells following their incorporation into chimaeric mice. We report here the results of blastocyst injection studies using three independently isolated XY embryo-derived cell lines (EK.CP1, EK.CC1.1 and EKCC1.2) which produce a very high proportion (>50%) of live-born animals that are overtly chimaeric. Seven chimaeric male mice, derived from these three lines, have, so far, proved to be functional germ-line chimaeras.. Title: ACTA PSYCHIATRICA
Output:
|
no
| 1
|
NIv2
|
task1587_scifact_classification
|
fs_opt
|
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] |
Given the task definition, example input & output, solve the new input case.
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Example: È probabile che in futuro chiamerete una lista dei nomi.
Output: E' probabile che troviate una carta dei vini al ristorante.
This is a good change in the input, because it is semantically similar to the input as both are talking about either list of names or wines and the output sentence follows the commonsense knowledge.
New input case for you: Un Ox è un ceppo di urina circondato dall'acqua.
Output:
|
Un'isola è un pezzo di terra circondata dall'acqua.
| 1
|
NIv2
|
task408_mickey_it_sentence_perturbation_generation
|
fs_opt
|
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] |
You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Example input: Our friends won't buy this analysis, let alone the next one we propose.
Example output: 1
Example explanation: Since all the entities are in thier correct positions the statement is grammatically correct.Hence, the output is 1.
Q: Fluffy is sick, which I slapped a boy who wouldn't acknowledge.
A:
|
0
| 3
|
NIv2
|
task1346_glue_cola_grammatical_correctness_classification
|
fs_opt
|
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0.059973035007715225
] |
Rewrite each original sentence in order to make it easier to understand by non-native speakers of English. You can do so by replacing complex words with simpler synonyms (i.e. paraphrasing), deleting unimportant information (i.e. compression), and/or splitting a long complex sentence into several simpler ones. The final simplified sentences need to be grammatical, fluent, and retain the main ideas of their original counterparts without altering their meanings.
--------
Question: Biography Nikodinov is the daughter of Bulgarian immigrants and speaks Bulgarian fluently.
Answer: Biography: Nikodinov was born to Bulgarian immigrants. She speaks Bulgarian fluently.
Question: Only traits that help us survive and reproduce are transmitted.
Answer: Only traits that help us live and breed are passed on.
Question: A supermassive black hole is a black hole with a mass of the order of between 105 and 1010 solar masses.
Answer:
|
A supermassive black hole has a mass between 105 and 1010 solar masses.
| 7
|
NIv2
|
task111_asset_sentence_simplification
|
fs_opt
|
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] |
Definition: The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replaced letter in a word e.g 'nicr' is a typo of the word 'nice'. You need to identify the typo in the given sentence. To do this, answer with the word containing the typo.
Input: TEHRE ARE A LOT OF MOTOR BIKES ON THE GRASS
Output:
|
TEHRE
| 2
|
NIv2
|
task088_identify_typo_verification
|
zs_opt
|
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] |
Definition: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX will be seen as what is mentioned in the Tail or not. In this task, PersonX will be seen as the Tail if the Tail describes PersonX's persona or attribute as perceived by others given an event. In the gift-giving example, X may be seen as generous or giving. In contrast, in an event such as PersonX steals a car, PersonX may be perceived as evil. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: PersonX has n't eaten all day<sep>Tail: irritable
Output:
|
Yes
| 2
|
NIv2
|
task1199_atomic_classification_xattr
|
zs_opt
|
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] |
Definition: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
Input: I_JUMP I_RUN
Output:
|
jump and run
| 2
|
NIv2
|
task127_scan_long_text_generation_action_command_all
|
zs_opt
|
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] |
In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Q: ACTION1: refusing to babysit for distant relatives, because they don't allow me to discipline their kids ACTION2: telling my husband he can't do drugs
A:
|
yes
| 4
|
NIv2
|
task508_scruples_dilemmas_more_ethical_isidentifiable
|
zs_opt
|
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0.33441489934921265,
-0.7830016613006592,
0.7265134453773499,
0.340861439704895,
0.6846172213554382,
-0.2598509192466736,
1.4392081499099731,
0.6265304088592529,
0.213883638381958,
-0.010511710308492184,
0.4020596146583557,
-0.2055371254682541,
-0.8870108127593994,
0.15117114782333374,
-0.440613716840744,
0.4799954891204834,
-0.5248255133628845,
0.10457999259233475,
-0.4144068956375122,
-0.47795557975769043,
-0.5067434310913086,
0.4786171317100525,
-0.8739904761314392,
-0.4410497546195984,
-0.3164743185043335,
-0.291502982378006,
-0.28972119092941284,
-0.21346595883369446,
-0.04032609239220619,
-0.37393689155578613
] |
Detailed Instructions: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
Problem:['v', '6775', '8795', 'P', 'y', '9039', '9297', '7519', 'e', '9265', 'm', 'y', '51', '303', 'l', '1361', 'w', '9901', '6005', 'f', '6281', '9579', '4647', 'f', 'C', 'F', 'W', 'F', '2535', '5635', '1873', 'd', '673', 'Y', '4813', 'g', 'd', '8927', 'V', '9333']
Solution:
|
21
| 8
|
NIv2
|
task505_count_all_numerical_elements_in_list
|
zs_opt
|
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In this task, your goal is to judge a correct answer to a given question based on an associated paragraph and decide if it is a good correct answer or not. A good correct answer is one that correctly and completely answers the question. A bad correct answer addresses the question only partially or incorrectly. If you think the given correct answer is good, indicate it by responding "Yes". Otherwise, respond "No". There are only two types of responses possible: "Yes" and "No".
[EX Q]: Paragraph- Sent 1: The series starts in Baghdad at an undetermined time .
Sent 2: The Sultan Shahryar has gone mad after accidentally killing his wife during a failed coup d' tat , which she had planned with Shahryar 's brother Schahzenan .
Sent 3: In his madness , Shahryar believes that all women now want to kill him , but the law states that the Sultan must be married again or the throne will be passed to his brother .
Sent 4: Shahryar therefore orders Grand Vizier Ja'Far ( ( ( Jim Carter to bring him a harem girl to marry and then have executed the next day .
Sent 5: In order to prevent this , the Grand Vizier 's clever daughter , Scheherazade , decides to marry the Sultan herself .
Sent 6: Scheherazade has a plan to prevent her execution and at the same time cure the Sultan of his madness .
Sent 7: With the help of some tutoring from a bazaar storyteller , Scheherazade tells the Sultan a story every night , stopping at dawn with a cliffhanger and refusing to continue until dusk .
Sent 8: Shahryar must therefore let Scheherazade live for another day in order to hear the rest of the story .
Sent 9: Cunningly , Scheherazade has hidden a moral within every story , to bring the Sultan out of his madness .
Sent 10: Meanwhile , Schahzenan hears about the Sultan 's madness and that he is unable to execute Scheherazade .
Sent 11: Perceiving this as weakness , Schahzenan leads his army to Baghdad in an attempt to take the throne by force .
Sent 12: However , by the time Schahzenan 's army reaches the city , Scheherazade 's plan has worked .
Sent 13: As a result of her stories , Shahryar has overcome his madness and has fallen in love with Scheherazade .
Question: Why does the sultan want the harem girl executed?
Correct Answer: Or throne will be passed to his brother.
[EX A]: No.
[EX Q]: Paragraph- Sent 1: The film starts with a shot of a spaceship flying through space .
Sent 2: El , a crew member , walks through the corridors of the ship when he discovers the eponymous magic portal , a rectangular arch flashing with various colors .
Sent 3: Entering the portal , he is transported into a world of passageways .
Sent 4: Some LEGO creatures appear and build a small car for him to drive through the world of passages .
Sent 5: He then has a close encounter with a two-headed monster who chases him through the various paths of the mysterious world .
Sent 6: After El 's car has a bump from a crossing train , the car falls apart .
Sent 7: El finds another portal , and nearly gets eaten by the monster , who ends up in the real world while chasing a leftover tyre from the devoured car and attacks Lindsay Fleay .
Sent 8: El reports his experiences to Captain Paranoia , but neither him nor his shipmate Pee believes him .
Sent 9: However , Captain Paranoia finds another Portal , which takes him to a `` white expanse '' world , where a plasticine creature messes around with him , making him very annoyed and then flushs him out of the white colored world .
Sent 10: The plasticine creature then goes back through the portal Captain Paranoia came through .
Sent 11: The Captain then finds his way back to the ship , and tells El and Pee about what happened in the Portal .
Sent 12: El , Pee , Captain Paranoia and the Plasticine creature , go through the Portal , and find themselves in the real world , and get chased by liquid paper daleks .
Sent 13: The four escape the liquid paper daleks , which are scared off by the two-headed monster that El had an encounter with earlier , in a shoe car .
Question: How many times had El encountered the two-headed monster?
Correct Answer: three.
[EX A]: No.
[EX Q]: Paragraph- Sent 1: Juzo Murasaki arrives at a work construction area to take on his new job as a construction worker .
Sent 2: To his quiet dismay , his supervising boss turns out to be Toru Akai , who with his gang had made Juzo 's middle school life a living hell .
Sent 3: Akai , however , does n't recognize Juzo .
Sent 4: Juzo 's more disconcerted when he discovers that Akai lives with his wife , Nozomi Akai and their toddler son above Juzo 's new apartment .
Sent 5: As Juzo emotionally struggles to handle these unexpected developments , a mysterious and seemingly malicious hooded figure appears .
Sent 6: It calls itself Number 13 .
Sent 7: As Juzo attempts to control increasing number of flashbacks and a spiral fall into psychological darkness , Akai constantly picks on Juzo and other work colleagues including Seki Hajime , a former middle school student who becomes Juzo 's casual friend in spite of Juzo 's anti-social tendencies , at work .
