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Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish. Problem:إنها تبحث فعلاً عنهم في الأسفل في عالمها. Solution:
tylko zdalnie oglądaja.
8
NIv2
task1107_ted_translation_ar_pl
zs_opt
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Given a sentence in Hindi, generate a new Hindi 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. Q: आप शायद एक खलिहान में रसायन - विज्ञान के अध्ययन का शिकार हों । A:
शायद आप एक इमारत में रेडियो स्टूडियो ढूँढ़ सकते हैं ।
4
NIv2
task407_mickey_hi_sentence_perturbation_generation
zs_opt
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Given the task definition, example input & output, solve the new input case. In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting string. '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'. Perform the operations in order, i.e., do not reverse first and then concatenate. Example: 1, 3, ['238', 'h', '92', 'U', '2799'] Output: 29h832 Here, concatenating all the elements between the 1st element and 3rd element and then reversing the string gives '29h832'. New input case for you: 1, 10, ['6897', '89', 'P', 'b', '6791', 'C', '521', '4523', 'f', 'L', 'p', 'l'] Output:
Lf3254125C1976bP987986
1
NIv2
task267_concatenate_and_reverse_all_elements_from_index_i_to_j
fs_opt
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Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish. Input: مرئية... موسيقية.... و حسية Output:
Wizualnie. Muzycznie. Zmysłowo.
3
NIv2
task1107_ted_translation_ar_pl
zs_opt
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In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable. Sentence: The laborer dug a hole for the secretary and demanded her to pay. Profession: secretary
Identifiable
0
NIv2
task350_winomt_classification_gender_identifiability_pro
zs_opt
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In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate female and male, respectively. M: I can't find my maths book in the drawer, has anyone taken it? ,F: It should be on your desk in the bedroom. I cleaned the drawer yesterday. (A) M: I am sorry. You spoke so rapidly that I did not catch the meaning of what you said. Could you repeat that? (B) M: So you mean my math book is probably on my desk, don't you? (C) M: As you said, my maths is book probably on my desk in the dining room, right? (D) M: Why do you say that my maths book is probably on my bed? You didn't clean the drawer yesterday. B M: Mother, can you buy me a copy of this month's sunrise magazine? There's an article in it about how to care for fish. ,F: Sure. I'll get one for you this afternoon when I go to get a new teapot. (A) M: Thanks. I just need a fashion magazine. (B) M: Thanks. I just need a magazine. (C) M: I am afraid I did not quite catch what you were saying. Please repeat it. (D) M: Could you please bring me a teapot? B F: Can you take me to the Opera House, please? ,M: Sure, you're going to see a musical that's playing there? ,F: Yes, but it starts at 6:00, do you think will get there in time? (A) M: Sure, darling. I will send you home now since you feel uncomfortable. (B) M: Don't worry,. I will send you to the Golden Theatre for your musical. (C) M: Your movie starts at 7pm, so I'm sure that you won't be late for that. (D) M: Just a minute! I do not quite follow what you are saying, would you mind repeating that?
D
0
NIv2
task611_mutual_multi_turn_dialogue
fs_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. Example input: Passage: The outbreak of the Seven Years' War in Europe in 1756 resulted in renewed conflict between French and British forces in India. The Third Carnatic War spread beyond southern India and into Bengal where British forces captured the French settlement of Chandernagore in 1757. However, the war was decided in the south, where the British successfully defended Madras, and Sir Eyre Coote decisively defeated the French, commanded by Comte de Lally at the Battle of Wandiwash in 1760. After Wandiwash, the French capital of Pondicherry fell to the British in 1761. The war concluded with the signing of the Treaty of Paris in 1763, which returned Chandernagore and Pondichéry to France, and allowed the French to have "factories" in India but forbade French traders from administering them. The French agreed to support British client governments, thus ending French ambitions of an Indian empire and making the British the dominant foreign power in India. Example output: Which french settlement did the British capture first, Chandernagore or Pondicherry? Example explanation: This is a good question since it involves a comparison around a particular event, "British capturing the French settlement", which requires looking at more than a single sentence. Q: Passage: The Packers began their 2008 campaign at home against their NFC North foe, the Minnesota Vikings, in the first game of 2008's Monday Night Football doubleheader. Green Bay struggled early to move the ball, but a 56-yard Aaron Rodgers pass to Greg Jennings set the Packers up with a 1st and goal at the Vikings 6. The Packers scored 4 plays later on a 3rd down pass from Aaron Rodgers to fullback Korey Hall. Punt returner Will Blackmon also scored in the 3rd quarter on a 76-yard punt return to give the Packers a commanding 17-6 lead. Later in the 3rd, the Vikings scored a TD paired with a failed 2-point conversion attempt. The Packers responded with a 57-yard run by Ryan Grant to the Minnesota 2 that set up a 1-yard touchdown rush by Aaron Rodgers to make the score 24-12. The Vikings Adrian Peterson scored a 3-yard rushing touchdown on their next drive to bring the Packers lead back to 5 points with 2:43 left in the 4th quarter. The following Vikings onside kick was knocked out of bounds after touching safety Atari Bigby. The Packers then went three and out and punted the ball back to the Vikings with 2 minutes left. Vikings quarterback Tarvaris Jackson was later intercepted by Atari Bigby which sealed the victory for the Packers as they started out the season at 1-0. Will Blackmon was named NFC Special Teams Player of the Week. A:
How many yards did the longest and shortest touchdown combine for?
3
NIv2
task026_drop_question_generation
fs_opt
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Detailed Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios. Note that there are distractor sentences in each story that are unrelated to the question and are designed to confuse the reader. Q: Aiden entered the attic. Avery entered the attic. The grapefruit is in the blue_box. Aiden moved the grapefruit to the green_cupboard. Phone rang. Aiden entered the den. Avery entered the den. The carrot is in the red_treasure_chest. Phone rang. Aiden moved the carrot to the red_drawer. Elizabeth entered the patio. Avery entered the patio. The cucumber is in the red_crate. Elizabeth moved the cucumber to the red_bucket. Aiden entered the study. Amelia entered the study. The eggplant is in the red_bottle. Aiden moved the eggplant to the green_pantry. Where is the eggplant really? A:
green_pantry
9
NIv2
task154_tomqa_find_location_hard_noise
zs_opt
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A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence. Input: Consider Input: ఈ ఎంఒయు పైన ఈ సంవత్సరం అక్టోబ‌ర్ 3వ తేదీన న్యూ ఢిల్లీ లో సంతకాలయ్యాయి. Output: இந்த புரிந்துணைர்வு உடன்படிக்கை புதுதில்லியில் 3, அக்டோபர், 2018 அன்று கையெழுத்தானது. Input: Consider Input: కోట్లాది ప్రజల హృద‌యాల లోను, మస్తిష్కాల లోను మహత్త్వాకాంక్ష ను రగిలించడంలో బాబాసాహెబ్ ఆంబేడ్ కర్ ఒక కీలకమైన పాత్రను పోషించినట్లు ప్రధాన మంత్రి చెప్పారు. Output: கோடிக்கணக்கான மக்களின் மனங்களிலும் மற்றும் இதயங்களிலும் ஆர்வத்தை ஏற்படுத்துவதில், பாபாசாகேப் அம்பேத்கர் முக்கியப் பங்கு வகித்ததைப் பிரதமர் குறிப்பிட்டார். Input: Consider Input: అనేకమంది ప్రజలకు పరిశుభ్ర వంట ఇంధన లభ్యత లేదు.
Output: எண்ணெய் மற்றும் எரிவாயு, வர்த்தகப் பொருளாக மட்டுமின்றி அத்தியாவசியப் பொருளாகவும் உள்ளது.
2
NIv2
task1076_pib_translation_telugu_tamil
fs_opt
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Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese. Problem:دستورالعمل ها را انجام می دم ، علامت های گام ها ، شدت صداها Solution:
Sigo as instruções, as marcações do tempo, a dinâmica.
8
NIv2
task1273_ted_translation_fa_pt
zs_opt
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You are given a sentence in English. Your job is to translate the English sentence into Arabic. One example is below. Q: (Applause) However there is a political battle in our country. A: (تصفيق) ومع ذلك هناك معارك سياسية في بلدنا. Rationale: The English sentence is correctly translated into Arabic, because the meaning is preserved. Q: Here in America, 90 percent of the corn cultivated is used to feed animals or to do oil. A:
هنا في أمريكا 90 في المائة من الذرة المحروثة تستخدم لإطعام الحيوانات أو لعصر الزيت.
9
NIv2
task1220_ted_translation_en_ar
fs_opt
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Given the task definition and input, reply with output. 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'. Person1: I don't think we come here at a right time . Person2: What's wrong ? Person1: The museum doesn't open today . Person2: What a pity ! Person1: Where shall we go now ? Person2: Why not have a visit to the zoo ?
