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 |
|---|---|---|---|---|---|---|
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: Car Salesman. Sentence 1: Rob was a used car salesm... | He vowed to get in better shape and try again.
| 0 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
-0.3260255753993988,
0.13959550857543945,
-0.20206008851528168,
-0.18831589818000793,
0.04589135944843292,
-0.5015223026275635,
0.27530789375305176,
0.9236775636672974,
-0.1325719654560089,
0.25422292947769165,
-0.5735982656478882,
0.36008211970329285,
0.1726575791835785,
-0.21804736554622... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three... | red_box | 0 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.19379422068595886,
-0.5946167707443237,
0.04708512872457504,
0.10599195957183838,
0.12172454595565796,
-0.6823709011077881,
0.13498812913894653,
0.48755133152008057,
-0.06600581854581833,
0.31390875577926636,
-0.01124170795083046,
0.4607532322406769,
0.07215313613414764,
0.26008421182632... |
Part 1. Definition
In this task, given a sentence in the English language, your task is to convert it into the Chinese language.
Part 2. Example
"This has not been a donor conference where governments have been invited to come and make new pledges, as I said if everybody lived by their Paris pledges in December 2007, w... | 佛罗伦萨必须秘密地再进行三场比赛，拉齐奥则要参加两场。 | 7 | NIv2 | task548_alt_translation_en_ch | fs_opt | [
-0.704137921333313,
0.4133852422237396,
-0.612558901309967,
-0.22513285279273987,
-0.3618548512458801,
0.07735839486122131,
0.8402493596076965,
0.5639841556549072,
0.003994317725300789,
-0.1980423480272293,
-0.034807246178388596,
0.8233770132064819,
-0.07015514373779297,
0.4785172343254089... |
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closes... | Sci/Tech
| 1 | NIv2 | task379_agnews_topic_classification | fs_opt | [
-0.1590760052204132,
0.10525821149349213,
-0.18606433272361755,
0.9036955237388611,
-0.05252283811569214,
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-0.7518897652626038,
0.3405511975288391,
-0.24919535219669342,
0.003832416143268347,
-0.3019025921821594,
0.35100042819976807,
-0.1473662257194519,
-0.4350246787071... |
TASK DEFINITION: Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the... | what does hydrogen bonds cause to expand when it freezes?
| 8 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.15798483788967133,
0.4953419268131256,
0.07242662459611893,
-0.24611657857894897,
-0.5720922350883484,
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0.9894977807998657,
0.2888595163822174,
0.20119471848011017,
-0.72632896900177,
-0.9488059282302856,
0.5801732540130615,
-0.18098261952400208,
0.23297487199306488,... |
Teacher:In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Teacher: Now, understand the problem? Solve this instance: Sentence-1: They are a public company.<sep>Sentence-2: My company is private .
Student: | No | 6 | NIv2 | task566_circa_classification | zs_opt | [
-1.1460939645767212,
0.2840878367424011,
0.6292892694473267,
-0.3959848880767822,
0.35921981930732727,
-0.23387621343135834,
0.3114132881164551,
1.3841477632522583,
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-0.0705811083316803,
-0.252157062292099,
-0.6758590340614319,
-0.07021817564964294,
-1.2487554550170898,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three... | green_basket | 0 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.3300822973251343,
-0.24858307838439941,
-0.046548519283533096,
0.004669413901865482,
0.036989398300647736,
-0.3852897584438324,
0.2578265368938446,
0.37279778718948364,
0.050958022475242615,
0.13551442325115204,
-0.0767560750246048,
0.5881876945495605,
-0.031136449426412582,
0.3584475517... |
Given a sentence in Dutch, generate a new Dutch 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... | Je zou oorlog voeren omdat je de slechteriken uit je land wilt hebben.
| 5 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.015139223076403141,
0.37998318672180176,
0.37556371092796326,
-0.6299393177032471,
-0.05411799997091293,
-0.06703218817710876,
0.11280453950166702,
0.9391539096832275,
0.15989328920841217,
-0.19461892545223236,
-0.4559818208217621,
0.43271005153656006,
-0.07709994912147522,
-0.111271739... |
instruction:
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.
question:
بھارت کے محکمے خلاء(ڈی او ایس)، اسرو اور جاپان کی تعلیم، کلچر، کھیل کود، سائنس اور ٹیکنالوجی کی وزارت(ایم ای ایکس ٹی)اور جاکسا نے نوم... | ਦੇਸ਼ ਦੇ ਅਜ਼ਾਦੀ ਅੰਦੋਲਨ ਵਿਚ 9 ਅਗਸਤ ਇੱਕ ਅਜਿਹੀ ਅਵਸਥਾ ਵਿਚ ਹੈ , ਏਨਾ ਵਿਆਪਕ, ਏਨਾ ਤੇਜ਼ ਅੰਦੋਲਨ, ਅੰਗਰੇਜ਼ਾਂ ਨੇ ਕਲਪਨਾ ਨਹੀਂ ਕੀਤੀ ਸੀ।
| 9 | NIv2 | task1052_pib_translation_urdu_punjabi | fs_opt | [
0.5830591917037964,
0.12198808044195175,
-0.06861530989408493,
-0.6826632022857666,
-0.09540563821792603,
-0.5806722044944763,
0.3435744047164917,
-0.18475529551506042,
-0.6911962032318115,
0.1358792781829834,
0.21828649938106537,
-0.33148783445358276,
-0.26398688554763794,
-0.045412339270... |
In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the... | 21453 | 6 | NIv2 | task300_storycloze_order_generation | fs_opt | [
-0.11034757643938065,
0.35204002261161804,
-0.6182116270065308,
-0.15852975845336914,
-0.37730076909065247,
-0.45467275381088257,
-0.007173290941864252,
0.9061838388442993,
0.11225876957178116,
0.13144004344940186,
-1.1404070854187012,
-0.4548531770706177,
-1.2121212482452393,
0.0013044135... |
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].
[EX Q]: Verify if the sentiment of the following document towards the entity George Weah is Negative . Paris... | yes
| 6 | NIv2 | task422_persent_sentence_sentiment_verification | fs_opt | [
-0.5933141708374023,
-0.2649535536766052,
0.07860824465751648,
0.056528545916080475,
0.4305886924266815,
-1.1627824306488037,
0.6295435428619385,
0.8650542497634888,
-0.23904097080230713,
0.39058780670166016,
-0.054599061608314514,
0.47424623370170593,
-0.35165488719940186,
-0.282903105020... |
Detailed Instructions: In this task, given a sentence in the Malay language, and your task is to convert it into the English language.
Problem:Di dalam dokumen, Suruhanjaya itu mendapat inspirasi daripada model sosial negara-negara Skandinavia - iaitu oleh sistem sosial yang ditubuhkan di Denmark pada lewat tahun 1990-... | On its paper, the Commission is inspired by the social model of the Scandinavian countries - namely by the social system established in Denmark in the late 1990's. | 8 | NIv2 | task539_alt_translation_ma_en | zs_opt | [
-0.7924129962921143,
0.33165669441223145,
-0.10484731197357178,
-1.6406749486923218,
-0.032092880457639694,
0.42709481716156006,
1.0230519771575928,
0.2167673110961914,
0.47336751222610474,
-0.12922519445419312,
0.013841812498867512,
0.7257975339889526,
-1.3474587202072144,
0.2953881919384... |
Instructions: 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: _ number _. Your answer should be chosen from the given text, and should not contain other words.
