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
Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it. -------- Question: rounded Answer: angular Question: nonintegrated Answer: integrated Question: noninvasive Answer:
invasive
7
NIv2
task1508_wordnet_antonyms
fs_opt
[ 0.29543524980545044, 1.3814022541046143, 0.7576732635498047, -0.16636943817138672, -0.08668158948421478, -1.1444673538208008, -0.5902140140533447, 0.6687784194946289, 0.24131587147712708, -0.24244675040245056, -0.7095921039581299, -0.49135205149650574, -1.340142846107483, -0.12916091084480...
A text is given in Bengali. Translate it from the Bengali language to the Hindi language. The translation must not omit or add information to the original sentence. -------- Question: लोग देश की इन आंतरिक बुराइयों से भ्रष्टाचार से, कालेधन से परेशान हो चुका है। Answer: সেজন্য তাঁরা যত শীঘ্র সম্ভব সকল কুসংস্কার, দুর্নীত...
প্রত্যেকটি রাজ্যের কর্মীদের লঘু খনিজের ক্ষেত্রেও কাজে লাগানোর জন্য এই উপগ্রহভিত্তিক নজরদারি ব্যবস্হারের প্রশিক্ষণ দেওয়া হচ্ছে।
7
NIv2
task1010_pib_translation_hindi_bengali
fs_opt
[ 0.2925233244895935, 0.8565196990966797, -0.524023711681366, -0.5495272874832153, -0.0545562207698822, -0.3384251594543457, 0.6315963268280029, 0.4606535732746124, -0.11590170115232468, -0.00038919574581086636, -0.7836477756500244, -0.3394070267677307, -0.3704257309436798, -0.29650491476058...
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 The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ).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 determ...
Yes
1
NIv2
task1215_atomic_classification_capableof
fs_opt
[ 0.9226474761962891, 0.08518588542938232, 0.2766580581665039, 0.18201056122779846, -0.08447038382291794, -0.5119163393974304, 0.8646284341812134, 1.2461168766021729, -0.2917657494544983, -0.11311711370944977, -0.5381989479064941, -0.45485594868659973, -0.1425694078207016, 0.1586547493934631...
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...
yes
6
NIv2
task115_help_advice_classification
zs_opt
[ -0.2938491106033325, 0.4664798378944397, 0.39739152789115906, 0.09558156877756119, 0.13066262006759644, -1.2238355875015259, 0.6758675575256348, 0.9503623247146606, 0.07996761798858643, 0.046349577605724335, -0.12265288829803467, -0.7212787866592407, -0.6873083710670471, -0.642283976078033...
instruction: In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D". question: [header] How to include spanking in child discipline [title] Find a private ...
D
9
NIv2
task1389_hellaswag_completion
fs_opt
[ 0.19586172699928284, 0.2969083786010742, -0.5801341533660889, -0.23089800775051117, -0.09096480906009674, -0.2492368221282959, 1.4223724603652954, 1.0880882740020752, 0.2778008282184601, 0.08675176650285721, -0.21521949768066406, 0.6869744658470154, -0.16061359643936157, -0.414733588695526...
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese. [Q]: Na filmie widać wielki parasol i biały materac, zaokrąglone krawędzie basenu, i dwa drzewa na tle. [A]: Se olharem para o vídeo, há um grande guarda-sol, há um colchão branco na piscina, há umas bordas arredondadas in...
Cresci numa família extremamente tradicional.
5
NIv2
task1264_ted_translation_pl_pt
fs_opt
[ -0.07251486927270889, 0.890197217464447, -0.7303842306137085, -0.6298577189445496, -0.8863433599472046, -0.6034038662910461, 0.8924342393875122, 0.47303420305252075, -0.007230168674141169, -0.4977918565273285, 0.1688958704471588, 0.18379315733909607, -0.7144370675086975, 0.0690897181630134...
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Persian. See one example below: Problem: In the southwestern part of Nigeria, the plant is known as Gbe'borun. Solution: در جنوب غرب نیجریه ، این گیاه به عنوان Gbe 'borun شناخته می ‌ شود. Explanation: The Engl...
خط آبی پاسخ مردم را بطور متوسط به سوالهای مربوط به « آسیب » نشان می دهد. خط آبی پاسخ مردم را بطور متوسط به سوالهای مربوط به « آسیب » نشان می دهد.
4
NIv2
task1093_ted_translation_en_fa
fs_opt
[ -0.10255897045135498, 0.28932613134384155, -0.049625322222709656, -0.5717350244522095, -0.06233594939112663, -1.0800257921218872, 1.107574701309204, 0.41751793026924133, 0.09475840628147125, 0.5744878053665161, -1.144995927810669, 0.23984968662261963, -0.8349115252494812, 0.594520449638366...
You will be given a definition of a task first, then some input of the task. You are given a conversation between two people.'Person1:' and 'Person2:' are used to separate their respective dialogues. You have to classify if there exist more than 2 unique emotions in conversation. If there are more than 2 unique emotion...
1
1
NIv2
task1535_daily_dialog_uniqueness_classification
zs_opt
[ -0.3268339931964874, -0.03326701372861862, -0.3011704087257385, 0.1380034238100052, -0.1848352551460266, 0.683857798576355, 0.09589216113090515, 0.6453360915184021, -0.1402655690908432, -0.3143168091773987, -0.6146635413169861, -0.6143640279769897, 0.33412429690361023, 0.03177233040332794,...
Detailed Instructions: Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact. See one example below: Problem: English sentence: Roger Federer was the first player to win 20 Grand Slams Solution: Si Roger Federer ang unang manlalaro na nanalo...
Sa June 1941 sa German hukbo ipinasok Lvov at isang sistematikong pagpuksa ng mga Judio nagsimula. Prinsipe ibabalik sa Warsaw kung saan siya ang kalabasa, ilagay sa bilangguan at namatay sa pamamagitan ng mga gestapo (allegedly habang sinusubukang sa pagtakas mula sa bilangguan).
4
NIv2
task448_opus_paracrawl_en_tl_translation
fs_opt
[ 0.14139574766159058, 0.29008424282073975, -0.6566399335861206, 0.014397435821592808, 0.21802213788032532, -0.7979044914245605, 0.8504732847213745, 0.3458593487739563, 0.5906082391738892, 0.09056912362575531, 0.19159434735774994, 0.8595872521400452, -1.601811408996582, -0.017999060451984406...
Detailed Instructions: 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. Q: Although epirubicin, an anthracycline drug, is widely used to treat hepatoce...
0
9
NIv2
task848_pubmedqa_classification
zs_opt
[ 1.0145071744918823, -0.3994722068309784, -0.20893612504005432, 0.3812520503997803, 0.7661262154579163, -1.1149210929870605, 1.2521014213562012, 0.872037947177887, 0.10284264385700226, 0.6862223148345947, -1.3942893743515015, -0.11014424264431, -0.22196176648139954, 0.11523604393005371, -...
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second enti...
no
9
NIv2
task472_haspart_classification
fs_opt
[ -0.6834087371826172, 0.20048560202121735, 0.6586095094680786, 0.1019255667924881, -0.11421271413564682, -0.9476078152656555, 0.03471413254737854, 0.3412732481956482, 0.5883477926254272, -0.4681583046913147, -0.5079222917556763, 0.09704069793224335, -0.38904058933258057, 0.3892030715942383,...
You will be given a definition of a task first, then some input of the task. Given a paragraph about movies and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The...
Yes
1
NIv2
task1442_doqa_movies_isanswerable
zs_opt
[ -0.026293165981769562, 0.02346373349428177, -0.5596171617507935, 0.5023458003997803, -0.40670979022979736, -0.6109203100204468, 0.9005159139633179, 1.2360684871673584, -0.8849421739578247, -0.2776203453540802, -0.31285518407821655, 0.1790173053741455, -0.7360243797302246, 0.728255033493042...
