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 |
|---|---|---|---|---|---|---|
TASK DEFINITION: You are given a sentence in English. Your job is to translate the English sentence into Italian.
PROBLEM: Another author doesn't give any numerical estimate, but says the probability is significant that it will fail.
SOLUTION: Un altro autore non dà nessuna stima numerica, ma dice che la probabilità c... | Ed è diventata la norma nelle nostre vite professionali, una regola e un'aspettativa.
| 8 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.42061007022857666,
0.49139875173568726,
0.3566948175430298,
-0.5919431447982788,
-0.11785376071929932,
-0.1337577998638153,
0.8656501173973083,
0.6737112998962402,
0.07302146404981613,
-0.25976401567459106,
-0.24843311309814453,
0.4680641293525696,
-0.6804578900337219,
-0.04218937456607... |
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (co... | Output: ['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', '... | 2 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.21097418665885925,
-0.33695366978645325,
-0.07881804555654526,
-0.08516131341457367,
0.5124884247779846,
-0.46960756182670593,
0.6061900854110718,
1.196528673171997,
-0.5166418552398682,
0.28129836916923523,
-0.18569302558898926,
-0.417805939912796,
-0.3821282386779785,
0.144327118992805... |
TASK DEFINITION: In this task, you're given a review from Amazon and 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. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentenc... | False
| 8 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
0.5086760520935059,
0.17382775247097015,
-0.6670793294906616,
0.147330641746521,
0.2942066788673401,
-0.11740782856941223,
0.4829676151275635,
1.0706077814102173,
-0.4228084981441498,
0.3773757815361023,
-0.2468152642250061,
0.6055395603179932,
-0.4418433904647827,
0.053293824195861816,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
Example: ويوجد أساسا مرجل دوار.
Example solution: É basicamente un caldeiro que rota.
Example explanation: The Arabic sentence is correctly translated into Galician, because the meaning is preserved.
Problem: يسمونه "" 24 س... | Solution: Un "" refuxio de 24 horas no tempo "", así o chaman. | 5 | NIv2 | task1105_ted_translation_ar_gl | fs_opt | [
-0.18165838718414307,
0.5491330623626709,
-0.0005287923850119114,
-0.038709040731191635,
-0.4575643837451935,
-0.4856415390968323,
0.8277196288108826,
-0.456800252199173,
-0.24258869886398315,
-0.6749128699302673,
-0.4970873296260834,
0.10924750566482544,
-1.1467766761779785,
0.25991815328... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
Q: بنابراین فکر کردم ، « اگر این دو تا را با هم ترکیب کنم ، چه اتفاقی می افتد ؟ » (خنده ی حاضرین) (تشویق حاضرین) ویلچر زیر آبی که با موفقیت درست شده بود بهترین ماجراجویی هفت سال اخیرم را به من هدیه کرد. بهترین ماجراجویی هف... | (Risos) Uma sensação muito diferente.
****
| 4 | NIv2 | task1273_ted_translation_fa_pt | fs_opt | [
0.1370842158794403,
0.2531610131263733,
-0.47577667236328125,
0.4699068069458008,
-0.4556339979171753,
-0.2264433354139328,
0.611077070236206,
1.0904386043548584,
0.5020569562911987,
0.18877023458480835,
0.2259572148323059,
1.0073035955429077,
-0.364371657371521,
0.21368280053138733,
-0.... |
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 ا... | كان هناك كهف في نيويورك فيه 15000 خفاش ، الان بقيت هناك 1000 خفاش. هذا مثل سان فرانسيسكو ليصبح عدد سكانها نصف هذه المقاطعة منذ ثلاث سنوات. | 1 | NIv2 | task1250_ted_translation_it_ar | fs_opt | [
-0.645184338092804,
0.4066007137298584,
-0.40111997723579407,
-0.49977993965148926,
-0.3708386719226837,
-0.00007912842556834221,
0.5951529741287231,
0.9942307472229004,
0.2501700222492218,
-0.020909935235977173,
-0.3623446822166443,
0.46974045038223267,
-0.7254876494407654,
0.326528310775... |
Definition: Given a scientific question, generate a correct answer to it.
Input: What group of elements cannot conduct electricity?
Output: | nonmetals | 2 | NIv2 | task591_sciq_answer_generation | zs_opt | [
0.754331648349762,
1.1772308349609375,
-0.17340698838233948,
-0.7123029232025146,
-0.8098593950271606,
-0.5470435619354248,
0.37064966559410095,
-0.2234227955341339,
0.449409157037735,
0.0711790919303894,
-0.42478105425834656,
0.3105584383010864,
0.11060609668493271,
-0.7218489646911621,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Ex Input:
Gli scozzesi stanno ancora cercando di migliorare la mia voce, e sono ottimista al riguardo.
Ex Output:
スコットランドでまだがんばって私の声を改善してくれているので今後もっと良くなると思います
Ex Input:
(Risata) Ora, sto forse dicendo che ci sono degli... | 学習の未来はどうなっていくでしょうか
| 1 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
-0.41836681962013245,
0.4147617220878601,
-0.3909456729888916,
-0.4618523120880127,
0.05434509366750717,
-0.23358075320720673,
0.05150847136974335,
0.11454544961452484,
0.23897278308868408,
-0.7602676153182983,
-0.3479709327220917,
0.23842069506645203,
-0.19597867131233215,
0.1614072918891... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Teacher: Now, understand the problem? Solve this instance: Ancora più importante, non riuscite a vedere cosa ne resta fuori.
Student: | والأكثر أهمية ، لا ترى في الواقع ما الذي يحرر فيبعد. | 6 | NIv2 | task1250_ted_translation_it_ar | zs_opt | [
0.1641204059123993,
1.0141994953155518,
0.8208680152893066,
-0.7577232122421265,
-0.45038944482803345,
0.18817323446273804,
-0.28005021810531616,
0.632324755191803,
0.0016044412041082978,
0.32575109601020813,
-0.08764976263046265,
-0.6869576573371887,
-0.7246277332305908,
-0.03510038182139... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
Q: וכך כל מה שצריך זה חלקי חילוף של טויוטה והיכולת לתקן פנסים ראשיים, ואז ניתן לתקן את הדבר הזה.
A: | Wszystko, czego potrzebujesz, to części ze swojej Toyoty i umiejętności naprawy lampy, aby naprawić to. | 9 | NIv2 | task1112_ted_translation_he_pl | zs_opt | [
-0.12292370945215225,
0.7676102519035339,
0.8046126365661621,
0.5357466340065002,
-0.08917010575532913,
-0.9267078638076782,
0.6974145174026489,
0.3929155468940735,
0.5106848478317261,
-0.024883728474378586,
0.30994534492492676,
0.4083123803138733,
-0.46841344237327576,
0.5347891449928284,... |
Teacher:You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Teacher: Now, understand the problem? Solve this instance: Lo siguiente que ustedes necesitan entender como un principio es que cuando se hace un cambio, se necesita hacer con extraordinario cuidado.
