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 |
|---|---|---|---|---|---|---|
Q: In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link information to create the question. Note that the answer to the question should be exactly the given answer, and if the answer is none, the answer to the question shouldn't be obtainable from the context or linked information.
Context: He was educated privately and at Tollington School. Link Information: Tollington School (1901-1967) was a selective, coeducational grammar school in Muswell Hill, London, England. Answer: London, England
A: | What town did W. J. MacQueen-Pope attend private school in? | 7 | NIv2 | task235_iirc_question_from_subtext_answer_generation | zs_opt | [
-0.3042064905166626,
1.0090842247009277,
0.7343147397041321,
-0.3550128638744354,
0.5385538339614868,
-0.868464469909668,
-0.40806159377098083,
0.34195971488952637,
-0.024926360696554184,
-0.2508266866207123,
-0.14640407264232635,
0.2945357859134674,
-0.9078679084777832,
-0.238064065575599... |
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
name something you see or hear that reminds you of an ex
song
although it was nice to be a kid, name a part of childhood you'd never want to go through again.
school
tell me something that would get you thrown out of most bars
| getting in a fight
| 0 | NIv2 | task820_protoqa_answer_generation | fs_opt | [
-0.14659437537193298,
1.2654026746749878,
-0.547399640083313,
-0.17441274225711823,
-0.6898471713066101,
-0.7763611078262329,
1.1680166721343994,
0.5698572993278503,
0.10805928707122803,
-0.03693654015660286,
-0.15487277507781982,
0.08887453377246857,
-0.8771809935569763,
-0.10347820073366... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Sentence: The cook is talking to the cashier as he put too much salt in one dish.
Profession: cook
Output: | Identifiable | 1 | NIv2 | task350_winomt_classification_gender_identifiability_pro | zs_opt | [
-0.7895064949989319,
0.6425087451934814,
-0.43545466661453247,
-0.27360522747039795,
0.24044430255889893,
0.24526499211788177,
0.0978514552116394,
0.6347824335098267,
0.23319409787654877,
0.10116297006607056,
-0.49974897503852844,
0.39323437213897705,
-0.3544997572898865,
-0.15830160677433... |
Q: In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returned.
[269, 961, 369, 251, 346, 762, 233, 852]
A: | [269, 251, 233] | 7 | NIv2 | task366_synthetic_return_primes | zs_opt | [
-0.25583416223526,
0.498240202665329,
-0.31602251529693604,
-0.4026033282279968,
-0.03202589601278305,
-0.3937203288078308,
0.4422904849052429,
0.6728068590164185,
0.14064407348632812,
0.3105083107948303,
-1.0665333271026611,
-0.44572168588638306,
-0.1856372356414795,
-0.4957609176635742,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
One example is below.
Q: Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had been shopping for fruit to give Jon.
A: N
Rationale: Tom's reason for buying the fruit is not known.
Q: Sentence 1: Black dog running through grass with something orange in its mouth Sentence 2: A dog is running.
A: | C | 9 | NIv2 | task190_snli_classification | fs_opt | [
-0.38206663727760315,
-0.09243461489677429,
0.8245187401771545,
-0.05599483847618103,
0.39995667338371277,
-1.4446730613708496,
-0.4529837965965271,
0.7204229831695557,
0.12703770399093628,
0.30953264236450195,
-0.4407499134540558,
-0.5286364555358887,
-0.33273088932037354,
-0.689849376678... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Q: Vivemos numa galáxia, a Via Láctea.
A: אנו חיים בגלקסיה, גלקסיית שביל החלב.
****
Q: Todos podemos mudar o mundo.
A: כולנו יכולים לשנות את העולם.
****
Q: Este é o Coronel Picquart.
A: | זהו קולונל פיקאר
****
| 4 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
-0.7849056720733643,
0.6540732979774475,
0.7768540382385254,
-0.3354448974132538,
-0.2759389281272888,
-0.42479485273361206,
-0.12860682606697083,
0.11280637979507446,
0.7486494779586792,
-0.02728528529405594,
-0.49827340245246887,
-0.24595524370670319,
-0.8375997543334961,
0.2890361845493... |
Teacher: In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_contradicts_A'. If you cannot clearly ascertain agreement/disagreement between the two sentences, the label is ' B_neutral_A'.
Teacher: Now, understand the problem? If you are still confused, see the following example:
sentence_A: man is wearing a hard hat and dancing. sentence_B: There is no man with a hard hat dancing.
Solution: B_contradicts_A
Reason: The sentence B has opposite meaning as sentence_B says, "No man with a hat", but sentence_A says, "A man is wearing a hat", so B is contradicting A.
Now, solve this instance: sentence_A: A surfer is leaning on a surfboard. sentence_B: The surfer is leaning on a surfboard
Student: | B_entails_A | 2 | NIv2 | task1615_sick_tclassify_b_relation_a | fs_opt | [
-0.40586763620376587,
0.20790579915046692,
-0.4056095778942108,
-0.8410563468933105,
0.04842830449342728,
-0.3874548673629761,
-0.012796847149729729,
0.9168034195899963,
-0.11088041216135025,
-0.17851172387599945,
-0.5524996519088745,
-0.044179804623126984,
-0.08860500901937485,
-0.5297584... |
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Ex Input:
O bicicletă argintie este parcată într-o sufragerie.
Ex Output:
A silver bicycle is parked in a living room.
Ex Input:
Bărbatul bagă puiul într-un recipient.
Ex Output:
The man is putting chicken into the container.
Ex Input:
Un bărbat pe bicicletă lângă un râu.
Ex Output:
| A man on a bike nest to a river.
| 1 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | fs_opt | [
-0.8643598556518555,
0.4982959032058716,
-0.4018332362174988,
0.5187392830848694,
-0.3468610942363739,
-0.41013020277023315,
0.7162429094314575,
1.0369617938995361,
0.8059864044189453,
0.060860857367515564,
-0.10341288149356842,
0.9339371919631958,
-0.42682212591171265,
0.11323439329862595... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Example input: Sentence: 'a white cat on a desk near a computer monitor'. Count the number of vowels in the given sentence.
Example output: 16
Example explanation: This sentence has 5 occurrences of letter 'a', 4 of 'e', 2 of 'i', 4 of 'o', and 1 of 'u'. This adds up to 16. So, the answer is 16.
Q: Sentence: 'a person sitting at a table with some food'. Count the number of consonants in the given sentence.
A: | 20 | 3 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.3118881583213806,
0.4661007523536682,
-0.9539479613304138,
-0.5955638885498047,
0.0705692395567894,
0.15442410111427307,
-0.23518657684326172,
0.7800111770629883,
0.283377081155777,
-0.10904575139284134,
0.19019535183906555,
0.06927625834941864,
-0.19963911175727844,
-0.09480413794517517... |
In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
Input: Consider Input: اهواز یکی از کلانشهرهای ایران است، که در بخش مرکزی شهرستان اهواز قرار دارد و از سال ۱۳۰۳ تا کنون بهعنوان مرکز استان خوزستان شناخته میشود.جمعیّت این شهر طبق سرشماری مرکز آمار ایران در سال ۱۳۹۵ حدود ۱٬۱۸۴٬۷۸۸ نفر میباشد .که بهعنوان هفتمین شهر پرجمعیت ایران بهشمار میآید. شهر اهواز با مساحت ۱۸۶۵۰ هکتار، به عنوان یکی از شهرهای وسیع ایران (چهارمین شهر بزرگ ایران)، محسوب میشود.شرکت ملی مناطق نفتخیز جنوب بزرگترین تولیدکننده نفت ایران، شرکت ملی حفاری ایران بزرگترین شرکت حفاری کشور، شرکت فولاد خوزستان از تولیدکنندگان بزرگ فولاد خام کشور و برخی از بزرگترین کارخانههای مادر کشور از جمله شرکت گروه ملی فولاد ایران، شرکت لوله سازی اهواز، شرکت نورد و لوله اهواز، شرکت فولاد کاویان، شرکت لوله سازی خوزستان، شرکت سپنتا، شرکت راکتورساز، شرکت فولاد اکسین و… در اهواز قرار دارند. رودخانه کارون پرآبترین رودخانه ایران، با سرچشمه گرفتن از کوههای بختیاری، با ورود به اهواز، این شهر را به دو بخش شرقی و غربی تقسیم میکند.
Question: از چه سالی مرکز استان خوزستان قرار دارد؟
Output: سال ۱۳۰۳
Input: Consider Input: استاندارد ایزیری ۸۲۰ (ISIRI 820) استاندارد قرارگیری حروف فارسی در صفحه کلید ماشین تحریر بود که در سال ۱۳۵۲ به تصویب رسید. در ابتدا ماشین تحریر برای زبان عربی اقتباس گردید که با روش کاملاً غیرمنطقی و غیرعلمی حروف عربی بر روی کلیدها پراکنده شدهبودند و در نهایت همان ماشین تحریرها را با افزودن حروف مخصوص فارسی به ایران وارد شدند که نتیجهٔ کار باعث شد صفحه کلیدهای فارسی وارد شده به ایران برای زبان فارسی مناسب نباشند. چون استاندارد کردن تعداد و شکل حروف و اعداد و علامات در ماشینهای تحریر فارسی ضروری بود کمیسیونی از نمایندگان تولیدکنندگان و مصرفکنندگان و برخی اشخاص ذیعلاقه و خبره تشکیل شد و پس از بررسیهای جامعی که دربارهٔ این موضوع به عمل آورد تصمیم گرفت که اولاً حداقل تغییرات ممکن را در ترتیب حروف و اعداد و علامات به عمل آورد تا تایپیستهایی که به حروف سابق عادت کردهاند دچار سردرگمی نشوند و تعویض سنگین ماشین تحریرهای موجود به مردم و دولت وارد نشود و همچنین حروف، علامات و اعداد در ماشینهای تحریر فارسی از نظر تعداد، شکل و ترتیب استاندارد شوند تا کلیه ماشینهای تحریر که به صورت تجاری وارد کشور میشوند از جهات مذکور یکنواخت گردند.
Question: در کمیسیون ISIRI 820 چه کسانی حضور داشتند؟
Output: نمایندگان تولیدکنندگان و مصرفکنندگان و برخی اشخاص ذیعلاقه و خبره
Input: Consider Input: بیش از ۵۰۰۰ سال قبل از میلاد مسیح مصریان باستان پودرهای پاککننده دندانی شامل خاکستر، پودر پوسته تخم مرغ، میخک و دیگر ترکیبات مفید را به عنوان یک پاککننده مؤثر به کار میبردند. بعدها یونانیان و رومیان روشهای تهیه مصریان را با افزودن مواد ساینده مانند پودر سم چارپایان و صدف بهبود بخشیدند. مشخص نیست که این خمیردندانهای اولیه با چه وسیلهای استفاده میشدهاست اما مواردی چون پارچه و همچنین شاخهٔ درخت مسواک و چریش از محتملترین موارد است. با این حال تا پیش از قرن نوزدهم میلادی استفاده از خمیردندان عمومی نشده بود. اولین خمیردندان با کارآزمایی بالینی در سال ۱۹۵۵ با برند کرست به بازار عرضه شد. در سال ۱۹۶۰ انجمن دندانپزشکان آمریکا عملکرد ضد پوسیدگی این محصول را تأیید نمود. خمیردندان مادهای است شوینده، جرم زدا و گاه ضدعفونیکننده که به شکل خمیر و بیشتر در بستههایی استوانهای شکل قرار داده شدهاست. در ۱۸۸۰ میلادی دکتر واشینگتن شفیلد از ایالت کنکتیکات آمریکا، اولین خمیردندان در ظرفهای تیوبی جمعشدنی با نام کرم دندانی دکتر شفیلد را ساخت. تا قرن ۱۹ میلادی خمیر ساخته شده از هیدروژن پراکسید و جوش شیرین برای استفاده با مسواک توصیه میشد.
Question: اولین خمیردندان چگونه بوجود آمد؟
| Output: اولین خمیردندان با کارآزمایی بالینی در سال ۱۹۵۵ با برند کرست به بازار عرضه شد.
| 2 | NIv2 | task395_persianqa_answer_generation | fs_opt | [
1.0701345205307007,
0.4622332453727722,
-0.3970106840133667,
-0.48042723536491394,
0.5827096700668335,
-0.4555969834327698,
0.43402111530303955,
0.783112645149231,
0.12013155221939087,
0.32650989294052124,
-0.43470054864883423,
0.7978674173355103,
-0.004061763174831867,
-0.0592965148389339... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if the given answer is wrong for question.
Q: Context: My thoughts are with Rima and the rest of Alan's family. We have all lost a great talent. They have lost part of their hearts.— J.K. Rowling (@jk_rowling) January 14, 2016 Question: what have rima and the rest of alan's family lost? Answer: that they were not fearful for their lives.
A: no
****
Q: Context: BEYOND humbled to be nominated with 3 of these other 4 comedians. Look, not all categories are perfect, okay? #blessedhttps:// Patton Oswalt (@pattonoswalt) December 6, 2016 Question: why is oswalt beyond humbled? Answer: shutting music off and lights on
A: no
****
Q: Context: Successful test firing of Agni V makes every Indian very proud. It will add tremendous strength to our strategic defence.— Narendra Modi (@narendramodi) December 26, 2016 Question: what will successful test firing of agni v do Answer: fox news
A: | no
****
| 4 | NIv2 | task241_tweetqa_classification | fs_opt | [
-0.4425809979438782,
0.2160535454750061,
0.20329011976718903,
0.6614588499069214,
-0.09700696170330048,
-0.6601245403289795,
0.5951132774353027,
0.38884931802749634,
-0.13351839780807495,
-0.3432054817676544,
-0.41568952798843384,
-0.04767845198512077,
-0.6307417750358582,
0.59706240892410... |
Teacher: In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Step 1: For each row in Movie table, find the corresponding rows in Rating table.