Input: The Ridd... | Riddle | 3 | NIv2 | task401_numeric_fused_head_reference | zs_opt | [
-0.1785023808479309,
0.7138283252716064,
-0.3029163181781769,
-0.5984979271888733,
-0.36889728903770447,
-0.035346053540706635,
0.6835314035415649,
0.7099887132644653,
-0.13424158096313477,
-0.01739802397787571,
-0.6426947116851807,
-0.20706063508987427,
-0.5203628540039062,
-0.67346930503... |
You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and No.
Exa... | Solution: Yes. | 5 | NIv2 | task050_multirc_answerability | fs_opt | [
-0.6821664571762085,
0.23428168892860413,
0.5029743909835815,
0.41674190759658813,
-0.5733962655067444,
-1.5970815420150757,
0.23796895146369934,
0.9188492298126221,
0.0904681384563446,
0.29219263792037964,
-0.31879109144210815,
0.18051069974899292,
-0.19055253267288208,
-0.098043181002140... |
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... | Yes
| 6 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt | [
-0.6487714052200317,
0.48386630415916443,
-0.2692713737487793,
0.010836931876838207,
-0.19514816999435425,
-0.7660804986953735,
0.6685649156570435,
0.8375596404075623,
-0.25039249658584595,
-0.09201771020889282,
-0.02976018562912941,
-0.08310096710920334,
-0.8018960952758789,
0.04013197124... |
Instructions: Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Input: Tagalog sentence: 8:21 At narinig ni Samuel ang lahat ng mga salita ng bayan, at kaniyang mga isinaysay sa pakinig ng Panginoon.
Output: | 8:21 And Samuel heard all the words of the people, and he rehearsed them in the ears of the LORD. | 3 | NIv2 | task451_opus_paracrawl_tl_en_translation | zs_opt | [
0.31698811054229736,
1.0203267335891724,
0.7491134405136108,
-0.8706749677658081,
-0.17521598935127258,
-1.2019422054290771,
0.5571142435073853,
0.18831416964530945,
-0.12962090969085693,
0.1919291466474533,
0.08859345316886902,
0.20269550383090973,
-0.7514455318450928,
-0.8177385330200195... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: चूंकि नीति में दी गई परिभाषा अपने आप में पूर्ण है, इसलिए एफडीआई नीति से दवा एवं कॉस्मेटिक्स... | ఈ విధానంలో ప్రస్తావించిన నిర్వచనం తనంత తాను పూర్ణంగా ఉన్నందువల్ల, దీనిలోని డ్రగ్స్ అండ్ కాస్మెటిక్స్ యాక్టు ప్రసక్తిని తీసివేయాలని నిర్ణయించడమైంది. | 6 | NIv2 | task1045_pib_translation_hindi_telugu | zs_opt | [
0.007752446923404932,
-0.11913183331489563,
0.4103256165981293,
-0.7925664782524109,
-0.04727163165807724,
-1.6033217906951904,
0.2888104319572449,
0.580954909324646,
-0.03952358663082123,
-0.013364776968955994,
-0.44416069984436035,
-0.22150865197181702,
-0.4833835959434509,
-0.0536743253... |
In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returned.
... | [631, 503, 439, 71, 647, 827, 193, 839, 929, 13] | 0 | NIv2 | task366_synthetic_return_primes | zs_opt | [
-0.359485924243927,
0.2748697102069855,
-0.10289870947599411,
-0.2865292429924011,
0.28745660185813904,
-0.2046087235212326,
0.9437652230262756,
0.6995776891708374,
-0.13887383043766022,
0.20441386103630066,
-1.338916540145874,
-0.616756796836853,
-0.20477184653282166,
-0.4813239574432373,... |
Definition: 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 th... | 7332G3661508177441522 | 2 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | zs_opt | [
-0.06338052451610565,
0.21196630597114563,
-0.8179846405982971,
-0.42439132928848267,
-0.08160536736249924,
0.2528438866138458,
0.5742342472076416,
0.09114721417427063,
-0.049712181091308594,
-0.059724532067775726,
-1.23692786693573,
-0.05910692736506462,
0.1709299385547638,
-0.28798341751... |
Instructions: In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Input: Problem: eight cubes , each with a volume of 512 cm ^ 3 , are joined to form one large cube . what is the surface area of the large cube ?
Options: ['a ) 4096 sq... | b | 3 | NIv2 | task1423_mathqa_geometry | zs_opt | [
0.7047468423843384,
0.5568938255310059,
-0.5000315308570862,
-0.8354055881500244,
-0.01943870261311531,
-0.0074728019535541534,
-0.22852955758571625,
-0.29073432087898254,
-0.08920048177242279,
-0.028145361691713333,
-0.3130393326282501,
0.7225178480148315,
0.3107999861240387,
-0.166213035... |
Detailed Instructions: Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasona... | 您可能会在牙科办公室找到支持椅 。 | 9 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-0.2563619315624237,
0.536957323551178,
-0.4083305597305298,
-1.1443569660186768,
-0.2659153938293457,
-0.47077518701553345,
-0.5912973880767822,
0.8702783584594727,
0.37707656621932983,
-0.1896684765815735,
0.4578878581523895,
0.5354735255241394,
0.5068261027336121,
0.7852383255958557,
... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Ahora debemos atravesar el hielo. | الآن علينا خرق الجليد. | 0 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
0.11317718029022217,
0.5604269504547119,
-0.06323237717151642,
-0.5346805453300476,
0.4425821304321289,
0.46238553524017334,
0.5571959614753723,
-0.12595826387405396,
0.35213515162467957,
-0.6422706246376038,
-0.35473543405532837,
-0.9753955602645874,
-0.8334278464317322,
0.652452468872070... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the numbers 0 (entailment), 1 (neutral), or 2(cont... | Solution: 0 | 5 | NIv2 | task1612_sick_label_classification | fs_opt | [
-0.26732051372528076,
0.7081714868545532,
-0.1601642370223999,
-0.058847080916166306,
0.03291924297809601,
-0.3359789550304413,
0.1605718433856964,
0.4310137629508972,
0.21168223023414612,
-0.03483101725578308,
0.018060237169265747,
-0.08970053493976593,
-0.02716740593314171,
-0.0360022224... |
In this task, you need to count the number of nouns/verbs in the given sentence.
Example input: Sentence: 'A small toy kept on tray held by a man'. Count the number of nouns in this sentence.
Example output: 3
Example explanation: The words 'toy', 'tray', and 'man' are nouns in this sentence. So, the answer is 3.