Student: | הדבר הבא שאתם צריכים להבין כעיקרון הוא שכשאתם מציגים שינוי אתם צריכים לעשות את זה בזהירות רבה, | 6 | NIv2 | task1229_ted_translation_es_he | zs_opt | [
-0.21502742171287537,
0.3746688961982727,
0.2346034049987793,
-0.736770749092102,
-0.43385016918182373,
-0.49235013127326965,
0.5167368650436401,
0.6888378858566284,
0.2940649390220642,
-0.20295165479183197,
0.07237254083156586,
-0.5776370763778687,
-1.0880578756332397,
-0.6542373895645142... |
Q: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
The word that comes to mind , while watching Eric Rohmer 's tribute to a courageous Scottish lady , is painterly ... | POS | 7 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-1.2434732913970947,
0.2856030762195587,
0.46501606702804565,
-0.4661869406700134,
0.32483816146850586,
-1.36423659324646,
1.0021710395812988,
0.013947267085313797,
0.9259351491928101,
0.21713405847549438,
-0.08610811084508896,
-0.048948902636766434,
0.08055148273706436,
0.1360328793525695... |
In this task, you need to count the number of times the given letter appears in the given sentence.
Input: Consider Input: Sentence: 'a small wrinkley dog wearing a bow tie'. Find frequency of the letter 'e'
Output: 3
Input: Consider Input: Sentence: 'pedestrians pass by a stop sign, some holding surfboards'. Find ... | Output: 4
| 2 | NIv2 | task113_count_frequency_of_letter | fs_opt | [
-0.3468948006629944,
0.18810507655143738,
-0.596909761428833,
-0.053792133927345276,
-0.17946600914001465,
-0.4251645505428314,
-0.04855979233980179,
0.8283546566963196,
-0.3874163329601288,
0.2348756492137909,
-0.6986234188079834,
0.6860560774803162,
0.38533076643943787,
-0.45004361867904... |
In this task you will be given a question and a passage. You need to determine if the answer to the question is contained in the passage. If the answer can be found in the passage you should output 'True'. If the answer cannot be found in the passage you should output 'False'.
--------
Question: Passage: 'In both 1963 ... | False
| 7 | NIv2 | task520_aquamuse_answer_given_in_passage | fs_opt | [
-0.036965563893318176,
-0.36698591709136963,
-0.7879772186279297,
0.4493740200996399,
0.13753622770309448,
-0.5756130218505859,
0.9646657705307007,
0.11493143439292908,
-0.15518805384635925,
0.2308914065361023,
-0.7954490184783936,
0.7686620950698853,
-0.5297307372093201,
0.326374173164367... |
Teacher:Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using words (e... | no | 6 | NIv2 | task115_help_advice_classification | zs_opt | [
-0.11235497891902924,
0.2438732385635376,
0.1758907288312912,
0.17949843406677246,
0.23762845993041992,
-1.3276408910751343,
0.5424100160598755,
0.5565271377563477,
-0.044723063707351685,
0.08637482672929764,
-0.251179575920105,
-0.5444732308387756,
-1.0650129318237305,
-0.4171440601348877... |
Detailed Instructions: Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentione... | OTHER | 8 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | zs_opt | [
-0.15301008522510529,
0.1875223070383072,
-0.051350995898246765,
-0.13344833254814148,
-0.010336501523852348,
-0.3801979720592499,
-0.06629661470651627,
0.8596506118774414,
0.4529767632484436,
-0.007460097782313824,
-0.006997113116085529,
-0.2702277898788452,
-0.7812372446060181,
-0.563421... |
Detailed Instructions: In this task, you will be presented with a text and a pronoun. You should write an implausible answer to the question of what is the pronoun's reference. Even though there exist multiple wrong answers, we only need a single wrong answer. Position of the pronoun in the text is showed within two "_... | Joseph Wheeler | 9 | NIv2 | task331_gap_incorrect_answer_generation | zs_opt | [
0.2921708822250366,
0.6186845302581787,
0.34549134969711304,
0.1609635353088379,
-0.18711122870445251,
-1.088215947151184,
1.3778619766235352,
0.848468005657196,
0.4109605550765991,
-0.07305838167667389,
-0.76496821641922,
0.28323641419410706,
-0.9240753650665283,
-0.03580529987812042,
-... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
One example is below.
Q: מה מייחד את המוח האנושי?
A: 人の脳の何がそんなに特別なのでしょうか ？
Rationale: The Hebrew sentence is correctly translated into Japanese. They both refer to the human brain.
Q: מה שהשתנה היה האיזון בין הרקמות הזמינות.... | 異なるのは活動中の組織間のバランスです | 9 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
-0.07049006223678589,
0.2805156707763672,
0.1440819650888443,
-0.36042070388793945,
-1.0553843975067139,
-0.679801344871521,
0.7559489011764526,
-0.24995490908622742,
1.1975022554397583,
-1.1200578212738037,
-0.8391937017440796,
0.2652735710144043,
-0.9156810641288757,
0.7627134323120117,
... |
Instructions: 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 answ... | Joe like(s) Star Wars >Motivates> Joe is a big fan | 3 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.40736889839172363,
0.6552485227584839,
-0.3242921233177185,
0.40730932354927063,
0.00896814651787281,
-0.6888940930366516,
0.6977219581604004,
0.49574267864227295,
-0.043919309973716736,
0.22348396480083466,
-0.5903635621070862,
-0.31786295771598816,
-0.15966148674488068,
-0.20309433341... |
We would like you to assess the QUALITY of each of the following argument (discussing Gay Marriage) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of gay marriage. A... | Valid
****
| 4 | NIv2 | task148_afs_argument_quality_gay_marriage | fs_opt | [
-0.07727177441120148,
0.6436080932617188,
0.7528853416442871,
-0.46438348293304443,
-0.3591740131378174,
-1.3792047500610352,
0.7008798122406006,
0.5285970568656921,
0.27398622035980225,
-0.3266441226005554,
-0.8165582418441772,
0.12818071246147156,
-0.3742188811302185,
-0.2204866260290146... |
In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it should be in se... | No
| 1 | NIv2 | task426_hindienglish_corpora_hi-en_classification | fs_opt | [
-0.4652132987976074,
-0.014218711294233799,
0.289384663105011,
0.15610046684741974,
-0.05283243581652641,
-0.7186722159385681,
-0.8135300874710083,
0.415871798992157,
-0.18205417692661285,
-0.14361461997032166,
-0.4615437984466553,
0.15659739077091217,
-0.33625978231430054,
-0.754604279994... |
Detailed Instructions: Given a sentence in English(en), generate a translation of that sentence in Hindi(hi) without changing the meaning of the input sentence as the output
Q: Running is beneficial for the mind, body and soul.
A: | दौड़ना मन-मस्तिष्क और शरीर सबके लिए फायदेमंद है | 9 | NIv2 | task1654_mkb_translation | zs_opt | [
-0.607153594493866,
0.5834399461746216,
-0.07851650565862656,
0.6540570259094238,
-0.8953100442886353,
-0.9884542226791382,
-0.5998107194900513,
-0.15837043523788452,
-0.11248558759689331,
-1.2992663383483887,
-1.00815749168396,
-0.33892109990119934,
-0.620924174785614,
0.30497825145721436... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with the directions of a recipe separated by "," and have to fill in the "___" which is a step that is missing from the recipe.
Boil and cut up potatoes in julienne pieces.,In a saucepan, over low heat, com... | Remove from heat and blend in sour cream, scallions, salt and pepper. | 1 | NIv2 | task572_recipe_nlg_text_generation | zs_opt | [
0.24704623222351074,
0.9309334754943848,
-0.4822412133216858,
0.9559260606765747,
-0.12273403257131577,
0.666276752948761,
1.2455260753631592,
0.5841970443725586,
-0.31461507081985474,
-0.2981780469417572,
0.3286671042442322,
-0.37472277879714966,
-0.39430662989616394,
0.2559810280799866,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the... | The woman can play an instrument.
| 7 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
-0.6089900135993958,
0.5640848875045776,
-0.1632642149925232,
-0.499402791261673,
0.07032456248998642,
-0.4516310691833496,
-0.3328954577445984,
0.9531300067901611,
0.5029340386390686,
-0.8159944415092468,
-1.1870009899139404,
-0.5669742822647095,
-0.3082250952720642,
-0.46172547340393066,... |
In this task, you will be presented with a question that has multiple possible answers. You should choose the most suitable option out of "A", "B", "C", "D", and "E", based on your commonsense knowledge.