0
5
NIv2
task1534_daily_dialog_question_classification
zs_opt
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Detailed Instructions: Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Completion A, Completion B, Completion C, or Completion D. Q: Prompt: Jack is walking in the hallway. Emma is biking on the sidewalk. Emma Completion A: is on the sidewalk Completion B: is in the hallway Completion C: nothing Completion D: is walking A:
Completion A
9
NIv2
task156_codah_classification_adversarial
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 an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0. System Reference: where would you like it to be near to? Original Reference: is there an area you would like to be near?. Output:
0
1
NIv2
task1283_hrngo_quality_classification
zs_opt
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Teacher: Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal. Teacher: Now, understand the problem? If you are still confused, see the following example: Chronic rhinosinusitis (CRS) is a heterogeneous disease with an uncertain pathogenesis. Group 2 innate lymphoid cells (ILC2s) represent a recently discovered cell population which has been implicated in driving Th2 inflammation in CRS; however, their relationship with clinical disease characteristics has yet to be investigated. The aim of this study was to identify ILC2s in sinus mucosa in patients with CRS and controls and compare ILC2s across characteristics of disease. A cross-sectional study of patients with CRS undergoing endoscopic sinus surgery was conducted. Sinus mucosal biopsies were obtained during surgery and control tissue from patients undergoing pituitary tumour resection through transphenoidal approach. ILC2s were identified as CD45(+) Lin(-) CD127(+) CD4(-) CD8(-) CRTH2(CD294)(+) CD161(+) cells in single cell suspensions through flow cytometry. ILC2 frequencies, measured as a percentage of CD45(+) cells, were compared across CRS phenotype, endotype, inflammatory CRS subtype and other disease characteristics including blood eosinophils, serum IgE, asthma status and nasal symptom score. 35 patients (40% female, age 48 ± 17 years) including 13 with eosinophilic CRS (eCRS), 13 with non-eCRS and 9 controls were recruited. ILC2 frequencies were associated with the presence of nasal polyps (P = 0.002) as well as high tissue eosinophilia (P = 0.004) and eosinophil-dominant CRS (P = 0.001) (Mann-Whitney U). They were also associated with increased blood eosinophilia (P = 0.005). There were no significant associations found between ILC2s and serum total IgE and allergic disease. In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (P = 0.03). ILC2s were also correlated with worsening nasal symptom score in CRS (P = 0.04). Solution: 1 Reason: There is a line in the passage which say 'The aim of this study was...' which suggests that it is talking about a specific aim. Hence, the output should be 1 as this passage has a definite aim. Now, solve this instance: To evaluate the superiority of transcutaneous oxygen pressure (TcPO2) before, during and after peripheral transluminal angioplasty (PTA) in comparison with ankle brachial index (ABI) in patients with diabetes.', '40 consecutive patients with diabetes treated by PTA where included. This study shows results before, during and after PTA and their progression for 8 weeks.', 'The TcPO2 increased from 28.11\u2009±\u20098.1 to 48.03\u2009±\u20098.4\u2009mmHg, 8 weeks after PTA (p\u2009<\u20090.001). The ABI increased from 0.48\u2009±\u20090.38 to 0.77\u2009±\u20090.39 after PTA (p\u2009<\u20090.001). After PTA, the stenosis of the vessel decreased from 58.33\u2009±\u200920.07% to 21.87\u2009±\u200913.57% (p\u2009<\u20090.001). TcPO2 was determined in all the patients, but ABI could not be determined in all patients. Furthermore, we determined patients with "false negatives" with an improvement in ABI and "false positives" in 12.5% of patients. Additionally, in this study, we monitored TcPO2 while performing PTA, revealing variations in each phase of the radiological procedure. Student:
1
2
NIv2
task848_pubmedqa_classification
fs_opt
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Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement. Q: First, he gets in the turtle position and then he pauses to let go of it. A: This video shows viewers how to do a turtle freeze to an elbow freeze. **** Q: The young girl runs after the ball and runs to make the bow. A: The young woman wearing blue shorts and a t - shirt runs and kicks the ball. **** Q: Someone and someone step out of the sitting room and stop a dark - haired steward in the hallway. A:
Someone, someone, and others follow running rats down a hallway. ****
4
NIv2
task455_swag_context_generation
fs_opt
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Teacher: Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link]. Teacher: Now, understand the problem? If you are still confused, see the following example: At least Raheem Morris finally has the name of the Bucs' starting quarterback in the back of his mind. He wants to make sure he made the decision with his head and not just his heart. That's why Morris declined to name his choice between Byron Leftwich and Luke McCown on Friday until after one last consultation with his coaching staff. After that Morris said he would inform the owners then his team before making the eagerly awaited announcement. Players were off Friday so an announcement could come this morning. "We'll have a decision here in the near future " Morris said. "I think we've got to go with who we think gives us the best chance to win. Solution: Raheem Morris Reason: Here the main entity is Raheem Morris since the main topic of the document is about him starting as quarterback. Now, solve this instance: DUBLIN (Reuters) - Irish student Ibrahim Halawa was greeted by cheering crowds at Dublin Airport on Tuesday as he arrived home following his acquittal last month in a four-year mass trial. Irish citizen Ibrahim Halawa arrives at Dublin Airport in Ireland October 24 2017. REUTERS/Clodagh Kilcoyne Halawa who was born and raised in Dublin and is a son of the most senior Muslim cleric in Ireland was 17 when he was arrested along with hundreds of others in 2013 as part of a crackdown on protests in Egypt. The defendants had all faced the death penalty and though none received it hundreds were given hefty jail sentences. Halawa ’s sisters were released shortly after their arrests. Halawa has said he was regularly tortured during his period in detention. The Egyptian authorities have repeatedly denied allegations of abuses from rights groups. Student:
Halawa Ibrahim Halawa
2
NIv2
task419_persent_answer_generation
fs_opt
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Given the task definition, example input & output, solve the new input case. Given a question, generate a paraphrase of that question wihout changing the meaning of it. Your answer should reword the given sentence, but not add information to it or remove information from it. The answer to your question should be the same as the answer to the original question. Example: Question: what places in africa do people speak french? Output: where in africa do people speak french? The generated question means the same as the input question and the answer is the same, so this is a good answer. New input case for you: Question: where in germany was the composer ludwig van beethoven born? Output:
where was ludwig van beethoven born?
1
NIv2
task442_com_qa_paraphrase_question_generation
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 sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is. In 1942, the government erected tomb - around, including a loft Peeir Bally security cover was made ready Output:
सन् 1942 में सरकार ने मकबरे के इर्द्-गिर्द एक मचान सहित पैड़ बल्ली का सुरक्षा कवच तैयार कराया था।
1
NIv2
task425_hindienglish_corpora_en_hi_translation
zs_opt
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Detailed Instructions: In this task, you need to answer basic science questions. For each question, several terms are intentionally masked with ***. This masking can cover very few or many of the question words. Clearly, if masked terms are important, the modified question will be impossible to answer. Please indicate the correct answer with one of the following responses: "A", "B", "C", "D" or "E". While "A"-"D" correspond to the answer options provided in the input, "E" represents "I don't know" for questions that do not provide enough information. Respond via "E" if the question is not answerable. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D', 'E'. See one example below: Problem: Question: *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** ***. (A) dissolving (B) deposition (C) weathering (D) erosion. Solution: E. Explanation: All the words are dropped, so the correct answer should be 'E' that stands for "I don't know". Problem: Question: How does the appearance of a constellation change during the night? (A) Its shape appears to become longer. (B) Its position appears to shift relative to the horizon. (C) Its brightest stars begin to appear orange. (D) Its distance to the North Star decreases. Solution:
B.
4
NIv2
task043_essential_terms_answering_incomplete_questions
fs_opt
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Instructions: In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity. Input: 1 head cabbage, 1 green pepper, chopped, 1 medium onion, chopped, 1/2 c. salad oil, 1 c. sugar, 1 tsp. celery seed, 3/4 c. vinegar, 1 1/2 tsp. salt Output:
cabbage, green pepper, onion, salad oil, sugar, celery, vinegar, salt
3
NIv2
task570_recipe_nlg_ner_generation
zs_opt
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Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English. Input: どうやってそれを知ることができるのか ? Output:
How would we know it?
2
NIv2
task1222_ted_translation_ja_en
zs_opt
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Instructions: Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question. Input: Question: The term “vapor” refers to the gas phase when it exists at a temperature below what? Answer: boiling temperature Output:
for low temperatures, where the phase can change from a gas to a liquid. The term “vapor” refers to the gas phase when it exists at a temperature below the boiling temperature.
3
NIv2
task593_sciq_explanation_generation
zs_opt
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Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context [Q]: Two teams play a game of indoor soccer. Players from the white team [A]: are running on the beach. [Q]: A man is standing outside in front of two machines placed on the concrete. He [A]: kisses a little tanned man in baggy sleeve denim shorts. [Q]: She lays down and receives the piercing in her cheek, then sits up to wipe her face. When the video is over the closing captions [A]:
appear on the screen briefly.
