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Detailed Instructions: In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "against". If there's no causal relationship between the two, answer with "none".
Problem:Process: -Get the ice tray -Remove any ice cubes currently in the tray -Fill the tray with cold water -Ensure the tray is evenly filled to an appropriate level -Open the freezer -Place the tray in the freezer -Close the freezer door -Wait.
Question: What is the effect of more water fills the tray on less ice cubes being made.?
Solution:
|
against
| 8
|
NIv2
|
task1727_wiqa_what_is_the_effect
|
zs_opt
|
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] |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
[Q]: English sentence: I felt alive.
[A]: M chere na ndụ.
[Q]: English sentence: We've developed an all-inclusive guide with information and reviews about the top online casino games, including video slots, roulette, blackjack, and video poker.
[A]: Anyị mepụtara nduzi na-agụnye ihe niile na nyocha banyere top online cha cha egwuregwu, Gụnyere oghere vidio, roulette, blackjack, na poker vidio.
[Q]: English sentence: Moreover, their rebellion resulted in alienation from Jehovah because his "eyes are too pure to look on what is evil."
[A]:
|
O mekwara ka ha na Jehova ghara ịdị ná mma n'ihi na 'anya ya dị nsọ nke ukwuu nke na ọ dịghị ele ihe ọjọọ.'
| 5
|
NIv2
|
task452_opus_paracrawl_en_ig_translation
|
fs_opt
|
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Given a paragraph about movies and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`, and the follow-up question has a prefix `FOLLOWUP_Q:`.
CONTEXT: My guess is that Vinay did not know Anjali before their meeting at the jewelry shop. I infer this from analyzing the character of Vinay. He doesn't appear like someone who will use crooked methods. Also, regarding the sog sequence, I think it was a mere coincidence, intentionally plotted by the director to create mystery. <sep> Q: Does Vinay know Anjali before meeting her at the jewelry shop? A: My guess is that Vinay did not know Anjali before their meeting at the jewelry shop Q: Why do you think that he did not know her? A: I infer this from analyzing the character of Vinay Q: Do yuo think that he was not brazen enough to sek employment knowing the owners daughter was who he was interested in? A: He doesn't appear like someone who will use crooked methods <sep> FOLLOWUP_Q: Is it possible that he knew her but played like he did not?
Yes
CONTEXT: Nothing as such shown in MCU, but according to the Marvel storyline and stuff, Odin used to come to Earth very frequently due his addictions to alcohol and women. He used to brag and spill secrets when drunk, either to men at a bar or to women whilst bedding them, and the news kept on spreading and so on. I will add sources to my answer in an edit as soon as I find time for it. <sep> Q: How would anyone include Thor in the mythology and so Erik know about Thor? A: He used to brag and spill secrets when drunk Q: What did Odin explain that they rescued the earth in the first movie? A: Odin used to come to Earth very frequently due his addictions to alcohol and women Q: Oh, so it seems he had a real problem with alcohol? A: He used to brag and spill secrets when drunk, either to men at a bar or to women whilst bedding them Q: Wow, what sort of secrets would he reveal? A: Nothing as such shown in MCU <sep> FOLLOWUP_Q: What is MCU?
No
CONTEXT: To a strong movie fan, no, it cannot hurt - ever. An alternate (possibly revisionist) version of a movie cannot detract from the original viewing experience, it can only add an additional positive (or negative) experience. In the case of Ridley and Blade Runner, I have every version, and his “Final Cut” is my favorite, and I am pleased-giddy that he was able to get yet another version released. It is my opinion that, given 4+ versions, you have the luxury of choosing the one you enjoy most. You have nothing but upside! Any downside is for pessimists, or people who have undue hatred for capitalist who play their little games – while we are still free to play ours. In the case of his refusal to agree to a Director's Cut of Prometheus – that is cool too. I enjoy the fact that as an artist Ridley Scott wraps his arms fully around the meta concept of additional releases, and indeed incorporates that into the overall art – like Claude Monet's Water Lilies, or Haystacks – as long as HE is making the decisions. (You might argue the opposite for 99% of all other director/studio combos.) <sep> Q: Does Ridley Scott's Director's Cut releases hurt his movies? A: To a strong movie fan, no, it cannot hurt - ever <sep> FOLLOWUP_Q: What was his first director's cut?
|
No
| 0
|
NIv2
|
task1442_doqa_movies_isanswerable
|
fs_opt
|
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] |
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".
Japanese: イラクのバグダッドで火曜日、１４人の遺体が警察に発見された。
Thai: แต่หน่วยFBI ได้ปฏิเสธที่จะเปิดเผยรายละเอียดของการสอบสวน
|
No
| 0
|
NIv2
|
task1129_alt_ja_th_answer_generation
|
zs_opt
|
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] |
Instructions: The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Input: - (Groans) - (zipper unzips)
Output:
|
- ( groans ) - ( zipper unzips )
| 3
|
NIv2
|
task1324_open_subtitles_te_en_translation
|
zs_opt
|
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In this task, you need to Translate Czech text to English.
Ex Input:
Variabilní smerové natácení kol je umožneno pomocí statoru (1) elektromotoru, který je pevne spojen s rámem a pomocí rotoru (2) elektromotoru, jenž je spojen s drážkovaným nábojem (3). Mezi drážkovanou maticí (4) a drážkovaným nábojem (3) je tvarový styk, který je tvoren perem, nebo rovnobokým drážkováním, nebo evolventním drážkováním, ci jinak modifikovanou formou drážkování. Drážkovaná matice (4) má na jedné strane levý a na druhé strane pravý závit, lichobežníkového, metrického nebo jiného tvaru, prípadne je nahrazen kulickovým šroubem. V drážkované matici (4) jsou našroubovány obe cásti spojovací tyce (5, 6), kdy jedna z nich je opatrena levým a druhá pravým závitem. Vzájemný kontakt spojovacích tycí (5, 6) je zajišten dosedacími plochami, které jsou o sebe opreny, címž je zajištena správná funkce závitového spoje.
Ex Output:
The variable directional rotation of the wheels is made possible by the stator (1) of the electric motor, which is fixedly connected to the frame and by the rotor (2) of the electric motor, which is connected to the grooved hub (3). Between the grooved nut (4) and the grooved hub (3) there is a form-fit that is formed by a tongue or by parallel grooving or involute grooving or otherwise modified form of grooving. The grooved nut (4) has a left-hand thread on one side and a right-hand thread, trapezoidal, metric or other, or is replaced by a ball screw. In the grooved nut (4), both parts of the connecting rod (5, 6) are screwed, one of which is provided with a left and the other with a right thread. Mutual contact of the connecting rods (5, 6) is provided by abutting abutment surfaces, thereby ensuring the proper functioning of the threaded connection.
Ex Input:
účelem řešeni je zajistit pevné uchyceni přísavek k povrchu přenášeného plochého materiálu 1 při jeho různých šířkách. uvedeného účelu se dosáhne jednoduchou úpravou přisavkového ukladače, kde jsou přísavky upevněny na nosných ramenech, otočně uchycených na závěsných čepech rámu. Nosná ramena jsou pak na bocich opatřena natáčecimi čepy, které jsou prostřednictvím táhel pohybově spojeny s ovládacím prvkem, připevněným k rámu.
Ex Output:
the purpose of the solution is to ensure a firm grip suction cups to the surface of the flat material 1 at its different widths. of this purpose is achieved simply by adjusting the pile stacker where the suction cups are mounted on the support arms, rotatably mounted on hinge pins frame. The support arms are then on the sides provided with pivots which are through linkages are connected with a control element attached to the frame.
Ex Input:
Přestavitelný zakladač jeřábového typu je určen k manipulaci a skladování širokého sortimentu hutních materiálů, jak plechů, tak i válcovaných profilů, ale i jiných rozměrných materiálů a skladových jednotek. Zakladač je opatřen dvěma samostatně pojízdnými pojezdovými vozíky, spojenými prostřednictvím stabilizačních teleskopů s výsuvnými částmi teleskopického rámu, čímž má zakladač možnost přizpůsobit délku teleskopického manipulačního rámu délce manipulovaného materiálu·
Ex Output:
|
Adjustable crane stacker type is intended for handling and storage a wide range of metallurgical materials, both sheets and rolled profiles but also other bulky materials and stock units. The stacker has two Self-propelled trolleys associated with stabilization telescopes with telescopic telescopic parts frame, giving the stacker the option adjust telescopic length handling frame length manipulated material ·
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NIv2
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task842_para_pdt_cs_en_translation
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fs_opt
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] |
Given the task definition, example input & output, solve the new input case.
A text is given in English. Translate it from the English language to the Hindi language. The translation must not omit or add information to the original sentence.
Example: There are special coaching classes for Adivasi students
Output: आदिवासी छात्रों के लिए विशेष कोचिंग क्लासेस हैं
Correct translation for given sentence. Input sentence means 'There are special coaching classes for Adivasi students' which is the same as the output sentence.
New input case for you: The Prime Minister said the foundation stone of IARI laid today, had the potential to impact the entire region in a positive way in the future.
Output:
|
आईएआरआई की आधारशिला रखते हुए प्रधानमंत्री ने कहा कि इससे भविष्य में पूरे क्षेत्र में एक सकारात्मक प्रभाव पड़ेगा।
| 1
|
NIv2
|
task1023_pib_translation_english_hindi
|
fs_opt
|
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] |
Given the task definition and input, reply with output. Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
Question: Does iron bind to the Apo-B protein of low-density lipoprotein?
Answer: No binding was observed between iron, as a low molecular weight Fe(III) complex, and LDL. As a control albumin was able to bind iron, it seems evident that interaction of iron with LDL will involve other iron complexes.
|
no
| 5
|
NIv2
|
task846_pubmedqa_classification
|
zs_opt
|
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You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
One example: Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.
Solution is here: Y puede expresar desde admiración y codicia, hasta ansiedad y angustia.
Explanation: The Portugese sentence is correctly translated into Spanish, because the meaning is preserved.
Now, solve this: Eu vou dar-vos um exemplo, um exemplo bem simples de como isto funciona.