Instructions: Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge. Input: Context : Helmut Fickel (27 November 1921 -- 6 April 2005) was a highly decorated Oberleutnant in the Luftwaffe during World...
Which is the date of death for Helmut Fickel?
3
NIv2
task1326_qa_zre_question_generation_from_answer
zs_opt
[ -0.056670352816581726, 0.4071035385131836, -0.29958704113960266, 0.3614468276500702, 0.16723772883415222, -1.4300994873046875, 0.7145854234695435, 0.3243783712387085, 0.3720141053199768, -0.011587845161557198, -0.5920124053955078, 0.8550622463226318, -1.6180334091186523, 0.4736019074916839...
In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list. Example input: ['8129', 'a', '4245', 'y', 'm', 'a'] Example out...
b, h, j, o, v
3
NIv2
task636_extract_and_sort_unique_alphabets_in_a_list
fs_opt
[ -0.24303576350212097, 0.2430795431137085, -0.060790956020355225, -0.567944347858429, 0.4912538528442383, -0.15640152990818024, 0.5880329608917236, -0.12276390194892883, -0.16715911030769348, 0.06384123116731644, -0.6367335319519043, -0.3167341947555542, 0.07182319462299347, -0.331060647964...
A text is given in Panjabi. Translate it from the Panjabi language to the Urdu language. The translation must not omit or add information to the original sentence. Example Input: ਇੰਡੀਅਨ ਇੰਸਟੀਟਿਊਟ ਆਵ੍ ਟੈਕਨੋਲੋਜੀ , ਦਿੱਲੀ, ਭਾਰਤ ਅਤੇ ਹੀਰੋਸ਼ੀਮਾ ਯੂਨੀਵਰਸਿਟੀ, ਜਪਾਨ ਦਰਮਿਆਨ ਅਕਾਦਮਿਕ ਅਤੇ ਵਿੱਦਿਅਕ ਵਟਾਂਦਰੇ ਬਾਰੇ ਸਹਿਮਤੀ ਮੈਮੋਰੰਡਮ (ਮਈ, 201...
آسان زندگی کا فریم ورک 4 اہم ستونوں، ادارہ جاتی، سماجی، اقتصادی اور طبیعی امور پر مشتمل ہے۔ اس کو مزید 15 زمروں اور 78 انڈیکیٹرس میں تقسیم کیا گیا ہے۔
3
NIv2
task1051_pib_translation_punjabi_urdu
fs_opt
[ -0.32246696949005127, 0.024633929133415222, -0.19808176159858704, -0.029255393892526627, -0.5159081220626831, -0.6958541870117188, 0.6005471348762512, 0.1811133623123169, -0.43704915046691895, 0.029748905450105667, -0.2869359850883484, 0.210443377494812, 0.05887356400489807, 0.189500480890...
Detailed Instructions: In this task, you will be presented with a question having multiple possible answers in Swahili language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge. See one example below: Problem: Question: Meja Tom alitaka kuhifadhi silah...
C
4
NIv2
task1144_xcsr_sw_commonsense_mc_classification
fs_opt
[ 0.03265102207660675, 1.086369276046753, 0.09972204267978668, -0.05692799389362335, -0.6195986866950989, -1.4060118198394775, 1.1085879802703857, 0.7366032004356384, 0.38299560546875, -0.26146119832992554, -0.4519747495651245, 0.5357394218444824, -0.2975841164588928, -0.3212117552757263, ...
Detailed Instructions: In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer. Q: Passage: In 1933, a child orphaned during the Ukrainian...
veterinarian.
9
NIv2
task002_quoref_answer_generation
zs_opt
[ 0.18716776371002197, -0.5434540510177612, -1.249370813369751, 0.3666519224643707, 0.304277628660202, 0.4157819151878357, 0.9298751950263977, 0.9593744277954102, 0.10786107182502747, -0.2369123101234436, -0.9026448726654053, 0.6378113031387329, -0.6858186721801758, 0.9227923154830933, 0.0...
You will be given a definition of a task first, then some input of the task. You are given a statement written in Malayalam. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option . Statement: ബേഡൻ ബേഡനിലെ കടുത്തവിശ്...
കത്തോലിക്ക
1
NIv2
task949_wiki_cloze_ml_multiple_choice_question_answering
zs_opt
[ 0.8510065078735352, 0.8406252861022949, -0.6286083459854126, 0.32527434825897217, 0.0730845034122467, -0.6469367742538452, 0.05784203112125397, 1.179730772972107, 0.6934446096420288, -0.24057741463184357, -0.6668805480003357, -0.14128842949867249, -0.03472713381052017, -0.7165213823318481,...
Given the task definition and input, reply with output. In this task, you are given an article. Your task is to summarize the article in a sentence. The collision was on the A923 Coupar Angus Road. The road has been closed in both directions between the Lochee roundabout and Dunsinane Industrial Estate.
Two lorries have crashed in Dundee, closing a major road in the city.
5
NIv2
task1290_xsum_summarization
zs_opt
[ -0.8197023272514343, 0.8421661257743835, 0.32051384449005127, -0.35259300470352173, -0.8807775974273682, -0.4102667570114136, -0.5007668733596802, -0.008386535570025444, 0.0869537964463234, 0.32138925790786743, 0.05341042950749397, 0.4043109118938446, 0.1629762053489685, -0.524173140525817...
Instructions: 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). Input: In the light of the above, will the Council reconsider the funding for the reconstruction ...
Teniendo en cuenta lo anterior, ¿se propone el Consejo reconsiderar la financiación destinada a la reconstrucción de Kosovo, tal como solicita el Parlamento Europeo?
3
NIv2
task530_europarl_en_es_translation
zs_opt
[ 0.08570094406604767, 1.144418478012085, 0.2635897994041443, 0.20120444893836975, 0.3506908416748047, -0.8288604021072388, 1.5330517292022705, 0.4337078928947449, -0.4870944321155548, 0.2574489414691925, 0.41769272089004517, 0.09754027426242828, -0.326447069644928, 0.42472249269485474, -0...
Instructions: Given a math word problem, answer the following question. You might need to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the question and then only report the final numerical answer. Input: at the top of the empire state building he saw the madison squ...
991
3
NIv2
task861_asdiv_addsub_question_answering
zs_opt
[ 0.7643086910247803, 0.6414402723312378, -0.016695521771907806, -1.164975881576538, 0.02272823266685009, -0.04842248558998108, 0.4860769808292389, -0.13445180654525757, 0.5742722749710083, -0.2331526279449463, -0.23951029777526855, 0.14781489968299866, -0.8996303677558899, 0.021884929388761...
Definition: In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally. Input: Text: tifu by telling my close friends that i had a crush on this girl w...
TIFU by not having trust issues
2
NIv2
task510_reddit_tifu_title_summarization
zs_opt
[ -0.48584118485450745, 0.5485795736312866, 0.31492725014686584, -0.6912051439285278, -0.07857666909694672, -0.22730959951877594, 0.8568617701530457, -0.15878605842590332, 0.2992006540298462, -0.023461125791072845, -0.24995648860931396, -0.25825536251068115, -0.9963476657867432, 0.1102392971...
Part 1. Definition In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and '...
C
7
NIv2
task580_socialiqa_answer_generation
fs_opt
[ 0.49993056058883667, 0.5327073335647583, 0.23860064148902893, -0.06842339038848877, 0.06961791217327118, -0.050158992409706116, 0.4414464235305786, 0.39492207765579224, 0.3117862939834595, 0.12675753235816956, -0.5624886155128479, 0.2575209140777588, 0.11642374098300934, -0.328249037265777...
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surpris...