5
NIv2
task454_swag_incorrect_answer_generation
fs_opt
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Part 1. Definition A text is given in Malayalam. Translate it from the Malayalam language to the Urdu language. The translation must not omit or add information to the original sentence. Part 2. Example اس کے تحت اس عمل کو قابل سزاعمل بنانے کی بھی تجویز ہے ،جس کے تحت تین برسوں تک کی قیداور جرمانہ عائد کیاجائیگا ۔ Answer: ഇതിന് കീഴിൽ, സാധുവായ ശിക്ഷ നൽകാനും നിർദ്ദേശിക്കപ്പെടുന്നു, അതിൽ മൂന്ന് വർഷം തടവുകാരനായിരിക്കും. Explanation: Correct translation for given sentence. Input sentence means 'Under this, it is also suggested to make a valid punishment, under which three years will be prisoner.' which is the same as the output sentence. Part 3. Exercise 5 کروڑ مکانات تعمیر کئے جاچکے ہیں۔ Answer:
5 കോടി വീടുകള്‍ നിര്‍മ്മിച്ചിട്ടുണ്ടെന്ന് അദ്ദേഹം കൂട്ടിച്ചേര്‍ത്തു.
7
NIv2
task1060_pib_translation_urdu_malayalam
fs_opt
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Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Completion A, Completion B, Completion C, or Completion D. Q: Prompt: They tied the race. It Completion A: was ultimately too close to call. Completion B: was a pretty ribbon. Completion C: became untied again quickly. Completion D: was a very tight knot. A:
Completion A
4
NIv2
task156_codah_classification_adversarial
zs_opt
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You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and No. -------- Question: Sentence: Bobby had to be careful that people didn't see him, because the people didn't like mice. Question: Who gave Bobby his favorite blanket? Answer: No. Question: Sentence: He set the pail down next to the water and tipped it over until the frog was swimming in the stream. Question: Why did Kerry get a pail full of water? Answer: Yes. Question: Sentence: The horse ordered fries. Question: Which side was ordered with the fish sandwich? Answer:
Yes.
7
NIv2
task050_multirc_answerability
fs_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 Arabic. Your job is to translate the Arabic sentence into Spanish. لو أني لم أذهب إلى أوهايو ولم ألتقي ب توم ، لكان الطفل لم يولد قط ، وهذا الشيء المروّع لم يحصل. Output:
De no haber ido al estado de Ohio y cruzarme con Tom, ese chico nunca habría existido y esta cosa terrible nunca habría ocurrido.
1
NIv2
task1232_ted_translation_ar_es
zs_opt
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You are given a statement written in Malayalam. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option . Example: Statement: ഈസ്റ്റേൺ കാറ്റിൽ ഈഗ്രറ്റ് (B. i. coromandus) - 1783 - ൽ പീറ്റർ ബൊഡേർട്ട് ആണ് ആദ്യമായി വിവരണം നല്കിയത്. ഏഷ്യയിലെയും ആഫ്രിക്കയിലെയും സങ്കരവർഗ്ഗം ആണ്. തെക്കുകിഴക്കൻ ഏഷ്യയിൽ നിന്ന് <MASK>, ജപ്പാനിലേയ്ക്കും സഞ്ചരിക്കുന്നു. ആസ്ട്രേലിയയിലേയ്ക്കും, ന്യൂസ് ലാന്റിലേയ്ക്കും ഭാഗികമായി ദേശാടനം നടത്തുന്നു. Option A: ആസ്ട്രേലിയയിലെ Option B: പാകിസ്താനിലേയ്ക്കും Option C: കോമോറോസ് Option D: അർജന്റീനയിലും Example solution: പാകിസ്താനിലേയ്ക്കും Example explanation: As the statement mentions fom south east asia , only one option makes sense hence the best options to replace the <MASK> token is പാകിസ്താനിലേയ്ക്കും . Problem: Statement: ജോൺ കാബോട്‌ 1497ൽ ന്യൂഫൗൻഡ്‌ലാന്റ്‌ കണ്ടുപിടിച്ച പര്യവേക്ഷണത്തിനു ധനസഹായം ചെയ്ത ഇംഗ്ലീഷ്‌ വ്യാപാരിയായ റിച്ചാർഡ്‌ അമേരികെയുടെ പേരിൽനിന്നാണു അമേരിക്ക എന്ന പേരുണ്ടായതെന്നാണു മറ്റൊരു സിദ്ധാന്തം. ഇത്‌ കൂടാതെ ഒരു സ്പാനിഷ്‌ കപ്പ്പ്പലോട്ടക്കാരന്റെ വിസിയോഗോതിക്‌ പേരായ 'അമേരിക്‌' എന്ന പേരിൽ നിന്നോ , <MASK> ആദിമനിവാസികളുടെ നഗരമായ 'അമേരിക്‌' എന്ന പേരിൽ നിന്നോ അമേരിക്ക എന്ന പേരുണ്ടായതെന്നും കരുതുന്നവരുണ്ട്‌. Option A: ക്യൂബ Option B: നിക്കരാഗ്വയിലെ Option C: ബെലീസ് Option D: ജമൈക്ക
Solution: നിക്കരാഗ്വയിലെ
5
NIv2
task949_wiki_cloze_ml_multiple_choice_question_answering
fs_opt
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In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male. Ex Input: Sentence: The sheriff told the auditor to leave right now as she is investigating the house. Profession: sheriff Ex Output: Female Ex Input: Sentence: The developer could not understand the accountant because he slurred his speech. Profession: accountant Ex Output: Male Ex Input: Sentence: The baker liked the construction worker and tried to sell her bread at a discount. Profession: construction worker Ex Output:
Female
1
NIv2
task341_winomt_classification_gender_anti
fs_opt
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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. Input: Consider Input: What is the form of government of the country that created the Diamant rocket ? Output: unitary semi-presidential republic Input: Consider Input: Which person had a will that created the prize won by someone associated with Reed McNeil Izatt ? Output: Alfred Nobel Input: Consider Input: What is the name of the cathedral who once had an Archbishop that may have been from Bologna ?
Output: Piazza del Duomo
2
NIv2
task344_hybridqa_answer_generation
fs_opt
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In this task, you are given a question. You have to answer the question based on your information. [Q]: the World's Most Dangerous Party featured this American singer and founder of the Frank Sinatra School of the Arts who was born in what year [A]: 1926 [Q]: What is the date that the series who was presented by an Italian celebrity chef and media personality aired? [A]: 13 September 2013 [Q]: In what year was the second place winner of the 2015 Monaco GP2 Series round born? [A]:
1991
5
NIv2
task1293_kilt_tasks_hotpotqa_question_answering
fs_opt
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In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" and "stern") which express contrasting attributes about the two persons. The answer to the first and the second sentence must be PersonX and PersonY, respectively. PersonX and PersonY should not be equally likely to fill the blank. For each sentence, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your sentences. Avoid repeating the same style or phrase in twin sentences e.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that PersonX and PersonY have the same gender. In each sentence, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY. One example: Context word: upset. Solution is here: Sentence 1: PersonX yelled at PersonY because _ was so upset about the news. Sentence 2: PersonX comforted at PersonY because _ was so upset about the news. Explanation: As expected, two sentences contain mentions of PersonX and PersonY and they're quite similar. Their difference is in terms of trigger words ("yelled" and "comforted"), whcih result in them having different answers. As required by the instructions, the answer to sentence 1 and sentence 2 are PersonX and PersonY, respectively. Now, solve this: Context Word: trained. Solution:
Sentence 1: PersonX's dog is being trained by PersonY to behave better, so _ is very appreciative of the training. Sentence 2: PersonX's dog is being trained by PersonY to behave better, so _ is very diligent at the training.
6
NIv2
task030_winogrande_full_person
fs_opt
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In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time. Let me give you an example: A herd of sheep standing together grazing in a pasture. The answer to this example can be: English Here is why: Input sentence is in English language. OK. solve this: A small boy next to a table upon which sits a birthday cake shaped like a racecar. Answer:
English
8
NIv2
task441_eng_guj_parallel_corpus_gu-en_language_identification
fs_opt
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Teacher:This task is about translating a given French language sentence to English. Teacher: Now, understand the problem? Solve this instance: Dieu merci, comment voulez-vous bien! Student:
Thank God, how do you good!
6
NIv2
task1690_qed_amara_translation
zs_opt
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Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively. Input: Person1: how are you doing ? Person2: I'm ok . I wish I could say the same for my friend . Person1: what happened to him ? Person2: he was arrested by the police for drinking and driving . Person1: was it his first offence ? Person2: unfortunately not . He was charged with a DUI when he was in university . Person1: what happened to him then ? Person2: not much ; it was a minor offence back then . He got away with a fine of $ 500 . Person1: did they take his license away ? Person2: no , they were really easy on him . The problem is that that was a long time ago . They are much tougher on crime now . Person1: what do you think will happen to him ? Person2: well , he'll definitely lose his license , pay a fine , and maybe even spend some time in jail . Person1: that doesn't sound too promising . Does he have a defence lawyer ? Person2: not yet . If we can't find a lawyer for him , then the state will appoint him with one . Person1: my sister is a lawyer . I can ask her if she can help him . Person2: that'd be great ! I know he'd appreciate your help . Output:
0
3
NIv2
task1536_daily_dialog_happiness_classification
zs_opt
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Given scientific fact as input, generate the question from this fact such that it can be answered from the input. Sodium-potassium pumps help nerve cells establish a voltage across their plasma membranes.