Step 2: find each value of director in the results of step 1 along with the summation of stars of the corresponding rows to each value
Solution: SELECT T1.title , Sum ( T2.stars ) FROM Movie AS T1 JOIN Rating AS T2 ON T1.mID = T2.mID GROUP BY T1.director
Reason: This SQL statement uses a "JOIN" statement to combine the "Movie" and "Rating" table then find the corresponding rows by comparing the movie id, which accomplishes step 1. Finally the SQL statement groups the values by each director and returns the title of each movie and the sum of all the stars, which accomplishes step 2. This is a good example.
Now, solve this instance: Step 1: find the number of rows of each value of characteristic_data_type in Characteristics table.
Step 2: find characteristic_name of Characteristics table with largest value in the results of step 1
Student: | SELECT characteristic_name FROM Characteristics GROUP BY characteristic_data_type ORDER BY Count ( * ) Desc LIMIT 1 | 2 | NIv2 | task077_splash_explanation_to_sql | fs_opt | [
0.636322021484375,
0.43379542231559753,
-1.0731176137924194,
0.791252613067627,
-0.0651032030582428,
-0.4069654941558838,
0.7166641354560852,
1.0947811603546143,
-0.4598473608493805,
0.18678224086761475,
0.6223587989807129,
0.353041410446167,
0.03454142436385155,
0.1788964569568634,
0.19... |
In this task, you are given a review of product in Polish language and a question whether this review has positive sentiment. You are expected to generate the answer. The output should be "Yes" or "No". Don't generate anything apart from "Yes", "No".
Input: Consider Input: Text: Nie polecam tego produktu. Nazwa silky case może zmylić, że etui wykonane jest z silikonu. W rzeczywistości jest to twardy i kruchy plastik. Według mnie "efekt jedwabiu" nie jest zbyt przyjemny w dotyku. Montaż szkła dość prosty choć w zestawie brak jasnej instrukcji jego montażu. Szkło dramatycznie zmienia czułość ekranu. Górnego paska nie da się wysunąć. Plusy jedynie za dobre spasowanie zestawu.
Question: Is the text a positive review?
Output: No
Input: Consider Input: Text: Jestem nieco rozczarowany komfortem pracy z tymi matami. Papier zabezpieczający warstwę kleju często się nieoczekiwanie rwie przy ściąganiu i kawałki zostają. To stwarza ogromne problemy przy wyklejaniu trudnych powierzchni, jak wnętrze drzwi, gdzie jest bardzo ciasno. Mata chwyta blachy błyskawicznie i mocno, więc trzeba się nakombinować, żeby nie zmarnować materiału albo po prostu używać mniejszych kawałków, żeby było łatwiej. Nie miałem wcześniej doświadczenia, więc nie wiem, czy może wszystkie mają tak samo. Poza tym dobrze spełnia swoją rolę, choć te nominalne 3 mm grubości to też, powiedzmy, przy zaokrągleniu w górę.
Question: Is the text a positive review?
Output: Yes
Input: Consider Input: Text: Produkt FATALNY! Bardzo źle się nakleja. Miał być niby montaż bez bąbelków, ale to nieprawda bo się robią. Dopiero bo wymasowaniu ekranu zeszły. Naklejki pozycjonujące "Fit-In" to również niezła bzdura, bo bardzo ciężko je odkleić po zamontowaniu szybki. Po odklejeniu pozostał po nich okropnie lepki klej na szybce!! Udało się go zmyć dopiero benzyną ekstrakcyjną (dobrze, że miałem). To ma być niby łatwy i przyjemny montaż? A sama szybka taka sobie, dosyć szybko się rysuje. NIE POLECAM, lepiej kupić inną szybkę za 10zł, wyjdzie na to samo, a nawet lepiej, bo nie będzie trzeba zmywać kleju.
Question: Is the text a positive review?
| Output: No
| 2 | NIv2 | task635_allegro_reviews_answer_generation | fs_opt | [
-0.41754788160324097,
0.47051507234573364,
-0.31784844398498535,
0.28916314244270325,
0.6088482141494751,
-0.7367033958435059,
0.4080352783203125,
0.9111229777336121,
0.18697001039981842,
0.7465286254882812,
0.40506768226623535,
0.8652255535125732,
0.019149919971823692,
0.517973780632019,
... |
Detailed Instructions: This task is to translate the Telugu Language Input to English Language Output
Problem:నేడు $ 25 కొనుగోలు !!
Solution: | Buy today $200 OFF!! | 8 | NIv2 | task1617_cc_alligned_translate_tel_eng | zs_opt | [
-0.46029746532440186,
0.2327985167503357,
0.367507666349411,
0.3824694752693176,
0.1457001119852066,
-0.0289398655295372,
0.04511065036058426,
0.48040297627449036,
0.10636232048273087,
-0.4058901071548462,
0.18756188452243805,
0.20980799198150635,
-0.9515959024429321,
-0.47541937232017517,... |
Teacher:In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY, or others, feel what is mentioned in the Tail or not. Feelings in this task are the emotional reactions on the part of PersonY or other participants in an event. For example, as a result of gift-giving, others (in this case, PersonY) might feel appreciated. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Teacher: Now, understand the problem? Solve this instance: Head: PersonX stays at a friend 's house<sep>Tail: glad
Student: | Yes | 6 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
0.08155521750450134,
0.16486670076847076,
0.38755562901496887,
-0.3287103772163391,
-0.1992907077074051,
-1.2341583967208862,
1.3611160516738892,
0.23103947937488556,
-0.459383487701416,
-0.5435562133789062,
-0.13691583275794983,
0.04125185310840607,
-0.8570646047592163,
0.2665073871612549... |
Instructions: A text is given in Marathi. Translate it from the Marathi language to the Panjabi language. The translation must not omit or add information to the original sentence.
Input: दावोसला तुम्ही देखील गेला होतात, दावोसला आम्ही देखील गेलो होतो.
Output: | ਦਾਵੋਸ ਵਿੱਚ ਤੁਸੀਂ ਵੀ ਗਏ ਸੀ, ਦਾਵੋਸ ਵਿੱਚ ਅਸੀਂ ਵੀ ਗਏ ਸਾਂ। ਲੇਕਿਨ ਤੁਸੀਂ. | 3 | NIv2 | task1029_pib_translation_marathi_punjabi | zs_opt | [
0.5563783645629883,
1.175588846206665,
-0.5351192951202393,
0.31632426381111145,
-0.29541873931884766,
-1.1685287952423096,
1.0332667827606201,
0.07339082658290863,
0.7095553874969482,
0.8448362350463867,
-0.4767448306083679,
-0.008764810860157013,
-0.5418312549591064,
0.16992822289466858,... |
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.
Input: Head: PersonX eats PersonY's candy<sep>Tail: to enjoy it
Output: | Yes | 3 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.07113955914974213,
0.5591849088668823,
0.6938310861587524,
-0.724609911441803,
-0.49552345275878906,
-0.6643235683441162,
1.22886323928833,
-0.1537514477968216,
-0.8108667135238647,
-0.8924316763877869,
-0.17340673506259918,
-0.8735533952713013,
-0.6964331865310669,
0.4377138614654541,
... |
You will be given a definition of a task first, then some input of the task.
Given a scientific question, generate a correct answer to it.
How do the male gorillas show display behaviors?
Output: | showing aggression | 1 | NIv2 | task591_sciq_answer_generation | zs_opt | [
-0.5329282283782959,
0.833042323589325,
-0.13104471564292908,
-0.6643933653831482,
-0.9950061440467834,
0.11125575006008148,
-0.46587830781936646,
0.2834892272949219,
-0.31996873021125793,
-0.7382292747497559,
-0.6956169605255127,
-0.40876197814941406,
-0.9293261766433716,
-0.3993027806282... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Example: We propose a local coherence model based on a convolutional neural network that operates over the entity grid representation of a text. The model captures long range entity transitions along with entity-specific features without loosing generalization, thanks to the power of distributed representation. We present a pairwise ranking method to train the model in an end-to-end fashion on a task and learn task-specific high level features. Our evaluation on three different coherence assessment tasks demonstrates that our model achieves state of the art results outperforming existing models by a good margin.
Output: A Neural Local Coherence Model
This statement "A Neural Local Coherence Model" is taken from the subtext "convolutional neural network" and its explanation in the passage. This is a positive example because the title belongs to the mentions in the passage
New input case for you: Derivational morphology is a fundamental and complex characteristic of language. In this paper we propose the new task of predicting the derivational form of a given base-form lemma that is appropriate for a given context. We present an encoder– decoder style neural network to produce a derived form character-by-character, based on its corresponding character-level representation of the base form and the context. We demonstrate that our model is able to generate valid context-sensitive derivations from known base forms, but is less accurate under a lexicon agnostic setting.
Output: | Context-Aware Prediction of Derivational Word-forms | 1 | NIv2 | task1540_parsed_pdfs_summarization | fs_opt | [
-0.16944259405136108,
0.7575183510780334,
0.19190631806850433,
0.5198268890380859,
0.12489550560712814,
0.07903067022562027,
1.1395937204360962,
0.623082160949707,
-0.1634318232536316,
0.023847077041864395,
-0.11088252067565918,
0.19774506986141205,
-0.7049504518508911,
0.2642841935157776,... |
In this task, a passage will be given and the goal is to generate a question about temporal relations based on that passage. A temporal relation describes the relation between two things with respect to time e.g., something happens/starts/terminates/... immediately/shortly/usually/... before/after/during/... something else.
Your question should include an event, or ask about an event, and should not be a yes/no question.
Example Input: Passage: Ethiopian Prime Minister Meles Zenawi on Tuesday said more than 1,000 people have been killed in fighting between his troops backing Somali government forces against Somalia's Islamist movement. "We got reports of more than 3,000 wounded in a Mogadishu hospital.
Example Output: What event has already finished?
Example Input: Passage: Families of each of the dead will be given at least 200,000 yuan (25,440 U.S. dollars) in compensation. Wednesday also saw the death toll climb to 41 in another coal mine tragedy, also in the coal-rich province of Shanxi Province, which occurred on Nov. 5 at Jiaojiazhai Colliery in Xinzhou.
Example Output: What event has already finished?
Example Input: Passage: The forecast is a "slight increase" over its outlook issued in November, due to stronger-than-expected predictions for world economic growth next year, OPEC said. Oil demand will increase in all major regions, with China accounting for more than one fifth of the increase of 1.6 million bpd.
Example Output: | What event has already finished?
| 3 | NIv2 | task389_torque_generate_temporal_question | fs_opt | [
0.04274742677807808,
0.2970656156539917,
-0.32494473457336426,
0.10448934137821198,
0.06127326190471649,
-0.23497267067432404,
0.35556256771087646,
1.2447185516357422,
-0.27019309997558594,
0.5848259329795837,
-0.43920084834098816,
0.09005245566368103,
-0.1617300808429718,
0.08657884597778... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form " A >Motivates> B". Try to use phrases and sentences from the story to compose your answer when possible. For the motivation sentence, you must choose a verb from :feel(s), want(s) or like(s). There will always be some motivation in the given story.
Example: story: Rita loved riding her bike down the trails of the state park. While she was riding, she came across a bear. She immediately hit a side path. She pedaled as fast as she could out of the state park. Rita will now only go on the trails when she is with friends.
selected sentence: Rita will now only go on the trails when she is with friends.
Example solution: Rita feel(s) scared >Motivates> Rita will only go on the trails with her friends
Example explanation: The story is about Rita being scared in her experience, so the answer is correct.
Problem: story: Franklin wanted to send a birthday card to his grandmother. He colored a picture on a piece of paper. He wrote a nice birthday message to his grandmother. He folded the paper and sealed it in an envelope. Franklin dropped the envelope into the mailbox.
selected sentence: Franklin dropped the envelope into the mailbox.
| Solution: Franklin want(s) to mail the envelope >Motivates> Franklin mails the envelope | 5 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
0.36831292510032654,
0.18620920181274414,
-0.38561397790908813,
0.35655736923217773,
-0.40807127952575684,
-1.588357925415039,
0.6904760003089905,
0.29732510447502136,
-0.35510700941085815,
-0.3663732409477234,
-0.2991752624511719,
0.2582298517227173,
-0.101224884390831,
-0.048727415502071... |
This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.
--------
Question: ['The Eagle serves expensive Indian food.', 'The leader of France is Manuel Valls.']
Answer: DISSIMILAR
Question: ['In the city centre you will find a moderately priced Fast food coffee shop called The Eagle. It is located near Burger King, is not kid friendly and has a customer rating of 1 out of 5.', 'The Rice Boat is a family-friendly venue, with a low customer rating serving low cost Italian food based in the city centre near Express by Holiday Inn.']
Answer: DISSIMILAR
Question: ['The Twenty Two is not family-friendly and serves English food.', 'The Twenty Two has English food and is not family-friendly.']