Q: S... | 0 | 3 | NIv2 | task155_count_nouns_verbs | fs_opt | [
0.24341443181037903,
1.1017117500305176,
-0.1322784721851349,
-0.7129703760147095,
-0.028050459921360016,
-0.05051816254854202,
0.8172910809516907,
0.7701780200004578,
-0.6518024206161499,
-0.2327938824892044,
-0.5263177752494812,
0.25947535037994385,
-0.22061841189861298,
0.39970242977142... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Lot trwał 12 sekund na długości 36,5 metra. | واستغرقت الرحلة 12 ثانية وقطعت مسافة 120 قدم. | 0 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.2479565143585205,
-0.27737972140312195,
-0.2567583918571472,
-0.7210708856582642,
-0.2773473262786865,
0.747805118560791,
0.464945912361145,
-1.081333041191101,
0.04700837284326553,
-0.8228586316108704,
-0.905081033706665,
0.2190144658088684,
-0.6763512492179871,
0.2146286964416504,
0... |
Detailed Instructions: You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids will be considered as in high school. There are only tw... | high | 4 | NIv2 | task1712_poki_classification | fs_opt | [
0.1174006313085556,
0.9032647609710693,
0.2861614525318146,
-0.2986243665218353,
-0.06423848867416382,
-1.0031483173370361,
-0.02587788924574852,
0.3550807237625122,
0.13987460732460022,
-0.747838020324707,
-0.21697479486465454,
0.25264397263526917,
-0.09134252369403839,
-0.009877061471343... |
Teacher:A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: రెండు దేశాలకు చెందిన అకౌంటింగ్ ఇన్స్టిట్యూట్ ల మధ్య పటుతరమైన పని సంబంధాలు వర్ధిల్లగలవు.... | இரு கணக்கீட்டுப் பயிற்சி நிறுவனங்களுக்கு இடையே வலிமையான பணி உறவுகளை ஏற்படுத்தும். | 6 | NIv2 | task1076_pib_translation_telugu_tamil | zs_opt | [
-0.08763357996940613,
0.49634993076324463,
0.5889849662780762,
-0.1986377239227295,
0.3973301947116852,
-0.2031901776790619,
-0.07740321755409241,
0.3282647132873535,
-0.18409249186515808,
-0.004285634029656649,
0.2415265440940857,
-0.4461401104927063,
-0.49769118428230286,
0.0200045332312... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here ... | True | 1 | NIv2 | task346_hybridqa_classification | zs_opt | [
-0.004215323366224766,
0.19889584183692932,
-0.5209587216377258,
0.5472328066825867,
-0.29371100664138794,
-0.6302920579910278,
0.7163604497909546,
0.5322551727294922,
-0.4835178256034851,
-0.05497615411877632,
-0.9348150491714478,
0.5657851696014404,
-0.027223531156778336,
0.0070210560224... |
Definition: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language ... | Obscene | 2 | NIv2 | task326_jigsaw_classification_obscene | zs_opt | [
-0.6446676850318909,
0.04668114706873894,
0.49213314056396484,
0.21156060695648193,
0.4927462041378021,
-0.19036787748336792,
-0.08585691452026367,
0.2640547752380371,
0.5609077215194702,
0.5502563118934631,
0.2453993558883667,
0.2224012315273285,
-0.3457922637462616,
-0.7971363067626953,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Hoy día, es no señora, ubíquese. Y así — (Risas) Pero entonces no — no había, pero el tipo tenía — Dije, ¿qué clase de sales de potasio tiene? Ust... | أما الآن ، فإنه لا يا سيدتي تحقق من حذائك. ومثل — (ضحك) لكن آنذاك لم يكن — لم تتوفر لديهم لكن الرجل كان يتوفر عليها — قلت ، ما نوع الملح أو البوتاسيوم الذي لديك ؟ تعرفون. | 1 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
-0.6685015559196472,
0.7165539264678955,
-0.031341537833213806,
-0.5199562311172485,
0.2183714509010315,
0.2892554700374603,
0.7452877163887024,
1.1728003025054932,
0.6407511234283447,
0.533677339553833,
-0.06616290658712387,
0.13933172821998596,
0.021640073508024216,
-0.46418288350105286,... |
Definition: In this task, you will be presented with a question in Persian. Based on the knowledge you need to answer the question, classify the question into "math_and_logic", "literature", or "common_knowledge".
Input: در زمان کدام شاه ساسانی یمن به تصرف ایران درآمد؟
Output: | common_knowledge | 2 | NIv2 | task474_parsinlu_mc_classification | zs_opt | [
-0.27368924021720886,
0.9098129868507385,
0.35232144594192505,
-0.6653109788894653,
-0.6010488271713257,
0.005293780006468296,
0.20876134932041168,
0.2686978578567505,
0.7964045405387878,
-0.6339609622955322,
-0.9498820304870605,
0.7538238763809204,
-0.5727552175521851,
0.09292693436145782... |
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 .
One example: Statement: सिग्नेचर केल्विन क्लेन अंडरवियर बुटीक, ब्यूनस आयर्स, टोरंटो, मेक्सिको सिटी, <MASK>, ग्लासगो,... | 2003 | 6 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | fs_opt | [
0.8058500289916992,
0.17527107894420624,
-0.5499821901321411,
0.3729235827922821,
0.10449583828449249,
-1.035836935043335,
-0.3998684585094452,
0.47605395317077637,
0.160856232047081,
-0.3051212430000305,
0.4433554410934448,
0.2677949070930481,
-0.40068763494491577,
-0.086359903216362,
-... |
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.
--------
Question: FML my father bought me ticketsto pr for 1 week n to dr for another week but my stupid job wants me to take only 1 week ughh shit suckz
... | positive
| 7 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.974482774734497,
0.09745251387357712,
0.7310501933097839,
-0.06387410312891006,
0.09246746450662613,
-0.458504855632782,
0.131670743227005,
0.674893856048584,
0.7066275477409363,
0.6321214437484741,
-1.0121171474456787,
-0.08900037407875061,
-0.019266732037067413,
-1.0657176971435547,
... |
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... | The bunny spat out the carrots and nibbled on the beans instead because the _ were fresh . | 3 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.7480649948120117,
0.22880160808563232,
0.05906203016638756,
-0.1523132622241974,
0.6183846592903137,
-0.8348215818405151,
0.7906332015991211,
1.1146388053894043,
-0.6580912470817566,
-0.34835636615753174,
-0.5148802399635315,
0.19301214814186096,
-0.45535755157470703,
0.0392858162522316,... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
An emotional David Raven reflected on a 'dr... | (D) | 0 | NIv2 | task302_record_classification | zs_opt | [
0.6321281790733337,
0.8270317316055298,
-0.0851299911737442,
-0.6275937557220459,
-0.07052656263113022,
-0.5193072557449341,
0.5103914737701416,
0.3151002526283264,
0.3880075514316559,
-0.47731977701187134,
0.141437366604805,
0.5738722085952759,
-0.5709274411201477,
-0.007568117696791887,
... |
Detailed Instructions: In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information ... | Mary still loves to ice skate and can't wait to heal. | 9 | NIv2 | task071_abductivenli_answer_generation | zs_opt | [
-0.06570089608430862,
0.7541364431381226,
-0.14123092591762543,
-0.41227731108665466,
-0.1490655392408371,
-0.2506352961063385,
0.6575478315353394,
0.8237223029136658,
0.22481384873390198,
-0.0044950563460588455,
-0.6676301956176758,
0.12166139483451843,
-0.005331843625754118,
0.0452101118... |
Teacher:This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sen... | [['Guelph Gargoyles', 'PERCENTAGE', '484.62'], ['Guelph Gargoyles', 'POINTS_FOR', '63']] | 6 | NIv2 | task1410_dart_relationship_extraction | zs_opt | [
-0.4930850863456726,
0.27445828914642334,
-0.15884506702423096,
-0.8845583200454712,
-0.4619651436805725,
-0.0037457868456840515,
1.3869270086288452,
0.24616393446922302,
0.2880575954914093,
-0.739175021648407,
-0.8889434933662415,
-0.15750351548194885,
-0.32471808791160583,
0.303602516651... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Teacher: Now, understand the problem? Solve this instance: Jak się okazało, chodziło o to, że ciasta wymagały za mało wysiłku.
