inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Detailed Instructions: In this task, you are given a premise sentence in Persian and a label in English. Label determines whether a hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. You have to generate the hypothesis sentence based on the label and the premise sentence. Your sentence should be fluent and grammatically correct. Even though there exist multiple answers, we only need a single answer.
Q: Premise: بنابراین ، سرانجام ، هنگامی که به آن رسیدید ، به مادرتان چیزی خوب بخرید. <sep> Label: Contradiction
A: | هرگز به مادرتان چیزی خوب نخرید. | 9 | NIv2 | task464_parsinlu_entailment_sentence_generation | zs_opt | [
-1.1385055780410767,
0.46805480122566223,
0.14330819249153137,
0.004030635580420494,
-0.5458073019981384,
-0.28684884309768677,
0.31399908661842346,
0.5700534582138062,
0.496019184589386,
-0.25416693091392517,
-0.5975760221481323,
0.6336578130722046,
-0.6018813848495483,
0.0825887471437454... |
Q: You are given a statement written in Tamil. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: ஆனி மாதம் மகம் நட்சத்திரத்திலிருந்து ஊஞ்சல் உற்சவம். தினமும் மாலை ஆறு மணியிலே இருந்து இரவு ஒன்பது மணி வரைக்கும் நூறு கால் மண்டபத்திலே ஒரே ஊஞ்சலில் சுந்தரேசுவரரோடு மீனாட்சி அமர்ந்து ஊஞ்சலாட, கோயிலின் ஓதுவார்கள், <MASK> பொன்னூஞ்சல் பாடல்களைப் பாட ஊஞ்சல் உற்சவம் நடைபெறுகிறது.
Option A: குமரகுருபரர்
Option B: மாணிக்கவாசகரின்
Option C: மாணிக்கவாசகர்
Option D: அப்பர்
A: | மாணிக்கவாசகரின் | 7 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | zs_opt | [
0.6335397362709045,
1.1353564262390137,
-0.5710324048995972,
-0.14296939969062805,
-0.9345746040344238,
-0.9525350332260132,
-0.7362693548202515,
0.5719873905181885,
-0.2343883216381073,
0.20954632759094238,
-0.04041875898838043,
-0.38214078545570374,
-0.01683012954890728,
-0.0465931631624... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
--------
Question: [[0, -34, 38, 31], [27, -42], [37, -18]]
Answer: [0, -1134, -666]
Question: [[41, -17, 15, -12], [-8, 10, 35, -16], [-22, 1], [-11, 30, 3, -39, -14]]
Answer: [125460, 44800, -22, -540540]
Question: [[30, -33, 1], [27, -33, 50, -32]]
Answer: | [-990, 1425600]
| 7 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
-0.20709973573684692,
0.15941360592842102,
-0.6321518421173096,
-0.08051995933055878,
0.12324756383895874,
-0.141083762049675,
1.473829984664917,
-0.010638696141541004,
-0.3901950716972351,
-0.22851881384849548,
-1.4061534404754639,
0.30511587858200073,
-0.5501546859741211,
-0.245465904474... |
Detailed Instructions: In this task, you will be presented with a question in Persian. Based on the knowledge you need to answer the question, classify the question into "math_and_logic", "literature", or "common_knowledge".
Problem:مخالف کدام کلمه درست نوشته شده است؟
Solution: | literature | 8 | NIv2 | task474_parsinlu_mc_classification | zs_opt | [
-0.4408641755580902,
0.624497652053833,
0.9605244398117065,
-0.40601375699043274,
0.05243983864784241,
-0.9509851932525635,
0.22161515057086945,
-0.07448536157608032,
0.7458962202072144,
-0.6995454430580139,
-0.40383094549179077,
0.01923965848982334,
-0.46813225746154785,
-0.04489788785576... |
Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
Ex Input:
Context: As of the census of 2000, there were 35,100 people, 12,759 households, and 9,071 families residing in the county. The population density was 59 people per square mile (23/km). There were 15,035 housing units at an average density of 25 per square mile (10/km). The racial makeup of the county was 85.8% Race (United States Census), 3.9% Race (United States Census) or Race (United States Census), 1.8% Race (United States Census), 1.0% Race (United States Census), 0.1% Race (United States Census), 5.0% from Race (United States Census), and 2.4% from two or more races. 8.9% of the population were Race (United States Census) or Race (United States Census) of any race. 14.9% were of German people, 12.6% English people, 11.7% Irish people, 8.8% Italian people and 7.3% United States ancestry according to Census 2000. 93.1% spoke English language and 5.1% Spanish language as their first language.
Question: Were there fewer English speakers or Spanish speakers?
Ex Output:
spanish
Ex Input:
Context: Highly conserved sequences at the 5' splice site and branch site of U12-dependent introns are important determinants for splicing by U12-dependent spliceosomes. This study investigates the in vivo splicing phenotypes of mutations in the branch site consensus sequence of the U12-dependent intron F from a human NOL1 (P120) minigene. Intron F contains a fully consensus branch site sequence (UUCCUUAAC). Mutations at each position were analyzed for their effects on U12-dependent splicing in vivo. Mutations at most positions resulted in a significant reduction of correct U12-dependent splicing. Defects observed included increased unspliced RNA levels, the activation of cryptic U2-dependent 5' and 3' splice sites, and the activation of cryptic U12-dependent branch/3' splice sites. A strong correlation was observed between the predicted thermodynamic stability of the branch site: U12 snRNA interaction and correct U12-dependent splicing. The lack of a polypyrimidine tract between the branch site and 3' splice site of U12-dependent introns and the observed reliance on base-pairing interactions for correct U12-dependent splicing emphasize the importance of RNA/RNA interactions during U12-dependent intron recognition and proper splice site selection.
Question: Which is the branch site consensus sequence in U12-dependent introns?
Ex Output:
uuccuuaac
Ex Input:
Context: Work is the use of force to move an object. It is directly related to both the force applied to the object and the distance the object moves. Work can be calculated with this equation: Work = Force x Distance. The equation for work can be used to calculate work if force and distance are known. To use the equation, force is expressed in Newtons (N), and distance is expressed in meters (m). For example, assume that Clarissa uses 100 Newtons of force to push the mower and that she pushes it for a total of 200 meters as she cuts the grass in her grandmothers yard. Then, the amount of work Clarissa does is: Work = 100 N 200 m = 20,000 N m Notice that the unit for work in the answer is the Newton meter (N m). This is the SI unit for work, also called the joule (J). One joule equals the amount of work that is done when 1 N of force moves an object over a distance of 1 m. Q: After Clarissa mows her grandmothers lawn, she volunteers to mow a neighbors lawn as well. If she pushes the mower with the same force as before and moves it over a total of 234 meters, how much work does she do mowing the neighbors lawn? A: The work Clarissa does can be calculated as: Work = 100 N 234 m = 23,400 N m, or 23,400 J The work equation given above can be rearranged to find force or distance if the other variables are known: Force = Work Distance Distance = Work Force After Clarissa finishes mowing both lawns, she pushes the lawn mower down the sidewalk to her own house. If she pushes the mower over a distance of 30 meters and does 2700 joules of work, how much force does she use? Substitute the known values into the equation for force: J Force = 2700 30 m = 90 N Q: When Clarissa gets back to her house, she hangs the 200-Newton lawn mower on some hooks in the garage (see the Figure 1.1). To lift the mower, she does 400 joules of work. How far does she lift the mower to hang it? A: Substitute the known values into the equation for distance:
Question: one joule equals the amount of work that is done when 1 n of force moves an object over a distance of
Ex Output:
| 1 m.
| 1 | NIv2 | task469_mrqa_answer_generation | fs_opt | [
0.6810835003852844,
0.6629384160041809,
-0.5428134799003601,
0.41052764654159546,
1.0071322917938232,
-0.29866814613342285,
0.2799312174320221,
0.8289831876754761,
-0.04781283438205719,
0.09252387285232544,
0.07172290980815887,
0.8687602281570435,
0.370169073343277,
-0.1471497118473053,
... |
Definition: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Input: Person1: I'm afraid it's a bad news for you . There are some problems in your supervised goods .
Person2: Oh , no ! How did this happen . Are you sure ?
Person1: I overheard this information when I passed Arden's office . We got some complaints from consumers yesterday . I am terribly sorry for that .
Person2: My God ! I actually checked them one by one . How could this be ?
Person1: Calm down ! It is useless to act like that . Can we find some solutions ?
Person2: What kind of solution can I have now ? I nearly go crazy now .
Person1: But we still have to find one . Can we find Arden to check whether this is true or not ?
Person2: It seems that I have nothing to do , except this .
Person1: Face the reality . Maybe we can find the way to make up the loss .
Output: | 0 | 2 | NIv2 | task1534_daily_dialog_question_classification | zs_opt | [
0.2956218123435974,
0.38474616408348083,
-0.26642781496047974,
-0.26888522505760193,
0.1896449476480484,
-0.17044320702552795,
0.6822540760040283,
0.15326765179634094,
0.45904964208602905,
-0.27451568841934204,
-0.5066648721694946,
-0.4509705901145935,
-0.6059483289718628,
0.08981792628765... |
Given a sentence in Japanese, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
[Q]: Aguiariはそれを「交通の真っ只中で一人で美しい行動だが、そこには禅の像がある」と述べた。
[A]: 아가이리 (Aguiari)는 그것을 "교통 혼자서는 좋은 행동으로, 그러나 선 (禅) 동상으로는 위로"라고 묘사했습니다.
[Q]: また、連絡機は58機ありましたが、そのうち20機はメッセンジャー専用でした。
[A]: 또한 58 대의 항공기가 연결되었지만이 중 20 대의 항공기가 메신저 전용으로 사용되었습니다.
[Q]: 近隣の一部はサンタクララ郡に併合され、残りはサンノゼの未編入地域で構成されています。
[A]: | 이웃의 일부는 산타 클라라 카운티에 연결되어 있으며 나머지는 산호세의 등록되지 않은 지역으로 구성되어 있습니다.
| 5 | NIv2 | task814_pawsx_japanese_korean_translation | fs_opt | [
-0.8272554278373718,
-0.2125643491744995,
0.12198291718959808,
-0.8682694435119629,
-0.40514329075813293,
-0.20512887835502625,
0.37198564410209656,
0.11809876561164856,
0.10448524355888367,
-0.6175389885902405,
-0.4163690209388733,
0.4286336600780487,
-0.04608187824487686,
0.8804032802581... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Example: Os astrónomos acreditam que cada estrela da galáxia tem um planeta, e especulam que até um quinto deles tem um planeta do tipo da Terra que poderá ter vida, mas ainda não vimos nenhum deles.
Output: Astronomers now believe that every star in the galaxy has a planet, and they speculate that up to one fifth of them have an Earth-like planet that might be able to harbor life, but we haven't seen any of them.
The Portugese sentence is correctly translated into English, because the meaning is preserved.
New input case for you: Mas o que foi surpreendente para nós, e também muito interessante, é que também encontramos bactérias que normalmente habitam sistemas respiratórios superiores.
Output: | But what was surprising to us, and also quite exciting, is we also found bacteria that normally inhabit upper respiratory systems. | 1 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
-0.26288965344429016,
0.5726468563079834,
-0.1977541446685791,
-0.13852715492248535,
0.06545178592205048,
-0.25031059980392456,
-0.33129456639289856,
0.3499123454093933,
0.6101644039154053,
-0.33064916729927063,
-0.2606693208217621,
0.6035251021385193,
-0.311989963054657,
-0.27013242244720... |
You are given a statement written in Malayalam. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
[Q]: Statement: തുടർന്ന് അദ്ദേഹം <MASK> പോയി. അവിടെ സ്പെയിനിലെ രാജകുടുംബവുമായി അടുപ്പമുണ്ടായിരുന്ന ചിത്രകാരൻ ആന്റൻ റഫേൽ മെങ്ങ്സിന്റെ ശിഷ്യത്വം സ്വീകരിച്ചെങ്കിലും ഗുരുവുമായി കലഹിക്കുകയും പരീക്ഷകളിൽ മോശം ഫലങ്ങൾ നേടുകയും ചെയ്തു. 1763-ലും 1766-ലും സുകുമാരകലകളുടെ രാജകീയ അക്കാഡമിയിൽ പ്രവേശനത്തിനായി സ്വന്തം രചനകൾ സമർപ്പിച്ചെങ്കിലും പ്രവേശനം നിഷേധിക്കപ്പെട്ടു.
Option A: മാഡ്രിഡിലേക്ക്
Option B: ഫ്രാൻസിലെത്തി
Option C: റോമിലേക്ക്
Option D: ഫ്രാൻസ്
[A]: മാഡ്രിഡിലേക്ക്
[Q]: Statement: ആദ്യകാല ഗംഗക്കാർ ഹിന്ദു ദൈവമായ വിഷ്ണുവിനെ ആരാധിക്കുന്നവരായിരുന്നു. എന്നിരുന്നാലും ദുർവിനിതനു പുജ്യപാദൻ എന്ന ജൈന ഗുരു ഉണ്ടായിരുന്നു, അദ്ദേഹത്തിന്റെ കൊട്ടാരം നിരവധി ജൈന പണ്ഡിതന്മാരാൽ അലങ്കരിച്ചിരുന്നു. പിൽക്കാല ഗംഗ രാജാക്കന്മാർക്കിടയിൽ ഈ സഹിഷ്ണുത സാധാരണമായിരുന്നു, അവർ പിൽക്കാല നൂറ്റാണ്ടുകളിൽ ജൈനമതത്തിലേക്ക് കടന്നു. കഴിവുള്ള ഒരു യോദ്ധാവും അതുപോലെ അറിവും കലയും ഉള്ള ആളായിരുന്നു ദുർവിനീതൻ. കന്നഡ ഭാഷയിലെ ഗദ്യത്തിലെ ആദ്യകാല എഴുത്തുകാരിൽ ഒരാളായി എ.ഡി. 850-ൽ കന്നഡ ക്ലാസിക്കായ കവിരാജമാർഗയെ പ്രശംസിക്കുന്നുണ്ടെങ്കിലും അദ്ദേഹത്തിന്റെ കന്നഡ രചനകൾ ലഭ്യമല്ല. പ്രശസ്ത സംസ്കൃത കവി <MASK> ഈ കാലയളവിൽ പശ്ചിമ ഗംഗാ കോടതി സന്ദർശിച്ചതായി അറിയപ്പെടുന്നു. ദുര്വിനിതം ഭാരവി തന്റെ കിരതര്ജുനിയ പതിനഞ്ചാം ശതകത്തിൽ (അധ്യായം) വ്യാഖ്യാന എഴുതി. സംസ്കൃത വദ്ദകഥ അല്ലെങ്കിൽ പ്രാകൃത ഭാഷയിൽ ഗുനദ്യ പ്രകാരം യഥാർത്ഥത്തിൽ എഴുതിയ ബ്രിഹത്കഥ വിവർത്തനം. ശബ്ദാവതാരം എന്ന രചനയും അദ്ദേഹം രചിച്ചിട്ടുണ്ട്.
Option A: ഭാരവി
Option B: ഭരവി
Option C: കാജോളുമാണ്
Option D: അമോഘവർഷയുടെ
[A]: ഭരവി
[Q]: Statement: സൺവേ ടൈഹുലൈറ്റിന് മുമ്പ്, ചൈനീസ് സൂപ്പർ കമ്പ്യൂട്ടറുകൾ "ഓഫ് ദി ഷെൽഫ്" പ്രോസസ്സറുകളായിരുന്നു ഉപയോഗിച്ചുകൊണ്ടിരുന്നത്, ഉദാ. ടിയാൻഹെ- ആയിരക്കണക്കിന് <MASK>, എൻവിഡിയ ചിപ്പുകൾ ഉപയോഗിക്കുന്നു, കൂടാതെ ഓപ്പൺ സോഴ്സ് സോഫ്റ്റ്വെയറായ ലിനക്സ് ഓപ്പറേറ്റിംഗ് സിസ്റ്റവും ഉപയോഗിക്കുന്നു. എന്നിരുന്നാലും, ഭാവിയിൽ സാധ്യമായ സാങ്കേതിക നിരോധന നിയന്ത്രണങ്ങൾ ഒഴിവാക്കാൻ, ചൈനക്കാർ അവരുടെ സ്വന്തം പ്രോസസ്സറുകളായ ലൂങ്സൺ, എംപിഎസ് തരം പ്രോസസർ വികസിപ്പിക്കുന്നു.
Option A: ഹെൽസിങ്കി
Option B: എൻവിഡിയ
Option C: ഇന്റൽ
Option D: ചൈനയിൽ
[A]: | ഇന്റൽ
| 5 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
0.47457951307296753,
0.7740037441253662,
-0.06149214506149292,
-0.24610711634159088,
0.5915431380271912,
-0.6175600290298462,
0.7317464351654053,
0.9598593711853027,
-0.015005544759333134,
0.17153066396713257,
0.2604289650917053,
0.46775490045547485,
-0.2629649043083191,
-0.213279217481613... |
Detailed Instructions: Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Problem:Poster: Le Canada doit se lever face l'industrie chimique et protger les abeilles Responser: What can we do? Dowe have to take to the street. Canadians are way too sedate for this. This government is INSANE! Im reapeat: INSANE!
Solution: | Negative | 8 | NIv2 | task823_peixian-rtgender_sentiment_analysis | zs_opt | [
-0.8226995468139648,
0.6245871782302856,
0.24661856889724731,
-0.9464455246925354,
0.21361303329467773,
-0.5349937081336975,
0.9418542385101318,
0.7629289627075195,
0.5572323799133301,
0.35881006717681885,
-0.5851767063140869,
0.022684093564748764,
0.19483482837677002,
-0.261738121509552,
... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
See one example below:
Problem: Comment: your posts shows you are stupid period
Solution: Insult
Explanation: This comment is insult because it is scornful and disrespectful.
Problem: Comment: Trudeau is pro Islamic terrorists . Khadr was almost 16 years old, no baby who came from a family of terrorists. Trudeau has made Canada a laughing stock of any country with half a collective mind. Stupid is as stupid does as Forrest Gump said.
Solution: | Insult | 4 | NIv2 | task328_jigsaw_classification_insult | fs_opt | [
-0.4139595031738281,
0.3938886523246765,
0.8135621547698975,
-0.48447585105895996,
0.24742376804351807,
-0.3497042655944824,
0.9136748909950256,
0.5341120958328247,
0.25349751114845276,
0.431033730506897,
-0.0049261413514614105,
0.009629163891077042,
-0.5398666858673096,
-0.696350395679473... |
Definition: In this task, you're given an input that contains two words, and your task is to predict the correct preposition that connects these two words. Predict the preposition that explicitly conveys both words' meaning, e.g., Word1: king
Word2: fort: "king of fort". Possible prepositions are: "of", "on", "in", "for", "from", "about", and "with".