Answer: | SIMILAR
| 7 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.3618602752685547,
0.01619850844144821,
0.20756621658802032,
-0.11456046253442764,
0.10323601961135864,
-0.19545143842697144,
1.0770745277404785,
0.6889232397079468,
-0.3507891297340393,
-0.014640632085502148,
0.005428558215498924,
-0.23593226075172424,
-0.7527142763137817,
-0.1452267915... |
In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
Q: [4, 2, 1, 6, 6, 7]
A: | [4, 2, 1, 7] | 4 | NIv2 | task097_conala_remove_duplicates | zs_opt | [
-0.06633052974939346,
1.2994918823242188,
-0.22868850827217102,
-0.6461814641952515,
-0.045351408421993256,
-0.6890561580657959,
1.1073384284973145,
-0.6972633600234985,
-0.6357508897781372,
-0.3305659890174866,
-0.8520325422286987,
-0.009367035701870918,
-0.2940312325954437,
-0.1870878636... |
Given the task definition and input, reply with output. You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
أرغب في الاعتقاد أنّ بولي كان محقّا.
| Eu quero acreditar que o Paulie estava certo. | 5 | NIv2 | task1109_ted_translation_ar_pt | zs_opt | [
0.2669788897037506,
1.0051988363265991,
0.12597498297691345,
0.07271519303321838,
-1.2897884845733643,
-0.3992483913898468,
0.5363340973854065,
0.10187201201915741,
1.128194808959961,
-0.8282928466796875,
-0.8242536783218384,
0.6825203895568848,
-0.4039207696914673,
0.04301648586988449,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
One example is below.
Q: Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had been shopping for fruit to give Jon.
A: Tom had never been in the store.
Rationale: Tom must have gone into the store to come out of it.
Q: Sentence 1: A little girl sitting on a swing on a playground. Sentence 2: The girl sat on the swing waiting for her mom.
A: | The girl sat on the swing. | 9 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | fs_opt | [
-0.42035287618637085,
0.33076223731040955,
0.7015145421028137,
-0.6476427316665649,
0.19691511988639832,
-0.9004217982292175,
-0.6431838274002075,
0.6404474973678589,
0.1008201539516449,
-0.3324090242385864,
-0.8899917602539062,
-0.45588743686676025,
-0.6613091230392456,
-0.235856831073761... |
In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
One example is below.
Q: PPdQTlHHTJEe, DydQTlHHVnmlLu
A: dQTlHH
Rationale: Here, 'dQTlHH' is the longest common substring in both the input strings 'PPdQTlHHTJEe' and 'DydQTlHHVnmlLu'.
Q: dEEBlIqzKPT, tDBlIqCHza
A: | BlIq | 9 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | fs_opt | [
0.12323177605867386,
1.5759508609771729,
-0.2748463451862335,
-0.4346666634082794,
-0.5925232172012329,
-0.8551403284072876,
0.527657151222229,
-0.8572124242782593,
-0.03056516870856285,
-0.3755630850791931,
-0.6630290746688843,
-0.4357856512069702,
-0.16032415628433228,
0.7039698362350464... |
Teacher: Translate the given Spanish text to English
Teacher: Now, understand the problem? If you are still confused, see the following example:
A method for converting a series of m-bit information words to a modulated signal is described.
Solution: Se describe un método para convertir una serie de palabras de informacion de bits m a una señal modulada.
Reason: The translation is fluent, formal, and accurate
Now, solve this instance: The invention relates to a method and apparatus for registering diffractive optical structures.
Student: | Método y aparato para el registro de estructuras ópticas difractivas. | 2 | NIv2 | task840_para_pdt_en_es_translation | fs_opt | [
-0.16940993070602417,
0.10053011029958725,
0.5857731699943542,
-0.20836180448532104,
0.45245441794395447,
-1.0067825317382812,
-0.005913957953453064,
0.9790245294570923,
0.7973434329032898,
-0.27107322216033936,
0.040718525648117065,
0.23071910440921783,
-0.0342593751847744,
-0.15918703377... |
In this task, you are given a question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No".
how big are baby zebras when born, Answer: They are generally social animals that live in small harems to large herds . | No | 0 | NIv2 | task1294_wiki_qa_answer_verification | zs_opt | [
0.17842796444892883,
1.0101960897445679,
-0.12888142466545105,
0.28225719928741455,
-1.0970160961151123,
0.2595536410808563,
0.43406516313552856,
-0.6197967529296875,
-0.4589681029319763,
-0.7068538665771484,
-0.16556963324546814,
0.6307733058929443,
-1.3614403009414673,
-0.178675815463066... |
instruction:
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that makes less sense.
question:
Title: Bad Curve. Sentence 1: Denny was driving on an unfamiliar road. Sentence 2: The road curved sharply to the right. Sentence 3: Denny was driving his car a little too fast. Sentence 4: He drove his car off the road. Choices: a. Kate hung her head and left empty handed. b. Denny had to get his car towed out of the ditch.
answer:
a
question:
Title: Sleepy Bear. Sentence 1: The claw machine roared to life. Sentence 2: He navigated the metal claw onto a stuffed bear. Sentence 3: She squealed with delight as it caught the bear. Sentence 4: He smiled as he gave it to her. Choices: a. Once probably fed and hydrated, Katie felt much better. b. She named it Sleepy Bear because it was wearing a sleep cap.
answer:
a
question:
Title: Kelly's Cat. Sentence 1: Kelly had a black kitten when she was younger. Sentence 2: She loved the kitten more than anything. Sentence 3: As Kelly grew up, so did the kitten. Sentence 4: When Kelly was 18 years old, the kitten (now a cat) became sick. Choices: a. She checked and realized the wrong cord was plugged into the socket. b. The cat passed away and Kelly felt like she lost her best friend.
answer:
| a
| 9 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt | [
0.12304748594760895,
0.30718040466308594,
-0.21552057564258575,
-0.21475134789943695,
0.029861174523830414,
-0.4081290066242218,
0.33056753873825073,
1.115478277206421,
-0.5917860269546509,
0.5401496887207031,
-0.4669284224510193,
-0.10264188796281815,
0.33232802152633667,
-0.2164551019668... |
In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Let me give you an example: Sentence-1: I'm looking forward to it.<sep>Sentence-2: I did hear about the event next week .
The answer to this example can be: Yes
Here is why: We need to check if the answer is yes or no based on the given sentence-1 and sentence-2. Both the sentences give the same meaning, and so the output is a yes.
OK. solve this:
Sentence-1: I'd prefer to attend a musical.<sep>Sentence-2: I would go to a punk rock show .
Answer: | No | 8 | NIv2 | task566_circa_classification | fs_opt | [
-0.28451794385910034,
0.4285787343978882,
-0.14631688594818115,
0.2838955223560333,
-0.2537652254104614,
-0.5091797113418579,
0.3913748264312744,
0.5201815962791443,
0.6432715654373169,
0.15805014967918396,
-0.198161780834198,
-0.0052229249849915504,
-0.595946192741394,
-0.1326583921909332... |
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 PersonX needs what is mentioned in the Tail before the Head or not. Here need is a precondition for PersonX to achieve the event. For example, in order for PersonX to give PersonY gifts, PersonX must first buy the presents. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: PersonX catches the thief<sep>Tail: to chase after the suspect
A: | Yes | 9 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.45549824833869934,
0.5548692941665649,
0.05571143329143524,
-0.341518759727478,
-0.5183742046356201,
-0.6699839234352112,
1.1790657043457031,
0.3410038352012634,
-0.5145273208618164,
-0.6651501655578613,
-0.44677287340164185,
-0.29499882459640503,
-1.0197203159332275,
0.44579875469207764... |
Part 1. Definition
In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instance as "False" if the explanation disproves the statement. The statement and explanation are separated by a newline character.
Part 2. Example
A popular RCA Records artist who has many hit songs is Kesha.
Kesha is a musicians from Nashville, Tennessee
Answer: True
Explanation: although the explanation doesn't prove the statement completely, it doesn't disprove it either.
Part 3. Exercise
Snow White befriends many wild animals who help her with daily tasks.
The story Snow White centers around her relationship with woodland animals.
Answer: | True | 7 | NIv2 | task403_creak_commonsense_inference | fs_opt | [
-0.07051591575145721,
0.6986833214759827,
-0.2920716106891632,
0.4626551866531372,
-0.4118956923484802,
-0.9888172149658203,
0.4204041659832001,
0.4324631690979004,
0.09322203695774078,
-0.3661377727985382,
-0.2870461940765381,
0.09548239409923553,
-0.34234970808029175,
0.14148235321044922... |
Instructions: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences in order, such as '34' or '25'. The first digit refers to the sentence which should come first in the story.
Input: Title: No Report. Sentence 1: She has not written the report yet. Sentence 2: She had to read a book for the summer. Sentence 3: I read her selection. Sentence 4: Frank said he would have me critique his daughter's report. Sentence 5: My friend Frank's daughter is going into the 7th grade.
Output: | 51 | 3 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.4390002191066742,
0.5444368124008179,
-0.04054661840200424,
-0.5113865733146667,
-0.34931981563568115,
0.40636134147644043,
0.5974793434143066,
0.5099901556968689,
0.4163348078727722,
-0.2586735486984253,
-0.3104390501976013,
-0.40484619140625,
-1.0137913227081299,
0.1370110660791397,
... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-political depending on the topic.
Q: চোরের বাচ্চা রফিক্কারে ফাসি দেওয়া হউক
A: non-political
****
Q: মনে হয় মন্ত্রীর বাপের টাকায় পদ্মা সেতু নির্মাণ করা হচ্ছে, অভদ্র বেয়াদব মন্ত্রী।।
A: political
****
Q: মাগি যা দুধ রে , সব খুল
A: | non-political
****
| 4 | NIv2 | task1491_bengali_political_hate_speech_binary_classification | fs_opt | [
-0.4911641478538513,
-0.07477255910634995,
0.4833451509475708,
0.5251559019088745,
-0.34973233938217163,
0.33298563957214355,
0.003518424928188324,
0.4696856737136841,
-0.27112913131713867,
-0.011603989638388157,
-0.5185039043426514,
-0.2726486921310425,
0.24136918783187866,
-0.42471933364... |
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , an individual, title of a person, description of a person);
(2) Event: Any phenomenon natural or artificial (e.g., named hurricanes, Battles, Wars, Sports events, Terrorist attacks);
(3) Entity: A thing with distinct and independent existence (Animals, Organs of body, Colors, Inventions, books and other creative pieces, Currency name, Diseases, and medicine, Food, Musical instrument, Languages, Plants, Products, Religions, Sports, Elements and substances, Symbols and signs, Techniques and methods, Equivalent terms, Vehicles);
(4) Facility: Something built for a particular purpose (Buildings, Airports, Highways, Bridges);
(5) Location: A place (Cities, Countries, Mountains, States);
(6) Law: Named documents made into laws (e.g., “the first amendment”, "civil rights act");
(7) Organization: an organized body of people with a particular purpose (Company names, e.g. Google, Cults or terrorist groups, e.g. Al Qaeda);
(8) Date: Absolute or relative dates or periods, bigger than 1 day (Years, Range, e.g. from Monday to Tuesday, or during the 20th century, Approximate time);
(9) Time: Any temporal range/unit that is shorter than a day (e.g., 2 o'clock, 1 pm);
(10) Money: Monetary values, including unit (e.g., "$26", "914$");
(11) Quantity: postcodes or other codes, the number of sth, Ranks, fractions, speed, temperature, size, area, and volume, weight (e.g., "26 degree" "17 inch");
(12) Description: description and abstract concepts (e.g., the definition of something, the manner of an action, reasons);
(13) Abbreviation: expression abbreviated (e.g., AMT = abbreviation of Amazon Mechanical Turk). Don't generate any word that is not mentioned in the list of types (Humans, Event, Entity, Facility, Location, Law, Organization, Date, Time, Money, Quantity, Description, Abbreviation). If you can not associate any of the given types with the provided question and answer pair, respond "Other".
Example: Question: Melbourne has sustained the highest population increase and economic growth rate in any Australian city according to what organization? (Answer: Australian Bureau of Statistics).
Example solution: Organization.
Example explanation: Here, the definition of the type "Organization" is "an organized body of people with a particular purpose" which aligns with "Australian Bureau of Statistics". So, this is a good answer.
Problem: Question: What is the example given of a work produced by Frédéric during calm summers at Nohant? (Answer: Polonaise in A-flat major, Op. 53).
| Solution: Entity. | 5 | NIv2 | task046_miscellaneous_question_typing | fs_opt | [
0.8861593008041382,
-0.06569544225931168,
-0.34923478960990906,
0.35073259472846985,
0.04110212251543999,
-0.7814505100250244,
0.9831709861755371,
0.8720721006393433,
-0.44846832752227783,
-0.18818804621696472,
-0.5366272330284119,
0.4245728850364685,
-0.4747026264667511,
0.187858939170837... |
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).
A nuestros ojos está claro que la izquierda del Parlamento Europeo, unida a la izquierda austríaca, derrotada en el terreno electoral, ha montado una operación puramente política apelando al recuerdo de una época siniestra, pero felizmente pasada. | In our opinion, it is clear that the left wing in the European Parliament, in association with the Austrian left wing which was defeated in the electoral arena, have mounted a petty political campaign resorting to the memory of a sinister but fortunately bygone period. | 0 | NIv2 | task531_europarl_es_en_translation | zs_opt | [
0.033065833151340485,
0.9716237187385559,
0.19566936790943146,
-0.1834353804588318,
-0.441932737827301,
-0.8632540106773376,
0.8622801899909973,
0.7238296270370483,
0.43005555868148804,
0.3880920708179474,
-0.3824094533920288,
-0.10031410306692123,
-0.045390792191028595,
-0.230339184403419... |
In this task, you need to replace a letter in the sentence with another given letter.
Example: Sentence: 'group of motorcycle motorists trying to merge into traffic'. Replace the letter 'o' with 'n' in the sentence.
Example solution: grnup nf mntnrcycle mntnrists trying tn merge intn traffic
Example explanation: The letter 'o' has been replaced in the letter 'n'.