No emotion,No emotion,No emotion,fear,No emotion,No emotion,happiness,happiness ****
4
NIv2
task1532_daily_dialog_emotion_classification
fs_opt
[ 0.4329097270965576, -0.005589601583778858, -0.010949893854558468, -0.46051642298698425, 0.39333969354629517, -0.8280518651008606, 0.612716794013977, 0.5423758625984192, -0.018063984811306, -0.002700463170185685, 0.011413021013140678, -0.3277081847190857, -0.2618216574192047, 0.108657538890...
Given the task definition, example input & output, solve the new input case. You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English. Example: מונטריי היא אחת מהם. Output: Monterey is one of those. The Hebrew sentence is correctly translated into English. `Montery` is correctly tra...
The robots track and they team play amongst themselves.
1
NIv2
task1234_ted_translation_he_en
fs_opt
[ -0.5717902779579163, 0.7147232890129089, 0.3378967344760895, 0.051693230867385864, -0.3031381368637085, -0.204254612326622, 0.2562461793422699, 0.2839108109474182, 0.8322434425354004, -0.473810076713562, -0.42425215244293213, 0.22698235511779785, -0.35189712047576904, -0.26526913046836853,...
Teacher: 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 ...
SIMILAR
2
NIv2
task1408_dart_similarity_classification
fs_opt
[ -0.1880428045988083, 0.4153602719306946, -0.012567173689603806, -0.6247806549072266, -0.6090877652168274, -0.6734354496002197, 0.9110274314880371, 0.14182528853416443, 0.0583479106426239, 0.6501179337501526, -0.9740703105926514, 0.5997344255447388, -0.71724534034729, 0.17772549390792847, ...
Teacher:In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length. Teacher: Now, understand the problem? Solve this instance: Typically not assisted by proofreading, the RNAdependen...
A unique intra-molecular fidelity-modulating mechanism identified in a viral RNA-dependent RNA polymerase
6
NIv2
task1161_coda19_title_generation
zs_opt
[ 0.28841468691825867, 0.1456960290670395, -0.2666679322719574, -0.00870382972061634, -0.37597888708114624, 0.023105572909116745, 1.173946738243103, 0.8131417036056519, 0.18644922971725464, 0.33748918771743774, 0.14639997482299805, 0.17247998714447021, -0.8669003248214722, 0.4515148997306824...
Part 1. Definition Given a part of privacy policy text, classify it into one of these categories: (1) First Party Collection/Use (how and why a service provider collects user information), (2) Third Party Sharing/Collection (how user information may be shared with or collected by third parties), (3) User Choice/C...
User Choice/Control
7
NIv2
task682_online_privacy_policy_text_classification
fs_opt
[ -0.7067984938621521, 0.17967769503593445, -0.7661584615707397, 0.44922202825546265, -0.032742202281951904, -0.794965922832489, 0.4803854823112488, 0.7237849831581116, 0.34908804297447205, 0.2896740436553955, 0.2574373185634613, 0.4438749849796295, -0.20527410507202148, -0.38969773054122925...
Teacher: In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'. Teacher: Now, understand the problem? If you are still confused, see the following example: (...
B
2
NIv2
task106_scruples_ethical_judgment
fs_opt
[ -0.37114304304122925, 0.1934853047132492, 0.6432831883430481, -0.09591279178857803, -0.3239895701408386, -0.5733542442321777, -0.21640455722808838, 0.5559729337692261, 0.23000572621822357, 0.31133848428726196, 0.135235995054245, -0.12232771515846252, 0.18825674057006836, -1.187192440032959...
Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician. Input: Ese es el registro. Output:
Iso é o rexistro.
3
NIv2
task1100_ted_translation_es_gl
zs_opt
[ -0.554703414440155, 1.2014949321746826, -0.3557880222797394, -0.6727882027626038, 0.16751918196678162, -0.8248764276504517, 0.17276573181152344, 1.242308259010315, 0.03720608726143837, -0.4351770281791687, -0.34975630044937134, 0.3159901201725006, -0.0837666317820549, 0.3006393313407898, ...
A text is given in Marathi. Translate it from the Marathi language to the Telugu language. The translation must not omit or add information to the original sentence. खेळाडूंनी तंत्रज्ञानाचा वापर करत स्वत:चे कठोर मूल्यमापन करत सुधारणा करत राहिले पाहिजे तसेच स्वत:बरोबरच जगातील उत्कृष्ट खेळाडूंच्या कामगिरीचे सातत्याने वि...
ఇటీవ‌లే ముగిసిన 18వ ఆసియా క్రీడ‌లలో ప‌త‌కాలను గెలుచుకొన్న వారి తో ప్ర‌ధాన మంత్రి శ్రీ న‌రేంద్ర మోదీ ఈ రోజు త‌న నివాసం లో భేటీ అయ్యారు.
0
NIv2
task1027_pib_translation_marathi_telugu
zs_opt
[ -0.6295958757400513, 0.41276517510414124, -0.973292350769043, 0.4339163899421692, 0.1515945941209793, -1.042456865310669, 0.5436534881591797, 0.22843238711357117, -0.015117120929062366, -0.48910653591156006, -0.1643272340297699, 0.24431216716766357, -1.0372053384780884, -0.0512735843658447...
Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true. Example:...
Solution: You are likely to recognise water in a rain cloud .
5
NIv2
task413_mickey_en_sentence_perturbation_generation
fs_opt
[ -0.021495690569281578, 0.48252925276756287, 0.06053005903959274, -0.31320104002952576, -0.053043775260448456, -1.039717435836792, 0.3564363121986389, 0.7801161408424377, 0.17260503768920898, -0.22712799906730652, -0.6517716646194458, -0.6056939363479614, -1.049116611480713, 0.2698653638362...
In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False". Q: Context: Taylor willed definitely to su...
True ****
4
NIv2
task384_socialiqa_question_classification
fs_opt
[ -0.3901599645614624, 0.18904584646224976, 0.19388605654239655, -0.2270141839981079, -0.007531843148171902, -0.2743901014328003, 0.44581830501556396, 1.054796576499939, 0.12930753827095032, 0.21711023151874542, -0.10440036654472351, -0.3536999821662903, -0.6648450493812561, 0.11648630350828...
Part 1. Definition You are given a sentence in Persian. Your job is to translate the Farsi sentence into English. Part 2. Example در جنوب غرب نیجریه ، این گیاه به عنوان Gbe'borun شناخته می ‌ شود. Answer: In the southwestern part of Nigeria, the plant is known as Gbe'borun. Explanation: The Farsi sentence is correctly t...
And then let's remember that we've been taught the exact opposite by the powers that be, that compassion clouds your thinking, that it gets in the way, that vulnerability is weakness, that emotions are not to be trusted, and you're not supposed to take things personally, which is one of my favorites.
7
NIv2
task1265_ted_translation_fa_en
fs_opt
[ -0.5259742736816406, 0.23224294185638428, -0.07790814340114594, -0.3646455407142639, 0.10186776518821716, -0.3688441216945648, 1.2835943698883057, -0.17999160289764404, 0.077520951628685, -0.01150881964713335, -1.036543846130371, -0.039404552429914474, -0.9701329469680786, 0.41566649079322...
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 will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ numb...
stopper
0
NIv2
task401_numeric_fused_head_reference
fs_opt
[ -0.5107485055923462, 0.08423252403736115, -0.5393143892288208, -0.12514230608940125, -0.21564511954784393, -0.35197317600250244, 0.4278993606567383, -0.1756787896156311, -0.2669261395931244, 0.16450470685958862, -0.5001980662345886, -0.21322467923164368, -0.1274445652961731, 0.089777663350...
Detailed Instructions: In this task, you are given a premise sentence. Your task is to write a new sentence by substituting the subject and object (i.e., the input's subject should be output's object and vice versa.). The generated sentence must be fluent and shouldn't change the voice (i.e., passive or active) of the ...
The doctors avoided the the authors .