[Q]: Question: How do you get good at playing guitar?
Options: A polish your guitar regularly. B pick C practice ... | B
| 5 | NIv2 | task1135_xcsr_en_commonsense_mc_classification | fs_opt | [
-0.09552262723445892,
0.9113962054252625,
-0.6333122253417969,
-0.6186748743057251,
-0.11320419609546661,
-0.8889613151550293,
0.8481422662734985,
0.35032010078430176,
0.5385566353797913,
0.3059218227863312,
-0.12369604408740997,
0.265415221452713,
-0.3860849440097809,
-0.5440528392791748,... |
You will be given a definition of a task first, then some input of the task.
Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied wi... | False | 1 | NIv2 | task494_review_polarity_answer_generation | zs_opt | [
-0.4632227420806885,
-0.08608636260032654,
0.17555712163448334,
0.4178537428379059,
0.3926941454410553,
0.4189611077308655,
0.9657235741615295,
0.6196277141571045,
0.400496244430542,
0.3372366428375244,
-0.01687825471162796,
-0.41562527418136597,
-0.4581107199192047,
-0.6216229200363159,
... |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? ... | purpose | 4 | NIv2 | task1163_coda19_section_classification | zs_opt | [
-0.8045441508293152,
0.8265644311904907,
-0.031191255897283554,
-0.19304615259170532,
-0.24065372347831726,
0.6492313742637634,
0.6005483865737915,
0.7713276147842407,
0.3806743025779724,
-0.3588884472846985,
-1.088907241821289,
0.14112001657485962,
-0.010079137980937958,
0.108794525265693... |
TASK DEFINITION: In this task, you are given a sentence in English, and your task is to translate it into Persian.
PROBLEM: and this quiet party in the woods most attractive to his restless spirit.
SOLUTION: و این جمع آرام توی جنگل برای روح ناآرام لاری، خیلی جذاب‌تر بود.
PROBLEM: and the wisest course was to wait til... | پس از آن رفت بیرون تا مجله‌ها و هفته نامه‌ها را در کتابخانه ورق بزند که آنجا هم ساعت ۱۰ شب تعطیل شد.
| 8 | NIv2 | task661_mizan_en_fa_translation | fs_opt | [
0.4903064966201782,
0.613988995552063,
-0.3674177825450897,
-0.6869441270828247,
-1.1335716247558594,
0.3156000077724457,
1.4301278591156006,
-0.20805150270462036,
0.13875293731689453,
-0.49711528420448303,
-0.5526139140129089,
0.32505497336387634,
-0.9001880884170532,
0.5762267708778381,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Let me give you an example: E eu continuo a pensar que o transporte é o centro deste universo.
The answer to this example can be: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Here is why: The Portugese sentence... | هنوز این دولت ها بودند که به مردم می گفتند باید چه کار بکنند. | 8 | NIv2 | task1282_ted_translation_pt_fa | fs_opt | [
-0.20268245041370392,
0.734994649887085,
0.44427740573883057,
0.11118292063474655,
-0.5866774916648865,
-0.14360414445400238,
0.5991156101226807,
0.38402095437049866,
-0.0974617749452591,
-0.004693637136369944,
-1.2461436986923218,
0.48012489080429077,
-0.15771807730197906,
0.7005134820938... |
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. For ... | Solution: scared for the safety of others | 5 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
-0.011325981467962265,
-0.02826623246073723,
0.26978710293769836,
-0.33675864338874817,
0.36008143424987793,
-0.2631067633628845,
1.0158028602600098,
0.7194738984107971,
0.1098015308380127,
-0.36208871006965637,
-0.23495665192604065,
-0.39699310064315796,
-0.696392297744751,
0.114496558904... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Q: Which of these ballets was not choreographed by George Balanchine?
A: | ballet | 4 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
0.6990126371383667,
1.431088924407959,
0.06686751544475555,
0.13807232677936554,
-0.6012135744094849,
0.8779217600822449,
0.8368004560470581,
0.4300963282585144,
-0.31948232650756836,
-0.5483685731887817,
0.1860593557357788,
0.5911512970924377,
-0.3844609260559082,
0.30588003993034363,
-... |
Given the task definition, example input & output, solve the new input case.
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 afte... | happy | 1 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.18767835199832916,
0.2112545669078827,
0.17946121096611023,
0.2642415761947632,
0.1980745494365692,
-0.3411875367164612,
0.33949118852615356,
0.8925077319145203,
-0.010444127023220062,
-0.37997597455978394,
-0.30398720502853394,
-0.24890843033790588,
-0.38739874958992004,
0.024900678545... |
Detailed Instructions: You need to answer the question 'Are the given steps in order?', given a set of steps describing a process. Your answer must be either Yes or No. If the answer is No, that means the steps are out of order and do not make sense in the order they are in. If the answer is Yes, that means the steps a... | No | 9 | NIv2 | task1548_wiqa_binary_classification | zs_opt | [
0.6072967052459717,
0.08320561051368713,
-0.6848436594009399,
0.5831223726272583,
0.18119622766971588,
-0.5193952322006226,
0.13575804233551025,
0.5920398235321045,
-0.2590450048446655,
0.4808976352214813,
0.5158307552337646,
-0.393319696187973,
-0.5236213803291321,
0.2688228487968445,
0... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Let me give you an example: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
The answer to this example can be: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المست... | و قلت ، "" مو ، أنت على حق. إننا... كلا ، ولكننا نفعل ذلك من قبل | 8 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.295235276222229,
0.7138193249702454,
-0.1138342097401619,
-0.619685173034668,
-0.6269975900650024,
-0.10733556747436523,
0.8665623664855957,
-0.008512494154274464,
0.4997023940086365,
-0.3759903907775879,
-1.2506476640701294,
-0.03816845640540123,
-0.8866442441940308,
-0.055438958108425... |
Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal dependin... | non-personal | 3 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-1.3156100511550903,
0.2735678553581238,
0.14669665694236755,
0.2743076980113983,
-0.9156432151794434,
-0.47039055824279785,
0.1554652452468872,
-0.06129925698041916,
-0.25371795892715454,
-0.54636549949646,
-0.9372977614402771,
0.13130608201026917,
-0.1406184434890747,
-0.3651864528656006... |
Detailed Instructions: In this task, you are given dvd product reviews in Japanese 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.