Sent 8: Meanwhile Akai 's wife , Nozomi , attempts to make friends with Juzo and entrusting the care of her toddler son to Juzo .
Sent 9: She proudly shows Juzo her husband 's school photos .
Sent 10: In one class photo , Juzo 's space is marked with an X to show he was absent .
Sent 11: Juzo suffers a severe flashback to explain his absence that day : in their school 's science room , Akai and his friends have thrown acid at Juzo 's face .
Sent 12: Seki becomes suspicious about Juzo 's increasingly odd behavior and goes to inform Arai at the work site , but Arai dismisses him without giving him a chance to speak .
Sent 13: During this incident , Seki does n't realize he 's being watched by Number 13 , but as soon as he does , Number 13 kills him .
Question: Which figure appears to Juzo during his emotion's struggle and what's its role?
Correct Answer: 13.
[EX A]:
|
No.
| 6
|
NIv2
|
task056_multirc_classify_correct_answer
|
fs_opt
|
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] |
Teacher: In this task, you will be given a passage consisting of set of facts. The task is to create a question of form 'Where is <person_name>?' that is answerable from exactly one of the given facts. Avoid creating questions that are unanswerable from all of the facts.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Passage: Mary moved to the bathroom. John went to the hallway.
Solution: Where is Mary?
Reason: 'Mary moved to the bathroom.' is a supporting fact from which we can create a question 'Where is Mary?'
Now, solve this instance: Passage: Mary moved to the bedroom. Sandra moved to the garden. John travelled to the office. Sandra journeyed to the office. Mary journeyed to the garden. Sandra journeyed to the hallway. Daniel went back to the kitchen. Sandra went back to the garden. Sandra moved to the kitchen. John went back to the bathroom.
Student:
|
Where is Mary?
| 2
|
NIv2
|
task082_babi_t1_single_supporting_fact_question_generation
|
fs_opt
|
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] |
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that define what the this logical operator does) of each logical operator between '{}' parenthesis. Here are the definitions of logical operators that you can use while generating command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Ex Input:
select the rows whose city record fuzzily matches to barisal . take the country record of this row . select the rows whose city record fuzzily matches to chittagong . take the country record of this row . the first record fuzzily matches to the second record . the country record of the first row is bangladesh . the country record of the second row is bangladesh .
Ex Output:
and { eq { hop { filter_eq { all_rows ; city ; barisal } ; country } ; hop { filter_eq { all_rows ; city ; chittagong } ; country } } ; and { eq { hop { filter_eq { all_rows ; city ; barisal } ; country } ; bangladesh } ; eq { hop { filter_eq { all_rows ; city ; chittagong } ; country } ; bangladesh } } }
Ex Input:
select the rows whose venue record fuzzily matches to stuttgart , west germany . take the year record of this row . select the rows whose venue record fuzzily matches to seoul , south korea . take the year record of this row . the second record is 2 years larger than the first record .
Ex Output:
eq { diff { hop { filter_eq { all_rows ; venue ; stuttgart , west germany } ; year } ; hop { filter_eq { all_rows ; venue ; seoul , south korea } ; year } } ; -2 years }
Ex Input:
the minimum original airdate record of all rows is november 02 .
Ex Output:
|
eq { min { all_rows ; original airdate } ; november 02 }
| 1
|
NIv2
|
task210_logic2text_structured_text_generation
|
fs_opt
|
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] |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
One example is below.
Q: Igbo sentence: Olee kwere omume?
A: How is this possible
Rationale: The English translation means the same as the original sentence in the Igbo language.
Q: Igbo sentence: Kedu ihe ga - eme ka mkparịta ụka maka ịnye ikikere nke casinos nke mba ọzọ ka edobeghị anya, ma ọ bụrụ na onye ọ bụla Armenian enwere ike ịmị egwu n'egwuregwu casinos kachasị amasị ha ma ghara ịtụ egwu na a ga - emechi ohere ahụ ma ọ gaghị enwe ike inweta mmeri ya.
A:
|
What ends discussions about licensing of foreign casinos is not yet clear, but while any Armenian can safely enjoy playing in their favorite online casinos and not be afraid that access will be closed and he will not be able to get his winnings.
| 9
|
NIv2
|
task449_opus_paracrawl_ig_en_translation
|
fs_opt
|
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] |
Teacher: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Comment: i am just sorry that khadr didnt get a bullet in the head before he blew the head off that innocent father because his islamic boogie skywizard told him to.
Solution: Toxic
Reason: This is a toxic comment because it advocates acts of violence.
Now, solve this instance: Comment: It's too bad Jesus didn't just straight up say "don't be an asshole" in those exact words, because that would probably help keep guys like this from acting like assholes.
Student:
|
Toxic
| 2
|
NIv2
|
task327_jigsaw_classification_toxic
|
fs_opt
|
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Q: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications of each category:
1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows
2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows
3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows
4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows
5. Comparative: Comparing two rows in the table, regarding their values in one column
6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows
7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows.
Here are the definitions of logical operators for understanding of command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
eq { hop { nth_argmax { all_rows ; location attendance ; 2 } ; date } ; january 17 }
A:
|
ordinal
| 7
|
NIv2
|
task212_logic2text_classification
|
zs_opt
|
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] |
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. For example, if the input list contains two items, you can drop one of the items each time. So the output should be a list comprising two inner lists that you have created by decreasing the items.
Example input: ['3', 'u', 'W', '8', 'j']
Example output: [['3', 'u', 'W', '8'], ['3', 'u', 'W', 'j'], ['3', 'u', '8', 'j'], ['3', 'W', '8', 'j'], ['u', 'W', '8', 'j']]
Example explanation: The output is a list of length 5, containing lists of length 4. Each inner list is created by dropping one item if the input list. So this is a good example.
Q: ['R', 'p', '1']
A:
|
[['R', 'p'], ['R', '1'], ['p', '1']]
| 3
|
NIv2
|
task208_combinations_of_list
|
fs_opt
|
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] |
Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY, or others, feel what is mentioned in the Tail or not. Feelings in this task are the emotional reactions on the part of PersonY or other participants in an event. For example, as a result of gift-giving, others (in this case, PersonY) might feel appreciated. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: PersonX makes a career<sep>Tail: none
Output:
|
Yes
| 3
|
NIv2
|
task1197_atomic_classification_oreact
|
zs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
(Musica) Sono andato all'Ospedale St. James per vedere la mia piccola là. Era stesa su un lungo tavolo di legno Così fredda, così immobile, così bella. Sono andato dal dottore "" Sta molto male "", mi ha detto. Sono tornato dalla mia piccola. Buon Dio era stesa lì, morta. Sono andato al bar del vecchio Joe all'angolo della piazza Servivano da bere, come al solito E c'era la solita gente. Alla mia destra c'era il vecchio Joe McKennedy Coi suoi occhi inniettati di sangue Si è rivolto a quelli intorno a lui E ha detto queste parole:
Output:
|
(موسیقی) رفتم به بیمارستان « سن.جیمز » تا محبوبم را ببینم او روی یک میز چوبی دراز کشیده بود کاملاً سرد ٬ خاموش و زیبا رفتم به دیدار جناب دکتر گفت « بسیار ضعیف شده » برگشتم که محبوبم را ببینم خدای من او بی جان آرمیده است رفتم به میخانه ی « اولد جو » واقع در گوشه ی میدان مثل همیشه با نوشیدنی پذیرایی می کردند و جمعیت همیشگی هم آنجا بود « اولد جو مک کندی » سمت چپم ایستاد چشمانش سرخ و پرخون بود رو کرد به جمعیت آنجا و اینگونه بیان کرد
| 1
|
NIv2
|
task1254_ted_translation_it_fa
|
zs_opt
|
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] |
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
[EX Q]: Context: .@SpeakerRyan: "There is no agreement." Says POTUS and CoS Kelly called him this AM from Air Force One to talk about DACA— Phil Mattingly (@Phil_Mattingly) September 14, 2017 Answer: potus
[EX A]: who says there is no agreement
[EX Q]: Context: Worked out tonight with Amy and Dave . Total Black tour coming soon . Chris Rock (@chrisrock) January 12, 2017 Answer: total black tour
[EX A]: which tour did chris say was coming soon?
[EX Q]: Context: I'm not even driving stop by the cops again Chris Rock (@chrisrock) February 28, 2015 Answer: cops
[EX A]:
|
who was it that stopped @chrisrock?
| 6
|
NIv2
|
task240_tweetqa_question_generation
|
fs_opt
|
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] |
instruction:
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
question:
4, 13, ['9571', 'a', 'U', 'I', 't', '645', '6255', 'H', 'w', '7433', 'A', 'f', 'U', '6617', '1437', '5969', '2933']
answer:
I, t, 645, 6255, H, w, 7433, A, f, U
question:
20, 28, ['D', '8897', '6941', '4141', 'B', '4525', '7585', 'H', 'U', 'W', 'M', 'H', 'L', '789', 'O', '9675', 'N', '2797', 'n', 'i', '737', '1255', '8025', 'O', 'f', 'O', 'G', 'H', '2717', 'P']
answer:
i, 737, 1255, 8025, O, f, O, G, H
question:
4, 6, ['7205', '1295', 'A', 'J', '4443', 'B', '9703', 'x']
answer:
|
J, 4443, B
| 9
|
NIv2
|
task091_all_elements_from_index_i_to_j
|
fs_opt
|
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] |
Q: In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Context: Later in the day Teddy Tetzlaff completed a lap in 1:33.4, Link Information: none Question: What manufacturer was Teddy Tetzlaff driving for in the 1914 Indianapolis 500?
