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 a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
My ex - roommate purchased this as he had the free internet from my high speed . It was only on my computer a month or so . I am no computer whiz & I guess he had it passw... | What will happen to Alex?
| 0 | NIv2 | task596_mocha_question_generation | fs_opt | [
-0.4647105038166046,
0.9757989645004272,
-1.207952618598938,
0.41636255383491516,
-0.7904555797576904,
-0.24405813217163086,
0.8214792013168335,
0.5276545882225037,
0.4113559126853943,
-0.22851283848285675,
-0.20721092820167542,
0.5893214344978333,
-1.680688738822937,
0.06748195737600327,
... |
Given the task definition and input, reply with output. In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Quisiéramos saber qué ha ... | Spanish | 5 | NIv2 | task533_europarl_es-en_language_identification | zs_opt | [
-0.6200906038284302,
0.7246355414390564,
0.8236980438232422,
-0.4698249399662018,
0.16180554032325745,
-0.5755271315574646,
0.07878226786851883,
0.7586261630058289,
0.4329864978790283,
-0.5315481424331665,
-0.06529722362756729,
0.13671812415122986,
-0.14240717887878418,
-0.1320209950208664... |
Part 1. Definition
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 pr... | تأثير طبخ الصاروخ يجعل الطعام أكثر شهية. | 7 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | fs_opt | [
0.32586050033569336,
0.027509421110153198,
-0.460806667804718,
-0.47110098600387573,
-0.48935988545417786,
-0.1242537796497345,
1.3663671016693115,
0.4523448348045349,
0.4541058838367462,
-0.8815004825592041,
-0.45095378160476685,
-0.042276568710803986,
-1.0693762302398682,
0.0736824274063... |
instruction:
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
question:
Jest oporna na pomysły.
answer:
شما می بینید که تا چه اندازه دقیقا در برابر آن ایده ها مقاومت می کند.
question:
Zakazano nas w Egipcie, a kilku naszych korespondentów zostało aresztowanych.
answer:
ما ا... | حالا اگر به شبکه ای مثل این نگاه کنید ۱۵۰ نفر میبینید
| 9 | NIv2 | task1263_ted_translation_pl_fa | fs_opt | [
-0.0619204007089138,
0.4712173342704773,
0.48804983496665955,
-0.6615085601806641,
-0.24617184698581696,
-0.14367496967315674,
1.023017406463623,
-0.1049887165427208,
0.45530450344085693,
-0.09006403386592865,
-1.3505003452301025,
0.5156318545341492,
-0.47616732120513916,
0.504371166229248... |
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'T... | Text one | 4 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-0.6854408383369446,
0.5280532836914062,
-0.11897341907024384,
-0.1155959814786911,
0.4141116440296173,
-0.552977979183197,
0.5642708539962769,
0.7280813455581665,
-0.017890386283397675,
0.6358600854873657,
0.19234484434127808,
-0.2514296770095825,
0.045277517288923264,
-0.0565487071871757... |
Q: You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
... | sadness | 7 | NIv2 | task1662_cedr_ru_classification | zs_opt | [
-0.41387486457824707,
-0.03211163356900215,
0.03987664356827736,
-0.4349839687347412,
-0.7930396795272827,
-0.6866276264190674,
0.60052490234375,
1.221130609512329,
-0.10169164836406708,
-0.18983353674411774,
-0.44197285175323486,
-0.0016300525749102235,
0.20154637098312378,
0.306428432464... |
In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the... | agent: I have checked the flights from BOS to DEN.