9
NIv2
task1364_hans_answer_generation
zs_opt
[ -0.3907123804092407, 0.4394340515136719, 0.1929430067539215, -0.22191870212554932, 0.45877406001091003, -0.43361636996269226, 0.37510889768600464, 0.0331893116235733, 0.4160352349281311, -0.7126663327217102, -0.38580167293548584, 0.19862893223762512, -0.1800536811351776, -0.285499423742294...
Q: You are given a sentence in English. Your job is to translate the English sentence into Galician. And the 70 year-old ones, actually they're better at scouting out the good nesting places, and they also have more progeny every year. A:
E as de 70 anos, de feito son mellores para buscar lugares de anidamento, e tamén teñen máis descendencia cada ano.
7
NIv2
task1090_ted_translation_en_gl
zs_opt
[ -1.5079851150512695, 1.1432360410690308, -0.2457118034362793, -0.9945168495178223, -0.23785051703453064, -1.782885193824768, -0.510154128074646, 0.9591666460037231, 0.552068829536438, 0.2382294088602066, 0.008057359606027603, 0.5478769540786743, -1.5190913677215576, 1.2005696296691895, -...
Given the task definition and input, reply with output. In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output...
Answer: none
5
NIv2
task238_iirc_answer_from_passage_answer_generation
zs_opt
[ 0.17380373179912567, -0.22939929366111755, -0.7121320366859436, 0.8821561336517334, 0.5746399164199829, -0.21813718974590302, -0.25284212827682495, 0.5307464599609375, -0.08951011300086975, 0.45424458384513855, -0.04744352027773857, 0.08178222924470901, -0.4454595148563385, -0.135451525449...
Teacher:Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link]. Teacher: Now, understand the problem? Solve this instance: Verify if the sentiment of the following d...
yes
6
NIv2
task422_persent_sentence_sentiment_verification
zs_opt
[ -0.932682991027832, -0.6441699266433716, 0.167563334107399, 0.3320329785346985, -0.7184230089187622, -0.8734846115112305, 0.4062369465827942, 0.14468640089035034, -0.273828387260437, 0.09100835770368576, 0.27850937843322754, 0.08929163217544556, -0.0686999186873436, -0.397065669298172, 0...
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...
Yes
9
NIv2
task1199_atomic_classification_xattr
fs_opt
[ 0.08448538929224014, -0.10810843855142593, 0.5269073247909546, 0.029842559248209, -0.49975064396858215, -1.1411620378494263, 1.1247862577438354, 0.5862751603126526, -0.951941967010498, -0.1898709535598755, -0.4361521601676941, -0.5089143514633179, -0.9150660037994385, 0.1624421924352646, ...
Detailed Instructions: In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comm...
[36.5, 8.5, 7.5, 35.0, -9.5, -24.0, 8.5, 7.0, -23.0, 5.5]
8
NIv2
task124_conala_pair_averages
zs_opt
[ -0.44015955924987793, 0.07476115226745605, -0.6999810934066772, -0.5298851728439331, -0.20795688033103943, 0.31942903995513916, 0.8441810607910156, 0.5545235872268677, 0.1390373259782791, -0.051262762397527695, -0.4974788427352905, -0.44827520847320557, -0.10657361894845963, 0.376522809267...
A text is given in Hindi. Translate it from the Hindi language to the Telugu language. The translation must not omit or add information to the original sentence. -------- Question: आईएलआर पर विशेष समिति की स्थिति रिपोर्ट में इन तीन क्षेत्रों में हुई प्रगति की जानकारी दी गई है केन-बेटवा लिंक, दमनगंगा-पिंजल लिंक और पारा...
వాటిలో ఒకటోది, పెరిగిపోతున్న ముడి చ‌మురు ధ‌ర‌ల కార‌ణం గా చ‌మురు వినియోగదారు దేశాలు నిధుల పరంగా తీవ్ర కొర‌త సహా అనేక అన్య ఆర్థిక స‌వాళ్ళ‌ ను ఎదుర్కొంటున్నట్లు ఆయ‌న చెప్పారు.
7
NIv2
task1045_pib_translation_hindi_telugu
fs_opt
[ 0.27611708641052246, -0.10111178457736969, -0.5203049182891846, -0.4325774013996124, 0.38809531927108765, -0.7332879304885864, 1.1129567623138428, 0.4221515655517578, -0.7267202138900757, 0.24835769832134247, -0.2701243758201599, 0.4633373022079468, -0.8796626925468445, -0.1200826987624168...
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese. Q: תכנון כבישים הוא חשוב, בעיקר צמתים, מהם יש שני סוגים: מרומזרים ולא מרומזרים, כלומר עם תמרורי עצור. A:
道路特に交差点の設計が重要です 2種類の交差点があります信号機付きのものと ” 止まれ ” の標識です
4
NIv2
task1235_ted_translation_he_ja
zs_opt
[ -1.1027812957763672, 0.11044639348983765, 0.4296577572822571, 0.26964735984802246, -1.0306040048599243, 0.2256259322166443, 0.8931878209114075, -0.07385020703077316, 0.41767948865890503, -0.3744649291038513, -0.766294002532959, 0.0033079562708735466, -0.11233832687139511, -0.32436093688011...
You are given an original reference as well as a system reference. Your task is to judge the informativeness of the system reference. If the utterance provides all the useful information from the meaning representation output 1, else output 0. Q: System Reference: the phone number for red door cafe is 4152828283. Origi...
1
4
NIv2
task1284_hrngo_informativeness_classification
zs_opt
[ -0.8795912861824036, 0.9867136478424072, -0.8911551237106323, -0.026201486587524414, -0.9185272455215454, -0.44460994005203247, 1.1323933601379395, -0.06924102455377579, 0.13212063908576965, -0.3073784410953522, -0.5991524457931519, -0.5543588995933533, -0.10585387796163559, 0.478829890489...
In this task you will be given a list of strings and you need to concatenate them. [Q]: ['on', 'Z', 'l', 'be', 'b', 'our', 'z', 'past', 'G', 'souls.', 'S'] [A]: onZlbebourzpastGsouls.S [Q]: ['the', 'c', 'E', 'ocean,', 'k', 'profound', 'w', 'b', 'Y', 'is', 't'] [A]: thecEocean,kprofoundwbYist [Q]: ['her', 'y', 'm',...
herymamongbasZandfYthoughs
5
NIv2
task079_conala_concat_strings
fs_opt
[ 0.14768081903457642, 0.564117431640625, -0.23739811778068542, -0.5259880423545837, 0.23611195385456085, -0.9034498929977417, 1.298709750175476, -0.8126627206802368, -0.6264386773109436, 0.28963902592658997, -0.03200328350067139, -0.15175282955169678, -0.3079180121421814, -0.429943561553955...
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill. Example: Amends the Water Resources Development Act of 1999 to: (1) authorize appropriations for FY 1999 t...
Solution: To amend title 38, United States Code, to improve the outreach activities of the Department of Veterans Affairs, and for other purposes.
5
NIv2
task1659_title_generation
fs_opt
[ 0.017086029052734375, 0.177921861410141, -0.3319416046142578, -0.46525847911834717, 0.521943211555481, -0.5265423655509949, 0.7914984226226807, 0.940462589263916, 0.005465872585773468, 0.23164427280426025, 0.6721872091293335, 0.504859209060669, -0.44822391867637634, -0.04131097346544266, ...
In this task, you are given two strings A, B. Find the longest common substring in the strings A and B. Example: PPdQTlHHTJEe, DydQTlHHVnmlLu Example solution: dQTlHH Example explanation: Here, 'dQTlHH' is the longest common substring in both the input strings 'PPdQTlHHTJEe' and 'DydQTlHHVnmlLu'. Problem: iWIZgpihowlS...