Input: Word1: room
Word2: tea
Output: | for | 2 | NIv2 | task585_preposition_classification | zs_opt | [
0.31280872225761414,
1.0620218515396118,
0.0047000679187476635,
-0.2898722290992737,
-0.23867058753967285,
-0.6304521560668945,
0.44031208753585815,
0.14988377690315247,
0.27369099855422974,
-0.896205484867096,
-0.8958116769790649,
0.01495168823748827,
-0.9231863617897034,
-0.0440129265189... |
Definition: A text is given in English. Translate it from the English language to the Gujarati language. The translation must not omit or add information to the original sentence.
Input: તેમણે કહ્યું હતું કે, કોઈ વ્યક્તિ માટે એ સમજવું જરૂરી છે કે, કોઈ ફિલ્મની સમીક્ષાને ક્રમમાં કઈ રીતે વાંચવી જોઈએ. આ ઉદ્દેશ પૂર્ણ કરવા માટે આ અભ્યાસક્રમનાં માધ્યમની રીતો બતાવવામાં આવશે.
Output: | Talking about the course, Shri Bhupendra Kainthola, Director, FTII, said that it meets a long-standing demand of cinema critics, film reviewers, film bloggers, research scholars, film academics and just about anyone who has more than ordinary interest in cinema. | 2 | NIv2 | task1080_pib_translation_gujarati_english | zs_opt | [
-0.49506479501724243,
-0.07727456092834473,
0.424238920211792,
0.1396196186542511,
0.43419334292411804,
-0.1066594198346138,
0.9142990112304688,
-0.3617393374443054,
-0.13937006890773773,
-0.19792547821998596,
-0.2683532238006592,
-0.23941722512245178,
-0.8132833242416382,
0.54569315910339... |
You will be given a definition of a task first, then some input of the task.
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
Fact1: Charlie McCready wrest Wendy from childhood friends, Fact2: Wendy Late in receives letter informing her that she 's won full scholarship to parents alma mater summer, Fact3: father had friend at college, Fact4: Charlie visits Wendy at Huttington, Fact5: movie ends with Wendy 's marriage to Bart
Output: | Charlie McCready Bob Crane tries to wrest his daughter Wendy Kathleen Cody from her childhood friends, whom he believes have no ambition. He especially disapproves of her boyfriend, Bart Kurt Russell. Initially he makes a few attempts to bridge the generation gap, but he fails, especially during the surfing scene, where he falls off the surfboard and get washed up. Late in the summer, Wendy receives a letter informing her that shes won a full scholarship to her parents alma mater, Huttington College. Unbeknownst to her, the letter is fake; her father has paid the first years tuition himself, and had a friend at the college send the letter to her. He did this so Wendy would not attend City College with Bart and her other friends. Charlie later visits Wendy at Huttington, and discovers that the college has changed considerably since he attended there. Wendy later discovers his plot, and joins the campus counterculture as a way of getting even. She inadvertently becomes engaged to a hippie artist named Klutch. Charlie attempts to intervene on her behalf, and ends up in a fistfight with Klutch. Fortunately, Wendys boyfriend Bart comes to the rescue. At this point, Charlie learns that Bart had turned down a scholarship to Huttingdon so he could be near Wendy. The movie ends with Wendys marriage to Bart. | 1 | NIv2 | task103_facts2story_long_text_generation | zs_opt | [
0.36337602138519287,
0.9413005113601685,
0.002018104773014784,
-0.09922188520431519,
-0.15467987954616547,
-0.49714529514312744,
-0.06693825125694275,
0.3925785422325134,
0.4074918031692505,
-0.44058704376220703,
-0.7242385149002075,
-0.23634043335914612,
-0.4489852488040924,
0.07664165645... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an adjunct island or as an incorrect representation. A correct representation should be denoted as 'good' while everything else should be denoted as 'bad'. A correct representation of an adjunct island will be a grammatically correct instance of a sentence using an adjunct island. An incorrect representation will be everything else.
Example: Who should the boss fire after seeing HR?
Output: good
The sentence forms an adjunct island.
New input case for you: What have some drivers worn a shawl without finding?
Output: | bad | 1 | NIv2 | task1559_blimp_binary_classification | fs_opt | [
-0.6346312761306763,
0.49571096897125244,
0.27000123262405396,
-0.33252769708633423,
-0.12952396273612976,
-1.077361822128296,
0.3543490767478943,
0.005913411267101765,
0.49543020129203796,
0.12983492016792297,
-0.15805327892303467,
-0.5115779638290405,
-0.15913496911525726,
0.124343827366... |
You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Event:PersonX feels very good. Intent:
Unknown
Event:PersonX commits to PersonY's charge. Intent: 1) to be healthy
Negative
Event:PersonX youngest PersonY president. Intent: 1) to date him
| Unknown
| 0 | NIv2 | task923_event2mind_classifier | fs_opt | [
-0.9017723798751831,
0.16790981590747833,
0.2595638036727905,
-0.39463284611701965,
-0.11253853142261505,
-1.256211280822754,
0.9259373545646667,
0.315260112285614,
0.6475648283958435,
0.24667468667030334,
0.19890160858631134,
0.3955044150352478,
-0.6989251375198364,
-0.1697208285331726,
... |
In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the end sentence choices from (A) and (B), such that the story does not sound complete and coherent, i.e., select an incorrect end sentence.
One example is below.
Q: Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, and turned to gangs. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: The incident caused him to turn a new leaf.
(A) He is happy now. (B) He joined a gang.
A: B
Rationale: As mentioned in fourth sentence, the incident turned a new leaf to Rick's life; so, he must be happy now. Also, he was previously in gang, so, this incident cannot make him to join a gang. So, B is incorrect.
Q: Sentence1: Joe was an amateur prospector. Sentence2: He went out in the hills to look for gold. Sentence3: Instead of gold, he found many small blue and green stones. Sentence4: He gathered them all up to be appraised in town.
(A) Joe hoped the stones were worthless. (B) Joe hoped they were valuable.
A: | A | 9 | NIv2 | task297_storycloze_incorrect_end_classification | fs_opt | [
0.4086863100528717,
0.8140931725502014,
-0.5148131847381592,
-0.05381651967763901,
-0.08215253055095673,
-0.8666908740997314,
0.7307379841804504,
1.2643177509307861,
-0.17159923911094666,
0.24594342708587646,
-0.4900200366973877,
-0.3096112310886383,
-0.47565561532974243,
-0.46885430812835... |
Q: In this task, you are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given question. An incorrect answer should not truthfully answer the given question. A good incorrect answer should be closely related to the content of the paragraph and/or the question so that the readers are forced to read the whole paragraph to infer its [in]correctness. Additionally, an incorrect answer should be of the same semantic type as the given correct answer (e.g., both can be names of locations). If you think the given incorrect answer is good(and incorrect), indicate it by responding "Yes". Otherwise, respond "No". There are only two types of responses possible:"Yes" and "No".
Paragraph- Sent 1: The series starts in Baghdad at an undetermined time .
Sent 2: The Sultan Shahryar has gone mad after accidentally killing his wife during a failed coup d' tat , which she had planned with Shahryar 's brother Schahzenan .
Sent 3: In his madness , Shahryar believes that all women now want to kill him , but the law states that the Sultan must be married again or the throne will be passed to his brother .
Sent 4: Shahryar therefore orders Grand Vizier Ja'Far ( ( ( Jim Carter to bring him a harem girl to marry and then have executed the next day .
Sent 5: In order to prevent this , the Grand Vizier 's clever daughter , Scheherazade , decides to marry the Sultan herself .
Sent 6: Scheherazade has a plan to prevent her execution and at the same time cure the Sultan of his madness .
Sent 7: With the help of some tutoring from a bazaar storyteller , Scheherazade tells the Sultan a story every night , stopping at dawn with a cliffhanger and refusing to continue until dusk .
Sent 8: Shahryar must therefore let Scheherazade live for another day in order to hear the rest of the story .
Sent 9: Cunningly , Scheherazade has hidden a moral within every story , to bring the Sultan out of his madness .
Sent 10: Meanwhile , Schahzenan hears about the Sultan 's madness and that he is unable to execute Scheherazade .
Sent 11: Perceiving this as weakness , Schahzenan leads his army to Baghdad in an attempt to take the throne by force .
Sent 12: However , by the time Schahzenan 's army reaches the city , Scheherazade 's plan has worked .
Sent 13: As a result of her stories , Shahryar has overcome his madness and has fallen in love with Scheherazade .
Question: Shahryar has overcome his madness when who's army makes it to the city?
Incorrect Answer: His brother Schahzenan's.
A: | Yes. | 7 | NIv2 | task057_multirc_classify_incorrect_answer | zs_opt | [
0.35771825909614563,
0.620655357837677,
-0.6798927783966064,
-0.31157246232032776,
0.7458844184875488,
-0.1486324518918991,
1.0468047857284546,
0.764177680015564,
0.3573512136936188,
0.1416339874267578,
-0.6152653098106384,
0.15032869577407837,
-1.4543399810791016,
-0.18019814789295197,
... |
Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Example: Stimulating the mind helps the brain to grow essential neural cells .
Example solution: Stimulating the learning helps the brain to grow new neural cells .
Example explanation: 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 growing essential neural cells and the changes in the sentence follows the commonsense knowledge.
Problem: You are unfit to paint a gorilla in a church .
| Solution: You are ok to crack a lamb in a church . | 5 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
-0.277113139629364,
0.4302794933319092,
0.12774184346199036,
-0.24034857749938965,
-0.32210278511047363,
-1.0070359706878662,
0.2936083674430847,
0.5853499174118042,
0.5928916931152344,
-0.6033097505569458,
-0.4394588768482208,
-0.044655054807662964,
-1.0178391933441162,
0.2840979397296905... |
Instructions: This task is to translate the English language Input to Telugu Language Output
Input: Never drop the ball
Output: | ఎన్నడూ ముఖ్యమైన అంశాలను కోల్పోవద్దు | 3 | NIv2 | task1616_cc_alligned_translate_eng_tel | zs_opt | [
0.14038679003715515,
0.8998359441757202,
-0.08004412055015564,
0.4953386187553406,
0.4372521936893463,
-0.9033254384994507,
0.49734780192375183,
-0.0404207818210125,
-0.4018687903881073,
-0.5915391445159912,
0.03426364064216614,
0.31085318326950073,
-0.7948331832885742,
0.10638301074504852... |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
Let me give you an example: It's sort of the biggest TiVo box you've ever seen.
The answer to this example can be: To największa nagrywarka, jaką w życiu widzieliście.
Here is why: The English sentence is correctly translated into Polish, because the meaning is preserved.
OK. solve this:
It's called "" The Country. "" (Video) Narration: "" The Country. "" I wondered about you when you told me never to leave a box of wooden strike-anywhere matches just lying around the house, because the mice might get into them and start a fire.
Answer: | Wiersz nazywa się "" Wieś "". (Wideo) Narracja: "" Wieś "". Dziwiłem ci się gdy mówiłeś, żebym nigdy nie zostawiał pudełka zapałek sztormowych w pobliżu domu bo myszy mogą się do nich dostać i wzniecić pożar. | 8 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
0.1197214275598526,
0.48459547758102417,
-0.05485638231039047,
0.24621883034706116,
0.46903443336486816,
-0.11197737604379654,
1.0494894981384277,
-0.49986332654953003,
-0.7890363931655884,
0.08168092370033264,
0.14201344549655914,
0.5501875877380371,
-0.8787625432014465,
0.321646511554718... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Ex Input:
The place that I live is quieter than the area that my mom lives, because the _ is in the countryside. (A) place (B) area
Ex Output:
A
Ex Input:
Tom wanted to learn to play the ukulele instead of the guitar because the _ was unique. (A) ukulele (B) guitar
Ex Output:
A
Ex Input:
Jennifer wanted Lindsey to go ahead and drink the water because _ wasn't feeling well and had an upset stomach. (A) Jennifer (B) Lindsey
Ex Output:
| A
| 1 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
0.11964011192321777,
0.578722357749939,
-0.26440364122390747,
-0.8719679713249207,
0.008331842720508575,
-0.9480673670768738,
0.5498069524765015,
0.7646441459655762,
0.8641624450683594,
0.2755487263202667,
0.13208304345607758,
0.05783567950129509,
-0.04284677654504776,
-0.8348223567008972,... |
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.
One example: इससे देश भर से तथा अन्य स्थानों से भी पर्यटकों का ज्यादा आगमन होगा और वे स्टेच्यू ऑफ यूनिटी की अपनी यात्रा अधिक सुविधाजनक एवं शीघ्रता से कर पाएंगे।
Solution is here: This will be more arrival of tourists from all over the country and from other places and they will be able to do their own travel of Statue of Unity more convenient and quickly.
Explanation: Correct translation for given sentence. Input sentence means 'This will be more arrival of tourists from all over the country and from other places and they will be able to do their own travel of Statue of Unity more convenient and quickly.' which is the same as the output sentence.
Now, solve this: यात्रियों की सुविधा और सुरक्षा के स्तर में सुधार लाने के लिए ऑटोमेटिक डोर ऑपरेशन सहित एयरकंडीशन युक्त कोच शामिल किए जाएंगे।
Solution: | introduction of air-conditioned coaches with automatic door operation to improve comfort level and safety of commuters. | 6 | NIv2 | task1024_pib_translation_hindi_english | fs_opt | [
-0.19967880845069885,
0.3461493253707886,
0.19345194101333618,
0.16309696435928345,
0.28054699301719666,
-0.9446046948432922,
-0.27584826946258545,
0.7644730806350708,
-0.23357734084129333,
0.2709677219390869,
-0.16860279440879822,
0.028729118406772614,
-0.037773385643959045,
-0.0544964075... |
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Debemos votar a favor de una política de las aguas sostenible como punto de partida y al mismo tiempo demostrar que somos realistas.
The European Parliament must now opt for a sustainable water policy as a starting point and remain realistic at the same time.
La extensión de la iniciativa LEADER a todas las zonas de la Unión encierra un peligro aún mayor de marginar las regiones menos favorecidas en beneficio de las más desarrolladas.
Extending the LEADER initiative to every area in the Union entails the risk of marginalising deprived areas even more, to the benefit of more developed areas.
Esta situación encuentra respuestas específicas en muchos sectores económicos, pero sobre todo en la agricultura.
| This situation is loudly echoed in many sectors of the economy, and especially in the agricultural sector.
| 0 | NIv2 | task531_europarl_es_en_translation | fs_opt | [
-0.894150972366333,
0.5388196706771851,
0.17189061641693115,
-0.48614418506622314,
-0.3277486264705658,
-0.9009287357330322,
0.19488470256328583,
0.6702221035957336,
0.022405460476875305,
0.24569620192050934,
0.2837759554386139,
0.41097092628479004,
-0.5910316705703735,
-0.5830074548721313... |
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 a question in Persian, and your task is to translate it into English.
چرا کورا سؤال کاملاً معنادار من را علامت گذاری می کند «به پیشرفت نیاز دارد»
Solution: Why does Quora mark my perfectly semantic question as, "Needs Improvement"?
Why? This is a good example. The above sentence is correctly translated from Persian to English.
New input: چگونه می توانید برای دستیابی به نیروانا از همه چیز دست بکشید ، همانطور که در بودیسم ذکر شده؟
Solution: | How do you renounce everything to attain Nirvana as mentioned in Buddhism? | 0 | NIv2 | task653_parsinlu_fa_en_translation | fs_opt | [
-0.005992654245346785,
0.6386622190475464,
-0.14492826163768768,
-0.28461360931396484,
-0.7994918823242188,
-0.08762721717357635,
0.896823525428772,
0.20471489429473877,
0.5696970820426941,
-0.5144622921943665,
0.0007468806579709053,
0.2629851698875427,
-0.7336758971214294,
0.5788406729698... |
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 can be characterized by being or having the Tail or not. Being characterized usually describes entities' general characteristics such as rose is red, or subjective attributes such as thirst is uncomfortable. It can also map to descriptors that speak to the substance or value of items such as meat has the property of being stored in the freezer or bike is powered by a person's legs. 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: water<sep>Tail: effect of making things wet
Solution: Yes
Why? This is a good example. The water can be characterized by making things wet.
New input: Head: PersonX accepts the invitation<sep>Tail: grateful
Solution: | No | 0 | NIv2 | task1212_atomic_classification_hasproperty | fs_opt | [
0.30499324202537537,
0.3541741967201233,
0.06947824358940125,
0.018227342516183853,
-0.20975393056869507,
-0.9274185299873352,
1.1506274938583374,
0.9838867783546448,
-0.7082711458206177,
-0.005598994437605143,
-0.4346383213996887,
-0.2369012087583542,
-0.2772443890571594,
-0.0734963268041... |
Definition: You are given a passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be answered correctly without actually understanding the paragraph.
Input: Live with your choice. That is what life is all about. If you feel like you need additional time to kick yourself in the butt, do so. Learn to express your regret, write it if you cannot speak to anyone about it.\nYou do not have to go through this alone. Pay attention to those around you and you can find help.\nTime will pass. This is not the end of the world, it just may seem that way now.
Output: | How do you find the will to live when all you can feel is regrets and emptiness inside? | 2 | NIv2 | task1594_yahoo_answers_topics_question_generation | zs_opt | [
0.6716272830963135,
1.0633904933929443,
-0.1018613800406456,
0.8341413736343384,
-0.008418194949626923,
-0.5345076322555542,
0.9240606427192688,
0.20829129219055176,
-0.19000187516212463,
0.3008924722671509,
-0.5218458771705627,
0.1410648077726364,
-0.5884064435958862,
0.5770931243896484,
... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Polish.
We all were at that age.
A: | Wszyscy tacy byliśmy w tym wieku. | 7 | NIv2 | task1092_ted_translation_en_pl | zs_opt | [
0.660118043422699,
0.9242366552352905,
-0.22890427708625793,
-1.1533586978912354,
-0.16515780985355377,
-1.1569409370422363,
0.38298410177230835,
-0.48763129115104675,
1.392503023147583,
-0.25942113995552063,
0.10048902034759521,
0.48994171619415283,
-0.7939317226409912,
0.3108707964420318... |
Instructions: Given an abstract of a paper, generate a title for this paper such that conveys the key focus of the paper.