| 1 | NIv2 | task574_air_dialogue_sentence_generation | fs_opt | [
0.169511616230011,
-0.048672787845134735,
-0.8186802864074707,
-0.3911867141723633,
0.5586715936660767,
-0.16940675675868988,
0.8999645709991455,
0.20227664709091187,
-0.5288629531860352,
0.45922526717185974,
0.04725871607661247,
0.19604220986366272,
-0.21276220679283142,
0.285211801528930... |
In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index at 1, so the first eleme... | Solution: [5, 18, 7, -3, 12, 0, 7, 3, -14] | 5 | NIv2 | task096_conala_list_index_subtraction | fs_opt | [
0.5008243322372437,
0.12771958112716675,
-0.8353931903839111,
-0.1634587049484253,
0.030502427369356155,
-0.507901132106781,
1.2376272678375244,
0.30716827511787415,
-0.32499781250953674,
-0.18926624953746796,
-0.8727564811706543,
-0.29703718423843384,
-0.6690502166748047,
-0.2554613947868... |
Instructions: In this task, you are given dvd product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: Inachetable . J'ai apprécié le film, d'un point de vue historique; j'aur... | NEG | 3 | NIv2 | task483_cls_french_dvd_classification | zs_opt | [
-0.22788970172405243,
0.09958949685096741,
-0.0710243433713913,
0.24364528059959412,
0.40910524129867554,
-0.0205061212182045,
0.7001709938049316,
0.2560393810272217,
0.5259479284286499,
0.8746878504753113,
-0.791940450668335,
-0.7000060081481934,
0.2676642835140228,
-0.7652074098587036,
... |
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 return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be... | 12554 | 0 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | zs_opt | [
-0.40301448106765747,
0.5339549779891968,
-0.5595042705535889,
-0.4837198853492737,
-0.15039904415607452,
0.13031908869743347,
0.3279753625392914,
0.10866047441959381,
-0.12123451381921768,
0.14729422330856323,
-0.6927605867385864,
0.5622051954269409,
0.38873159885406494,
-0.51195907592773... |
In this task, you will be presented with a question having multiple possible answers in Urdu language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Example: Question: کیوں ایک شخص بغیر کسی تنخواہ کے اپنی ملازمت پر قائم رہے گا؟
Options: (A) کام کر... | Solution: D | 5 | NIv2 | task1132_xcsr_ur_commonsense_mc_classification | fs_opt | [
-0.5243968367576599,
0.8630207777023315,
-0.40978574752807617,
-0.852566123008728,
-0.7433395385742188,
-0.2373674511909485,
0.4004836678504944,
0.23213234543800354,
0.3568364381790161,
-0.567968487739563,
-0.5461559295654297,
-0.1479446291923523,
0.08133137971162796,
-0.21512943506240845,... |
Construct a question that every answer in the list is correct and reasonable for it.
[EX Q]: loud noise, property line, dogs, trees, kids
[EX A]: name something neighbors might have a dispute about.
[EX Q]: making love, talking/phone, eating, driving, drinking
[EX A]: name something that's embarrassing to fall asleep... | name something gorillas do all day.
| 6 | NIv2 | task821_protoqa_question_generation | fs_opt | [
-0.10265792906284332,
1.1790130138397217,
-0.6115811467170715,
-0.5618599057197571,
-0.6121004223823547,
-0.6749736070632935,
0.7159299850463867,
0.014537221752107143,
-0.18361309170722961,
-0.5896197557449341,
-0.6364124417304993,
0.8740326166152954,
-1.0266422033309937,
-0.33527484536170... |
Teacher: Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well ... | Good | 2 | NIv2 | task673_google_wellformed_query_classification | fs_opt | [
-0.4240570664405823,
0.2829635739326477,
0.021512210369110107,
-0.5933058261871338,
-0.14754492044448853,
-0.5460183620452881,
0.38793468475341797,
-0.16874009370803833,
-0.27323392033576965,
0.14258134365081787,
-0.08397579938173294,
0.2513159215450287,
-0.7901636362075806,
-0.28634232282... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Example: EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i wystartować ponownie w ciągu kilku minut.
Output: ایلان: درسته. این مهمه که بخش... | حالا اگر به شبکه ای مثل این نگاه کنید ۱۵۰ نفر میبینید | 1 | NIv2 | task1263_ted_translation_pl_fa | fs_opt | [
-0.579761266708374,
0.8728986978530884,
0.2839719355106354,
-0.19405128061771393,
-0.5852648019790649,
0.8276835680007935,
1.4912748336791992,
0.3719264566898346,
0.06375990062952042,
-0.39422914385795593,
-0.9896923303604126,
0.9663866758346558,
-0.6938269138336182,
-0.016391219571232796,... |
Teacher: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 such that it seamlessly connects with the rest of the story.