Solution:
|
Les voy a dar un ejemplo, un ejemplo muy simple de como funciona esto.
| 6
|
NIv2
|
task1276_ted_translation_pt_es
|
fs_opt
|
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] |
Definition: In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Input: [-3, -26, -45, -2, 51, 71, -54]
Output:
|
[-26, -2, 71]
| 2
|
NIv2
|
task370_synthetic_remove_divisible_by_3
|
zs_opt
|
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] |
Given the task definition and input, reply with output. In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Sentence: 'a bathroom with a white sink sitting in a counter'. How many words start with the letter 'c' in the sentence.
|
1
| 5
|
NIv2
|
task162_count_words_starting_with_letter
|
zs_opt
|
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] |
Teacher:In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns whether there is exactly one row in the view
3. hop: returns the value under the header column of the row
4. and: returns the boolean operation result of two arguments
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column
6. nth max/nth min: returns the n-th max/n-th min of the values under the header column
7. argmax/argmin: returns the row with the max/min value in header column
8. nth argmax/nth argmin: returns the row with the n-th max/min value in header column
9. eq/not eq: returns if the two arguments are equal
10. round eq: returns if the two arguments are roughly equal under certain tolerance
11. greater/less: returns if argument 1 is greater/less than argument 2
12. diff: returns the difference between two arguments
13. filter eq/not eq: returns the subview whose values under the header column is equal/not equal to argument 3
14. filter greater/less: returns the subview whose values under the header column is greater/less than argument 3
15. filter greater eq /less eq: returns the subview whose values under the header column is greater/less or equal than argument 3
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 argument 3
18. all greater/less: returns whether all the values under the header column are greater/less than argument 3
19. all greater eq/less eq: returns whether all the values under the header column are greater/less or equal to argument 3
20. most eq/not eq: returns whether most of the values under the header column are equal/not equal to argument 3
21. most greater/less: returns whether most of the values under the header column are greater/less than argument 3
22. most greater eq/less eq: returns whether most of the values under the header column are greater/less or equal to argument 3
Teacher: Now, understand the problem? Solve this instance: and { only { filter_greater { all_rows ; total asian population ; 130000 } } ; eq { hop { filter_greater { all_rows ; total asian population ; 130000 } ; london borough } ; newham } } = true
Student:
|
select the rows whose total asian population record is greater than 130000 . there is only one such row in the table . the london borough record of this unqiue row is newham .
| 6
|
NIv2
|
task110_logic2text_sentence_generation
|
zs_opt
|
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] |
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Input: Consider Input: Tweet: Sędzia złodziej będzie nadal orzekał. To jakaś MASAKRA. , Question: Does the tweet contain cyberbullying (harmful) content?
Output: No
Input: Consider Input: Tweet: @anonymized_account @anonymized_account Adrianowi było bliżej do Katynia w New Jersey, niż do Katynia w Katyniu. , Question: Does the tweet contain cyberbullying (harmful) content?
Output: No
Input: Consider Input: Tweet: @anonymized_account @anonymized_account Zdaję sobie tego sprawę ;) , Question: Is the tweet free of any cyberbullying (harmful) content?
|
Output: Yes
| 2
|
NIv2
|
task839_cdt_classification
|
fs_opt
|
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-0.21696272492408752,
-0.3070410490036011,
-0.18615217506885529,
-0.09437772631645203,
-0.5344334840774536,
-0.922028660774231,
0.17487694323062897,
0.038187481462955475,
0.1386510133743286,
0.40208619832992554
] |
Given the task definition and input, reply with output. Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
metal can be characterized by strong
|
metal HasProperty strong
| 5
|
NIv2
|
task1510_evalution_relation_extraction
|
zs_opt
|
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] |
Teacher:In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Teacher: Now, understand the problem? Solve this instance: I got the O.N.E. Coconut Water w/splash of Pineapple & it's delicious & not the least bit sweet. Just very refreshing!! LOVE IT and will continue using it. Saw this on Dr. Oz as he recommended it.
Student:
|
5
| 6
|
NIv2
|
task588_amazonfood_rating_classification
|
zs_opt
|
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] |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Example Input: Ou as que dizem: "" Não gastem todo o vosso orçamento num ecrã gigante "" para a sala de conferências "" para depois colocarem um microfone pequeno "" no centro de uma mesa para 30 pessoas. (Risos) "" Se me conseguem ouvir, conseguem compreender-me "" sem me verem. Se me conseguem ver sem me ouvirem, "isso não funciona."
Example Output: Or who say, don't spend all your budget on a huge screen in the conference room, and then place one tiny microphone in the middle of a table for 30 people. (Laughter) If you can hear me, you can understand me without seeing me. If you can see me without hearing me, that does not work.
Example Input: Assim, a questão principal que precisamos pensar ao olharmos para isso é como trabalharmos juntos para produzir bens públicos globais, coisas das quais cada um de todos nós nos beneficiaremos?
Example Output: So the key question that we need to think about as we look at this is how do we work together to produce global public goods, things from which all of us can benefit?
Example Input: Mas, apesar de ter encontrado esta nova alegria e liberdade, a reação das pessoas para comigo mudou totalmente.
Example Output:
|
But even though I had this newfound joy and freedom, people's reaction completely changed towards me.
| 3
|
NIv2
|
task1274_ted_translation_pt_en
|
fs_opt
|
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] |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering 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
--------
Question: What is the part-of-speech tag of the word "place" in the following question: What was the official name of the country from which the 1978 first and second place teams came from ?
Answer: NN
Question: What is the part-of-speech tag of the word "airport" in the following question: What is the location for the airport that was , during the final phase of the Chadian-Libyan conflict , the main air base in Southern Libya , with room for 100 combat aircraft ?
Answer: NN
Question: What is the part-of-speech tag of the word "stadium" in the following question: What city is the stadium located on a parcel of land at the southwest corner of the intersection of the Jones Falls Expressway and Coldspring Lane in the Woodberry neighborhood located in ?
Answer:
|
NN
| 7
|
NIv2
|
task382_hybridqa_answer_generation
|
fs_opt
|
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In this task, you are given a paragraph and question in Chinese, and your task is to generate the right answer for the given question from the passage. Construct an answer in such a way that (i) it is unambiguous, (ii) it is extracted from the passage, (iii) it is relevant to the question asked, and (iv) its answer is a continuous text span from the paragraph.
Ex Input:
passage : 欧洲足协年度最佳阵容（UEFA Team of the Year）是由欧洲足联颁发的一个足球奖项，是通过网上问卷调查评选出来的。该奖项始于2001年。欧足联官方网站的注册用户可以根据欧洲俱乐部的球员当年的表现和欧洲俱乐部或欧洲国家队的教练当年所率领球队的战绩来选择自己心目中的11人名单和教练。2007年，欧足联收到了接近1200万份问卷。近年来，欧足联官方网站允许访问者在参加问卷调查的同时为阿富汗的地雷受害者捐款。欧足联的工作人员根据当年情况拟定了一份60人的大名单。欧足联官方网站的注册用户可以通过访问欧足联官方网站参与调查，然后提交自己心目中的11人名单（1名门将，4名后卫，4名中场，2名前锋）和教练。经过问卷调查和统计数据之后，欧足联会将结果公布于欧足联的官方网站上。卡莱斯·普约尔6次进入最佳阵容；蒂埃里·亨利、伊克尔·卡西利亚斯和克里斯蒂亚诺·罗纳尔多5次进入最佳阵容；亚历山德罗·内斯塔、史蒂芬·杰拉德、利昂内尔·梅西和约翰·特里4次进入最佳阵容；齐内丁·齐达内、罗纳尔迪尼奥、帕维尔·内德维德、吉安路易吉·布冯、哈维·埃尔南德斯和卡卡3次进入最佳阵容。蒂埃里·亨利（2001-2004）、史蒂芬·杰拉德（2004-2007）、利昂内尔·梅西（2008-2011）分别连续4年进入最佳阵容。而克里斯蒂亚诺·罗纳尔多（2007-2011）和伊克尔·卡西利亚斯（2007-2011）则连续5年进入最佳阵容。巴塞罗那的球员26次进入最佳阵容；AC米兰的球员16次进入最佳阵容；皇家马德里的球员16次进入最佳阵容。主教练方面，何塞·穆里尼奥4次进入最佳阵容；亚历克斯·弗格森2次进入最佳阵容。主教练：热拉尔·霍利尔，利物浦足球俱乐部主教练: 塞诺尔·居内什 土耳其国家队主教练: 何塞·穆里尼奥 波尔图主教练: 何塞·穆里尼奥 波尔图/ 切尔西主教练: 何塞·穆里尼奥 切尔西主教练: 马尔切洛·里皮 意大利国家队主教练: 亚历克斯·弗格森 曼联主教练: 亚历克斯·弗格森 曼联主教练: 何塞普·瓜迪奥拉 巴塞罗那主教练: 何塞·穆里尼奥 国际米兰主教练: 何塞普·瓜迪奥拉 巴塞罗那 , question : 近年来，欧足联官方网站允许访问者在参加问卷调查的同时还可以干什么？
Ex Output:
为阿富汗的地雷受害者捐款。
Ex Input:
passage : 草黄树鸭（学名：""）是分布在热带地区的树鸭属，包括中美洲、南美洲、撒哈拉以南非洲、印度次大陆及美国墨西哥湾沿岸地区。草黄树鸭长48-53厘米。牠们的喙是灰色的，头部及脚都很长，头部及上身呈浅黄色，两侧有些红色，冠深色，背部及双翼呈深灰色。尾巴及双翼上有栗褐色的斑纹，上尾有一白色的半月形，在飞时特别明显。雏鸟两侧对比较低，尾巴颜色也有不同。草黄树鸭很普遍。除了一些地区性的移动外，很多时都是留鸟，而在南欧也会有一些流浪者。牠们会在树枝上筑巢，有时也会在空心树中筑巢或利用其他鸟类的巢。牠们每次会生8-12只蛋。草黄树鸭喜欢栖息在淡水湖、稻田或水塘。牠们多在夜间觅食，主要吃种子及植物的其他部份。草黄树鸭是群居的，可以组成一大群。草黄树鸭是《非洲-欧亚大陆迁徙水鸟保护协定》所保护的物种之一。 , question : 草黄树鸭的体长是多少？
Ex Output:
48-53厘米
Ex Input:
passage : 卓以和（），籍贯北平，美国华裔物理学家，电器工程师，分子束外延（Molecular beam epitaxy）技术的鼻祖，量子级联激光器的共同发明人，对Ⅲ－V族化合物半导体、金属和绝缘体的异质外延和人工结构的量子阱、超晶格及调制掺杂微结构材料系统地开展了大量先驱性的研究工作。卓以和于1937年生于北京。他的祖父卓定谋（字君庸）是中华民国第一届国大代表。1949年全家移住香港，就读于培正中学。卓以和高中毕业后，留学美国，在伊利诺伊大学厄巴纳-香槟分校（University of Illinois at Urbana-Champaign）取得电机工程学士、硕士和博士学位。卓以和的专长为应用物理科学和工程科学。主要的贡献是发明分子束外延（Molecular beam epitaxy）技术和量子级联激光器（Quantum cascade laser）。卓以和目前担任美国Alcatel-Lucent贝尔实验室半导体研究所助理副总裁。目前并担任中华民国教育部、工研院、中研院物理所顾问。卓以和曾获选为获奖：卓以和夫妇育有一儿三女。 , question : 卓以和的籍贯是哪里？
Ex Output:
|
北平
| 1
|
NIv2
|
task1570_cmrc2018_answer_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.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Solution: E eu continuo a pensar que o transporte é o centro deste universo.
Why? The Farsi sentence is correctly translated into Portugese, because the meaning is preserved.
New input: می توانید ببینید که این تیغه های روزنه طوسی را روشن می کند.