Solution: IZgpiho
5
NIv2
task600_find_the_longest_common_substring_in_two_strings
fs_opt
[ -0.0055607277899980545, 1.211244821548462, -0.3119193911552429, -0.7629662752151489, -0.18059855699539185, -0.6090413928031921, 0.3576836585998535, -0.4492858052253723, 0.1575045883655548, -0.28132641315460205, -0.8361994624137878, -0.5991416573524475, -0.25041377544403076, 0.3081971406936...
You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must not be associat...
At the garage sale, the silverware sold for less than the baseball card set because the _ is run-of-the-mill.
0
NIv2
task031_winogrande_question_generation_object
fs_opt
[ 0.7706568241119385, 0.5384647846221924, 0.31420761346817017, 0.2668219208717346, 0.5794824957847595, -0.5907800197601318, 0.5427473783493042, 1.2397513389587402, -0.43200990557670593, -0.6809364557266235, -0.3564457297325134, 0.17135939002037048, -0.2042272388935089, 0.1020478904247284, ...
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic. Uświadomiło mi to, że nawet ludzie wychowani w mieście odczuwają naturalną więź z przyrodą i zwierzętami.
فيذكرني هذا أنه حتى من ترعرعوا في المدن يشعرون بتلك الصلة الطبيعية مع عالم الطبيعة والحيوانات.
0
NIv2
task1259_ted_translation_pl_ar
zs_opt
[ -1.0410339832305908, 0.9130511283874512, -0.2335250824689865, -1.2053709030151367, -0.38729098439216614, -0.38124099373817444, 1.0454821586608887, -0.3356534242630005, 0.5997388958930969, -0.35229721665382385, -0.3970285952091217, 0.22720403969287872, -1.5924067497253418, 0.151529520750045...
Instructions: In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user. Input: Wow! That's great information. Can you tell me any fun facts about Missouri? I am interested in learning about th...
Two historically black colleges are Lincoln University & Harris-Stowe State University, established in the mid-nineteenth century.
3
NIv2
task576_curiosity_dialogs_answer_generation
zs_opt
[ -0.019965603947639465, 0.14619068801403046, -0.12154754996299744, -0.42684346437454224, 0.11303514242172241, -0.0006102037732489407, 0.48336172103881836, 0.25021892786026, 0.23117433488368988, 0.2560449540615082, -0.13028942048549652, -0.828950047492981, -0.34421229362487793, 0.00055088929...
Detailed Instructions: Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas. Q: Category: boxing terminology Words: rudder, box, deck, corner, punch A:
rudder
9
NIv2
task141_odd-man-out_classification_category
zs_opt
[ 0.2668718695640564, 0.6828977465629578, 0.02159561589360237, -0.002676968928426504, 0.14674729108810425, 0.5673214197158813, 0.61919766664505, -0.06970767676830292, 0.5107240676879883, -0.8980303406715393, -0.6551440954208374, -0.21685662865638733, -1.1998333930969238, 0.865750789642334, ...
Detailed Instructions: Given a document, generate a short title of the document. The title should convey the main idea/event/topic about which the document is being written. Note that URLs in the text have been replaced with [Link]. Q: And Senator Cruz is not just blowing holy smoke . Among the policies recommended to...
Why I believe Ted Cruz is religious liberty 's only hope .
9
NIv2
task418_persent_title_generation
zs_opt
[ 0.42432156205177307, 0.38144004344940186, -0.5428245663642883, -0.029136430472135544, 0.4330727159976959, -0.6698389053344727, 0.6563022136688232, 0.7755744457244873, -0.345981627702713, 0.5338674187660217, 0.31622669100761414, 0.7815107107162476, -0.33074554800987244, -0.01218388136476278...
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're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the sentence choices from (...
B
0
NIv2
task296_storycloze_correct_end_classification
fs_opt
[ 0.20456016063690186, 0.41534531116485596, -0.28749558329582214, -0.09151877462863922, 0.749606728553772, -0.45704346895217896, 0.8605737686157227, 1.2456285953521729, -0.3854408264160156, 0.30949774384498596, -0.07427898794412613, -0.5647259950637817, -0.070127472281456, -0.045804157853126...
In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author is considering doing something in the future. [EX Q]: ...
HISTORICAL
6
NIv2
task282_scruples_event_time
fs_opt
[ -0.14351537823677063, 0.5682489275932312, -0.02472914382815361, -0.47197073698043823, 0.4266321659088135, -0.41961294412612915, 0.6809669733047485, 1.1135776042938232, 0.07062195241451263, -0.3358987271785736, -0.23526757955551147, 0.8298423290252686, -0.3693905472755432, 0.433578968048095...
Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear view tow...
Neutral
6
NIv2
task421_persent_sentence_sentiment_classification
fs_opt
[ -0.2719515264034271, 0.1298273503780365, 0.3064044117927551, 0.4196879267692566, -0.07058409601449966, -1.1155809164047241, 1.0445220470428467, 0.850908100605011, 0.38924601674079895, 0.4741608798503876, -0.5034842491149902, 0.4441278576850891, -0.7616745233535767, -0.5238906145095825, 0...
Detailed Instructions: 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 with the product. Otherwise, it is considered negative. ...
False
9
NIv2
task494_review_polarity_answer_generation
zs_opt
[ -1.2526462078094482, 0.22161650657653809, 0.6796854734420776, -0.5769110918045044, 0.12165145576000214, -0.7922163009643555, 0.848069965839386, 0.08703393489122391, 0.8834336400032043, 0.38843944668769836, -0.743009090423584, 0.14671003818511963, -0.5182205438613892, -0.3172392249107361, ...
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is. Q: ការពិតទៅគំនិតសង្ស័យដំបូងដែលនាងមានគឺ មានអ្វីកើតឡើងមិនធម្មតាកាលពីថ្ងៃផ្សាយនោះ កាលពីថ្ងៃ9 ខែមករាឆ្នាំ2009 នៅពេលដែលអឹមធីវី រ៉ូស្ស៊ីបានផ្សាយនូវ...
事実、その日の放送には何か普通でないことがあったという最初のうわさは、2009年1月9日にMTVロシアが、ドラマティックなオーケストラのロックミュージックと一緒に、彼女が叫び、電話を踏みつけるビデオクリップを放送したときだった。
4
NIv2
task1122_alt_khm_ja_translation
zs_opt
[ 0.10337226092815399, 0.776928186416626, -0.4501509666442871, 0.08258090168237686, -0.3885999917984009, 0.10425063222646713, 0.21884194016456604, -0.22832971811294556, -0.17388716340065002, -0.3420619070529938, -0.07458215206861496, 0.09417584538459778, -0.540898323059082, 0.312389612197876...
Detailed Instructions: In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining. Q: claim: The use of child performers sh...
support
9
NIv2
task738_perspectrum_classification
zs_opt
[ -0.3181599974632263, 1.1280564069747925, -0.5481878519058228, -0.2945594787597656, -0.42276546359062195, 0.13886326551437378, 0.567704439163208, 0.8447140455245972, 0.5093216896057129, 0.18614822626113892, -0.06379115581512451, 0.10961500555276871, -0.3664894104003906, 0.0940859466791153, ...
You will be given a definition of a task first, then some input of the task. In this task, you are given a food review in Persian, and you have to extract aspects of the food mentioned in the text. We define aspects as taste/smell(طعم), nutritional value(ارزش غذایی), product quality(کیفیت), delivery(ارسال), packaging(ب...
طعم
1
NIv2
task529_parsinlu_food_aspect_detection
zs_opt
[ -0.9273592233657837, 0.7834697365760803, 0.40540066361427307, -0.09150432050228119, -0.7119595408439636, 1.0669243335723877, 1.0106897354125977, 0.7120380401611328, -0.11930856108665466, 0.038476258516311646, -0.3473811745643616, -0.21141275763511658, -0.43796616792678833, 0.19938769936561...
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j. Ex Input: 10, 14, ['Q', '2959', '211...