Input: Abstract: Liver biopsy specimens (178 percutaneous and 39 transjugular) were assessed from 217 consecutive patients with alcoholic liver disease, 77 noncirrhotics and 140 cirrhotics, whose cases were followed for 5 yr. Cirrhotic patients were categorized into two groups, with and without "hepatitis" using a criteria to define "hepatitis" that included only degrees of inflammation, necrosis, and Mallory bodies that had a prognostic weight in terms of mortality in 1 yr. This classification resulted in a sharp separation between a group of 42 patients with cirrhosis without "hepatitis" and with low mortality, both at 1 yr (7.1% +/- 4.0%) and at 5 yr (31% +/- 7%), and another group of 98 patients with cirrhosis and "hepatitis" and a high mortality both at 1 yr (26.5% +/- 4.5%, p less than 0.01), and at 5 yr (47% +/- 5%, p less than 0.02). Importantly, the 1-yr mortality in patients with cirrhosis and no "hepatitis" was not statistically different from that of patients with no cirrhosis or "hepatitis" (most of whom had only fatty liver) both at 1 yr (6.9% +/- 3.3%) and at 5 yr (24% +/- 6%). There were marked differences in several variables between cirrhosis with and without "hepatitis" [combined clinical and laboratory index: no "hepatitis": 4.9 +/- 0.7, with "hepatitis": 7.8 +/- 0.5, p less than 0.01; score of collagen in space of Disse: no "hepatitis": 2.1 +/- 0.4, with "hepatitis": 3.7 +/- 0.3, p less than 0.01; hepatocyte cross-sectional surface area: no "hepatitis": 682 +/- 51 micron 2, with "hepatitis": 841 +/- 31 micron 2, p less than 0.01]. These findings were more severe in the transjugular group than in the percutaneous group. Collagen in the space of Disse and hepatocyte surface area were not statistically different when cirrhosis without "hepatitis" was compared with a similar no "hepatitis" group of patients having noncirrhotic alcoholic liver disease. In this patient sample the presence of parenchymal nodules and fibrous septa, per se, did not result in an increase in mortality with respect to alcoholic patients without cirrhosis and with no "hepatitis."
Output: | Prognosis of alcoholic cirrhosis in the presence and absence of alcoholic hepatitis. | 3 | NIv2 | task619_ohsumed_abstract_title_generation | zs_opt | [
0.6613153219223022,
0.08350621908903122,
-0.6967821717262268,
0.2516302764415741,
0.9152857065200806,
-0.6612557768821716,
0.47018977999687195,
0.6625076532363892,
0.3495851159095764,
0.6317213177680969,
0.2234281599521637,
0.39779120683670044,
-0.8247896432876587,
0.7899521589279175,
0.... |
You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
One example: Our friends won't buy this analysis, let alone the next one we propose.
Solution is here: 1
Explanation: Since all the entities are in thier correct positions the statement is grammatically correct.Hence, the output is 1.
Now, solve this: Cheryl stood the books next to the magazines.
Solution: | 1 | 6 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | fs_opt | [
-0.559217095375061,
0.8248118162155151,
0.29884272813796997,
-0.3569844365119934,
0.5725951194763184,
-1.0025177001953125,
0.5216860771179199,
0.4178823232650757,
0.33035778999328613,
-0.23449194431304932,
-0.5303356647491455,
-0.8269984722137451,
-0.4893723726272583,
-0.8152695894241333,
... |
You are given a statement written in Malayalam. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Q: Statement: 57--ാമത് കേരള സംസ്ഥാന സ്കൂൾ കലോത്സവം <MASK> വെച്ചാണു നടന്നത്. 2017 ജനുവരി 16 മുതൽ 22 വരെയായിരുന്നു കലോത്സവം. 232 ഇനങ്ങളിലായി ഏതാണ്ട് 12000 ഓളം പ്രതിഭകൾ ഈ കലോത്സവത്തിൽ പങ്കെടുത്തു. 939 പോയിൻറുമായി കോഴിക്കോട് ഒന്നാം സ്ഥാനവും, 936 പോയിൻറ് നേടി പാലക്കാട് രണ്ടാം സ്ഥാനവും 933 പോയിൻറോടെ ആതിഥേയരായ കണ്ണൂർ മൂന്നാം സ്ഥാനവും നേടി വിദ്യാഭ്യാസമന്ത്രി സി. രവീന്ദ്രനാഥ്, തുറമുഖ പുരാവസ്തു വകുപ്പ് മന്ത്രി കടന്നപ്പള്ളി രാമചന്ദ്രൻ, പ്രതിപക്ഷ നേതാവ് രമേശ് ചെന്നിത്തല എന്നിവർ സമാപന ചടങ്ങിൽ പങ്കെടുത്തു. വിജയികൾക്ക് സമ്മാനങ്ങൾ നൽകി. പ്രശസ്ത മാന്ത്രികൻ ഗോപിനാഥ് മുതുകാടും സമാപന ചടങ്ങിൽ പങ്കെടുത്തിരുന്നു.
Option A: കാഞ്ഞങ്ങാടു
Option B: കണ്ണൂരിൽ
Option C: എറണാകുളത്ത്
Option D: കോഴിക്കോട്ടേക്ക്
A: | കണ്ണൂരിൽ | 4 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | zs_opt | [
0.2388959527015686,
1.026620864868164,
0.27581363916397095,
-0.9910135269165039,
0.2852845788002014,
-0.599064826965332,
-0.8399744033813477,
0.3417072892189026,
-0.6040230989456177,
0.29414862394332886,
0.509773313999176,
0.7790802121162415,
-0.28020423650741577,
0.5197963714599609,
-0.... |
You will be given a definition of a task first, then some input of the task.
You are given a statement written in Hindi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: इस संगठन में सम्मिलित होने के लिये यह आवश्यक है कि कोई भी वर्तमान सदस्य प्रस्तावित देश के लिये आपत्ति न जतलाये। सन् 2015 में <MASK> की सदस्यता को इटली ने रोक लिया था, हालांकि 2016 में भारत के विरुद्ध कोई आपत्ति न आने से उसकी सदस्यता का मार्ग सरल हो गया है। चीन ने सन् 2004 में सदस्यता के लिये अर्ज़ी रखी थी लेकिन पाकिस्तान, साउदी अरब और अन्य कुछ देशों के साथ उसकी ढीली निर्यात प्रक्रियाओं के सम्बन्ध में उठती रही आपत्तियों के कारण उसे रोका जाता रहा है।
Option A: इटली
Option B: जर्मनी
Option C: भारत
Option D: बेल्जियम
Output: | भारत | 1 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | zs_opt | [
0.3787844479084015,
0.8645176291465759,
-0.25518158078193665,
0.3806169033050537,
0.13058999180793762,
0.0862477496266365,
0.8231220245361328,
0.8860304355621338,
0.23193350434303284,
0.3961559534072876,
-0.2940479815006256,
-0.1606602966785431,
0.01039382815361023,
0.05799529701471329,
... |
You will be given a definition of a task first, then some input of the task.
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sentences that contain no information that is necessary to answer the question). Sort the sentence numbers in an increasing order (i.e., '1, 2', instead of '2, 1'). Your answer should not contain anything than the sentence numbers separated by a comma (e.g. '1, 2, 3, 4'). The given question requires more than one sentence to answer. So, your answer must contain at least one comma (", ").
Paragraph- Sent 1: The dermis is the inner layer of skin.
Sent 2: The dermis has blood vessels and nerve endings.
Sent 3: The nerve endings explain why your skin is sensitive.
Sent 4: You can sense pain, pressure, and temperature.
Sent 5: You cut your finger and it starts to bleed.
Sent 6: What has happened?
Sent 7: If your skin bleeds, it means you have cut the dermis layer and damaged blood vessels.
Sent 8: The cut really hurts.
Sent 9: It hurts because of the nerve endings in this skin layer.
Sent 10: The dermis also contains hair follicles and two types of glands.
Sent 11: Hair follicles are structures where hairs originate.
Sent 12: Each hair grows out of a follicle.
Sent 13: Hair passes up through the epidermis.
Sent 14: It then extends above the skin surface.
Sent 15: Oil glands produce an oily substance.
Sent 16: The oil is secreted into hair follicles.
Question: Why does the cut really hurt?.
Output: | 2, 8, 9. | 1 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
0.000054205069318413734,
0.5403510928153992,
-0.5637480616569519,
-0.28390783071517944,
0.0037855985574424267,
-1.0802152156829834,
0.7083967328071594,
0.9957318902015686,
0.2900569438934326,
0.2756292521953583,
-0.23190750181674957,
0.22067028284072876,
-0.48376062512397766,
0.09443650394... |
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provides more information about the story's context. The original ending is the last three sentences of the story. Also, you are given a new ending that can provide the new story with the same premise. You should write a counterfactual context to explain the small differences between the original and new endings. More specifically, a story context contains the general plot of the story. And a counterfactual context is a slight modification to the initial context. To sum up, you should write the second sentence of a story based on the premise(first sentence) and the new ending(last three sentences) of the story.
Premise: Denise liked to bake and give out food.
Initial Context: She was known for handing out cupcakes to neighborhood children.
Original Ending: One weekend, she left her cupcakes on the windowsill to cool. A stray cat found the cupcakes and knocked them all to the ground. She didn't have any cupcakes to give to the kids that weekend.
New ending: One weekend, she left her cupcakes on the windowsill to cool. A stray cat found the cupcakes and knocked them all to the ground She didn't have any cupcakes to sell to the kids that weekend | She was known for selling out cupcakes to neighborhood children. | 0 | NIv2 | task270_csrg_counterfactual_context_generation | zs_opt | [
0.371113121509552,
0.16326576471328735,
0.5192111730575562,
0.34787070751190186,
0.19605419039726257,
-0.6196020245552063,
-0.5095270872116089,
0.9860858917236328,
-0.28291600942611694,
0.07948087900876999,
-0.32182326912879944,
-0.4058536887168884,
-0.39893612265586853,
0.1593150943517685... |
Detailed Instructions: You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
See one example below:
Problem: Personality: I like spending time with my friends and family.
I like listening to all genres of music except country music.
I like to read a lot of books.
Chat history: -Hi.
-Hey how are you?
-Good and yourself?
-Good, just listening to music and hanging out with my family.
-What do you do for a living?
-I am a teacher. How about you?
-I'm a vet at the animal shelter.
-That is awesome, what do you like to do for fun?
-I love running. Its my way to detox.
-Running is great. Do you have any other hobbies?
-Not really... what do you teach?
-I teach reading, I love books and helping children learn how to read.
-Where are you from?
Candidates 1) Care to chat with a hamburger lover? Its my fav food. 2) I bet that is a great place to draw. I sell art for a living. 3) I am from Illinois, how about you? 4) They're great pets! I just started an organic only diet.
Solution: I am from Illinois, how about you?
Explanation: The third choice is the best answer to the last part of the conversation, that asks where the person is from.
Problem: Personality: My father works in advertising agency.
I love Youtube.
I enjoy making lets plays.
I've my own channel.
Chat history: -Hello how are you.
-I am well. Busy day at school. How are you?
Candidates 1) They are. Perfect for my attic located in Portland or. 2) I guess I should start thinking that way too. What is your name? 3) I'm well. Working on my channel on Youtube. 4) Yeah, as a middle school teacher.
Solution: | I'm well. Working on my channel on Youtube. | 4 | NIv2 | task1730_personachat_choose_next | fs_opt | [
-0.12063547968864441,
0.09285993129014969,
-0.4145292341709137,
-0.16950273513793945,
-0.3508269786834717,
-0.007579307071864605,
0.6391214728355408,
0.47250521183013916,
-0.6999040842056274,
-0.21894586086273193,
-0.07577244192361832,
-0.11459153145551682,
-0.22970087826251984,
-0.2712156... |
Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Input: E ao final averiguamos como facelo.
Output: | ついにその回収方法を見つけました | 2 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-0.26759687066078186,
0.3459996283054352,
0.43555599451065063,
-0.4877210259437561,
0.12363936007022858,
-0.7943916320800781,
0.42857125401496887,
-0.01320800743997097,
-0.19861918687820435,
-0.038113098591566086,
-0.12326100468635559,
0.283182293176651,
-0.5710347890853882,
0.631524920463... |
You will be given a definition of a task first, then some input of the task.
This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage.
J. Barrie Jones suggests that "amongst the works that Chopin intended for concert use, the four ballades and four scherzos stand supreme", and adds that "the Barcarolle Op. 60 stands apart as an example of Chopin's rich harmonic palette coupled with an Italianate warmth of melody." Temperley opines that these works, which contain "immense variety of mood, thematic material and structural detail", are based on an extended "departure and return" form; "the more the middle section is extended, and the further it departs in key, mood and theme, from the opening idea, the more important and dramatic is the reprise when it at last comes."
Output: | What piece does J. Barrie Jones pinpoint as a great example of Chopin's palette? | 1 | NIv2 | task074_squad1.1_question_generation | zs_opt | [
0.6812835931777954,
0.6563778519630432,
-0.2628927230834961,
0.2778668999671936,
0.5188257098197937,
-0.27259010076522827,
1.3105664253234863,
0.2647157907485962,
0.11973296105861664,
-0.0005051312036812305,
0.01183952484279871,
-0.11505095660686493,
-0.4809957444667816,
0.1901462823152542... |
Teacher:In this task, you are given a sentence in Persian, and your task is to translate it into English.
Teacher: Now, understand the problem? Solve this instance: بنابراین سرش را بالا نکرد تا قطرهی درشت اشکی را که بیاختیار روی کاغذ وصیتنامه چکید ببیند.
Student: | and did not look up till a great tear dropped on the paper. | 6 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
-0.3715304434299469,
0.6730957627296448,
0.6517900228500366,
-0.6445512771606445,
-0.320479154586792,
-0.13376909494400024,
0.9897034168243408,
0.17025749385356903,
0.13755670189857483,
-0.33650678396224976,
0.3232828676700592,
0.011718515306711197,
-0.5848772525787354,
0.3604193329811096,... |
Given the task definition, example input & output, solve the new input case.
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Example: Preheat oven to 375 degrees., Boil syrup, sugar and shortening over medium heat, stirring constantly., Remove from heat., Gradually stir in flour and nuts., Drop by teaspoonfuls about 3 inches apart on lightly greased cookie sheet., Bake 5 to 6 min., Remove from oven and let stand 5 min, before removing from sheet., May be rolled into cylindrical shape while still hot., If cooled too much, return to oven for a minute., Yield: 4 dozen cookies.
Output: flour, nuts, corn syrup, shortening, brown sugar
This is a good example, as we see the NER is generated correctly from the directions.
New input case for you: Mix cake mix, egg and margarine and press into loaf pan or casserole dish., Mix with mixer, cream cheese, 2 eggs, vanilla and box of sugar until well blended., Spread over cake mixture., Bake at 350° for 1 hour., Be sure to cool before slicing.
Output: | egg, margarine, cream cheese, eggs, vanilla, sugar | 1 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.1633341908454895,
0.6016361117362976,
0.005770813673734665,
0.3166573941707611,
-0.2014826089143753,
0.36822786927223206,
0.12827056646347046,
0.8454824686050415,
-0.6043356657028198,
0.06372012943029404,
0.40800368785858154,
-0.4600897431373596,
0.01980104297399521,
-0.3087557554244995,... |
Given the task definition and input, reply with output. In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Are turbine entry temperatures or condenser temperatures higher in the Rankine cycle?, Context: The efficiency of a Rankine cycle is usually limited by the working fluid. Without the pressure reaching supercritical levels for the working fluid, the temperature range the cycle can operate over is quite small; in steam turbines, turbine entry temperatures are typically 565 °C (the creep limit of stainless steel) and condenser temperatures are around 30 °C. This gives a theoretical Carnot efficiency of about 63% compared with an actual efficiency of 42% for a modern coal-fired power station. This low turbine entry temperature (compared with a gas turbine) is why the Rankine cycle is often used as a bottoming cycle in combined-cycle gas turbine power stations.[citation needed]
| turbine entry temperatures | 5 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.2579829692840576,
0.37163373827934265,
-0.7757646441459656,
0.4082159101963043,
-0.3568670153617859,
-0.7345417737960815,
0.1356734037399292,
0.4587858021259308,
0.17527753114700317,
0.21704253554344177,
-0.40565377473831177,
-0.3084498643875122,
-0.614936113357544,
0.30931520462036133,
... |
Given the task definition and input, reply with output. This task is about translating a given Spanish language sentence to English.
Así que compramos un hotel abandonado cerca de Ciudad del Cabo.
| So we bought a derelict hotel near Cape Town. | 5 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-0.20957088470458984,
1.1671576499938965,
0.1242714673280716,
-0.24204787611961365,
-0.44380372762680054,
-0.4876229465007782,
0.23527517914772034,
0.7736607789993286,
0.1067797839641571,
-0.20301313698291779,
-0.09958221018314362,
0.5566976070404053,
-0.8961603045463562,
-0.07610426843166... |
Definition: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Input: 1, 3, ['2717', '7405', '5647', '1501']
Output: | 2717, 7405, 5647 | 2 | NIv2 | task091_all_elements_from_index_i_to_j | zs_opt | [
-0.4668077826499939,
0.10237054526805878,
-0.7486947774887085,
-0.20960205793380737,
0.1219816654920578,
-0.851145327091217,
0.5170577764511108,
-0.3499807119369507,
-0.28680700063705444,
0.00142864347435534,
-0.8993509411811829,
0.06524728983640671,
0.2840730547904968,
-0.3174164891242981... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
Example input: Comment: i am just sorry that khadr didnt get a bullet in the head before he blew the head off that innocent father because his islamic boogie skywizard told him to.
Example output: Toxic
Example explanation: This is a toxic comment because it advocates acts of violence.
Q: Comment: I hope those rigid young people that like the Traditional Latin Mass will be listened to.