Problem: Sentence: 'a bed room with a neatly made bed'. Replace the letter 'y' with 'b' in the sentence.
| Solution: a bed room with a neatlb made bed | 5 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
0.14996817708015442,
0.6944094300270081,
-0.4573418200016022,
-0.7635147571563721,
0.2595141530036926,
-0.627410888671875,
0.04954437538981438,
0.15808840095996857,
0.4062679409980774,
-0.34710413217544556,
-0.7523616552352905,
-0.07256191968917847,
-0.4239603281021118,
-0.644061267375946,... |
Given the task definition and input, reply with output. Construct a question that every answer in the list is correct and reasonable for it.
afghanistan, iraq, iran, north korea
| name a country you would not want to live in. | 5 | NIv2 | task821_protoqa_question_generation | zs_opt | [
0.3028782606124878,
1.1455074548721313,
-0.3442716598510742,
-0.8407872915267944,
0.30077534914016724,
-0.43478432297706604,
0.7959008812904358,
-1.0611319541931152,
0.2778174877166748,
0.08315423130989075,
-0.27317550778388977,
0.08462022244930267,
-0.5214236974716187,
-0.4818798899650574... |
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 Tail is the intention of the PersonX from the Head or not. The intention is the likely intent or desire of PersonX behind the execution of an event. For example, given the Head PersonX gives PersonY gifts, an intention might be that PersonX wanted to be thoughtful. 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.
--------
Question: Head: PersonX does such a good job<sep>Tail: none
Answer: Yes
Question: Head: PersonX improves PersonX's condition<sep>Tail: a better life
Answer: Yes
Question: Head: PersonX spends ___ thinking<sep>Tail: to make a new ojects and discovers
Answer: | Yes
| 7 | NIv2 | task1201_atomic_classification_xintent | fs_opt | [
0.11785483360290527,
-0.06359262019395828,
0.49553221464157104,
0.08752348273992538,
-0.3282749354839325,
-0.683563232421875,
0.6440670490264893,
0.4696315824985504,
-0.3874354958534241,
-0.09649933874607086,
-0.7022616863250732,
-1.0372718572616577,
-0.8685241937637329,
0.0395415872335433... |
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the beginning, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Example input: Middle: Helen planned to drive to Canada but it started snowing heavily. Ending: Helen stayed home instead and planned to go another day.
Example output: Helen lived in America.
Example explanation: Mention of the destination country name and driving implies that Helen is from a nearby foreign country.
Q: Middle: Andrew decided to change his reputation and find some alcohol. Ending: Andrew wished his parents had alcohol.
A: | Andrew had never been in trouble for anything. | 3 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
-0.19553110003471375,
0.6197774410247803,
-0.007117333356291056,
-0.639004111289978,
-0.6504924893379211,
0.22347402572631836,
0.8655033111572266,
0.583105742931366,
-0.1994742453098297,
-0.26734215021133423,
-0.5111114382743835,
0.027497215196490288,
-0.23654718697071075,
-0.0444143377244... |
Given the task definition and input, reply with output. A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
याच अर्थसंकल्पात, सरकारने प्रधानमंत्री अभ्यासवृत्ती योजनेचीही घोषणा केली आहे.
| સરકાર દ્વારા બજેટમાં પ્રાઇમ મિનિસ્ટર રિસર્ચ ફેલો યોજનાની પણ જાહેરાત કરવામાં આવી છે. | 5 | NIv2 | task984_pib_translation_marathi_gujarati | zs_opt | [
-0.5158438682556152,
0.6927646398544312,
0.5252615213394165,
-0.572590708732605,
0.06648039072751999,
-0.1505374014377594,
0.9950734376907349,
0.3361318111419678,
0.12237140536308289,
-0.41707390546798706,
-0.8535349369049072,
-0.004861930385231972,
-0.5234777927398682,
0.26034268736839294... |
Given the task definition and input, reply with output. Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
What makes echinoderms force water into the feet and move forward?
| spring contractions | 5 | NIv2 | task592_sciq_incorrect_answer_generation | zs_opt | [
-0.5740575790405273,
1.2179195880889893,
-0.4440714120864868,
0.4176265597343445,
-0.3613951802253723,
-0.6511210203170776,
-0.5366799831390381,
-0.2609184980392456,
0.003757058409973979,
-0.45318809151649475,
-0.29965052008628845,
0.5237256288528442,
-0.7978959083557129,
-0.35572230815887... |
Definition: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
Input: The cytogenetic finding of the Ph1+ chromosome and its molecular biologic marker bcr/abl gene rearrangement in cells from patients with chronic myeloid leukemia are associated with a proliferative advantage of the Ph1+ clone in vivo. Although the transition to the acute terminal phase or blastic crisis is often associated with additional cytogenetic abnormalities, the molecular events which correlate the initial cytogenetic lesion with the terminal phase are poorly understood. Defective cellular DNA repair capacity is often associated with chromosomal instability, increased mutation frequency, and biologic alterations.', 'We, therefore, tested whether the protein product of the bcr/abl translocation (p210) could alter DNA repair after gamma-irradiation of murine cell lines expressing the bcr/abl cDNA.', 'The 32D cl 3 parent, 32D cl 3 pYN (containing the control vector plasmid) and each of two sources of 32D cl 3 cells expressing p210 bcr/abl cDNA (32D-PC1 cell line and 32D-LG7 subclone) showed a D0 of 1.62, 1.57, 1.16, and 1.27 Gy, respectively. Thus, expression of the p210 bcr/abl product induced a significant (p < 0.05) increase in radiosensitivity at the clinically relevant radiation therapy dose-rate (1.16 Gy/min). The increased radiosensitivity of p210 bcr/abl expressing cells persisted if cells were held before plating in a density-inhibited state for 8 hr after gamma-irradiation, indicating little effect on the repair of potentially lethal gamma-irradiation damage. The IL-3 dependent parent 32D cl 3 cells demonstrated programmed cell death in the absence of growth factor or following gamma-irradiation to 200 cGy. Expression of bcr/abl cDNA in the 32D-PC1 and 32D-LG7 sub clones abrogated IL-3 requirement of these cell lines and inhibited gamma-irradiation induced programmed cell death.
Output: | Does expression of p210 bcr/abl increase hematopoietic progenitor cell radiosensitivity? | 2 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
0.32457131147384644,
0.038564808666706085,
-0.46113452315330505,
0.06673332303762436,
0.22484080493450165,
-0.45831000804901123,
0.5868083238601685,
1.2613756656646729,
-0.12046728283166885,
0.4795191287994385,
-0.9136357307434082,
0.09593674540519714,
-0.5502461194992065,
0.30853396654129... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr.
Solution: Isto inclúe un sistema en árabe chamado al-jebra.
Why? The Italian sentence is correctly translated into Galician, because the meaning is preserved.
New input: I premi sono basati su un solo criterio. È molto semplice.
Solution: | Os premios están baseados nun só criterio. É moi sinxelo. | 0 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
-0.5418984889984131,
0.7920743227005005,
-0.1940244883298874,
-0.20939278602600098,
-0.44707703590393066,
-0.423129677772522,
1.0428075790405273,
0.29967251420021057,
-0.9891897439956665,
-0.6973295211791992,
-0.44169411063194275,
-0.17287054657936096,
-0.7625385522842407,
0.49314796924591... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in English. Your job is to translate the English sentence into Italian.
Why? Because that profit allows whatever solution we've created to be infinitely scalable.
Solution: Perché? Perché quel profitto fa sì che qualunque soluzione da noi creata sia infinitamente riproducibile su scala.
Why? The English sentence is correctly translated into Italian, because the meaning is preserved.
New input: What we do though is we send each one of them, including myself, out into the world with the admonition, be perfect.
Solution: | Quello che però facciamo è spedirli tutti, me incluso, là fuori con questo avvertimento: sii perfetto. | 0 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.659356951713562,
0.9349572658538818,
0.24031776189804077,
0.05435376614332199,
-0.16759195923805237,
-0.7803107500076294,
0.26350465416908264,
0.6945458650588989,
0.3132718801498413,
0.0558425635099411,
-0.20095643401145935,
0.5713995695114136,
-0.5504226088523865,
0.19811725616455078,
... |
In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
Let me give you an example: Premise: و شما می دانید مردم می گویند که می دانید فرستادن بچه ها به کالج گران است ، اما اگر همه مسئولیت کمی را بر عهده داشته باشند می دانید که هزینه آن در حدود پانصد دلار در هر ترم است ، فرض کنید که به یک کالج ایالتی بروند و در خانه زندگی کنند <sep> Hypothesis: مردم می گویند کالج گران است.
The answer to this example can be: Entailment
Here is why: This is a good example, and the hypothesis sentence entails the given premise sentence.
OK. solve this:
Premise: یک عملکرد غیرقابل اعتماد جسمی (PUF)یک موجود فیزیکی است که در یک ساختار فیزیکی مجسم شده و قابل ارزیابی است اما قابل پیشبینی آسان است. <sep> Hypothesis: علاوه بر این، یک دستگاه PUF منفرد باید ساده باشد، اما حتی با توجه به روند ساخت دقیق تولید آن، کپی کردن آن نیز غیرممکن است.
Answer: | Neutral | 8 | NIv2 | task463_parsinlu_entailment_classification | fs_opt | [
-0.887744665145874,
0.5377410650253296,
-0.13097955286502838,
-0.15869931876659393,
-0.13489723205566406,
0.09496082365512848,
0.8556288480758667,
0.6621570587158203,
0.5902290344238281,
-0.1566350758075714,
-0.8322329521179199,
0.6028802394866943,
-0.09840135276317596,
0.10052480548620224... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social category that relates to a fundamental aspect of individuals community, socio-demographics, position or self-representation) (2) Affiliation Directed Abuse (e.g., Content which express negativity against an affiliation. We define affiliation as a (more or less) voluntary association with a collective. Affiliations include but are not limited to: memberships (e.g. Trade unions), party memberships (e.g. Republicans), political affiliations (e.g. Right-wing people) and occupations (e.g. Doctors).) (3) Person Directed Abuse (e.g., Content which directs negativity against an identifiable person, who is either part of the conversation thread or is named. Person-directed abuse includes serious character based attacks, such as accusing the person of lying, as well as aggression, insults and menacing language.) and (4) Counter Speech (e.g., Content which challenges, condemns or calls out the abusive language of others.). Note that URLs in the text have been replaced with [Link].
Was Michelangelo straight though? I mean, being a pizza-maniac ninja would indicate so, but... You never know.
Solution: yes
Why? This text has indentity directed abuse because it is trying to judge sexual orientation of Michelangelo. Hence, the answer is "yes"
New input: Studying these disciplines in a formal, academic setting I presume?
Solution: | no | 0 | NIv2 | task108_contextualabusedetection_classification | fs_opt | [
-0.32020291686058044,
0.13818717002868652,
0.052961498498916626,
0.5005037784576416,
-0.1356399655342102,
0.0018845759332180023,
0.5298657417297363,
0.8395821452140808,
0.3119468092918396,
0.2035757303237915,
0.1415572315454483,
0.011643858626484871,
-0.13283810019493103,
-0.20796544849872... |
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Let me give you an example: Sentence1: pesticides cause pollution.
Sentence2: pollution can harm animals.
The answer to this example can be: pollution.
Here is why: The word "pollution" is common to Sentence1 and Sentence2. So, it's a good answer.
OK. solve this:
Sentence1: vinegar can cause harm to the eyes.
Sentence2: It is this bacteria which turns alcohol into acetic acid, the main component of vinegar.
Answer: | vinegar | 8 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
0.000814528320915997,
0.9856381416320801,
0.008602757938206196,
-0.3048979640007019,
0.08309817314147949,
-0.9104440808296204,
0.31447041034698486,
0.6465625166893005,
0.04478805512189865,
-0.555046558380127,
-1.044481873512268,
-0.3911343812942505,
-0.9113626480102539,
0.11874665319919586... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Problem:Forse vi chiederete se io fotografi mai le persone.
Solution: | Se preguntarán si alguna vez fotografío gente. | 8 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.9407390356063843,
0.38637325167655945,
-0.787516176700592,
0.765831470489502,
0.08572360873222351,
-0.5497523546218872,
0.09812694787979126,
1.324973225593567,
-0.5230391621589661,
-0.4978798031806946,
-0.21083123981952667,
-0.8323599100112915,
-0.23043295741081238,
0.6889277696609497,
... |
Definition: In this task, you need to Translate Czech text to English.
