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 |
|---|---|---|---|---|---|---|
Teacher:In this task, given a sentence in the English language, your task is to convert it into the Khmer language.
Teacher: Now, understand the problem? Solve this instance: He received $59 million for his performance in the position.
Student: | គាត់បានទទួលប្រាក់ចំនួន $59 លាន ចំពោះការបំពេញការងារក្នុងតួនាទីរបស់គាត់។ | 6 | NIv2 | task555_alt_translation_en_kh | zs_opt | [
0.09101338684558868,
-0.19030964374542236,
0.4662453234195709,
-1.315773367881775,
-0.05162228271365166,
-0.19814631342887878,
-0.2417125403881073,
0.31474271416664124,
0.3447178900241852,
-0.5642833709716797,
0.29868805408477783,
0.12449046224355698,
-0.7181124091148376,
-0.15611305832862... |
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. For ... | concerned | 0 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
0.05410686135292053,
0.09954367578029633,
0.365445613861084,
-0.16871565580368042,
0.016922272741794586,
0.07120262086391449,
0.8474100828170776,
0.4630774259567261,
0.1050502359867096,
-0.005224722437560558,
0.1368241161108017,
-0.4371132552623749,
-0.6381618976593018,
0.2637487053871155,... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Example input: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
Example output: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
Example explanation: The A... | [מחיאות כפיים] לוק, לפני הלילה האחרון, מתי ראית את טוני בפעם האחרונה? | 3 | NIv2 | task1233_ted_translation_ar_he | fs_opt | [
-0.9438750743865967,
0.9867367148399353,
0.4572547674179077,
-0.5075758695602417,
-0.8375184535980225,
-0.035606224089860916,
0.857696533203125,
-0.5227817296981812,
0.34843945503234863,
-0.48908862471580505,
-0.43469882011413574,
0.49061453342437744,
-0.8560774922370911,
0.299797773361206... |
Detailed Instructions: 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 rearran... | What determines the seasons on Earth? | 8 | NIv2 | task040_qasc_question_generation | zs_opt | [
0.6226281523704529,
1.0473337173461914,
-0.17847734689712524,
-0.09020008891820908,
-0.8640315532684326,
-1.072062611579895,
0.5913589000701904,
0.5231776833534241,
0.07057102769613266,
-0.3966100811958313,
-1.4334243535995483,
-0.17979204654693604,
-0.5322092771530151,
0.41001659631729126... |
In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as... | Non-hateful | 3 | NIv2 | task333_hateeval_classification_hate_en | fs_opt | [
-0.49029117822647095,
0.0404253825545311,
0.48549121618270874,
0.9572886228561401,
0.2270580530166626,
-1.0905117988586426,
0.5040948390960693,
1.2838932275772095,
0.35405847430229187,
0.36075764894485474,
0.2248411625623703,
-0.0585760772228241,
-0.35985541343688965,
-0.7900299429893494,
... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
One example is below.
Q: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
A: 第一にキリバス共和国が彼ら自身の利益になると理解したからです
Rationale: The English sentence is correctly translated into Ja... | たぶん子供の頃にあの事故を見たからでしょう | 9 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
1.084008812904358,
0.4500264823436737,
-0.21716615557670593,
-0.5189921855926514,
-0.4423609972000122,
-0.8400485515594482,
0.871769905090332,
-0.33676275610923767,
0.677668035030365,
-0.32180309295654297,
-0.11160780489444733,
0.14118707180023193,
-0.9558833837509155,
0.5513912439346313,
... |
This task is about translating a given English language sentence to French.
Right? | Vrai ? | 0 | NIv2 | task1689_qed_amara_translation | zs_opt | [
-0.38591161370277405,
0.7662317752838135,
0.3279062807559967,
-0.29724815487861633,
0.07268951833248138,
-0.17342978715896606,
0.5716659426689148,
-0.40046364068984985,
0.17289403080940247,
-0.36914771795272827,
-0.5739358067512512,
-0.16125306487083435,
-0.08591239899396896,
0.01146858092... |
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.
2 (3 oz.) boxes orange jello, 1 large can crushed pineapple, 1 can mandarin orange slices, 1 (8 oz.) pkg. cream cheese, softened, 2 c. miniature marshmallow... | orange jello, pineapple, orange slices, cream cheese, marshmallows, white grapes | 0 | NIv2 | task570_recipe_nlg_ner_generation | zs_opt | [
-0.6852391362190247,
0.6221253871917725,
0.5312848687171936,
0.310696542263031,
-0.11622796207666397,
0.02865888737142086,
0.9837000370025635,
0.3249702453613281,
-0.6826945543289185,
-0.2822275161743164,
0.4661409258842468,
-0.6882340312004089,
-1.0734028816223145,
-0.18241766095161438,
... |
Q: The task is to generate the correct answer for a given math problem.
Problem: a is twice as good a work man as b and together they finish the work in 4 days . in how many days a alone can finish the work ?
A: | 7 | NIv2 | task1726_mathqa_correct_answer_generation | zs_opt | [
0.356090247631073,
2.3456552028656006,
0.18179951608181,
-0.399294376373291,
0.08204469829797745,
-0.08838602900505066,
-0.4005472660064697,
0.030953776091337204,
0.11974186450242996,
-0.004539667163044214,
-0.20312687754631042,
0.15886054933071136,
1.308964729309082,
-0.7332695722579956,
... | |
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.