7237
1
NIv2
task091_all_elements_from_index_i_to_j
fs_opt
[ -0.020964602008461952, -0.08928143978118896, -0.5498393177986145, -0.46570417284965515, -0.17395350337028503, -0.6230700016021729, 0.4403678774833679, -0.17958343029022217, -0.5693652629852295, -0.03692547604441643, -1.0047804117202759, 0.23027203977108002, 0.1224968433380127, -0.251762062...
Detailed Instructions: In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No". Problem:Cathy Wallace did not always know what she wanted to be when she grew up. She wa...
Yes
8
NIv2
task1392_superglue_multirc_answer_verification
zs_opt
[ -0.15406136214733124, 0.6836113929748535, -0.5052524209022522, -0.11043978482484818, 0.40825843811035156, -0.28872406482696533, 0.781304121017456, 0.8940682411193848, 0.20168176293373108, 0.27290311455726624, -0.06804610788822174, 0.3768346309661865, -0.4393455386161804, 0.0159191954880952...
Given the task definition and input, reply with output. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi. Tem as características das lentes de contacto.
این خواصی مشابه لنز چشمی دارد.
5
NIv2
task1282_ted_translation_pt_fa
zs_opt
[ -0.40265822410583496, 0.9576985836029053, -0.1593497395515442, -0.17144356667995453, -0.18682652711868286, 0.22367262840270996, 0.018038000911474228, 0.05525634437799454, 0.6841064095497131, -0.08742013573646545, -0.8305095434188843, 0.7534888982772827, -0.41308143734931946, 0.637447595596...
Detailed Instructions: In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment. Problem:You and Sinead torture yourselves, not me ! Solution:
Plural
8
NIv2
task431_senteval_object_count
zs_opt
[ -0.7316431403160095, 0.912033200263977, 0.15503248572349548, 0.007456017658114433, -0.2202700972557068, -0.6411031484603882, 0.8322950601577759, 0.14892959594726562, -0.18991121649742126, 0.09414790570735931, 0.2733767628669739, -0.04553736001253128, -0.7640162706375122, -0.461001694202423...
Detailed Instructions: In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3,...
(9, 10)
8
NIv2
task089_swap_words_verification
zs_opt
[ -0.33481717109680176, 0.8670186996459961, -0.22036311030387878, -0.45472174882888794, 0.08762100338935852, -0.5642096996307373, 0.04806356504559517, 0.24900716543197632, 0.193287193775177, -0.14745929837226868, -0.07515954971313477, -0.25828078389167786, -0.27593737840652466, 0.44861587882...
Teacher:Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation. Teacher: Now, und...
That would be cool, but having money requires me to not be in debt.
6
NIv2
task1729_personachat_generate_next
zs_opt
[ -0.4457162022590637, -0.4977068603038788, -0.4196607172489166, -0.11990900337696075, -0.3150528073310852, 0.42683839797973633, 0.7456421852111816, 0.6562308073043823, -0.19512465596199036, -0.1770942211151123, 0.044304557144641876, 0.17187798023223877, -0.160557359457016, -0.48515951633453...
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer. Input: Consider Input: When did apple stop supporting safari for windows? Output: What year...
Output: Who won the 2017 College Football Championship?
2
NIv2
task670_ambigqa_question_generation
fs_opt
[ -0.5612662434577942, 0.22110876441001892, -0.25721749663352966, -0.06850385665893555, -0.6074650287628174, -0.6506060361862183, 0.3515499532222748, 0.49448680877685547, 0.28422966599464417, -0.0025098694022744894, 0.1519339382648468, -0.4179566502571106, -0.25596922636032104, -0.1803888082...
Detailed Instructions: In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no". Q: Tweet: @driahades Bah. You're too good for ...
no
9
NIv2
task196_sentiment140_answer_generation
zs_opt
[ -1.752124547958374, 0.35710763931274414, 0.42666205763816833, -0.16359500586986542, -0.2578548192977905, -1.0088121891021729, 0.5391041040420532, 0.5542904138565063, 0.3725200891494751, 0.6443724632263184, -0.682822585105896, -0.32323819398880005, 0.3102743923664093, -0.5104941129684448, ...
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". Example: Katrina gave Christine a stuffed animal for their birthday, but _ already had this one. (A) Katrina (B) Christine Example solution: B Example exp...
Solution: A
5
NIv2
task1391_winogrande_easy_answer_generation
fs_opt
[ -0.0394042544066906, 0.3318783938884735, -0.0657268837094307, -0.2564236521720886, 0.017529085278511047, -0.766364336013794, 0.5801212191581726, 1.2169773578643799, -0.08731085062026978, 0.3902987837791443, 0.4532284438610077, 0.32444044947624207, 0.5104082822799683, 0.18906477093696594, ...
Given the task definition, example input & output, solve the new input case. In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to pa...
True
1
NIv2
task1162_coda19_title_classification
fs_opt
[ 0.4449261724948883, 0.25782254338264465, -0.2682211995124817, 0.5902186632156372, 0.7155650854110718, -0.12572231888771057, 0.6584426760673523, 1.1354806423187256, -0.45504164695739746, 0.7772225141525269, -0.18354851007461548, 0.9205251932144165, 0.016409868374466896, 0.44772055745124817,...
Q: 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: Shopping for children.. Sentence 1: Olga realized...
I was in trouble with my parents.
7
NIv2
task215_rocstories_incorrect_answer_generation
zs_opt
[ -0.5989255905151367, 0.9751651287078857, 0.23746198415756226, -0.6894239187240601, -0.21279963850975037, -0.1349663883447647, 0.2746211886405945, 1.3023601770401, 0.3738577961921692, -0.11763611435890198, -0.20351561903953552, -0.03306166082620621, -0.3446180820465088, -0.05678067356348038...
Definition: In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: No...
Adj N N V Pron Adv Prep N Punc
2
NIv2
task1543_conll2002_parts_of_speech_tagging_answer_generation
zs_opt
[ -0.2752348780632019, 0.3215900659561157, -0.14946526288986206, -0.011082610115408897, -0.2891097366809845, -0.08157321810722351, 0.8666520118713379, -0.4656469225883484, 0.4642831087112427, -0.6847010254859924, -0.6170851588249207, 0.30205678939819336, -0.8036565780639648, 0.29373517632484...
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish. See one example below: Problem: لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها Solution: Poradzi sobie, ale trzeba na nią uważać. Explanation: The Arabic sentence is correctly translated into Polish, bec...
Bywa też lepszy niż nam to wmówiono, ale musimy zobaczyć go takim, jaki jest, ze wszystkimi swoimi problemami. Dopiero widząc wszystkie problemy, możemy je rozwiązać i żyć w świecie, gdzie wszyscy żyją długo i szczęśliwie. (Śmieje się)
4
NIv2
task1107_ted_translation_ar_pl
fs_opt
[ -0.015017068013548851, 1.2935303449630737, 0.3046702742576599, -0.6181836128234863, -0.2633920907974243, -0.26549232006073, 1.3576881885528564, -0.12474869191646576, 0.39286914467811584, 0.29119035601615906, -1.0125985145568848, 0.6276484131813049, -1.0435224771499634, 0.6091949939727783, ...
Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it bei...
L'effet de la cuisson d'une fusée rend la nourriture plus savoureuse.
8
NIv2
task406_mickey_fr_sentence_perturbation_generation
fs_opt
[ 0.30958470702171326, 0.5395305156707764, 0.26364102959632874, 0.08640756458044052, 0.30912700295448303, -1.0434684753417969, 0.3787263333797455, 0.49585139751434326, -0.4351309537887573, -0.08366265892982483, -0.24818752706050873, -0.46784508228302, -0.4747110605239868, 0.14389020204544067...
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...