A:
|
Answer: none
| 7
|
NIv2
|
task237_iirc_answer_from_subtext_answer_generation
|
zs_opt
|
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] |
Teacher:This task is about translating a given English language sentence to Yoruba language.
Teacher: Now, understand the problem? Solve this instance: Atlanta, United States—2019 “Love Never Fails”! International Convention
Student:
|
Àpéjọ Àgbáyé “Ìfẹ́ Kì Í Yẹ̀ Láé”! Tá A Ṣe ní 2019—Atlanta, Orílẹ̀-èdè Amẹ́ríkà
| 6
|
NIv2
|
task1685_menyo20k_translation
|
zs_opt
|
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] |
Q: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
この構想の焦点はシンプルでアクセスしやすく人間中心の解決法です
A:
|
انها مبادرة تركز على حلول بسيطة وسهلة المنال وترتكز على الانسان.
| 7
|
NIv2
|
task1224_ted_translation_ja_ar
|
zs_opt
|
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Q: Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
Eleven care workers admitted a total of 38 charges after they were secretly filmed abusing and neglecting patients at Winterbourne View, near Bristol. Mencap and the Challenging Behaviour Foundation said some patients had still not been found suitable homes. Care minister Norman Lamb said ignoring the rights of the learning-disabled would no longer be tolerated. 'Abuse was inhuman' A joint statement from the two charities said: "It is unacceptable that, two years on, we still don't know how many of the 48 people from Winterbourne View have been supported to move back into the community, where they should be. "We are still working with families whose loved ones remain hundreds of miles away in inpatient institutions, despite families' ongoing efforts to bring them closer to home. "We are very concerned that targets set only last year by the government to support people with a learning disability to move back into the local community may be missed." On Saturday the government-imposed target passes, of getting every case reviewed with each patient receiving a suitable care plan. All patients found to be inappropriately placed in hospital should be moved to community-based support as quickly as possible and no later than 1 June 2014. The Department of Health said the majority of former patients had been moved to social care settings by 1 March and that NHS England was continuing to work with local areas on all cases. Care and Support Minister Mr Lamb, said: "The abuse and neglect we saw at Winterbourne View was inhuman and although I acknowledge these are complex cases we cannot accept a slow response to tackling the very serious issues raised. "I am determined to ensure that there will be no hiding place for any area which fails to stick to the plan we published last December. "I have made it clear that we will publish details of what commissioners across the country have done at each stage. Those that fail to do what is necessary to transform services will be named and shamed. "We cannot tolerate any longer the rights of people with learning disabilities being ignored or downgraded." 'Fracturing relationships' He said confirmed that he would hold meetings next week to ensure progress continued to be made. Margaret Flynn, who led the serious case review into what happened, said there had been extensive changes, but more needed to be done. "We have many organisations that have signed up to developing services that do not require adults with learning disabilities and autism to be placed in assessment and treatment units for undefined periods," she said. But she added "my guess is we are some considerable distance" from all patients in assessment and treatment units being back in their local communities. "I think the harm that's done by fracturing people's relationships with their families and also with their GPs should never be underestimated." Ms Flynn said: "The pace cannot be satisfactory for families, not least of all the families of young people who must be wondering whether or not Winterbourne View Hospital and its like are part of their waiting future. "And for families whose daughters and sons were patients at Winterbourne View hospital, my sense is that there's still frustration that although two thirds are now in community-based settings, not everybody is as close to home as they would like to be."
A:
|
Two years after abuse at a private hospital was exposed, charities want more action to help those affected.
| 7
|
NIv2
|
task1357_xlsum_summary_generation
|
zs_opt
|
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] |
Definition: You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Input: CONTEXT: Aparte de ello, los isótopos radiactivos se utilizan hoy en los laboratorios de investigación de medicina y biología, tanto como medios de diagnóstico en relación con técnicas de trazadores como en gammagrafías y en la investigación del metabolismo de ciertas sustancias. Todas estas técnicas se basan en la facilidad con que se puede seguir la evolución y la trayectoria de cantidades prácticamente insignificantes de un radionucleido, a través de un medio como, por ejemplo, el cuerpo humano. La investigación nuclear ha dado lugar en los últimos tiempos al desarrollo de un verdadero arsenal de aparatos de radiodiagnóstico y tratamiento terapéutico, como la tomografía axial computerizada, la bomba de cobalto, las gammagrafías o la más reciente resonancia magnética nuclear, que han transformado por completo la forma de afrontar la identificación y el tratamiento de numerosas enfermedades. En menor medida, las radiaciones ionizantes se han empleado también como medio de esterilización para hacer frente a determinadas plagas de insectos, y en la conservación de alimentos, dada su gran capacidad para actuar sobre el material genético y con ello, la posibilidad de inhibir la proliferación de bacterias y gérmenes. El efecto de las radiaciones ionizantes producidas por la fisión nuclear o cualquiera otra fuente radiactiva depende en primer lugar del tipo de radiación: alfa, beta o gamma.
QUESTION: ¿A qué se aplican los aparatos?
Output:
|
la identificación y el tratamiento de numerosas enfermedades
| 2
|
NIv2
|
task1334_sqac_answer_generation
|
zs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Paragraph: Higher-frequency waves have more energy.
Question: If Mona is generating microwaves while defrosting her meat and she decreases the frequency of them, what happens to the amount of energy she is generating?
Choices: A)increases
B)decreases
Output:
|
decreases
| 1
|
NIv2
|
task1731_quartz_question_answering
|
zs_opt
|
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This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT (in Spanish).
Input: Consider Input: CONTEXT: 12 de junio de 2012 En la segunda parte del episodio 8 de “El Mundo del Mañana”, estrenada hoy en RT a las 11:30 UTC, Julian Paul Assange continuó su entrevista con tres cypherpunks: Andy Müller-Maguhn, Jérémie Zimmermann y Jacob Appelbaum. Cypherpunk es el nombre de ciertos activistas de la criptografía informática. En este episodio, Assange conversa con los cypherpunks acerca de la censura en la Internet, el control de los gobiernos en la red, la privacidad de las transacciones económicas y la monopolización de la información, mencionando que hay una guerra invisible por el control de la Internet en la que los gobiernos se enfrentan a hackers y a activistas, en la que estos últimos defienden la libertad de la información. En esta ocasión, Assange presenta una nueva pregunta a sus invitados: “¿Depende el futuro del mundo del futuro de la Internet y qué papel tendrán los gobiernos en el control de la red global?”. Appelbaum expresó que en los países desarrollados las personas piensan que la censura de la Internet es un problema de otros países, y que “Los iraníes, los chinos o los norcoreanos necesitan anonimato, libertad y todas estas cosas que nosotros ya tenemos”; aunque en el control de la Internet puede ser realizada por las agencias de inteligencia de los Estados Unidos, del Reino Unido y de Suecia. Appelbaum también expuso cómo las legislaciones actuales, al proteger los derechos de autor, convierten en criminales a quienes comparten archivos en la Internet, aun cuando esta práctica puede resultar provechosa para los titulares de los derechos de autor, como sucedió con Napster en 1999: cualquiera que lo usó entonces “se convirtió en un admirador de la música, fue a conciertos” y difundió el trabajo de los artistas aconsejando a sus amigos que escucharan determinado disco o canción. — Jacob Appelbaum También surgió el tema de la privacidad de las transacciones económicas, puntuando que el gobierno de los Estados Unidos junto a Visa y MasterCard puede procesar los pagos de ciudadanos de prácticamente cualquier país. Según Müller-Maguhn, solo una cosa puede detener el control gubernamental total de la información, y es la falta de unidad del gobierno. — Andy Müller-Maguhn — Jérémie Zimmermann Assange reitera su convicción de que la información es un medio de las elites para mantener el poder sobre las personas en formas que no son justas. Así que cuando nos fijamos en el equilibrio entre los poderosos que conocen todas las transacciones de tarjetas de crédito del mundo, los estados de sombra de la información que se están empezando a desarrollar y a intercambiarse con los demás y el desarrollo de alianzas y conexiones entre sí, y en los sectores privados y demás frente al aumento del tamaño de los bienes comunes, entonces la Internet es una herramienta común para la humanidad para hablarse a sí misma, y para aumentar su poder... — Julian Assange El movimiento de los cypherpunks consiste en mantener privada la información privada. Müller-Maguhn, Zimmermann y Appelbaum esperan que ocurra un empuje económico que impulse a las compañías a desarrollar herramientas que le den a los usuarios la capacidad de controlar sus datos y su comunicación. “El Mundo del Mañana” se estrenó el 17 de abril, día en el que se cumplieron 500 días del bloqueo financiero al sitio web de WikiLeaks. En esta serie, Assange entrevista a “iconoclastas, visionarios y expertos del poder”, con la intención de analizar el futuro de la comunidad mundial. El rodaje de la serie se realiza en el Norfolk, Reino Unido, donde Julian Assange se encuentra bajo arresto domiciliario sin que se le haya presentado ninguna acusación oficial.
ANSWER: Julian Paul Assange
Output: ¿Quién es el presentador de El Mundo del Mañana?
Input: Consider Input: CONTEXT: Estructura, componentes y características
Los componentes principales de una fresadora son la base, el cuerpo, la consola, el carro, la mesa, el puente y el eje de la herramienta. La base permite un apoyo correcto de la fresadora en el suelo. El cuerpo o bastidor tiene forma de columna y se apoya sobre la base o ambas forman parte de la misma pieza. Habitualmente, la base y la columna son de fundición aleada y estabilizada. La columna tiene en la parte frontal unas guías templadas y rectificadas para el movimiento de la consola y unos mandos para el accionamiento y control de la máquina.
ANSWER: tiene forma de columna
Output: ¿Cómo es la estructura del cuerpo de la fresadora?