Solution:
|
Podem ver a luz nas lâminas cinzentas do diafragma.
| 0
|
NIv2
|
task1273_ted_translation_fa_pt
|
fs_opt
|
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] |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example Input: English: Since foot-and-mouth was confirmed in cows at a Surrey farm, more than 200 cattle have been culled as a preventative measure.
Japanese: もう1人は61歳の男性で、その後病院で死亡した。
Example Output: No
Example Input: English: Duplicate books are required for the individual four camps to prevent covert use of books to communicate between camps.
Japanese: 午前8時30分から午後4時まで15分おきに運行した。
Example Output: No
Example Input: English: Wikinews contacted the McCain campaign with a request for a statement regarding this issue; and, at the time of publication, had not received a response.
Japanese: オーストラリアのメルボルンの警察は、今朝、中心部のビジネス街で一人の男を射殺し、別の二人を負傷させた射撃者を捜索中である。
Example Output:
|
No
| 3
|
NIv2
|
task437_alt_en_ja_answer_generation
|
fs_opt
|
[
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] |
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
Example: Hypothesis: You should help your family with funeral expenses.
Update: They have asked you to chip in
Example solution: strengthener
Example explanation: If your family has asked you to chip in for the funeral expenses, you should help them.
Problem: Hypothesis: It's okay to think their should be justice when people do something wrong.
Update: Someone has been injured.
|
Solution: strengthener
| 5
|
NIv2
|
task937_defeasible_nli_social_classification
|
fs_opt
|
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] |
Q: 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
In the stage 4 event in 1987 , the competition replaced what other event ?
A:
|
IN DT NN CD NN IN CD , DT NN VBD WP JJ NN .
| 7
|
NIv2
|
task345_hybridqa_answer_generation
|
zs_opt
|
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] |
Instructions: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Input: 10 minutes into the film you 'll be white-knuckled and unable to look away .
Output:
|
POS
| 3
|
NIv2
|
task363_sst2_polarity_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 need to replace a letter in the sentence with another given letter.
Sentence: 'a man holding a pizza on top of a pan covered in toppings'. Replace the letter 'o' with 'j' in the sentence.
Output:
|
a man hjlding a pizza jn tjp jf a pan cjvered in tjppings
| 1
|
NIv2
|
task160_replace_letter_in_a_sentence
|
zs_opt
|
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] |
Teacher: In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it should be in sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? If you are still confused, see the following example:
Hindi: पहले दो को अविश्वसनीय मानकर बाकी पांच मुखबिरों के आधार पर मुकदमा चलाया गया|
English: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
Solution: Yes
Reason: Hindi sentence is properly converted into English sentence because the Hindi sentence also says that the first two were judged to be untrustworthy, thus the prosecution relied heavily on the testimony of the remaining five approvers. Also, the translated sentence is in a sentence case.
Now, solve this instance: Hindi: शिया इस्लाम में थोड़े अलग सिद्धांतों को स्तम्भ कहा जाता है।
English: Shiya Muslims follow a slightly different set of duties which they consider pillars.
Student:
|
Yes
| 2
|
NIv2
|
task426_hindienglish_corpora_hi-en_classification
|
fs_opt
|
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] |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Example input: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט. "" היא אמרה, "" יש בו צבעים. יש בו תנועה.
Example output: Pregunteille: "" É coma un soño? "" E dixo: "" Non, non é coma un soño. É coma unha película. Ten cor. Ten movemento.
Example explanation: The Hebrew sentence is correctly translated into Galician, because the meaning is preserved.
Q: אז אם הייתי מציג לכם את כל זני השעועית בעולם, בשקופיות כמו זו, והייתי מחליף שקופית מידי שניה, זה היה אורך כל משך ההרצאה שלי. ואז לא הייתי צריך לומר דבר.
A:
|
Así que se eu fora amosarlles todos os feixóns do mundo, e tivera unha diapositiva coma esta, e a cambiara cada segundo, ocuparía toda a miña charla en TED. E non tería que dicir nada.
| 3
|
NIv2
|
task1110_ted_translation_he_gl
|
fs_opt
|
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Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expresses no clear view towards the entity or has equal amounts of positive and negative statements or expressing some fact/quote by someone else. Select Negative if the article expresses a negative view towards like harsh remarks, criticizing entities action/decision etc. Note that URLs in the text have been replaced with [Link].
Q: What is the sentiment of the following document towards the entity Ed Gillespie ? Ed Gillespie left is the Republican gubernatorial candidate in Virginia; Lt. Gov. Ralph Northam is the Democratic candidate. (Bill O'Leary/The Washington Post)
Virginia Republican gubernatorial candidate Ed Gillespie started to close a financial gap with Democratic rival Ralph Northam in October new filings show.
Gillespie raised $9.7 million between Oct. 1 and Oct. 26 while Northam pulled in nearly $11 million according to records compiled Tuesday by the nonpartisan Virginia Public Access Project (VPAP).
The late flood of campaign money is unprecedented in modern Virginia history according to VPAP. Together Gillespie and Northam raised almost twice what the gubernatorial contenders collected in the same period four years ago.
Northam the stateâs lieutenant governor also significantly outspent Gillespie in October $15 million to $10.7 million. Doing so meant losing the 2-to-1 cash advantage he had over Gillespie since the summer.
With 12 days before Election Day Northam had $1.7 million left in campaign accounts to Gillespie âs $1.4 million. Libertarian candidate Cliff Hyra raised $11 000 in the October period ending with about $5 000 on hand.
Republican Ed Gillespie and Democratic Lieutenant Governor Ralph Northam are running in this year's closely watched race for Virginia governor. (Claritza Jimenez/The Washington Post)
The Republican Governors Association on Monday gave $2.8 million to Gillespie âs campaign â the largest single donation to a gubernatorial candidate in recent memory according to VPAP.
The tightening of the money race comes as most polls show Northam with a slight lead or in a dead heat with Gillespie a longtime GOP operative. Virginiaâs governorâs race is widely viewed as a test of politics in the era of President Trump and a hint of whatâs to come in next yearâs midterm elections.
Gillespie has been airing hard-edge ads seeking to tie Northam to MS-13 gang violence and a sex offender who briefly got his rights restored. Northam countered with a commercial blasting Gillespie âs ads as âfalse attacksâ and âdespicable â while the Latino Victory Fund released a controversial commercial featuring a Gillespie supporter in a pickup truck chasing a group of minority children.
Gillespie âs earlier fundraising troubles raised questions about why a well-connected former head of the Republican National Committee â and a lobbyist and consultant for Fortune 500 companies â wasnât able to keep up.
In the October filing period the Republican Governors Association poured $4.75 million into Gillespie âs bid nearly half his haul. He also received $250 000 from Marlene Ricketts a conservative donor who bankrolled an effort to stop Trump from securing the GOP nomination. Investment banker and GOP donor Thomas Saunders and Haulover Creek Development Co. each pitched in $100 000.
A:
|
Positive
| 4
|
NIv2
|
task420_persent_document_sentiment_classification
|
zs_opt
|
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] |
TASK DEFINITION: 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".
PROBLEM: The man standing over there's hat impressed me greatly.
SOLUTION: acceptable
PROBLEM: The one who broke the window was Mr. Kim.
SOLUTION: acceptable
PROBLEM: The more that John gets upset by them, the more that stories about himself seem to show up in the news.
SOLUTION:
|
unacceptable
| 8
|
NIv2
|
task616_cola_classification
|
fs_opt
|
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] |
Teacher:In this task, you are given a review of a product in the Polish language. Your task is to classify the given product review into these three categories: 1) positive, 2)neutral, 3) negative based on its content.
Teacher: Now, understand the problem? Solve this instance: Text: Niestety, jestem zmuszona wystawić tak niską ocenę ze względu na jakość szkła, które zakupiłam. Być może trafiłam na wadliwy produkt, nie wiem, ale mimo postępowania według instrukcji podczas aplikacji szkła oraz (uważam) rozsądnego użytkowania telefonu, szkło odkleiło się. Pomijam fakt, iż miałam problem z przyklejeniem go do telefonu podczas zakładania.
Question: What is the rating for the text?
Student:
|
negative
| 6
|
NIv2
|
task634_allegro_reviews_classification
|
zs_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.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is used for the Tail or not. The usage describes everyday affordances or uses of objects and includes both typical and atypical uses. For example, a popcorn bucket can typically be used to hold popcorn, but it could also serve as a hat in atypical situations. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: basket<sep>Tail: carry laundry
Solution: Yes
Why? This is a good example. The basket is used for carrying the laundry.
New input: Head: PersonX asks ___ if PersonY could have one<sep>Tail: Engaged
Solution:
|
No
| 0
|
NIv2
|
task1209_atomic_classification_objectuse
|
fs_opt
|
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] |
Instructions: Construct a question that every answer in the list is correct and reasonable for it.
Input: television, bed, table, mini bar, couch, picture
Output:
|
name something that would be hard to steal from a hotel room
| 3
|
NIv2
|
task821_protoqa_question_generation
|
zs_opt
|
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] |
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.
GaAlAs lasers induce pulp mineralization by promoting reparative dentinogenesis. This study analyzed the expression of dentin matrix protein 1 (DMP1) and osteopontin in GaAlAs laser-irradiated rat molars, to examine the hypothesis that these proteins play a role in the laser-induced reparative dentinogenic process.', 'The mesial surfaces of the upper first molars of 8-week-old Wistar rats were irradiated with a pulsed GaAlAs laser. After 1-14\xa0days, mRNA expression of DMP1 and osteopontin in the coronal pulp was analyzed using real-time PCR. DMP1, osteopontin, and heat shock protein 25 (HSP25) were immunolocalized at 1-21\xa0days.', 'The pulp exhibited a degenerative zone in its mesial portion on days 1-3, and progressive formation of reparative dentin lined with HSP25-immunoreactive odontoblast-like cells, from day 7 onwards. DMP1 and osteopontin mRNA expression were significantly upregulated on days 1-7 and 3-7, respectively. From day 7 onwards, DMP1 and osteopontin immunoreactivity colocalized along the boundary between the primary and reparative dentin.
|
1
| 0
|
NIv2
|
task848_pubmedqa_classification
|
zs_opt
|
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] |
Teacher: In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Teacher: Now, understand the problem? If you are still confused, see the following example:
But if the shares belong to Geoffrey Charles, well, then George cannot touch them.
Solution: لكن لو كانت الأسهم بإسم جوفري تشارلز لن يمكن لجورج المساس بهم.
Reason: This is a good example. The above sentence is correctly translated from English to Arabic.
Now, solve this instance: The tuition money
Student:
|
المال الخاص بالتدريس
| 2
|
NIv2
|
task651_opus100_en_ar_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 will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
[146, 9, 100]
Output:
|
[73, 28, 50]
| 1
|
NIv2
|
task206_collatz_conjecture
|
zs_opt
|
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] |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head includes an event or an action in the Tail or not. This happens when the Tail denotes a step within the larger head event. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: jog<sep>Tail: drinks tons of water
Output:
|
Yes
| 3
|
NIv2
|
task1211_atomic_classification_hassubevent
|
zs_opt
|
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] |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Example: Question: A distension is defined as:
Options: <0> Soft tissue injury. <1> Forced movement of abrupt production. <2> Injury by stretching a muscle. <3> Injury of the joint capsule. <4> Interruption in the continuity of a bone.