A: | Non-toxic | 3 | NIv2 | task327_jigsaw_classification_toxic | fs_opt | [
-0.34074097871780396,
0.6638702154159546,
0.36261841654777527,
-0.08060569316148758,
-0.23885893821716309,
-0.6678489446640015,
1.1047230958938599,
0.21773391962051392,
0.39580416679382324,
0.9191457033157349,
0.09890370070934296,
0.058471839874982834,
-0.979195773601532,
-0.65848010778427... |
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Consider Input: Japanese: ベーティは既婚者に対し、彼らのパートナーについての知識をテストし、どのカップルが互いを良く知っているかを調べるテレビ番組に500回出演した。
Thai: เดนนิส ลี ฮอปเปอร์ เกิดเมื่อวันที่ 17 พฤษภาคม 1936 ในเมืองดอร์จ แคนซัส
Output: No
Input: Consider Input: Japanese: そのチームスターの弁護士はエドモントン出身だが、1991年以来バンクーバー界隈に住んでいる。
Thai: การตามล่านายเบิร์ดนั้นได้คลุมถึง เขตบูท หรือบริเวณสคาเฟลล์ ไพค์ และเมื่อเวลา 14:04 น. ตามเวลาฤดูร้อนอังกฤษ (13:04 น. ตามเวลาสากลเชิงพิกัด) ผู้บังคับบังชากรมตำรวจของมณฑลคัมเบรียได้รายงานว่า ศพที่เชื่อว่าคือนายเบิร์ดนั้นถูกพบในป่าใกล้กับเขตบูทพร้อมอาวุธ ซี่งเขาใช้ยิงฆ่าตัวตาย
Output: No
Input: Consider Input: Japanese: 「映画からのものも含んだマーベルの財政的な成功の大部分は、この訴訟の対象であるスタン・リーによって生み出される資産からくるものである」と、申し立てで述べられている。
Thai: เนื่องจากการว่างงานของคนหนุ่มสาวอยู่ในระดับที่น่าตกใจ (15.5% ในปี 2002 สำหรับช่วงอายุ 20-24 ปีตามรายงานของ OECD) และความทรงจำของการจลาจลปี 2005 ยังคงอยู่ Sarkozy ให้คำมั่นที่จะบริหารค่าใช้จ่ายของรัฐบาลและจะออกนโยบายภาษีที่ให้รางวัลกับชั่วโมงทำงานที่ยาวนานขึ้น
| Output: No
| 2 | NIv2 | task1129_alt_ja_th_answer_generation | fs_opt | [
-0.553800642490387,
-0.5356448888778687,
-0.542086124420166,
0.3540698289871216,
0.1912577748298645,
-0.26184189319610596,
0.7987180352210999,
0.3024757206439972,
-0.08389420807361603,
0.010805502533912659,
-1.0627918243408203,
0.6355741620063782,
-0.6942199468612671,
0.7633104920387268,
... |
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: אפשר להכנס לאתר שלהם באינטרנט.
A: | Están en NewAmerica.net. | 3 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.9478434920310974,
0.6879411935806274,
0.347042977809906,
-0.7824327349662781,
-0.39969152212142944,
-0.2920326888561249,
0.5243022441864014,
0.05489524453878403,
-0.6722071766853333,
-0.5424268245697021,
0.20340865850448608,
0.12116345763206482,
-0.8390335440635681,
-0.4499726891517639,... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': Dollar Sign, "''": Single Quotes, ',': Comma Symbol, '-LRB-': Left Parantheses, '-RRB-': Right Parantheses, '.': Period, ':': Colon, 'ADD': Email Address, 'AFX': Affix, 'CC': Coordinating conjunction, 'CD': Cardinal Number, 'DT': Determiner, 'EX': Existential there, 'FW': Foreign Word, 'GW': Go with, 'HYPH': Hyphen symbol, 'IN': Preposition or a subordinating conjunction, 'JJ': Adjective, 'JJR': A comparative Adjective, 'JJS': A Superlative Adjective, 'LS': List item Marker, 'MD': Modal, 'NFP': Superfluous punctuation, 'NN': Singular Noun, 'NNP': Singular Proper Noun, 'NNPS': Prural Proper Noun, 'NNS': Prural Noun, 'PDT': Pre-determiner, 'POS': Possessive Ending, 'PRP': Personal pronoun, 'PRP$': Possessive Pronoun, 'RB': Adverb, 'RBR': Comparative Adverb, 'RBS': Superlative Adverb, 'RP': Particle, 'SYM': Symbol, 'TO': To , 'UH': Interjection, 'VB': Base form Verb, 'VBD': Verb in Past tense, 'VBG': Verb in present participle, 'VBN': Verb in past participle, 'VBP': Verb in non-3rd person singular present, 'VBZ': Verb in 3rd person singular present, 'WDT': Wh-determiner, 'WP': Wh-pronoun, 'WP$' Possessive Wh-pronoun, 'WRB': Wh-adverb, 'XX': Unknown, '``': Double backticks.
Input: Consider Input: Sentence: Coming from a person who hates the dentist in general , Dr. Taylor was the {{ best }} !
Word: best
Output: JJS
Input: Consider Input: Sentence: Coined by Bill Gates to represent the company {{ that }} was devoted to MICROcomputer SOFTware .
Word: that
Output: WDT
Input: Consider Input: Sentence: By the end of {{ 2005 }} you 'll have a whole new start with regard to your career and your earning potential - and a possible new partnership to top it off !
Word: 2005
| Output: CD
| 2 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.19403359293937683,
0.2948989272117615,
-0.18865934014320374,
0.41428059339523315,
0.12408040463924408,
-0.6298501491546631,
0.6743431687355042,
1.0642729997634888,
-0.38861292600631714,
-0.12180894613265991,
-0.17610998451709747,
0.535847544670105,
-0.1269790530204773,
0.0888480246067047... |
In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, like: [1,2,3].
Input: Consider Input: [-77, 76, 21, 100, 19]
Output: [-0.5, 48.5, 60.5, 59.5]
Input: Consider Input: [-13, 58, 24, 49, 97]
Output: [22.5, 41.0, 36.5, 73.0]
Input: Consider Input: [-79, -16, -81, 59, 20, 38, -29, 79, -21]
| Output: [-47.5, -48.5, -11.0, 39.5, 29.0, 4.5, 25.0, 29.0]
| 2 | NIv2 | task124_conala_pair_averages | fs_opt | [
-0.5564135313034058,
0.17715221643447876,
-0.7933204770088196,
-0.2958287298679352,
-0.0317838117480278,
0.6295570135116577,
0.6062453985214233,
0.5798100233078003,
0.006907816044986248,
-0.22609438002109528,
-0.8978766202926636,
-0.10436152666807175,
0.05977453291416168,
0.151493370532989... |
instruction:
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sentences that contain no information that is necessary to answer the question). Sort the sentence numbers in an increasing order (i.e., '1, 2', instead of '2, 1'). Your answer should not contain anything than the sentence numbers separated by a comma (e.g. '1, 2, 3, 4'). The given question requires more than one sentence to answer. So, your answer must contain at least one comma (", ").
question:
Paragraph- Sent 1: Once upon a time, there was a squirrel named Joey.
Sent 2: Joey loved to go outside and play with his cousin Jimmy.
Sent 3: Joey and Jimmy played silly games together, and were always laughing.
Sent 4: One day, Joey and Jimmy went swimming together at their Aunt Julie's pond.
Sent 5: Joey woke up early in the morning to eat some food before they left.
Sent 6: He couldn't find anything to eat except for pie!
Sent 7: Usually, Joey would eat cereal, fruit (a pear), or oatmeal for breakfast.
Sent 8: After he ate, he and Jimmy went to the pond.
Sent 9: On their way there they saw their friend Jack Rabbit.
Sent 10: They dove into the water and swam for several hours.
Sent 11: The sun was out, but the breeze was cold.
Sent 12: Joey and Jimmy got out of the water and started walking home.
Sent 13: Their fur was wet, and the breeze chilled them.
Sent 14: When they got home, they dried off, and Jimmy put on his favorite purple shirt.
Sent 15: Joey put on a blue shirt with red and green dots.
Sent 16: The two squirrels ate some food that Joey's mom, Jasmine, made and went off to bed.
Question: What did Joey eat early in the morning?.
answer:
5, 6, 8.
question:
Paragraph- Sent 1: Dr. Alex Cross is a psychiatrist and police lieutenant who lives in Detroit with his wife , Maria , their children , Damon and Janelle , and his grandmother , Nana Mama .
Sent 2: Upon learning that Maria is pregnant with their third child , Cross considers accepting a job as an FBI profiler , but fears Maria 's reaction , as it 'd require them to relocate to Washington , D.C. Meanwhile , a man called Picasso attends to an illegal underground Mixed Martial Arts fighting ring , where he flirts with businesswoman Fan Yau .
Sent 3: After brutally beating his opponent , Picasso is invited to Fan Yau 's house , where he sedates her while they 're having sex , tortures and kills her .
Sent 4: Police Captain Richard Brookwell calls Cross and his partner , Tommy Kane , to the crime scene .
Sent 5: On the way there , Cross tells Kane about Maria 's pregnancy and the the FBI 's offer , and Kane reveals that he is secretly dating their colleague , Monica Ashe .
Sent 6: Cross deduces that Picasso is a professional assassin , and finds a sketch made behind by Picasso , revealing that his next target is businessman Erich Nunemarcher .
Sent 7: Cross , Kane and Ashe go to Nunemarcher 's office , but Nunemarcher ignores their claims .
Sent 8: Picasso manages to enter the building , but is prevented from killing Nunemarcher by Cross , and escapes after being shot by Kane .
Sent 9: Cross analyzes a drop of Picasso 's blood and learns that he is a psychotic former member of the Special Forces and that his real target is billionaire CEO Leon Mercier .
Sent 10: Cross informs Mercier that Picasso might be trying to kill him .
Question: Who does Cross talk with during this story?.
answer:
5, 7, 9.
question:
Paragraph- Sent 1: One day Mary took a walk to the park.
Sent 2: The park was very close to her house.
Sent 3: One her way to the park she passed her friend Kim's house.
Sent 4: Mary stopped by and asked if Kim wanted to play.
Sent 5: Kim said yes.
Sent 6: Mary and Kim walked together to the park.
Sent 7: John's house was three houses down.
Sent 8: Mary and Kim stopped by to ask John if he wanted to play at the park.
Sent 9: John said no.
Sent 10: He was afraid of being chased by a squirrel.
Sent 11: Mary worried that John didn't like her, but John thought she was a good friend.
Sent 12: So Mary and Kim went to the park to play.
Sent 13: They loved the park.
Sent 14: They loved the flowers, and the swings!
Sent 15: Soon it was dinnertime and the girls went home.
Sent 16: What a lovely day at the park.
Question: What was Kim's response when Mary stopped by?.
answer:
| 4, 5.
| 9 | NIv2 | task049_multirc_questions_needed_to_answer | fs_opt | [
0.3732943832874298,
-0.030640512704849243,
-0.9728206396102905,
-0.06530918180942535,
0.449978768825531,
-0.28561121225357056,
0.6176128387451172,
0.8901253342628479,
0.10203433781862259,
0.4067472219467163,
-0.9810596704483032,
0.43504229187965393,
-0.8090479969978333,
-0.0612833090126514... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the 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).
Hindi: “क्यों क्या हुआ? मेरी इतनी बढ़िया राय के मोती
English: In Mumbai, in comparison to any other metro city of India, have more multilingual population.
Output: | No | 1 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-0.4580722451210022,
0.4866381287574768,
0.9352833032608032,
0.1317388117313385,
0.3518320918083191,
-0.7290475964546204,
-0.4288219213485718,
0.7131776213645935,
-0.10923723131418228,
-0.06652068346738815,
-0.21609920263290405,
-0.021968316286802292,
-0.7075035572052002,
-0.01863753609359... |
Teacher:In this task you will be given a question and a passage. You need to determine if the answer to the question is contained in the passage. If the answer can be found in the passage you should output 'True'. If the answer cannot be found in the passage you should output 'False'.
Teacher: Now, understand the problem? Solve this instance: Passage: 'The visual system in animals allows individuals to assimilate information from their surroundings. The act of seeing starts when the cornea and then the lens of the eye focuses light from its surroundings onto a light-sensitive membrane in the back of the eye, called the retina. The retina is actually part of the brain that is isolated to serve as a transducer for the conversion of light into neuronal signals. Based on feedback from the visual system, the lens of the eye adjusts its thickness to focus light on the photoreceptive cells of the retina, also known as the rods and cones, which detect the photons of light and respond by producing neural impulses. These signals are processed via complex feedforward and feedback processes by different parts of the brain, from the retina upstream to central ganglia in the brain.'. Question: 'where does most processing of visual images take place'.
Student: | True | 6 | NIv2 | task520_aquamuse_answer_given_in_passage | zs_opt | [
0.32325953245162964,
0.261817991733551,
-0.46348807215690613,
0.15503579378128052,
-0.8039944171905518,
-0.013804932124912739,
0.3702162504196167,
1.2673420906066895,
0.4012864828109741,
-0.37895485758781433,
-0.2803296446800232,
-0.2949961721897125,
-0.6169604659080505,
0.9855674505233765... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
One example: Title: Marcus Buys Khakis. Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: All of his clothes were either too formal or too casual. Sentence 3: He decided to buy a pair of khakis. Sentence 4: The pair he bought fit him perfectly.
Solution is here: He left in a huff for having his ideas mocked.
Explanation: Marcus is buying clothes for a business event and not presenting an idea.
Now, solve this: Title: The Card. Sentence 1: Mike opened the envelope nervously. Sentence 2: He had gotten a card from a secret admirer. Sentence 3: The card was creepy and unsettling. Sentence 4: Mike decided to ignore the card.
Solution: | Tim was able to purchase the textbook after mowing the lawn. | 6 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
-0.21302580833435059,
0.8344835042953491,
0.05975545197725296,
-0.5632199048995972,
0.0652182549238205,
0.2209717035293579,
0.6517179012298584,
0.5572038888931274,
0.5331310033798218,
0.0998997837305069,
-0.6269851922988892,
-0.18360114097595215,
-0.24902473390102386,
0.1831190288066864,
... |
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Sentence: Since xname is a English place and pricey. xname is in Murray Hill with decent food, pleasant ambiance and welcoming service, it is the best restaurant. ; Categories: location, price, recommend
location[Murray Hill], price[expensive], recommend[yes]
Sentence: xname coffee shop serves English food, is adult oriented with a high customer rating, and price range of £20-25. ; Categories: eattype, cuisine, familyFriendly
eattype[coffee shop], cuisine[English], familyFriendly[no]
Sentence: xname is a pub that serves Chinese food. It is located on the riverside. The prices are moderate and kids are not welcome. ; Categories: eattype, location, price
| eattype[pub], location[riverside], price[moderate]
| 0 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.4076823592185974,
0.3118915855884552,
-0.11375617980957031,
-0.7992837429046631,
-0.25257813930511475,
0.22991017997264862,
0.5116716623306274,
0.8164990544319153,
0.4891800284385681,
-0.2533227205276489,
0.6439844369888306,
-0.04936791956424713,
-0.3271268606185913,
-0.172583669424057,... |
Detailed Instructions: In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
Problem:i looked at what had happened to us in two generations and looked at what hadn t happened to them in two or three and instead of feeling outraged by their history of aggression i felt privileged by it
Solution: | anger | 8 | NIv2 | task875_emotion_classification | zs_opt | [
0.02005322463810444,
0.399844765663147,
0.5952925682067871,
-0.1652250587940216,
-0.3748164176940918,
-0.7704417705535889,
0.276814341545105,
0.7883235812187195,
0.44625023007392883,
-0.4417179524898529,
-0.3324260115623474,
-0.16628845036029816,
-1.3972665071487427,
-0.12092326581478119,
... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
Input: Consider Input: It blows my mind.
Output: Mi manda fuori di testa.
Input: Consider Input: (Laughter) And I plead guilty as charged, because all exploration, physical or intellectual, is inevitably in some sense an act of transgression, of crossing boundaries.
Output: (Risate) Mi dichiaro colpevole di tutte le accuse perché tutte le esplorazioni, fisiche o intellettuali, sono in un certo senso un atto di trasgressione, un superare i limiti.
Input: Consider Input: We're going to connect our command center, via a high-bandwidth satellite link to a building we're building at the University of Rhode Island, called the Interspace Center.
| Output: Connetteremo il nostro centro di comando tramite un collegamento satellitare a banda larga con un edificio che stiamo costruendo all'Università del Rhode Island chiamato Interspace Center.
| 2 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.11147193610668182,
0.4879995584487915,
-0.4683702290058136,
-0.2868573069572449,
-0.35766729712486267,
-0.42054033279418945,
-0.48798418045043945,
0.1494646966457367,
0.7469208240509033,
-0.5294702053070068,
-0.4347943365573883,
0.5722262859344482,
-0.7498557567596436,
-0.13590183854103... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
[Q]: و الشئ نفسه ينطبق على الصين.
[A]: 中国も同様でした
[Q]: بإمكانكم تصور مقدار الوقت الذي أمضوه ، وكمية الموارد والأموال التي صُرفت على هذا.
[A]: 彼らがどれだけ多くの時間と人材とお金をつぎ込んできたか想像できるでしょう
[Q]: وكما أن فكرة واجهة المبنى كانت أرخص بكثير ، ليس فقط بسبب المواد مقارنة بالزجاج ولكن أيضا لأننا لم نكن بحاجة إلى أجهزة التكييف بعد الآن.
[A]: | そしてこの外観はかなり安上がりでしたガラスよりも素材が安いというだけではなく空調を使う必要がなかったからです
| 5 | NIv2 | task1231_ted_translation_ar_ja | fs_opt | [
-0.2850840091705322,
0.4821063280105591,
-0.45872223377227783,
-0.5518275499343872,
-0.1014685332775116,
0.19386665523052216,
0.5526500940322876,
0.2520903944969177,
0.3726516366004944,
-0.3720040023326874,
-0.3272470533847809,
0.16536793112754822,
-0.32405412197113037,
0.739837646484375,
... |
In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Example input: Who were the builders of the mosque in Herat with fire temples ?
Example output: Ghurids
Example explanation: This is a good example. Ghurids were the builders of the mosque in Herat with fire temples.
Q: What is the name of the cathedral who once had an Archbishop that may have been from Bologna ?
A: | Piazza del Duomo | 3 | NIv2 | task344_hybridqa_answer_generation | fs_opt | [
-0.3418412208557129,
1.3173116445541382,
0.09253235161304474,
0.11493360996246338,
-0.45623135566711426,
-1.1303203105926514,
0.5036437511444092,
-0.09652689844369888,
-0.4270135760307312,
-0.4455716907978058,
-0.17880100011825562,
0.6106743812561035,
-0.7025865912437439,
0.249475538730621... |
You are given a news article in the Thai language and a genre in the English language. Classify the sentiment of the given genre into "positive" and "negative" according to the Thai article.