Input: Je popsán povlakový prostředek a jeho použití ke zhotovení transparentních krycích vrstev na vícevrstvých povlacích. Povlakový prostředek obsahuje směs, která se skládá z A) 40 až 60 % hmotnostních (meth)akrylových kopolymerů obsahujících hydroxyskupiny, které jsou vyrobitelné kopolymerací a1) 50 až 70 % hmotnostních alespoň jednoho esteru kyseliny akrylové, který je ve směsu s takovým podílem alespoň jednoho hydroxyalkylesteru kyseliny akrylové, že hydroxylové číslo směsi činí 40 až 70 mg KOH/g a a2) 30 až 50 % hmotnostních alespoň jednoho esteru kyseliny methakrylové, který je ve směsi s takovým podílem alespoň jednoho hydroxyalkylesteru kyseliny methakrylové, že hydroxylové číslo směsi činí 180 až 450 mg KOH/g a B) 60 až 40 % hmotnostních (meth)akrylového kopolymeru obsahujícího hydroxyskupiny, který je vyrobitelný kopolymerací b1) 27 až 40 % hmotnostních alespoň jednoho alkylesteru kyseliny akrylové, b2) 49 až 55 % hmotnostních alespoň jednoho esteru kyseliny ŕ
Output: | A coating composition and its use for producing transparent cover layers on multi-layer coatings are described. The coating composition comprises a mixture consisting of A) 40-60% by weight of (meth) acrylic copolymers containing hydroxyls which can be produced by copolymerization of a1) 50-70% by weight of at least one acrylic ester which is mixed with such a proportion of at least one acrylic acid hydroxyalkyl ester such that the hydroxyl value of the mixture is 40 to 70 mg KOH / g and a2) 30 to 50% by weight of at least one methacrylic acid ester in admixture with at least one methacrylic acid hydroxyalkyl ester such that the hydroxyl value of the mixture is 180 to 450 mg KOH / g and B) 60 to 40% by weight of a (meth) acrylic hydroxyl-containing copolymer obtainable by copolymerization b1) 27 to 40% by weight of at least one alkyl ester of acrylic acid, b2) 49 to 55% by weight of at least one acid ester t | 2 | NIv2 | task842_para_pdt_cs_en_translation | zs_opt | [
0.40603429079055786,
-0.3634260892868042,
-0.14738082885742188,
-0.28762587904930115,
0.49634405970573425,
-0.5479944944381714,
-0.35659539699554443,
1.364542007446289,
-0.26045161485671997,
-0.16180762648582458,
0.12702172994613647,
0.14321783185005188,
-0.19672703742980957,
0.34002709388... |
Given the task definition and input, reply with output. Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
An unnamed third party does collect on the first party website or app your location information for targeted advertising.
| Location | 5 | NIv2 | task684_online_privacy_policy_text_information_type_generation | zs_opt | [
-0.693988025188446,
0.057573579251766205,
-0.23444518446922302,
-0.0015915922122076154,
-0.8397461175918579,
-0.3404695987701416,
-0.07556483149528503,
0.19982674717903137,
0.022126100957393646,
0.48057132959365845,
0.03313738852739334,
0.018276195973157883,
-0.41665562987327576,
-0.914466... |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on your judgment.
Q: However , I was in a quandary .
A: | Original | 4 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-1.1538268327713013,
0.8963419198989868,
0.432487815618515,
-0.01653236523270607,
-0.16893456876277924,
-0.5269942879676819,
-0.023601867258548737,
1.2230501174926758,
0.09790733456611633,
-0.4382053017616272,
-0.7387177348136902,
-0.6301329135894775,
-1.037209391593933,
-0.231841832399368... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given the title of a 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.
Title: Quentin Finds His Shoe. Sentence 1: Quentin is about to leave the house. Sentence 2: However, he can only find one of his shoes. Sentence 3: He looks all over the room. Sentence 4: Finally he finds his other shoe.
Output: | He realized upon arriving that her phone was dead. | 1 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
0.05406113713979721,
0.8502742052078247,
0.039037689566612244,
0.24029284715652466,
0.11394479125738144,
0.3615025281906128,
0.22322632372379303,
0.15668505430221558,
-0.12159839272499084,
-0.38439515233039856,
-0.2964877486228943,
0.030301351100206375,
-0.24841195344924927,
0.405709624290... |
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.
One example is below.
Q: ['238', 'h', '92', 'U', '2799']
A: 1, 3, 5
Rationale: Here, the numerical elements in the input list are '238', '92' and '2799' and they are at positions '1', '3', and '5', respectively.
Q: ['U', '2587', 'w', '9819']
A: | 2, 4 | 9 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
-0.15630079805850983,
0.16663062572479248,
-0.22982178628444672,
-0.6548523902893066,
0.3976328372955322,
-0.19282490015029907,
1.155777931213379,
0.07319998741149902,
-0.5493246912956238,
0.40198954939842224,
-0.6443386077880859,
-0.039849117398262024,
-0.04610792547464371,
-0.05652619525... |
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 before 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.
One example is below.
Q: Head: PersonX swims at the local pool<sep>Tail: PersonX learns a new way of swimming
A: Yes
Rationale: This is a good example. The Head happens before the Tail.
Q: Head: PersonX actually liked ___<sep>Tail: Sit down
A: | No | 9 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.2854466438293457,
0.13803957402706146,
0.058078039437532425,
-0.12049521505832672,
-0.6174594163894653,
-0.7172877192497253,
1.0336458683013916,
0.4605591893196106,
-0.4273059070110321,
-0.45148420333862305,
-0.44787296652793884,
-0.49453699588775635,
-0.7079141736030579,
0.2171649634838... |
Given the task definition and input, reply with output. In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
5 to 6 lb. hamburger, 2 large onions, chopped, 2 qt. tomatoes, blended, 2 c. ketchup, 2 pkg. El Paso chili seasoning, dissolved in water, 1 pkg. taco seasoning, 1/2 c. water
| hamburger, onions, tomatoes, ketchup, chili seasoning, taco seasoning, water | 5 | NIv2 | task570_recipe_nlg_ner_generation | zs_opt | [
-0.5388352274894714,
0.5125577449798584,
0.3887844681739807,
1.1353330612182617,
-0.2665184736251831,
-0.2407059371471405,
0.6436078548431396,
0.29933691024780273,
-0.18192052841186523,
-0.5301880836486816,
0.03592633455991745,
0.15792231261730194,
-0.7863989472389221,
-0.05302307009696960... |
In this task, you need to count the number of words in a sentence that contain the given letter
--------
Question: Sentence: 'a zebra standing still in the grass near a tree'. How many words contain the letter 'w' in the sentence.
Answer: 0
Question: Sentence: 'a man on a motorcycle towing another man on a skateboard'. How many words contain the letter 'n' in the sentence.
Answer: 6
Question: Sentence: 'there are many people with luggage outside of the bus'. How many words contain the letter 'k' in the sentence.
Answer: | 0
| 7 | NIv2 | task161_count_words_containing_letter | fs_opt | [
0.646300196647644,
0.8638086318969727,
-0.19156236946582794,
-0.6226615309715271,
-0.3251399099826813,
-0.2835226058959961,
0.7352882623672485,
0.17772886157035828,
0.0938490629196167,
-0.1418684422969818,
-0.22731660306453705,
0.14857617020606995,
0.013617030344903469,
-0.1037167832255363... |
Teacher: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether it is plausible for the Head to desire the Tail or not. In this task, desire means desires of sentient entities. For example, doctors likely desire to cure a patient. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Head: person<sep>Tail: complaints to addressed
Solution: Yes
Reason: This is a good example. The Head desires the Tail.
Now, solve this instance: Head: young woman<sep>Tail: new clothes
Student: | Yes | 2 | NIv2 | task1213_atomic_classification_desires | fs_opt | [
0.13052251935005188,
0.11379130184650421,
0.3435649275779724,
-0.29296836256980896,
-0.42106717824935913,
-0.8857965469360352,
0.7610530257225037,
0.7204978466033936,
-0.3714340329170227,
-0.05030905827879906,
-0.20307143032550812,
-0.3930686116218567,
-0.4167434573173523,
-0.1442011445760... |
Teacher: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Comment: Enough already. Cut the head off this snake.
Solution: Threat
Reason: This comment conveys a violent threat to someone.
Now, solve this instance: Comment: The problem is, Canada has put a lot of eggs in the American basket. To extricate is in Canada's long term interest. Since China is the country of the future, I suggest Canada turn in that direction. To acknowledge that Drumpf is all that he is, is to legitimize and normalize him. Prime Minister Justin Trudeau has chosen the right course. Right from the get go, Mr. Trudeau has refused to comment, and to do so now is not the right thing to do. Drumpf seems to be doing a good job at sabotaging the presidency. Let him continue in this vein until he has enough rope to hang himself.
Student: | Threat | 2 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.09515418857336044,
0.16688281297683716,
0.7390794157981873,
-0.41139844059944153,
-0.044961556792259216,
-0.24083870649337769,
0.6617087721824646,
0.9564293622970581,
-0.2400643229484558,
0.5390669107437134,
0.5001680254936218,
0.2961922883987427,
-0.34342557191848755,
-0.63863289356231... |
Detailed Instructions: In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Problem:Sentence1: Jane did not know which gift to get for her best friend. Sentence2: She had in her hand a curling iron and a electric toothbrush. Sentence3: Tess had always like gadgets, Jane remembered. Sentence4: Jane put down the curling iron and went to the register.
Solution: | Jane purchased the electric toothbrush for her geeky friend. | 8 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.5243058800697327,
1.6927610635757446,
-0.127431720495224,
-0.45445358753204346,
-0.1978324055671692,
-0.7930628657341003,
0.6949940919876099,
0.042940981686115265,
0.29067346453666687,
0.05789937824010849,
-0.021755125373601913,
0.2974277138710022,
-0.14766034483909607,
-0.1961091905832... |
Q: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
I bought these after seeing all of the 5 star reviews, upon receiving them one had partially come undone. I was able to snap it back together but when I tried them out, they sounded like a pair of cheap earbuds I had from a decade ago. I can't recommend these any less. Don't waste your time. I'm going to get my money back.
A: | negative | 7 | NIv2 | task1312_amazonreview_polarity_classification | zs_opt | [
-0.022489778697490692,
-0.4527207612991333,
0.28795212507247925,
0.039244893938302994,
0.3914026618003845,
-0.36263513565063477,
0.43092286586761475,
0.768893301486969,
0.17716942727565765,
0.5834730863571167,
-0.3891952931880951,
-0.516225278377533,
-0.5996317863464355,
-0.737554252147674... |
Given the task definition and input, reply with output. In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications of each category:
1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows
2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows
3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows
4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows
5. Comparative: Comparing two rows in the table, regarding their values in one column
6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows
7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows.
Here are the definitions of logical operators for understanding of command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
most_eq { all_rows ; co - drivers ; mark blundell }
| majority | 5 | NIv2 | task212_logic2text_classification | zs_opt | [
-0.04708147794008255,
-0.3238949179649353,
-0.11188969016075134,
0.3193090856075287,
0.47736331820487976,
-0.3849991261959076,
0.6574465036392212,
0.5389916896820068,
0.47548991441726685,
-0.09230059385299683,
-0.17632409930229187,
0.15369641780853271,
-0.024841537699103355,
0.544487357139... |
Teacher:In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
Teacher: Now, understand the problem? Solve this instance: Who is the woman who most recently took office married to ?
, Word: who
, POS tag: WP
Student: | True | 6 | NIv2 | task346_hybridqa_classification | zs_opt | [
-0.152266263961792,
0.13651394844055176,
-0.37545251846313477,
0.2315216213464737,
0.002218303270637989,
-0.49990659952163696,
0.7977981567382812,
0.6181187629699707,
-0.17136694490909576,
-0.053791485726833344,
-0.42250198125839233,
0.1743060201406479,
0.03558293357491493,
-0.214969635009... |
In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
[Q]: Problem: what is the max number of rectangular boxes , each measuring 4 inches by 6 inches by 10 inches , that can be packed into a rectangular packing box measuring 16 inches by 18 inches by 30 inches , if all boxes are aligned in the same direction ?
Options: ['a ) 36', 'b ) 14', 'c ) 12', 'd ) 15', 'e ) 11']
[A]: a
[Q]: Problem: how many 4 x 4 x 4 cubes could fit in a 9 x 13 x 16 box ?
Options: a ) 22 , b ) 28 , c ) 29 , d ) 31 , e ) 32
[A]: c
[Q]: Problem: the parameter of a square is equal to the perimeter of a rectangle of length 7.5 cm and breadth 6.5 cm . find the circumference of a semicircle whose diameter is equal to the side of the square . ( round off your answer to two decimal places ) ?
Options: a ) 10.2 , b ) 10.27 , c ) 10.23 , d ) 10.21 , e ) 10.25
[A]: | d
| 5 | NIv2 | task1423_mathqa_geometry | fs_opt | [
0.5233927965164185,
0.796317458152771,
0.07497813552618027,
-0.38654348254203796,
-0.009580947458744049,
0.061785418540239334,
0.07777756452560425,
0.3942744731903076,
-0.3454288840293884,
-0.08023913204669952,
-0.29509878158569336,
0.1858769953250885,
-0.1038917750120163,
-0.1903910040855... |
Detailed Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Q: ['921', 'c', '965', 'y', '4739', '6007', 'b', '6825', 'f', '3675', 'm', 'n', 'g', 't', '697', 'J']
A: | 23829 | 9 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
0.21963869035243988,
0.24154774844646454,
-0.24281498789787292,
-1.2659105062484741,
0.15667155385017395,
-0.42010849714279175,
-0.0149492546916008,
-0.23725837469100952,
-0.44320592284202576,
0.10128489136695862,
-0.8742135763168335,
-0.04205400124192238,
-0.5337027907371521,
0.0536874905... |
In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
This looked like such an adorable item! It arrived and it was missing one of the headlights, and the wheels had fallen off. Since it was so cute, I really wanted this to work for my daughter! I had tried to snap the wheels back in place, but that did not work, and more pieces started falling off. I need a refund on this item asap.
1
It appears that some people are receiving a different item than others. I specifically purchased these hats because the photos people were posting in their reviews showed the hat with the little logo on it, and that is what I was looking for. The hats I received have no logo. I am not sure why two different products are being sent out - zero quality control!