Output: nursery
Distension means Bloating and swelling in the belly area. It does not have much to do with chemistry, psychology, pharmacology, biology and medicine. Hence, the correct topic is nursery.
New input case for you: Question: What is the main cerebral structure involved in conditioned fear ?:
Options: <0> The hippocampus <1> The cingulate cortex. <2> The olfactory bulb. <3> The hypothalamus <4> The amygdala
Output:
|
psychology
| 1
|
NIv2
|
task1434_head_qa_classification
|
fs_opt
|
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] |
Definition: In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Input: Abstract: The CCP4 (Collaborative Computational Project, Number 4) software suite is a collection of programs and associated data and software libraries which can be used for macromolecular structure determination by X-ray crystallography. The suite is designed to be flexible, allowing users a number of methods of achieving their aims. The programs are from a wide variety of sources but are connected by a common infrastructure provided by standard file formats, data objects and graphical interfaces. Structure solution by macromolecular crystallography is becoming increasingly automated and the CCP4 suite includes several automation pipelines. After giving a brief description of the evolution of CCP4 over the last 30 years, an overview of the current suite is given. While detailed descriptions are given in the accompanying articles, here it is shown how the individual programs contribute to a complete software package.. Title: Overview of the CCP4 suite and current developments
Output:
|
yes
| 2
|
NIv2
|
task1587_scifact_classification
|
zs_opt
|
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] |
Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example input: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Lao: ຂໍ້ມູນໄດ້ຖືກສະໜອງໂດຍ ເລຂາທິການຂົນສົ່ງ ສະຫະລາຊະອານາຈັກ ຣູດ ເຄລີ່ ໃນສະພາຕໍ່າ ທີ່ 1730 UTC ມື້ວານນີ້.
Example output: Yes
Example explanation: The converted Lao sentence is correctly translated from Japanese because converted sentence has the same message as the original Japanese sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
Q: Japanese: ニュージーランドの農民らは、現役農業犬をマイクロチップ規制から除外することに関し議員が投票を行い、61対60で可決されたことで、議会で大きな勝利を勝ち取った。
Lao: ສຳລັບສິບປີທຳອິດ ລາວໄດ້ແຂ່ງຂັບກັບ ລາຍການອື່ນໂດຍການສົນທະນາ ຫົວຂໍ້ຄວາມສຳພັນ ແລະ ເສັ້ນຂະໜານ.
A:
|
No
| 3
|
NIv2
|
task1126_alt_ja_lo_answer_generation
|
fs_opt
|
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] |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
One example: Con el crecimiento, los países y las sociedades ingresan en un ciclo virtuoso de movilidad ascendente, de oportunidad y mejores niveles de vida.
Solution is here: With economic growth, countries and societies enter into a virtuous cycle of upward mobility, opportunity and improved living standards.
Explanation: The Spanish sentence is correctly translated into English, because the meaning is preserved.
Now, solve this: Y encaramos la crianza esperando una vida así.
Solution:
|
And we went into parenting expecting our lives to look like this.
| 6
|
NIv2
|
task1226_ted_translation_es_en
|
fs_opt
|
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] |
A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence.
Example Input: इसी लक्ष्य को ध्यान में रखते हुए आयुष्मान भारत योजना के तहत ealth and wellness entre बनाने का काम तेज गति से चल रहा है।
Example Output: हे उद्दिष्ट लक्षात घेऊन आयुष्मान भारत योजने अंतर्गत आरोग्य आणि कल्याण केंद्र उभारण्याचे काम जलद गतीने सुरु आहे.
Example Input: इस स्कीम का शुभारंभ माननीय प्रधानमंत्री श्री नरेन्द्र मोदी द्वारा 19 फरवरी 2015 को सूरतगढ़, राजस्थान में किया गया था।
Example Output: यासंदर्भात त्यांनी कुडनकुलम अणु ऊर्जा केंद्राच्या 5 आणि 6 या युनिटबाबत झालेल्या कराराचा उल्लेख केला.
Example Input: खाद खरीदना हो, बीज खरीदना हो, बिजली का बिल भरना हो, कीटनाशक खरीदना हो ऐसे तमाम काम वो इस पैसे से कर पाएगा।
Example Output:
|
खत खरेदी असेल, बियाणे खरेदी असेल, विजेचे बिल भरायचे असेल, कीटकनाशके खरेदी करायची असतील, अशी अनेक कामे ते या पैशातून करू शकतील.
| 3
|
NIv2
|
task1081_pib_translation_hindi_marathi
|
fs_opt
|
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] |
Given the task definition, example input & output, solve the new input case.
The provided file includes inquiries about restaurants, and we ask you to translate those to the Chinese language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
Example: are there any " italian " restaurants nearby with 3 star reviews ?
Output: 附近是否有任何3星评价的" italian "餐厅？
The translation correctly preserves " italian " entity and is accurate
New input case for you: i 'd like to know the location of " dunkin donuts " ?
Output:
|
我想知道 "dunkin donuts" 的位置在哪里？
| 1
|
NIv2
|
task253_spl_translation_en_zh
|
fs_opt
|
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] |
Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Context : Idiotest (a portmanteau of ``idiot'' and ``test'' and stylized as Id!otest) is an American television game show broadcast by Game Show Network (GSN).
Answer : Game Show Network
|
Which channel broadcast Idiotest?
| 0
|
NIv2
|
task1326_qa_zre_question_generation_from_answer
|
zs_opt
|
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] |
Instructions: In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Input: Context: Recent psychopharmacological studies lend support to the notion of partially dissociable neuronal systems dedicated to processing specific emotions. For example, GABA-ergic enhancement after an acute dose of the benzodiazepine, diazepam, produces specific impairments in anger and fear recognition. However, it is unclear if these impairments are a general property of benzodiazepines and other drugs that produce a similar profile of neurocognitive impairment to benzodiazepines, such as the anticholinergic, scopolamine.', 'We investigated the effects of scopolamine and the benzodiazepine, lorazepam, on emotion-recognition accuracy.', 'A double-blind independent group design was used with 48 healthy volunteers to compare the effects of scopolamine and lorazepam with an inactive placebo on a commonly used emotion-recognition task. Control measures included an episodic memory task and subjective mood ratings.', 'Anger and disgust recognition accuracy was impaired after scopolamine. In contrast, lorazepam produced no impairment in emotion-recognition despite producing similar levels of sedation and anterograde amnesia to scopolamine.\Question: Does scopolamine induce impairments in the recognition of human facial expressions of anger and disgust?
Output:
|
Scopolamine-induced cholinergic hypofunction selectively impaired the recognition accuracy of disgust and anger facial expressions. The effects of scopolamine on emotion-recognition are similar to those found in Huntington's disease patients. Furthermore, the impairments in anger and fear recognition previously observed with diazepam do not appear to be a general property of benzodiazepines. This suggests that alterations in emotional processing involving changes in the ability to recognize threat-related emotions (particularly, fear and anger) may not be a principal mechanism underlying anxiolysis or paradoxical aggression seen with benzodiazepines.
| 3
|
NIv2
|
task849_pubmedqa_answer_generation
|
zs_opt
|
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] |
instruction:
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
question:
スロベニアは、クロアチアをメンバーに加えるかどうかの議論で過去の国境問題に触れるのを妨げた。
answer:
Slovenia menghalangi keanggotaan Kroatia berbicara atas persoalan perbatasan di masa lalu.
question:
ラワルピンディのパキスタン軍本部近くで自爆テロが少なくとも24名を殺害したのは、その男が軍本部から数百メーター先の銀行の外でバイクに乗ったまま爆発物を爆破させた時であった。
answer:
Seorang pembom bunuh diri telah menewaskan sedikitnya 24 orang di dekat markas besar militer Pakistan di Rawalpindi ketika dia meledakkan bom saat naik sepeda motor di luar bank, beberapa ratus meter dari markas besar militer.
question:
現職のマヒンダ・ラジャパクセ大統領が元軍トップのサラス・フォンセカ将軍との熾烈な争いを繰り広げていると予測されているが、両者とも勝利を確信していると公言している。
answer:
|
Pejabat sementara Presiden, Mahinda Rajapaksa, diharapkan bersaing ketat melawan mantan kepala militernya, Jenderal Sarath Fonseka; kedua kandidat berkata mereka mengharapkan kemenangan.
| 9
|
NIv2
|
task1115_alt_ja_id_translation
|
fs_opt
|
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] |
Part 1. Definition
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix' instead of 'one thousand seven hundred six'.
Part 2. Example
twotwoonesixzeronine
Answer: 221609
Explanation: The string is properly converted into a number based on the spelling of each digit. The string started with 'twotwo' therefore the number also started with '22'. This is a good example.
Part 3. Exercise
seveneightthreezerofour
Answer:
|
78304
| 7
|
NIv2
|
task1443_string_to_number
|
fs_opt
|
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] |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
--------
Question: Adam found himself in a shocking situation.
Answer: male
Question: I made Nichelle feel disappointed.
Answer: female
Question: Alan made me feel annoyed.
Answer:
|
male
| 7
|
NIv2
|
task1336_peixian_equity_evaluation_corpus_gender_classifier
|
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 two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether PersonX needs what is mentioned in the Tail before the Head or not. Here need is a precondition for PersonX to achieve the event. For example, in order for PersonX to give PersonY gifts, PersonX must first buy the presents. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX achieves PersonY objective<sep>Tail: strong
Output:
|
No
| 1
|
NIv2
|
task1202_atomic_classification_xneed
|
zs_opt
|
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] |
Classify the given a piece of financial news into three classes: positive, negative, and neutral. Output must be 'positive', 'negative', or 'neutral'.
Example input: According to Gran , the company has no plans to move all production to Russia , although that is where the company is growing .
Example output: neutral
Example explanation: Although the author uses negative words like 'no' in the news, there is no evidence of the news being positive or negative for any stakeholder. Hence, the output should be neutral and the classification is correct.
Q: Operating profit totaled EUR 3.8 mn , down from EUR 4.5 mn in the corresponding period in 2005 .
A:
|
negative
| 3
|
NIv2
|
task843_financial_phrasebank_classification
|
fs_opt
|
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] |
Given a sentence in Chinese, generate a new Chinese 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.
One example is below.
Q: 静音开关用于激活灯光 。
A: 使用灯开关命令取出针头 。
Rationale: This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about the lights and the changes in the sentence follows the commonsense knowledge.