Sodium-potassium pumps help nerve cells establish a voltage across their what?
0
NIv2
task1552_scitail_question_generation
zs_opt
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Teacher: In this task, you are given a context sentence containing a blank (_). You are expected to fill the blank with one word to make the sentence convey a cultural stereotype. A stereotype is an over-generalized belief about a particular group of people. Your answer must not contain more than one word. Teacher: Now, understand the problem? If you are still confused, see the following example: Context: Every commander tends to be _. Solution: controlling Reason: Commanders are controlling is an existing and valid stereotype. Now, solve this instance: Context: More people should help the _ Ghanaian people. Student:
poor
2
NIv2
task277_stereoset_sentence_generation_stereotype
fs_opt
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Instructions: Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise Input: An unnamed third party does receive your contact information for targeted advertising. You can opt in for data collection. Output:
Contact
3
NIv2
task684_online_privacy_policy_text_information_type_generation
zs_opt
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TASK DEFINITION: In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian. PROBLEM: And I will turn away from you (all) and from those whom ye invoke besides Allah: I will call on my Lord: perhaps, by my prayer to my Lord, I shall be not unblest. SOLUTION: و من از شما و معبودانی که به جای خدا می‌خوانید، کناره می‌گیرم و پروردگارم را می‌خوانم، امید است در خواندن پروردگارم [از اجابت او] محروم و بی بهره نباشم. PROBLEM: Noah said: "O my Lord! I do seek refuge with Thee, lest I ask Thee for that of which I have no knowledge. And unless thou forgive me and have Mercy on me, I should indeed be lost!" SOLUTION: نوح گفت: پروردگارا! من از اینکه چیزی را که به آن علم ندارم از تو بخواهم به تو پناه می‌برم و اگر مرا نیامرزی و بر من رحم نکنی از زیانکاران خواهم بود. PROBLEM: Those who witness no falsehood, and, if they pass by futility, they pass by it with honourable (avoidance); SOLUTION:
و آنان که در مجلس غنا و دروغ پردازی و امور باطل حاضر نمی‌شوند، و هنگامی که بر گفتار و کردار لغو می‌گذرند، با بزرگواری و متانت می‌گذرند،
8
NIv2
task656_quran_en_fa_translation
fs_opt
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Given the task definition and input, reply with output. The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence. The conversation with Nichelle was serious.
sadness
5
NIv2
task1338_peixian_equity_evaluation_corpus_sentiment_classifier
zs_opt
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Given a sentence, generate a new 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. -------- Question: The effect of traveling warm is your bloodstream temperature will go up . Answer: The way of getting warm is your body temperature will go up . Question: You would learn a language because you want to correspond with a family. Answer: You would help a mission because you want to correspond with a buddy . Question: You would join the army because you want to continue your country . Answer:
You would join the army because you order to work your country .
7
NIv2
task413_mickey_en_sentence_perturbation_generation
fs_opt
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You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action. PersonX keeps ___ in mind Solution: to remember something Why? this is a good example because this is likely why PersonX would keep something in mind. New input: PersonX looks ___ like PersonY Solution:
to make them laugh
0
NIv2
task1596_event2mind_text_generation_2
fs_opt
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In this task, you are given a sentence and a question, you would be asked to create the answer which is contained in the sentence provided. Example: Sentence: Having white fur trait would a cat most likely inherit from its parents. Question: Which trait would a cat most likely inherit from its parents? Example solution: having white fur Example explanation: The given output is correct as the answer provided is from the scientific fact stated Problem: Sentence: Coastline would you find most pollution of ocean water. Question: Where would you find most pollution of ocean water?
Solution: coastline
5
NIv2
task1555_scitail_answer_generation
fs_opt
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Detailed Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios. Note that there are distractor sentences in each story that are unrelated to the question and are designed to confuse the reader. See one example below: Problem: Isabella entered the hall. Olivia entered the hall. Phone rang. The apple is in the blue_treasure_chest. Olivia exited the hall. Isabella moved the apple to the green_basket. Where does Isabella think that Olivia searches for the apple? Solution: blue_treasure_chest Explanation: Since Olivia was no longer in the hall, she last remembers the apple being in the blue_treasure_chest even though Isabella moved it to the green_basket. Since Isabella was in the hall the entire time, she knows where Olivia will look for it. Problem: Logan entered the garden. Avery entered the garden. The persimmon is in the red_pantry. Logan moved the persimmon to the green_box. Where does Logan think that Avery searches for the persimmon? Solution:
green_box
4
NIv2
task152_tomqa_find_location_easy_noise
fs_opt
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You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World. 2019 Election update: Buhari borí; ó di ààrẹ Nàìjíríà tuntun Solution: Politics Why? The headline talks about the new president of Nigeria. So, it belongs to Politics category. New input: NIgeria 2019 Elections: Clinton ní kí wọn má fojú òṣèlú wo àbẹ̀wò òun Solution:
Politics
0
NIv2
task612_yorubabbc_classification
fs_opt
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Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). 1 In short, a "Yes, and" is a dialogue exchange in which a speaker responds by adding new information on top of the information/setting that was constructed by another speaker. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange, although it could be the case if it agrees with the description above. There are many ways in which a response could implicitly/explicitly agree to the prompt without specifically saying 'yes, and...'. Example: I just want to say if this does not work out I promise to to personally show up to each of your homes and apologize for my life not working out the way that it should. Example solution: You know what, come tell us at the community pool. Example explanation: This is a good response. Because it accepts in indirect way the input sentence and supports it. Problem: Of course your head hurts, Mr. Disney. You've been hit in the head with a brick several thousand times over the years.
Solution: It's like my head's a brick magnet.
5
NIv2
task360_spolin_yesand_response_generation
fs_opt
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Teacher:Given a sentence, generate a new 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. Teacher: Now, understand the problem? Solve this instance: A line can win a tackle . Student:
A horse can kiss a carriage .
6
NIv2
task413_mickey_en_sentence_perturbation_generation
zs_opt
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In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer". Thanks for your kind service. customer To proceed further, can I have your name please? agent Gregory Green is my name.
customer
0
NIv2
task575_air_dialogue_classification
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 sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language. Второ, бихме искали средства на Европейския съюз да се предоставят безвъзмездно само ако градовете могат да представят планове за устойчива мобилност. Output:
Secondly, we only want to grant EU money if cities can present a sustainable mobility plan.
1
NIv2
task271_europarl_translation
zs_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're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences in order, such as '34' or '25'. The first digit refers to the sentence which should come first in the story. Title: Carl's Cork Incident. Sentence 1: Carl celebrated by opening his favorite wine bottle. Sentence 2: He got a corkscrew to open the bottle. Sentence 3: He had a bag of ice on it and drank wine for the rest of the day. Sentence 4: Carl had a black eye and needed ice for it. Sentence 5: He opened it but the cork flew into his eye. Output:
35
1
NIv2
task218_rocstories_swap_order_answer_generation
zs_opt
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Detailed Instructions: You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown". See one example below: Problem: Event:PersonX treats PersonY's ___ well. Intent: 1) to leave a good impression over person y by doing everything perfectly well Solution: Positive Explanation: In the input PersonX treats PersonY's in a good way. He fells calm and pleased by the work he has done. This refers to a "Positive" reaction. Problem: Event:PersonX looks amazing. Intent: 1) to not show emotion. 2) to remain calm. Solution:
Positive
4
NIv2
task923_event2mind_classifier
fs_opt
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instruction: In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5. question: Sentence: 'a giraffe comes close to a visitor in its enclosure'. Remove all words of length '1' in the given sentence. answer: giraffe comes close to visitor in its enclosure question: Sentence: 'a young man taking a swing at a baseball'. Remove all words of length '3' in the given sentence. answer: a young taking a swing at a baseball question: Sentence: 'a picture of the ocean with a man being pulled by a kite'. Remove all words of length '5' in the given sentence. answer:
a picture of the with a man pulled by a kite
9
NIv2
task377_remove_words_of_given_length
fs_opt
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Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A Input: 6, ['2261', '7757', 'q', 'F', 'a', 'x', '4851', 'v', '9895', 'T', '4019', 'e', '1707', 't'] Output:
2261, 7757, q, F, a, x
3
NIv2
task063_first_i_elements
zs_opt
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In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the blank with a question, it should have an answer from the agent in the given dialogue. Fill the gap marked with underline. [Q]: customer: Hello. agent: Hello. How can I assist you? customer: I am willing to change my reservation as I have done my reservation last week with wrong airport codes. Can you help me with that? agent: Sure, can I know your name please? customer: Sure, my name is Stephanie Phillips. __ customer: Oh! It might not booked properly at the time of booking due to some technical issue with my server. Anyways thank you for the information. agent: Thank you for approaching us. [A]: agent: Sorry, there is no reservation found on your name. [Q]: customer: Hello. agent: Hello, how may I help you today? customer: Can you help me to book a flight ticket from EWR to MCO? agent: Sure, could you please mention with your dates of journey? customer: My travel dates are 05 to 07 of Mar. agent: Ok, may I know your name please? customer: I am Margaret Perez. agent: Are you looking for any other requirements please? customer: I need a connecting flight. agent: Ok, please wait for a mean while. customer: Sure. agent: I found a connecting flight of fare 100 with the Southwest airline, shall I book it? customer: Please proceed to booking. __ customer: Thank you. agent: You are welcome, have a nice day. [A]: agent: Ok, your booking is done with the flight number 1017. [Q]: customer: Hello. agent: Hello, How can I help you? customer: Can you please help me in booking a flight ticket from PHX to SFO? agent: Sure, May I know your travelling dates? customer: I would like to fly on Aug 30 and return on Sept 01. agent: Do you have any connection limit? customer: I need a single connection. agent: Are there any other preferences? customer: I would like to prefer an economy class. agent: May I know your name? customer: Myself Jeffrey King. agent: You have a connecting flight 1001 in AA airlines and price 100 in economy class, Shall I proceed? __ agent: Your ticket has been processed and it will be send to your Email-Id shortly. customer: Thank you. agent: Thank you. [A]:
customer: You can proceed to booking.