--------
Question: Papillary thyroid carcinoma (PTC) is the most common endocrine malignancy. It has b... | 1
| 7 | NIv2 | task848_pubmedqa_classification | fs_opt | [
0.827625572681427,
-0.2013251930475235,
-0.2771870493888855,
0.6957711577415466,
1.1394696235656738,
-0.9100376963615417,
0.5503685474395752,
0.8148760199546814,
0.3306594491004944,
0.35424673557281494,
-0.9410895109176636,
-0.06315074115991592,
-0.862851619720459,
0.1718050241470337,
-0... |
Instructions: You will be given a review about a book, an item, a place or a movie. After that, a question is given that you should answer using a certain span of the review. Your answer should be from the review itself and should not contain extra words, and should not be a combination of different spans. If there's n... | The patio , service , cocktails , and variety of delicious taco | 3 | NIv2 | task144_subjqa_question_answering | zs_opt | [
-0.29476678371429443,
0.11823765933513641,
-0.14617374539375305,
-0.3668290376663208,
0.2488403171300888,
-0.6446579694747925,
0.32702478766441345,
0.2766249477863312,
0.10574617236852646,
0.6799134016036987,
0.7845954895019531,
-0.34307724237442017,
-0.9008023738861084,
-0.111519642174243... |
Teacher:In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have t... | Yes | 6 | NIv2 | task1210_atomic_classification_madeupof | zs_opt | [
0.28875088691711426,
0.16524669528007507,
0.48417937755584717,
-0.07145781815052032,
-0.5091869831085205,
-0.4071663022041321,
1.285048007965088,
0.4591796100139618,
-0.64002525806427,
-0.4405273497104645,
-0.3272274136543274,
-0.5157623291015625,
-0.43910783529281616,
0.47759440541267395,... |
Q: 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 concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less tha... | Ugd5178685VV | 7 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.4236754775047302,
0.19970154762268066,
-0.19561485946178436,
-0.7529939413070679,
0.058138854801654816,
-0.24339254200458527,
0.4574459493160248,
-0.4283030033111572,
-0.20265349745750427,
0.06780123710632324,
-0.8760998249053955,
0.3650442361831665,
-0.039167359471321106,
0.01182969938... |
Given the task definition and input, reply with output. 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 label... | No emotion,No emotion,No emotion,No emotion | 5 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
-0.7701365947723389,
0.5802935361862183,
0.1767728328704834,
-0.22185978293418884,
0.06307309120893478,
0.02361013926565647,
0.6893160939216614,
-0.3847857415676117,
0.04826565831899643,
-0.5913547277450562,
-0.39880281686782837,
-0.32498055696487427,
-0.5706900954246521,
0.877653241157531... |
Detailed Instructions: The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in... | gay mudshark | 8 | NIv2 | task1504_hatexplain_answer_generation | zs_opt | [
-0.8896903395652771,
0.7898024320602417,
0.12319354712963104,
0.10129751265048981,
-0.3934039771556854,
-0.3829355537891388,
0.11633612215518951,
0.2695556879043579,
0.2972291111946106,
-0.2142881453037262,
-0.19304288923740387,
0.3784196376800537,
-0.5244666337966919,
-0.5872505903244019,... |
Teacher: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? If you are still confused,... | Whether he was gazing at the snow-capped Himalayas or sweltering in the heat and dust of the plains , the poems poured forth . | 2 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
-0.0443200021982193,
-0.19721698760986328,
0.4288329780101776,
-0.46437960863113403,
0.07912766188383102,
-1.2092041969299316,
-0.18925556540489197,
1.06264328956604,
-0.09695897251367569,
-0.5474504828453064,
-0.6044642925262451,
-0.6566041707992554,
-0.5654584169387817,
-0.32710450887680... |
Two analogies that signify affordances are given in the form "A : B. C : ?". Affordance is the possibility of an action being done on an object, for example book is an affordance of writing. The phrase "A : B" implies that B is an affordance of A. Your task is to replace the question mark (?) with the appropriate affor... | enemy
| 3 | NIv2 | task1153_bard_analogical_reasoning_affordance | fs_opt | [
0.09424203634262085,
0.9876881241798401,
-0.3507571220397949,
0.5948501825332642,
0.018176060169935226,
-0.22653363645076752,
1.0313048362731934,
0.6828637719154358,
0.23236341774463654,
-0.21613700687885284,
-0.3809918761253357,
0.07131942361593246,
-0.3359990119934082,
-0.378699839115142... |
Given a sentence in Italian, generate a new Italian 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 b... | Un esploratore può inviare una mappa a un negozio via email. | 8 | NIv2 | task408_mickey_it_sentence_perturbation_generation | fs_opt | [
0.01206320058554411,
0.05796418339014053,
-0.0716572105884552,
0.41628164052963257,
-0.18042844533920288,
-0.7693611979484558,
0.18920180201530457,
0.9939035773277283,
-0.17683517932891846,
-0.24735890328884125,
-0.519239068031311,
0.23068273067474365,
-0.4827800989151001,
-0.0745882615447... |
Q: Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 報道管制はアフガニスタンでの軍務の間、王室の危険性を低減するために行われ、この種の初めての大規模な合意だった。
Lao: ການສຳຫຼວດ ຄະແນນນະໂຍບາຍພັກລັດ (PPP) ໃນປ... | No | 7 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-1.3588892221450806,
-0.0861942321062088,
0.0497032031416893,
0.24453380703926086,
-0.018826205283403397,
-0.21651729941368103,
0.8130847215652466,
0.8562287092208862,
-0.04329606890678406,
0.07740318775177002,
-0.7074019908905029,
0.32449859380722046,
-0.6890045404434204,
0.35760909318923... |
Given the task definition and input, reply with output. The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
Topic: Assisted suicid... | True | 5 | NIv2 | task1285_kpa_keypoint_matching | zs_opt | [
-0.16709305346012115,
0.9868164658546448,
0.08020594716072083,
-0.12788398563861847,
-0.7149991989135742,
-0.20466870069503784,
0.35931217670440674,
0.17870473861694336,
0.24789954721927643,
0.19129693508148193,
-0.43015024065971375,
0.24351000785827637,
-0.3068966269493103,
-0.00000673701... |
Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Input: Osobną kwestią jest to, że kochamy baterie.
Output: | والشي الأخر هو ، أننا نحب البطاريات | 3 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
0.36530518531799316,
0.6795123815536499,
-0.6339589357376099,
-0.4089306592941284,
-0.45113110542297363,
-0.6119402647018433,
1.614590048789978,
-0.45767104625701904,
0.4469144940376282,
0.17666901648044586,
-0.5868841409683228,
0.23804646730422974,
-0.5909253358840942,
0.23037055134773254... |
In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
Good morning and happy Tuesday! I hope you have a terrific day! Enjoy it tons 😃 | Not angry | 0 | NIv2 | task397_semeval_2018_task1_tweet_anger_detection | zs_opt | [
-1.1782015562057495,
0.25776711106300354,
0.9943738579750061,
-0.014209293760359287,
-0.12578436732292175,
-0.8819454312324524,
0.15574023127555847,
-0.03359687328338623,
0.08918314427137375,
0.3419460952281952,
-0.07687336951494217,
-0.47156381607055664,
-0.39500826597213745,
-0.239443331... |
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. Fo... | [['8', 'b', 'p', 'I', '5'], ['8', 'b', 'p', 'I', '5'], ['8', 'b', 'p', '5', '5'], ['8', 'b', 'I', '5', '5'], ['8', 'p', 'I', '5', '5'], ['b', 'p', 'I', '5', '5']]
| 7 | NIv2 | task208_combinations_of_list | fs_opt | [
0.09185124933719635,
0.22792550921440125,
-0.6773203611373901,
0.392341285943985,
0.6925439834594727,
-0.7042067050933838,
0.5018389821052551,
0.9214684963226318,
-0.04719184339046478,
-0.014279762282967567,
-0.5773205757141113,
-0.09789902716875076,
-0.19531182944774628,
-0.12386780977249... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
2, ['7321', 'S', 'n', 'W', 'i', '2975', '635', '1273', '1135', 'Z']
n, W, i, 2975, 635, 1273, 1135, Z
5, ['p', 'P'... | 4181, S, 8031, g, B, Q, L, 527, z, 3007, 4399, 8517, F, S, 697, R, 2857, 41, 5173, K, 4545, 7087, 8735, f
| 0 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
-0.09120138734579086,
0.23634663224220276,
-0.15884318947792053,
-0.27625197172164917,
-0.3766045570373535,
-0.46183472871780396,
0.4104023873806,
0.05801305174827576,
-0.8199694156646729,
0.04228749871253967,
-0.8435428738594055,
0.02849462255835533,
0.047879576683044434,
-0.0803324356675... |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Example Input: Igbo sentence: Kohat to Lake Charles, La
Example Output: Kittilae to Lake Charles, La
Example Input: Igbo sentence: Kwere - Torres Strait Creole
Example Output: croate - Tor... | Seek to understand them, and respect the fact that some of us live in different realities and have to endure different trials .
| 3 | NIv2 | task449_opus_paracrawl_ig_en_translation | fs_opt | [
-0.0277591273188591,
0.10158785432577133,
-0.22487041354179382,
-0.3175663948059082,
0.06072835996747017,
-1.186436414718628,
0.44196078181266785,
0.2548888623714447,
-0.3448023200035095,
-0.4742315411567688,
0.13819704949855804,
0.27226024866104126,
-1.051849126815796,
0.11609825491905212... |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Input: מעניין. מייקל, בשורה התחתונה, מה ההמלצה שלך?