Q: 您可能会在小册子中找到捐款 。
A:
|
你很可能在一本书里 形成猴子。
| 9
|
NIv2
|
task412_mickey_zh_sentence_perturbation_generation
|
fs_opt
|
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] |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
Q: ['i', 'Q', '8501', 'v', '7189', 'm', '6381', 'L', '8607', '6641', '2015', 'V', '6445', '4073', 'p', '7615']
A: 1, 2, 4, 6, 8, 12, 15
****
Q: ['5117', '8563', '9127', '5353', '4701', '5935', 'C', 'n', 'u', 'V', 'X', '1363', '1257', '5501', '7661', '4309', '8279', '3025', 'h', '2297', '7831']
A: 7, 8, 9, 10, 11, 19
****
Q: ['X', '9869', '7325', 'q', '6797', '29', 's', 'I', 'y', 'c', '6981', '9993', 'f', '1385', 'Z', '8041', 'E', 'O', '2577', '2151']
A:
|
1, 4, 7, 8, 9, 10, 13, 15, 17, 18
****
| 4
|
NIv2
|
task506_position_of_all_alphabetical_elements_in_list
|
fs_opt
|
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] |
Detailed Instructions: Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Problem:Context : Donkey Xote is a 2007 Spanish-Italian 3D computer-animated children's adventure comedy film produced by Fabio Massimo Cacciatori, Filmax International, Lumiq Studios and Julio Fernández, based on the Miguel de Cervantes novel Don Quixote, starring Andreu Buenafuente, David Fernández, Sonia Ferrer and José Luis Gil.
Answer : Don Quixote
Solution:
|
The Donkey Xote is based upon what?
| 8
|
NIv2
|
task1326_qa_zre_question_generation_from_answer
|
zs_opt
|
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] |
You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
One example: Agora, está ao lado, ou na miña casa.
Solution is here: Now, it's next door, or in my house.
Explanation: The Galician sentence is correctly translated into English. `casa` is correctly translated as `house`.
Now, solve this: ofrecémoslle a opción de rexeitar este grande honor, se quere.
Solution:
|
We offer them the chance to decline this great honor if they want to.
| 6
|
NIv2
|
task1238_ted_translation_gl_en
|
fs_opt
|
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] |
In this task, you are given one French sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into English.
One example is below.
Q: La LGV est très rare en Europe.
A: LGV is very rare in Europe.
Rationale: The translation is correct
Q: Les rapports et autres conclusions scientifiques sont disponibles sur le portail web de l’ECDC.
A:
|
The reports and other scientific output of the Centre are available on the ECDC portal.
| 9
|
NIv2
|
task1397_europa_ecdc_tm_fr_en_translation
|
fs_opt
|
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] |
instruction:
In this task, you are given a question and answer for that. The answer will fill in the blank or will complete the unfinished question. Your task is to provide an explanation based on the given question or fill-in-the-blank statement, and answer.
question:
Question: Milo is making a map for school. If he places a country close to the North Pole, what will happen to the size and shape of that country on the map?
Answer: increase
answer:
In a Mercator projection, because Greenland is closer to the pole, the continents shape and size are greatly increased.
question:
Question: Mary melts a 1 pound chocolate bar and 1 pound of chocolate chips in two pots. Which melts first?
Answer: chips
answer:
It would be hard to get a big chunk of chocolate to dissolve in your milk or hot water. Maybe you could make hot chocolate from some smaller pieces like chocolate chips, but it is much easier to add a powder to your milk. This is because the smaller the pieces are, the more surface area they have.
question:
Question: As more people are added to Earth, they will find _____ water scarcity.
Answer: increasing
answer:
|
Many of the worlds people live with water scarcity, and that percentage will increase as populations increase and climate changes.
| 9
|
NIv2
|
task223_quartz_explanation_generation
|
fs_opt
|
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] |
Translate the given Spanish text to English
Ex Input:
no.
Ex Output:
No.
Ex Input:
Systems and methods are provided for generating subsequent encryption keys by a client device (131)as one of a plurality of client devices (131 -134) across a network (1 10).
Ex Output:
Se proporcionan sistemas y métodos para generar claves de cifrado posteriores mediante un dispositivo cliente como uno de una pluralidad de dispositivos a través de una red.
Ex Input:
The invention relates to a method and apparatus for registering diffractive optical structures.
Ex Output:
|
Método y aparato para el registro de estructuras ópticas difractivas.
| 1
|
NIv2
|
task840_para_pdt_en_es_translation
|
fs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, you should answer with Good.
What is an example of creed ?
Output:
|
Good
| 1
|
NIv2
|
task673_google_wellformed_query_classification
|
zs_opt
|
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] |
In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
One example is below.
Q: And the sun runs his course for a period determined for him: that is the decree of (Him), the Exalted in Might, the All-Knowing.
A: و خورشید [نیز برای آنان نشانهای از قدرت ماست] که همواره به سوی قرارگاهش حرکت میکند. این اندازه گیری توانای شکست ناپذیر و داناست،
Rationale: This is a good example. The above sentence is correctly translated from English to Persian.
Q: So (Moses) threw his rod, and behold, it was a serpent, plain (for all to see)!
A:
|
پس عصایش را انداخت و ناگهان اژدهایی حقیقی نمایان شد،
| 9
|
NIv2
|
task656_quran_en_fa_translation
|
fs_opt
|
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] |
Part 1. Definition
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
Part 2. Example
3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Answer: a, 34, f, 931, 7
Explanation: Here, all the elements except the last 3 from the list are 'a', '34', 'f', '931', and '7'.
Part 3. Exercise
15, ['k', 'E', 'T', 'r', '747', '9761', '7905', '4219', '1267', 'Y', 'X', '5773', '6551', 'u', 'd', '4517', '5135', '8021', '9937', 't', '543', 'K', 'E', 'p', 'w', 'X', 'd', 'f', '3879', '8687']
Answer:
|
k, E, T, r, 747, 9761, 7905, 4219, 1267, Y, X, 5773, 6551, u, d
| 7
|
NIv2
|
task078_all_elements_except_last_i
|
fs_opt
|
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] |
Given the task definition and input, reply with output. In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. For that you can use the Context; however, Context is not provided in all the inputs. Also, in some inputs, there can be zero emotion; for that return 'None'.
Context: The family was starving. The dad stole some food.
Sentence: He gave it to his family.
Character: Dad
|
content
| 5
|
NIv2
|
task293_storycommonsense_emotion_text_generation
|
zs_opt
|
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In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
[EX Q]: Text: i sent some message pranks to people from the library’s computer and was like “hey bitch your books are overdue, give that shit back” and two friends immediately called it. my friend sent me a screen shot and was like “omg they got hacked”. as i was picking up my phone to tell him it was me and he was like “well im on the phone with it” so i immediately found a librarian and confessed. then the head of digital came out and i explained what i did, how i did it, nature of the texts. then there was a group of library employees waiting outside this room to see who had done it. then i just hear “oh r/valesparza…” they sent their it and security detail and informed due their ‘explicit” language policy i was banned. now i’m banned. possibly forever. good thing im moving to dallas next sunday.
[EX A]: i sent some prank texts using a library computer containing "language" and because of their policy i was banned.
[EX Q]: Text: this just happened in the last hour.
i work for a very large international firm, over 2000 employees in my cities offices alone. as is customary on alternate fridays our floor gets some nibbles and some drinks delivered and we basically have a casual letting down of hair. this week the spread was laid out around my desk. it's the end of the week and i have nothing to do so i figure that i'd help out by opening a bottle of red to allow it to breathe (i am not convinced that this improves the wine but i figure it is the 'done thing' and some of the more epicurean members of staff would appreciate it).
feeling a little proud of my pretentiousness and forethought i head back to my desk to give it a tidy and shut down my computer and generally prepare for 2 days off work. in the midst of doing this i hear a voice coming from beyond the desk dividers complaining that someone had opened the bottle.
i peek over the dividers and my heart drops when i see a senior member of the firm looking less than thrilled and holding the bottle that i thought i had so kindly opened.
i am merely an excel drone (albeit able very good one) and somehow i managed to offend a goliath of the firm whom we shall call andre from now on. at this point self preservation should have kicked in and i should have quietly finished out my day and shuffled off home to my sty, but i am a poor middle class englishman and i was honour bound to confess.
i meekly shuffle up to the gentleman, generating enough static electricity to power a small village, and asked if i had done something wrong.
as it transpires andre had just returned from a meeting with a very happy client who had gifted him with a £200 bottle of red wine. on his way back to his office he stops by another colleague to debrief and leaves the bottle on top of a filing cabinet; the very same filing cabinet that minutes later was home to the refreshments of the office party.
ultimately we work out how the fuck up happened and he offers me a glass.
it was very nice wine.
edited for autocorrect fails
[EX A]: excel monkey tries to be nice, ends up opening his bosses very expensive boozey gift.
[EX Q]: Text: i was lining up for the atm machine since there was a long queues in front of me. the person next to me was a lady with holding her white chihuahua. i was carefully sipping my hot coffee while chatting up with my friends in the group chat. in the group chat, one of my friend wanted to type "cheesy chicken chop" but it autocorrected itself to "cheesy children chop". it was so random, i laughed, and at the same time snorted out the hot coffee from my nose, as if poseidon himself was guiding the hot liquid projectile, it landed right on the lady's shoulder and the dog's head. i was hit with the intense pain coming from my nose. i let out a scream so loud, that i didn't even heard the lady ifo me screaming from the hot coffee on her shoulder. the dog fell down from the lady's grasp and was barking. so there we were, 2 people screaming and a dog barking at our feet. tears were flowing down my cheeks. for some reason, i was still laughing at the typo so i was stuck between crying, laughing and coughing at the same time. i tried to apologize to the lady but i accidentally stepped on the dog, which let out a sharp yelp, causing me to involuntary moved backward where my, still shaky, legs got caught in a small drain behind me. i fell down and hit the back of my head to a parked car behind me. when the commotion finally died down, i got up and apologized to the lady. my face was red and i my nose was runny. i then ran back to my car to clean myself up and quickly drove back home. i totally forgot about the atm machine until i got home.
edit: sorry for my bad english, not my first language.
edit2: glad that my fu made you fuckers laughed. just don't laugh too hard at it, ok?
[EX A]:
|
i laughed at a typo and all hells broke loose.
| 6
|
NIv2
|
task511_reddit_tifu_long_text_summarization
|
fs_opt
|
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] |
Instructions: You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Input: They listen to his metaphors and analogies, and they start learning these little things that if they practice enough becomes the key to magic.
Output:
|
يستمعون للاستعارات والتشبيهات ، ويبدؤون في تعلم هذه الأشياء الصغيرة والتي إن تدربوا عليها بما يكفي تصبح مفتاح السحر.
| 3
|
NIv2
|
task1220_ted_translation_en_ar
|
zs_opt
|
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] |
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Q: What kind er why did the university eventually leave the conference?
A:
|
Why did the university eventually leave the conference?
| 4
|
NIv2
|
task1195_disflqa_disfluent_to_fluent_conversion
|
zs_opt
|
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] |
Given the prompt and a response, classify the them to "yes" if response is "yes, and" type. Otherwise classify it as "no". "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...'.
Q: Prompt: Ghost, now that I don't have any secrets anymore, maybe it's time you don't have any secrets anymore.
Response: It was also really weird that the others readily volunteered that information.