Q: ２時間ドラマ・レベル・・・ . 幼い頃に、警官であった父が、母を殺害し、自殺したという トラウマをもった主人公が、サンフランシスコ... | NEG | 9 | NIv2 | task486_cls_japanese_dvd_classification | zs_opt | [
-0.2558704614639282,
-0.2764762043952942,
-0.11482428759336472,
-0.09198259562253952,
-0.18592248857021332,
0.17995285987854004,
0.8747014999389648,
0.1787448227405548,
0.20351792871952057,
0.5612468719482422,
-0.49962908029556274,
-0.2872183322906494,
-0.08419415354728699,
0.0135194566100... |
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using an... | I did not have enough money. | 4 | NIv2 | task067_abductivenli_answer_generation | zs_opt | [
-0.5690010786056519,
0.5736100077629089,
0.09025154262781143,
-0.1958046406507492,
-0.43696266412734985,
0.31530314683914185,
0.7566986083984375,
0.3618626892566681,
-0.041702479124069214,
-0.1329408884048462,
-0.6929462552070618,
0.4986366331577301,
-0.32822155952453613,
-0.34877017140388... |
Instructions: You are given a statement written in Hindi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Input: Statement: <MASK> - वर्गमूल दिवस, जिसमें साल के आखिरी दो अंकों का वर्गमूल दिन और महीने के क्रमा... | 2009 | 3 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | zs_opt | [
0.11863887310028076,
0.5240616798400879,
0.0442453995347023,
-0.03880227357149124,
-0.4595494270324707,
-0.5009477138519287,
0.9182506203651428,
0.3192119002342224,
-0.6013888120651245,
-0.6277238130569458,
0.002005738904699683,
0.2417888045310974,
0.5819761753082275,
0.017979001626372337,... |
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
One example is below.
Q: Gujarati: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે.
Eng... | Yes | 9 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | fs_opt | [
-0.692003607749939,
0.15836405754089355,
0.4918447732925415,
0.2780212163925171,
0.2552638351917267,
-1.0155746936798096,
-0.18506348133087158,
0.31626221537590027,
-0.26516860723495483,
-0.06409551203250885,
-0.28620386123657227,
0.24240517616271973,
-0.8380270600318909,
0.318369537591934... |
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Let me give you an example... | 4687 | 8 | NIv2 | task086_translated_symbol_arithmetic | fs_opt | [
-0.15315720438957214,
1.0683562755584717,
-0.6586652398109436,
-0.05273788049817085,
-0.12983351945877075,
-0.4491387903690338,
0.7698615789413452,
0.9387369751930237,
0.4398173391819,
-0.6148067116737366,
-0.738599956035614,
-0.05984950810670853,
-0.458593487739563,
0.6025406718254089,
... |
In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.
Passage: The N... | 0 | NIv2 | task390_torque_text_span_selection | fs_opt | [
0.7251079082489014,
-0.17302945256233215,
-0.5672099590301514,
0.45721328258514404,
0.1075967475771904,
-0.2703719139099121,
0.5402337908744812,
0.4181658625602722,
0.25707656145095825,
0.4408313035964966,
-0.8248628377914429,
0.08354651927947998,
-1.005070686340332,
0.4769364893436432,
... | |
In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.
When we were shoppi... | Answerable | 0 | NIv2 | task290_tellmewhy_question_answerability | zs_opt | [
-0.7075930237770081,
-0.2546764612197876,
0.3297921121120453,
-0.013296103104948997,
-0.580504298210144,
-0.202236145734787,
0.5080831050872803,
0.6006172895431519,
0.1604367047548294,
0.04384846240282059,
-0.4099845886230469,
-0.0675637274980545,
-0.5866804122924805,
0.03930191323161125,
... |
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
One example: What does the dc in Wa... | June 14, 1930 | 6 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
-0.07895742356777191,
0.5559613704681396,
-0.449204683303833,
-0.43818145990371704,
-0.23006711900234222,
-0.22313514351844788,
0.9449107050895691,
0.3477642834186554,
0.6462650299072266,
0.029998397454619408,
-0.9573380351066589,
-0.02017732709646225,
-0.47647351026535034,
0.1908948123455... |
Teacher:In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
Teacher: Now, understand the problem? Solve this instance: #31DaysOfJoy Laughter brings me so much joy! It's good for the ❤️. #laughter #laugh... | Happy | 6 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | zs_opt | [
-1.912628412246704,
0.06968152523040771,
0.9565037488937378,
-0.6114948987960815,
-0.017654690891504288,
-0.8653519153594971,
-0.10273875296115875,
0.2969314754009247,
0.23017415404319763,
0.08336646854877472,
-0.4441249966621399,
-0.14580267667770386,
-0.19245721399784088,
-0.274125039577... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Let me give you an example: Brindo soluciones. Estoy muy feliz.
The answer to this example can be: Udostępniam rozwiązanie. Jestem bardzo szczęśliwy.
Here is why: The Spanish sentence is correctly translated into Polish, be... | (Śmiech) Zamroziłem wiązkę wskaźnika laserowego. (Śmiech) | 8 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
-0.44418901205062866,
1.0199311971664429,
-0.34833744168281555,
-0.44979429244995117,
-0.34794479608535767,
-1.030919075012207,
1.2980196475982666,
-0.10310977697372437,
0.3108399510383606,
-0.6366913318634033,
-0.4493250548839569,
0.710439920425415,
-0.5099520683288574,
0.2636404633522033... |
This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Example: Fact: deep sea animals live deep in the ocean. Question: Frilled sharks and angler fish live ... | Solution: on a house rooftop | 5 | NIv2 | task1400_obqa_incorrect_answer_generation | fs_opt | [
-0.45752066373825073,
0.2571737766265869,
-0.7207736968994141,
-0.3085629940032959,
-0.7026208639144897,
-0.4825555682182312,
0.412558376789093,
0.04573269188404083,
-0.5836004018783569,
-0.20603758096694946,
-0.24895741045475006,
0.0653349980711937,
-1.3720006942749023,
-0.145730435848236... |
Detailed Instructions: You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answe... | house | 4 | NIv2 | task033_winogrande_answer_generation | fs_opt | [
0.235803484916687,
0.973027229309082,
-0.11897320300340652,
-0.39720964431762695,
0.12340948730707169,
-0.6972364783287048,
0.7264506220817566,
0.6265408992767334,
0.1598224639892578,
-0.29600369930267334,
-0.03347092121839523,
0.1496802121400833,
-0.04760848730802536,
0.24763897061347961,... |
Part 1. Definition
Compose a new way to ask the same question. The new question must be asking the exact same thing as the original question does. Without any other information, you should be able to tell that the original question and the new question are the same. Preserve bracketed phrases in your new question. You ... | Which Top Level Domain Registry has the status [Active despite attempts to terminate it]? | 7 | NIv2 | task402_grailqa_paraphrase_generation | fs_opt | [
0.44278812408447266,
-0.249375581741333,
-0.15750885009765625,
0.11697027087211609,
0.35623472929000854,
-0.8288054466247559,
-0.422998309135437,
0.40452098846435547,
0.022465765476226807,
-0.1461464762687683,
-0.12580586969852448,
0.691319465637207,
-0.6420896649360657,
0.5238739252090454... |
You will be given a definition of a task first, then some input of the task.
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alte... | Bob is able to buy breakfast because he cannot find his wallet. | 1 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.7060869336128235,
0.2173539102077484,
0.09904026985168457,
0.34823673963546753,
0.1283039152622223,
0.016743497923016548,
-0.13404974341392517,
0.8280232548713684,
-0.03382556512951851,
-0.4246464669704437,
-0.5172799825668335,
0.2825320065021515,
-0.09587416052818298,
-0.620939493179321... |
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: A outra pregunta que todo o mundo fai é: que causa o autismo?