Student: | O que descubriron foi que se precisaba demasiado pouco esforzo. | 6 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
-0.09666018187999725,
0.9083727598190308,
0.12830162048339844,
-0.8974471092224121,
0.024742692708969116,
-1.0191960334777832,
0.3262348175048828,
0.6782797574996948,
-0.3448956608772278,
-0.411048948764801,
0.24319222569465637,
-0.010489977896213531,
-0.47137612104415894,
-0.1635693907737... |
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... | Peter was learning to play both ukulele and six string guitar, but the _ was very difficult to learn. | 4 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.6618038415908813,
0.3090975880622864,
0.11429186910390854,
-0.1847383677959442,
0.6013000011444092,
-0.7947865724563599,
0.8529214262962341,
1.0367344617843628,
-0.6078539490699768,
-0.39351993799209595,
-0.5585739612579346,
0.11619368195533752,
-0.6089586019515991,
0.06660035997629166,
... |
Detailed Instructions: In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem:Problem: find the smallest number which when divided by 11 and 12 leaves respective remainders of 2 and 3 .
Options: a ) 131 , b ) 197 , c ) 20... | a | 8 | NIv2 | task1420_mathqa_general | zs_opt | [
-0.16706717014312744,
0.5846073627471924,
-0.050544001162052155,
-0.7593368291854858,
-0.17414844036102295,
-0.5505527257919312,
0.9618741273880005,
0.5435471534729004,
-0.45502638816833496,
-0.11711878329515457,
-0.9673677682876587,
0.10037640482187271,
0.16609373688697815,
-0.15430319309... |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the pass... | Output: b
| 2 | NIv2 | task233_iirc_link_exists_classification | fs_opt | [
0.13066703081130981,
0.5763376951217651,
-0.27293527126312256,
-0.0035469122231006622,
-0.2827341854572296,
-0.3130601644515991,
1.1122877597808838,
0.9695339202880859,
-0.21105220913887024,
0.17524364590644836,
-0.24551916122436523,
0.6035994291305542,
-0.4154055118560791,
0.3229257762432... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Creo que ellos tienen solo una idea en su mente, la cual es; el lugar en el que vives en el mundo, no debería determinar si vives en el mundo.
A: | Uważam, że przyświeca im jedna myśl, taka, że to, gdzie żyjesz nie powinno determinować tego, czy żyjesz. | 7 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.6517177224159241,
1.0645912885665894,
-0.0007449343102052808,
-0.5402753353118896,
-0.24766162037849426,
-1.457067847251892,
0.7536396980285645,
-0.37311476469039917,
0.4140322208404541,
-0.3352576792240143,
-0.06455198675394058,
0.17171871662139893,
-0.43402838706970215,
-0.33813530206... |
You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating question.
One example i... | What was the name of the director for Baat Ban Jaye? | 9 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | fs_opt | [
1.0077900886535645,
0.4374885559082031,
-0.838368833065033,
0.06085030734539032,
-0.6082272529602051,
-0.2740585505962372,
0.42150959372520447,
0.7463963031768799,
-0.08975732326507568,
-0.07508154213428497,
0.17852868139743805,
0.5014705657958984,
-1.0072215795516968,
0.28785794973373413,... |
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 | 0 | NIv2 | task1210_atomic_classification_madeupof | zs_opt | [
0.4361659586429596,
0.5840026140213013,
0.04507266730070114,
0.22843241691589355,
-0.5523948073387146,
-0.9250797629356384,
0.678742527961731,
0.5950126051902771,
-0.762031614780426,
-0.072003573179245,
-0.3052838444709778,
-0.313355952501297,
-0.5025233030319214,
-0.1245400682091713,
0.... |
In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
سیمان (به فرانسوی: Ciment) مادهای چسبنده است که قابلیت چسبانیدن ذرات به یکدیگر و بهوجود آوردن جسم یکپارچه و محکم از ذرات متشکله را دارا میباشد و از ترکیب مصالح ... | لیبرال دموکراسی و اصول انتقادگرایی اجتماعی
| 0 | NIv2 | task395_persianqa_answer_generation | fs_opt | [
0.654228925704956,
0.5865988731384277,
-0.244705468416214,
0.08495130389928818,
0.4152584373950958,
-0.400004118680954,
0.13817256689071655,
1.4335687160491943,
0.2927764058113098,
0.9446803331375122,
-0.30161091685295105,
1.0263864994049072,
-0.6110628843307495,
0.3562207818031311,
-0.4... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Swedish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Swedish language. 2)... | Output: Jag har ofta hört honom berätta den historien.
| 2 | NIv2 | task1648_opus_books_en-sv_translation | fs_opt | [
0.07014453411102295,
0.9658116102218628,
0.07238686084747314,
-0.38713550567626953,
0.09853075444698334,
-0.8699720501899719,
0.923286497592926,
0.09210129827260971,
0.3788384199142456,
-0.5263651609420776,
-0.025200296193361282,
0.9913300275802612,
-1.0059678554534912,
-0.0837696194648742... |
In this task, you have to generate the title of the recipe given its required ingredients and directions.
One example is below.
Q: ingredients: '1 cup minced onion', '1 1/2 tablespoons lemon juice', '3/4 teaspoon Hungarian paprika', '3/4 teaspoon ground cayenne pepper', '1/4 teaspoon salt', <sep> directions: 'Rinse oni... | Four-Star Texas Chili | 9 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
0.9244848489761353,
0.11105599999427795,
-0.8183475732803345,
1.2965288162231445,
0.39023056626319885,
-0.8512027263641357,
0.8934670090675354,
1.167625904083252,
-0.4736176133155823,
-0.3594725728034973,
-0.03664379566907883,
0.007484288886189461,
-0.2822105586528778,
0.08440737426280975,... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
One example is below.
Q: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
A: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
Rationale: The Hebrew sentence... | مشكلة أخرى: نظم الأغذية غير الصحية والبطالة. | 9 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.48608118295669556,
0.6711792945861816,
0.02715003676712513,
-0.4744718670845032,
-0.8611629009246826,
0.05011463910341263,
1.0704281330108643,
0.20445218682289124,
0.059404294937849045,
-0.28349778056144714,
-1.0134891271591187,
-0.17531341314315796,
-1.0532748699188232,
0.1496702730655... |
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of log... | yes | 4 | NIv2 | task211_logic2text_classification | zs_opt | [
-0.07744266092777252,
-0.2633823752403259,
-0.2428186535835266,
0.31356358528137207,
0.4039819836616516,
-0.49223047494888306,
0.21496237814426422,
0.4909771978855133,
0.0931101143360138,
-0.02366556227207184,
-0.34374570846557617,
-0.05128805339336395,
0.3786585330963135,
0.34728205204010... |
Given the task definition, example input & output, solve the new input case.
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. P... | A | 1 | NIv2 | task385_socialiqa_incorrect_answer_generation | fs_opt | [
0.0757812038064003,
0.5121545195579529,
-0.3405410945415497,
0.8239493370056152,
0.35872817039489746,
-0.02187250554561615,
0.3228781819343567,
0.7427387833595276,
-0.4427209496498108,
0.29523491859436035,
-0.15003752708435059,
0.08774925768375397,
0.4516395330429077,
-0.9062575101852417,
... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Input: El papa Francisco ha marcado una gran diferencia en todo este asunto, visitado Tacloban en seguida después de eso.