Output: | 興味深いですねマイケル結局お勧めは? | 2 | NIv2 | task1235_ted_translation_he_ja | zs_opt | [
-0.3578689694404602,
0.22273506224155426,
-0.06390494853258133,
-0.3508366048336029,
0.07810741662979126,
-0.5995210409164429,
1.0061951875686646,
-0.22011063992977142,
0.5440108776092529,
-0.3666068911552429,
-0.35798394680023193,
-0.35190579295158386,
-0.6447618007659912,
0.7754352092742... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, Pers... | Yes | 1 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.27551645040512085,
0.41808784008026123,
0.21758350729942322,
-0.10475655645132065,
-0.29596707224845886,
-0.6935450434684753,
1.0866297483444214,
0.2506951093673706,
-0.9953874349594116,
-0.5521631836891174,
-0.28419774770736694,
-0.687816858291626,
-0.5777876377105713,
0.369567513465881... |
Definition: A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
Input: ڈیکاتھلون-5 (400 میٹر)
Output: | डिकेथलॉन -5 (400 मीटर) | 2 | NIv2 | task1054_pib_translation_urdu_hindi | zs_opt | [
0.7355996370315552,
0.051269225776195526,
-0.7728406190872192,
0.2704424560070038,
-0.11953519284725189,
-0.19395479559898376,
0.27899888157844543,
-0.40831202268600464,
0.5668760538101196,
-0.8385989665985107,
-1.1454007625579834,
-0.1643892526626587,
-0.024803509935736656,
0.467681229114... |
In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.
[EX Q]: Question: In the β-oxidation of odd-chain fatty acids, what is the molecule that forms with the last three carbons to enter the citric ac... | 1
| 6 | NIv2 | task1431_head_qa_answer_generation | fs_opt | [
-0.11767945438623428,
0.2439274787902832,
-0.3967413008213043,
-0.8770432472229004,
0.05220754072070122,
-0.10524067282676697,
1.033940076828003,
1.1089720726013184,
0.010671637952327728,
-0.07428145408630371,
-0.3581238389015198,
-0.42649805545806885,
-0.1455782651901245,
-0.4664925932884... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Example: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Output: 第一にキリバス共和国が彼ら自身の利益になると理解したから... | もっとも驚くべきは ― これらの強制的な方法が必要ですらなかったということです | 1 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.6981220245361328,
0.4003455638885498,
-0.08511568605899811,
0.1602771133184433,
0.07509094476699829,
-0.35146427154541016,
0.54041987657547,
0.27343055605888367,
0.15991687774658203,
0.06451530754566193,
-0.33536726236343384,
-0.39214372634887695,
-0.18015030026435852,
0.0265550147742033... |
Instructions: In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence b... | True | 3 | NIv2 | task1311_amazonreview_rating_classification | zs_opt | [
-0.07164760679006577,
0.1614876687526703,
-0.1895374059677124,
-0.013013480231165886,
0.24281902611255646,
-0.7635120153427124,
0.9917087554931641,
0.54157555103302,
-0.18565285205841064,
0.3432846963405609,
-0.5943069458007812,
0.3768155872821808,
-0.7872318625450134,
0.024686288088560104... |
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
One example is below.
Q: PersonX does PersonX's job well
... | defeated | 9 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.1991645097732544,
0.797621488571167,
0.02446754463016987,
-0.9036837220191956,
-0.47250691056251526,
-0.8024899959564209,
1.6393530368804932,
0.7348890900611877,
-0.10637335479259491,
-0.8936484456062317,
0.20800623297691345,
-0.27268186211586,
-0.6725127100944519,
0.6087645888328552,
... |
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
[31, 36, 35, -41, -58, -11] | [31, 35, -41, -58, -11] | 0 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
-0.18068286776542664,
-0.20043601095676422,
-0.3156164288520813,
-0.5381913185119629,
0.2086714804172516,
0.2153376191854477,
1.206789255142212,
0.035332683473825455,
-0.5409588813781738,
-0.00834491103887558,
-0.9881294965744019,
-0.22584250569343567,
-0.049902625381946564,
-0.72176790237... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Omfg! steaks are amazing!
Output: | POSITIVE | 1 | NIv2 | task475_yelp_polarity_classification | zs_opt | [
-1.5563584566116333,
-0.06059735268354416,
0.700295090675354,
0.5590330362319946,
0.8078792095184326,
-0.05884399265050888,
0.07381460070610046,
0.6811941266059875,
0.3501531481742859,
0.3184276521205902,
0.07449957728385925,
-0.4739491641521454,
-0.20673619210720062,
0.29709741473197937,
... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK | 9 | NIv2 | task128_scan_structured_text_generation_command_action_short | fs_opt | [
0.07443644851446152,
0.5369223356246948,
-0.35974767804145813,
-0.02464119717478752,
0.10206092149019241,
-0.09480860829353333,
0.3973551392555237,
0.04898688197135925,
-0.14834484457969666,
-0.3410578966140747,
-0.770991861820221,
-0.2993815541267395,
-0.7316293120384216,
-0.1485898345708... |
In this task, you will be given a sentence or two along with a change aspect. You should change the given text in the given aspect. Aspects are explained below:
Tense: Change the tense of the verbs in the text. If they're in past tense, change them to present, and if they're in present tense, change them to past tense... | Fred is actually the only man still alive who really remembers my great-grandfather . He truly is a remarkable man . | 4 | NIv2 | task275_enhanced_wsc_paraphrase_generation | zs_opt | [
-0.49589478969573975,
1.0951544046401978,
0.39640048146247864,
-0.9112445116043091,
-0.32242536544799805,
-0.46460700035095215,
1.2533336877822876,
0.9986539483070374,
-0.08177824318408966,
-0.4229181408882141,
-1.1347694396972656,
-0.4796152114868164,
-1.360231876373291,
0.053705625236034... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
See one example below:
Problem: وقد كتبن اللغة وغالبا ما كانت لغة آلة وأحيانا شفرة ثنائية ترسل بعدها بالبريد لمركز البيانات لتنقل على شريط أو بطاقة ورقية مثقبة ثم تعاد الكرة مرة أخرى للتأكد.
Solution: و آ... | و این جالب است زیرا بدین معنی است که فقط نحوه حرکت پاها باعث ثبات این حرکت کاملا سریع شده است ، واین نحوه طراحی باعث ساده شدن حرکت شده است. | 4 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.26916590332984924,
-0.025841426104307175,
-0.5584421157836914,
-0.2991577088832855,
-0.15447963774204254,
0.03628688305616379,
0.994728684425354,
-0.048384688794612885,
0.16018657386302948,
-0.29524922370910645,
-0.8901007175445557,
0.13602539896965027,
-0.0014091674238443375,
0.5357750... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Ex Input:
Beginning: Ma... | 1
| 1 | NIv2 | task070_abductivenli_incorrect_classification | fs_opt | [
-0.7294924259185791,
0.18020151555538177,
-0.5720444321632385,
-0.222016841173172,
-0.734870433807373,
-0.434333860874176,
0.24726542830467224,
0.5052194595336914,
-0.17758750915527344,
0.12188898772001266,
-0.609923243522644,
-0.5972843766212463,
-0.2411397099494934,
-0.4308129549026489,
... |
Q: Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Ito ang unang gobyernong menorya sa Quebec mahigit na 100 mga taon simula noong taong 1878.