--------
Question: Title: สหพันธ์ขนส่งยื่นหนังสือขอชะลอขึ้นเอ็นจีวี หวั่นต้นทุนขนส่งเพิ่มขึ้น
Body: ประธานสหพันธ์การขนส่งทางบกแห่งประเทศไทย เตรียมทำหนังสือถึงนายกรัฐมนตรี ให้ชะลอปรับขึ้นราคาก๊าซเอ็นจีวีในเดือน ต.ค. นี้ไปก่อน เนื่องจากจะทำให้ต้นทุนผู้ประกอบการขนส่งสินค้าเพิ่มขึ้น
15 ส.ค.2558 เว็บไซต์ ThaiPBS [1] จากกรณีที่กระทรวงพลังงาน เตรียมปรับขึ้นราคาก๊าซเอ็นจีวีในเดือน ต.ค.นี้ เพื่อให้สะท้อนต้นทุนที่แท้จริงที่กิโลกรัมละ 15 บาทนั้น นายยู เจียรยืนยงพงศ์ ประธานสหพันธ์การขนส่งทางบกแห่งประเทศไทย เปิดเผยว่า ไม่เห็นด้วย เนื่องจากเป็นการเพิ่มต้นทุนให้กับผู้ประกอบขนส่งบางส่วน ที่ปรับเปลี่ยนมาใช้ก๊าซเอ็นจีวีตามที่รัฐบาลได้รณรงค์ไปก่อนหน้านี้ เพื่อลดมลพิษต่อสิ่งแวดล้อม โดยเตรียมทำหนังสือถึงพล.อ.ประยุทธ์ จันทร์โอชา นายกรัฐมนตรี เพื่อให้พิจารณาชะลอการปรับราคาไปก่อน
นายยูกล่าวว่า การปรับราคาก๊าชเอ็นจีวี ถือเป็นการสวนกระแสพลังงานอื่นที่ปรับลดลง เช่น น้ำมันดีเซล เบนซิน ก๊าซแอลพีจี หากปรับราคาเอ็นจีวี จะทำให้ราคาใกล้เคียงกับดีเซลมากขึ้น ขณะที่ต้นทุนผู้ประกอบการที่ใช้เอ็นจีวีสูงกว่าดีเซล ผู้ประกอบการขนส่งจะต้องปรับราคาขนส่ง เพื่อให้คุ้มกับต้นทุนที่เพิ่มขึ้น ขณะนี้มีผู้รถขนส่งสินค้าที่ใช้เอ็นจีวีกว่า 1 แสนคัน
ขณะที่กระทรวงพลังงานระบุว่า การปรับราคานั้นจะต้องดูที่ต้นทุนการจัดหาก๊าซเป็นสำคัญ โดยล่าสุดต้นทุนก๊าซในตลาดโลกปัจจุบันเฉลี่ยอยู่ที่ 15 บาทต่อกิโลกรัม แต่ราคาจำหน่ายในประเทศถูกตรึงไว้ที่ 13 บาทต่อกิโลกรัม ซึ่งต้องทยอยปรับขึ้นรวม 2 บาทต่อกิโลกรัม
What is the sentiment in the text for the genre: environment
Answer: positive
Question: Title: รำลึก 100 วัน การจากไปของ นพ.สงวน นิตยารัมภ์พงศ์
Body: ชมรมเพื่อนมหิดล จัดกิจกรรมรำลึก 100 วัน การจากไปของ นพ.สงวน นิตยารัมภ์พงศ์ ภายใต้ชื่อ "หมอหงวน...ศรัทธา...สร้างสรรค์...ฝันเป็นจริง" โดยมีบุคลในวงการแพทย์ กลุ่มบุคลากรสาธารณสุข และตัวแทนองค์กรพัฒนาเอกชนเข้าร่วมงานคับคั่ง เมื่อวันที่ 26 เม.ย.ที่ผ่านมา ณ ห้องราชเทวี โรงแรมเอเชีย
งานเริ่มต้นในเวลาประมาณ 18.00 น.โดย นพ.มงคล ณ สงขลา เป็นผู้กล่าวเปิดงาน จากนั้นเป็นการเปิดใจถึงการจัดงานในครั้งนี้ โดย นายวิเชียร คุตตวัส ประธานชมรมเพื่อนมหิดล
"เราจะทำให้สังคมเป็นสังคมที่ดีที่เราใฝ่ฝันได้อย่างไร และเราจะส่งต่อภารกิจและความฝันให้คนรุ่นหลังๆ ของเราได้อย่างไร" นายวิเชียร กล่าวถึงวัตถุประสงค์ของการจัดงานเพื่อสานต่อความฝันของหมอหงวนในครั้งนี้
ต่อมาเป็นการแสดงดนตรีชุด "เรียงร้อยเส้นทาง..ศรัทธา..สร้างสรรค์..ฝันเป็นจริง" จากวงสลึง วงดนตรีนักศึกษาของมหาวิทยาลัยมหิดล สลับกับการบอกเล่าเรื่องราวในแต่ละช่วงชีวิตของ นพ.สงวน ตั้งแต่เป็นนักศึกษาแพทย์ โดย นพ.สุรพงษ์ อึ้งศรีวงศ์ ประธานองค์กรแพทย์โรงพยาบาลมหาชัย อดีตแกนนำนักศึกษาแพทย์ที่เคลื่อนไหวในเหตุการณ์ 6 ตุลา 19 และเป็นผู้ผลักดัน นพ.สงวน สู่การเป็นนายกสหพันธ์นักศึกษามหิดล ในชื่อช่วง "สั่งสมอุดมการณ์"
"ผมภูมิใจที่พี่สงวนเป็นคนดีที่ทำเพื่อประชาชนจนชั่วชีวิต" นพ.สุรพงษ์กล่าว
จากนั้น นพ.วิโรจน์ อภิสิทธิ์วิทยา ผอ.ฝ่ายบริหารโรงพยาบาลศุภมิตรเสนา และพญ.สุพัตรา ศรีวาณิชชากร ผอ.สำนักงานบริหารการพัฒนาระบบบริหารปฐมภูมิ ได้บอกเล่าเรื่องราวการ "สานฝันให้เป็นจริง" ในช่วงที่เริ่มเข้าสู่ชีวิตทำงานในฐานะนายแพทย์ และบทบาทหน้าที่ในระบบราชการ ตั้งแต่เมื่อครั้งทำงานที่โรงพยาบาลอำเภอราศีไศล จ.ศรีสะเกษ และได้ก่อตั้งกองทุนยา ซึ่งเป็นที่มาของกองทุนหลักประกันสุขภาพในปัจจุบัน
ช่วง "ทุกสิ่งสู่ประชาชน" ว่าด้วยอุดมการณ์และความใฝ่ฝันที่ได้บ่มเพาะจนนำไปสู่การผลักดันให้ประชาชนได้เกิดหลักประกันสุขภาพ โดย นพ.วินัย สวัสดิวร เลขาธิการสำนักงานหลักประกันสุขภาพแห่งชาติ (สปสช.) คนที่ 2 ซึ่งกล่าวว่า นพ.สงวน เป็นผู้เปลี่ยนมุมมองของการบริการสาธารณสุขจาการสงเคราะห์เป็นสิทธิที่บุคคลควรได้รับ และเปลี่ยนการกระจายงบประมาณของรัฐให้เป็นไปเพื่อประชาชน นอกจากนั้นยังเป็นผู้ผลักดันหลักประกันสุขภาพถ้วนหน้าให้มั่นคง แม้จะได้รับแรงต่อต้านจากคนทำวิชาชีพนี้ค่อนข้างมาก ทั้งนี้การคิด พูด เขียน ทำ ล้วนเจตนาให้เกิดประโยชน์กับประชาชน
ในตอนท้าย นพ.วิโรจน์ ได้กล่าวถึงการรับหน้าที่ เลขา สปสช. ต่อจาก นพ.สงวน ว่า จะพยายามทำหน้าที่ให้ดีที่สุด ทำให้เจตนารมณ์ของ นพ.สงวน เป็นจริงและยั่งยืนต่อไป
การเสวนาหัวข้อ "หมอสงวน...จากอุดมการณ์สู่ความเป็นจริง" ดำเนินรายการโดย ดร.เจิมศักดิ์ ปิ่นทอง เริ่มต้นเมื่อเวลาประมาณ 19.30 น. มี นพ.วิชัย โชควิวัฒน์ ประธานกรรมการองค์การเภสัชกรรม (บอร์ด อภ.) นพ.โกมาตร จึงเสถียรทรัพย์ ผู้อำนวยการสำนักวิจัยสังคมและสุขภาพ (สวสส.) รอ.ทพญ.อพภิวันท์ นิตยารัมภ์พงศ์ ภรรยาของนพ.สงวน และนางรสนา โตสิตระกูล ส.ว.กรุงเทพฯ ร่วมพูดคุย
นพ.วิชัยกล่าวว่า อุดมการณ์ของ นพ.สงวน คืออยากเห็นหลักประกันสุขภาพถ้วนหน้า โดยเริ่มจากหลักประกันสังคม สู่หลักประกัน 30 บาทรักษาทุกโรค ไปจนถึงหลักประกันสุขภาพฯ เพราะในฐานะหมอไม่อยากให้เงินทองเป็นอุปสรรคที่ขวางกั้นการเข้าถึงการรักษาพยาบาล ทั้งนี้ความฝันในเรื่องหลักประกันสุขภาพฯ แห่งชาติของ นพ.สงวน เป็นความฝันที่ก้าวไปได้ไกลมากที่สุด เพราะรัฐบาลมีการนำไปปฏิบัติ อีกทั้งเชื่อว่าจะเป็นสิ่งที่มั่นคงเพราะมั่นใจว่าอะไรที่รัฐบาลได้ให้กับมวลชนแล้งรัฐบาลจะไม่กล้าเรียกคืน
อย่างไรก็ตาม นพ.วิชัย ได้กล่าวต่อถึงสิ่งสำคัญ 3 ประการที่หลักประกันสุขภาพฯ ยังไปไม่ถึง คือ 1.ประชาชนได้รับหลักประกันสุขภาพอย่างทั่วถึง เป็นธรรม และมีความเสมอภาค แต่ปัจจุบันนี้จะเห็นได้ว่าการประกันสุขภาพของข้าราชการที่ดีกว่าการกระกันสุขภาพประชาชนทั่วไปมาก 2.หลักประกันให้ประชาชนมีความสุข และผู้ดำเนินกิจการมีความสุขด้วย 3.ให้ชุมชนมีส่วนเป็นเจ้าของสถานบริการสาธารณสุข และมีความเชื่อมั่นในบริการของสถานบริการใกล้บ้าน
นอกจากนี้ นพ.วิชัย ได้แสดงความเป็นห่วงถึงแนวคิดการนำ "ระบบร่วมจ่าย" มาใช้กับสวัสดิการการประกันสุขภาพ จากแนวความคิดเดิมที่หักโดยใช้ระบบภาษี โดยให้เหตุผลว่าการที่ให้คนมีฐานะดีมาร่วมจ่ายด้วยจะทำให้เกิดระบบบริการหลายมาตรฐาน ซึ่งเสี่ยงที่จะทำให้ระบบของหลักประกันสุขภาพถ้วนหน้าเสื่อมลงได้
ด้านนพ.โกมาตร กล่าวถึงอุดมการณ์ของ นพ.สงวน ว่า เป็นความต้องการสร้างสังคมที่มนุษย์มีสิทธิความเป็นคนเสมอกันที่ออกมาในรูปของหลักประกันสุขภาพถ้วนหน้า พร้อมกับการสร้างสังคมในมิติอื่นๆ เช่น การผลักดันเครือข่ายภาคประชาชนในการทำงานต่อสูเพื่อประชาชน โดยบุกเบิกการให้งบประมาณสนับสนุนจากหน่วยงานของรัฐแก่องค์กรพัฒนาเอกชน ทั้งนี้การปฏิรูปเพื่อให้การรักษาพยาบาลถ้วนหน้าเกิดขึ้นได้ต่อไป ต้องมีการปฏิรูปการเงินการคลัง และสร้างระบบบริการใกล้บ้านให้แข็งแรง เข้าถึงได้ง่าย และทั่วถึง ซึ่งเป็นสิ่งที่คาดว่า นพ.สงวน จะมุ่งเน้นหากยังมีชีวิตอยู่
"ถ้าแกมีชีวิตอยู่ได้อีกไม่ว่า 3 วัน 3 ปี 30 ปี สิ่งที่แกจะทำก็คือการทำงานเพื่อรับใช้เพื่อนมนุษย์" นพ.โกมาตรกล่าวถึงการทำงานของ นพ.สงวน
นพ.โกมาตร กล่าวต่อถึง นพ.สงวน ว่าเป็นคนที่มีอุดมการณ์ มีความรู้ และมีคนรัก จึงทำให้การทำงานต่างๆ ได้รับความช่วยเหลือจากบุคคลรอบข้าง นอกจากนี้ยังเป็นคนที่ทำงานแล้วได้ใจคน ซึ่งเป็นความสำเร็จที่น้อยคนจะสามารถทำได้
ส่วน รอ.ทพญ.อพภิวันท์ กล่าวว่า ความสำเร็จสูงสุดของ นพ.สงวน ผู้เป็นสามีคือ การรวมใจคน เหมือนทุกคนที่มาร่วมงานในวันนี้ที่มาร่วมงาน แม้ว่า นพ.สงวน จะเสียชีวิตแล้วทุกคนก็ยังมีใจพร้อมที่จะทำงานสืบต่อความฝันต่อไป
"โครงการ 30 บาท ทำไม่ได้คนเดียว ตั้งแต่วันแรกที่เข้าสู่กระทรวงสาธารณสุข และการเดินหน้าทีละก้าว ทีละก้าว พี่หงวนไม่ได้ทำคนเดียวเลย" รอ.ทพญ.อพภิวันท์ กล่าว
นอกจากนี้ รอ.ทพญ.อพภิวันท์ เล่าถึงเหตุการณ์ในช่วย 4 สัปดาห์สุดท้ายก่อนการสูญเสีย หลังจากที่ได้ทราบว่าไม่มียารักษา ทั้งที่ นพ.สงวน ถือเป็นผู้ป่วยพิเศษที่ได้รับการดูแลอย่างดีที่สุดทางกายภาพ ทำให้รู้สึกช็อคกับสิ่งที่ได้รับรู้ ในตอนนั้นสิ่งที่ต้องการไม่ใช่การรักษา ไม่ต้องการยาราคาแพง เพียงแต่ได้รับมิตรภาพ ไมตรีจิตแม้จากคนที่ไม่ได้รู้จักเลยมาเป็นกำลังใจ ก็ทำให้รู้สึกดี และมันเป็นสิ่งที่มีค่ามากที่สุด เพราะส่วนหนึ่งที่มีในตอนนั้นคือความทุกข์ใจ สิ่งเหล่านี้ทำให้เข้าใจถึงความรู้สึกสูญเสียของคนอื่นๆ และได้เป็นที่มาของการก่อตั้ง "ศูนย์มิตรภาพบำบัด" ขึ้นมา
"คนเราตายช้า ตายเร็วก็ต้องเจอ แต่ตายอย่างสงบคือสิ่งที่ทุกคนควรจะได้มี" รอ.ทพญ.อพภิวันท์ กล่าวถึงสิ่งที่ นพ.สงวน ฝากไว้
What is the sentiment in the text for the genre: politics
Answer: negative
Question: Title: "ทีไอทีวี" ร้องสมาคมนักข่าวฯ ถูกห้ามทำข่าวฝ่ายต้าน คมช.