Teacher: Now, understand the problem? Solve this instance: Title: Late. Sentence 1: Lee was waiting for Wen... | He later found out she'd gotten in a car crash trying to respond. | 6 | NIv2 | task216_rocstories_correct_answer_generation | zs_opt | [
-0.8505867719650269,
0.6981830596923828,
0.7939341068267822,
-1.1053663492202759,
-0.004500387702137232,
0.27980658411979675,
0.20375880599021912,
0.7672611474990845,
-0.005597956012934446,
0.0005384610267356038,
-0.2116549015045166,
-0.08050274848937988,
-0.3371996283531189,
0.09867447614... |
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... | K, a, Y, p, e, R, B, B, f, L, g, g, 325, 6209, 3903, 5409, 9327, 3779, 9321, 9849, 7869, 3675, 237, 5915, 7085, 5537, 4265, 4779, 4983, 3057, 9585, 6669, 5473, 9405, 7321 | 1 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
0.06008988618850708,
0.39234763383865356,
-0.3418811857700348,
-0.19160622358322144,
0.19760408997535706,
-0.39457887411117554,
0.3614479899406433,
0.39716047048568726,
-0.3649054169654846,
0.5828626155853271,
-0.8197388052940369,
0.1161772608757019,
0.031139912083745003,
-0.22447407245635... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Example: Guj... | No | 1 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | fs_opt | [
-0.8559623956680298,
0.20732241868972778,
0.40940916538238525,
0.42805951833724976,
0.30647143721580505,
-0.619584321975708,
-0.17329813539981842,
0.48378995060920715,
-0.35183677077293396,
-0.33354219794273376,
-0.4052029848098755,
0.1663254201412201,
-0.28933584690093994,
-0.099261648952... |
Definition: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX:... | NN | 2 | NIv2 | task382_hybridqa_answer_generation | zs_opt | [
0.6418640613555908,
0.4315284490585327,
-0.09809021651744843,
0.10890553891658783,
0.12468855082988739,
-0.952315092086792,
0.9634081125259399,
0.8862512707710266,
-0.4144873321056366,
-0.27795255184173584,
-0.19085437059402466,
0.2972012758255005,
-0.3262566328048706,
0.1734912395477295,
... |
Given the task definition and input, reply with output. You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
לא עוד נעדרים, חבר 'ה.
| بله دیگه کسی نباید غیبش بزنه. | 5 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.11919460445642471,
0.7383856177330017,
0.22273516654968262,
0.07027585804462433,
-0.47625473141670227,
0.4111935496330261,
1.380751132965088,
-0.17724213004112244,
0.9039413928985596,
-0.08031511306762695,
-0.6909324526786804,
0.2068558633327484,
-0.6144397258758545,
0.310139000415802,
... |
Q: 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".
Review: I had been looking forward to seeing Dreamgirls for quit... | no | 7 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-0.7499502897262573,
0.42352810502052307,
-0.5849827527999878,
-0.20349332690238953,
0.17071658372879028,
-0.7551546096801758,
1.274606704711914,
1.3664758205413818,
-0.2799068093299866,
-0.13757310807704926,
-0.10571977496147156,
-0.07643425464630127,
-0.48448312282562256,
-0.422339200973... |
Teacher: Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation... | spouse | 2 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.12784186005592346,
0.1369227170944214,
-0.3444029986858368,
-0.6908136606216431,
0.30642247200012207,
-0.08354800939559937,
0.059812627732753754,
1.0881843566894531,
0.10676461458206177,
0.47207242250442505,
0.451589435338974,
0.49818238615989685,
-0.9409635663032532,
0.02421161159873008... |
Teacher: In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Context: Chronic rhinosinusitis (CRS) is a hete... | Analysis of 12-lead HF QRS ECG is highly sensitive and reasonably specific for detecting perfusion defects during adenosine MPI stress tests and significantly more sensitive than analysis of conventional ST segments. | 2 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.3080662488937378,
0.40192270278930664,
-0.48246437311172485,
-0.3398524820804596,
0.5741655826568604,
-0.6370088458061218,
0.27393320202827454,
0.43803656101226807,
-0.19792133569717407,
0.04979480057954788,
-0.16996262967586517,
0.010568222030997276,
-0.8069446086883545,
0.3668689727783... |
Given the task definition and input, reply with output. 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, subj... | What sex is Orpheus? | 5 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | zs_opt | [
-0.143429234623909,
1.277622103691101,
-0.11071142554283142,
0.3980104923248291,
-0.6485800743103027,
-0.1860530823469162,
0.20841769874095917,
-0.09832283854484558,
0.4698534309864044,
-0.23799379169940948,
-0.9447755813598633,
0.36068981885910034,
-0.5125377178192139,
-0.1337507218122482... |
Teacher: In this task, you are given a question and an answer, you would be asked to create the sentence based on the Question-Answer provided. It should be contained within the Question-Answer provided.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Question: Which is an ex... | Metallic bonds hold together positive metal ions and their valence electrons. | 2 | NIv2 | task1556_scitail_passage_generation | fs_opt | [
0.6411550045013428,
1.1431940793991089,
-0.3881637454032898,
-0.13611844182014465,
-0.7127492427825928,
-1.1068885326385498,
0.8303495645523071,
1.1154065132141113,
-0.05303826555609703,
-0.14232218265533447,
-0.10251563042402267,
-0.1881253570318222,
-0.13136544823646545,
-0.0847317278385... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
And that's a picture that every neurophysiologist knows.