A:
|
no
| 4
|
NIv2
|
task361_spolin_yesand_prompt_response_classification
|
zs_opt
|
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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.
Context: For high-resolution microscopy, cells have to be analyzed through thin glass coverslips. Therefore, it is necessary to culture cells on coverslips for preservation of cell morphology. We found cell attachment and spreading to be relatively slow processes, even when cells were plated on coated coverslips. This slowness presents a problem, particularly when synchronized cell populations are used.', 'In this paper, we present a method that is based on glow-discharged carbon coating of coverslips which promotes rapid attachment and spreading of cells, enabling rapid analysis of cells after plating. Results obtained with carbon-coated coverslips were compared with those of other types of coating. Two fibroblast lines, an epithelial cell line, and a carcinoma cell line were tested.
Answer: All cell lines showed a rapid adhesion on carbon-coated coverslips. With fibroblasts we found the carbon coating to be superior to other coatings tested, mainly because the carbon did not influence cell morphology. Using synchronized or irradiated cells produced similar results. The superior performance of carbon coating is probably due to carboxylic groups on the glow-discharged carbon layer. The carbon layer does not interfere with microscopy or immunocytochemical staining procedures.
Does coating of coverslips with glow-discharged carbon promote cell attachment and spreading probably due to carboxylic groups?
Context: Inflammatory risk factors in childhood, e.g. obesity, impact on carotid artery intima media thickness (CIMT), an early indicator of atherosclerosis. Little is known on potential infectious origins in childhood. We investigated the association between number of reported different childhood infectious diseases and CIMT in adolescence.', "288 SAPALDIA offspring (8-21years) underwent a clinical examination in 2010-2011: anthropometry, blood pressure, CIMT, blood draw (cardiovascular biomarkers, cotinine). Offspring and parents gave information on individuals' and family health, child's vaccination status, infectious diseases and other early life factors. Life-time prevalence of bronchitis, pneumonia, tonsillitis, otitis, mononucleosis, meningitis, appendicitis, and scarlet fever were investigated, separately, and as cumulative infectious disease score. Multilevel adjusted linear regression analysis on the association between subjects' CIMT average and infectious diseases score was performed, stratifying by sex.", 'Youth (mean age 14.8\xa0yrs; 53% female) reported on average 1.3 of the listed infectious diseases; 22% boys and 15% girls reported ≥3 infectious diseases (p\xa0=\xa00.136). Two-thirds were vaccinated according to recommendations (boys 56%, girls 61.5%, p\xa0=\xa00.567). Sex-stratified analyses yielded significantly increased CIMT in boys with ≥3 infectious diseases vs. none (0.046\xa0mm, 95%CI 0.024; 0.068). In girls, the effect was of same direction but statistically non-significant (0.011\xa0mm, 95%CI\xa0-0.015; 0.036).
Answer: The SAPALDIA Youth study complements current evidence on infectious origins of atherosclerosis in adults. The larger effects observed in boys may relate to a higher vulnerability of the vasculature and/or to infectious pathogens. Our data are suggestive of an early impact of childhood infectious diseases on vascular health.
Are infectious diseases associated with carotid intima media thickness in adolescence?
Context: Ficus religiosa L. is one of the most relevant members of the family of Moraceae. It is the most sacred tree of South Asia, and it is used in traditional Ayurvedic and Unani medicine to cure respiratory disorders like cough, wheezing and asthma. Some studies were performed to investigate the anti-asthmatic potential of F. religiosa bark, leaves and fruit extracts but none of them tested their antiviral activity against viruses responsible for the exacerbation of wheezing and asthma.', 'The present study was undertaken to investigate the antiviral activity of F. religiosa L. extracts against respiratory viruses such as human respiratory syncytial virus (RSV) and human rhinovirus (HRV).', 'The antiviral activity of F. religiosa L. was tested in vitro by plaque reduction and virus yield assays and the major mechanism of action was investigated by virus inactivation and time-of-addition assays.', 'F. religiosa L. methanol bark extract was the most active against HRV with an EC50 of 5.52 µg/mL. This extract likely inhibited late steps of replicative cycle. Water bark extract was the most active against RSV with an EC50 between 2.23 and 4.37 µg/mL. Partial virus inactivation and interference with virus attachment were both found to contribute to the anti-RSV activity. Replication of both viruses was inhibited in viral yield reduction assays.
Answer: The results of the present study demonstrate that F. religiosa L. is endowed with antiviral activity against RSV and HRV in vitro. Further work remains to be done to identify the active components and to assess the therapeutic potential in vivo.
|
Do ficus religiosa L. bark extracts inhibit human rhinovirus and respiratory syncytial virus infection in vitro?
| 0
|
NIv2
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task845_pubmedqa_question_generation
|
fs_opt
|
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] |
Given the task definition, example input & output, solve the new input case.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head includes an event or an action in the Tail or not. This happens when the Tail denotes a step within the larger head event. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Example: Head: have conversation<sep>Tail: choose subject to discuss
Output: Yes
This is a good example. The Head includes the event of choosing a subject the Tail.
New input case for you: Head: PersonX bats PersonX's eyelashes<sep>Tail: to eyelashes in the evening
Output:
|
No
| 1
|
NIv2
|
task1211_atomic_classification_hassubevent
|
fs_opt
|
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] |
Q: In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
20353
A:
|
Yes
| 7
|
NIv2
|
task092_check_prime_classification
|
zs_opt
|
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] |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Ex Input:
On my honor.
Ex Output:
على شرفي
Ex Input:
Guess it's what they call a rehearsal.
Ex Output:
خمّن ماذا ، هذا ما يُسمونه التدريب
Ex Input:
Now I've heard of brides getting cold feet. But bridesmaids?
Ex Output:
|
،سمعتُ عن العرائس ذوي الأقدام الباردة لكن الوصيفاتَ؟
| 1
|
NIv2
|
task651_opus100_en_ar_translation
|
fs_opt
|
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] |
Q: In this task, you are given a sentence in Persian, and your task is to translate it into English.
شنیده بود که همچو چیزهایی وجود دارند و حالا دیر یا زود،
A:
|
He had heard of such things, and now, sooner or later,
| 7
|
NIv2
|
task660_mizan_fa_en_translation
|
zs_opt
|
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] |
Detailed Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the topic.
Problem:বলুনত হিন্দু ছেলেরা মদিরের বারেন্দা মদ খায় ও জুয়া খেলে কেন
Solution:
|
non-personal
| 8
|
NIv2
|
task1490_bengali_personal_hate_speech_binary_classification
|
zs_opt
|
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] |
TASK DEFINITION: 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.
PROBLEM: 89. Modulation
SOLUTION: 89. Ukulingisa
PROBLEM: The introduction of economic methods for the liquefaction of natural gas has resulted in natural gas becoming a primary energy source that requires to be transported and which is growing in importance.
SOLUTION: Inkcazo yeendlela zoqoqosho zokunyibilikisa umoya odaliweyo zibe nomphumela wokuba umoya odaliweyo yimvelaphi yamandla okuqala efuna ukuhanjiswa eya ikhula ekubalulekeni.
PROBLEM: The cargo liner is virtually an ocean-going cargo ship.
SOLUTION:
|
Umthwalo wezithuthi zomgca zonxweme zokuhamba komthwalo wezithuthi zenqanawa.
| 8
|
NIv2
|
task872_opus_xhosanavy_translation_eng_xhosa
|
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.
One example is below.
Q: Then, the camel stops and the woman gets down from the camel.
A: A woman rides a camel holding a rode with her right hand while a man pulls the camel.
Rationale: The output mentions that the woman was riding a camel. This is a correct context of the given statement since the woman has to be on the camel to come down from it.
Q: His whole face appears in the frame and you can see him bobbing his head and focusing more on his sound.
A:
|
One of them is slightly smaller than the other and he tends to play that one and only hitting the larger every couple of beats.
| 9
|
NIv2
|
task455_swag_context_generation
|
fs_opt
|
[
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] |
TASK DEFINITION: Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
PROBLEM: Context : Coração de Estudante (English: Student's Heart) is a Brazilian telenovela produced and broadcast by Rede Globo in 2002.
Answer : Rede Globo
SOLUTION: Which original network is part of Coração de Estudante?
PROBLEM: Context : Rose Greely (1883--1969) was an American landscape architect and the first female licensed architect in Washington, D.C.
Answer : female
SOLUTION: Which sex is Rose Greely?
PROBLEM: Context : Christian Fischer (born April 15, 1997) is an American ice hockey forward who was drafted 32nd overall in the 2015 NHL Entry Draft by the Arizona Coyotes, and is currently playing with the Windsor Spitfires.
Answer : Arizona Coyotes
SOLUTION:
|
Player Christian Fischer played for which team?
| 8
|
NIv2
|
task1326_qa_zre_question_generation_from_answer
|
fs_opt
|
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] |
Given the task definition and input, reply with output. A text is given in Oriya. Translate it from the Oriya language to the Tamil language. The translation must not omit or add information to the original sentence.
ଡ଼ିଏସଏଫ ନିଲାମୀ ରାଉଣ୍ଡ୍ 2016 ରେ ମୋଟ 31 ଟି ଚୁକ୍ତିନାମା 46,400 କୋଟି ଟଙ୍କା ରାଜସ୍ୱ ସଂଗୃହୀତ ହେବାର ଆକଳନ: ସରକାରୀ ଅଂଶଧନର ମୂଲ୍ୟ ପ୍ରାୟ 9,300 କୋଟି ଡ଼ିଏସଏଫ ନିଲାମୀ ରାଉଣ୍ଡ୍ 2016 ବିଜିନେସ୍ ଇନ୍ ଇଣ୍ଡିଆ ପୃଷ୍ଠଭୂମୀରେ ଏକ ବଳିଷ୍ଠ ପଦକ୍ଷେପ : ମନ୍ତ୍ରୀ ଧର୍ମେନ୍ଦ୍ର ପ୍ରଧାନ ସରକାର ଏବେ ଡ଼ିଏସଏଫ ନିଲାମୀ ରାଉଣ୍ଡ୍-2 ଦିଗରେ କାର୍ଯ୍ୟ କରୁଛନ୍ତି;
|
சம்பாரண் சத்தியாகிரஹத்தின் வாயிலாக காந்தியடிகளின் ஒருங்கிணைப்புத் திறன், பாரத சமுதாயத்தின் நாடித் துடிப்பைத் தெரிந்து கொள்ளும் ஆற்றல், மிகவும் ஏழைகளாகவும், படிப்பறிவில்லாதவர்களாகவும் இருந்த மக்களை ஆங்கிலேயர்களுக்கு எதிராக உத்வேகப்படுத்தும் சக்தி, போராட்டக் களத்துக்கு அவர்களை வரவழைப்பது ஆகியவை மூலமாக ஒரு அற்புதமான வல்லமையை அவர் வெளிச்சம் போட்டுக் காட்டினார். இன்று நாம் காந்தியடிகளின் மகத்துவம் பற்றி நாம் அறிந்திருக்கிறோம்;
| 5
|
NIv2
|
task1073_pib_translation_oriya_tamil
|
zs_opt
|
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] |
TASK DEFINITION: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
PROBLEM: نحن نترقب ظهور السيارة نسخة ٢.٠ — سوق جديد بالكامل ، نموذج جديد بالكامل للعمل.