Input: Consider Input: CONTEXT: Grutas Vaticanas
Las Grutas Vaticanas se formaron por la diferencia de cota entre la nueva y la antigua basílica. Tienen forma de iglesia subterránea de tres naves. Se han utilizado como lugar de enterramiento de muchos papas. El acceso se realiza por una escalera doble rodeada por una elegante balaustrada sobre la que se queman 99 lámparas votivas; esta escalera parte desde la parte frontal del Altar Papal. La escalera finaliza ante la confessio de San Pedro (núm. 65), obra de Carlo Maderno; ante el mosaico de Cristo Pantocrátor, se encuentra el cofre que guarda los palios. Tras este cofre se encuentran los restos de mármol de la tumba de San Pedro construida por el emperador Constantino. En la parte inferior se encuentra la bola de bronce, llamada «cataracta» o «billicus confessionis», que servía de acceso, desde la construcción de la primera basílica, a la tumba de Pedro.
ANSWER: ante la confessio de San Pedro
|
Output: ¿Dónde termina la escalera doble de las Grutas Vaticanas?
| 2
|
NIv2
|
task1335_sqac_question_generation
|
fs_opt
|
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] |
TASK DEFINITION: In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
PROBLEM: Context: The gene(s) encoding for endomorphin precursor(s) is/are still unknown. We have raised the possibility of and did find some evidence for a potential de novo biosynthetic route starting from Tyr-Pro precursor. To pursue further this possibility we measured the generation of immunoreactive endomorphin-2 (E2-IR) in adult rat isolated L4,5 dorsal root ganglia.\Question: Is immunoreactive endomorphin 2 generated extracellularly in rat isolated L4,5 dorsal root ganglia by DPP-IV?
SOLUTION: In rat isolated dorsal root ganglia the combination of presumed biosynthetic precursor of endomorphin 2 (E2), Tyr-Pro with the dipeptidyl peptidase IV (DPP-IV) inhibitor Ile-Pro-Ile generated 1.60+/-0.37 pg/mg Wet Tissue Weight_30 min E2-IR in the bathing fluid (n=4) with an 8-fold increase upon depolarization whereas the tissue content was low (0.50+/-0.08 pg/mg_WTW). Substance P, as determined by ELISA in the pilot experiments, was found almost exclusively within the tissues. It is concluded that E2-IR was generated extracellularly by a membrane-bound DPP-IV, which was switched to "synthase" mode by the hydrolase inhibitor Ile-Pro-Ile. DPP-IV was depolarization-sensitive in "synthase" functional mode.
PROBLEM: Context: Matrix metalloprotease-2 (MMP-2) and matrix metalloprotease-9 (MMP-9) play a key role in tissue remodelling after processes such as joint destruction in rheumatoid arthritis. Their expression may reflect the disease activity and they could therefore represent a useful marker to assess the efficacy of therapy. In this study MMP-2 and MMP-9 serum were evaluated in patients with chronic arthritis during therapy with the anti-TNFalpha mAb, infliximab.', 'Fifty patients with chronic arthritis, 26 with rheumatoid arthritis and 24 with undifferentiated chronic arthritis, were recruited and treated with infliximab (3 mg/kg). Serum concentrations of MMP-2 and MMP-9 were serially measured by gelatine zymography at baseline and after two and fourteen weeks of infliximab therapy. DAS-28 and ACR response criteria were applied to assess disease activity and clinical improvement. Twenty-four healthy donors were included in the study as controls.', 'Although therapy with infliximab induced a statistically significant reduction of the DAS-28 score and improvement of the ACR clinical response, MMP-2 and MMP-9 serum concentrations were not modulated during therapy with infliximab.\Question: Does infliximab therapy modify MMP-2 and MMP-9 serum concentrations in chronic arthritis?
SOLUTION: Our study provides further evidence that blocking TNFalpha by infliximab is a powerful tool in the management of chronic arthritis. Nevertheless, infliximab does not seem to be able to modify the serum expression of MMP-2 and MMP-9, probably because modification of these enzymes is restricted to the site of joint inflammation and serum detection can not truly mirror the local situation. Additional soluble factors correlating with joint damage should be investigated as possible markers for monitoring anti-TNFalpha therapy.
PROBLEM: Context: Diabetes mellitus (DM) is a major risk factor for periodontal disease and affects various cellular functions. Periodontal ligament stem cells (PDLSCs) play an important role in periodontal tissue regeneration; however, the effect of hyperglycemia on PDLSCs is unclear. The aim of this study is to investigate whether hyperglycemia affects periodontal tissue regeneration, using human PDLSCs and high-glucose medium as a model of DM.', 'PDLSCs were obtained from healthy adult human mandibular third molars. Cell proliferation, osteoblastic differentiation, and proinflammatory cytokine expression were investigated by culturing PDLSCs in media supplemented with four different glucose concentrations representative of control patients (5.5 mM), patients with postprandial or controlled DM (8.0 mM), and patients with uncontrolled DM (12.0 and 24.0 mM). The molecular effects of hyperglycemia on PDLSC physiology were examined with a focus on the nuclear factor (NF)-(κB signaling pathway. The involvement of NF-κB was investigated with a specific NF-κB inhibitor in PDLSCs under hyperglycemic conditions.', 'High glucose levels inhibited PDLSC proliferation and differentiation into osteoblasts but induced NF-κB activation and subsequent interleukin (IL)-6 and IL-8 expression. Treatment with an NF-κB inhibitor rescued the defects in cell proliferation and osteoblastic differentiation and inhibited the IL-6 expression caused by the high-glucose environment.\Question: Do high Glucose Concentrations Suppress the Proliferation of Human Periodontal Ligament Stem Cells and Their Differentiation Into Osteoblasts?
SOLUTION:
|
The results of this study demonstrate that hyperglycemia inhibits human PDLSC proliferation and osteoblastic differentiation.
| 8
|
NIv2
|
task849_pubmedqa_answer_generation
|
fs_opt
|
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] |
In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
[2, 7, 1, 5, 2, 5]
|
[7, 1]
| 0
|
NIv2
|
task097_conala_remove_duplicates
|
zs_opt
|
[
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] |
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
Example: PersonX sees ___ in the wild
Example solution: tiger
Example explanation: This is a good example. The output is a correct answer for this question.
Problem: PersonX manages PersonX's ___ well
|
Solution: restaurant
| 5
|
NIv2
|
task1217_atomic_answer_generation
|
fs_opt
|
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] |
Instructions: You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'Text one' if the first sentence is simpler. Otherwise output 'Text two'.
Input: Text one: Kievan Rus' ultimately disintegrated and the lands were divided into many small feudal states.
Text two: Kievan Rus' fell apart. The lands were divided into many small feudal states.
Output:
|
Text two
| 3
|
NIv2
|
task112_asset_simple_sentence_identification
|
zs_opt
|
[
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] |
In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the second sentence, otherwise answer with '0'.
Q: Sentence 1: Kozlowski and the company's former chief financial officer, Mark Swartz, were sentenced, on Monday, to up to 25 years in prison. Sentence 2: Two former bosses of US manufacturer, Tyco, have been sentenced to up to 25 years in jail for stealing more than $150m (£m) from the company.
A:
|
0
| 4
|
NIv2
|
task1344_glue_entailment_classification
|
zs_opt
|
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This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning types are illustrated in the 'positive examples' field) and also have a variety of answer types (spans, numbers, dates). A span is a continuous phrase taken directly from the passage or question. In such questions, the answer spans are recommended to be five words. Questions with answer type "number", are expected to start with "How many". For instance, "How long did an event last?" can be phrased as "How many years did an event last?". To increase diversity, try to create more questions for which the answer will be multiple spans. Please create questions that require AT LEAST 2 arithmetic operations as illustrated in the 'positive examples' field. You are encouraged to try DIFFERENT COMBINATIONS of operations and not just limit to the combinations shown in those examples. The more challenging questions you create, the better it is.
Passage: The median income for a household in the county was $62,199, and the median income for a family was $67,602 (these figures had risen to $80,573 and $89,358 respectively as of a 2007 estimate). Males had a median income of $43,371 versus $34,231 for females. The per capita income for the county was $24,285. About 3.70% of families and 5.50% of the population were below the poverty line, including 6.70% of those under age 18 and 8.60% of those age 65 or over.
|
By how many dollars did the median income for a family rise by 2007?
| 0
|
NIv2
|
task026_drop_question_generation
|
zs_opt
|
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] |
Detailed Instructions: This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a single object. The input is a sentence and the output is the identified object of that sentence.
Q: The network Metfone is run by Viettel (Cambodia) Pte., Ltd. company
A:
|
Viettel (Cambodia) Pte., Ltd.
| 9
|
NIv2
|
task1413_dart_object_identification
|
zs_opt
|
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] |
Detailed Instructions: In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional information about the situation that might weaken or strengthen the hypothesis. A weakener is a statement that weakens the hypothesis. It makes you much less likely to believe the hypothesis is true. A strengthener is a statement that strengthens the hypothesis. It makes you much more likely to believe the hypothesis is true. Your task is to output 'strengthener' or 'weakener' if the update strengths or weakens the hypothesis, respectively.