5
NIv2
task574_air_dialogue_sentence_generation
fs_opt
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In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'first' value then sort them by their 'second' key. Negative numbers should come before positive numbers. Ex Input: [{'first': 98, 'second': 90}, {'first': 7, 'second': -30}] Ex Output: [{'first': 7, 'second': -30}, {'first': 98, 'second': 90}] Ex Input: [{'first': 19, 'second': -27}, {'first': 3, 'second': -6}, {'first': 13, 'second': -68}] Ex Output: [{'first': 3, 'second': -6}, {'first': 13, 'second': -68}, {'first': 19, 'second': -27}] Ex Input: [{'first': -17, 'second': 38}, {'first': -35, 'second': -78}, {'first': 16, 'second': -27}, {'first': 24, 'second': -44}, {'first': -79, 'second': 12}, {'first': 86, 'second': 8}, {'first': 36, 'second': -48}, {'first': 91, 'second': -90}, {'first': -68, 'second': -41}] Ex Output:
[{'first': -79, 'second': 12}, {'first': -68, 'second': -41}, {'first': -35, 'second': -78}, {'first': -17, 'second': 38}, {'first': 16, 'second': -27}, {'first': 24, 'second': -44}, {'first': 36, 'second': -48}, {'first': 86, 'second': 8}, {'first': 91, 'second': -90}]
1
NIv2
task123_conala_sort_dictionary
fs_opt
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Q: In this task you will be given a list of strings and you need to concatenate them. ['A', 'second', 'n', 'scorched', 'a'] A:
Asecondnscorcheda
7
NIv2
task079_conala_concat_strings
zs_opt
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Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is. [EX Q]: លក្ខខណ្ឌមួយត្រូវបានពន្យាពីការហោះហើរនិងការផ្តល់ឲគ្រប់គ្រាន់នូវតំបន់ សុវត្តិភាពផ្លូវយន្តហោះចុងបញ្ចប់​​ (អអ៊ីអេសអេ)។ [EX A]: 条件の1つは、滑走路の延長と、滑走路端安全領域(RESA)の不足分を満たすことだった。 [EX Q]: គេបានដកស្រង់យកសំដីបារីណេលសិន អ្នកដឹកនំាស្វ័តឌ្រន និងអអែហហ្វអេ (ផ្សាយក្នុងពត៌មានប៊ីប៊ីស៊ី)ថា "វិធីដែលល្អបំផុតក្នុងការពណ៌នាព្រឹត្តិការណ័នេះគឺវាជាព្រឹត្តិការណ៍ មិនធម្មតាមួយ"។ [EX A]: 英空軍の戦隊のリーダー、バリー・ニルソンは「それは普通ではないですし、おそらくそのことを描写するにはそう言うのが最も良いでしょう」と述べた、とBBCニュースにより伝えられた。 [EX Q]: មនុស្សមួយចំនួនក្នុងចំនោមនេះត្រូវបានបញ្ជូនទៅមន្ទីរពេទ្យសំរាប់ការព្យាបាលបន្ទាប់ពីទទួលរងរបួស។ [EX A]:
うち数人は負傷の治療のため、その後病院へ搬送された。
6
NIv2
task1122_alt_khm_ja_translation
fs_opt
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Part 1. Definition Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage. Part 2. Example Context: Chronic rhinosinusitis (CRS) is a heterogeneous disease with an uncertain pathogenesis. Group 2 innate lymphoid cells (ILC2s) represent a recently discovered cell population which has been implicated in driving Th2 inflammation in CRS; however, their relationship with clinical disease characteristics has yet to be investigated. The aim of this study was to identify ILC2s in sinus mucosa in patients with CRS and controls and compare ILC2s across characteristics of disease. A cross-sectional study of patients with CRS undergoing endoscopic sinus surgery was conducted. Sinus mucosal biopsies were obtained during surgery and control tissue from patients undergoing pituitary tumour resection through transphenoidal approach. ILC2s were identified as CD45(+) Lin(-) CD127(+) CD4(-) CD8(-) CRTH2(CD294)(+) CD161(+) cells in single cell suspensions through flow cytometry. ILC2 frequencies, measured as a percentage of CD45(+) cells, were compared across CRS phenotype, endotype, inflammatory CRS subtype and other disease characteristics including blood eosinophils, serum IgE, asthma status and nasal symptom score. 35 patients (40% female, age 48 ± 17 years) including 13 with eosinophilic CRS (eCRS), 13 with non-eCRS and 9 controls were recruited. ILC2 frequencies were associated with the presence of nasal polyps (P = 0.002) as well as high tissue eosinophilia (P = 0.004) and eosinophil-dominant CRS (P = 0.001) (Mann-Whitney U). They were also associated with increased blood eosinophilia (P = 0.005). There were no significant associations found between ILC2s and serum total IgE and allergic disease. In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (P = 0.03). ILC2s were also correlated with worsening nasal symptom score in CRS (P = 0.04). Answer: As ILC2s are elevated in patients with CRSwNP, they may drive nasal polyp formation in CRS. ILC2s are also linked with high tissue and blood eosinophilia and have a potential role in the activation and survival of eosinophils during the Th2 immune response. The association of innate lymphoid cells in CRS provides insights into its pathogenesis. Answer: Are group 2 innate lymphoid cells ( ILC2s ) increased in chronic rhinosinusitis with nasal polyps or eosinophilia? Explanation: The question is based on the following sentences from the two passages (i) Group 2 innate lymphoid cells (ILC2s) {ii) In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (iii) As ILC2s are elevated in patients with CRSwNP, they may drive nasal polyp formation in CRS. and (iv) ILC2s are also linked with high tissue and blood eosinophilia. Part 3. Exercise Context: Perturbation of the endoplasmic reticulum (ER) homeostasis has emerged as one of the prominent features of obesity and diabetes. This occurs when the adaptive unfolded protein response (UPR) fails to restore ER function in key metabolic tissues. We previously reported increased inflammation and impaired heat shock response (HSR) in obese human subjects that were restored by physical exercise. Here, we investigated the status of ER stress chaperone; glucose-regulated protein 78 (GRP78) and its downstream UPR pathways in human obese, and their modulation by a supervised 3-month physical exercise.', "Subcutaneous adipose tissue (SAT) and blood samples were collected from non-diabetic adult human lean (n=40) and obese (n=40, at baseline and after 3months of physical exercise). Transcriptomic profiling was used as a primary screen to identify differentially expressed genes and it was carried out on SAT samples using the UPR RT(2) Profiler PCR Array. Conventional RT-PCR, immunohistochemistry, immunofluorescence, Western blot and ELISA were used to validate the transcriptomic data. Correlation analyses with the physical, clinical and biochemical outcomes were performed using Pearson's rank correlation coefficient.", 'Levels of GRP78 and its three downstream UPR arms; activating transcription factor-6 (ATF6), inositol-requiring enzyme-1α (IRE1α) and protein kinase RNA-like endoplasmic reticulum kinase (PERK) were increased in obese subjects. More interestingly, higher levels of circulating GRP78 protein were found in obese compared to lean subjects which correlated negatively with maximum oxygen uptake (VO2 Max) but positively with high-sensitivity C-reactive protein (hsCRP) and obesity indicators such as BMI, percentage body fat (PBF) and waist circumference. GRP78 increased secretion in obese was further confirmed in vitro using 3T3-L1 preadipocyte cells under ER stress. Finally, we showed that physical exercise significantly attenuated the expression and release of GRP78 with a concomitant reduction in the phosphorylation of IRE1α and eukaryotic initiation factor-2α (eIF2α). Answer: Our results suggest that physical exercise alleviates ER stress in human obese through attenuation of GRP78 signaling network. Answer:
Does physical exercise alleviate ER stress in obese humans through reduction in the expression and release of GRP78 chaperone?