SOLUTION: Estamos a assistir ao nascimento do carro 2.0 — todo um novo mercado, um novo modelo de negócio.
PROBLEM: شاهدنا حافلة تتفجر أمام أعيننا.
SOLUTION: Vimos um autocarro explodir à frente dos nossos olhos.
PROBLEM: يبدو هذا جنونيا للغاية.
SOLUTION:
|
Parece uma loucura total.
| 8
|
NIv2
|
task1109_ted_translation_ar_pt
|
fs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must not be associated with any specific word in the question; instead it should depend on the context present in the question. The expected answer should not be equally likely to fill the blank. For your question, there should be a agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use animals or proper nouns (e.g., New York, Macbook, Jeff Bezos, McDonald's, ...) as your objects. 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 Object X and Y have the same number e.g. when ObjectX is singular, Object Y must be singular, too. The two objects (Object X & Object Y) should be used ONCE in your question. Here is a list of attributes and associated pair of contrastive words which may be used to create a valid question using the objects. You can use either of the contrastive words, but not both. You should think about more such attributes and associated words and use them in your question.
| Attribute | triggerword | contrastive triggerword |
| age | old | new |
| altitude | low | high |
| area | small | vast |
| brightness | dark | light |
| clarity | obscure | clear |
| cleanness | dirty | clean |
| complexity | simple | complex |
| cost | cheap | expensive |
| density | sparse | dense |
| depth | shallow | deep |
| distance | near | far |
| electric conductivity | low | high |
| flexibility | rigid | flexible |
| granularity | fine | coarse |
| hardness | soft | hard |
| length | short | long |
| magnitude | small | large |
| mass | small | large |
| odor | weak | strong |
| pressure | low | high |
| resistance | low | high |
| shape | round | sharp |
| shape | flat | spiky |
| size | small | large |
| sound | quiet | loud |
| sound pitch | low | high |
| speed | slow | fast |
| stability | unstable | stable |
| strength | weak | strong |
| temperature | low | high |
| texture | smooth | rough |
| thermal conductivity | low | high |
| thickness | thin | thick |
| volume | small | large |
| weight | light | heavy |
| width | narrow | wide |
| location | in | out |
| location | up | down |
| location | above | below |
| location | on | off |
| location | to | from |
Context Word: black beans.
Output:
|
We always serve black beans, but lately, people have been asking for lima or kidney. I said I would make the _ beans because of their shape.
| 1
|
NIv2
|
task031_winogrande_question_generation_object
|
zs_opt
|
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] |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: Consider Input: The funding has yet to be approved by the Senate.
Output: धनराशि पर सिनेट की स्वीकृति अब भी प्राप्त करनी शेष है।
Input: Consider Input: Following Hungary's release and repatriation of convicted Azeri axe-murderer Ramil Safarov, who Azerbaijan subsequently pardoned, Armenia announced it is "ready for war".
Output: हंगरी की रिहाई और दोषी ऐज़री में कुल्हाड़ी से हत्या करने के दोषी रामिल सफारोव के प्रत्यावर्तन के बाद, जिसे अजरबैजान ने बाद में माफ कर दिया, आर्मेनिया ने घोषणा की कि वह "युद्ध के लिए तैयार है"।
Input: Consider Input: Today Sailors of HMCS York, Cadets of RCSCC 18 Vanguard, Navy League Cadets of NLCC Ark Royal and Air Cadets of 618 Queen City Squadron marched though Downtown Toronto with drums beating, colors flying, and rifles held proudly.
|
Output: आज HMCS यॉर्क के नौसैनिक, RCSCC 18 वैनगार्ड के कैडेट, NLCC आर्क रॉयल के नेवी लीग कैडेट और 618 क्वीन सिटी स्क्वाड्रन के एयर कैडेट ने मार्च किया, हालांकि डाउनटाउन टोरंटो में ड्रम बजाने, रंग उड़ाने और गर्व से राइफलों के प्रदर्शन का आयोजन किया गया।
| 2
|
NIv2
|
task432_alt_en_hi_translation
|
fs_opt
|
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] |
Detailed Instructions: This task is to translate the English language Input to Telugu Language Output
Q: Television Hisense – 60″ Class ...
A:
|
టెలివిజన్ Hisense? - 60 "క్లాస్ ...
| 9
|
NIv2
|
task1616_cc_alligned_translate_eng_tel
|
zs_opt
|
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] |
In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
تلفن از یونانی tele دور و phone آوا، از دستگاههای مخابراتی است که برای انتقال صدا بکار میرود. برخلاف باور عوام، نخستین تلفن را یوهان فیلیپ رایس اختراع کرد. تلفن، فرستادن و دریافت پیام را بدون آن که نیاز به جدولی مانند الفبای مورس باشد ممکن ساخت. با استفاده از تلفن، مردمی که فرسنگها از یکدیگر دورند میتوانند با هم صحبت کنند. امروزه از خطوط تلفن سایر سیگنالها مانند فرکانسهای اینترنت نیز انتقال داده میشود. هر چند که امروزه بیشتر استفاده از تلفن همراه صورت میپذیرد که از نظر مکانیسم عمل با نوع اولیه آن تفاوتهای زیادی دارد. ۱۵سال پیش از گراهام بل، یوهان فیلیپ رایس نخستین مدل تلفن را اختراع کرد اما موفق به ثبت آن نشد. تلفن، پس از اختراع کامل توسط گراهام بل به سرعت گسترش یافت و سیمهای آن از شهری به شهر دیگر کشیده شد. چهارده سال بعد از اختراع تلفن یعنی در سال ۱۸۹۰ میلادی آلمون براون استروجر سیستم تلفن خودکار را بنا نهاد. در سال ۱۸۹۱ ارتباط تلفنی بین شهرهای لیون و تهران برقرار گردید. دو قاره اروپا و آمریکا تحت محاصره شبکهای درآمدند که روز به روز گسترش مییافت.
Question: چه کسی اختراع تلفن را تکمیل کرد؟
|
True
| 0
|
NIv2
|
task396_persianqa_classification
|
zs_opt
|
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0.29656824469566345,
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] |
Instructions: Given a passage, 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.
Input: After formation of the linear heart tube a chamber-specific program of gene expression becomes active that underlies the formation of the chamber myocardium. To assess whether this program is recapitulated in in vitro differentiated embryonic stem cells, we performed qualitative and quantitative analyses of cardiogenesis in vivo and in vitro.', 'Gene expression profiles were made by in situ hybridisation and real-time PCR and electrophysiological profiles by patch clamp analyses of cardiomyocytes derived from time series of differentiating HM1 mouse embryonic stem cells and from embryonic and adult mouse hearts.', 'In embryoid bodies the in situ patterns of expression of alpha-myosin heavy chain, myosin light chain 2a and sarcoendoplasmic reticulum calcium ATPase 2a were similar to that of the heart muscle-specific marker gene cardiac troponin I. Myosin light chain 2v was expressed in part of the cardiac troponin I-expressing area, indicating heterogeneity within the cardiac cell population. Atrial natriuretic factor expression, indicative of the chamber-type program, could only very occasionally be detected by in situ hybridisation. Quantitative reverse transcriptase PCR showed that all cardiac genes, most notably atrial natriuretic factor, were expressed at relatively low levels, similar to those in embryonic hearts at embryonic day 8.75-9. Analysis of the electrophysiological characteristics of embryonic stem cell-derived cardiomyocytes showed an increase of the upstroke velocity and a shorter duration of the action potential during prolonged differentiation in vitro. When embryonic mouse heart compartments of embryonic day 12.5 were used as a reference, the electrophysiological characteristics of a substantial part of the embryonic stem cell-derived cardiomyocytes were most reminiscent to those observed in the embryonic outflow tract.
Output:
|
Do cardiomyocytes derived from embryonic stem cells resemble cardiomyocytes of the embryonic heart tube?
| 3
|
NIv2
|
task847_pubmedqa_question_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 will be presented with a question having multiple possible answers in German language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Die Freunde haben sich um den Tisch versammelt, um Karten zu spielen und was?
Options: A trinken B Spaß haben C erinnern D gelangweilt E gut in
Output:
|
B
| 1
|
NIv2
|
task1138_xcsr_de_commonsense_mc_classification
|
zs_opt
|
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] |
TASK DEFINITION: Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (correct), CASE_DIFF (case error), PUNCUATION_DIFF (punctuation error), CASE_AND_PUNCUATION_DIFF (both case and punctuation error), STEM_BASED_DIFF (stem word error), DIGIT_DIFF (digit error), INTRAWORD_PUNC_DIFF (intra-word punctuation error), and UNKNOWN_TYPE_DIFF (an error that does not corrrespond to the previous categories)].
PROBLEM: ['benito', "mussolini's", 'rise', 'to', 'power', 'in', 'the', 'early', '1920s', 'in', 'Italy', 'is', 'a', 'fairly', 'rapid', 'and', 'from', 'historical', 'perspective', 'fairly', 'surprising', 'one', 'and', 'to', 'give', 'some', 'context', 'as', 'late', 'as', '1915', '1915', 'he', 'had', 'recently', 'been', 'ousted', 'from', 'the', 'Italian', 'Socialist', 'Party', 'based', 'on', 'his', 'dissent', 'over', 'whether', 'Italy', 'should', 'enter', 'the', 'war', 'the', 'Socialists', 'the', 'official', 'stance', 'of', 'the', 'party', 'is', 'that', 'the', 'war', 'World', 'War', 'one', 'is', 'an', 'imperialist', 'war', 'that', 'Italy', 'had', 'no', 'business', 'entering', 'it', 'that', 'Italy', 'should', 'stay', 'neutral', 'but', 'you', 'had', 'more', 'nationalist', 'elements', 'in', 'the', 'party', 'and', 'Mussolini', 'was', 'one', 'of', 'them', 'says']
SOLUTION: ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF']
PROBLEM: ['so', 'I', 'want', 'you', 'to', 'look', 'around', 'the', 'room', 'for', 'a', 'minute', 'and', 'try', 'to', 'find', 'the', 'most', 'paranoid', 'person', 'here', 'and', 'then', 'I', 'want', 'you', 'to', 'point', 'at', 'that', 'person', 'for', 'me', 'okay', "don't", 'actually', 'do', 'it', 'but', 'as', 'an', 'organizational', 'psychologist', 'I', 'spend', 'a', 'lot', 'of', 'time', 'in', 'work', 'places', 'and', 'I', 'find', 'paranoia', 'everywhere', 'paranoia', 'is', 'caused', 'by', 'people', 'that', 'I', 'call', 'takers', 'takers', 'are', 'self-serving', 'in', 'their', 'interactions', "it's", 'all', 'about', 'what', 'can', 'you', 'do', 'for', 'me', 'the', 'opposite', 'is', 'a', 'giver', "it's", 'somebody', 'who', 'approaches', 'most', 'interactions', 'by', 'asking', 'what', 'can', 'I', 'do', 'for', 'you']
SOLUTION: ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF']
PROBLEM: ['let', 'k', 'equal', '', 'six', 'so', 'that', 'f', 'of', 'X', 'is', 'equal', 'to', 'one', 'over', 'x', 'squared', 'minus', 'six', 'x', 'find', 'the', 'partial', 'fraction', 'decomposition', 'for', 'the', 'function', 'f', 'find', 'the', 'integral', 'of', 'f', 'of', 'X', 'DX', 'and', 'so', "let's", 'first', 'think', 'about', 'the', 'partial', 'fraction', 'decomposition', 'for', 'the', 'function', 'f', 'so', 'f', 'of', 'X', 'I', 'could', 'rewrite', 'it', 'where', 'I', 'factor', 'the', 'denominator', 'if', 'i', 'factor', 'out', 'an', 'X', 'I', 'get', 'x', 'times', 'X', 'minus', '6', 'and', 'so', 'I', 'can', 'rewrite', 'this', 'as', 'and', 'this', 'is', 'where', "I'm", 'going', 'to', 'decompose', 'it', 'into', 'partial', 'fractions', 'a', 'over', 'a', 'over']
SOLUTION:
|
['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'INTRAWORD_PUNC_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF']
| 8
|
NIv2
|
task1416_youtube_caption_corrections_incorrect_grammar_classification
|
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 sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
このアイデアはとてもシンプルで
Solution: A ideia é muito, muito simples.