Problem:Premise: PersonX sees PersonY's dad
Hypothesis: Because PersonX wanted to find person's dad
Update: The dad walked into the bar PersonX was sitting in
Solution:
|
weakener
| 8
|
NIv2
|
task935_defeasible_nli_atomic_classification
|
zs_opt
|
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] |
Definition: In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Input: [45, -2, 41, -29]
Output:
|
[-2, 41, -29]
| 2
|
NIv2
|
task370_synthetic_remove_divisible_by_3
|
zs_opt
|
[
-0.16830164194107056,
0.13517236709594727,
-0.8196450471878052,
-0.46603071689605713,
0.19021934270858765,
0.2841684818267822,
1.1526637077331543,
0.02075955644249916,
-0.15929928421974182,
-0.12509334087371826,
-0.8942903280258179,
0.40825897455215454,
0.12402020394802094,
-0.4832286834716797,
0.34687042236328125,
-0.5660672187805176,
-0.5082486867904663,
-1.0073673725128174,
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-0.014653010293841362,
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0.022948602214455605,
-0.6525019407272339,
0.14078021049499512,
0.5622763633728027,
0.4603395462036133,
0.5340077877044678,
0.6323136687278748,
-0.7076769471168518,
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] |
You will be given a definition of a task first, then some input of the task.
A text is given in English. Translate it from the English language to the Urdu language. The translation must not omit or add information to the original sentence.
پرساد بھارتی، ہندوستان اور ارجنٹینا کے میڈیا کے فیڈرل سسٹم اور عوامی موادات کے درمیان اشتراک وتعاون سے متعلق مفاہمتی عرضداشت وزیر خارجہ جناب جارج فوری
Output:
|
MOU on Cooperation and Collaboration between Prasar Bharti, India and the Federal System of Media and Public Contents, Argentina Mr.
| 1
|
NIv2
|
task1058_pib_translation_urdu_english
|
zs_opt
|
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] |
Part 1. Definition
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Part 2. Example
Comment: Enough already. Cut the head off this snake.
Answer: Threat
Explanation: This comment conveys a violent threat to someone.
Part 3. Exercise
Comment: @ nodaddynotthebelt
And yet OBAMAcare is your worst piece of legislation..YOURS..get it?
Answer:
|
Non-threat
| 7
|
NIv2
|
task322_jigsaw_classification_threat
|
fs_opt
|
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] |
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the selected choices may fit into the story at any point. Indicate your selected choices in order, i.e., as 'ab'/'bc'/'ac' and not as 'ba'/'ca'/'cb'. If options are equally plausible, pick the ones that make more sense.
Ex Input:
Title: He looks everywhere. He has no luck. One day his friend tells him about a new dealership. Choices: a. But then he saw it was the same driver just with a new bus. b. Justin applies and is approved for a new car. c. Justin is looking for a car.
Ex Output:
bc
Ex Input:
Title: Greg had just been caught at school with a cigarette. His dad was picking him up from school. Greg decided to pretend to apologize. Choices: a. The fire burned out of control and she had to call 911. b. He felt bad for lying but at least it ended the fight quickly. c. In the car, Greg and his dad argued loudly.
Ex Output:
bc
Ex Input:
Title: They stared in awe at all the colorful fish. At the end of the date, they both bought each other a keychain. They are already planning their next date. Choices: a. They laughed together at all the funny looking ones. b. Cindy got another job but never publicly posted about it. c. Mike and Amir met up for their first date at the aquarium.
Ex Output:
|
ac
| 1
|
NIv2
|
task221_rocstories_two_choice_classification
|
fs_opt
|
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] |
Detailed Instructions: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Problem:High-frequency alleles and/or co-occurring human leukocyte antigen (HLA) alleles across loci appear to be more important than individual alleles, because they might be markers of disease risk that have clinical value as biomarkers for targeted screening or the development of new therapies. To better elucidate the major histocompatibility complex background and to facilitate the experimental use of cynomolgus macaques, Mafa-B, Mafa-DQB1, and Mafa-DRB alleles were characterized and their combinations were investigated from 30 macaques of Vietnamese origin by cloning and sequencing. A total of 48 Mafa-B, 22 Mafa-DQB1, and 42 Mafa-DRB alleles, were detected in this study, respectively. In addition, two Mafa-DQB1 and eight Mafa-DRB alleles represented novel sequences that had not been documented in earlier studies. Our results also showed that the macaque from Vietnam might be valuable because Ͼ30% of the test animals possessed Mafa-DRB*w304 (30%) and -DQB1*0616 (30%). We report that the combination of major histocompatibility complex (MHC) class I and II alleles, including the combination of DRB3*0403-DRB*w304, DRB1*1013-DRB*w304, and Mafa-B*007:01:01-DRB*w304, which was in 17%, 13%, and 13% of the animals, respectively. Interesting, more than two Mafa-DQB1 alleles detected in one animal in this study suggest that Mafa-DQB1, like Mafa-DRB, might be a duplication in the chromosome, which have ever been documented in cynomolgus monkeys but has not yet been observed in rhesus macaques or other primates. Our results for the high frequency of commonly co-occurring MHC alleles across loci in a cohort of the Vietnamese cynomolgus macaque emphasized the value of this species as a model for biomedical research. ᭧
Solution:
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Comprehensive identification of high-frequency and co-occurring Mafa-B, Mafa- DQB1, and Mafa-DRB alleles in cynomolgus macaques of Vietnamese origin
| 8
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NIv2
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task1161_coda19_title_generation
|
zs_opt
|
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] |
Definition: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwise "No". Do not generate anything else apart from "Yes" or "No". The given sentence is incorrect if it changes the subsequent storyline, so that at least one of the three subsequent sentences form a consistent story.
Input: Sentence 1: Daisy loves to collect rocks and is proud of her large collection.
Sentence 3: New specimens were getting harder to find, making her sad
Sentence 4: Daisy's parents wanted to help, so they planned a trip to the Park
Sentence 5: That weekend, they all had a great time together hiking for new rocks
Given Sentence 2: Yesterday, he noticed a sore on his arm.
Output:
|
No
| 2
|
NIv2
|
task066_timetravel_binary_consistency_classification
|
zs_opt
|
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] |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Input: Consider Input: Comment: He has admitted to being a murderer...has requested the death penalty. Give it to him...no need to spend money on a trial.
Output: Threat
Input: Consider Input: Comment: Every one of the lawmakers who pushed this crap through should be prosecuted.
Output: Non-threat
Input: Consider Input: Comment: I guess you missed the difference between "sober" and "using illegal drugs ad/or illegal prostitutes"....
Just about anyone with a high security clearance (and I speak from experience) who engages in illegal activities, is risking their job.
|
Output: Non-threat
| 2
|
NIv2
|
task322_jigsaw_classification_threat
|
fs_opt
|
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] |
Given the task definition and input, reply with output. In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
I cannot see a rational way of bearing a grudge to him for that. I do not. Maybe because I do not live by Netflix and I do not care...
|
Not sad
| 5
|
NIv2
|
task399_semeval_2018_task1_tweet_sadness_detection
|
zs_opt
|
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] |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
[Q]: Head: PersonX checks PersonX's bag<sep>Tail: finds item
[A]: Yes
[Q]: Head: PersonX knows what PersonY meant<sep>Tail: PersonX gets the gist
[A]: Yes
[Q]: Head: PersonX badly wanted<sep>Tail: excited
[A]:
|
No
| 5
|
NIv2
|
task1200_atomic_classification_xeffect
|
fs_opt
|
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] |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Problem:Pamiętacie George 'a Busha? "" Na-ktu-ra-lny "". Słucham? "" Na-ktu-ra-lny "". (Śmiech) Czy umiesz powiedzieć "" nokturalny ""? "" Nukleturalny "". (Śmiech) Dziękuję bardzo.
Solution:
|
Vi ricordate? George Bush, "" Un nu-ca-ler. "" Scusa, cosa? "" Un nu-ca-ler. "" (Risate) Riuscite a dire "" condiscendente ""? "" condidescente. "" (Risate) Grazie tante.
| 8
|
NIv2
|
task1262_ted_translation_pl_it
|
zs_opt
|
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] |
Q: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the selected choices may fit into the story at any point. Indicate your selected choices in order, i.e., as 'ab'/'bc'/'ac' and not as 'ba'/'ca'/'cb'. If options are equally plausible, pick the ones that make more sense.
Title: I always ask my mom to paint my room with pink but she never listen. Until i grew up and have my own money. But then i realized i don't want pink room anymore. Choices: a. His text hadn't properly sent at all. b. I had this dream when i was a kid and it was to own a pink room. c. So i decided to paint my room with yellow instead.
A:
|
bc
| 7
|
NIv2
|
task221_rocstories_two_choice_classification
|
zs_opt
|
[
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] |
This task is to translate a news commentary given in French language into Russian language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Let me give you an example: L’or à 10.000 dollars l’once\xa0?
The answer to this example can be: Золото по 10\xa0000 долларов?
Here is why: This translation is accurate and is preserving the numerical values.
OK. solve this:
Bien qu’il semble que les positions des deux parties soient inconciliables, il n’est pas trop tard pour trouver un compromis.
Answer:
|
Тем не менее, несмотря на то, что обе стороны, по-видимому, занимают непримиримую позицию, пока еще есть время на то, чтобы найти компромиссное решение.
| 8
|
NIv2
|
task1377_newscomm_translation
|
fs_opt
|
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] |
Part 1. Definition
In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.
Part 2. Example
[77, 999, 855, 10, 56, 121, 801]
Answer: [77, 999, 121]
Explanation: The integers 77, 999, and 121 are the only integers in the input list that start and end with the same digit.
Part 3. Exercise
[125, -474, -141, 166, 811, 667, 78, -118, 846, -436, -936, 926, 381, 333, -977, -188, -651, -874, -810, 672, 864, 410, -598]
Answer:
|
[-474, -141, 333]
| 7
|
NIv2
|
task372_synthetic_palindrome_numbers
|
fs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the intended sentence. Label the instances as "ironic" or "not" based on your judgment. Note that URLs in the text have been replaced with [Link].