A: | これはケベックでの1878年以来100年以上の歴史上初の少数派による政権である。 | 7 | NIv2 | task1119_alt_fil_ja_translation | zs_opt | [
-0.18688073754310608,
0.7189557552337646,
-0.28839850425720215,
-0.5343977808952332,
0.34812384843826294,
-0.6806742548942566,
0.7760684490203857,
0.6913673281669617,
-0.18321052193641663,
0.016596494242548943,
-0.0770617127418518,
-0.6189090013504028,
-0.538071870803833,
0.430886119604110... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
See one example below:
Problem: Udostępniam rozwiązanie. Jestem bardzo szczęśliwy.
Solution: Brindo soluciones. Estoy muy feliz.
Explanation: The Polish sentence is correctly translated into Spanish, be... | "" Miren sus vientres, rosa. | 4 | NIv2 | task1258_ted_translation_pl_es | fs_opt | [
-0.9335851669311523,
1.0125617980957031,
-0.055391307920217514,
-0.34499937295913696,
-0.4200994670391083,
-0.6034538745880127,
1.3230268955230713,
-0.23943668603897095,
0.24677297472953796,
-0.5372944474220276,
-0.6500928401947021,
0.8569313287734985,
-0.4303619861602783,
0.61155700683593... |
Detailed Instructions: In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an ev... | [17, 181, 89] | 9 | NIv2 | task205_remove_even_elements | zs_opt | [
-0.389607697725296,
0.5152077078819275,
-0.13684476912021637,
-1.1802313327789307,
0.037645697593688965,
-0.5745822191238403,
0.6011971235275269,
0.25067412853240967,
-0.5593805909156799,
0.6960737109184265,
-0.425544798374176,
0.1576220989227295,
-0.1210329458117485,
-0.15228033065795898,... |
Given the task definition, example input & output, solve the new input case.
A text is given in Telugu. Translate it from the Telugu language to the Urdu language. The translation must not omit or add information to the original sentence.
Example: వ్యవసాయ కార్యకలాపాలు మరియు స్వయం ఉపాధి కారణంగా ఉపాధి కల్పనలో ఈ వ్యయం 321... | شکریہ ! | 1 | NIv2 | task1037_pib_translation_telugu_urdu | fs_opt | [
-0.5965272188186646,
0.7601051926612854,
-0.4471272826194763,
0.08415789902210236,
0.4144047200679779,
-0.17023280262947083,
0.24709460139274597,
0.4475211203098297,
-0.18261204659938812,
0.2815006375312805,
-0.35140466690063477,
-0.004482580348849297,
0.20823414623737335,
-0.2883772253990... |
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 発射は、既にその地域での雷雨により中止の危機に直面していた。
Thai: ในปี2012 เทศกาลทำการเปิดตัวด้วยภาพยนตร์เรื่อง ทิวลิปสีดำ ซ... | No
| 0 | NIv2 | task1129_alt_ja_th_answer_generation | fs_opt | [
-0.3375896215438843,
-0.5376374125480652,
0.01251362357288599,
0.14776763319969177,
0.5563652515411377,
-0.6371724605560303,
0.30130308866500854,
1.270570993423462,
-0.32212817668914795,
0.1507423222064972,
-0.20481765270233154,
0.1930657923221588,
-0.4104945659637451,
0.32477009296417236,... |
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Input: Consider Input: Reviews: Since I received t... | Output: True
| 2 | NIv2 | task1308_amazonreview_category_classification | fs_opt | [
-0.03666757419705391,
0.07000864297151566,
-1.0115926265716553,
0.1332780122756958,
0.16548576951026917,
-0.5964345932006836,
0.5670540928840637,
0.5586326122283936,
-0.4513898491859436,
0.39104214310646057,
0.11012451350688934,
0.11760106682777405,
-0.48244965076446533,
-0.285142898559570... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been re... | No | 0 | NIv2 | task1202_atomic_classification_xneed | fs_opt | [
0.6133847832679749,
-0.024297276511788368,
0.12769746780395508,
0.11110435426235199,
-0.03254413604736328,
-0.3990410566329956,
1.0739123821258545,
0.6762065887451172,
-0.7040964961051941,
-0.29469162225723267,
-0.2609064280986786,
-0.4036823511123657,
-0.5112078785896301,
0.12446989119052... |
In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, lik... | [-57.0, 21.0, 65.5] | 8 | NIv2 | task124_conala_pair_averages | fs_opt | [
-0.19914764165878296,
0.5920931696891785,
-0.4972054064273834,
-0.25401854515075684,
0.3599293828010559,
0.16822905838489532,
1.0853195190429688,
0.6121816635131836,
0.20854444801807404,
-0.472037672996521,
-0.5667407512664795,
-0.30864712595939636,
-0.06239810213446617,
0.4099943935871124... |
Teacher: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Con el crecimiento, los países y las sociedades ingresan en un ciclo virtuoso de movilidad ascendente, de oportunidad y me... | Now, is closing down mosques going to make America safer? | 2 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.28478819131851196,
0.14995694160461426,
0.47186514735221863,
-0.22190552949905396,
-0.12481758743524551,
0.0775940790772438,
-0.11013282835483551,
0.5207696557044983,
-0.4911363124847412,
0.02160809561610222,
-0.5233478546142578,
0.15043702721595764,
-0.7178598046302795,
-0.736300289630... |
In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate anythi... | D | 4 | NIv2 | task309_race_answer_generation | zs_opt | [
0.11884892731904984,
0.34660518169403076,
0.10816450417041779,
-0.4720890522003174,
0.01230518240481615,
0.1603979915380478,
1.1627435684204102,
1.2101950645446777,
-0.18956276774406433,
0.6733707189559937,
-0.5755859613418579,
0.15433213114738464,
-0.07467333227396011,
-0.0185379348695278... |
In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have two languages at a time.
Ex Input:
My body can endure chills, and can endure... | English
| 1 | NIv2 | task1621_menyo20k-mt_en_yo_language_identification | fs_opt | [
0.4166921377182007,
0.34368836879730225,
0.09336937218904495,
-0.07655096054077148,
0.14834637939929962,
-1.0886235237121582,
-0.262770414352417,
0.7734806537628174,
0.6053600311279297,
-0.7916167974472046,
-0.25399744510650635,
-0.07182075828313828,
-0.9812323451042175,
-0.253016740083694... |
Instructions: In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Input: A decision has to be made on what precautions have to be taken to prevent the fire spreading.
Output: | Isigqibo kufuneka senziwe ukuba kuthathwe waphi ukunaba komlilo. | 3 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | zs_opt | [
0.4881238341331482,
0.9287185072898865,
0.24299904704093933,
-0.32698655128479004,
-0.5484090447425842,
-1.0851905345916748,
0.9884641170501709,
0.6067367792129517,
0.1785246878862381,
-0.4034789800643921,
-0.5030620694160461,
-0.09310149401426315,
-0.8061287999153137,
-0.5671515464782715,... |
Detailed Instructions: Your task is to localize given English phrase into Hindi language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But on... | अवैध टिफ़ फ़ाइल:% 1 | 4 | NIv2 | task877_kde4_translation | fs_opt | [
-0.6318647861480713,
0.2643548846244812,
0.5878322124481201,
0.045272812247276306,
0.30712756514549255,
-0.8953343629837036,
0.5370992422103882,
0.06715114414691925,
-0.1713600903749466,
-0.8794674873352051,
-0.6825041770935059,
0.29768073558807373,
-0.45191097259521484,
0.5510240197181702... |
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. A... | Producers use unsaturated fatty acids to store energy. | 9 | NIv2 | task038_qasc_combined_fact | fs_opt | [
-0.01105918176472187,
0.7795407772064209,
-0.6721528768539429,
-0.12601523101329803,
-0.5734665393829346,
-1.7009272575378418,
-0.09803073108196259,
1.1757229566574097,
-0.5536471605300903,
-0.006810472812503576,
-1.4121100902557373,
0.4580457806587219,
-0.2116187959909439,
-0.241168037056... |
TASK DEFINITION: Given an abstract of a paper, generate a title for this paper such that conveys the key focus of the paper.