7
NIv2
task845_pubmedqa_question_generation
fs_opt
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You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian. Q: זאת תוצאה של פעילות בריבוי-משימות. [צחוק] לנסות לבשל, לענות לטלפון, לשלוח מסרון, ואולי גם להעלות כמה תמונות של המנגל המרשים הזה. A: Questo è il risultato della mia attività multitasking. (Risate) Cercare di cucinare, rispondere al telefono, scrivere SMS, e forse caricare qualche fotografia di questa meravigliosa grigliata. **** Q: והנקודה שלי, אם מדברים על אומנות על-חומרית, מוסיקה היא האמנות הגבוהה ביותר, מפני שהיא הכי על-חומרית. A: E secondo me, se parli di arte immateriale, la musica è la più alta — certamente la più alta di tutte, perché è la più immateriale. **** Q: ודיברנו על נחשים. A:
Parlammo di serpenti. ****
4
NIv2
task1111_ted_translation_he_it
fs_opt
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Detailed Instructions: 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. Q: select the rows whose ties record is equal to 1 . the number of such rows is 3 . A:
eq { count { filter_eq { all_rows ; ties ; 1 } } ; 3 }
9
NIv2
task210_logic2text_structured_text_generation
zs_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 sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun). 「何故君はこんなことをした?何がそんなにおかしいんだ?ばかげている」 Output:
"Why would you do that? What's so funny about that? It's ridiculous."
1
NIv2
task436_alt_ja_en_translation
zs_opt
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In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct. One example is below. Q: Rope and its Usage A: Intambo nomsebenzi ewenzayo. Rationale: 'Intambo' means rope, 'nomsebenzi ewenzayo' roughly translates to 'the work it does', which is a native way of phrasing it. Q: It is installed at pre-determined strategic locations to provide consistent communications. A:
Sifakwe kwindawo eyaziwe kuqala ukunika uthungelwano olungaguquguqukiyo.
9
NIv2
task872_opus_xhosanavy_translation_eng_xhosa
fs_opt
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Teacher:In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages ​​at the same time. Teacher: Now, understand the problem? Solve this instance: Over the past eight years, European Community support for mine action has exceeded EUR 180 million. Student:
English
6
NIv2
task533_europarl_es-en_language_identification
zs_opt
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Detailed Instructions: Given a scientific passage and an answer, generate a question for the given answer. Q: Passage: Metallic Iron"). Instead, the rust continually flakes off to expose a fresh metal surface vulnerable to reaction with oxygen and water. Because both oxygen and water are required for rust to form, an iron nail immersed in. Answer: water A:
Oxygen and what are required for rust to form?
9
NIv2
task594_sciq_question_generation
zs_opt
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You will be given a definition of a task first, then some input of the task. Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. An example of a chain is: "pesticides cause pollution" (fact1) + "pollution can harm animals" (fact2) → "pesticides can harm animals" (conclusion fact). Parts of the concluding fact overlap with the first and the second fact. To construct such a concluding fact, a useful way is to borrow the subject from one fact and the ending conclusions from another fact. Fact 1: Ethologists usually study how animals behave in their natural environment. Fact 2: Students take a field trip to an ecosystem to observe the homes of animals in natural habitats. Output:
Ethologists usually study how animals behave in their homes in an ecosystem.
1
NIv2
task038_qasc_combined_fact
zs_opt
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TASK DEFINITION: In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay special attention to the marked number, think about what (unwritten) information the marked number holds inside, choose the most adequate word(s) from the optional answers. If none of them seems right to you, there's also an option for other. If your answer is "REFERENCE", also write the reference entity, otherwise write the implicit option name. Options to choose from are: REFERENCE: Some object which is being mentioned in the text before or after the target number. The reference answer has a higher priority than any other. If both Reference and another answer are possible, prioritize the Reference. YEAR: Describing a calendric year AGE: Describing someone's age CURRENCY: Reference to some monetary value e.g dollar, euro etc. PEOPLE: Describing a single/plural persons TIME: Describing a time of the day. Usually you can add the word o'clock after those numbers. OTHER: Some other option, which isn't listed here. PROBLEM: Jim Bronson: What 's your name ? Temple Brooks: I do n't have _ one _ ! Jim Bronson: Well everyone I have ever know had a name , that 's really weird . My name is Jim incase your interested . Temple Brooks: Well I 'm not ! SOLUTION: REFERENCE name PROBLEM: Tom Bradley: I dare say you could go around this city and you would n't find more than a dozen people who were aware there was such a charge of conspiracy . Morley Safer - Correspondent: The conspiracy did n't hit Los Angeles until the end of World War 2 , a month after the new owners took over the transit company . Two hundred thirty - seven new buses arrived ; this followed a year in which the electric lines had made a million and a half dollars and carried over 200 million passengers . By the end of GM 's motorization campaign in _ 1955 _ , almost 90% of the streetcars were gone from from American cities , including Los Angeles . SOLUTION: YEAR PROBLEM: Snowmen: You are not of this world ; meaning Earth . The Doctor: Takes one to snow _ one _ . SOLUTION:
OTHER
8
NIv2
task304_numeric_fused_head_resolution
fs_opt
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Q: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options. (CNN) They are the kind of shoes designed to start a conversation, but not one with the Transportation Security Administration. Over the weekend, a woman went to board her flight at Baltimore-Washington International when the TSA stopped her. The unidentified traveler had a pair of gun-themed shoes and bracelets in one of her carry-on bags, TSA spokesperson Lisa Farbstein said. "We do not permit replica guns or ammunition past checkpoints," Farbstein says. "She was advised that she could put them in a checked bag." The woman returned to the airline counter and tried to get the shoes and bracelets checked, Farbstein said, but it was too late. The traveler returned to the checkpoint "and left the shoes and bracelets with TSA in order to catch her flight."Woman was trying to board at flight at BWI AirportTSA told her the items needed to go in her checked bags Questions:"Items such as this look like real, actual firearms to the _ officers who are staffing the X-ray monitors," and will only cause delays, Farbstein says. (A) Transportation Security Administration (B) Baltimore (C) Washington International (D) Lisa Farbstein (E) Farbstein (F) BWI Airport A:
(A)
7
NIv2
task302_record_classification
zs_opt
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Instructions: In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and should not contain other words. Input: Leo Wyatt: They 're twins and he was gon na marry the wrong _ one _ . Output:
twins
3
NIv2
task401_numeric_fused_head_reference
zs_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. One example: select the row whose attendance record of all rows is 3rd maximum. the competition record of this row is danish superliga 2005-06. Solution is here: eq { hop { nth_argmax { all_rows ; attendance ; 3 } ; competition } ; danish superliga 2005 - 06 } Explanation: Here, the generated command using logical operators correctly selects third maximum from given table rows which is mentioned in natural language interpretation. Now, solve this: select the row whose average ratings record of all rows is maximum . the romaji title record of this row is karei - naru ichizoku . Solution:
eq { hop { argmax { all_rows ; average ratings } ; romaji title } ; karei - naru ichizoku }
6
NIv2
task210_logic2text_structured_text_generation
fs_opt
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Q: Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the third fact. An example of a chain is: "pesticides cause pollution" (given fact) + "pollution can harm animals" (related fact) → "pesticides can harm animals" (connected chain). Avoid creating simple paraphrases of the given fact. While your generated fact should be related to the input fact, they must describe slightly different scientific phenomena. It's okay if your related fact includes some irrelevant information, provided that it has some overlap with the given fact and it contains some words corresponding to the provided topic. Fact: the Himalayas were formed by rock folding. Topic: Himalayas located. A:
It is located in the Himalayas on the borders of Tibet and Burma .
7
NIv2
task037_qasc_generate_related_fact
zs_opt
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This task is about translating a given English language sentence to French. One example: How shall we inscribe intent on all the objects we create, on all the circumstances we create, on all the places we change? Solution is here: Comment devrions nous inscrire l'intention sur tous les objets que nous créons, sur toutes les circonstances que nous créons, sur tous les lieux que nous changeons ? Explanation: This is a good example because the English sentence has been translated correctly to French. Now, solve this: I tell you, it was something so sinister that I was astonished he could do it every day. Solution:
Je vous assure, c'était tellement sinistre que j'ai été étonné qu'il puisse le faire chaque jour.
6
NIv2
task1689_qed_amara_translation
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 an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list. ['m', 'm', 'l', 'v', '1767', '2601', 'z', '417', 'g', '1835', '8007', '485', '8089', '2659', '3783', '1771', 'c', 'l', '839', 'x', '3359', 'g', '6187', '1081', 'd', 'y', '8555', '9601', '6489', 'z', '1201'] Output:
c, d, g, l, m, v, x, y, z
1
NIv2
task636_extract_and_sort_unique_alphabets_in_a_list
zs_opt
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You will be given a definition of a task first, then some input of the task. Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correct answer words must lie within the associated fact. The correct answer can be a word, phrase, or even a sentence. Fact: Animals rely on plants for survival. Question: Animals rely on what for survival? Output:
plants.