Body: วานนี้ (22 มิ.ย.) ตัวแทนพนักงานสถานีโทรทัศน์ไอทีวี เข้าพบคณะกรรมการบริหารสมาคมนักข่าววิทยุและโทรทัศน์ไทย ระหว่างการประชุมคณะกรรมการบริหารประจำเดือนเพื่อยื่นหนังสือร้องเรียน กรณีถูกสั่งห้ามและแทรกแซงการทำงานข่าวและรายการที่เกี่ยวข้องกับความขัดแย้งประเด็นทางการเมือง
นายเถกิง สมทรัพย์ นายกสมาคมนักข่าววิทยุและโทรทัศน์ไทย เปิดเผยหลังจากรับหนังสือร้องเรียนว่า ได้รับทราบข้อมูลจากตัวแทนพนักงานว่า ในช่วงระหว่าง 1 เดือนที่ผ่านมา ขณะที่บรรยากาศทางการเมืองร้อนแรงมากขึ้น ฝ่ายข่าวและฝ่ายรายการของสถานีโทรทัศน์ไอทีวีได้พยายามนำเสนอข่าวสารและเนื้อหาที่เกี่ยวข้องกับประเด็นทางการเมือง การชุมนุม รวมทั้งคดียุบพรรคการเมือง โดยเชิญผู้เกี่ยวข้องทั้งที่เห็นด้วยและไม่เห็นด้วยมาร่วมรายการ โดยทางสถานียืนยันในหลักการตามวิชาชีพที่จะเปิดโอกาสให้ฝ่ายต่างๆ ได้แสดงความเห็นอย่างเท่าเทียมและรอบด้าน
อย่างไรก็ตาม ปรากฏว่าได้รับคำสั่งจากเจ้าหน้าที่รัฐ ไม่ต้องการให้นำเสนอความเห็นที่ขัดแย้งหรือไม่เห็นด้วยกับนโยบายของรัฐบาล โดยอ้างเหตุผลเรื่องความสมานฉันท์ภายในชาติ หากไม่ปฏิบัติตามคำสั่งก็จะถูกดำเนินมาตรการขั้นเด็ดขาดต่อไป พร้อมกับแต่งตั้งเจ้าหน้าที่รัฐมาตรวจสอบบทและประเด็นข่าวก่อนออกอากาศ อีกทั้งยังมีตัวแทนหน่วยงานรัฐมาร่วมประชุมกับกองบรรณาธิการทุกวัน ทำให้กองบรรณาธิการขาดอิสระในการทำงานอย่างแท้จริง
"ตัวแทนพนักงาน มาร้องเรียนสมาคมฯ เพื่อขอให้หาแนวทางในการช่วยเหลือ พนักงานทีไอทีวีส่วนหนึ่งก็เป็นสมาชิกสมาคมฯ ดังนั้น เมื่อมีเรื่องแจ้งมาในฐานะองค์กรวิชาชีพด้านวิทยุโทรทัศน์ ก็จะนำประเด็นนี้เข้าสู่กระบวนการคณะกรรมการรับเรื่องร้องเรียนและฝ่ายสิทธิเสรีภาพ พร้อมกับตรวจสอบข้อเท็จจริงต่อไป"
เขากล่าวถึงข้อเสนอที่พนักงานทีไอทีวีเรียกร้องให้มีคณะกรรมการกลางเพื่อกำกับดูแลกองบรรณาธิการ หรือ Editorial Boardนั้น ก็เห็นด้วยและควรเร่งผลักดันให้มีคณะกรรมการดังกล่าวโดยเร็ว
นายกสมาคมนักข่าววิทยุและโทรทัศน์ไทย ยังแสดงความห่วงใยต่อสถานการณ์ดังกล่าว และยืนยันว่าโดยหลักการแล้ว การทำงานของสื่อสารมวลชน สิ่งสำคัญที่สุดคือ ความเป็นอิสระในการทำหน้าที่นำเสนอข้อเท็จจริงต่อสังคม แต่หากมีกระบวนการปิดกั้น หรือคัดกรองโดยไม่ถูกต้องแล้ว ผลเสียย่อมตกถึงประชาชน และปัญหาในสังคมก็จะไม่ได้รับการแก้ไข เพราะเวทีของผู้ที่มีความเห็นแตกต่างไม่ได้ถูกนำเสนอ อาจเป็นปัญหานำไปสู่สถานการณ์ที่รุนแรงและบานปลายมากขึ้นในอนาคต ซึ่งการแก้ปัญหาความขัดแย้งนั้น จะต้องเปิดพื้นที่ให้กับทุกฝ่ายได้แสดงความเห็น เพื่อนำไปสู่การแก้ปัญหาร่วมกัน
ด้านนางจันทิมา เชยสงวน รองอธิบดีกรมประชาสัมพันธ์ และผู้อำนวยการสถานีโทรทัศน์ ทีไอทีวี กล่าวว่าในช่วง ในช่วง 1-2 สัปดาห์ที่ผ่านมา กรมประชาฯ ซึ่งมีหน้าที่ดูแล ทีไอทีวี ได้ให้นโยบายกับทางสถานีเสนอข่าวในประเด็นที่สร้างความสมานฉันท์ให้สังคม เนื่องจากปีนี้เป็นปีมหามงคล ที่พระบาทสมเด็จพระเจ้าอยู่หัว ทรงเจริญพระชนมพรรษาครบ 80 พรรษา ดังนั้นสถานีทีวีทุกช่องควรจะนำเสนอข่าวเกี่ยวกับพระอัจฉริยภาพของพระบาทสมเด็จพระเจ้าอยู่หัว ในด้านต่างๆ เป็นหลัก รวมทั้งข่าวสถานการณ์ 3 จังหวัดชายแดนภาคใต้ที่ส่งผลกระทบต่อประเทศชาติ และข่าวความเคลื่อนไหวการร่างรัฐธรรมนูญฉบับใหม่ ซึ่งน่าจะเป็นประโยชน์ต่อประเทศชาติมากกว่า ซึ่งช่อง 11 ก็ดำเนินนโยบายการเสนอข่าวในทิศทางนี้เช่นกัน
ทั้งนี้ ได้ขอความร่วมมือให้ทีไอทีวี ลดการนำเสนอประเด็นความขัดแย้งของสังคม ที่จะนำไปสู่ความคิดเห็นที่แตกแยกของสังคม และนำไปสู่เหตุการณ์รุนแรง เช่น ในประเด็นความเห็นทางกฎหมายต่อกรณีที่ได้มีการตัดสินไปแล้ว แต่กลับมีการนำเสนอความคิดเห็นของบุคคลที่เห็นแตกต่าง ซึ่งประชาชนผู้ชมที่ไม่มีความรู้ด้านกฎหมายอาจจะเข้าใจผิดได้ โดยเฉพาะช่วงเวลาที่มีการชุมนุมที่สนามหลวงขณะนี้ การได้รับข้อมูลต่างๆ จึงมีความสำคัญมาก เพราะอาจจะนำไปสู่เหตุการณ์รุนแรงได้
"กรมประชาฯได้มอบนโยบายการเสนอข่าวที่เห็นว่าเป็นประโยชน์ต่อสังคม และเชื่อว่าไม่ได้ทำให้การนำเสนอข่าวของทีไอทีวี ขาดอิสรภาพ เพราะทีไอทีวีต้องทำหน้าที่สื่อที่ดีของสังคม" นางจันทิมา กล่าว
..........................
ที่มา: เว็บไซต์กรุงเทพธุรกิจ
What is the sentiment in the text for the genre: politics
Answer: | negative
| 7 | NIv2 | task974_prachathai67k_sentiment_classification | fs_opt | [
0.1060861349105835,
-0.8999544382095337,
0.540413498878479,
-0.27969062328338623,
0.5979669094085693,
-0.905949056148529,
0.27912968397140503,
0.6846588850021362,
-0.5644466280937195,
0.791766881942749,
-0.032009705901145935,
0.6083265542984009,
-0.13320235908031464,
0.3006402552127838,
... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
send me the picture send me one first gril first
Output: | other | 1 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
-1.7577096223831177,
0.4783732295036316,
0.42969679832458496,
-0.7171624898910522,
-0.16677778959274292,
-0.14539282023906708,
0.5775900483131409,
-0.26642459630966187,
0.13877245783805847,
-0.3508464992046356,
-0.4271309971809387,
-1.215834617614746,
-0.7398700714111328,
0.554499030113220... |
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or anti-stereotype. You are expected to classify the passage into three classes: stereotype, anti-stereotype, and unrelated.
Ex Input:
Passage: That schoolgirl right there is always raising her hand in class and answering questions promptly. I love it when she raises her hand high in the air because I get to see her sexy, big breasts nearly burst out of her blouse.
Ex Output:
Stereotype
Ex Input:
Passage: Spain is a blue country.
Ex Output:
Unrelated
Ex Input:
Passage: An Arab man attended university in the U.S. He thought American women were nonetheless conservative in their mannerisms.
Ex Output:
| Anti-stereotype
| 1 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
0.09537070989608765,
0.3479207158088684,
-0.18420162796974182,
0.1285652220249176,
-0.2561112642288208,
0.22469504177570343,
0.7877894639968872,
0.9550913572311401,
0.033714406192302704,
0.16201332211494446,
-0.6481945514678955,
-0.0014577001566067338,
-0.5401918292045593,
-0.1553070247173... |
Detailed 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, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: PersonX gives birth to a PersonY<sep>Tail: Rest for a long time
A: | Yes | 9 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.23279836773872375,
0.41411590576171875,
0.23497368395328522,
-0.3242533802986145,
-0.6491689682006836,
-1.0339243412017822,
1.3713271617889404,
0.08603885769844055,
-0.3568567633628845,
-0.7420239448547363,
-0.05618162453174591,
-0.15728524327278137,
-0.9335348606109619,
0.60640537738800... |
Given the task definition and input, reply with output. In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
[156.146, -88.32, 1.211, 11.366, 216.143, 66.781, 155.255]
| 74.083 | 5 | NIv2 | task094_conala_calculate_mean | zs_opt | [
-0.5264716148376465,
0.6851565837860107,
-0.7942944765090942,
-1.0782362222671509,
-0.0655876025557518,
0.6303548812866211,
0.23235216736793518,
-0.08025851845741272,
-0.12227018177509308,
-0.024042094126343727,
-1.0793240070343018,
0.6920114755630493,
-0.6421387791633606,
0.15406052768230... |
In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Q: Passage: Voting rights in the United States -- Eligibility to vote in the United States is established both through the federal constitution and by state law. Several constitutional amendments (the 15th, 19th, and 26th specifically) require that voting rights cannot be abridged on account of race, color, previous condition of servitude, sex, or age for those above 18; the constitution as originally written did not establish any such rights during 1787--1870. In the absence of a specific federal law or constitutional provision, each state is given considerable discretion to establish qualifications for suffrage and candidacy within its own respective jurisdiction; in addition, states and lower level jurisdictions establish election systems, such as at-large or single member district elections for county councils or school boards.
Question: does the constitution give us the right to vote
A: 1
****
Q: Passage: The impact of geography on colonial America -- Before the foundation of the United States in 1776, the Kingdom of Great Britain owned Thirteen Colonies on eastern shore of North America. The geography and climate of the area had a significant impact on the economy and survival of the colonies.
Question: did geography affect the development of colonial america
A: 1
****
Q: Passage: Taco Bell -- Taco Bell began experimenting with fast-casual and urban concepts when it created U.S. Taco Co. and Urban Taproom in 2014. The menu consists of tacos with American fillings, and did not sell food sold in Taco Bell restaurants such as burritos. It was launched in Huntington Beach, California in August 2014. U.S. Taco Co. closed on September 15, 2015 so the company could focus on its new similar Taco Bell Cantina concept, which featured special menu items and served alcohol. It opened its first location a few days later in Chicago's Wicker Park neighborhood, followed by a location in San Francisco about a month later, located less than a block away from AT&T Park. In 2016, Taco Bell launched the Taco Bell Catina flagship store located on the Las Vegas strip. This 24-hour restaurant hosts a variety of unique features including alcohol, new menu items, and a DJ. It was announced in August 2017 that the store would begin hosting weddings. Taco Bell Cantina currently has locations in San Francisco, Berkeley, Chicago (2 locations), Las Vegas, Austin, Fayetteville, Cincinnati, Cleveland, Atlanta, Newport Beach, and plans to open soon in Somerville, MA.
Question: is there taco bell on the east coast
A: | 1
****
| 4 | NIv2 | task1661_super_glue_classification | fs_opt | [
0.37065109610557556,
-0.1660645604133606,
0.060823868960142136,
0.9115874767303467,
-0.052528101950883865,
0.2565167546272278,
0.6030726432800293,
1.2584558725357056,
-0.0895402580499649,
0.07166317105293274,
0.48867905139923096,
-0.13110831379890442,
-0.3775683045387268,
-0.57174897193908... |
Instructions: 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".
Input: I mixed the sugar and the butter.
Output: | acceptable | 3 | NIv2 | task616_cola_classification | zs_opt | [
-0.44450056552886963,
0.7142751216888428,
0.9059901833534241,
-0.575937032699585,
-0.17644594609737396,
-0.6231836676597595,
0.4984736740589142,
0.5685206055641174,
0.37323281168937683,
0.0023916754871606827,
-0.8199537992477417,
-0.4904833137989044,
-0.048827387392520905,
-0.3349445760250... |
Teacher: Your task is to localize given English phrase into Hindi language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But only partial translation or only partial transliteration is not allowed (5) Copy special characters and numbers as is
Teacher: Now, understand the problem? If you are still confused, see the following example:
Displays the document relations of a document
Solution: दस्तावेज़ का दस्तावेज़ सम्बन्ध प्रदर्शित करता है
Reason: The sentence is accurately translated
Now, solve this instance: U. N. O ID:
Student: | यूएनओ आईडी: | 2 | NIv2 | task877_kde4_translation | fs_opt | [
-0.5811914801597595,
0.9061654210090637,
0.45191240310668945,
-0.27344173192977905,
-0.1598973572254181,
-0.6511770486831665,
0.6189817190170288,
0.3544057607650757,
-0.30556270480155945,
-0.798517644405365,
-0.5302318334579468,
-0.06471917778253555,
-0.3515169620513916,
0.3619998693466186... |
In this task, you are given a text which is the body of a document. Your job is to classify the topic of the document into these categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office Holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)Album, 13)Film, 14)Written work. Your output should be the category number. Don't generate anything apart from numbers 1-14.
Example input: Text: Abbott of Farnham E D Abbott Limited was a British coachbuilding business based in Farnham Surrey trading under that name from 1929. A major part of their output was under sub-contract to motor vehicle manufacturers. Their business closed in 1972.
Example output: 1
Example explanation: Here, the given text is about a British coachbuilding business company. Hence, it is a correct answer.
Q: Text: German submarine U-327 was a Type VIIC/41 U-boat of Nazi Germany's Kriegsmarine during World War II.She carried out three patrols but did not sink any ships.The boat was sunk in February 1945 by British warships in the English Channel.
A: | 6 | 3 | NIv2 | task629_dbpedia_14_classification | fs_opt | [
-1.2668952941894531,
0.26022541522979736,
0.10076461732387543,
-0.015168625861406326,
0.7727766036987305,
0.4123731255531311,
0.3487015962600708,
0.5736255049705505,
-0.33005326986312866,
-0.07005146145820618,
0.06414812058210373,
-0.35163673758506775,
0.2395952045917511,
-0.13538748025894... |
Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the concept and relatum belong to the same semantic class. A hypernym relation indicates that the relatum is a category of which the concept is a specific instance. A meronym relation implies that relatum is a part/component/organ/member of the concept. An attribute relation is when the relatum is an adjective expressing an attribute of the concept. An event relation holds when the relatum is a verb referring to an action/activity/happening/event that is performed by or with the concept. If the relatum and concept are unrelated, the relation between them is 'random'. Classify your answers into coord, hyper, mero, attri, event, and random.
Let me give you an example: Concept: alligator, Relatum: lizard.
The answer to this example can be: coord
Here is why: Alligator and lizard belong to the same semantic class of reptiles, so the relation is coordinate.
OK. solve this:
Concept: cathedral, Relatum: decorate.
Answer: | event | 8 | NIv2 | task1418_bless_semantic_relation_classification | fs_opt | [
0.000022932537831366062,
0.2548457980155945,
0.0033592686522752047,
0.1591368168592453,
-0.7684667110443115,
-0.06081736087799072,
-0.20171478390693665,
0.14633332192897797,
-0.07543135434389114,
-0.7633230686187744,
-0.16887913644313812,
0.28243640065193176,
-1.0407675504684448,
0.4564916... |
Teacher: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 numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
Teacher: Now, understand the problem? Solve this instance: ['4073', '2335', 'f', '6541', 'S']
Student: | 1, 2, 4 | 6 | NIv2 | task507_position_of_all_numerical_elements_in_list | zs_opt | [
0.10239501297473907,
0.4544822573661804,
-0.049456242471933365,
-0.9590421319007874,
0.2718154191970825,
0.008540311828255653,
1.0926584005355835,
0.1870829164981842,
-0.19990864396095276,
0.3417651057243347,
-0.3077327311038971,
0.06391032785177231,
-0.3246040344238281,
-0.777881622314453... |
Q: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios.
Isabella entered the laundry. Aria entered the laundry. The celery is in the green_drawer. Aria exited the laundry. Isabella moved the celery to the blue_cupboard. Where does Isabella think that Aria searches for the celery? Aria entered the laundry. Isabella is in the laundry. The peach is in the blue_cupboard. Aria moved the peach to the green_drawer. Where was the peach at the beginning? Isabella entered the porch. Liam entered the porch. The carrot is in the blue_suitcase. Liam exited the porch. Isabella moved the carrot to the red_drawer. Where was the carrot at the beginning? Jacob entered the staircase. Liam entered the staircase. The grapefruit is in the green_suitcase. Jacob moved the grapefruit to the blue_envelope. Where is the grapefruit really? Isabella is in the porch. Jacob entered the porch. The beans is in the red_drawer. Isabella moved the beans to the blue_suitcase. Where does Isabella think that Jacob searches for the beans?
A: | blue_suitcase | 7 | NIv2 | task153_tomqa_find_location_hard_clean | zs_opt | [
-0.3050500452518463,
-0.22367651760578156,
-0.25188708305358887,
-0.30608052015304565,
-0.7134323120117188,
0.07959172874689102,
0.19147641956806183,
0.6438496112823486,
-0.13745859265327454,
0.07944619655609131,
-0.07495734095573425,
0.2386041283607483,
-0.2094258964061737,
0.237231016159... |
Part 1. Definition
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Part 2. Example
Tweet: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymized_account, Question: Does the tweet contain cyberbullying (harmful) content?
Answer: Yes
Explanation: The tweet contains Bullying content
Part 3. Exercise
Tweet: @anonymized_account Siatkówka nigdy hajsem niedorowna nożnej bo stadionów na 20 tys kibiców mamy mnóstwo a hal na 20 tys mamy ile? , Question: Is the tweet free of any cyberbullying (harmful) content?
Answer: | Yes | 7 | NIv2 | task839_cdt_classification | fs_opt | [
-0.9454532861709595,
0.7678472995758057,
0.09907896816730499,
0.7510420083999634,
-0.19268116354942322,
-0.913469672203064,
0.6197893619537354,
-0.30762338638305664,
0.044250212609767914,
0.2988373935222626,
-0.4059658646583557,
0.24640268087387085,
-0.8950323462486267,
-0.3285300731658935... |
Teacher: In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in the two lists with the updated substring.
Teacher: Now, understand the problem? If you are still confused, see the following example:
bYubMFxyTqR, AcDbMFxSnI
Solution: bYubfmxyTqR, AcDbfmxSnI
Reason: Here, 'bMFx' is the longest common substring in both the input strings 'bYubMFxyTqR' and 'AcDbMFxSnI'. Sorting it and converting to lowercase gives 'bfmx'. Replacing 'bfmx' instead of 'bMFx' in the two strings gives 'bYubfmxyTqR' and 'AcDbfmxSnI'
Now, solve this instance: yUqdLCvMLClJdvovJRgFwgUUk, nNgfGXhMMttIyJCOaLCvMLClJdvovJRgFwgLPrsSlKWPfjUUZVyzf
Student: | yUqdccdfggjjlllmorvvvwUUk, nNgfGXhMMttIyJCOaccdfggjjlllmorvvvwLPrsSlKWPfjUUZVyzf | 2 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
0.3785820007324219,
0.01625896990299225,
-0.3049607574939728,
-0.34707140922546387,
0.07936091721057892,
-0.4791724681854248,
0.29879993200302124,
0.2595674991607666,
0.32874056696891785,
0.11573927849531174,
-0.47031593322753906,
-0.23953068256378174,
-0.2594885528087616,
0.08850066363811... |
Detailed Instructions: 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.
Problem:किसान चाची ने अपने इलाके की 300 महिलाओं को Sel elp Group से जोड़ा और आर्थिक रूप से स्वावलंबी बनाने के लिए प्रेरित किया।
Solution: | किसान चाचीने आपल्या भागातल्या 300 महिलांना स्वयंसहायता गटाशी जोडून आर्थिक दृष्ट्या स्वावलंबी बनण्यासाठी प्रेरित केलं आहे. | 8 | NIv2 | task1081_pib_translation_hindi_marathi | zs_opt | [
-0.19897931814193726,
0.5566180348396301,
0.198615163564682,
-0.10253354907035828,
-0.3197595477104187,
-1.2575181722640991,
1.2838793992996216,
0.7981153130531311,
-0.26853448152542114,
-0.24247846007347107,
-0.8342100381851196,
0.08046074211597443,
-0.7862125635147095,
-0.158972397446632... |
Definition: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
Input: Comment: 1. BC government associated and imported crooks to buy up housing in Vancouver, one of it is Mayor's girlfriend mom.
2. BC government has been trying to divert attention the truth how many properties and money they have gained and owned, by letting speculators messing the situation.