PROBLEM: Abstract: We correlated the level of vitiligo antibodies to the extent of depigmentation in thirty-two patients with vitiligo. Vitiligo antibodies were assayed by protein A-sepharose imm... | Serial observations of colonic carcinogenesis in the rat. Premalignant mucosa binds Ulex europeus agglutinin.
| 8 | NIv2 | task619_ohsumed_abstract_title_generation | fs_opt | [
0.6260228157043457,
-0.3457893133163452,
-1.070166826248169,
0.26989656686782837,
0.49875038862228394,
-0.12712650001049042,
0.058479465544223785,
0.5999505519866943,
0.2045487016439438,
0.20162737369537354,
0.01614166423678398,
0.23718887567520142,
-0.15702399611473083,
0.2484595775604248... |
In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return the profession with the given gender.
Q: Sentence: The salesperson disliked ... | Salesperson | 4 | NIv2 | task342_winomt_classification_profession_pro | zs_opt | [
-1.656181812286377,
0.9973787665367126,
-0.055518798530101776,
-1.2617101669311523,
0.21179892122745514,
-0.028319798409938812,
0.21522893011569977,
0.5176845788955688,
0.9031531810760498,
0.194956973195076,
-1.3227678537368774,
0.20111516118049622,
-0.9441951513290405,
-0.3444483876228332... |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Yo... | None of Danny's friends were going.
| 3 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
0.24761554598808289,
0.5260091423988342,
0.11213377863168716,
0.024646766483783722,
-0.3647732734680176,
-0.04401489347219467,
0.5683730244636536,
0.9577947854995728,
-0.60890793800354,
-0.04838846996426582,
-1.0175092220306396,
0.43212947249412537,
-0.4594005346298218,
-0.5383679270744324... |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Ye... | No
| 0 | NIv2 | task359_casino_classification_negotiation_vouch_fair | fs_opt | [
0.7686622142791748,
0.39780503511428833,
-0.44733428955078125,
-0.20754164457321167,
-0.2753909230232239,
-1.2647981643676758,
1.0835134983062744,
1.0666414499282837,
-0.6332485675811768,
0.29528093338012695,
0.6801505088806152,
0.12228561192750931,
-0.967621922492981,
0.18562071025371552,... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Polish.
Problem:So we've developed a small microcomputer that is blinking somewhere behind her back and is operating this all by the way she trains it to use her individual muscle signals.
Solution: | Zaprojektowaliśmy więc mały komputer, który mruga gdzieś za jej plecami i wszystkim steruje. Amanda "" trenuje "" go, aby rozpoznawał jej indywidualne sygnały. | 8 | NIv2 | task1092_ted_translation_en_pl | zs_opt | [
-0.7014342546463013,
0.8199996948242188,
-0.6544598937034607,
0.1299157738685608,
0.04594080150127411,
0.25011780858039856,
0.58966064453125,
-0.05553726851940155,
0.6485247611999512,
0.16483570635318756,
-0.11186838150024414,
0.18037904798984528,
-0.2182098627090454,
0.2663792073726654,
... |
Part 1. Definition
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Part 2. Example
[2, 5, 9, 6, 11]
Answer: [2, 5, 11]
Expla... | [100, -53] | 7 | NIv2 | task370_synthetic_remove_divisible_by_3 | fs_opt | [
0.3310795724391937,
0.009660989977419376,
-0.2931486964225769,
-0.6787099838256836,
0.324167400598526,
-0.17185083031654358,
1.1476625204086304,
-0.19937294721603394,
-0.2869437038898468,
0.14964735507965088,
-0.7304118871688843,
-0.17403215169906616,
-0.4115012288093567,
-0.53648084402084... |
Part 1. Definition
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 "HYPOTHET... | no | 7 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
0.14906692504882812,
0.22195887565612793,
-0.10617845505475998,
0.25536036491394043,
-0.037986818701028824,
-0.1911640614271164,
0.34309765696525574,
1.4381170272827148,
-0.38145893812179565,
-0.38623467087745667,
-0.021564718335866928,
0.22541292011737823,
-0.1956137865781784,
-0.25774690... |
In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
[Q]: W: Oh, look, who's here? Upon my word, if it isn't Mr. White. Oh, Mr. White, you shouldn't have come... | (B) A novel.
| 5 | NIv2 | task247_dream_answer_generation | fs_opt | [
0.41894811391830444,
0.2836754024028778,
-0.5681807398796082,
-0.6235051155090332,
0.9866651296615601,
-0.1310572326183319,
0.5107553601264954,
0.5423641800880432,
0.03410249203443527,
0.3024035096168518,
-0.3765011727809906,
0.4264164865016937,
-0.14186063408851624,
0.12514135241508484,
... |
In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Example input: In January 2011 , the... | Paraphrase | 3 | NIv2 | task400_paws_paraphrase_classification | fs_opt | [
-0.15351125597953796,
-0.10151493549346924,
-0.004716683179140091,
-0.20229190587997437,
0.408514142036438,
-0.4571402072906494,
0.48853832483291626,
-0.08422797918319702,
0.22544726729393005,
0.33261531591415405,
-0.790691614151001,
0.4431443512439728,
-0.34662824869155884,
0.440806597471... |
Two analogies that relate objects to the associated rooms is given in the form "A : B. C : ?". "A : B" relates object A to room B. Your task is to replace the question mark (?) with the appropriate room for the given object C, following the "A : B" relation.
Ex Input:
couch : parlor. bookshelf : ?
Ex Output:
library
... | kitchen
| 1 | NIv2 | task1157_bard_analogical_reasoning_rooms_for_containers | fs_opt | [
0.30242764949798584,
0.7361409664154053,
-1.1559860706329346,
0.4732195734977722,
-0.44037821888923645,
0.7339298725128174,
0.7925350666046143,
0.43367063999176025,
0.3879997134208679,
-0.3712795674800873,
-0.16625593602657318,
0.5787314772605896,
-0.2696762681007385,
0.1498907208442688,
... |
Part 1. Definition
In this task, you need to replace a letter in the sentence with another given letter.
Part 2. Example
Sentence: 'group of motorcycle motorists trying to merge into traffic'. Replace the letter 'o' with 'n' in the sentence.
Answer: grnup nf mntnrcycle mntnrists trying tn merge intn traffic
Explanation... | black show on a wriggen on skage board | 7 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.49434694647789,
0.5221146941184998,
-0.1509811282157898,
-0.8667073845863342,
1.0940654277801514,
-0.2600354850292206,
-0.12667500972747803,
0.2630523145198822,
0.2997203469276428,
-0.033055223524570465,
-0.28374576568603516,
-0.05697564780712128,
-0.2474314123392105,
-0.631549596786499... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Example Input: ويجب أن تحدث هذه الحركة في كل مكان. وإلا فأن كل حكومة منفردة سيكون لديها آلة الأعذار الآلية. بانهم لا يستطيعون تحمل عبء العمل العالمي بمفردهم.