1
I have used this product several years. This jar was gritty. It also seemed to be whipped much looser than before. It does finally smooth out by continuing to rub the product on the skin. Not pleased this time around.
| 2
| 0 | NIv2 | task1310_amazonreview_rating_classification | fs_opt | [
-0.11253073066473007,
-0.12910328805446625,
-0.01616487465798855,
0.2358730435371399,
0.25608140230178833,
-0.2139071822166443,
-0.05470744147896767,
1.4410624504089355,
-0.6096823215484619,
0.44567155838012695,
-0.6035200953483582,
0.1529502123594284,
-0.646216869354248,
-0.03039648383855... |
Instructions: In this task, you are given books product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: A True Fire From The Start... . "Shadowfires" was another wonderful book in the long line of great Koontz novels, and this one was no different. We have the story of a woman named Rachel, and her husband, Eric Leben. Eric was a doctor in genetics who was fighting with his wife until he is pushed in front of a bus, by her, and killed. Rachel felt that maybe freedom was at last hers, until hours later, Eric is missing from the morgue, and we learn the awful truth of his secret work. I felt that this book had action from the very first few pages, and did not stop until the very last word. I was thrilled with the roller coaster of a ride that Koontz took me on, and i could not put the book down once i started on the journey. Koontz makes great use of location, and our fears of within, to give us this great chiller of the experiments of man to be more than human. A definite gem in the Koontz collection, a must have for any collector, and a great place to start for anyone taking a look at his work for the first time. A Masterpiece. My only wish of this book: It should have been made into a movie. -C
Output: | POS | 3 | NIv2 | task476_cls_english_books_classification | zs_opt | [
-0.1942773461341858,
-0.16530853509902954,
-0.12265074998140335,
-0.34623920917510986,
0.13291531801223755,
-0.4582836627960205,
1.4512546062469482,
0.5511045455932617,
0.4498459994792938,
0.2399204671382904,
0.1290690004825592,
-0.07157503068447113,
-0.7976223230361938,
-0.363527595996856... |
In this task you will be given a list of integers. You should find the maximum 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 largest possible absolute distance.
One example is below.
Q: [73, 30, 71, 47, -65, 50, -90, -60]
A: 163
Rationale: The maximum absolute difference is 163 because '|-90 - 73| = 163' which is the maximum possible absolute difference. So this is a good example.
Q: [-19, -75, -73, 70, 56, 85, 70, -32, -86, -56]
A: | 171 | 9 | NIv2 | task1446_farthest_integers | fs_opt | [
-0.32863056659698486,
0.44103455543518066,
0.23668277263641357,
-0.3340594172477722,
-0.19670015573501587,
-0.5199061632156372,
0.33845871686935425,
0.1706565022468567,
0.7303861975669861,
-0.15449073910713196,
-0.09413060545921326,
0.026918169111013412,
-0.551952600479126,
-0.015474615618... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Example Input: Ma oggi vorrei raccontarvi una storia diversa.
Example Output: But I want to tell you a different story here today.
Example Input: Vi faccio un esempio tratto da un mio lavoro.
Example Output: Now let me give you an example from my act.
Example Input: Forse non conoscete Kenema, in Sierra Leone o Arua, in Nigeria.
Example Output: | You may never have heard of Kenema, Sierra Leone or Arua, Nigeria.
| 3 | NIv2 | task1247_ted_translation_it_en | fs_opt | [
-0.19809305667877197,
0.6641172170639038,
0.02824072539806366,
0.11599425971508026,
-0.41096439957618713,
-0.8175007104873657,
-0.3601447343826294,
1.1294113397598267,
-0.1927366554737091,
0.21445098519325256,
-0.0024567898362874985,
0.26726457476615906,
-0.6923322677612305,
0.025997463613... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Example: Penso che abbastanza presto vedrete pazienti curati con le cellule staminali derivanti dal proprio grasso o adipe.
Output: وأعتقد أنه في القريب سوف ترى المرضى يعالجون بواسطة خلاياهم الجذعية المستخرجة من الدهون أو المستخرجة من الحيوانات
The Italian sentence is correctly translated into Arabic, because the meaning is preserved.
New input case for you: Ecco un video di Joseph.
Output: | وهنا شريط فيديو لجوزيف. | 1 | NIv2 | task1250_ted_translation_it_ar | fs_opt | [
-0.6580150723457336,
0.47725236415863037,
-0.44961005449295044,
-0.37056148052215576,
-0.7021424770355225,
0.2242046594619751,
0.5385621786117554,
1.0843915939331055,
0.1710389256477356,
-0.35208651423454285,
-0.411618173122406,
0.3028159737586975,
-0.2826994061470032,
0.17056839168071747,... |
Q: 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.
Comment: ... juuuuuuust don't get in the way of their single occupancy SUVs while the go drive to fake pray somewhere ...
A: | Non-insult | 7 | NIv2 | task328_jigsaw_classification_insult | zs_opt | [
-1.1147884130477905,
0.6464038491249084,
0.5096431970596313,
0.5699031352996826,
-0.628811240196228,
-0.0480671264231205,
0.4133261442184448,
0.875619649887085,
0.5840504765510559,
0.5672451257705688,
0.36568784713745117,
-0.007399578113108873,
-0.005884357262402773,
-0.9193406105041504,
... |
Detailed Instructions: Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. What may (or may not) happen before (or after, or during) an event? C. What may (or may not) be a plausible fact about someone (or something)? D. What may (or may not) happen if an event happens (or did not happen)? You can also create other types of questions. DO NOT make your question answerable without looking at the context, or question of which the correct answer can be directly extracted from the context. DO NOT ask a question that requires very specialized knowledge that is not common sense. DO NOT ask too simple or too short questions. Your question must be related to the context and answerable with common sense. Try to add more variations and complexity to the questions.
Q: Context: The other day I vowed to spend ten minutes a day doing something for the election to support Obama . So , I called my grandfather , because eight months ago he said he was going to vote for McCain . I wanted to have a conversation with him about it , and just hear him , and let him know how I felt . I was really surprised , because one of the first things he said to me was ; " You , your husband , and your new baby are going to have a good life , because change is coming . " I asked him what he meant , and he said , " Obama is going to win by a landslide , people want change .
A: | What may be your reason for taking 10 minutes out of your day for something ? | 9 | NIv2 | task023_cosmosqa_question_generation | zs_opt | [
0.2743900418281555,
0.12753942608833313,
-0.027567585930228233,
0.2702755331993103,
0.1084912121295929,
-1.2372515201568604,
0.17895519733428955,
0.8261788487434387,
0.21841588616371155,
0.13282936811447144,
-0.6473445892333984,
-0.1317598670721054,
-0.23619094491004944,
0.0709084421396255... |
Q: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content.
@anonymized_account @anonymized_account Nic nie bierze, tak ma. Na 100% wchodzi do klubu na sucho i bryka do rana
A: | 0 | 7 | NIv2 | task838_cdt_classification | zs_opt | [
-1.3956109285354614,
1.2589153051376343,
0.06808207184076309,
0.5857919454574585,
-0.49460816383361816,
-0.29228726029396057,
0.7428083419799805,
-0.6586664915084839,
0.3627256155014038,
-0.11334457248449326,
-0.3274800181388855,
-0.16270779073238373,
-0.6129351854324341,
-0.22027230262756... |
Detailed Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: religious or non-political religious on the topic.
See one example below:
Problem: কোনো মেয়ে ইসলাম ধর্ম গ্রহণ করলে আমি তাকে বিয়ে করতে রাজি(আমি কুরআন হাফেজ)।
Solution: religious
Explanation: Here it expresses hate against the religion, hence tagged as religious.
Problem: বাঁশ এর বাড়ি আবার খাবি নাকী গরুর হাটে
Solution: | non-religious | 4 | NIv2 | task1492_bengali_religious_hate_speech_binary_classification | fs_opt | [
-0.39155471324920654,
0.10405025631189346,
0.20466989278793335,
0.2732979655265808,
-0.6679272055625916,
-1.1600507497787476,
0.419366717338562,
0.29044681787490845,
-0.3857450485229492,
0.25928330421447754,
-0.5040457248687744,
-0.2501618266105652,
-0.5208851099014282,
-0.3952495157718658... |
Given the task definition, example input & output, solve the new input case.
Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
Example: Female snakes incubate eggs inside of their bodies, giving birth to live young of ____ or more.
Output: ten
Snakes give birth to minimum ten young ones so ten is a correct answer.
New input case for you: Some people think that reduced-fat means ____ calories or reduced calories.
Output: | no | 1 | NIv2 | task1359_numer_sense_answer_generation | fs_opt | [
-0.7769101858139038,
0.615659773349762,
-0.20933246612548828,
-0.14494481682777405,
-0.11906598508358002,
-0.3065933585166931,
0.564766526222229,
0.7730422019958496,
-0.25800999999046326,
0.06364414840936661,
0.22554528713226318,
0.03451451286673546,
-1.0797524452209473,
-0.362274348735809... |
A text is given in Oriya. Translate it from the Oriya language to the Panjabi language. The translation must not omit or add information to the original sentence.
ଆମେରିକାରେ ଥିବା ଭାରତୀୟମାନେ ସେମାନଙ୍କ ଆଧ୍ୟାତ୍ମିକ ଓ ସାଂସ୍କୃତିକ ଭିତ୍ତିଭୂମିକୁ ଭୂଲିବା ଉଚିତ ନୁହେଁ : ଉପରାଷ୍ଟ୍ରପତି
ਇਨ੍ਹਾਂ video conferences ਦੀ ਸਭ ਤੋਂ ਵੱਡੀ ਗੱਲ ਹੈ ਕਿ ਅਸੀਂ ਦੋਨਾਂ ਦੇਸ਼ਾਂ ਦੇ ਸਹਿਯੋਗ ਦੇ projects ਦਾ ਸ਼ੁਭ-ਅਰੰਭ ਜਾਂ ਉਦਘਾਟਨ ਕਿਸੇ VIP visit ਦਾ ਮੋਹਤਾਜ਼ ਨਹੀਂ ਹੈ।
ଭାରତ-ଆମେରିକା ମଧ୍ୟରେ ଦୃଢ଼ ରଣନୈତିକ ଭାଗୀଦାରିତା ସମ୍ବନ୍ଧରେ ପ୍ରକାଶ କରି ପ୍ରଧାନମନ୍ତ୍ରୀ ମୋଦୀ ବାଣିଜ୍ୟ ଓ ଉଦ୍ୟୋଗ, ଶକ୍ତି, ଶିଳ୍ପ, ଶିକ୍ଷା ଏବଂ ପାରସ୍ପରିକ ଯୋଗାଯୋଗ ଆଦି କ୍ଷେତ୍ରରେ ଟେକ୍ସାସ ସହ କାରବାର ବୃଦ୍ଧି ଉପରେ ଗୁରୁତ୍ୱ ପ୍ରଦାନ କରିଥିଲେ । ଏହି କ୍ଷେତ୍ରରେ ସମ୍ପର୍କକୁ ଅଧିକ ଦୃଢ଼ୀଭୁତ କରିବା ପାଇଁ ଦୁଇ ନେତା ରାଜି ହୋଇଥିଲେ ।
ਐੱਨਐੱਮਸੀ ਵਿੱਚ ਰਾਜਾਂ ਦੀ ਨੁਮਾਇੰਦਗੀ ਵਧਾਉਣ ਦੀ ਮੰਗ ਉੱਤੇ ਵਿਚਾਰ ਕਰਦਿਆਂ ਐੱਨਐੱਮਸੀ ਵਿੱਚ ਰਾਜਾਂ ਅਤੇ ਕੇਂਦਰ ਸ਼ਾਸਿਤ ਪ੍ਰਦੇਸ਼ਾਂ ਦੇ ਨਾਮਜ਼ਦ ਮੈਂਬਰਾਂ ਦੀ ਗਿਣਤੀ 3 ਤੋਂ ਵਧਾ ਕੇ 6 ਕਰ ਦਿੱਤੀ ਗਈ ਹੈ। ਐੱਨਐੱਮਸੀ ਵਿੱਚ ਕੁਲ 25 ਮੈਂਬਰ ਹੋਣਗੇ ਜਿਨ੍ਹਾਂ ਵਿੱਚ ਘੱਟੋ ਘੱਟ 21 ਡਾਕਟਰ ਹੋਣਗੇ।
CSNର ପିଲାମାନଙ୍କ ସୁବିଧା ପାଇଁ ପ୍ରାଥମିକ ଶିକ୍ଷାନୁଷ୍ଠାନମାନଙ୍କରେ ବାଧାମୁକ୍ତ ସୁବିଧା ପ୍ରଦାନ କରିବା ଲାଗି କେନ୍ଦ୍ର ଦ୍ୱାରା ପ୍ରଦାନ କରାଯାଉଥିବା ସର୍ବଶିକ୍ଷା ଅଭିଯାନ (SSA)ରେ ବ୍ୟବସ୍ଥା ରହିଛି । ଏକୀକୃତ ଜିଲ୍ଲା ସୂଚନା ଶିକ୍ଷା ପଦ୍ଧତି ମୁତାବକ 2015-16 ରେ 61.
| ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਸ਼੍ਰੀ ਨਰੇਂਦਰ ਮੋਦੀ ਦੀ ਅਗਵਾਈ ਹੇਠ ਕੇਂਦਰੀ ਮੰਤਰੀ ਮੰਡਲ ਨੇ ਸੜਕੀ ਆਵਾਜਾਈ ਤੇ ਹਾਈਵੇਜ਼ ਮੰਤਰਾਲੇ ਅਤੇ ਭਾਰਤ ਵਿੱਚ ਜਨਤਕ ਟਰਾਂਸਪੋਰਟ ਦੇ ਸੁਧਾਰ ਲਈ ਗਰੇਟਰ ਲੰਡਨ ਅਥਾਰਟੀ ਐਕਟ, 1999 (ਯੂਕੇ) ਅਧੀਨ ਸਥਾਪਤ, ਸੰਵਿਧਾਨਿਕ ਸੰਸਥਾ ‘ਟਰਾਂਸਪੋਰਟ ਫਾਰ ਲੰਡਨ’ ਦਰਮਿਆਨ ਹੋਏ ਸਹਿਮਤੀ ਪੱਤਰ ਅਤੇ ਇਸ ਦੇ ਲਾਗੂਕਰਨ ਨੂੰ ਪ੍ਰਵਾਨਗੀ ਦੇ ਦਿੱਤੀ ਹੈ।
| 0 | NIv2 | task1039_pib_translation_oriya_punjabi | fs_opt | [
-0.0709604024887085,
0.09788697957992554,
0.274771511554718,
0.36756032705307007,
0.26205307245254517,
-0.4217684864997864,
0.8362789154052734,
1.275337815284729,
-0.4389897584915161,
-0.16807259619235992,
0.1553962528705597,
-0.13567784428596497,
-0.33966535329818726,
-0.09428256005048752... |
TASK DEFINITION: In this task, you are given reviews written about the books in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
PROBLEM: উপকারী বই সবার পড়া উচিত।
SOLUTION: positive
PROBLEM: খুব ভালো লাগল বইটা😍😍😍
SOLUTION: positive
PROBLEM: ওয়াক থু!