1
NIv2
task041_qasc_answer_generation
zs_opt
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Definition: In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively Input: Hypothesis: You should support your friends during trying times. Update: You have the support to give. Output:
strengthener
2
NIv2
task937_defeasible_nli_social_classification
zs_opt
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Part 1. Definition In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character. Part 2. Example gocogccocco Answer: gocog Explanation: The substring 'gocog' is the longest possible substring that is also a palindrome. So this is a good example. Part 3. Exercise mmmgagmggammga Answer:
mgagm
7
NIv2
task850_synthetic_longest_palindrome
fs_opt
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You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi. [EX Q]: I conservatori hanno un base di cinque o un equalizzatore della moralità con cinque canali. [EX A]: در حالیکه محافظه کارها 5 کاناله یا دارای اخلاق پنج وجهی اند. در حالیکه محافظه کارها 5 کاناله یا دارای اخلاق پنج وجهی اند. [EX Q]: Il costo? [EX A]: هزینه اش ؟ [EX Q]: Ricevono segnali da migliaia di altre cellule e calcolano la quantità di emissione elettrica che, al superamento di una certa soglia, verrà trasmessa a migliaia di altre cellule. [EX A]:
آنها از هزاران سلول قبل از خود ورودی دریافت می ‌ کنند و خروجی الکتریکی خود را پردازش می ‌ کنند ، که به همین ترتیب ، اگر داده ‌ های الکتریکی آن از آستانۀ خاصی بگذرند ، به هزاران سلول بعد از خود ارسال می ‌ کنند.
6
NIv2
task1254_ted_translation_it_fa
fs_opt
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Definition: Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No". Input: Japanese: 2000年に、彼のメダルはオーストラリア博物館のスポーツ遺産展示会に出品された。 Thai: ในปี 2000 เหรียญของเขาถูกตั้งโชว์ในนิทรรศการ Our Sporting Heritage ที่จัดขึ้นในอาคารส่วนหนึ่งของพิพิธภัณฑ์ Australia Inn Output:
Yes
2
NIv2
task1129_alt_ja_th_answer_generation
zs_opt
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Part 1. Definition In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable. Part 2. Example Sentence: The cleaner called the guard because she forgot to bring her key. Profession: cleaner Answer: Identifiable Explanation: The cleaner's gender is identifiable because the pronoun "she" is linked to the cleaner. Part 3. Exercise Sentence: The secretary told the carpenter to come back tomorrow because she was super busy today. Profession: carpenter Answer:
Unidentifiable
7
NIv2
task350_winomt_classification_gender_identifiability_pro
fs_opt
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Detailed Instructions: A text is given in Urdu. Translate it from the Urdu language to the Marathi language. The translation must not omit or add information to the original sentence. Problem:انڈین فوڈ فیسٹیول 3 سے 9 ستمبر 2017 تک Solution:
3 ते 9 सप्टेंबर 2017 - भारतीय खाद्य महोत्सव
8
NIv2
task990_pib_translation_urdu_marathi
zs_opt
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Q: In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc. cut can A:
use jigsaw
7
NIv2
task080_piqa_answer_generation
zs_opt
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Instructions: Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question. Input: name something a hollywood leading man needs. Output:
leading woman
3
NIv2
task820_protoqa_answer_generation
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. Context: Buckingham Lake commonly referred to as Buckingham Pond or Rafts Pond is a body of water located in a residential area of Albany New York. It has a surface area of 5 acres (20000 m2) and a mean depth of three feet. The lake is adjacent to Buckingham Lake Park a small recreation area with picnic tables and playground equipment. Three fountains help aerate water during the warmer months while ice-skating often takes place on the lake's frozen surface during the winter. Question: The document can be classified to which topic? Options: 1)MeanOfTransportation, 2)Company, 3)NaturalPlace, 4)Village 3 Context: For his father who also served as a member of the Illinois House of Representatives see Arthur TurnerArt Turner is a Democratic member of the Illinois House of Representatives who serves as a representative for the 9th district. The district he represents includes part of the community areas of the Near West Side the Near North Side and North Lawndale.He is currently assigned to the committees for the Judiciary and Revenue and Finance. He is also the chair of the Sex Offenses Subcommittee. Question: The document can be classified to which topic? Options: 1)Animal, 2)Building, 3)OfficeHolder, 4)Album, 5)Artist 3 Context: The Celier Xenon 2 (also variously referred to by the manufacturer as the Xenon II) is a series of Polish autogyros that was designed by Frenchman Raphael Celier and produced by his company Celier Aviation of Piotrków Trybunalski Poland. The aircraft is supplied as a kit for amateur construction or as a complete ready-to-fly-aircraft. Question: The document can be classified to which topic? Options: 1)NaturalPlace, 2)Village, 3)WrittenWork, 4)MeanOfTransportation
4
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task633_dbpedia_14_answer_generation
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Given the task definition and input, reply with output. Given a sentence in Russian, generate a new Russian 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. Большая собака может столкнуться с несколькими стаканчиками собачьей еды игрушкой.
Большая собака может съесть несколько стаканчиков оставшейся еды за минуту.
5
NIv2
task410_mickey_ru_sentence_perturbation_generation
zs_opt
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TASK DEFINITION: In this task, you need to count the number of times the given letter appears in the given sentence. PROBLEM: Sentence: 'a little boy standing near a couch and a table'. Find frequency of the letter 'i' SOLUTION: 2 PROBLEM: Sentence: 'a white toilet sitting next to a toilet paper roller'. Find frequency of the letter 'o' SOLUTION: 4 PROBLEM: Sentence: 'the are looking at a deep dish pizza with a slice removed'. Find frequency of the letter 'e' SOLUTION:
7
8
NIv2
task113_count_frequency_of_letter
fs_opt
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Detailed Instructions: In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby product, grocery, drugstore, home improvement, pc, shoes, automotive, digital ebook purchase, musical instruments, beauty, book, electronics, lawn and garden, apparel, home, video games, luggage, furniture, personal care appliances. Q: Did not get storage bin and the table was the wrong characters it was suppose to be frozen instaed i got Ariel and belle..it did come early...and can not get a hold of seller to get it fixed u can only email them and then they responded saying they dont answer emails on friday or saturday because they are jewish A:
baby product
9
NIv2
task617_amazonreview_category_text_generation
zs_opt
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You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found directly from the passage. Passage: I work in a busy office . Every day I need to communicate with the people I work with . Sometimes I need to call them and sometimes I need to send them written information . Today I needed to send a fax to a business associate who lives in another state.i had a letter with instructions about a task that they needed to complete . I walked over to the fax machine and put the letter I needed to send into the machine . I typed the phone number . The machine scanned my letter and let me know that my fax had been sent . I went back to doing another task . Soon after that I received a fax from my business associate telling me that they had gotten my fax . Question: what is sent by fax? Option1: instructions Option2: a letter
a letter
0
NIv2
task164_mcscript_question_answering_text
zs_opt
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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 Tamil. Translate it from the Tamil language to the Urdu language. The translation must not omit or add information to the original sentence. جہاں ہر شخص بھائی چارے اور ہم آہنگی سے آپس میں جڑا ہوا ہو Output:
சகோதரத்துவமும், நல்லிணக்கமும் மக்கள் ஒவ்வொருவரையும் இணைப்பதாக அமைய வேண்டும்;
1
NIv2
task1036_pib_translation_urdu_tamil
zs_opt
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Detailed Instructions: You will be given two sentences. One of them is created by paraphrasing the original one, with changes on an aspect, or using synonyms. Your task is to decide what is the difference between two sentences. Types of change are explained below: Tense: The verbs in the sentence are changed in tense. Number: Plural nouns, verbs and pronouns are changed into single ones or the other way around. Voice: If the verbs are in active voice, they're changed to passive or the other way around. Adverb: The paraphrase has one adverb or more than the original sentence. Gender: The paraphrase differs from the original sentence in the gender of the names and pronouns. Synonym: Some words or phrases of the original sentence are replaced with synonym words or phrases. Changes in the names of people are also considered a synonym change. Classify your answers into Tense, Number, Voice, Adverb, Gender, and Synonym. Problem:original sentence: I saw Jim yelling at some guy in a military uniform with a huge red beard . I don't know who he was , but he looked very unhappy . paraphrase: i saw julio yelling at some man in a military uniform with a huge red beard . i don't know who he was , but he looked very unhappy . Solution:
Synonym
8
NIv2
task276_enhanced_wsc_classification
zs_opt
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Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common', 'cvg', 'opera', 'olympics', 'chemistry', 'visual_art', 'conferences', 'sports', 'language', 'travel', 'location', 'award', 'dining', 'martial_arts', 'comic_strips', 'computer', 'user', 'tennis', 'music', 'organization', 'food', 'event', 'transportation', 'fictional_universe', 'measurement_unit', 'meteorology', 'distilled_spirits', 'symbols', 'architecture', 'freebase', 'internet', 'fashion', 'boats', 'cricket', 'film', 'medicine', 'finance', 'comic_books', 'celebrities', 'soccer', 'games', 'time', 'geography', 'interests', 'common', 'base', 'business', 'periodicals', 'royalty', 'education', 'type', 'religion', 'automotive', 'exhibitions'. Q: Ernesto Geisel became President of which South American country in 1974? A:
government
4
NIv2
task900_freebase_qa_category_classification
zs_opt
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Detailed Instructions: Given an object and a part, decide whether the object has that part. For example if you are asked 'gun has barrel?', you need to decide if a gun has a barrel as one of its components or parts, indicating 1 or 0 as your answer respectively. All sentences strictly follow the template 'object has part?.' Q: couch has leather? A:
1
9
NIv2
task1583_bless_meronym_classification
zs_opt
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You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "acceptable", otherwise "unacceptable". One example is below. Q: Our friends won't buy this analysis, let alone the next one we propose. A: acceptable Rationale: The sentence is easy to understand where a person talks about not being convinced of the analysis. So, it's acceptable. Q: John made Mary to cook Korean food. A:
unacceptable
9
NIv2
task616_cola_classification
fs_opt
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The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic. Let me give you an example: Argument: It is more humane to help the person die than to let them suffer excruciating pain<sep>Keypoint: The terminally ill would benefit from assisted suicide The answer to this example can be: False Here is why: The keypoint does not summarize the argument that it is more humane to help the person die than to let them suffer excruciating pain OK. solve this: Topic: We should fight urbanization<sep>Argument: Urbanization will increase available housing which we need.<sep>Keypoint: Urbanization benefits the environment Answer:
False
8
NIv2
task1285_kpa_keypoint_matching
fs_opt
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Given the task definition and input, reply with output. You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your question. Avoid repeating the same style, pattern, or phrases in each question, try to increase diversity by varying sentence structure, blank placement, etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Person X and Person Y have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY. Context Word: crown.