Example Output: And it needed to happen everywhere; otherwise, eve... | So I have good news and bad news.
| 3 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
-0.4733666777610779,
0.09259040653705597,
0.027183733880519867,
-0.5468367338180542,
-0.7335897088050842,
0.11646321415901184,
0.40020471811294556,
0.25197041034698486,
0.34210851788520813,
-0.40451040863990784,
-0.8984585404396057,
-0.026997296139597893,
-0.1460038125514984,
0.08932998776... |
Teacher:You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Teacher: Now, understand the problem? Solve this instance: Event:PersonX gets money. Intent: 1) to be calm
Student: | Positive | 6 | NIv2 | task923_event2mind_classifier | zs_opt | [
-0.3211381733417511,
0.1340854912996292,
0.021606745198369026,
-0.675896167755127,
-0.5531302690505981,
-0.8637694716453552,
0.6812692880630493,
0.5215868949890137,
0.2966882586479187,
-0.23006027936935425,
0.4386729598045349,
0.17718744277954102,
-0.8788009285926819,
-0.7057471871376038,
... |
Teacher:Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: การเลือกตั้งซ่อมใน Henley มีผู้ชนะคือ Tory John Howell โดยมีเสียงข้างมากเกินกว่า 10... | ヘンリーでの補欠選挙は、トーリー党ジョン・ハウエルが10,000票を超す過半数を獲得して勝利し、保守党と労働党を共に僅差で倒すと予想されていた自由民主党候補者を大差で破った。 | 6 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
-0.27056434750556946,
0.36987918615341187,
0.18397563695907593,
0.07553251832723618,
-0.3967103958129883,
-0.8132295608520508,
0.320977121591568,
0.3048877716064453,
-0.40556102991104126,
-0.4577977657318115,
-0.25014233589172363,
0.8736672401428223,
-0.4313291013240814,
0.2543897926807403... |
TASK DEFINITION: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. on... | select the rows whose surface record fuzzily matches to clay . the minimum date record of these rows is january 8 , 2001 .
| 8 | NIv2 | task110_logic2text_sentence_generation | fs_opt | [
0.2285982370376587,
-0.058152828365564346,
-0.4048330783843994,
0.17311722040176392,
0.33728471398353577,
-0.5603174567222595,
0.48332712054252625,
0.3689069449901581,
-0.013875104486942291,
-0.30026528239250183,
-0.2509138584136963,
0.14905425906181335,
0.24066869914531708,
0.317293345928... |
Detailed Instructions: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Problem:Easily transfer pictures from iPhone to my computer and other device with regular USB port without iTunes.Or you can ... | positive | 8 | NIv2 | task1312_amazonreview_polarity_classification | zs_opt | [
-0.4412487745285034,
-0.17313918471336365,
0.053337372839450836,
-0.617963433265686,
-0.0104743093252182,
0.3492860198020935,
0.26755332946777344,
0.13527731597423553,
0.4556766152381897,
0.21545599400997162,
-0.07654443383216858,
-0.2764677405357361,
-0.28688618540763855,
0.26106905937194... |
Q: Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Students at Helston Community College say the gulls are a menace and follow them around during breaks, hoping to steal their food. Harris Hawks are... | Bird of prey tackle Helston college's seagulls | 7 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
-0.23404186964035034,
0.6126984357833862,
0.33628714084625244,
-0.39111393690109253,
-0.03153904154896736,
-0.7747803926467896,
-0.5636146664619446,
0.5174434185028076,
-0.9330064058303833,
-0.062078580260276794,
0.025467533618211746,
0.2678346633911133,
-0.6533645391464233,
-0.10972148925... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
او همچنین به یک عمل جراحی مجدد روی سینه اش نیاز داشت.
A: | Ha avuto bisogno di un intervento di aggiustamento al petto. | 7 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-0.5710739493370056,
1.4373359680175781,
-0.23838336765766144,
-0.021924825385212898,
-0.4413464069366455,
0.4189631938934326,
0.2319921851158142,
0.7077655792236328,
0.5178135633468628,
-0.5269442796707153,
-0.7564069032669067,
0.09593656659126282,
0.022052409127354622,
0.7366328239440918... |
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 'none'.
Passage: From 1983 until Kunstler's death in 1... | Answer: 27 | 0 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
0.8333131074905396,
0.1426629275083542,
-0.5765237808227539,
-0.6878303289413452,
-0.12736383080482483,
0.23998048901557922,
0.6936429142951965,
0.9744406342506409,
-0.03511468693614006,
0.1108572855591774,
-0.18291351199150085,
0.7253649234771729,
-0.7263937592506409,
0.5577685832977295,
... |
Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | 电影院的票 匹配你进来看演出。 | 9 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
0.2649191617965698,
0.11312039196491241,
-0.33379292488098145,
0.15527823567390442,
0.3735150098800659,
-0.6127580404281616,
-0.21688057482242584,
0.8602678775787354,
-0.10556185245513916,
0.002220022724941373,
-0.34339410066604614,
-0.13860031962394714,
-0.058377742767333984,
0.0276868212... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
non volevamo far ridere, non volevamo - beh sì, volevamo far ridere è questa la verità.
nie próbowaliśmy być zabawni... właściwie to chcieliśmy być zabawni, to fakt.
Qualche settimana dopo aver lasciato l'Afghanistan, legg... | To żółte, to nie śmiercionośne promienie. To wskaźnik pokazujący, że jeśli macie kamery lub innego rodzaju czujniki, ponieważ ma 1,80m wzrostu, będziecie widzieć przeszkody takie jak krzaki.