SOLUTION: | negative
| 8 | NIv2 | task1497_bengali_book_reviews_sentiment_classification | fs_opt | [
-0.17496001720428467,
0.0782138779759407,
0.13822127878665924,
-0.6211301684379578,
0.09885019809007645,
-0.16128282248973846,
1.3429452180862427,
-0.35412144660949707,
0.22173582017421722,
-0.3446606397628784,
-0.9722761511802673,
-0.2750410735607147,
-0.4097856283187866,
0.03467994183301... |
Given the task definition and input, reply with output. In this task, you are given music product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Endlich mal eine Zusammenstellung der weiblichen Beatscene . Mit der Beatwelle kamen auch viele weibliche Interpreten auf den Plattenmarkt. Das Label "DERAM" hat den SechzigerJahre Back-Katalog der Plattenfirma "DECCA" durchstöbert und Ende der 90'er Jahre eine CD-Reihe "The ... Scene" auf den Markt gebracht (The Beat-Scene, The Blues-Scene usw.). In dieser Reihe werden jede Menge Stars, Sternchen und Eintagsfliegen vorgestellt die in England mal die Möglichkeit hatten irgendwas bei DECCA auf Platte zu veröffentlichen. Hier finden sich auch viele Raritäten.
| POS | 5 | NIv2 | task481_cls_german_music_classification | zs_opt | [
-0.7904425859451294,
0.2707098126411438,
-0.10912822186946869,
-0.15401440858840942,
0.1766677349805832,
0.5194356441497803,
0.3243686556816101,
0.8347578048706055,
0.6244135499000549,
0.8110730051994324,
-0.06169402226805687,
0.27522388100624084,
-0.2490670382976532,
-0.24111038446426392,... |
You will be given a definition of a task first, then some input of the task.
Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the third fact. An example of a chain is: "pesticides cause pollution" (given fact) + "pollution can harm animals" (related fact) → "pesticides can harm animals" (connected chain). Avoid creating simple paraphrases of the given fact. While your generated fact should be related to the input fact, they must describe slightly different scientific phenomena. It's okay if your related fact includes some irrelevant information, provided that it has some overlap with the given fact and it contains some words corresponding to the provided topic.
Fact: Insects may live in large colonies and have complex social behaviors.
Topic: insects bees.
Output: | Bees and other insects are agents. | 1 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
0.44947779178619385,
0.7739025354385376,
-0.26630598306655884,
-0.16076959669589996,
-0.023812588304281235,
-0.632634162902832,
-0.08169953525066376,
0.9911267757415771,
-0.5061518549919128,
0.04580405354499817,
-1.1965268850326538,
0.6390479207038879,
-0.37308597564697266,
-0.243006616830... |
You will be given a definition of a task first, then some input of the task.
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
PersonX gives PersonY a view
Output: | proud of himself | 1 | NIv2 | task1595_event2mind_text_generation_1 | zs_opt | [
-0.08277138322591782,
0.41214245557785034,
-0.023344319313764572,
-0.21567463874816895,
-0.04448043555021286,
-0.5092594623565674,
1.129213809967041,
0.8279481530189514,
0.42271479964256287,
-0.29754769802093506,
-0.052387941628694534,
-0.27848055958747864,
-0.4974357485771179,
0.286428123... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Potreste pensare che siano insegnanti di lunga data.
Output: | Podem pensar que devem ser professores muito experientes. | 1 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
-0.8876146674156189,
0.41118165850639343,
-0.21377475559711456,
-0.38285231590270996,
-0.43402770161628723,
-0.27493834495544434,
-0.5173559188842773,
1.235575556755066,
0.21560391783714294,
-0.5057728290557861,
-0.5232446193695068,
-0.05330081284046173,
-0.2040821760892868,
0.027540571987... |
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
Hypothesis: It's bad to break promises.
Update: You promised a friend.
strengthener
Hypothesis: It is rude to ask a friend for money.
Update: you are unable to pay your rent
weakener
Hypothesis: You are expected to set your own desires for a relationship.
Update: it is a work relationship with set boundaries.
| weakener
| 0 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
-0.06224802881479263,
0.5670275688171387,
-0.07412023097276688,
0.19151774048805237,
0.015558200888335705,
-1.069881558418274,
0.6486285328865051,
1.1896681785583496,
0.11298257112503052,
-0.3401833474636078,
-1.4048380851745605,
-0.2973003387451172,
-0.7658736109733582,
-0.285955548286438... |
Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name entity, then return 'None'.
Input: Het dossier gaat terug tot eind de jaren ' 80 .
Output: | None | 3 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | zs_opt | [
-0.11580943316221237,
0.44136935472488403,
-0.22763483226299286,
-0.2755216658115387,
-0.2529774010181427,
0.16153958439826965,
0.8917362093925476,
0.07445550709962845,
0.6538398265838623,
-0.5528542995452881,
-0.43628430366516113,
0.8988021016120911,
-0.2113209068775177,
0.226825207471847... |
Detailed Instructions: Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. What may (or may not) happen before (or after, or during) an event? C. What may (or may not) be a plausible fact about someone (or something)? D. What may (or may not) happen if an event happens (or did not happen)? You can also create other types of questions. DO NOT make your question answerable without looking at the context, or question of which the correct answer can be directly extracted from the context. DO NOT ask a question that requires very specialized knowledge that is not common sense. DO NOT ask too simple or too short questions. Your question must be related to the context and answerable with common sense. Try to add more variations and complexity to the questions.
Q: Context: " He 's a little bit occupied at the moment , could I possibly take a message ? " There was muffled fighting and then the man laughed loud right in my ear . " Um , it 's Bam . I just wanted to know where he was . ".
A: | Is it easy to reach the man ? | 9 | NIv2 | task023_cosmosqa_question_generation | zs_opt | [
0.5355859994888306,
0.20279058814048767,
-0.1632060557603836,
-0.5283052921295166,
-0.19898727536201477,
-0.40653571486473083,
0.525531530380249,
0.696225106716156,
0.11998101323843002,
0.20254205167293549,
-0.9339743256568909,
-0.24641892313957214,
-0.5849690437316895,
0.250598669052124,
... |
Detailed Instructions: In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as non-hateful. Answer "hateful" or "Non-hateful". Note that the URLs in the text have been replaced with [Link].
See one example below:
Problem: Post: @medelcami01 Tu eres mi perra cierto
Solution: Hateful
Explanation: This post contains explicit language "perra" and disrespects women. The English translation is "@medelcami01 You're my bitch right".
Problem: Post: @abc_es @HiginiaRoig Ya está la niña del exorcista diciendo tonterías. Has visto lo que a hecho la guarra de tú hija.
Solution: | Hateful | 4 | NIv2 | task334_hateeval_classification_hate_es | fs_opt | [
-0.7261993885040283,
0.009152594953775406,
0.383567750453949,
0.6998410224914551,
-0.5376436710357666,
-0.8913211226463318,
0.22254271805286407,
1.1638789176940918,
0.5791980028152466,
0.05804869532585144,
-0.42726588249206543,
0.18120720982551575,
-0.06255413591861725,
-0.3196468055248260... |
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
[EX Q]: [249.541, 233.825, 9.968]
[EX A]: [0.506 0.474 0.02 ]
[EX Q]: [98.788, -10.935, 154.847, 241.275, 14.539]
[EX A]: [ 0.198 -0.022 0.311 0.484 0.029]
[EX Q]: [231.713, 44.609, -61.527, 90.122]
[EX A]: | [ 0.76 0.146 -0.202 0.296]
| 6 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.5433371067047119,
0.37150225043296814,
-0.9566254615783691,
-1.2898461818695068,
-0.08342345058917999,
0.17327305674552917,
0.3005862236022949,
-0.3693390488624573,
-0.7446892261505127,
-0.01771574839949608,
-0.8590517044067383,
0.6768200397491455,
-0.15173882246017456,
-0.3903942108154... |
In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Let me give you an example: Rope and its Usage
The answer to this example can be: Intambo nomsebenzi ewenzayo.
Here is why: 'Intambo' means rope, 'nomsebenzi ewenzayo' roughly translates to 'the work it does', which is a native way of phrasing it.
OK. solve this:
Aggregation.
Answer: | Uhlanganiso. | 8 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | fs_opt | [
0.6637296676635742,
1.0019259452819824,
0.22197206318378448,
-0.08870011568069458,
-0.7636529207229614,
-0.8002250790596008,
0.9813131093978882,
0.09183820337057114,
-0.739715576171875,
-0.469441682100296,
-0.5786792039871216,
-0.29520606994628906,
-0.69919353723526,
-0.19900986552238464,
... |
In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences have been separated by a newline character.
Let me give you an example: ویژگی های هنر عصر اموی: ۱- تلفیقی بودن ۲- بازنمایی نوعی تفنن و تفریح ۳- نقاشی های تزئینی و تندیس های بی کیفیت
نقاشی های تزئینی و تندیس های بیکیفیت، یکی از ویژگی های هنر عصر اموی است.
The answer to this example can be: E
Here is why: The second sentence agrees with the first sentence.
OK. solve this:
سلطان سلیمان دهمین سلطان امپراتوری عثمانی است. او در اروپای سده شانزدهم به عنوان سلطانی برجسته و والامقام مطرح گشته بود که مسئولیت امپراتوری عثمانی را در اوج قدرت نظامی، اقتصادی، و سیاسیاش بر عهده داشت و امپراطوری عثمانی در این زمان بیشترین قدرت و وسعت را دارا بود.
امپراطوری عثمانی در زمان سلطان بایزید عثمانی بیشترین قدرت و وسعت را داشت و به لحاظ سیاسی و اقتصادی و نظامی سرآمد بود.
Answer: | C | 8 | NIv2 | task534_farstail_entailment | fs_opt | [
-0.12316817790269852,
0.24924567341804504,
0.15741217136383057,
-0.24510851502418518,
-0.3603971004486084,
-0.04023335874080658,
0.14280001819133759,
1.095049262046814,
0.42971426248550415,
0.012355880811810493,
-0.00106233567930758,
0.5625327825546265,
-0.6248723864555359,
-0.479018002748... |
Detailed Instructions: Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the third fact. An example of a chain is: "pesticides cause pollution" (given fact) + "pollution can harm animals" (related fact) → "pesticides can harm animals" (connected chain). Avoid creating simple paraphrases of the given fact. While your generated fact should be related to the input fact, they must describe slightly different scientific phenomena. It's okay if your related fact includes some irrelevant information, provided that it has some overlap with the given fact and it contains some words corresponding to the provided topic.
See one example below:
Problem: Fact: pesticides cause pollution.
Topic: pollution harms.
Solution: pollution can harm animals.
Explanation: This is a good related fact as this forms a chain with the given fact i.e. "pesticides causes pollution" + "pollution can harm animals" = "pesticides can harm animals".
Problem: Fact: storms cause bodies of water to increase amount of water they contain.
Topic: bodies of water lakes.
Solution: | Lakes are large bodies of inland water. | 4 | NIv2 | task037_qasc_generate_related_fact | fs_opt | [
0.011415383778512478,
0.771245002746582,
-0.8797569274902344,
-0.22096607089042664,
-0.45357608795166016,
-1.0388777256011963,
-0.377746045589447,
1.2007635831832886,
-0.7971891164779663,
0.014644802547991276,
-1.0987277030944824,
0.6490644216537476,
-0.6485317945480347,
0.1783312857151031... |
Instructions: You are given a statement written in Bengali. 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 .
Input: Statement: ২ এপ্রিলের মধ্যে <MASK>, তেলেঙ্গানা এবং কর্ণাটক যথাক্রমে ১,৩২৫, ১,০৬৪ এবং ৮০০ জন অংশগ্রহণকারীকে খুঁজে পেয়েছিল। তামিলনাড়ু রাজ্য থেকে আসা ১,৫০০ জন অংশগ্রহণকারীদের মধ্যে ১,১০৩ জনকে চিহ্নিত করেছে এবং তাদেরকে পৃথক করেছে। অন্ধ্র প্রদেশ এই রাজ্যের ১,০৮৫ জন লোকের মধ্যে প্রায় ৮০০ জনকে এই ধর্মসভায় অংশ নিয়েছে বলে জানা গেছে। গুজরাট পুলিশ, রাজ্য থেকে এই অনুষ্ঠানে অংশ নেওয়া ৭২ জনের উপস্থিতি শনাক্ত করেছিল। উত্তরপ্রদেশ ৫ এপ্রিলের মধ্যে ধর্মসভায় অংশ নেওয়া ১,২০৫ জনকে খুজে বার করে এবং সঙ্গনিরোধের ব্যবস্থা করতে সক্ষম হয়েছিল।
Option A: উত্তরপ্রদেশ
Option B: তামিলনাড়ু
Option C: উত্তরপ্রদেশের
Option D: মহারাষ্ট্র
Output: | মহারাষ্ট্র | 3 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | zs_opt | [
0.40708595514297485,
0.24771732091903687,
-0.454654335975647,
-0.30071836709976196,
-0.3571486473083496,
-1.0101382732391357,
-0.6329781413078308,
-0.2032216489315033,
-0.452284038066864,
0.6928165555000305,
-0.5820533037185669,
-0.24637427926063538,
-0.18320158123970032,
0.088694639503955... |
Instructions: You will be given a piece of text either about an everyday event, or a general statement. If the event seems a plausible event to you, or the general statement makes sense matches your commonsense, output 'True', otherwise output 'False'.