Output: | Non-identity-attack | 2 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-0.7289177179336548,
0.3225039541721344,
0.3209637999534607,
0.27579671144485474,
0.02824012003839016,
0.15924395620822906,
0.6058064699172974,
0.9025908708572388,
0.37546899914741516,
0.1884796917438507,
0.09756582230329514,
-0.21031595766544342,
-0.48159414529800415,
-0.731515645980835,
... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
و من به آنها راه دسترسی همه روزه به خودم را دادم به همین دلیل است که همگی آنها شماره موبایل من را دارند ، همه دانش پزوهان و همه ی فارغ التحصیلان — و احتمالن به همین دلیل است که من تماس و پیام دارم در ساعت ۳ صبح.
A: | 先生たちは毎日私に連絡を取れるようになっていてみんな私の携帯の番号を知っています本校の学徒たちと卒業生にも知らせていますそれがおそらく電話やテキストメッセージが午前３時に来る理由でしょう | 7 | NIv2 | task1266_ted_translation_fa_ja | zs_opt | [
-1.088260293006897,
0.20436060428619385,
-0.3967086374759674,
-0.9128087759017944,
-1.5379469394683838,
-0.30098071694374084,
1.0244141817092896,
-0.2460131049156189,
0.4959949254989624,
-0.839621365070343,
-0.31483662128448486,
1.1198973655700684,
-0.07179015874862671,
-0.0136821139603853... |
In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a _ .
Example: For four years we have waited expectantly for the pitter patter of tiny paws. Soon, that wait could finally be over. Tian Tian, the UK's only female giant panda, has conceived and could give birth to a cub as early as August. However Edinburgh Zoo, where the pandas live, have warned people 'not to get too excited' as the process is 'extremely complex'. Moreover, on the two previous occasions keepers inseminated Tian Tian - whose name means 'Sweetie' - she has failed to produce a panda cub. She was artificially inseminated again in March this year, but keepers at the zoo say implantation - when a fertilised egg attaches to the uterus - has not yet occurred.Tian Tian has conceived and could give birth to a cub as early as August. She has been inseminated twice before but so far failed to produce a cubTian Tian and Yang Guang arrived in 2011 from China to great fanfareOn loan at £600k a year, became first giant pandas to live in UK for 17 years
Example solution: Under the terms of the agreement any cubs will return to _ at the age of two, the age at which they would normally leave their mother in the wild.
Example explanation: This is a good example. Based on the passage you can answer this question.
Problem: (CNN) President Donald Trump spoke out Tuesday against a series of recent threats against Jewish Community Centers and other Jewish institutions, but advocacy groups and political opponents said his remarks did not go far enough and are now urging a more robust federal response. The Anne Frank Center for Mutual Respect delivered a searing statement late Tuesday morning, accusing the White House of tacitly embracing anti-Semitism with its earlier silence and for failing to specifically cite the Jewish people in its International Holocaust Remembrance Day statement last month. "The President's sudden acknowledgment is a Band-Aid on the cancer of anti-Semitism that has infected his own administration," the group's executive director, Steven Goldstein, said in a social media post. "(Trump's) statement today is a pathetic asterisk of condescension after weeks in which he and his staff have committed grotesque acts and omissions reflecting anti-Semitism, yet day after day have refused to apologize and correct the record."Trump denounced anti-Semitism on Tuesday morningThe President has been presented with opportunities to denounce the threats before
| Solution: The statement continued: "Make no mistake: The anti-_ coming out of this administration is the worst we have ever seen from any administration. | 5 | NIv2 | task301_record_question_generation | fs_opt | [
0.017600253224372864,
0.734014093875885,
-0.1505059003829956,
0.4564279317855835,
-0.19468183815479279,
-0.014573290944099426,
0.6397209763526917,
1.068354606628418,
-0.10204942524433136,
0.677655041217804,
0.39705926179885864,
0.5299026370048523,
-1.2302908897399902,
-0.1844009906053543,
... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: [-203, -396, -149, 749, 883, -355, -264, 406, 961, -695, 393, -229, 556, -862, 316]
Student: | [393] | 6 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-0.5662323236465454,
-0.1778448075056076,
-0.17208263278007507,
-0.6386646032333374,
-0.4878796339035034,
0.6334513425827026,
0.9750016331672668,
0.13952630758285522,
-0.7377245426177979,
0.2700795531272888,
-0.3767135739326477,
-0.41815507411956787,
0.010138217359781265,
-0.55268555879592... |
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.
Example Input: Context: To study the effect of Cleistocalyx nervosum extract (CE) on diethylnitrosamine (DEN) and phenobarbital (PB) induced oxidative stress in early stages of rat hepatocarcinogenesis.', 'Male Wistar rats were divided into 4 groups, with Group 1 as a negative control and Group 2 was a positive control receiving DEN injections once a week and PB in drinking water for 6 weeks. Two weeks before DEN initiation and PB treatment, Groups 3 and 4, were fed with 500 and 1000 mg/kg of CEs, respectively, for 8 weeks.', 'A number of GST-P-positive foci, preneoplastic lesions, in the liver were markedly increased in carcinogen administered rats, but was comparatively decreased in rats treated with 1000 mg/kg of CE. The CE reduced malondialdehyde in serum and in the livers of rats treated with DEN and PB. Moreover, CE significantly increased the activities of glutathione peroxidase and catalase in rat liver.
Answer: CE appeared to exert its chemopreventive effects by modulating antioxidant status during DEN and PB induced early stages of hepatocarcinogenesis in rats.
Example Output: Does cleistocalyx nervosum extract ameliorate chemical-induced oxidative stress in early stages of rat hepatocarcinogenesis?
Example Input: Context: To compare the frequency of Pap test results in a prospective series of direct to vial ThinPrep tests to a cohort of conventionally prepared tests. To follow-up all test results for a minimum of 2 years and assess performance based on this outcome.', 'All women presenting for either routine screening or colposcopic examination in 2001 were enrolled in the ThinPrep cohort. A similar, population of conventionally prepared tests was extracted from the year 2000 laboratory data. Information on all concurrent and follow-up cervical specimens over the ensuing 2 years was retrieved.', 'The ThinPrep cohort comprised 2288 Pap tests and the conventional, 2211. The frequency of normal [within normal limits (WNL) and benign cellular changes (BCC)] results in the ThinPrep cohort was 6% lower and the frequency of abnormal [> or =atypical squamous cells of undetermined significance (ASCUS)] results was 6.8% higher. Respective ThinPrep and conventional cohort results were 1156 (51%) and 1291 (58%) WNL, 625 (27%) and 561 (25%) BCC, 101 (4%) and 65 (3%) ASCUS, 21 (1%) and 2 (0.1%) atypical glandular cells of undetermined significance, 301 (13%) and 224 (10%) low-grade squamous intraepithelial lesion (LSIL), and 74 (3%) and 40 (2%) high-grade SIL (HSIL) (P < 0.0001). Follow-up was available for nearly 80% of each cohort. LSIL or higher was confirmed in 57.5% (n = 266) of the abnormal ThinPrep and 60.9% (n = 190) of the abnormal conventional tests. The ThinPrep yield of confirmed tests however was almost 50% higher than the conventional test.
Answer: In this population, ThinPrep was superior to the conventional Pap test.
Example Output: Does comparative study of the ThinPrep Pap test and conventional cytology result in a Canadian cohort?
Example Input: Context: Sphingosine 1-phosphate is a naturally occurring biologically active lysophospholipid. Recent studies suggested that sphingosine 1-phosphate is released into the blood flow from activated platelets upon stimulation to exert multiple biological phenomenon. The purpose of this study was to assess the effects of sphingosine 1-phosphate on sinus automaticity, ventricular contraction and coronary blood flow.', 'The canine isolated, blood-perfused sinoatrial node and papillary muscle preparations were used.', 'Sphingosine 1-phosphate increased the sinoatrial rate, while it decreased the coronary blood flow, which was followed by a weak negative inotropic effect. These positive chronotropic and coronary vasoconstrictor effects were not attenuated by the beta- and alpha-adrenoceptor antagonists atenolol and prazosin, respectively. Furthermore, sphingosine 1-phosphate did not affect the adenylate cyclase activity of the membrane preparations made from the canine right atrium and right ventricle, indicating the involvement of a novel signaling pathway in sphingosine 1-phosphate-induced cardiac effects.
Answer: These results may provide a clue to better understanding the physiological as well as the pathophysiological regulation of sphingosine 1-phosphate in the heart.
Example Output: | Does sphingosine 1-phosphate induce sinus tachycardia and coronary vasoconstriction in the canine heart?
| 3 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
0.715460479259491,
0.1735900342464447,
-0.728982150554657,
0.06645286828279495,
0.7626559734344482,
-1.0338058471679688,
0.7977533340454102,
0.8279687166213989,
-0.23927883803844452,
0.8981214761734009,
-0.5463685989379883,
0.2714076042175293,
-1.1271641254425049,
0.23499387502670288,
-0... |
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Q: Question: Mike weighs 90 pounds and Tom weighs 200 pounds. Who likely experiences less friction on the Earth?
Option1: Mike
Option2: Tom
Explanation: Heavier objects press together with greater force, and this causes greater friction between them.
A: | Mike | 4 | NIv2 | task178_quartz_question_answering | zs_opt | [
-0.4720975458621979,
0.6813950538635254,
0.1198733001947403,
-0.39227789640426636,
-0.40011081099510193,
-1.0244314670562744,
0.2816123962402344,
0.6252385377883911,
0.6996839046478271,
0.3775429129600525,
-0.611496090888977,
0.060346003621816635,
-0.4677548110485077,
0.39743584394454956,
... |
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)].
['let', 'f', 'of', 't', 'equal', 'e', 'to', 'the', '2t', 'minus', '2t', 'squared', 'and', 'H', 'of', 'T', 'equal', '4', 'minus', '5t', 'squared', 'the', 'graphs', 'of', 'y', 'equals', 'f', 'of', 'T', 'and', 'y', 'equals', 'H', 'of', 'T', 'are', 'shown', 'below', 'so', 'y', 'equals', 'f', 'of', 'T', 'is', 'here', 'in', 'green', 'so', 'this', 'is', 'really', 'y', 'is', 'equal', 'to', 'e', 'to', 'the', '2t', 'minus', '2t', 'squared', 'and', 'we', 'see', 'f', 'of', 'T', 'right', 'over', 'there', 'and', 'Y', 'is', 'equal', 'H', 'of', 'T', 'is', 'shown', 'in', 'yellow', 'all', 'right', 'now', 'below', 'that', 'they', 'say', 'which', 'of', 'the', 'following', 'appear', 'to', 'be', 'solutions', 'of', 'e']
['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', 'CASE_DIFF', 'NO_DIFF', 'CASE_DIFF', 'NO_DIFF', 'DIGIT_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_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', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF']
['everything', 'in', 'human', 'experience', 'and', 'really', 'human', 'history', 'or', 'human', 'civilizations', 'experience', 'is', 'that', 'everything', 'seems', 'to', 'fall', 'to', 'the', 'earth', 'that', 'if', "it's", 'if', 'they', 'have', 'water', 'particles', 'they', "don't", 'just', 'if', "they're", 'large', 'enough', 'they', "don't", 'just', 'float', 'up', 'they', "don't", 'if', "they're", 'small', 'enough', "they're", 'being', 'held', 'up', 'by', 'the', 'wind', 'and', 'all', 'of', 'that', 'but', 'if', "they're", 'if', "they're", 'large', 'enough', 'if', "they're", 'large', 'enough', 'they', 'will', 'fall', 'that', 'you', "don't", 'have', 'people', 'that', 'are', 'able', 'to', 'just', 'float', 'around', "they'll", 'fall', 'you', "don't", 'have', 'taxicabs', 'that', 'float', 'around', "they'll", 'fall', 'and', 'not', 'only', 'will', 'the']
['CASE_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', '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', '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', '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', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF']
['on', 'Saturday', "William's", 'parents', 'gave', 'birth', 'to', 'twins', 'and', 'name', 'them', 'Nadia', 'and', 'Vanessa', 'when', 'they', 'were', 'first', 'born', 'Nadia', 'weighed', '7.27', 'pounds', 'and', 'was', '21.5', 'inches', 'tall', 'and', 'Vanessa', 'weighed', '8.34', 'pounds', 'how', 'much', 'did', 'the', 'babies', 'weigh', 'in', 'total', 'so', 'they', 'tell', 'us', 'Nadia', 'weighed', '7.27', 'and', 'Vanessa', 'weighed', '8.34', 'we', 'have', 'to', 'add', 'those', 'up', 'and', 'really', 'they', 'just', 'gave', 'us', 'this', 'the', 'length', 'of', 'Nadia', 'at', 'Birth', 'really', 'as', 'a', 'distraction', 'just', 'so', 'that', 'we', 'just', "don't", 'mindlessly', 'add', 'any', 'numbers', 'we', 'see', 'so', 'this', 'is', 'really', 'unnecessary', 'information', 'just', 'to', 'distract', 'us', 'so', 'we', 'need']
| ['CASE_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'STEM_BASED_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_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', 'PUNCUATION_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', 'PUNCUATION_DIFF', 'CASE_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', 'PUNCUATION_DIFF', 'CASE_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_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', 'PUNCUATION_DIFF', 'CASE_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']
| 0 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.39639812707901,
-0.3697676360607147,
0.0049289437010884285,
0.06939980387687683,
0.8456616997718811,
0.05929947644472122,
0.5985892415046692,
1.232492208480835,
-0.20995619893074036,
0.36372971534729004,
-0.037946101278066635,
-0.32146310806274414,
-0.1626521646976471,
-0.074710652232170... |
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
One example: 2, 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Solution is here: 34, 7, 762
Explanation: Here, starting from 2nd element every 3rd element from the list are '34', '7', and '762'.
Now, solve this: 1, 3, ['3579', '2337', 'z', '149', '553', '681', 'K', '5035', 'q', '8265', '217', 'f', 'I', 'v', 'o']
Solution: | 3579, 149, K, 8265, I | 6 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
-0.1163373738527298,
0.34807443618774414,
-0.6877619624137878,
-0.9135593175888062,
-0.41332030296325684,
0.0016989383148029447,
0.9967051148414612,
-0.148509681224823,
-0.12500473856925964,
-0.1990068554878235,
-0.5890506505966187,
-0.07110586762428284,
-0.13969430327415466,
0.15227453410... |
Given the task definition and input, reply with output. In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.
My sister was 6 years old when she learned to tie her bike.
(A) Bikes cannot be tied
(B)Sisters do not learn to tie bikes
(C)Bikes can't be 6 years old
| A | 5 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | zs_opt | [
-0.16285525262355804,
1.117326021194458,
-0.18495625257492065,
-0.33956533670425415,
0.15892654657363892,
-1.0149023532867432,
0.01042000949382782,
0.976662278175354,
0.30939942598342896,
0.2719894051551819,
-0.6870070695877075,
0.5587068796157837,
0.10072722285985947,
-0.26625460386276245... |
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
Q: Title: Stuffed Bear. Sentence 1: My son has a small stuffed bear. Sentence 2: He sleeps with it at night. Sentence 3: The bear had a small rip in its back. Sentence 4: I sewed it back together. Sentence 5: It lost some of its stuffing.
A: | 12354 | 4 | NIv2 | task217_rocstories_ordering_answer_generation | zs_opt | [
-0.33115100860595703,
0.42483988404273987,
0.005262694321572781,
-0.6902638077735901,
-0.25729113817214966,
0.5244928002357483,
0.42766135931015015,
0.7629351615905762,
-0.09846800565719604,
-0.14079642295837402,
-0.6434237957000732,
-0.18366888165473938,
-1.174859642982483,
0.375140070915... |
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".
The writer is that gets you so involved. | unacceptable | 0 | NIv2 | task616_cola_classification | zs_opt | [
-0.7222346067428589,
0.6446515321731567,
0.8381226658821106,
-0.46075165271759033,
-0.09314514696598053,
-0.7897596955299377,
0.638877809047699,
0.06374625861644745,
0.3246847987174988,
-0.047422733157873154,
-1.0293161869049072,
-0.19983145594596863,
-0.4021279513835907,
-0.06556294858455... |
Detailed Instructions: In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
Q: How do I extinguish a fire
A: | Grab a fire extinguisher and release the pin | 9 | NIv2 | task080_piqa_answer_generation | zs_opt | [
0.11232683062553406,
0.35581475496292114,
-0.3786945044994354,
-0.3267883062362671,
-0.7100684642791748,
-0.898290753364563,
-0.49921831488609314,
0.24772806465625763,
-0.12798145413398743,
0.3491196036338806,
-0.410227507352829,
-0.07725759595632553,
-0.6313294768333435,
0.229665726423263... |
Given the task definition and input, reply with output. You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
ככה הגעתי להרצות לכם כאן.
| جئت إليكم لأتحدث هكذا | 5 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.6027828454971313,
0.8215762376785278,
0.26544874906539917,
-0.3304841220378876,
-0.6321232318878174,
0.16924025118350983,
0.49438732862472534,
-0.4068407416343689,
1.0623034238815308,
-0.4225371778011322,
-0.533157467842102,
0.24137639999389648,
-0.5965250730514526,
0.4072202444076538,
... |
Q: 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.
如果您需要开车,您应该找到您的车钥匙。
A: | 如果你想开车,那你应该找到你的车钥匙 | 7 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-0.6436759233474731,
0.2876601219177246,
-0.29653358459472656,
-0.4799491763114929,
-0.42976129055023193,
-0.09518270939588547,
0.6668047904968262,
0.5296225547790527,
0.34406954050064087,
-0.40167465806007385,
-0.44805651903152466,
-0.15853580832481384,
-0.17636801302433014,
0.50400102138... |
Detailed Instructions: The input is a conversation between an automated system and a user, followed by a question. The user is looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Similarly, the user may ask details of the place suggested by the system such as phone number, address, etc. The answer of the question has to be a Yes or a No. Given such a dialogue, answer the given question based on the information present in the dialogue.
Problem:System: 'Thank you for calling the Cambridge Information system. Your call will be recorded for research purposes. You may ask for information about a place to eat, such as a restaurant, a pub, or a cafe. How may I help you?'
User: 'static'
System: 'What kind of venue are you looking for? For example, a pub.'
User: 'middle eastern restaurants'
System: 'Al Casbah, which serves mediterranean and middleeastern food, is an outstanding restaurant.'
User: 'any price range'
System: 'Al Casbah is a great venue. The price for main courses ranges from 8 pounds 95 to 12 pounds 95.'
User: 'what is the address phone number'
System: 'Al Casbah is located on 62 Mill Road and its phone number is 01223579500.'