| 0 | NIv2 | task1253_ted_translation_it_pl | fs_opt | [
-1.0069811344146729,
0.10789170861244202,
0.11422749608755112,
-0.3061199188232422,
-0.8554434776306152,
-0.30511265993118286,
0.7510038018226624,
0.8324822187423706,
-0.1398640125989914,
0.04395514354109764,
-1.1942105293273926,
0.3980858027935028,
-0.5080987811088562,
0.35581666231155396... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Ma... | V, S, 7835, 6137, 1533, 9243, 9243 | 1 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
0.15670758485794067,
0.6994515657424927,
-0.4339618682861328,
0.09735894203186035,
0.13856323063373566,
0.04923883453011513,
0.6683804392814636,
0.05256086215376854,
0.1847257763147354,
0.26992055773735046,
-0.5426181554794312,
0.008307286538183689,
0.22357414662837982,
-0.0719584375619888... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video... | pet products | 1 | NIv2 | task617_amazonreview_category_text_generation | zs_opt | [
-0.3885312080383301,
0.4292391538619995,
-0.14622199535369873,
-0.004791255574673414,
-0.06298387795686722,
0.6174293756484985,
0.40362679958343506,
0.9990285634994507,
-0.3900429904460907,
0.11574739217758179,
0.1912670135498047,
0.06831976771354675,
-0.5830906629562378,
-0.40084737539291... |
instruction:
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in th... | it to be quiet
| 9 | NIv2 | task294_storycommonsense_motiv_text_generation | fs_opt | [
-0.24982160329818726,
-0.052445247769355774,
-0.7328460812568665,
0.38500744104385376,
0.12297496199607849,
-0.2400376796722412,
0.264673113822937,
0.7543052434921265,
0.5048034191131592,
0.1527775228023529,
0.007337795104831457,
0.23367591202259064,
-0.7058394551277161,
-0.349355101585388... |
Q: You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Sentence: Because xname is affordable and a Southern place and it provides adequat... | price[affordable], recommend[yes], decor[acceptable] | 7 | NIv2 | task1597_nyc_slot_filling | zs_opt | [
-1.0209770202636719,
0.5381296873092651,
-0.24661539494991302,
-0.588032066822052,
-0.583709716796875,
-0.1333828866481781,
0.3430260419845581,
-0.07635369151830673,
0.4532809257507324,
-0.07041100412607193,
0.655880868434906,
-0.2110663801431656,
-0.48579561710357666,
0.21273544430732727,... |
Given the task definition and input, reply with output. In this task your given two statements in Tamil. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
அந்த மனிதன்... | effect | 5 | NIv2 | task1177_xcopa_commonsense_cause_effect_ta | zs_opt | [
-0.4601449966430664,
0.3127754330635071,
0.10663942992687225,
-0.2724384665489197,
-0.12017782032489777,
-0.7160656452178955,
-0.501807689666748,
0.6705519556999207,
-0.003618769347667694,
0.09950283169746399,
-0.8326780796051025,
0.24567602574825287,
-0.7885721921920776,
0.239697873592376... |
Q: Given a sentence in Arabic, generate a new Arabic 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 ... | « إنكم » يا أهل مكة « لتولون » ترثون « بابا » هو باب النار « موصوفا » موصوفا في اللوح المحفوظ. | 7 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | zs_opt | [
0.1584855169057846,
0.2048952281475067,
-0.13256248831748962,
-0.49319127202033997,
-0.45114991068840027,
-0.4592432379722595,
1.180133581161499,
0.6514198184013367,
0.2026047557592392,
-0.36875057220458984,
-0.7844994068145752,
0.3342776894569397,
-1.279129981994629,
0.22977681457996368,
... |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
We had no problem getting this on. There was some issues with the fit and it wouldn't quite... | Good Review | 0 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.7224160432815552,
0.467499703168869,
-0.740237832069397,
0.3083914518356323,
0.1788693219423294,
-1.199576497077942,
0.17969205975532532,
0.9208880066871643,
0.28320765495300293,
0.5624343156814575,
-0.4111982583999634,
0.8490679860115051,
-0.38545528054237366,
-0.27029821276664734,
-... |
Q: You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
System Reference: may i help you further?
Original Reference: how else can i he... | 1 | 7 | NIv2 | task1186_nne_hrngo_classification | zs_opt | [
-0.8106271624565125,
1.2832201719284058,
-0.4217880368232727,
0.14795592427253723,
-0.42300641536712646,
-0.8295974731445312,
0.9557594060897827,
0.8502902984619141,
0.16342708468437195,
-0.008752319030463696,
-1.1262855529785156,
-0.14717824757099152,
-1.017048716545105,
-0.32382774353027... |
Detailed Instructions: In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
See ... | 2 | 4 | NIv2 | task069_abductivenli_classification | fs_opt | [
-0.706116259098053,
0.4317774176597595,
-0.059697240591049194,
-0.19469280540943146,
-0.20159585773944855,
-0.6226229667663574,
0.19411587715148926,
0.9134715795516968,
0.16921263933181763,
0.376017689704895,
-0.3168046474456787,
0.1444757729768753,
-0.16642388701438904,
-0.280226349830627... |
Given an abstract of a paper, generate a title for this paper such that conveys the key focus of the paper.
Abstract: The cumulus-fimbria interaction was investigated in vitro with endometriosis peritoneal fluid (PF). On the oviductal fimbria of the golden hamster, incubated with endometriosis and nonendometriosis PF ... | A factor inhibiting ovum capture by the oviductal fimbriae present in endometriosis peritoneal fluid. | 0 | NIv2 | task619_ohsumed_abstract_title_generation | zs_opt | [
-0.21829810738563538,
-0.037491489201784134,
-0.4065711200237274,
-0.1578129231929779,
-0.13045957684516907,
-0.5148129463195801,
-1.179832935333252,
0.9934158325195312,
0.2743075489997864,
0.5773167610168457,
-0.6205833554267883,
-0.25664764642715454,
-0.9349391460418701,
-0.2435849010944... |
Detailed Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset ... | NUM | 4 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.9092737436294556,
0.38291895389556885,
0.1468985378742218,
-0.12546709179878235,
0.16211917996406555,
-0.6920291185379028,
0.8346324563026428,
0.9220302104949951,
-0.634655237197876,
-0.3255652189254761,
-0.25157102942466736,
0.15310850739479065,
-0.44359850883483887,
0.47874072194099426... |
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... | Het uitgangspunt van het wassen van uw handen is gezondheid.
| 7 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
0.1854916661977768,
1.3747103214263916,
-0.7195674180984497,
-0.2939841151237488,
-0.15890935063362122,
-1.1392403841018677,
0.05609291046857834,
0.7613941431045532,
0.2088165432214737,
-0.21164853870868683,
-0.33074474334716797,
1.0598357915878296,
-0.642632007598877,
0.36148402094841003,... |
In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, lik... | [59.5, 16.0, -36.0, 14.5, 38.0, -53.5, -10.0, 81.5]
| 0 | NIv2 | task124_conala_pair_averages | fs_opt | [
-0.5206664204597473,
0.11913024634122849,
-0.7484713792800903,
-0.1719706654548645,
-0.04027847945690155,
0.4197925627231598,
0.3855134844779968,
0.6917294859886169,
-0.11421167850494385,
-0.20949336886405945,
-1.0375587940216064,
-0.23492619395256042,
0.020043956115841866,
0.1731232553720... |
Detailed Instructions: Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In y... | The narrator wants to avoid repeating the same costume . | 8 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
0.9555767178535461,
0.7248426079750061,
-0.16490225493907928,
0.21023991703987122,
0.09161952883005142,
-0.3727750778198242,
0.16980412602424622,
-0.013757801614701748,
0.70979905128479,
0.3043573200702667,
-0.2919076681137085,
0.7437487840652466,
-0.998742938041687,
0.2772250771522522,
... |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and r... | Option A
| 7 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
-0.14182770252227783,
0.19134241342544556,
-0.3633787930011749,
0.05747090280056,
0.17776599526405334,
0.3667849600315094,
0.37984657287597656,
1.0346362590789795,
-0.310698539018631,
0.2109507918357849,
-1.070494294166565,
0.029285099357366562,
0.25493544340133667,
-0.45567062497138977,
... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Problem:Y, porque los tenemos, podemos medir cosas.
Solution: | E dato che abbiamo questi bei diagrammi, possiamo misurare le cose. | 8 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
0.2509533166885376,
0.7333872318267822,
-0.08987373113632202,
-0.2807493209838867,
0.07759509980678558,
-1.195246934890747,
-0.25604474544525146,
0.9369027614593506,
0.28613168001174927,
-0.11820493638515472,
-0.8126845359802246,
0.6358753442764282,
-0.2641928791999817,
0.3318977653980255,... |
Definition: Two analogies that relate objects to the associated rooms is given in the form "A : B. C : ?". "A : B" relates object A to room B. Your task is to replace the question mark (?) with the appropriate room for the given object C, following the "A : B" relation.