@mpolz_25 mostly LRS stores, just depends on who gets what. I'd say I tend to split between @CascadiaLIQ & @metroliquor_uni
Output:
|
not
| 1
|
NIv2
|
task386_semeval_2018_task3_irony_detection
|
zs_opt
|
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Given the task definition, example input & output, solve the new input case.
In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Example: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
First we select the student's id and city of their address. Next, to find where each student lived we must join the "Addresses" table with the "Student_Addresses" table on rows with the same "address_id". Finally, we want to return the student address with the highest monthly rent. This is a good example.
New input case for you: Show all student IDs who have at least two allergies.
Output:
|
SELECT StuID FROM Has_allergy GROUP BY StuID HAVING count(*) >= 2
| 1
|
NIv2
|
task107_splash_question_to_sql
|
fs_opt
|
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0.40867963433265686,
-0.7557321190834045,
-0.003734284546226263,
-0.05756189301609993,
-0.015568901784718037
] |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or anti-stereotype. You are expected to classify the passage into three classes: stereotype, anti-stereotype, and unrelated.
Example: Passage: The game-winning football player is very aggressive.
Output: Stereotype
It is a stereotype because we have a standardized image that game-winning players are commonly aggresive. There is no mention of the football player's aggresive behavior.
New input case for you: Passage: The people of vietnam seem to be very hornet.
Output:
|
Unrelated
| 1
|
NIv2
|
task279_stereoset_classification_stereotype
|
fs_opt
|
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] |
The task is to generate the correct answer for a given math problem.
[EX Q]: Problem: the sum of the squares of the first 15 positive integers ( 1 ^ 2 + 2 ^ 2 + 3 ^ 2 + . . . + 15 ^ 2 ) is equal to 1240 . what is the sum of the squares of the second 15 positive integers ( 16 ^ 2 + 17 ^ 2 + 18 ^ 2 + . . . + 30 ^ 2 ) ?
[EX A]: 8215
[EX Q]: Problem: if x and j are integers and 2 x – j = 11 , then 4 x + j can not be
[EX A]: 17
[EX Q]: Problem: two brother x and y appeared for an exam . the probability of selection of x is 1 / 3 and that of b is 2 / 7 . find the probability that both of them are selected .
[EX A]:
|
2 / 21
| 6
|
NIv2
|
task1726_mathqa_correct_answer_generation
|
fs_opt
|
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] |
Detailed Instructions: A question is presented to you in this task, and your job is to write a potentially correct answer.
See one example below:
Problem: where did france surrender ww2?
Solution: Mediterranean Sea
Explanation: This is a good example and the output correctly answers the question.
Problem: where is greyton western cape?
Solution:
|
Western Cape
| 4
|
NIv2
|
task1412_web_questions_question_answering
|
fs_opt
|
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] |
Q: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
Portanto, é na verdade uma interface multi-dimensional.
A:
|
Así que en realidade é unha interface de usuario multidimensional.
| 7
|
NIv2
|
task1279_ted_translation_pt_gl
|
zs_opt
|
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] |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Example Input: Sentence 1: A man wearing all black sits on a wooden bench and reads, his umbrella is open nearby on the ground. Sentence 2: A man is waiting for a bus
Example Output: a guy reads by his umbrella
Example Input: Sentence 1: A man in dirty jeans on top of a scaffolding. Sentence 2: A man is wiring lighting on top of a scaffolding.
Example Output: A man is on top of scaffolding.
Example Input: Sentence 1: Male guitar player on stage in a black shirt. Sentence 2: Someone performs.
Example Output:
|
A man is on stage.
| 3
|
NIv2
|
task189_snli_neutral_to_contradiction_text_modification
|
fs_opt
|
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] |
Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
[Q]: Japanese: Ng'aniがBBCで技術と経験がある他の労働者を見つけることの難しさを述べる一方で、伝えられるところでは、ムトゥアはこのことは問題ではないと述べた。
Lao: ຫຼາຍກວ່າ 300 ຄົນ ໄດ້ເບິ່ງການຈັດສົ່ງປາວານລົງສູ່ທະເລ ຕາມດ້ວຍ ການຊ່ວຍເຫຼືອ 30 ຊົ່ວໂມງ.
[A]: No
[Q]: Japanese: パシフィック・ガス・アンド・エレクトリック・カンパニー（PG&E）はいくつかの訴訟に直面しており、そのうちひとつは9月10日にガス管がカリフォルニア州サンブルーノで爆発して、住宅37軒を含む50の建造物を完全に破壊したのを受けて同地域の住人らが訴えたものである。
Lao: ບໍລິສັດ ເດິ້ ປາຊິຟິກ ແກັສ ແລະ ອີເລັກທຣິກ (PG&E) ກຳລັງປະເຊີນກັບການຟ້ອງຮ້ອງຫຼາຍຄະດີ ລວມທັງໜຶ່ງເຂດ ໂດຍຜູ້ອາໄສຂອງ ຊັນ ບຣູໂນ ຄາລີຟໍເນຍ ຫຼັງຈາກທີ້ທໍ່ແກັສ ໄດ້ລະເບີດໃນບໍລິເວນຂອງພວກເຂົາ ໃນວັນທີ 10 ເດືອນກັນຍາ ໄດ້ຖືກທຳລາຍຢ່າງສິ້ນຊາກກວ່າ 50 ຫຼັງ ໃນນັ້ນແມ່ນເຮືອນ 37 ຫຼັງ.
[A]: Yes
[Q]: Japanese: ビッグフット・ハンターのマット・ホイットンとリック・ダイヤーは、2008年8月15日、彼らがジョージア州北東部の森でその生物の狩りをしていたとき、伝説の未確認動物の死体に出くわしたと言った。
Lao: ນັກລ່າຕີນໃຫຍ່ ແມັດ ວິດຕັນ ແລະ ຣິກ ໄດເອີ້ ໄດ້ເນັ້ນໃນວັນທີ 15 ເດືອນສິງຫາ ປີ 2008 ວ່າ ພວກເຂົາໄດ້ລ່າສິ່ງທີ່ມີຊີວິດຢູ່ໃນປ່າຂອງ ພາກເໜືອຈໍເຈຍ ໃນເວລາທີ່ພວກເຂົາໄດ້ຂ້າມສົບສົມມຸດຂອງ ໜຶ່ງໃນສັດປະຫຼາດໃນຕຳນານ.
[A]:
|
Yes
| 5
|
NIv2
|
task1126_alt_ja_lo_answer_generation
|
fs_opt
|
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] |
Definition: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of logical operators:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Input: Command: most_greater_eq { all_rows ; score ; 5 }, interpretation: select the rows whose date record fuzzily matches to october . among these rows , select the rows whose result record fuzzily matches to w . the number of such rows is 3 .
Output:
|
no
| 2
|
NIv2
|
task211_logic2text_classification
|
zs_opt
|
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] |
Part 1. Definition
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Part 2. Example
É basicamente un caldeiro que rota.
Answer: ويوجد أساسا مرجل دوار.
Explanation: The Galician sentence is correctly translated into Arabic, because the meaning is preserved.
Part 3. Exercise
Jocelyne Bloch: Os meirandes obstáculos son as regulacións. (Risos) Así que, a partir destes bos resultados, necesitas obter arredor de dous kg de papeis e formularios para ser quen de desenvolver este tipo de ensaios.
Answer:
|
جوسلين بلوش: القوانين واللوائح هي أكبر العقبات. (ضحك) لذلك ، ومن هذه النتائج المثيرة ، أنت بحاجة لتعبئة حوالي كيلوغرامين من الأوراق والنماذج والاستمارات لكي تستطيع القيام بهذا النوع من التجارب.
| 7
|
NIv2
|
task1241_ted_translation_gl_ar
|
fs_opt
|
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] |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on your judgment.
Q: The thick sweet scent of illumination spilled from the half-open door into the foyer .
A: Changed
****
Q: He stilled , his muscles cramping from strain .
A: Changed
****
Q: With his free hand , Nine starts punching Eight , aiming for the pointy ears that poke through the deeds of his mane .
A:
|
Changed
****
| 4
|
NIv2
|
task515_senteval_odd_word_out
|
fs_opt
|
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] |
Detailed Instructions: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage.
Q: Above the forestry, there is often a band of short pine trees (Pinus mugo), which is in turn superseded by Alpenrosen, dwarf shrubs, typically Rhododendron ferrugineum (on acid soils) or Rhododendron hirsutum (on alkaline soils). Although the Alpenrose prefers acidic soil, the plants are found throughout the region. Above the tree line is the area defined as "alpine" where in the alpine meadow plants are found that have adapted well to harsh conditions of cold temperatures, aridity, and high altitudes. The alpine area fluctuates greatly because of regional fluctuations in tree lines.
A:
|
What is often above the forestry?
| 9
|
NIv2
|
task074_squad1.1_question_generation
|
zs_opt
|
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] |
Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into four classes: Religious, Political, Geopolitical and Personal depending on the topic.
Input: সাংবাদিক ভাই আপনি এসব তুলে ধরেছেন আমার মনে হয় আপনাকে ও মেরে ফেলতে পারে আওয়ামী লীগ আপনি সাবধানে থাকবেন
Output:
|
Political
| 3
|
NIv2
|
task1494_bengali_hate_speech_classification
|
zs_opt
|
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] |
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Context: @finaidfool I'm not a crass piece of garbage, but I will not argue with the second part of your statement.— Victor Paul Alvarez (@vpaulalvarez) January 15, 2015 Answer: a piece of garbage.
what does alvarez maintain he isn't?
Context: One of the uncomfortable things I learned on my trip down the #endangeredriver. Irrigation caused this in the 1980s. John D. Sutter (@jdsutter) July 22, 2014 Answer: irrigation issues of the endangered river
what disaster happened in the 1980s?