Output: | 教皇フランシスコはこの問題を重大視して直後にタクロバンを訪問しています | 2 | NIv2 | task1227_ted_translation_es_ja | zs_opt | [
0.4222017228603363,
-0.2383357435464859,
-0.7640551924705505,
0.5670241117477417,
-0.43903106451034546,
-0.6916466355323792,
0.7291989922523499,
0.3162103295326233,
0.6042735576629639,
-0.4188087582588196,
0.05522477626800537,
0.5919157862663269,
-0.13260112702846527,
0.1995828002691269,
... |
In this task, you are given a question and a corresponding answer. Your task is to generate a fact statement that is useful in answering the given question.
Let me give you an example: Question: Frilled sharks and angler fish live far beneath the surface of the ocean, which is why they are known as? Answer: deep sea f... | if an object is blue then that object reflects only blue light | 8 | NIv2 | task1401_obqa_sentence_generation | fs_opt | [
-0.46302133798599243,
-0.3033708930015564,
-0.9341561794281006,
-0.38754647970199585,
-0.3991427719593048,
-0.01750265061855316,
0.35534822940826416,
0.027904585003852844,
-0.018640466034412384,
0.14274640381336212,
-0.20565861463546753,
0.2048727571964264,
-1.2215659618377686,
0.130967691... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Example Input: E se poden imaxinar esta área diminuta, é só unha cincuentava parte do tamaño da Lúa.
Example Output: و اگر بتوانید این قسمت کوچک را تصور کنید ، یک پنجاهم اندازه قرص ماه کامل است.
Example Input: Porén, unha... | چون در هند ما بالابرهای برقی پر زرق و برق نداریم تا ما را از پله ها بالا ببرد مثل کشورهای توسعه یافته.
| 3 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-0.46200716495513916,
1.00172758102417,
-0.3396497368812561,
-0.6588860750198364,
-0.33120840787887573,
-0.8652819395065308,
0.7604696154594421,
0.976746678352356,
-0.26229894161224365,
0.10320825129747391,
-1.2383755445480347,
0.40901562571525574,
-0.6528779864311218,
0.5732314586639404,
... |
You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
concept: United States answers: ['Pharmaceutical Preparations', 'Automobile', 'Petroleum', 'Clothing', 'Furniture'] | what are the major imports of the united states? | 0 | NIv2 | task1602_webquestion_question_genreation | zs_opt | [
0.26494234800338745,
0.43724626302719116,
0.026411816477775574,
0.027956563979387283,
-0.642103910446167,
-1.276037573814392,
0.39811843633651733,
0.5396484732627869,
0.3275986909866333,
0.13397642970085144,
-0.7725001573562622,
-0.04001705348491669,
-0.2047627866268158,
-0.161206513643264... |
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
One example: Está, sin duda, dentro de la línea de las posiciones que nuestro Parlamento siempre ha adoptado.
S... | Even the area designated by the Commissioners as a special protection area has been destroyed. | 6 | NIv2 | task531_europarl_es_en_translation | fs_opt | [
0.010271677747368813,
0.9544262886047363,
0.08734854310750961,
-0.11016442626714706,
0.21600016951560974,
-1.7144746780395508,
0.7359739542007446,
0.5296990871429443,
0.03228885680437088,
0.33436262607574463,
-0.19804304838180542,
0.6144786477088928,
-0.9605949521064758,
0.0457344464957714... |
Part 1. Definition
In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains ... | 1 | 7 | NIv2 | task1541_agnews_classification | fs_opt | [
-0.32422754168510437,
0.43408775329589844,
-0.2173328548669815,
0.32404863834381104,
-0.037839923053979874,
0.28710079193115234,
-0.3535572290420532,
0.30981528759002686,
-0.14544975757598877,
-0.16522227227687836,
-0.8069236278533936,
0.3661463260650635,
0.12202968448400497,
-0.5482881069... |
Teacher:In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M ... | C | 6 | NIv2 | task611_mutual_multi_turn_dialogue | zs_opt | [
-0.3020995259284973,
0.1328747570514679,
0.18693572282791138,
-0.8234745264053345,
0.4807698726654053,
0.03953922539949417,
0.5440667867660522,
0.7785553336143494,
0.5360107421875,
-0.4953378438949585,
-0.3587076961994171,
0.09259941428899765,
0.06758652627468109,
-0.17975908517837524,
0... |
Detailed Instructions: Translate from English to Hindi.
Q: If they say so?
A: | यदि वे ऐसा कहते हैं. | 9 | NIv2 | task1329_open_subtitles_en_hi_translation | zs_opt | [
0.433967649936676,
0.3485179543495178,
-0.0004385613137856126,
-0.025067385286092758,
0.13097529113292694,
-1.3912721872329712,
0.2166534811258316,
-0.2648128569126129,
0.008204066194593906,
0.03028201498091221,
0.8824477195739746,
-0.12302790582180023,
0.1896681934595108,
0.59736430644989... |
In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
[EX Q]: 1/4 cup plus 2 tablespoons olive oil, 1 medium yellow onion, finely chopped, 2 1/2 pounds mixed greens (such as rainbow chard, collards and spinach)... | pineapple, flour, sugar, Cheddar cheese, butter, crackers
| 6 | NIv2 | task570_recipe_nlg_ner_generation | fs_opt | [
0.01655493676662445,
-0.1849941909313202,
-0.672987163066864,
0.785014271736145,
-0.2709515392780304,
-0.23691017925739288,
1.3018198013305664,
1.2671003341674805,
-0.06997105479240417,
-0.030935093760490417,
0.3247376084327698,
0.0701073706150055,
-0.4797389805316925,
0.4259176254272461,
... |
TASK DEFINITION: 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... | Sentence 1: The man moved money from the safe into the wallet until the _ was empty.
Answer1: safe.
Sentence 2: The man moved money from the safe into the wallet until the _ was full.
Answer2: wallet.
| 8 | NIv2 | task029_winogrande_full_object | fs_opt | [
0.49615758657455444,
0.17272356152534485,
-0.04472479596734047,
-0.26320135593414307,
0.8688496351242065,
-0.6958611607551575,
0.5952679514884949,
1.1581727266311646,
-0.5645222663879395,
-0.26341375708580017,
-0.30866777896881104,
0.12501896917819977,
-0.5356866717338562,
-0.0795097872614... |
Instructions: Determine whether the two given sentences clearly agree with each other (entailment), disagree with each other (contradiction), or if this cannot be determined (neutral). Answer must be the letters E, C, and N, respectively.
Input: A brown dog persues a Frisbee across the grass as the thrower watches. <se... | E | 3 | NIv2 | task641_esnli_classification | zs_opt | [
0.18578505516052246,
0.5225147604942322,
-0.34799855947494507,
-0.0545126274228096,
-0.28747880458831787,
-1.0236477851867676,
0.07690839469432831,
-0.07115479558706284,
0.5827617645263672,
-0.14407140016555786,
-0.3518739938735962,
-0.12560296058654785,
-0.18497222661972046,
-0.4761697649... |
This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentioned i... | Output: What are the second and third most populated megalopolis after Southern California?
| 2 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
0.0840437114238739,
0.9506313800811768,
-0.5039145946502686,
0.6821819543838501,
-0.0037790783680975437,
0.24069525301456451,
0.6311224699020386,
0.8234860897064209,
0.1613013595342636,
0.3931436240673065,
-0.44587773084640503,
1.092632532119751,
-0.3224049210548401,
-0.04790351912379265,
... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Problem:לא ידעתי מה המשמעות של האחדות והאפסים האלה.