Input: bookshelf : hallway. toolbox : ?
Output: | garage | 2 | NIv2 | task1157_bard_analogical_reasoning_rooms_for_containers | zs_opt | [
0.2748023271560669,
1.1303033828735352,
-0.9654045701026917,
0.5148236751556396,
-0.21985718607902527,
0.36833298206329346,
1.048877239227295,
0.19805637001991272,
0.2901650071144104,
-0.4199073910713196,
-0.2162834256887436,
0.3073458671569824,
-0.03303077071905136,
0.09613677859306335,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
And the sun runs his course for a period determined for him: that is the decree of (H... | گفت: پروردگارا! من به سوی تو شتافتم تا خشنود شوی. آنان گروهی هستند که اینک به دنبال من میآیند. | 0 | NIv2 | task656_quran_en_fa_translation | fs_opt | [
-0.4362052381038666,
1.1657767295837402,
-0.5595926642417908,
-0.11344777047634125,
-0.6450403928756714,
-0.32491692900657654,
0.6077229976654053,
0.3107995390892029,
0.11179378628730774,
0.13344940543174744,
-0.2843177914619446,
0.4443635642528534,
-0.07574161142110825,
0.1956072151660919... |
In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
Input: Consider Input: Sentence: 'a street performer copying a woman on her phone'. Reverse all words of length '7' in the given sentenc... | Output: a skateboarder does a jump kcirt over a rewes hole
| 2 | NIv2 | task378_reverse_words_of_given_length | fs_opt | [
-0.37144386768341064,
1.0115480422973633,
-0.216062530875206,
-0.5124754905700684,
0.048108696937561035,
-0.2902522683143616,
-0.07549713551998138,
0.4283284842967987,
0.12015549838542938,
-0.3529370427131653,
-1.5779463052749634,
0.029377076774835587,
-0.7463173270225525,
-0.0851908922195... |
In this task, you will be given two sentences sentence1 and sentence2. You should decide whether the second sentence is entailed(agreed) by the first sentence. If it does entail, answer "yes", else answer "no".
--------
Question: sentence1:person is trailing person sentence1:person is being defeated by person
Answer... | no
| 7 | NIv2 | task970_sherliic_causal_relationship | fs_opt | [
-0.7678173780441284,
0.7591131925582886,
0.42095932364463806,
-0.434262216091156,
-0.0397188775241375,
-0.3098790645599365,
0.4503990411758423,
0.4221450686454773,
0.4801391363143921,
-0.6314391493797302,
-0.9434977769851685,
-0.9505831599235535,
-1.0045466423034668,
-0.3382033705711365,
... |
instruction:
Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
question:
Which is the penultimate letter of the Greek alphabet?
answer:
psi
question:
Which former 'Have I Got News For You' presenter made an occassion... | true grit
| 9 | NIv2 | task898_freebase_qa_answer_generation | fs_opt | [
0.038563892245292664,
0.5996479988098145,
0.1164461225271225,
0.28545206785202026,
-0.09698814153671265,
-0.6149773597717285,
0.9623595476150513,
-0.6061220169067383,
0.435472309589386,
0.6314412355422974,
0.037170302122831345,
0.3210234045982361,
-0.7013760805130005,
0.043957456946372986,... |
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Example: Monterey is one of those.
Example solution: מונטריי היא אחת מהם.
Example explanation: The English sentence is correctly translated into Hebrew. The city `Monterey` is correctly translated as `מונטריי`.
Problem: So ... | Solution: אז זה לקח ארבע שנים לפרק אותו. | 5 | NIv2 | task1221_ted_translation_en_he | fs_opt | [
0.4586670696735382,
1.157332420349121,
0.2554088234901428,
-0.2918050289154053,
-0.008108759298920631,
-0.5441644191741943,
0.5448019504547119,
0.11156442761421204,
1.0628219842910767,
-0.371121346950531,
-0.3745116889476776,
0.3801417946815491,
-0.7124879360198975,
-0.014074079692363739,
... |
Detailed Instructions: Given a sentence in German, generate a new German 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 reasonabl... | Sie können einen Duschkopf anwinkeln, um Wasser zu werfen. | 9 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.3083498179912567,
1.0616751909255981,
0.1496647745370865,
-0.8119325637817383,
-0.26232337951660156,
-0.897942841053009,
1.1403789520263672,
0.5691285133361816,
0.25796085596084595,
-0.13011819124221802,
0.07564835250377655,
0.19586637616157532,
-1.021007776260376,
-0.09942975640296936,... |
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question ... | #1 return papers
#2 return #1 after 2000
#3 return number of #2
| 0 | NIv2 | task176_break_decompose_questions | fs_opt | [
0.7310003638267517,
-0.004393287003040314,
-0.8714428544044495,
0.6771087050437927,
0.10560894757509232,
-0.267045259475708,
1.2813339233398438,
0.1002933457493782,
-0.32265761494636536,
0.6472166776657104,
-0.5294325351715088,
0.2061462104320526,
0.19359111785888672,
0.49971598386764526,
... |
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
[EX Q]: what was the rating of Once Upon a Time in China?
[EX A]: good
[EX Q]: how popular was ¡Three Amigos!?
[EX A]: famous
[EX Q]: wha... | Independence Day, Spaceballs, Lost Highway, Scary Movie 4, While You Were Sleeping, Titan A.E., Lake Placid, Brokedown Palace, Malice, The Serpent and the Rainbow, The Last Seduction, Sommersby, Zero Effect, Dear Wendy, Alien Autopsy, Phoebe in Wonderland, Mr. Wrong, The End of Violence, Brain Dead, The Favor, Sibling ... | 6 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.6524533033370972,
0.3949403762817383,
-0.9782723784446716,
-0.22993965446949005,
-0.2629435658454895,
0.20362941920757294,
1.2143352031707764,
0.26348456740379333,
-0.27831903100013733,
-0.1229175478219986,
-0.6296169757843018,
0.29606112837791443,
-0.13871657848358154,
-0.1058947667479... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
One example is below.
Q: Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.
A: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes.
Rationale: The Polish s... | E moitos deles, case a maioría, prefiren escribirlles aos amigos que falar con eles cara a cara. | 9 | NIv2 | task1261_ted_translation_pl_gl | fs_opt | [
-1.3021390438079834,
1.3473429679870605,
-0.25990086793899536,
-1.2086658477783203,
-0.04445374757051468,
-1.0651099681854248,
1.0136622190475464,
-0.03942800313234329,
0.06545254588127136,
0.0023950058966875076,
-0.3303793966770172,
1.3698067665100098,
0.03970000147819519,
0.1785700917243... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
و این ممکنه یک ایده ساده به نظر برسه ، و همینطور هم هست ، اما می تونه تاثیری بزرگی بر زندگی مردم داشته باشد
A: | וזה אולי נראה כמו רעיון פשוט. הוא אכן כך. אבל השפעתו על חיי אנשים יכולה להיות עצומה. | 7 | NIv2 | task1269_ted_translation_fa_he | zs_opt | [
-0.600538969039917,
1.2424602508544922,
0.36099278926849365,
-0.17768846452236176,
-0.31948286294937134,
-0.5775586366653442,
1.0959436893463135,
0.043639738112688065,
0.9808449745178223,
-0.31364959478378296,
-0.5096228122711182,
0.27461716532707214,
-0.5976795554161072,
0.022145066410303... |
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