Student: | La siguiente pregunta que todos nos hacemos es ¿qué causa el autismo? | 6 | NIv2 | task1240_ted_translation_gl_es | zs_opt | [
-0.12901973724365234,
0.7808459997177124,
-0.13528227806091309,
-0.9160677194595337,
-0.28339269757270813,
-0.7765376567840576,
-0.9750193953514099,
1.0766081809997559,
-0.03592295199632645,
-0.3452983498573303,
-0.30365610122680664,
0.07170556485652924,
-0.5821160674095154,
-0.00874084234... |
Teacher:You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given optio... | Option E | 6 | NIv2 | task750_aqua_multiple_choice_answering | zs_opt | [
0.36342477798461914,
0.43346190452575684,
-0.6984503269195557,
-0.5017209649085999,
-0.37628471851348877,
-0.37418854236602783,
0.45195889472961426,
0.5699131488800049,
-0.47899317741394043,
0.07188668847084045,
-0.5595771074295044,
0.2979861795902252,
-0.5193613767623901,
-0.4890174567699... |
Teacher:Given a premise and two alternatives, choose the alternative that is a more plausible cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Teacher: Now, understand the problem? So... | 1 | 6 | NIv2 | task827_copa_commonsense_reasoning | zs_opt | [
-0.4337737560272217,
0.536255955696106,
0.06315544247627258,
-0.23030796647071838,
-0.25375115871429443,
0.7180038690567017,
0.7743302583694458,
0.4498201012611389,
0.627434492111206,
-0.02898000180721283,
-0.4356590509414673,
-0.43924635648727417,
-0.6297975778579712,
0.004039671272039413... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Context: Route 72 is... | connecticut | 1 | NIv2 | task1296_wiki_hop_question_answering | zs_opt | [
0.5673002600669861,
0.36395546793937683,
0.0689176619052887,
-0.2823309898376465,
-0.03259715065360069,
-0.4398929476737976,
-0.4993424415588379,
0.5986738801002502,
-0.6012489795684814,
0.016795963048934937,
0.5592532753944397,
-0.2484358251094818,
0.1701383739709854,
-0.06133217364549637... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
One example is below.
Q: Katrina gave Christine a stuffed animal for their birthday, but _ already had this one. (A) Katrina (B) Christine
A: B
Rationale:... | A | 9 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
0.3108879327774048,
0.4104856252670288,
-0.36170724034309387,
-0.4484630227088928,
-0.2810051441192627,
-0.7837798595428467,
0.7772054672241211,
0.7181026935577393,
0.07880331575870514,
0.09709767997264862,
0.48528385162353516,
0.6515932083129883,
0.18084532022476196,
-0.03436464071273804,... |
TASK DEFINITION: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
PROBLEM: Crianças que estamos a perder para casamentos forçados, violência e abuso.
SOLUTION: Kids we are losing to forced marriages, to honor-based violence and abuse.
PROBLEM: A primeira versão fo... | There were broken shacks all around.
| 8 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
0.5702412128448486,
0.8254023790359497,
0.010425600223243237,
-0.8091605305671692,
-0.2038668990135193,
0.4900135397911072,
0.9407946467399597,
0.2040407508611679,
0.2874911427497864,
-0.09601050615310669,
-0.3988533616065979,
0.5609997510910034,
-0.9259108304977417,
0.33246272802352905,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given two sets, and you need to count the number of elements at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like ... | 0 | 0 | NIv2 | task243_count_elements_in_set_intersection | fs_opt | [
0.6463031768798828,
0.31724971532821655,
-0.779803991317749,
0.06780197471380234,
0.022492922842502594,
-0.17842994630336761,
0.3052304983139038,
0.21774819493293762,
-0.2832263112068176,
-0.3346371352672577,
-0.863061785697937,
-0.1793564260005951,
0.3033715486526489,
-0.21221351623535156... |
Given the task definition and input, reply with output. This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may invo... | ¿Cuándo fue detenida Spiridónova junto con otros miembros del PSRI? | 5 | NIv2 | task1335_sqac_question_generation | zs_opt | [
0.5878537893295288,
0.2875988185405731,
-0.5706286430358887,
-0.007844880223274231,
-0.6819442510604858,
0.3324980139732361,
0.2294691503047943,
1.1977365016937256,
0.7804244756698608,
-0.192577064037323,
-0.9629336595535278,
0.46672818064689636,
-0.6556854248046875,
0.09353780001401901,
... |
Teacher:You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Teacher: Now, understand the problem? Solve this instance: つまりノーベル賞受賞者のトーマス・シェリングが提唱した「奇襲攻撃の相互的恐怖」に陥ってしまう可能性があるのです隣国が攻め込んでくるのか否かこんなことは誰も知りえませんそこで覚悟を決めて先制攻撃に出るのです
Student: | So nations may live under the threat of what Nobel Prize winner Thomas Schelling called the "" reciprocal fear of surprise attack, "" as I don't know if my neighbor is about to attack me or not — I may never know — so I might take the upper hand and attack first. | 6 | NIv2 | task1222_ted_translation_ja_en | zs_opt | [
-0.2685137689113617,
0.27033424377441406,
0.7805798053741455,
-0.6467030048370361,
0.06041133031249046,
-1.4682862758636475,
0.18173402547836304,
0.21397869288921356,
-0.14112137258052826,
-0.5783674716949463,
-0.4294982850551605,
0.12777584791183472,
-1.0612926483154297,
-1.07937765121459... |
This task is about translating a given English language sentence to Spanish.
Q: We're not measuring how much area we're taking up.
A: | No estamos midiendo el area que estamos ocupando. | 4 | NIv2 | task1691_qed_amara_translation | zs_opt | [
-0.47658658027648926,
1.5170564651489258,
-0.06029616668820381,
-0.952080249786377,
-0.7029463648796082,
-1.3855232000350952,
-0.37910157442092896,
0.692284345626831,
0.5087583065032959,
-0.32347792387008667,
0.21022209525108337,
0.38208597898483276,
-0.5227249264717102,
-0.254327893257141... |
Instructions: In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Input: English: As I have said all the Northern Ireland parties are united on this issue and those responsible for ... | No | 3 | NIv2 | task532_europarl_en-es_classification | zs_opt | [
-0.18042927980422974,
0.29837995767593384,
-0.01677892915904522,
-0.37262511253356934,
-0.4101393222808838,
-1.207638144493103,
1.0434401035308838,
0.645275890827179,
-0.012462311424314976,
0.13922423124313354,
0.17506209015846252,
-0.1819019466638565,
-0.8979901671409607,
-0.1669113785028... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
(خنده) امبر ، با قيافه شبیه هايدى (شخصیت داستانی معروف) هميشه میخواست در پیاده نظام كار كند ، و و قتى فهميد كه زنها نمى توانند آنجا کار کنند ، تصميم گرفت يك افسر سازمان جاسوسى شود.
A: | (Risas) Amber, parecida a Heidi, que siempre quiso estar en infantería, y cuando averiguó que las mujeres no podían entrar decidió ser oficial de inteligencia. | 7 | NIv2 | task1267_ted_translation_fa_es | zs_opt | [
-0.940470814704895,
0.5404634475708008,
-0.09366516768932343,
-0.3759678602218628,
-0.6973339319229126,
-0.5810095071792603,
0.5260928273200989,
0.39140230417251587,
1.2526683807373047,
-0.15689367055892944,
-0.8050855398178101,
0.12759742140769958,
-0.559730052947998,
0.5511443018913269,
... |
Instructions: In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
Input: Earth is a similar material as (A) Mars (B) Jupiter (C) Neptune (D) the sun
Output: | A | 3 | NIv2 | task1286_openbookqa_question_answering | zs_opt | [
-0.07495400309562683,
0.8359290957450867,
-0.9074039459228516,
0.2181067168712616,
-0.8234506845474243,
-0.8575387001037598,
0.606813907623291,
0.428120493888855,
-0.19434219598770142,
0.11644195020198822,
-0.5721156001091003,
0.054431937634944916,
0.4191383719444275,
-0.4124026894569397,
... |
Detailed Instructions: You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Problem:Paragraph: In erosion, the higher the elevation, the farther the stream is from where it will reach base level and the more cutti... | low | 8 | NIv2 | task1731_quartz_question_answering | zs_opt | [
-0.11075329780578613,
0.3152730464935303,
-0.054064374417066574,
0.297523558139801,
-0.02630649507045746,
-0.8962076902389526,
0.3089919686317444,
0.9975032806396484,
-0.16612716019153595,
0.20244552195072174,
-0.21936891973018646,
-1.1246713399887085,
-0.5397210121154785,
0.09031809121370... |
Teacher:In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
Teacher: Now, understand the problem? Solve this instance: SECTION 1. SHORT TITLE.