Solution: | No sabía qué significaban estos unos y ceros. | 8 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
0.30533427000045776,
0.44938164949417114,
-0.2943982481956482,
-0.0454937219619751,
-0.5171158313751221,
-0.5398477911949158,
1.04977285861969,
0.0065532554872334,
0.9364188313484192,
-0.8738664984703064,
-0.9554250836372375,
-0.0775580182671547,
-0.5717580318450928,
0.36061805486679077,
... |
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 be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. ... | Palm Beach County Florida | 0 | NIv2 | task303_record_incorrect_answer_generation | fs_opt | [
-0.2100120633840561,
0.7892929911613464,
-0.3527317941188812,
0.1506895273923874,
-0.20816388726234436,
0.1942034363746643,
-0.21035291254520416,
0.7679492235183716,
-0.4093470573425293,
0.5934290885925293,
0.3615223467350006,
0.30063003301620483,
-0.798967719078064,
0.37669068574905396,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Q: 彼女が卵を守り ３か月もすれば遂に卵が孵化します
A: | So, she protects her eggs, and after three months, the babies finally do hatch out. | 4 | NIv2 | task1222_ted_translation_ja_en | zs_opt | [
-0.0487867072224617,
0.3747130036354065,
-0.305698424577713,
-0.3592221140861511,
-0.4338507354259491,
-0.6035110354423523,
-0.464351087808609,
-0.17379848659038544,
-0.6482628583908081,
-0.3002423048019409,
0.6143916249275208,
0.7706376314163208,
-1.146654486656189,
0.3850424587726593,
... |
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.
A newsl... | A mirror can like a laser . | 0 | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt | [
-0.888448178768158,
0.8394168615341187,
0.15847551822662354,
0.11036982387304306,
-0.19057953357696533,
-0.3400561213493347,
0.5423524379730225,
0.5895599126815796,
0.20136286318302155,
-0.2882443964481354,
-0.9987804293632507,
-0.012200942263007164,
-0.738002359867096,
0.4497581720352173,... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Q: ['1867', '5301', 'x', '3867', '8707', '2429', 'K', '59', '6629', 'v', 'A', 'y', 'P', '3829', '1979', 'R', '8481', '5767', 'h', 'U']
A: 48915
****
Q: ['4271', 'N', 'M', '5239', '7037'... | 9970
****
| 4 | NIv2 | task499_extract_and_add_all_numbers_from_list | fs_opt | [
-0.40246155858039856,
0.46351510286331177,
-0.6278575658798218,
-0.783514142036438,
-0.11257347464561462,
-0.36603885889053345,
0.30330005288124084,
-0.18333911895751953,
0.1419925093650818,
0.1597684919834137,
-0.941143274307251,
0.24295102059841156,
0.054889123886823654,
0.05790670588612... |
A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
Example input: இந்த ஒப்பந்தம் 2019, ஜனவரி மாதத்தில் டென்மார்க்கிலிருந்து இந்தியாவிற்கு வருகை தரவுள்ள மிக முக்கிய பிரமுகரின் வருகையின்போது கையெழுதிடப்பட உள... | আমি আপনাদের আরেকবার উন্নত স্বাস্থ্যের কামনা করে আন্তর্জাতিক যোগ দিবস উপলক্ষে অনেক অনেক শুভেচ্ছা জানাই। | 3 | NIv2 | task982_pib_translation_tamil_bengali | fs_opt | [
-0.30509406328201294,
0.9076682329177856,
-0.32483622431755066,
0.2049884796142578,
0.2613351345062256,
-0.9497777223587036,
-0.5865801572799683,
-0.317147433757782,
-0.46718230843544006,
-0.24112346768379211,
0.12079299986362457,
0.43728816509246826,
0.01768202893435955,
0.390361785888671... |
Teacher: 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".
Teacher: Now, understand the problem? If you are still confused, see the following example:
Timothy li... | Yes | 2 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.9530229568481445,
0.09589643776416779,
-0.1048484668135643,
-0.20120364427566528,
0.2722594141960144,
-0.2670441269874573,
0.9996261596679688,
1.3265762329101562,
-0.03281484171748161,
-0.09124365448951721,
-0.08913971483707428,
0.4100711941719055,
-0.7526379227638245,
-0.008941650390625... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
I have... | False | 0 | NIv2 | task587_amazonfood_polarity_correction_classification | fs_opt | [
-0.19727876782417297,
-0.649635910987854,
0.07005190849304199,
0.6074650883674622,
0.46391284465789795,
0.1027781292796135,
0.6868879795074463,
0.5123485326766968,
-0.429264634847641,
-0.39081835746765137,
-0.3838532567024231,
-0.1505393534898758,
-0.4038503170013428,
-0.3607954978942871,
... |
Detailed Instructions: In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, ... | Non-hateful | 9 | NIv2 | task334_hateeval_classification_hate_es | zs_opt | [
-0.6186608672142029,
-0.06573890894651413,
0.33979713916778564,
1.0924603939056396,
0.19800902903079987,
-1.1782877445220947,
0.4815696179866791,
1.9342471361160278,
-0.18265396356582642,
0.3084025979042053,
0.19951999187469482,
0.4836902916431427,
-0.4196961224079132,
-0.9565638303756714,... |
Teacher:In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You... | No | 6 | NIv2 | task1198_atomic_classification_owant | zs_opt | [
-0.0016149119473993778,
0.15572109818458557,
0.4478280544281006,
-0.26482683420181274,
-0.39829421043395996,
-0.890521764755249,
1.3137470483779907,
0.06040032580494881,
-0.6107621192932129,
-0.6576110124588013,
-0.10213521122932434,
-0.4573952555656433,
-0.5751535892486572,
0.320757567882... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Arabic.
You can see here, again, taken from Al Gore's book.
A: | يمكنم أن تروا هنا ، مرة أخرى ، أُخذت من كتاب آل غور — | 7 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
-0.6817549467086792,
0.9164251685142517,
0.46693316102027893,
-0.636073648929596,
0.08460056781768799,
-0.301205039024353,
0.9458944797515869,
-0.07633354514837265,
0.19890707731246948,
0.29866692423820496,
-0.0053657591342926025,
-0.3040480613708496,
-0.8171476721763611,
0.422211915254592... |
Teacher: In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Teacher: Now, understand the problem? If you are still c... | 6771, q, v, 9679 | 2 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
0.03464706242084503,
0.07089623808860779,
-0.6383606195449829,
-0.7264693975448608,
-0.44307786226272583,
0.27961644530296326,
0.6018932461738586,
-0.2046075165271759,
-0.3125547766685486,
-0.3168954849243164,
-0.23893937468528748,
-0.15705661475658417,
-0.15942303836345673,
0.021475687623... |
In this task, You are given an amazon review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False"
Q: Review: A key on my laptop keyboard was no longer functional and after trying (and failing) to get it to work, I decided to g... | False | 4 | NIv2 | task1313_amazonreview_polarity_classification | zs_opt | [
-0.0873548835515976,
-0.08320558071136475,
0.0942920446395874,
-0.6106685400009155,
0.1981995403766632,
-0.3987993001937866,
1.024519681930542,
0.10482332855463028,
0.8839113712310791,
0.34581971168518066,
0.1872444748878479,
0.17602656781673431,
-0.11037644743919373,
-0.45900842547416687,... |
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the auth... | yes
| 3 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
0.09355926513671875,
0.15005093812942505,
0.35034996271133423,
-0.25522828102111816,
0.29230374097824097,
-0.8568846583366394,
0.8386833667755127,
1.3027169704437256,
-0.5168298482894897,
-0.23209664225578308,
-0.15388411283493042,
0.4987114667892456,
-0.18770933151245117,
0.02735859528183... |
Definition: 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.