Why? The Japanese sentence is correctly translated into Portugese, because the meaning is preserved.
New input: 嫉妬を感じたとき私たちは自ら物語を語り始めます
Solution:
|
Quando sentimos inveja [ou ciúme], contamos uma história a nós próprios.
| 0
|
NIv2
|
task1099_ted_translation_ja_pt
|
fs_opt
|
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] |
Detailed Instructions: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Problem:मैं उससे मिलूंगी
Solution:
|
When I see her ...
| 8
|
NIv2
|
task1323_open_subtitles_hi_en_translation
|
zs_opt
|
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] |
Teacher:Given a sentence in Chinese, provide an equivalent paraphrased version from the original that retains the same meaning.
Teacher: Now, understand the problem? Solve this instance: 她被他吸引住了，并试图引诱他进入性关系，但是哈万特·辛格在思想上有宗教信仰并没有去乱伦。
Student:
|
她越来越多地被他吸引并试图引诱他进入性关系，但是Hanuvant Singh在思想上是宗教信仰并且没有去乱伦。
| 6
|
NIv2
|
task775_pawsx_chinese_text_modification
|
zs_opt
|
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] |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Let me give you an example: Sentence: 'a white cat on a desk near a computer monitor'. Count the number of vowels in the given sentence.
The answer to this example can be: 16
Here is why: This sentence has 5 occurrences of letter 'a', 4 of 'e', 2 of 'i', 4 of 'o', and 1 of 'u'. This adds up to 16. So, the answer is 16.
OK. solve this:
Sentence: 'the man stands on the beach holding his white surfboard in hand'. Count the number of consonants in the given sentence.
Answer:
|
35
| 8
|
NIv2
|
task157_count_vowels_and_consonants
|
fs_opt
|
[
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] |
Teacher: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Teacher: Now, understand the problem? If you are still confused, see the following example:
شما میتونید این پنگوئن ها رو ببینید اونها حرکت میکنند به اون سیمها نگاه میکنند ولی شبیه اون سیمها نیستند
Solution: אתם רואים שהפינגווין הזה ניגש ומסתכל על החוטים, הוא לא אוהב את החוט הזה.
Reason: The Farsi sentence is correctly translated into Hebrew, because the meaning is preserved.
Now, solve this instance: گهگاهی ، جایزه هایی وجود داشت ، از قبیل آن چه که در قرن ۱۸ام به جان هریسون اعطاء شد ، بخاطر حل کردن به اصطلاح مشکل طول جغرافیایی ، اما جایزه ها در واقع تنها زمانی داده می شدند ، که کار انجام شده بود.
Student:
|
מידי פעם חולקו פרסים, כמו זה שהוענק לג 'ון הריסון במאה ה-18, על כך שפתר את מה שכונה "" בעיית המרחק "", אבל הפרסים ניתנו רק בדיעבד, אם בכלל.
| 2
|
NIv2
|
task1269_ted_translation_fa_he
|
fs_opt
|
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] |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
One example is below.
Q: Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had been shopping for fruit to give Jon.
A: Tom had gone into the store before he was seen by Jon.
Rationale: Tom must have gone into the store to come out of it.
Q: Sentence 1: A Man in a yellow hat is throwing a water balloon. Sentence 2: The balloon is green.
A:
|
The man is throwing something.
| 9
|
NIv2
|
task188_snli_neutral_to_entailment_text_modification
|
fs_opt
|
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] |
Detailed Instructions: 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.
See one example below:
Problem: Context word: upset.
Solution: PersonX yelled at PersonY because _ was so upset about the news.
Explanation: As expected, PersonX and PersonY are mentioned only once in the question. It contains only one blank. Also, the expected answer to this question is PersonX. So, it's a valid question.
Problem: Context Word: extensions.
Solution:
|
After looking at the extensions PersonX helps PersonY because _ knew you can damage the hair.
| 4
|
NIv2
|
task032_winogrande_question_generation_person
|
fs_opt
|
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] |
Instructions: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output.
Input: jump thrice and turn around left twice
Output:
|
I_JUMP I_JUMP I_JUMP I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT
| 3
|
NIv2
|
task126_scan_structured_text_generation_command_action_all
|
zs_opt
|
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0.17616155743598938,
0.12852224707603455,
0.4644433856010437,
-0.4176216423511505,
0.44801566004753113,
-1.743649959564209,
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-0.7669099569320679,
0.9147672057151794,
-0.8553640842437744,
0.1437552571296692,
0.40287405252456665
] |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
آلک گفت که او چندین زن را دیده و شماره تلفن به آنها داده.
|
Alec said he saw several women give their phone numbers to him.
| 5
|
NIv2
|
task1265_ted_translation_fa_en
|
zs_opt
|
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] |
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Input: Consider Input: Sharks can have from five to _ gills.
Output: seven
Input: Consider Input: Aspiny neurons are of _ sizes.
Output: two
Input: Consider Input: Conifer seeds are very complex structures, containing cells from _ generations of the tree.
|
Output: three
| 2
|
NIv2
|
task672_nummersense
|
fs_opt
|
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] |
Definition: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether it is plausible for the Head to desire the Tail or not. In this task, desire means desires of sentient entities. For example, doctors likely desire to cure a patient. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: person<sep>Tail: remembered after death
Output:
|
Yes
| 2
|
NIv2
|
task1213_atomic_classification_desires
|
zs_opt
|
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] |
Given the task definition and input, reply with output. In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.
[218, 149, -622, 596, 155, -578, 694, 80, -172, -890, 970, 438, 413, 100, 912, 710, -82, 11, -482, 740, -872, 21, -188, -937]
|
[11]
| 5
|
NIv2
|
task372_synthetic_palindrome_numbers
|
zs_opt
|
[
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0.48293593525886536,
-0.18483056128025055,
-0.7180773019790649,
0.07251238077878952,
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0.17022234201431274,
-0.21824568510055542,
-0.06724759936332703,
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-0.08154524862766266,
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0.2881499230861664,
0.24138987064361572,
-0.22526434063911438,
0.17828506231307983,
0.5280086994171143,
0.4636116623878479,
0.2866863012313843,
-0.20533671975135803,
-0.34862440824508667,
0.07872223854064941,
0.26101022958755493,
-0.1952669620513916,
0.17778778076171875,
-0.09714130312204361,
-0.23540686070919037,
-0.044604770839214325,
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-0.8706748485565186,
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0.17645005881786346,
-0.30027657747268677,
1.121077537536621,
0.2383054494857788,
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0.1666402369737625,
0.2051742970943451,
0.3632054030895233,
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0.07049493491649628,
0.40506479144096375,
1.1626245975494385,
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0.011033792048692703,
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0.3559400141239166,
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] |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Bezustanne nękanie Hazarów i akcje wymierzone przeciwko nim zmusiły moich rodziców do opuszczenia Afganistanu.
|
آزار و اذیت علیه مردم هزاره پدر و مادر مرا وادار کرد که افغانستان را ترک کنند.
| 0
|
NIv2
|
task1263_ted_translation_pl_fa
|
zs_opt
|
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] |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
و اینها مردمانی هستند که شاید در غیر اینصورت در چادری در اردوگاه پناهندگان در اردن ننشیند.
|
Te osoby mogą nigdy nie doświadczyć siedzenia w namiocie, w obozie uchodźców w Jordanii.
| 5
|
NIv2
|
task1272_ted_translation_fa_pl
|
zs_opt
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] |
Teacher:In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on your judgment.
Teacher: Now, understand the problem? Solve this instance: Her lungs seemed to have collapsed like small crumpled paper wrappers .
Student:
|
Changed
| 6
|
NIv2
|
task515_senteval_odd_word_out
|
zs_opt
|
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] |
Q: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
christopher walken
A:
|
Christopher Walken won the best supporting actor Oscar in 1979 for his role in which film?
| 7
|
NIv2
|
task897_freebase_qa_topic_question_generation
|
zs_opt
|
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] |
Detailed Instructions: You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
See one example below:
Problem: Amsterdam_Airport_Schiphol | runwayName | "09/27 'Buitenveldertbaan'"
Solution: Amsterdam Airport Schipol runway name is 09/27 Buitenvelderbaan.
Explanation: The simplest form of input is a single triple. Here the text describes the relationship in natural language.
Problem: Indiana | language | English_Americans
Solution:
|
In Indiana, the language spoken is American English.
| 4
|
NIv2
|
task1728_web_nlg_data_to_text
|
fs_opt
|
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] |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
--------
Question: Sentence 1: Three children with animal face pain at outdoor event. Sentence 2: The kids were asleep in the backseat of the car.
Answer: The children were having fun at the carnival.
Question: Sentence 1: Several people in a crowded commuter train. Sentence 2: An empty commuter train.
Answer: Several people going to work in a crowded commuter train.
Question: Sentence 1: Two men kickboxing, the man in the red shorts is kicking while the man in the black is blocking. Sentence 2: The man is swimming in the pond with no one in sight.
Answer:
|
The man in the red shorts is a champion kickboxer.
| 7
|
NIv2
|
task185_snli_contradiction_to_neutral_text_modification
|
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.
Prompt: Mary is tired. Mary,
Completion A: changes the tires on her car.
Completion B: Mary.
Completion C: Mary dog tired dog Mary Mary.
Completion D: makes herself a coffee.
|
Completion D
| 0
|
NIv2
|
task156_codah_classification_adversarial
|
zs_opt
|
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