This Act may be cited as the ``Border Law Enforcement Enhancement
Act''.
SEC. 2. FINDINGS.... | Border Law Enforcement Enhancement Act - Authorizes the Secretary of Homeland Security to make grants to sheriff's offices and local and tribal police departments in jurisdictions within 25 miles of the U.S. southern border for: (1) law enforcement operations; (2) detention (including construction and operation of dete... | 6 | NIv2 | task1658_billsum_summarization | zs_opt | [
0.45429548621177673,
0.3236593008041382,
-0.3828667402267456,
-0.07756347209215164,
0.45694318413734436,
-0.1690242737531662,
0.42049482464790344,
1.2104737758636475,
-0.4771057367324829,
0.05626367777585983,
-0.6172685623168945,
0.7402260303497314,
-0.5971808433532715,
0.2731451690196991,... |
In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Let me mention the latest examples we have seen: Holzmann, a company which receives considerable aid from the ... | En este punto puedo mencionar los últimos ejemplos de los que hemos sido testigos: Holzmann, una empresa que recibe considerables ayudas del gobierno alemán, serrerías en la antigua Alemania Oriental y especialmente las ayudas a los astilleros. | 0 | NIv2 | task530_europarl_en_es_translation | zs_opt | [
-0.49070465564727783,
1.0702394247055054,
0.1167740672826767,
-0.8496092557907104,
-0.033129267394542694,
-0.335308700799942,
0.9466404318809509,
0.9351905584335327,
-0.3524760901927948,
-0.5165854692459106,
-0.5669972896575928,
-0.036161135882139206,
-0.1875782012939453,
0.100544288754463... |
Teacher:In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
Teacher: No... | [-16, 62, 97, 17, 85, 96, 99, 41] | 6 | NIv2 | task207_max_element_lists | zs_opt | [
-0.18544414639472961,
-0.10698166489601135,
-0.8654069900512695,
-0.13570281863212585,
0.01403301302343607,
0.6728248596191406,
0.802192747592926,
0.6558402180671692,
0.04922724515199661,
-0.24547328054904938,
-0.37405234575271606,
0.07427723705768585,
-0.28798428177833557,
-0.219304949045... |
TASK DEFINITION: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pro... | Man having conversation with his wife while folding clothes.
| 8 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
-0.2911023795604706,
0.5901957750320435,
-0.430217981338501,
-0.6994791626930237,
-0.10895264148712158,
0.04955814406275749,
0.4434143900871277,
0.4371609687805176,
0.15785685181617737,
-0.2904762625694275,
-0.5548155903816223,
-0.5811895132064819,
-0.09581500291824341,
0.31909385323524475... |
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting ... | 5797177696557417196359749935458 | 3 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
-0.13421928882598877,
0.18425658345222473,
-0.4246821701526642,
-0.515933096408844,
0.028646577149629593,
-0.17586225271224976,
0.4124941825866699,
0.0936855673789978,
-0.475455105304718,
0.06071752309799194,
-1.361130952835083,
0.10698561370372772,
0.19742780923843384,
-0.5156480073928833... |
instruction:
Rewrite each original sentence in order to make it easier to understand by non-native speakers of English. You can do so by replacing complex words with simpler synonyms (i.e. paraphrasing), deleting unimportant information (i.e. compression), and/or splitting a long complex sentence into several simpler o... | Soy milk is a drink made from soybeans. It is sometimes referred to as soy drink / beverage. It is also called soya milk, soybean milk, or soy juice.
| 9 | NIv2 | task111_asset_sentence_simplification | fs_opt | [
-0.3610522449016571,
1.0127885341644287,
0.17385806143283844,
-0.21837684512138367,
-0.4603312015533447,
-0.9019547700881958,
0.6992533802986145,
0.7091236710548401,
-0.0043287137523293495,
0.20047974586486816,
-0.16737553477287292,
-0.06499800086021423,
-0.9208146333694458,
0.150238648056... |
Detailed Instructions: The task is reading a paragraph containing numbers as digits. The digits can be used to represent Quantity, Dates and Time, Addresses or Positions. Convert the digits into their text equivalents. If a number has a prefix, postfix or punctuation preserve it in the text equivalent. 100000 is transl... | Agent Lawson's advance planning called for the deployment of almost six hundred members of the Dallas Police Department, | 8 | NIv2 | task1703_ljspeech_textmodification | zs_opt | [
-0.06015598028898239,
0.31482261419296265,
0.24343134462833405,
0.11501889675855637,
-0.5153912901878357,
-0.4216638207435608,
0.719482421875,
0.3604525327682495,
0.7966879606246948,
0.4266607165336609,
-0.4309399724006653,
0.06427797675132751,
-0.45376595854759216,
-0.5503506064414978,
... |
Detailed Instructions: In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
... | [598, 4, 118] | 4 | NIv2 | task206_collatz_conjecture | fs_opt | [
-0.3785260319709778,
0.6005292534828186,
-0.4555371403694153,
-0.5708213448524475,
-0.15488559007644653,
-0.6029572486877441,
1.2262580394744873,
0.4419092535972595,
-0.12378787994384766,
0.2675037384033203,
-0.6619290709495544,
-0.29217687249183655,
-0.6923673152923584,
-0.213142365217208... |
Definition: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Input: Person1: Hi , Mary , I didn't see you at work t... | 0 | 2 | NIv2 | task1536_daily_dialog_happiness_classification | zs_opt | [
0.43291330337524414,
-0.10504496097564697,
-0.1182442307472229,
-0.2255178689956665,
0.33058470487594604,
0.0013101287186145782,
0.7468169927597046,
0.06084064394235611,
0.35692620277404785,
-0.2501413822174072,
-0.5347840189933777,
-0.6847033500671387,
0.14486587047576904,
-0.130925416946... |
Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Example input: Which writer rode Devon Loch in the 1956 Grand National?
Example output: dick francis
Example explanation: The answer is precise and accurately answers ... | satyr | 3 | NIv2 | task898_freebase_qa_answer_generation | fs_opt | [
0.2352888286113739,
0.3453752398490906,
0.18377546966075897,
-0.3778546154499054,
-0.5295665264129639,
-0.6129714846611023,
1.0541448593139648,
-0.4652704894542694,
0.15541291236877441,
-0.6193407773971558,
-0.8249308466911316,
0.669119119644165,
-0.9089410305023193,
0.2181187868118286,
... |
You will be given a definition of a task first, then some input of the task.