Description
0
NIv2
task1289_trec_classification
zs_opt
[ -0.21515759825706482, -0.2076387107372284, 0.28981149196624756, 0.09328358620405197, -0.23591119050979614, -0.8555764555931091, 0.1848009079694748, 0.09305915981531143, -0.05258629471063614, -0.3421977758407593, -0.5718458890914917, -0.3336073160171509, -0.6441765427589417, -0.046454876661...
In this task, you must classify if a given review is positive/negative, indicating your answer as P or N. Let me give you an example: plot : two teen couples go to a church party , drink and then drive . they get into an accident . one of the guys dies , but his girlfriend continues to see him in her life , and has ni...
N
8
NIv2
task1361_movierationales_classification
fs_opt
[ 0.1345062553882599, 0.39360564947128296, -0.5753543376922607, 0.046778883785009384, 0.23010459542274475, -0.29370957612991333, 1.1282017230987549, 1.0239369869232178, -0.24811670184135437, 0.22001436352729797, -0.0999993085861206, 0.14566749334335327, -0.24621525406837463, -0.2257127612829...
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 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimal...
[-266, -106, 222, 342, -11.0, -22.5, -8.0, 1.0, 8.0]
4
NIv2
task368_synthetic_even_or_odd_calculation
zs_opt
[ -1.251681923866272, 0.9516436457633972, -0.0996420830488205, -0.44612061977386475, 0.12267829477787018, -0.3385774493217468, 1.711038589477539, -0.11505071818828583, -0.06723244488239288, 0.46363356709480286, -0.23147885501384735, -0.06575531512498856, -0.527216911315918, -0.03473846241831...
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish. Input: אז ללא ספק אלו חדשות רעות עבור רויטר. Output:
To na pewno złe wieści dla Reuthera.
2
NIv2
task1112_ted_translation_he_pl
zs_opt
[ -1.025926947593689, 0.699959397315979, -0.3394257426261902, 0.5312247276306152, -0.4684939384460449, -0.36937347054481506, 0.4316955804824829, -0.08645835518836975, 0.9383587837219238, -0.48962539434432983, -0.7856075763702393, 0.18639807403087616, -0.11860242486000061, 0.3388262391090393,...
Part 1. Definition Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question. Part 2. Example Question: Are group 2 innate lymphoid ce...
yes
7
NIv2
task846_pubmedqa_classification
fs_opt
[ -0.07305599004030228, 0.20250636339187622, -0.3291528820991516, 0.40699878334999084, 0.14750467240810394, -0.665635883808136, -0.06379979848861694, 1.0473130941390991, 0.24877427518367767, 0.2874802350997925, -0.6582019329071045, 0.04177536442875862, -0.602426290512085, 0.12985527515411377...
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'. Input: Consider Input: Person1: Are you new here ? Person2: Yes , I am . Person1: Is this your first year in...
Output: 1
2
NIv2
task1534_daily_dialog_question_classification
fs_opt
[ 0.266218900680542, 0.447019100189209, -0.4532471299171448, -0.06404517590999603, -0.09486324340105057, -0.7038453221321106, -0.02054402604699135, 0.4006422758102417, 0.6894128322601318, 0.29072439670562744, -0.14643678069114685, -0.5389872789382935, -0.7317689657211304, 0.01629323139786720...
Part 1. Definition In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance...
0
7
NIv2
task1445_closest_integers
fs_opt
[ -0.5857881903648376, 0.0529261976480484, 0.07695852965116501, -0.08689893782138824, -0.04340580478310585, -0.22233924269676208, 0.7350040674209595, 0.056715816259384155, 0.3314031660556793, -0.27636006474494934, -0.5775591135025024, -0.4563048481941223, -0.7942131161689758, -0.320057779550...
Q: Given a text passage as input comprising of dialogue of negotiations between a seller and a buyer about the sale of an item, your task is to classify the item being sold into exactly one of these categories: 'housing', 'furniture', 'bike', 'phone', 'car', 'electronics'. The output should be the name of the category ...
bike
7
NIv2
task767_craigslist_bargains_classification
zs_opt
[ -0.015064706094563007, -0.28125709295272827, -0.6164485216140747, 0.7296942472457886, 0.4998732805252075, -0.2277630865573883, 0.09352809190750122, 1.0872822999954224, -0.23300231993198395, 0.04465053230524063, 0.046416640281677246, 0.8792903423309326, -0.2375965714454651, 0.29515784978866...
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian. Input: 一連のステージを一段深いレベルの視点で見てみたいと思います「パンはなぜ特別なのか」という質問に答える探求の旅の視点で Output:
Ma diamo un altro sguardo a questi passaggi dal punto di vista delle connessioni a un livello possibilmente più profondo... tutto nella mia caccia alla risposta alla domanda: "Cosa c'è di così speciale nel pane?"
3
NIv2
task1096_ted_translation_ja_it
zs_opt
[ 0.255648136138916, -0.17938926815986633, 0.02026524394750595, 0.07852041721343994, -0.5199655294418335, -0.5094653367996216, 0.3024158477783203, -0.23338858783245087, -0.4179072380065918, -0.2935265898704529, -0.3043019771575928, 0.09820465743541718, -0.45318982005119324, 0.727078080177307...
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the questi...
I was not able to fit the dessert in my tummy because the _ was very full.
6
NIv2
task034_winogrande_question_modification_object
fs_opt
[ 0.7270592451095581, 0.19670814275741577, 0.04704521223902702, -0.20210927724838257, 0.6121708750724792, -0.8809125423431396, 0.7909104824066162, 1.1855820417404175, -0.5662275552749634, -0.32683026790618896, -0.48279523849487305, 0.2711557447910309, -0.4452890157699585, 0.00557052530348300...
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content. @_whatshername BOO. negative As a reward, you may download a free copy of EmailUnlimited on [Link] positive This one girl will not stop staring at me! I ...
negative
0
NIv2
task195_sentiment140_classification
fs_opt
[ -1.7923619747161865, 0.5811929106712341, 0.6795631647109985, 0.01926625333726406, 0.013071069493889809, -0.6311154365539551, 0.49159592390060425, 0.7333328723907471, 0.521442174911499, 0.37227892875671387, -0.23658683896064758, -0.44759511947631836, -0.11160007119178772, -1.174439787864685...
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwi...
No
5
NIv2
task066_timetravel_binary_consistency_classification
fs_opt
[ -0.5231826305389404, 0.6140446066856384, -0.5674013495445251, 0.053842853754758835, -0.2473570853471756, -0.919189453125, 0.25997665524482727, 0.9624570608139038, -0.331374853849411, -0.31666621565818787, -0.6259579658508301, -0.27077221870422363, -0.49554696679115295, -0.3141271770000458,...
Teacher: Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence. Teacher: Now, understand the problem? If you are still confused, see the following example: Who did the Han Chinese want to help the Khitan no I mean the Mongols fight? Solution: Who did...
What pushes businesses to increase pressures on workers?
2
NIv2
task1195_disflqa_disfluent_to_fluent_conversion
fs_opt
[ -0.13611289858818054, 0.68413907289505, -0.015100717544555664, -1.1013047695159912, -0.09055553376674652, -1.0689870119094849, 0.5595372319221497, 0.8644317984580994, 0.6773084998130798, -0.20803117752075195, -0.5685506463050842, -0.5872304439544678, -1.1152735948562622, -0.694475829601287...
Definition: 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. Input: Cucumbers have ____ different flowers, male and female. Output:
two
2
NIv2
task1359_numer_sense_answer_generation
zs_opt
[ -0.6292641162872314, 0.351993203163147, -0.25119873881340027, -0.4228747487068176, 0.3165341317653656, 0.0010398437734693289, 0.3818421959877014, 0.5508431196212769, 0.13869835436344147, 0.13092736899852753, -0.3371416926383972, -0.20577558875083923, -0.630445659160614, -0.1080074831843376...
You will be given a definition of a task first, then some input of the task. In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun)...