User: 'what is the price'
System: 'Al Casbah is a great venue. The price for main courses ranges from 8 pounds 95 to 12 pounds 95.'
User: 'thank you good bye'
Question: 'Did the user mention any cuisine preferences?'
Solution: | Yes | 8 | NIv2 | task1501_dstc3_answer_generation | zs_opt | [
0.6122144460678101,
0.23307354748249054,
-0.5917049646377563,
0.08559611439704895,
-0.26051732897758484,
-0.48022180795669556,
0.16777750849723816,
0.5235590934753418,
-0.39525899291038513,
0.5771439075469971,
0.6077150106430054,
-0.24207979440689087,
-0.2612236738204956,
-0.26985320448875... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Myślimy, że możemy sprawić, by chłodzenie było dostępne dla wszystkich. | E cremos que podemos facer que todo o mundo teña refrixeración. | 0 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
-0.7457706928253174,
0.6298913955688477,
0.14272025227546692,
-0.23776176571846008,
0.23643875122070312,
-1.1621127128601074,
0.8682236671447754,
-0.6260021924972534,
0.0405401885509491,
-0.45010584592819214,
-0.051571957767009735,
0.029525987803936005,
-0.48785391449928284,
0.545446991920... |
Teacher: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
Teacher: Now, understand the problem? If you are still confused, see the following example:
['238', 'h', '92', 'U', '2799']
Solution: 3
Reason: Here, the numbers in the input list are '238', '92' and '2799', hence their count is 3.
Now, solve this instance: ['t', '405', '7365', '7853', 'c', 'r', '2857', 's', '2661', 'E', '3131']
Student: | 6 | 2 | NIv2 | task505_count_all_numerical_elements_in_list | fs_opt | [
-0.5527371168136597,
0.15548613667488098,
-0.3008008599281311,
-0.5209675431251526,
0.1318109929561615,
-0.7989406585693359,
0.01859491877257824,
-0.12151286005973816,
-0.8264838457107544,
0.6700184345245361,
-0.29725807905197144,
0.03139084577560425,
0.3721255958080292,
-0.182410880923271... |
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Input: Consider Input: Two of the animals on the Isle of Rum died after becoming snarled up together in discarded fishing rope. Another of the deer was photographed with rope and an orange buoy in its antlers. The images have been published by Scottish Natural Heritage (SNH), which manages Rum National Nature Reserve. The photographs were taken a year ago, but only released now following rising concerns about marine pollution. Lesley Watt, reserve manager on Rum for SNH, said: "Marine litter is a huge international problem. But small actions can make a big difference, and everyone has a part to play. "Along with many organisations, SNH recently joined the campaign to bin plastic straws; and we're cutting down on disposable plastics by providing our staff with re-useable travel cups. "If you use your own bag for life when shopping, or take litter home after a day at the beach, you could help save an animal's life." The island's population of red deer have been the subject of scientific research since the 1950s. Researchers study the animals to better understand their behaviour and the effects of climate change on deer. Dr Richard Dixon, of Friends of the Earth Scotland, said the photographs of the red deer were a "strong Scottish symbol of a wasteful attitude" to the world's resources. He said: "We are used to some of the images of seabirds and some marine mammals and turtles being affected by plastic waste, but this is very much closer to home. "These are big mammals being affected by stuff that people have just discarded in the marine environment." Eaten plastic Concerns about the level of pollution in the sea off Scotland, and along its coast are increasingly being raised. This week, a group of volunteers gathered more than 600kgs of rubbish from the shore at Red Point, Gairloch, in Wester Ross. Last summer, scientists said some of the world's deepest living sea creatures had been found to have eaten microscopic pieces of plastic waste. Researchers at the Scottish Association for Marine Science (SAMS) in Oban sampled starfish and snails from the Rockall Trough off the Western Isles. Tiny pieces of plastic were found in 48% of the sample animals that live more than 2,000m (6,561.8ft) down. Also last year, researchers said most of the seabirds examined for a study into the effects of marine plastic pollution had swallowed plastic. Researchers, including scientists from North Highland College UHI's Environmental Research Institute in Thurso, investigated 34 species. They found 74% of them had ingested plastic. The research involved seabird colonies in northern Europe, Russia, Scandinavia, Greenland, Svalbard, the Faroes and Iceland.
Output: Stags on Rum found tangled in discarded fishing gear
Input: Consider Input: John Ward has been voted in as the leader at Conservative-run Babergh District Council. It follows tensions at the council over plans to merge with Mid Suffolk District Council, which led to Jennie Jenkins stepping down last month. In 2011, Babergh residents voted 61% to 39% against the merger. Since then the two councils have begun sharing many services - including one chief executive, integrated departments and the headquarters of both moving to Ipswich, which is not in either district. However, the two authorities have retained their separate political structures and councillors. 'Great exception' Ms Jenkins resigned as Babergh leader following an opposition motion critical of the failure to commit to a second referendum. Babergh's full council met on Thursday and Mr Ward was the only nominee for leader. He said the council was currently putting together a business case for the merger. "The public will have that vote once we have all the information, so they can be in a very informed position," he said. Tony Bavington, Labour group leader, said: "I and other members took great exception to the attempt by the Conservative cabinet to merge when we had a clear majority of the public voting against it in 2011. "There has to be another referendum before any merger." David Busby, Liberal Democrat councillor, said: "Most of us think we should be looking beyond merger and looking at unitary councils."
Output: Babergh's new leader pledges fresh merger referendum
Input: Consider Input: By Victoria PrestBBC Local News Partnerships Church Action on Poverty said the amount of Local Welfare Assistance cash has slumped from £172m to £46m since 2013. It has ended completely in more than 20 of 153 areas surveyed. Only two councils - Islington and North Tyneside - have increased funding. Similar research by the Children's Society claims the number of people getting crisis support has fallen 75 per cent since 2013. It estimates more than a quarter of almost 100,000 applications turned down last year were from families with children. Local Welfare Assistance Schemes (LWAS) replaced the national Social Fund in 2013, with responsibility for distributing cash passing to English local councils. The government stopped providing a ring-fenced grant for the schemes in 2015. Both Scotland and Wales still run national social funds, with the Scottish Welfare Fund (SWF) distributing grants of almost £165m between April 2013 and March 2018. Niall Cooper, director of Church Action on Poverty, said: "A compassionate society ensures people can access help in times of crisis. "That's what the Social Fund was there for; to help people stay afloat in turbulent times. "The lifeline has been allowed to disintegrate, meaning people in sudden need are swept deeper into poverty." Local welfare schemes are aimed at people in short-term crisis - offering support at times such as a sudden bereavement, a broken boiler, or having to move out of a rented home. Devon County Council passed £1.4m on to its eight district authorities in 2013-14, but by 2016 five had cut their support. Among them was South Hams District Council, which said it closed the scheme when funding ran out. Janie Moor, the chief officer of Citizens Advice for South Hams, said the focus was now "keeping a roof over someone's head" through alternative funding schemes such as Discretionary Housing Payments and council tax payments. One CAB advisor with 15 years of experience in South Hams said losing the LWAS has caused "a lot of problems". She added: "A lump sum was allocated at the beginning of the [financial] year so we knew that if we made an application for a client in April or May we had a good chance of getting something, but if it was in February the money would have run out." "You were always expected to get second-hand stuff, but it was better than nothing." In response, senior councillor Hilary Bastone said: "We continue to do our best to help wherever we can, within our limited budget." Charity research Church Action on Poverty questioned 163 councils in 2018, receiving responses from 153. It found more than 20 English councils had closed their funds, including Bexley, Bournemouth, Haringey, Hillingdon, North East Lincolnshire, Stoke-on-Trent, Oxfordshire, Nottinghamshire, North Lincolnshire and Nottingham. In Greenwich, the Local Democracy Reporting Service revealed a plan to scrap the scheme was reversed last month when councillors decided to use higher-than-expected business rate income to maintain the fund. Only Islington and North Tyneside are believed to have increased the level of funding since 2013. Church Action on Poverty is now calling on councils to maintain or strengthen their crisis support, while also asking for new laws to force authorities to provide grants, loans and in-kind help when people need it. In Lincolnshire, where LWAS support ran dry in December 2016, the county council said support had continued in other ways. Sue Woolley, executive councillor for community engagement, said: "This year, as well as providing £278,000 in core funding for the Citizen's Advice service, we have provided one-off additional funding of £53,000 to provide additional support relating to welfare reform, including Universal Credit." But Simon Hoare, chief executive of Lincoln's Acts Trust, a charity that runs a furniture project and offers financial advice, said even though charities and local groups tried to meet the basic needs such as food and furniture there were still gaps in support. He said: "The issue hasn't gone away. People don't suddenly no longer need crisis support." Local Government Minister Rishi Sunak MP said: "Local authorities are democratically-elected, independent bodies that are responsible for setting their own budgets and managing their resources in line with local priorities, which can include Local Welfare Provision Schemes."
| Output: Welfare funding stopped by at least 20 English councils
| 2 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
-0.05800075829029083,
0.12297727167606354,
-0.50663161277771,
-0.3836580514907837,
0.48532533645629883,
-0.9737849831581116,
-0.25319698452949524,
0.6100390553474426,
-0.8050433397293091,
0.6570460200309753,
0.15691979229450226,
0.6769242286682129,
-0.25676625967025757,
0.8153055310249329,... |
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 happens after the Tail or not. 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 cuts the ribbon<sep>Tail: PersonX opens a store
Solution: Yes
Why? This is a good example. The Head happens after the Tail.
New input: Head: PersonX parks PersonY's car<sep>Tail: PersonX works at a party
Solution: | Yes | 0 | NIv2 | task1205_atomic_classification_isafter | fs_opt | [
0.14786148071289062,
0.26107197999954224,
0.29453587532043457,
0.07081621140241623,
-0.5493564009666443,
-0.39622923731803894,
0.8350487351417542,
0.739498496055603,
-0.4480510950088501,
-0.06725838035345078,
-0.262035071849823,
-0.8101823329925537,
-0.3747279644012451,
0.43953484296798706... |
Detailed Instructions: In this task, you will be presented with a text and a pronoun. You should write an implausible answer to the question of what is the pronoun's reference. Even though there exist multiple wrong answers, we only need a single wrong answer. Position of the pronoun in the text is showed within two "_"s.
Q: At some point, she was no longer recognized as the champion and defeated Penny Mitchell to become the champion again in Kansas City, Missouri on April 10, 1987. The Kansas City promotion withdrew from NWA in 1987 and closed in 1988. The NWA vacated Combs' title and awarded Misty Blue Simmes the reinstated NWA United States Women's Championship (a replacement of the prior NWA World Women's Championship held by Combs). Combs challenged Simmes to a title match at a Delta Tiger Lilies card in 1989, but Simmes was unable to accept due to an arm injury _she_ had sustained. <sep>, Pronoun: she
A: | Combs | 9 | NIv2 | task331_gap_incorrect_answer_generation | zs_opt | [
-0.4552482068538666,
0.7682759761810303,
-0.19202247262001038,
0.20872221887111664,
0.2530573606491089,
-0.4467252492904663,
1.0880064964294434,
0.5179185271263123,
1.1200010776519775,
0.08561533689498901,
-0.5151411294937134,
0.6029067039489746,
-0.21327029168605804,
-0.22686466574668884,... |
Q: In this task, you are presented with a term, a question, and a yes/no answer. For context, the term is associated with a short description. Write the simple facts one needs to know in order to answer the given question. The facts should be easily found on the web (e.g. mentioned in a Wikipedia page)
Term: Penny, Description: unit of currency in various countries, Question: Can a penny conduct electricity?, Answer:Yes
A: | Fact1: The penny was originally made of copper but changed to mostly zinc after 1982. Fact2: Zinc is a moderately good conductor of electricity Fact3: Copper is a good conductor of electricity because of its huge charge density allowing more electrons to flow in its conducting system. | 7 | NIv2 | task169_strategyqa_sentence_generation | zs_opt | [
-0.38514629006385803,
0.8157526254653931,
0.0953042209148407,
0.03781282901763916,
-0.46226340532302856,
-1.4173303842544556,
0.04440858215093613,
0.4351758658885956,
0.5199223160743713,
0.2993592619895935,
0.012316141277551651,
0.8865005970001221,
0.1590539813041687,
-0.4177097678184509,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Ex Input:
太古の祖先たちは彼らの生活や住居が危機に晒された時より良い定住先を求めて見知らぬ土地へと突き進んで行きました
Ex Output:
Nuestros antepasados primitivos, al ver sus hogares y medios de vida en peligro, se atrevieron a adentrarse en territorios desconocidos en busca de mejores oportunidades.
Ex Input:
ご存知のない方あとで教えて差し上げますよ
Ex Output:
Si no la conocen, se las enseño más tarde.
Ex Input:
その３ 「自由回答の質問をすること」
Ex Output:
| Número tres: Usen preguntas abiertas.
| 1 | NIv2 | task1223_ted_translation_ja_es | fs_opt | [
0.005415473133325577,
0.22667759656906128,
-0.3066491484642029,
-0.18193474411964417,
-0.22599248588085175,
-0.7641711831092834,
0.24944615364074707,
0.5763561725616455,
-0.15351620316505432,
-0.20875237882137299,
-0.61142897605896,
0.034777238965034485,
-1.250754475593567,
-0.640494465827... |
Teacher: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".
Teacher: Now, understand the problem? Solve this instance: Japanese: ２番目の爆発は数分後にCantonment鉄道駅で起こって駅長室の外に穴を残し、３番目はニューデリーに向けて出発したShivGanga特急で起こった。
Thai: ซูดาน เป็นหนึ่งในสิบสี่ประเทศที่ผู้โดยสารที่จะมุ่งหน้าไปสหรัฐฯ จะต้องรับการตรวจค้นเพิ่มเติมอย่างรัดกุมที่ฝ่ายความปลอดภัยสนามบิน
Student: | No | 6 | NIv2 | task1129_alt_ja_th_answer_generation | zs_opt | [
-0.16616755723953247,
-0.1844826191663742,
0.15245281159877777,
-0.2814667820930481,
0.19840319454669952,
-0.5450739860534668,
0.6368319392204285,
0.4955986440181732,
-0.4094513952732086,
-0.699439287185669,
0.10998331010341644,
0.337859570980072,
-0.04834698140621185,
0.008259530179202557... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
[EX Q]: وهو بالضبط ما تظهره السجلات الأركلوجية.
[EX A]: And this is exactly what the archeological record shows.
[EX Q]: عندما انتقلت للعيش في هراري سنة 1985 ، كانت العدالة الاجتماعيّة أساس السياسة الصحية الوطنية في زيمبابواي.
[EX A]: When I moved to Harare in 1985, social justice was at the core of Zimbabwe's national health policy.
[EX Q]: الآن هذه العلوم العامية.
[EX A]: | Now this is people science.
| 6 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
-0.4609127640724182,
-0.36828458309173584,
-0.21169546246528625,
-0.556804895401001,
-0.6367062330245972,
0.030226092785596848,
0.13682866096496582,
-0.04913533478975296,
0.32170796394348145,
-0.5258922576904297,
-0.2725784182548523,
1.0593374967575073,
-0.26985102891921997,
-0.00990808755... |
In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
Example: [9, 40, -33, 12, 17, -32, 40]
Example solution: 0
Example explanation: The minimum absolute difference is 0 because '40 - 40 = 0' and '40' appears in the list twice. So this is a good example.
Problem: [6, -24, 70, -61]
| Solution: 30 | 5 | NIv2 | task1445_closest_integers | fs_opt | [
-0.7293477058410645,
0.5151621103286743,
0.14290325343608856,
-0.19495949149131775,
-0.29034310579299927,
-0.44238895177841187,
0.8711555004119873,
0.28513026237487793,
0.5024795532226562,
-0.23546333611011505,
-0.37964189052581787,
-0.249862939119339,
-0.6942105293273926,
-0.2044211328029... |
Instructions: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
Input: ['d', 'm', '3907', '5609', 'b', '9695', 'G', '8471', 'q', 'c', '1239']
Output: | 6 | 3 | NIv2 | task504_count_all_alphabetical_elements_in_list | zs_opt | [
0.05460077151656151,
0.5306209325790405,
0.04719020053744316,
-1.039427638053894,
0.05578932911157608,
0.06396658718585968,
0.22516943514347076,
0.0009295307099819183,
-0.48273998498916626,
0.40372389554977417,
-0.7134795188903809,
0.14382952451705933,
0.4301298260688782,
-0.26828902959823... |
Instructions: Adverse drug reactions are appreciably harmful or unpleasant reactions resulting from an intervention related to the use of medical products, which predicts hazard from future administration and warrants prevention or specific treatment, or alteration of the dosage regimen, or withdrawal of the product. Given medical case reports extracted from MEDLINE, the task is to classify whether the case report mentions the presence of any adverse drug reaction. Classify your answers into non-adverse drug event and adverse drug event.
Input: A 13-year-old girl with acute lymphocytic leukemia was treated according to the protocol of the BFM Group (BFM-95, HRG).
Output: | non-adverse drug event | 3 | NIv2 | task1495_adverse_drug_event_classification | zs_opt | [
0.24330806732177734,
-0.2696964144706726,
-0.18101361393928528,
-0.9385461211204529,
-0.44513505697250366,
-0.7403868436813354,
0.18649551272392273,
1.024207592010498,
0.8379682898521423,
0.15190108120441437,
-0.8607235550880432,
0.4849509000778198,
-0.23364439606666565,
-0.216232880949974... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Mam na myśli: bądźcie obecni. | Quero dicir, estean presentes. | 0 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
-0.4938526153564453,
0.7736736536026001,
-0.03632238134741783,
-0.675021767616272,
-0.3147733211517334,
-0.7970671057701111,
0.3252516984939575,
-0.3182736337184906,
0.5968012809753418,
0.1314466893672943,
-0.7893602848052979,
0.369732528924942,
-0.5737414360046387,
-0.02796267718076706,
... |
In this task your given two statements in Estonian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Kaks last kummardusid üheaegselt, et maast pall võtta.
Nad lõid pead kokku. | effect | 0 | NIv2 | task969_xcopa_commonsense_cause_effect_et | zs_opt | [
-0.029951391741633415,
1.0464892387390137,
-0.4128098487854004,
-0.5498104095458984,
-0.4553285241127014,
-0.4947764277458191,
0.9560561776161194,
0.5964834690093994,
0.19878575205802917,
0.2094617336988449,
-0.2784830629825592,
0.6542810201644897,
-1.1101986169815063,
0.38789650797843933,... |
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