Input: Since John has to pick up his kids in ten minutes he will start cooking when he gets back.
Output: | True | 3 | NIv2 | task116_com2sense_commonsense_reasoning | zs_opt | [
-0.1776195913553238,
0.76093590259552,
-0.3577003479003906,
0.3329092264175415,
-0.5789345502853394,
-1.0843548774719238,
0.43043816089630127,
0.8222204446792603,
-0.4570516049861908,
0.46137216687202454,
-0.599949836730957,
0.36961573362350464,
-0.34101659059524536,
0.16809216141700745,
... |
Q: Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
Although few studies have examined cardiovascular disease in Asian-American subgroups separately, limited data in Asian Americans strongly suggest that some subgroups are at increased risk. The present study examined modifiable cardiovascular risk factor profiles as a function of Asian ethnicity.', 'This descriptive cross-sectional pilot study recruited Asian-American women (N=147) in northeast Florida including Cambodians (n=39), Chinese (n=36), Filipinos (n=49), and Vietnamese (n=23). Risk factors included blood pressure, body mass index, waist circumference and blood lipids.', 'Filipino participants (41%) had ≥4 risk factors compared to 21% Cambodian, 13% Vietnamese and 0% Chinese. The Chinese had significantly more participants (44%) with the absence of CVD risk factors compared to all other subgroups. Obesity rate (18%), mean BMI: 26 ± 5 kg/m(2) and mean triglycerides (173 ± 103 mg/dL) were highest in Filipinas (n=49). The Chinese (n=36) had a low rate (4%) of obesity with a mean BMI of 23 ± 3 kg/m(2) and the least risk factors along with the lowest triglycerides (88 ± 44 mg/dL). Cambodians (n=39; BMI of 24 ± 3 kg/m(2)) and Vietnamese (n=23; BMI: 22 ± 3 kg/m(2)) had low rates of obesity with comparable rates of unhealthy lipids and hypertension as the Filipinas.
A: | 1 | 7 | NIv2 | task848_pubmedqa_classification | zs_opt | [
0.43881046772003174,
-0.21808062493801117,
-0.7389169335365295,
0.136526420712471,
0.44948652386665344,
0.37602975964546204,
0.17439427971839905,
1.010988473892212,
0.20201866328716278,
0.6941941976547241,
-0.364272803068161,
-0.24517029523849487,
-0.05838731676340103,
0.09953130781650543,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Cercando online, si trovano posti come Codecademy ed eventi come CoderDojo e siti come Girls Who Code, o Black Girls Code.
Output: | Se virem na Internet irão encontrar lugares como a 'Academia do Código (Codeacademy)' e eventos como 'Dojo do Código' (CoderDojo) e sítios Web como 'Meninas que programam' ou 'Código das Meninas Negras' (Black Girls Code) ' | 1 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
-0.14439615607261658,
-0.15848717093467712,
0.07500629127025604,
-0.908057689666748,
-0.09679698944091797,
-0.3022878170013428,
-0.1866016685962677,
1.1067174673080444,
-0.2155432254076004,
0.3872618079185486,
-0.5682296752929688,
0.044347189366817474,
-0.8678532838821411,
-0.0313728451728... |
Given the task definition and input, reply with output. Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 木曜日、フェイスブックは、ソーシャルネットワークを用いてテクノロジーの一部の共有を開始すると発表した。
Lao: Facebook ໄດ້ປະກາດວ່າໃນວັນພະຫັດວ່າຈະເລີ່ມແບ່ງປັນ ບາງເທັກໂນໂລຍີຈາກ ເຄື່ອຄ່າຍທາງສັງຄົມຂອງພວກເຂົາ.
| Yes | 5 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-1.1829913854599,
0.029079139232635498,
0.21043901145458221,
-0.3535076677799225,
-0.3237280249595642,
-0.19124343991279602,
0.8202682733535767,
0.9115049839019775,
-0.29039818048477173,
-0.7747740149497986,
-0.14950917661190033,
0.4767581522464752,
-0.2296704202890396,
0.5987128019332886,... |
A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
Ex Input:
செயற்கைக் கோள் எதிர்ப்பு (ASAT) ஏவுகனையை , இந்தியா, வெற்றிகரமாக பரிசோதித்துள்ளது.
Ex Output:
ভারত সাফল্যের সঙ্গে উপগ্রহ বিধ্বংসী ক্ষেপণাস্ত্রের পরীক্ষা চালিয়েছে।
Ex Input:
நீண்டகாலமாக அவர்கள் எதிர்கொண்ட அனுபவத்தின் விளைவுதான் இது. அவர்களின் நம்பிக்கைகள் நீடித்திருக்கவில்லை, விரைவிலேயே அவர்கள் விரக்தியில் ஆழப்புதைந்தனர்.
Ex Output:
দীর্ঘ সময়ের অনুভবে এই ফল পাওয়া গেল, আশা দীর্ঘস্থায়ী হয় না, আশা কিছু সময়ের মধ্যেই নিরাশার গর্ভে ডুবে যায়।
Ex Input:
இப்போது வெளியிலிருந்து வரும் தொலைபேசி அழைப்பை கவனிப்போம்.
Ex Output:
| আসুন শোনা যাক একটি ফোন কল,
| 1 | NIv2 | task982_pib_translation_tamil_bengali | fs_opt | [
-0.3090256452560425,
0.36751753091812134,
-0.39022642374038696,
0.06669527292251587,
-0.09029719233512878,
-0.5959374904632568,
0.6803961396217346,
-0.16794002056121826,
-0.1403830349445343,
0.3903827667236328,
-0.953264594078064,
0.5931349992752075,
0.22553306818008423,
0.1027447208762168... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head includes an event or an action in the Tail or not. This happens when the Tail denotes a step within the larger head event. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: have lunch<sep>Tail: put napkin in lap | Yes | 0 | NIv2 | task1211_atomic_classification_hassubevent | zs_opt | [
0.08196429908275604,
0.047275856137275696,
0.22018921375274658,
-0.00008792569860816002,
-0.6197762489318848,
-0.47388601303100586,
1.2313719987869263,
0.3808825612068176,
-0.6578980684280396,
-0.5362972021102905,
-0.45768165588378906,
-0.3314070403575897,
-0.824993371963501,
0.12677349150... |
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the author is considering doing something in the future. Say 'yes' if the claim is true otherwise say 'no'
Ex Input:
CLAIM : The following post is HISTORICAL. POST : So I have been texting and FaceTiming this woman I met on Match for the past 10 days - we live about 90 minutes from one another. Earlier this week we made plans to go out tonight (Friday). Knowing I lived 90 minutes away, she suggested I rent a hotel room so that I could have some drinks and have a place to crash without worrying about having to drive home after our date. I thought it was a splendid idea so I booked the room. I also made dinner reservations for us at what she had previously told me was her favorite restaurant. Then, last night, she calls and is crying - she had a horrific day at work and I listened and sympathized with her for 2 hours on the phone, at the end of which she thanked me and said that after her brutal day at work, she was not up to going out and wanted to just "cry the weekend away" and avoid the human race as much as possible. I replied that getting out might be just the thing we needed and I was looking forward to seeing her -- she stated that she just could not envision herself having a good time with anyone this weekend - I left it at that as I did not want to be "that guy" pushing or begging her to go out with me. I called the hotel and canceled my reservation, losing about $300 in the process (the cost of the room) as the cancelation was less than 24 hours before check-in and then canceled the restaurant reservation. Today, she texted me to say good morning and told me she had a change of heart and really wants to see me tonight. I then informed her I had already canceled the hotel room and restaurant reservations. She said I should try to rebook a hotel (right, because booking a hotel the night of in New York City will never be cost prohibitive) and "make it happen". I told her that as much as I was looking forward to our date, that I think it would be best if we tried next weekend instead. I understood how she felt about her bad day at work and canceling our date but, having taken the hit on the room already, I became somewhat annoyed and my headspace changed from "I am so excited for this date" to "meh". So, the date remains canceled. AITA?
Ex Output:
yes
Ex Input:
CLAIM : The following post is HISTORICAL. POST : Some backstory:
My sister about three years ago was constantly talking about having kids. Mind you, she was a junky and thought that a child would solve all of her problems and make her happy. She probably also lived with a serious mental illness due to genetics (runs in the family) and brain damage sustained from a car wreck. Well, her boyfriend and her were successful and their son, my nephew, was born about 18 months ago.
From the moment she started talking about having a kid, my partner and I were very straight with her and told her to focus on sobriety and getting her shot together first. We were also very clear that if she decided to have a kid, we weren’t gonna be the ones raising the kid.
After still struggling with addiction and being in and out of jail for the past year, she passed from OD about a month or so ago. Every other weekend my mom is supposed to have her grandson, my nephew. Of course the dad is shotty and not the most reliable person so this means the “every other week” plan hasn’t been held up. So even knowing my opportunities to see my nephew are slim, I still don’t want to spend my days off driving 2 hours to sit there and do nothing. Like I said earlier, I have no interests in being around kids or raising any. My mom tries to guilt trip me with the “it takes a village” shit but all that does is make me feel bad for not being an active participant in my nephews life. Additionally, I don’t even really want to see my mother ever because she only hears what she wants to and constantly projects her opinions as reality.
AITA for rather staying home to play video games on my days instead of being an active participant in my nephews life?
TL;DR
Sister was a junky, had a kid, OD’ed, mother tries to guilt trip me into seeing my nephew, I don’t want to and I’ve always been opposed to her ever having kids, don’t want kids of my own. AITA for not wanting to spend my days off traveling two hours to sit there with a 18 month old?
Ex Output:
no
Ex Input:
CLAIM : The following post is HISTORICAL. POST : I wanted to go with a couple of friends to dinner for one of my friends who was there. I asked if they were there and another had said they left, but not from where. I assumed they meant from home to there but when I got there I tried to make sure they were still there but then I'm told that they had left when I texted them at first. Turns out, they went straight from school to the resturant. Without telling me that was their plan. Ever. I got mad, telling her she should have said something about them being there straight from school. She said that I was getting mad for nothing. I said bye and canceled myself for the movie after that I had actually known about. AITA?
Ex Output:
| no
| 1 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
0.1275598257780075,
0.10502567887306213,
0.32859545946121216,
0.14286267757415771,
0.37367331981658936,
-0.6350938081741333,
0.8576987385749817,
1.315758228302002,
-0.24582037329673767,
-0.3427520990371704,
0.199264258146286,
0.2897794544696808,
-0.5459561347961426,
0.29207146167755127,
... |
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: page<sep>Tail: print | Yes | 0 | NIv2 | task1212_atomic_classification_hasproperty | zs_opt | [
0.01229896955192089,
-0.0021696339827030897,
0.4476594626903534,
0.02971992827951908,
-0.5236560702323914,
-0.4688279330730438,
0.8483859300613403,
0.5457900166511536,
-0.504089891910553,
-0.25200390815734863,
-0.8243245482444763,
-0.20857520401477814,
-0.25878965854644775,
0.2659423351287... |
You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input
Q: ASSISTANT: Can you tell me, what type of movies do you like? , USER: Action movies. , ASSISTANT: okay. Why do you like action? , USER: There's a lot going on. I like it when they have a story too though. , ASSISTANT: do you like movies like Mission Impossible? , USER: The first ones were good, but I really couldn't tell them apart now., classify_text: Can you tell me the title of one of your favorite movies?
A: ASSISTANT
****
Q: ASSISTANT: What kind of movies do you watch? , USER: Well, I like comedies, dramas, fantasy movies, the action adventure. , USER: things like that , ASSISTANT: What was the last movie that you watched that you enjoyed? , USER: One of last movies I watched that I enjoyed was Black Panther. , ASSISTANT: What did you like the most about that movie?, classify_text: I liked that it had a largely African-American cast, and I like the story line.
A: USER
****
Q: ASSISTANT: What kind of movies to you like, and why do you like this type of movie? , USER: I like funny movies cuz they're funny. , ASSISTANT: Can you name a particular movie that you like? , USER: I like Shrek. , ASSISTANT: Can you give me a couple of reasons why you like this movie? , USER: I like it because it has this green monster that talks with this donkey, and it's funny., classify_text: Can you name a movie that you do not like?
A: | ASSISTANT
****
| 4 | NIv2 | task925_coached_conv_pref_classifier | fs_opt | [
-0.01731044240295887,
-0.6069087982177734,
0.013729028403759003,
0.4833594262599945,
0.2002418339252472,
-0.15707743167877197,
0.865966796875,
0.7638275623321533,
0.3038477897644043,
-0.03666998818516731,
-0.03732986003160477,
-0.8467381596565247,
-0.5280126333236694,
-0.08603299409151077,... |
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: 去年ハリケーンフランシスとイヴァンが来ていた間、ＨＭＳリッチモンドとＲＦＡウェイブルーラーは積極的に人道支援にあたった。
A: | Selama badai Frances dan Ivan tahun lalu, HMS Richmond dan RFA Wave Ruler telah secara aktif terlibat dalam bantuan kemanusiaan. | 4 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
-0.5275874733924866,
0.4891597628593445,
-0.37106895446777344,
-0.273235946893692,
-0.21229338645935059,
-1.0615044832229614,
0.7600950002670288,
-0.7507348656654358,
0.28426653146743774,
-0.10529421269893646,
-0.9109997153282166,
0.05305112153291702,
-0.6604033708572388,
0.441372692584991... |
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