Compose a new way to ask the same question. The new question must be asking the exact same thing as the original question does. Without any other information, you should be able to tell that the original question and the new question are the s... | [MacBook Parts] is produced by which computer manufacturer? | 1 | NIv2 | task402_grailqa_paraphrase_generation | zs_opt | [
0.8675228357315063,
0.2870834469795227,
-0.6479543447494507,
0.3091539740562439,
0.2222805619239807,
0.4225814938545227,
0.5005366802215576,
0.8210539221763611,
0.23863154649734497,
-0.26665639877319336,
-0.13184283673763275,
0.01567693240940571,
-0.5579803586006165,
0.27365556359291077,
... |
In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Sentence 1: Regulating or conforming a... | neutral | 0 | NIv2 | task1554_scitail_classification | zs_opt | [
-0.30370286107063293,
0.5107182860374451,
0.16258852183818817,
0.4568917453289032,
-0.39594900608062744,
-0.9053647518157959,
-0.7349190711975098,
0.6387898921966553,
-0.30424171686172485,
0.1049669161438942,
-1.0383408069610596,
-0.312744140625,
-0.07359475642442703,
-0.6400546431541443,
... |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
لقد عاملني الطاقم معاملة حسنة ، و قد حظيت بربان ثرثار و ظريف ، كنت لأكون سعيدة لو سجلت لخمسة أسابيع أخرى ، وهذا أمر قال عنه ربان السفينة أيضا أنني كنت مجنونة عندما فكرت فيه.
A: | Fui bem tratada pela tripulação, tive um capitão tagarela e divertido, e ter-me-ia alegremente inscrito para mais cinco semanas, algo sobre o que o capitão também disse que eu estava louca. | 7 | NIv2 | task1109_ted_translation_ar_pt | zs_opt | [
-0.6317754983901978,
0.4798985719680786,
-0.9394353628158569,
-0.997077226638794,
-0.606195330619812,
-1.0838937759399414,
-0.6147539019584656,
0.47580790519714355,
0.8711502552032471,
-0.032329827547073364,
-0.2151767909526825,
-0.231901153922081,
-0.5609070062637329,
0.011001531966030598... |
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'T... | Text one
| 0 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
-0.2860438823699951,
-0.11384055018424988,
0.07188066095113754,
0.05099998787045479,
0.28030097484588623,
-0.022094696760177612,
0.36733344197273254,
1.1744579076766968,
-0.04678206518292427,
0.12169979512691498,
-0.1699242889881134,
0.04704444482922554,
-0.4464835822582245,
-0.32116413116... |
Instructions: In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? ... | True | 3 | NIv2 | task1164_coda19_section_correction_classification | zs_opt | [
-0.3941471576690674,
0.449926495552063,
-0.5316899418830872,
-0.4934956133365631,
0.2754242420196533,
-0.4175761342048645,
0.7412208318710327,
0.7380784749984741,
0.002531143371015787,
-0.2116239219903946,
-0.8328826427459717,
-0.34952080249786377,
-0.041505325585603714,
0.1294604688882827... |
Instructions: This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a single object. The input is a sentence and th... | Ohio State | 3 | NIv2 | task1413_dart_object_identification | zs_opt | [
-0.6010410785675049,
0.38783591985702515,
-0.2671632170677185,
0.17500770092010498,
-0.1608225703239441,
-0.584611713886261,
0.5631443858146667,
0.7292167544364929,
0.28006210923194885,
-0.009077494032680988,
-0.7752885818481445,
-0.5401667356491089,
0.3734879791736603,
-0.1621172726154327... |
In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
Bulgarian: - Report: Cristian Dumitrescu, English: 3. | no | 0 | NIv2 | task273_europarl_classification | zs_opt | [
-0.4411739408969879,
0.3569653630256653,
0.6184530258178711,
-0.044995762407779694,
0.30907952785491943,
-0.6147921085357666,
0.48727524280548096,
-0.08875709027051926,
0.865032434463501,
-0.05505784973502159,
-0.09198083728551865,
0.726340115070343,
-0.5656250715255737,
0.3187854290008545... |
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that defin... | eq { min { filter_eq { all_rows ; location ; fleetcenter } ; date } ; fri mar 1 } | 8 | NIv2 | task210_logic2text_structured_text_generation | fs_opt | [
0.5115044116973877,
-0.09797809273004532,
-0.3727618455886841,
0.5414179563522339,
0.2996178865432739,
-0.4992687702178955,
0.23602476716041565,
0.29267004132270813,
0.06958968192338943,
-0.15141889452934265,
-0.43961894512176514,
0.2434750199317932,
-0.22533658146858215,
0.294416129589080... |
Detailed Instructions: In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in ... | #1 return flights
#2 return #1 serviced by american airlines | 4 | NIv2 | task176_break_decompose_questions | fs_opt | [
1.1361379623413086,
-0.17250889539718628,
-0.626492977142334,
0.3856108784675598,
0.5517074465751648,
-0.3827327489852905,
1.3228352069854736,
0.30692267417907715,
-0.7247850894927979,
0.28735023736953735,
-0.38746219873428345,
0.08378766477108002,
0.08821596205234528,
0.621547281742096,
... |
instruction:
This task is about translating a given Spanish language sentence to English.
question:
Y eso es el vector de aceleración en función de t pero les importa al tiempo t es igual a 3.
answer:
And so that is the acceleration vector as a function of t but they care at time t is equal to 3.
question:
Sus manos ... | And we have access to the Earth's history.
| 9 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.32672634720802307,
0.6262907981872559,
0.2241697609424591,
-0.1561269313097,
-0.04744928330183029,
-0.6554874777793884,
0.3100850582122803,
1.0715856552124023,
0.14776846766471863,
-0.2250450998544693,
0.11800317466259003,
0.6027284860610962,
-0.06835240125656128,
-0.08254113048315048,
... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': D... | JJ | 3 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.2104024887084961,
0.33400869369506836,
-0.2025241255760193,
0.37920382618904114,
-0.06908192485570908,
-0.6169747114181519,
0.6566771268844604,
1.0338810682296753,
-0.7036207914352417,
-0.1648155003786087,
-0.14265981316566467,
0.25969401001930237,
-0.22855022549629211,
0.152241080999374... |
Detailed Instructions: Given a text, write a compressed version of it in a single sentence.
See one example below:
Problem: Except for this small vocal minority, we have just not gotten a lot of groundswell against this from members, " says APA president Philip G. Zimbardo of Stanford University.