Input: ... | [27, 65, -27, -9, -26, -33] | 2 | NIv2 | task207_max_element_lists | zs_opt | [
0.14540505409240723,
-0.12397757172584534,
-0.9848884344100952,
0.3080834746360779,
0.3266444802284241,
-0.10560429096221924,
0.5612106919288635,
-0.01822391152381897,
0.13200609385967255,
0.0983276516199112,
-0.9637876749038696,
0.04244810342788696,
-0.1406255066394806,
0.0627663880586624... |
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... | No | 9 | NIv2 | task1215_atomic_classification_capableof | fs_opt | [
0.5246204733848572,
0.43433260917663574,
0.4039778709411621,
0.26794272661209106,
-0.32363075017929077,
-0.948961079120636,
0.9396608471870422,
0.9223853349685669,
-0.32158976793289185,
-0.3481833040714264,
-0.6995259523391724,
0.1575198471546173,
-0.6522029042243958,
0.23621879518032074,
... |
A text is given in English. Translate it from the English language to the Hindi language. The translation must not omit or add information to the original sentence.
Example Input: the villages, the farmers, the labourers, the teachers, the students joined this movement with the slogan Do or die. Bapu even used to say ... | यह बताया गया था कि एनएसएस यह सर्वे सेवा क्षेत्र के वार्षिक सर्वे किये जाने के समय उभरने वाली चुनौतियों को समझने के लिए करता है।
| 3 | NIv2 | task1023_pib_translation_english_hindi | fs_opt | [
0.5963541865348816,
-0.04103095084428787,
0.6083710193634033,
0.030422545969486237,
0.008893070742487907,
-1.3176922798156738,
0.031907789409160614,
0.9535132050514221,
-0.7904099822044373,
0.10593991726636887,
-0.1998693197965622,
0.05659857392311096,
0.10333363711833954,
-0.3950347900390... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
[EX Q]: Se ci pensate, rimuovete il mito e c'è ancora qualcosa di meraviglioso.
[EX A]: Si lo piensan de verdad, si retiran los mitos, aun así hay algo maravilloso.
[EX Q]: Maxine Greene, che è una filosofa fantastica ed ... | Mi único problema con esto es su aparente antropocentrismo.
| 6 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-1.2303779125213623,
-0.26600316166877747,
-0.6987950801849365,
-0.15849657356739044,
-0.5806634426116943,
-1.1849141120910645,
0.06025879830121994,
1.077614188194275,
0.20405709743499756,
-0.42475536465644836,
-0.5231178402900696,
0.01602942869067192,
-0.5761942863464355,
0.08939608931541... |
Teacher:In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Teacher: Now, understand the problem? Solve this instance: This multi-purpose arena , located in a county named after a native American tribe that is also... | exhibit space | 6 | NIv2 | task344_hybridqa_answer_generation | zs_opt | [
1.1331253051757812,
0.47935357689857483,
-0.6494331359863281,
-0.11531609296798706,
-0.4556426405906677,
-0.59515380859375,
0.30154597759246826,
-0.5651124119758606,
-0.19987063109874725,
-1.2607234716415405,
-0.16513977944850922,
0.6680313944816589,
-0.6667615175247192,
0.0772493556141853... |
Teacher:You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Teacher: Now, understand the problem? Solve this instance: Achary... | The Acharya Institute of Technology has the official school colours of blue, white and orange and has the Outlook Ranking of 63. | 6 | NIv2 | task1728_web_nlg_data_to_text | zs_opt | [
-0.7383509874343872,
-0.11712045967578888,
0.26892855763435364,
-1.025498628616333,
-0.5085275173187256,
-0.14429184794425964,
0.4200502038002014,
0.23308204114437103,
-0.03458450734615326,
0.23325112462043762,
-0.3007771968841553,
0.17047423124313354,
-0.07485033571720123,
-0.275245219469... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the f... | 5 | 2 | NIv2 | task861_asdiv_addsub_question_answering | fs_opt | [
0.05704677104949951,
-0.09043170511722565,
-0.04429790750145912,
-0.1984155923128128,
-0.33729612827301025,
-0.2566986083984375,
0.5011875033378601,
0.5160251259803772,
-0.29805272817611694,
-0.330872505903244,
-0.3102051317691803,
-0.5250738859176636,
-0.1678941547870636,
-0.3269854187965... |
You are given a list of queries separated by new line. Your job is to answer with the query that is the most well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Q: Tennis is court as boxing to ?
When was soulja boy boarn ?
Substances can be classified as or compounds ?
How do yo... | What is the prayer of blessing and adoration ?
****
| 4 | NIv2 | task675_google_wellformed_query_sentence_generation | fs_opt | [
0.21281391382217407,
0.6254168748855591,
-0.21350160241127014,
-0.10408717393875122,
-0.28177163004875183,
-0.26634034514427185,
0.6309554576873779,
-0.35526955127716064,
0.2615033984184265,
-0.22153449058532715,
0.03483361005783081,
0.2881893813610077,
-0.8319617509841919,
0.2239728569984... |
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
Q: name something kids look forward to
A: | vacation | 4 | NIv2 | task820_protoqa_answer_generation | zs_opt | [
-0.022021081298589706,
0.9358799457550049,
-0.312136173248291,
-0.43023544549942017,
-0.9705425500869751,
-0.7112593054771423,
0.4388393759727478,
0.32116249203681946,
0.5673710107803345,
-0.2257274091243744,
0.3951996862888336,
0.7754960060119629,
-0.6299348473548889,
-0.1126311719417572,... |
You are given a science question (hard-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct ... | A | 9 | NIv2 | task229_arc_answer_generation_hard | fs_opt | [
0.6211318373680115,
0.18013757467269897,
-0.7950493693351746,
0.6975719928741455,
-0.5222618579864502,
-0.8493183255195618,
0.45487672090530396,
1.1058070659637451,
-0.1908453404903412,
0.3184308111667633,
-0.23575057089328766,
0.6319898962974548,
0.09807320684194565,
0.22087043523788452,
... |
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 serve as the building ... | walk left thrice and run twice | 3 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.32779359817504883,
0.7937301397323608,
-0.3884998559951782,
0.1357707679271698,
-0.12799301743507385,
0.4182031750679016,
-0.08611418306827545,
0.8800086975097656,
-0.5790711641311646,
-0.14846940338611603,
-0.7844861745834351,
-0.43371111154556274,
-0.670717716217041,
-0.177334830164909... |
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: A Drive to the Hospital. Sentence 1: I needed to ta... | I poured the drink on the ground and drunk water.