PersonX installed PersonY's dental crown today so _ spent time after answering how to take of it.
5
NIv2
task032_winogrande_question_generation_person
zs_opt
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Given the task definition, example input & output, solve the new input case. In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the question. Note that the answer to the question should be exactly the given answer, and if the answer is none, the answer to the question shouldn't be obtainable from the passage or linked information. Example: Passage: The group was occasionally diverted from strategic missions to carry out air support and interdiction missions. It supported Operation Overlord, the invasion of Normandy by attacking transportation targets, including bridges, along with airfields and strong points in France. On D Day, the squadron and the rest of the 446th Group led the first heavy bomber mission of the day. The 446th aided ground forces at Caen and Saint-Lô during July by hitting bridges, gun batteries, and enemy troops. During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen. It struck lines of communications during the Battle of the Bulge. During Operation Varsity in March 1945, it supplied ground and airborne troops near Wesel. The squadron flew its last combat mission on 25 April 1945 against Salzburg, Austria. The group had flown 273 missions and had lost 58 aircraft during the war, . Link Information: Operation Market Garden was a failed World War II military operation fought in the Netherlands from 17 to 25 September 1944. Answer: from 17 to 25 September 1944 Output: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin? The passage describes the 704th's actions during Operation Market Garden, and the answer specifies when the operation happened. New input case for you: Passage: He was the son of a merchant, Adolf Abraham Eisenberg, and Ester née Spiro. After finishing Sobieski Gymnasium in Kraków he studied medicine at the Jagiellonian University, where he obtained his PhD in medical studies in 1899. He then conducted postgraduate work in Vienna with Richard Paltauf and between 1901 and 1902 served as a research assistant to Odo Bujwid. Subsequently he worked in Paris, at the Pasteur Institute and then in Wrocław (Breslau) under the direction of Richard Pfeiffer. Between 1919 and 1920 he was the head of a Military Hospital in Warsaw. In 1933 he became the director of the National Bacteriology Station in Kraków, a position he held until 1939. Until 1941 he was the head of the Institute of Medical Microbiology in Lwów (L'viv). Link Information: Paris () is the capital and most populous city of France, with an area of 105 km2 and an official estimated population of 2,140,526 residents as of 1 January 2019. Answer: 2,140,526 Output:
What is the population of the city where Filip worked after working with Odo?
1
NIv2
task236_iirc_question_from_passage_answer_generation
fs_opt
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instruction: In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby product, grocery, drugstore, home improvement, pc, shoes, automotive, digital ebook purchase, musical instruments, beauty, book, electronics, lawn and garden, apparel, home, video games, luggage, furniture, personal care appliances. question: When immediately cancelling the order the company had the official cancel info from Amazon and they billed me and sent the item anyway. I immediately sent the item back and 7 days later I'm still waiting for the refund answer: baby product question: This was a replacement for an older version of the same wallet. Unfortunately, the new wallet is not the same quality. Some card slots are loose and some are so tight you need a knife to get your card out. Also, the plastic cover on the ID window is flimsy and loose. I will probably go back to my old one which, even in it’s worn state, is better than the new one. answer: apparel question: Instead of the iPhone 6 wallet case I ordered, I received a completely different case for an LG phone. Obviously this phone case doesn’t even fit. When I tried to contact the seller, I received an email in broken that didn’t make any sense. Now I have the hassle of returning the case. answer:
wireless
9
NIv2
task617_amazonreview_category_text_generation
fs_opt
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In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user. Ex Input: What about towns? Some metro towns in Kansas City are Lee's Summit, Blue Springs, Liberty, Raytown, Gladstone and Grandview. Two largest rivers in Missouri are Mississippi river and Missouri River. No problem! Holy cow! I am petrified of tornadoes, they are too unpredictable. Do you see any other things that seem interesting to you? Ugh that's terrible. Thank you so much for the help today! Ex Output: Some metro towns in Kansas City are Lee's Summit, Blue Springs, Liberty, Raytown, Gladstone and Grandview. Two largest rivers in Missouri are Mississippi river and Missouri River. Ex Input: Before European colonization occurred, Natives referred to the Mlay Peninsula as 'Tanah Melayu', meaning 'Malay Land'. The word 'melayu' in Malay is thought to derive from two Tamil words, 'malai' and 'ur', which mean 'mountain' and 'city, land' respectively. Do you have any information about Etymology, please? You're welcome. Have a great day. cool! Etymology.What does the name Malaysia mean? Hello! I would like to learn about Malaysia, please! Ex Output: Before European colonization occurred, Natives referred to the Mlay Peninsula as 'Tanah Melayu', meaning 'Malay Land'. The word 'melayu' in Malay is thought to derive from two Tamil words, 'malai' and 'ur', which mean 'mountain' and 'city, land' respectively. Ex Input: Hello. I would like some information on Qatar. Qatar seems like a really cool place to visit. Wow, that is interesting. Are there any other facts about the economy of Qatar you can share? The U.S. is a major supplier of equipment for their oil and gas industry and U.S. companies play a big role in gas field development. I do not have that information at this time. Would you like other economic facts? Ex Output:
The U.S. is a major supplier of equipment for their oil and gas industry and U.S. companies play a big role in gas field development.
1
NIv2
task576_curiosity_dialogs_answer_generation
fs_opt
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Part 1. Definition 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 Part 2. Example Who were the builders of the mosque in Herat with fire temples ? Answer: WP VBD DT NNS IN DT NN IN NNP IN NN NNS . Explanation: This is a good example. All of the POS tags are correct. Part 3. Exercise Who is a star of the 2001 film whose song is co-sung by KK ? Answer:
WP VBZ DT NN IN DT CD NN WP$ NN VBZ JJ IN NNP .
7
NIv2
task345_hybridqa_answer_generation
fs_opt
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Detailed Instructions: In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False". Problem:Paragraph: Studies from Eastern European countries proved that porcine reproductive and respiratory syndrome virus Type 1 (PRRSV-1) harbours high genetic diversity and that genetically divergent subtypes 2-4 circulate in this area. In the present study, we compared the pathogenicity of two different PRRSV-1 subtype 2 strains and a strain representing PRRSV-1 subtype 1. Four groups of 8-week-old specific pathogen free pigs were either infected with subtype 2 strain ILI6, subtype 2 strain or BOR59, subtype 1 strain 18794, or mock inoculated. The most pronounced clinical signs were observed in pigs infected with BOR59. Pigs from both subtype 2 strain infected groups exhibited significantly elevated mean body temperatures on DPI 2 compared to the other two groups, the difference remaining significant up to DPI 13 for the BOR59 group, only. The pigs in the latter group also displayed significantly highest levels of early viremia together with the most rapid APP response. Overall, the results indicated that BOR59 strain can be considered a highly pathogenic strain, similarly to subtype 3 strains Lena and SU1-bel, while the virulence of the other subtype 2 strain ILI6 was intermediate between BOR59 and subtype 1 strain. Title: Pathogenicity of three genetically diverse strains of PRRSV Type 1 in specific pathogen free pigs Solution:
False
8
NIv2
task1162_coda19_title_classification
zs_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're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. 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 beginning, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible. Middle: They tried their best. Ending: And they all enjoyed their wonderful, imperfect dinner! Output:
Nora knew her family wanted to help with Christmas dinner.
1
NIv2
task072_abductivenli_answer_generation
zs_opt
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