Solution: "Except for ... | The maps selected for representation yield information. Some are clear variants, others different lexical entities. Map 34 is an example of that. | 4 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-0.5066648721694946,
0.3735761344432831,
0.11542287468910217,
-0.20591697096824646,
-0.2196630835533142,
-1.6807856559753418,
0.6545800566673279,
-0.04655425250530243,
-0.1450783908367157,
0.38970494270324707,
-0.4114264249801636,
0.16733908653259277,
-0.5645480751991272,
-0.08828610926866... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
See one example below:
Problem: 第一にキリバス共和国が彼ら自身の利益になると理解したからです
Solution: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Explanation: The Japanese... | And at the same time, the gorgeous work of Takeshi Ishiguro, who did these beautiful salt-and-pepper containers that are made of rice dough. | 4 | NIv2 | task1222_ted_translation_ja_en | fs_opt | [
0.9600610733032227,
0.39574891328811646,
-0.4757828414440155,
-0.42411214113235474,
-0.5335743427276611,
-1.0907185077667236,
0.23755934834480286,
-0.05249673128128052,
0.1304691731929779,
-0.09958037734031677,
-0.20353171229362488,
0.4683356285095215,
-0.551689088344574,
0.438791126012802... |
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 will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in... | spain | 0 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
-0.3377224802970886,
1.3260427713394165,
-0.19100236892700195,
-0.027464155107736588,
0.4067618250846863,
-0.32200974225997925,
0.4892348647117615,
0.6848121881484985,
0.301177978515625,
0.11361536383628845,
-0.11924373358488083,
0.06595369428396225,
-0.04784581810235977,
-0.00384946539998... |
Instructions: This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following typ... | 15. | 3 | NIv2 | task028_drop_answer_generation | zs_opt | [
0.5360071659088135,
0.18787139654159546,
-0.8608076572418213,
-0.09074429422616959,
0.22581994533538818,
0.2108587920665741,
0.4743918776512146,
0.20995217561721802,
-0.6820696592330933,
0.18158608675003052,
-0.014706745743751526,
0.43047991394996643,
-0.7665708065032959,
0.398061841726303... |
Teacher:In this task, you are given a hateful post in English from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
Teacher: Now, understand the problem?... | Generic | 6 | NIv2 | task337_hateeval_classification_individual_en | zs_opt | [
-0.7958908081054688,
-0.13450181484222412,
0.7079592943191528,
0.20356719195842743,
0.20353689789772034,
-0.5758556127548218,
0.3327525854110718,
0.7595744132995605,
-0.29652655124664307,
0.673268735408783,
0.2746047377586365,
-0.43276071548461914,
-0.2032298594713211,
-0.5577163696289062,... |
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
เขาได้สารภาพว่าเขาได้ให้ที่พักผู้ก่อเหตุ 7 คน ก่อนจะมีการโจมตี และให้อาวุธหลายชิ้นกับกลุ่มคนดังกล่าว | 彼は冷静に、彼が攻撃の前に七名の攻撃者に宿を供給し、いくつかの武器を提供したと、明確にした。 | 0 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
0.20728567242622375,
0.3759063482284546,
-0.23982343077659607,
-0.10395469516515732,
0.012907084077596664,
-0.74101722240448,
1.050972580909729,
0.7694728970527649,
-0.04965586215257645,
-0.23505482077598572,
-0.19482649862766266,
0.8212398886680603,
-1.5435785055160522,
0.8886474370956421... |
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expre... | Quantity | 4 | NIv2 | task1289_trec_classification | zs_opt | [
0.17820942401885986,
-0.2766955494880676,
0.28626886010169983,
-0.06151770055294037,
-0.2831033170223236,
-0.33748745918273926,
-0.06066897511482239,
-0.10823982954025269,
-0.3183766007423401,
-0.4228723645210266,
-0.7708538174629211,
-0.620019793510437,
-0.5360450744628906,
0.268479913473... |
TASK DEFINITION: In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
P... | B
| 8 | NIv2 | task385_socialiqa_incorrect_answer_generation | fs_opt | [
0.13623008131980896,
0.47131818532943726,
0.07498376071453094,
-0.12344159185886383,
0.25818687677383423,
-0.18594098091125488,
0.8309756517410278,
0.7204499244689941,
-0.6376229524612427,
-0.00472886860370636,
-0.058245640248060226,
-0.05261245369911194,
-0.16110403835773468,
-0.208716154... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are to Translate German text to English
Das Textilband (1) ist insbesondere als (Kreuz-) Band-, Ligament- oder Sehnenersatz einzusetzen.
Solution: The textile band (1) is used part... | Up to now, the transmission power has been regulated exclusively by varying the amplification of the power amplifier (20). | 0 | NIv2 | task841_para_pdt_de_en_translation | fs_opt | [
-0.3778693675994873,
0.6418851613998413,
-0.9054715633392334,
0.262235552072525,
0.28757932782173157,
-0.404416024684906,
0.5717037916183472,
0.5521292090415955,
-0.09540560841560364,
0.2103399932384491,
-0.5910058617591858,
0.03572693467140198,
-0.5277723073959351,
0.10827761888504028,
... |
Detailed Instructions: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that... | run right and jump twice | 8 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.005957502871751785,
0.9880480170249939,
-0.4481510519981384,
0.00991392508149147,
-0.30806058645248413,
0.522426426410675,
0.21183186769485474,
0.49660637974739075,
-0.3974393308162689,
-0.44097644090652466,
-0.9486233592033386,
-0.35708189010620117,
-0.8918585777282715,
-0.0030187442898... |
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Ex Input:
Urgent safety guidance for wagons carrying dangerous goods has been issued af... | 'Thai bride' body found on Yorkshire Dales in 2004 identified
| 1 | NIv2 | task1358_xlsum_title_generation | fs_opt | [
0.01773638278245926,
0.8265683054924011,
-0.3179134130477905,
-0.4590517282485962,
-0.5093716382980347,
-0.5997327566146851,
0.2782779037952423,
0.2071349024772644,
-0.44103795289993286,
-0.07112125307321548,
-0.035845257341861725,
0.40968388319015503,
-0.34698399901390076,
0.1032952368259... |
instruction:
In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
question:
Problem: if the cost price of 50 articles is equal to the selling price of 20 articles , then the gain or loss... | b
| 9 | NIv2 | task1419_mathqa_gain | fs_opt | [
0.35036933422088623,
0.026302922517061234,
-0.6185896396636963,
0.24485793709754944,
-0.1464248150587082,
-0.1331668496131897,
1.478137731552124,
0.8988688588142395,
-0.03021184541285038,
0.27322107553482056,
-0.6220818758010864,
0.33573484420776367,
-0.8031308054924011,
-0.154734015464782... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | A kid is eating with no hands.
****
| 4 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
-0.2641754448413849,
0.8686022758483887,
0.033645354211330414,
-0.6216816306114197,
-0.41053125262260437,
-0.36485326290130615,
0.2667669653892517,
0.6481696367263794,
0.6232916116714478,
-0.6383776664733887,
-0.7896209955215454,
-0.398216187953949,
-0.9932079315185547,
-0.0596923828125,
... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentences must b... | Sentence 1: James had to scoop to much spoonful of the condiment to fill up the jar. The _ is quite small.
Answer1: spoon.
Sentence 2: James had to scoop to much spoonful of the condiment to fill up the jar. The _ is quite large.
Answer2: jar.
| 3 | NIv2 | task029_winogrande_full_object | fs_opt | [
0.4296826422214508,
0.4332813322544098,
-0.16726140677928925,
-0.2048243284225464,
0.8454678654670715,
-0.6844526529312134,
0.5116013884544373,
1.1800918579101562,
-0.7128896713256836,
-0.2923174500465393,
-0.385858952999115,
-0.0679861530661583,
-0.5867857336997986,
-0.13598549365997314,
... |
Given the task definition and input, reply with output. In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is... | yes | 5 | NIv2 | task242_tweetqa_classification | zs_opt | [
-0.3749142587184906,
0.14542736113071442,
-0.19622842967510223,
0.9136255979537964,
0.09323281794786453,
0.15103670954704285,
-0.38293567299842834,
-0.1427043378353119,
0.29008132219314575,
-0.14859840273857117,
-0.5452820062637329,
-0.25088346004486084,
0.13701610267162323,
0.137556359171... |
Definition: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ha... | No | 2 | NIv2 | task1207_atomic_classification_atlocation | zs_opt | [
0.18535155057907104,
0.22151130437850952,
0.22951743006706238,
-0.20000195503234863,
-0.3461533784866333,
-0.6133668422698975,
1.017942190170288,
0.13703706860542297,
-0.2175958752632141,
-0.5610518455505371,
-0.5207093954086304,
-0.466294527053833,
-0.7254208326339722,
0.5159412622451782,... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.