It will, I hope, be examined in a positive light.
1
NIv2
task312_europarl_sv_en_translation
zs_opt
[ -0.42718014121055603, 0.47320157289505005, 0.4947390556335449, -0.5990591049194336, 0.2830394506454468, 0.10226141661405563, 0.5779855251312256, 0.05581764131784439, 0.4714559316635132, -0.06910083442926407, -0.002014432568103075, 0.24372602999210358, -0.43268874287605286, -0.2054303884506...
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi. [Q]: WK: Estes são os meus pais a mostrar o radio. [A]: و.ک.: والدینم هستن ، رادیو را گرفتن. [Q]: Mas, no geral, é uma notícia espantosa. [A]: اما به طور کلی ، خبر شگفت انگیزی است. [Q]: Isto é semelhante ao modo co...
تا حدود زیادی شبیه یادگیری آدمه.
5
NIv2
task1282_ted_translation_pt_fa
fs_opt
[ -0.37040281295776367, 1.0742599964141846, -0.5353711247444153, -0.5446109175682068, -1.138403058052063, -0.3443855941295624, 0.6751708388328552, 0.8901329040527344, 0.7991533279418945, -0.09515408426523209, -1.14033842086792, 0.2553302049636841, -0.7905102968215942, 0.12352640181779861, ...
Detailed Instructions: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content. Problem:@samantharonson :-O, thanks for reminding me! I was waiting for it!!! Solution:
positive
8
NIv2
task195_sentiment140_classification
zs_opt
[ -0.9772852659225464, 0.11225161701440811, 1.1630899906158447, 0.469239741563797, 0.5193819999694824, -1.0118223428726196, -0.13582517206668854, 0.6377454400062561, 0.41062867641448975, 0.4998547434806824, -0.2954972982406616, -0.22155466675758362, -0.28576943278312683, -0.5951026678085327,...
Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question. One example: Question: Are group 2 innate lymphoid cells ( ILC2s ) increase...
no
6
NIv2
task846_pubmedqa_classification
fs_opt
[ -0.7590222954750061, 0.24395065009593964, -0.3390099108219147, 0.2798577547073364, 0.11307884007692337, -0.9493130445480347, 0.05977220833301544, 0.9066767692565918, -0.07719414681196213, 0.025199759751558304, -0.5465353727340698, -0.0669223815202713, -0.5394783020019531, 0.185881733894348...
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'. Q: 8651 aggiunta 9876 sottr...
16895
4
NIv2
task086_translated_symbol_arithmetic
zs_opt
[ -0.17586460709571838, 0.7195276021957397, -0.41939738392829895, -0.003688440890982747, -0.6649173498153687, -0.07418390363454819, 0.7354704737663269, 0.8375352621078491, 0.24688568711280823, -0.4334118962287903, -1.20391047000885, -0.6735148429870605, -0.3654317855834961, 0.752365529537200...
Part 1. Definition In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and ho...
If at least one image shows a pair of running shoes that are being worn on a person's feet
7
NIv2
task184_break_generate_question
fs_opt
[ 0.6356260776519775, 0.12988483905792236, -0.716876208782196, 0.44033026695251465, 0.3739858865737915, -0.1478760540485382, 0.8455198407173157, 0.3702567219734192, -0.43098610639572144, 0.45614588260650635, -0.457545667886734, 0.4956510663032532, -0.01090941485017538, 0.3207491636276245, ...
Part 1. Definition You are given a sentence in English. Your job is to translate the English sentence into Spanish. Part 2. Example With economic growth, countries and societies enter into a virtuous cycle of upward mobility, opportunity and improved living standards. Answer: Con el crecimiento, los países y las socied...
De lo que quiero hablar con ustedes por algunos minutos es de lo que la gente ha aprendido usando las técnicas de descodificación de ADN en particular, al estudiar la nube de microbios que vive dentro y fuera de nosotros.
7
NIv2
task1219_ted_translation_en_es
fs_opt
[ -1.2258049249649048, 0.3720567226409912, 0.283904492855072, -0.3219452202320099, -0.32673174142837524, -0.18068598210811615, 0.30920809507369995, 0.8865422010421753, -0.41284698247909546, 0.2373814582824707, -0.7785896062850952, 0.14910852909088135, -0.5332517623901367, -0.0494647771120071...
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time. One example: Jag förklarar debatten avslutad. Solution is...
Swedish
6
NIv2
task315_europarl_sv-en_language_identification
fs_opt
[ -0.40192466974258423, 0.8878339529037476, 0.5502809286117554, -0.5506045818328857, 0.06758197396993637, -0.3507630228996277, 0.8301682472229004, -0.16056959331035614, 0.5494407415390015, -0.45797139406204224, 0.10383008420467377, 0.459638386964798, -0.37574058771133423, 0.18051594495773315...
Given a part of privacy policy text, identify the purpose for which the user information is collected/used. The purpose should be given inside the policy text, answer as 'Not Specified' otherwise -------- Question: An unnamed third party does receive your unspecified personal information for an additional (non-basic) s...
Additional service/feature
7
NIv2
task683_online_privacy_policy_text_purpose_answer_generation
fs_opt
[ -0.322624146938324, 0.1391206979751587, -0.8050432801246643, -0.09585720300674438, -0.4424022138118744, -0.805367112159729, 0.5574758052825928, -0.1026076152920723, -0.018224652856588364, 0.7088439464569092, 0.586050808429718, -0.001597659196704626, -0.5276909470558167, -0.5036380290985107...
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact Let me give you an example: Igbo sentence: Olee kwere omume? The answer to this example can be: How is this possible Here is why: The English translation means the same as the original sent...
The deductions to the country's budget are also estimated in millions of dollars. In 2015, South African authorities received $ 262 million from the gambling business.
8
NIv2
task449_opus_paracrawl_ig_en_translation
fs_opt
[ -0.17890867590904236, 0.7713991403579712, -0.028811302036046982, 0.24795588850975037, -0.0005756097962148488, -1.2014446258544922, 0.19306986033916473, 0.9003092050552368, 0.02142903208732605, -0.980802595615387, -0.263807475566864, 0.19652818143367767, -0.6252856254577637, -0.245114713907...
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English. Q: Assim, se houvesse uma emergência ou um parto iminente, o melhor seria esquecer chegar a um centro de saúde. A:
So if you're in an emergency situation — or if you're a mom about to deliver a baby — forget it, to get to the health care center.
4
NIv2
task1274_ted_translation_pt_en
zs_opt
[ 0.32438206672668457, 0.8089663982391357, 0.1070159524679184, 0.12602844834327698, -0.49035367369651794, -0.7016788721084595, -0.6226699352264404, 0.44672927260398865, 0.7296281456947327, 0.4862111508846283, 0.3930816054344177, 0.9134643077850342, -0.0825076550245285, 0.22064435482025146, ...
Q: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually expl...
Yes
7
NIv2
task608_sbic_sexual_offense_binary_classification
zs_opt
[ -1.4090373516082764, 0.2895908057689667, 0.24356609582901, 0.5317360162734985, 0.020440559834241867, 0.15822742879390717, -0.029843151569366455, 0.7545955181121826, 0.05164904147386551, 0.2726675868034363, 0.1456579864025116, -0.6040598750114441, -0.46045953035354614, -0.8094792366027832, ...
In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense. Jane jumped into space (A) A human being cannot simply...
A
0
NIv2
task295_semeval_2020_task4_commonsense_reasoning
fs_opt
[ 0.00081426533870399, 0.8628654479980469, -0.21407629549503326, -0.6414324045181274, 0.29746392369270325, -0.3011174201965332, -0.08119955658912659, 0.2614833116531372, -0.46854472160339355, 0.3271756172180176, -0.22711065411567688, -0.05779683589935303, -0.5748013854026794, -0.962947607040...