Context: Apple Watch FTW!!! Congrats to the BuzzFeed team on an amazing November!— Jonah Peretti (@peretti) December 4, 2014 Answer: an amazing november
|
what does he congratulate them on?
| 0
|
NIv2
|
task240_tweetqa_question_generation
|
fs_opt
|
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] |
Instructions: In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct subject of discussion or return "False" if it's incorrect.
Input: Statement: Says Romney said we should ask Pakistan for permission to take a shot at Osama bin Laden.
Subject: corrections-and-updates,health-care
Output:
|
False
| 3
|
NIv2
|
task1187_politifact_classification
|
zs_opt
|
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0.05209559202194214,
0.5850400924682617,
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1.063057541847229,
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0.4161653220653534,
-0.9575406908988953,
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-0.395615816116333
] |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Q: And I'll just play you part of a mockup of it, but you get a sense of what it's like to actually enter into that moment in time and be transported back in history.
A:
|
E vou só passar uma parte do modelo disso mas conseguem ter uma ideia do que é entrar nesse momento no tempo e ser-se transportado para trás na História.
| 9
|
NIv2
|
task1094_ted_translation_en_pt
|
zs_opt
|
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] |
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.
Example input: 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.
Example output: 5
Example explanation: The user really seem very satisfied with the product and gave good review worthy of 5 stars rating.
Q: A few years back, prompted by the death of one of our dogs due to an inoperable brain tumor, I switched my dogs to foods without corn. I was convinced, right or wrong, that my animal died needlessly because of an over usage of steriods prescribed to cure her constant ear infections. I believe, again right or wrong, that the recurring ear infections were caused by an allergy to corn...which turned out to be the main ingredient in her food! Sorry, I'll get off my soapbox and address the issue at hand...I found this food by accident. The only type the store had was the weight loss formula. Turns out my dogs love it! I haven't seen them so spunky and full of energy. I've got a coon hound and two jack russells (mine are not the "bounce off the wall kind", mine are mellow, laid back kinda dudes!) They gobble this stuff up and seem to stay full...no more begging in the kitchen than normal! Everyone's skin seems smoother, eyes are brighter, heck, I think I'll go have a bowl! All I can say, is if you are looking for a good quality dog food, this is the one for you. YOU WILL NOT BE DISAPPOINTED!
A:
|
5
| 3
|
NIv2
|
task588_amazonfood_rating_classification
|
fs_opt
|
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] |
instruction:
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional information about the situation that might weaken or strengthen the hypothesis. A weakener is a statement that weakens the hypothesis, that is, it makes you much less likely to believe the hypothesis is true. A strengthener is a statement that strengthens the hypothesis, that is, it makes you much more likely to believe the hypothesis is true. Your task is to answer with 'strengthener' or 'weakener' if the update strengthens or weakens the hypothesis, respectively.
question:
Premise: Four men, seated inside a plain room on benches and dressed in military fatigues are conversing, one man wears a white YWCA t-shirt.
Hypothesis: Four soldiers have just finished training.
Update: The men are sweaty and muddy
answer:
strengthener
question:
Premise: A black and brown dog is running out of the surf.
Hypothesis: A dog is swimming excitedly.
Update: The dog swims with great enthusiasm out of the water.
answer:
strengthener
question:
Premise: A family having a fun time on the sands of a river by playing cricket.
Hypothesis: Cousins are having a nice time hosting a cricket tournament at the family reunion near a river on a sunny day.
Update: There is a man announcing the play by play.
answer:
|
strengthener
| 9
|
NIv2
|
task936_defeasible_nli_snli_classification
|
fs_opt
|
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] |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Example: English sentence: How is this possible
Example solution: Olee kwere omume?
Example explanation: The Igbo translation means the same as the original sentence in the English language.
Problem: English sentence: cats and mice (spite and Malice) – a form of competitive tapeworm;
|
Solution: nwamba na ụmụ oke (n'agbanyeghị na Malice) - ụdị asọmpi asọmpi;
| 5
|
NIv2
|
task452_opus_paracrawl_en_ig_translation
|
fs_opt
|
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] |
TASK DEFINITION: In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
PROBLEM: Context: The films were shot at Pinewood (LightsII) and Shepperton studios (Lights II, Return of The Shadow), with locations including Hastings in East Sussex Link Information: Shepperton is a suburban village in the borough of Spelthorne, in the county of Surrey in England Question: What country are these cities part of?
SOLUTION: Answer: England
PROBLEM: Context: which raised tensions to a fever pitch which would result in the worst massacre of the war at Circleville. Link Information: Circleville is a town in Piute County, Utah, United States Question: In which state did the worst massacre of the Black Hawk War take place?
SOLUTION: Answer: Utah
PROBLEM: Context: In 2013, Willis co-presented Link Information: none Question: Were both of the hosts Willis worked with through 2015 married at some point up to then?
SOLUTION:
|
Answer: none
| 8
|
NIv2
|
task237_iirc_answer_from_subtext_answer_generation
|
fs_opt
|
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-0.18059051036834717,
-0.9655480980873108,
0.5374624133110046,
-0.7627913355827332,
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-0.15994325280189514,
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-0.20540301501750946,
-0.39038822054862976,
-0.02360437996685505,
0.6037116646766663
] |
Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Input: Sentence 1: A girl is filling a green, two-liter bottle with water in her garage. Sentence 2: A girl fills a bottle with water.
Output:
|
A boy sprays a hose.
| 3
|
NIv2
|
task187_snli_entailment_to_contradiction_text_modification
|
zs_opt
|
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] |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
One example: Person1: Passport , please , madam .
Person2: Just a minute , please . It's in my bag . Here it is .
Person1: Thank you . Please fill out the Baggage Declaration Form .
Person2: All right . Shall I enter all my belongings ?
Person1: No , only the articles listed on the Declaration .
Solution is here: 0
Explanation: The first sentence in the conversation begins with a request, therefore there is no presence of a question.
Now, solve this: Person1: Hey , Lily ! You won't believe what happened in class today !
Person2: What ?
Person1: A man sent Miss Smith flowers , and Bryan got kicked out of class !
Person2: Cool ! I wish I could have been there !
Person1: Me , too . I miss you . Are you any better ?
Person2: Yes . But if I have any more soup , I think I'll die .
Solution:
|
0
| 6
|
NIv2
|
task1534_daily_dialog_question_classification
|
fs_opt
|
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In this task you are given a Chinese paragraph related to a criminal case, your job is to give an answer of what the criminal charge is. Take note a) if there are multiple charges only one needs to be outputted b) the criminal charge should be in Chinese.
Example input: 昌宁县人民检察院指控，2014年4月19日下午16时许，被告人段某驾拖车经过鸡飞乡澡塘街子，时逢堵车，段某将车停在“冰凉一夏”冷饮店门口，被害人王某的侄子王2某示意段某靠边未果，后上前敲打车门让段某离开，段某遂驾车离开，但对此心生怨愤。同年4月21日22时许，被告人段某酒后与其妻子王1某一起准备回家，走到鸡飞乡澡塘街富达通讯手机店门口时停下，段某进入手机店内对被害人王某进行吼骂，紧接着从手机店出来拿得一个石头又冲进手机店内朝王某头部打去，致王某右额部粉碎性骨折、右眼眶骨骨折。经鉴定，被害人王某此次损伤程度为轻伤一级。
Example output: 故意伤害
Example explanation: The phrase 'hit Wang on the head' implies that the criminal charge is assault/battery.
Q: 公诉机关指控，2016年9月初，被告人冯某得知候某（另案处理）让人帮忙找小孩送人抱养可以赚钱，便打电话告诉罗某1（另案处理）将自己小孩卖给他人可获利，罗某1表示同意。2016年10月15日晚上，罗某1、王某1夫妇抱着刚出生不久的三女儿罗某2从云南省广南县到厦门市，被告人冯某接他们到其位于厦门市同安区西柯镇官浔村的租房，商议将罗某2以25000元（人民币，下同）卖给他人。次日8点许，在该租房楼下的水泥路上，罗某1夫妇将三女儿罗某2交给被告人冯某、李某（另案处理）夫妇，冯某、李某抱着罗某2搭乘摩的到龙某动车站附近的候某租房处，冯某在租房内等侯，候某载李某和罗某到龙海市颜厝镇水头村附近的金榜公园，以30000元将罗某2卖给他人，后二人回到候某租房，候某交给被告人冯某28000元。冯某和李某回到厦门同安自己的租房后，冯某交给罗某125000元，其从中获利3000元。2016年11月24日，被告人冯某在长泰县文体中心工地被长泰县公安局民警抓获，到案后如实供述上述事实。
A:
|
拐卖[妇女、儿童]
| 3
|
NIv2
|
task1667_cail2018_answer_generation
|
fs_opt
|
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] |
Instructions: In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's questions or follow-up questions on the user's command. Answer with "User" or "Agent".
Input: No it should be an hour long
Output:
|
user
| 3
|
NIv2
|
task1599_smcalflow_classification
|
zs_opt
|
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] |
Q: In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Sentence: 'a brick church with a motorcycle parked in front'. How many words end with the letter 'h' in the sentence.