| 0 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
0.040192071348428726,
0.31572628021240234,
-0.15841351449489594,
-0.9319640398025513,
0.12172926962375641,
-0.22247347235679626,
0.6110445857048035,
0.5063579678535461,
0.3635990619659424,
-0.3706379234790802,
-0.3696114718914032,
0.11131294071674347,
-0.3027653098106384,
-0.33289122581481... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Q: السعة الموجية والطاقة ومجموعة عمليات واسعة التعدد التي ستشتغل
A: | Przepustowość i moc, i szeroki zakres procesów, które będą zachodziły. | 9 | NIv2 | task1107_ted_translation_ar_pl | zs_opt | [
0.1950598955154419,
0.7864161729812622,
-0.6261310577392578,
-0.6319661736488342,
-0.7439397573471069,
-0.6148431301116943,
0.579391360282898,
-0.3208746910095215,
0.39616167545318604,
-0.6602286696434021,
-0.04728611558675766,
0.1560385525226593,
0.20084138214588165,
-0.11115964502096176,... |
Detailed Instructions: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and t... | 1a, 3b | 4 | NIv2 | task222_rocstories_two_chioce_slotting_classification | fs_opt | [
-0.05129130557179451,
-0.1437281221151352,
-0.08504218608140945,
0.6211217641830444,
0.23990313708782196,
0.1529848277568817,
0.42795541882514954,
1.1113752126693726,
-0.34558987617492676,
-0.14531728625297546,
-0.6397278308868408,
0.04549635574221611,
0.41519004106521606,
-0.1090583354234... |
instruction:
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
question:
My dad doesn't even have an Indian accent anymore.
answer:
לאבי אין אפילו כבר את המבטא ההודי.
question:
And I wanted to know more.
answer:
ורציתי לדעת עוד.
question:
I'm going to talk to you about ... | אני הולך לדבר איתכם על כח במאה ה-21.
| 9 | NIv2 | task1221_ted_translation_en_he | fs_opt | [
-0.3393028974533081,
0.48124414682388306,
0.3692723214626312,
-0.009447700344026089,
-1.054994821548462,
-0.40842199325561523,
1.2144787311553955,
0.46381598711013794,
1.0300955772399902,
-1.1229736804962158,
-0.5042914152145386,
0.47688496112823486,
-1.0862388610839844,
-0.265604853630065... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Q: そのような大きな変化によって皆さんの孫やひ孫は皆さんとは大きく異なる種となるかもしれません
A: | To tak poważna zmiana, że wasze wnuki lub prawnuki mogą być już zupełnie innym gatunkiem. | 4 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
-0.020213846117258072,
0.5382639169692993,
-0.2648588716983795,
-0.10465070605278015,
-0.5005584955215454,
-0.5342671275138855,
0.6707680225372314,
-0.0671386867761612,
0.45703667402267456,
-1.235755205154419,
0.4404200315475464,
0.9625938534736633,
-0.9475924968719482,
0.35143429040908813... |
In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generally about a person.... | No | 6 | NIv2 | task632_dbpedia_14_classification | fs_opt | [
0.168844074010849,
0.19133013486862183,
-0.009382592514157295,
0.021571500226855278,
0.13526472449302673,
-0.5042085647583008,
1.3842990398406982,
0.26783615350723267,
-0.670169472694397,
-0.3681126832962036,
0.03813061863183975,
0.5460787415504456,
-0.5486805438995361,
0.2748422622680664,... |
TASK DEFINITION: In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.
PROBLEM: Is it technical?
SOLUTION: Y has just told X tha... | Y has just moved into a neighbourhood and meets his/her new neighbour X.
| 8 | NIv2 | task567_circa_text_generation | fs_opt | [
0.08175938576459885,
0.6006886959075928,
-0.5474804639816284,
0.48290809988975525,
0.4752773940563202,
0.25598272681236267,
0.48516595363616943,
0.7848324179649353,
0.611870288848877,
-0.18291182816028595,
-0.7148411273956299,
0.029174918308854103,
-0.3193095326423645,
0.028661277145147324... |
Teacher:In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Teacher: Now, understand the problem? Solve this instance: ... | no | 6 | NIv2 | task285_imdb_answer_generation | zs_opt | [
0.3150135278701782,
0.43302106857299805,
0.011279957368969917,
0.13734197616577148,
0.5892690420150757,
-0.32176655530929565,
0.7943634986877441,
1.1577887535095215,
0.2712754011154175,
0.12247011810541153,
0.09049587696790695,
0.12084470689296722,
-0.5726088285446167,
0.5989813208580017,
... |
Teacher: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Grazas.
Solution: Gracias.
Reason: The Galician sentence is correctly translated into Spanish, because the meaning is pr... | "" Russ "", dijo, "" He creado un clasificador que examina los efectos secundarios de una medicina explorando esta base de datos, y puede mostrar si es probable que esa medicina cambie o no la glucosa "". Él lo hizo. En un sentido, era sencillo. | 2 | NIv2 | task1240_ted_translation_gl_es | fs_opt | [
-0.8197554349899292,
0.43826019763946533,
0.22799940407276154,
-0.8955787420272827,
0.018763594329357147,
-1.6491496562957764,
0.5421198606491089,
0.9974591732025146,
0.1865837275981903,
-0.21745434403419495,
-0.7632322311401367,
0.3956672251224518,
-0.6395989060401917,
-0.1023304015398025... |
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: Cat Food. Sentence 1: The cat was purring. Sentence... | It was very helpful. | 0 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.4260682463645935,
1.4065356254577637,
0.4766909182071686,
-0.07182109355926514,
-0.28879106044769287,
-0.18256603181362152,
0.22356492280960083,
0.5521791577339172,
-0.35001906752586365,
-0.4198213219642639,
-0.1288992166519165,
-0.5450704097747803,
-0.5527756214141846,
0.39023661613464... |
instruction:
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
question:
Reviews: Did not work and 1 was broke... | True
| 9 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.5255616903305054,
0.307858407497406,
0.12931931018829346,
-0.3025338053703308,
-0.18734371662139893,
-0.4621794819831848,
0.4844653606414795,
0.7544596791267395,
-0.5813369750976562,
0.4456952214241028,
-0.5772300958633423,
-0.11566577851772308,
-0.955424427986145,
-0.09185810387134552,... |
Teacher: In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the co... | False | 2 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.1271783858537674,
0.11932099610567093,
-0.10168110579252243,
0.2733091711997986,
-0.5520813465118408,
-0.7191228270530701,
0.8015741109848022,
0.1986059844493866,
0.11790189146995544,
0.24438133835792542,
-0.4772516191005707,
0.15653905272483826,
-0.19611185789108276,
0.0675763487815857... |
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.
Problem:Category: aesthetic characteristic
Words: honorable, cool, fair, texture, even
Solution: | honorable | 8 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
-0.2265111207962036,
0.7252878546714783,
0.5819234848022461,
-0.42100846767425537,
-0.055192507803440094,
-1.0322778224945068,
-0.3861236572265625,
-0.07429002970457077,
-0.00748224463313818,
-0.2199627161026001,
-0.04027252644300461,
0.4642026424407959,
-0.7612833380699158,
0.080124169588... |
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