A:
|
2
| 7
|
NIv2
|
task163_count_words_ending_with_letter
|
zs_opt
|
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Q: In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Article: Unconventional in every way, Edward Estlin Cummings made striking use of grammar. His arts were poetry, painting, and drama, and in all of them he was an experimenter. The poetry -- for which he is best remembered -- was marked by strange combinations of words and expressions and produced in very strange print. The unusual techniques that Cummings used served to present his ideas more forcefully and effectively than would have been the case with more ordinary styles. Cummings was born in Cambridge, Massachusetts, on Oct. 14, 1894. He graduated from Harvard College in 1915 and received a master's degree in 1916. During World War I he served as an ambulance driver in France. He spent six months in prison because of his friendship with another American who had supposedly criticized the countries that fought against Germany in the First World War. This experience increased his distrust of all officialdom , a distrust that showed itself in many of his later poems as well as in his first book, "The Enormous Room", published in 1922. Between the two world wars Cummings divided his time between Paris and New York City. His first book of poetry was "Tulips and Chimneys" (1923). The poems in the book were collected in "Complete Poems" (1968). The strangeness of his style was criticized by some, but others found it meaningful. Among Cummings' plays were "Him", first performed in 1927, and "Tom" (1935), a work based on "Uncle Tom's Cabin". An experimental prose book, "Eimi" (1933), recorded a 36-day visit to the Soviet Union. Cummings died at his home in North Conway, N.H., on Sept. 3, 1962. He was the second most widely read poet in the United States, after Robert Frost. He was buried in Forest Hills Cemetery in Boston, Massachusetts.
Answer: a poet
A:
|
Cummings was chiefly famous as _ .
| 7
|
NIv2
|
task649_race_blank_question_generation
|
zs_opt
|
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] |
Detailed Instructions: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
Problem:Query: How should I use the septic system design
Clarification: are you interested in any specific activities at university of carolina
Solution:
|
No
| 8
|
NIv2
|
task227_clariq_classification
|
zs_opt
|
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] |
Detailed Instructions: In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise. Please answer with "Contradiction", "Neutral", or "Entailment".
Q: Premise: Akka (Tamil: அக்கா ) (English: Sister ) is a Tamil soap opera aired on Jaya TV. The show premiered on 15 September 2014 and aired Monday through Friday at 8:30PM IST. The Show Stars by Kausalya, Nithya Das, Feroz Khan and Akhila in lead roles. The show last aired on 9 April 2015 and ended with 143 episodes. <sep> Hypothesis: Akka was on six days a week.
A:
|
Contradiction
| 9
|
NIv2
|
task1386_anli_r2_entailment
|
zs_opt
|
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] |
Detailed Instructions: In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on your judgment.
Q: " A great accomplishment , Comrade Wang , " stated Ri Yun who was to be the fourth and last speaker before lunch .
A:
|
Original
| 9
|
NIv2
|
task515_senteval_odd_word_out
|
zs_opt
|
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] |
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the middle sentence, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Q: Beginning: I had a home repair business. Ending: Now, I have protection in case someone sues me.
A: I repaired a floor board but the home owner tripped on it before I completed the job.
****
Q: Beginning: Luke decided it was time to get a haircut. Ending: Luke looks like a new person!
A: Luke made an appointment with a barber.
****
Q: Beginning: Meghan was walking in the forest. Ending: The conservationist applauded Meghan's discovery.
A:
|
Megan was astounded to find a bird that was thought to be extinct.
****
| 4
|
NIv2
|
task067_abductivenli_answer_generation
|
fs_opt
|
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] |
Q: In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Which school did the player born on December 9 , 1976 play for ?
A:
|
NU
| 7
|
NIv2
|
task344_hybridqa_answer_generation
|
zs_opt
|
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] |
In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.
Q: Question: In a clinical trial, the non-inferiority of the HDP-MDI inhaler (experimental) was evaluated against the FDC-ELIPTUS inhaler (control). The lower clinically relevant limit was set at -50 ml in the forced expiratory volume in the first second (FEV1). The results showed an absolute difference in FEV1 between treatments of +8 mL in favor of the HDP-MDI inhaler (95% confidence interval: -59 ml to +67 ml). Point out the CORRECT answer:
Options: <1> The new HDP-MDI inhaler is superior to the control inhaler. <2> The FDC-ELIPTUS inhaler is non-inferior to the experimental inhaler. <3> The study is not conclusive. <4> Both inhalers are equivalent. <5> The HDP-MDI inhaler is non-inferior to the control inhaler.
A:
|
3
| 4
|
NIv2
|
task1431_head_qa_answer_generation
|
zs_opt
|
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] |
Given the task definition and input, reply with output. In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.
Passage: Iraqi parties have started to make rumblings about a timetable for the withdrawal of US troops in Iraq, currently numbering some 160,000 for the election but expected to drop by 20,000 afterward. Jeffrey repeated the US line that American forces would leave if asked but said, "We don't think that the Iraqi government, or a Iraqi government, will take that step any time in the near future." Question: What event has begun but has not finished? Events: ['started', 'rumblings', 'withdrawal', 'numbering', 'election', 'drop', 'repeated', 'leave', 'asked', 'said', 'think', 'step']
|
started
| 5
|
NIv2
|
task390_torque_text_span_selection
|
zs_opt
|
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] |
In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage while labelling True or False.
--------
Question: Passage: In its focus on the Caliphate, the party takes a different view of Muslim history than some other Islamists such as Muhammad Qutb. HT sees Islam's pivotal turning point as occurring not with the death of Ali, or one of the other four rightly guided Caliphs in the 7th century, but with the abolition of the Ottoman Caliphate in 1924. This is believed to have ended the true Islamic system, something for which it blames "the disbelieving (Kafir) colonial powers" working through Turkish modernist Mustafa Kemal Atatürk. Question: What's the party's take on Muslim present?
Answer: False
Question: Passage: The mayor of Warsaw is called President. Generally, in Poland, the mayors of bigger cities are called presidents – i.e. such cities, which have over 100,000 people or these, where already was president before 1990. The first Warsaw President was Jan Andrzej Menich (1695–1696). Between 1975 and 1990 the Warsaw Presidents was simultaneously the Warsaw Voivode. Since 1990 the President of Warsaw had been elected by the City council. In the years of 1994–1999 the mayor of the district Centrum automatically was designated as the President of Warsaw: the mayor of Centrum was elected by the district council of Centrum and the council was elected only by the Centrum residents. Since 2002 the President of Warsaw is elected by all of the citizens of Warsaw. Question: Who has elected the President of Warsaw since 1990?
Answer: True
Question: Passage: Some disagree with such double or triple non-French linguistic origins, arguing that for the word to have spread into common use in France, it must have originated in the French language. The "Hugues hypothesis" argues that the name was derived by association with Hugues Capet, king of France, who reigned long before the Reformation. He was regarded by the Gallicans and Protestants as a noble man who respected people's dignity and lives. Janet Gray and other supporters of the hypothesis suggest that the name huguenote would be roughly equivalent to little Hugos, or those who want Hugo. Question: Who was Janet Gray married to?
Answer:
|
False
| 7
|
NIv2
|
task349_squad2.0_answerable_unanswerable_question_classification
|
fs_opt
|
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] |
Q: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
passage: Eastbound vehicles must pay a toll to cross the bridge; as with all Hudson River crossings along the North River, westbound vehicles cross for free. As of December 6, 2015, the cash tolls going from New Jersey to New York are $15 for both cars and motorcycles. E-ZPass users are charged $10.50 for cars and $9.50 for motorcycles during off-peak hours, and $12.50 for cars and $11.50 for motorcycles during peak hours. Trucks are charged cash tolls of $20.00 per axle, with discounted peak, off-peak, and overnight E-ZPass tolls. A discounted carpool toll ($6.50) is available at all times for cars with three or more passengers using NY or NJ E-ZPass, who proceed through a staffed toll lane (provided they have registered with the free ``Carpool Plan''). There is an off-peak toll of $7.00 for qualified low-emission passenger vehicles, which have received a Green E-ZPass based on registering for the Port Authority Green Pass Discount Plan.
question: do you have to pay both ways on the george washington bridge?
A:
|
No
| 7
|
NIv2
|
task380_boolq_yes_no_question
|
zs_opt
|
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Q: The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence into the English language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should be natural language and formal form of each sentence in your language. The output sentence should not be a colloquial form of the input sentence. The generated output should be in natural language which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) Numbers and fully capitalized words like SEPTEMBER, or 10 HOURS *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. 5) Note the input is in sentence case except for special placeholders. Please do the same in your translations.
Bó tilẹ̀ jẹ́ pé ẹlẹ́sìn Búdà ni mí, mo bọ̀wọ̀ fún wọn torí pé ìgbàgbọ́ wọn lágbára, ìgbàgbọ́ yẹn ni ò jẹ́ kí ọ̀pọ̀ tó kú lára wọn torí inúnibíni ìjọba Násì jáwọ́ nínú ohun tí wọ́n gbà gbọ́, tó sì mú kí wọ́n fẹ̀mí ara wọn lélẹ̀ kí wọ́n má bàa sẹ́ ìgbàgbọ́ wọn.
A:
|
Although I am a Buddhist, I respect them for the strength of their faith—a faith that allowed their many martyrs under Nazism not to fail in their religious convictions and even to sacrifice themselves so as not to renounce their religion.
| 7
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NIv2
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task1620_menyo20k-mt_yo_en_translation
|
zs_opt
|
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] |
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
Input: Consider Input: What region is the nature center with the largest undisturbed mixed grass prairie in the United States located in ?
Output: WP NN VBZ DT NN NN IN DT JJS JJ JJ NN NN IN DT NNP NNPS VBN IN .
Input: Consider Input: What era was the large building given in inheritance of the 1973 movie in which Celia Kaye played Anne built ?
Output: WP NN VBD DT JJ NN VBN IN NN IN DT CD NN IN WDT NNP NNP VBD NNP VBN .
Input: Consider Input: What is the total length in Poland of the river that is navigable from Kostrzyn nad Odrą to Konin ?
|
Output: WP VBZ DT JJ NN IN NNP IN DT NN WDT VBZ JJ IN NNP CC NNP TO NNP .
| 2
|
NIv2
|
task345_hybridqa_answer_generation
|
fs_opt
|
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