Output: | Esta es una imagen que todo neurofisiólogo reconoce. | 1 | NIv2 | task1219_ted_translation_en_es | zs_opt | [
-0.5216702222824097,
0.21123620867729187,
0.1315755546092987,
-0.20715080201625824,
0.21224521100521088,
-0.625687837600708,
0.19839206337928772,
0.9673969745635986,
0.7589907646179199,
-0.3380477726459503,
-0.2975499927997589,
0.06997494399547577,
-0.4279435873031616,
0.13284491002559662,... |
Detailed Instructions: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Q: و به یقین نوح را به سوى قومش فرستادیم. پس [به آنان] گفت: «اى قوم من، خدا را بپرستید. شما را جز او خدایى نیست. مگر پروا ندارید؟»
A: | We sent Noah to his people. He said: "O my people, worship God, for you have no other god but He. Will you not take heed for yourselves?" | 9 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.5942095518112183,
0.9656277894973755,
-0.15481463074684143,
-0.4652272164821625,
-0.7401216626167297,
-0.4288445711135864,
1.430464267730713,
0.27036237716674805,
0.07988041639328003,
-0.03124580718576908,
-0.5865045785903931,
0.12956544756889343,
-0.45934784412384033,
-0.26308423280715... |
Definition: You are given a statement written in Bengali. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement . Output the word from the correct option .
Input: Statement: ২০১৯ সালের মার্চ মাসে নামিবিয়ায় আইসিসি বিশ্ব ক্রিকেট লীগ দ্বিতীয় বিভাগ প্রতিযোগি... | নামিবিয়ার | 2 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | zs_opt | [
0.041026171296834946,
0.9165406823158264,
-0.18826183676719666,
-0.2652885913848877,
-0.21838518977165222,
-0.6105238795280457,
0.22131803631782532,
0.34558045864105225,
0.2252303808927536,
0.26483339071273804,
-0.47240519523620605,
0.04477398097515106,
-0.6096651554107666,
0.0672678053379... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Agora, está ao lado, ou na miña casa.
Solution: Now, it's next door, or in my house.
Why? The Galic... | This is the new world we have today in 2010. | 0 | NIv2 | task1238_ted_translation_gl_en | fs_opt | [
-0.44397085905075073,
1.257178544998169,
0.026148900389671326,
-0.3780807554721832,
0.07579047232866287,
-0.8636953830718994,
0.7576467394828796,
0.661892294883728,
-0.21079546213150024,
0.054320283234119415,
-0.18565380573272705,
0.6454994678497314,
-0.7356746196746826,
0.0575566850602626... |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
One example is below.
Q: My stomach will be upset if i eat that.
A: Do you like pineapple on your pizza?
Rationale: The answer given was regarding something that the person ate and it caused his stomach upset. The... | Will you be having a lie in in the morning? | 9 | NIv2 | task568_circa_question_generation | fs_opt | [
0.2904699444770813,
0.8818721175193787,
0.4006301164627075,
-0.10463017970323563,
-0.220854252576828,
-0.7262465953826904,
0.5149400234222412,
0.722140371799469,
-0.30486640334129333,
-0.3303350508213043,
-0.10478229820728302,
-0.008720217272639275,
-1.1832568645477295,
-0.0209361836314201... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
Example Input: ایالات متحد حدود ۲۰ میلیون بشکه نفت در روز استفاده میکند که ۲۵ درصد کل نفت جهان در روز است.
Example Output: ونحن نقوم بذلك بأربعة في المئة من الساكنة.
Example Input: اما نگهداری این جمعیت دامی هزینه ی گزافی ... | وهذا ما يسمى أحيناناً بـ: "" تأثير أم الدب "". وذلك مثل دفاع أم الدب عن صغارها ، فعندما ندافع عن الآخرين ، نستطيع اكتشاف أصواتنا.
| 3 | NIv2 | task1268_ted_translation_fa_ar | fs_opt | [
-0.6188598871231079,
0.5539275407791138,
-0.23516149818897247,
0.15858961641788483,
-1.1882202625274658,
-0.7712403535842896,
0.9550880193710327,
0.7716626524925232,
-0.08763233572244644,
-0.25129199028015137,
-1.4024819135665894,
0.4355227053165436,
-0.36060672998428345,
-0.38155248761177... |
Definition: From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Input: Given Relationship: 'be represent by', Sentence: 'Role in NPSTC : Governing Board Alternate representing the National Association of State Tele... | representing | 2 | NIv2 | task678_ollie_actual_relationship_answer_generation | zs_opt | [
-0.1239895150065422,
0.5760886073112488,
0.4407026171684265,
0.05341111868619919,
-0.2145226001739502,
-1.328007698059082,
0.8466248512268066,
-0.25623735785484314,
0.029220139607787132,
0.5876660346984863,
-0.4678386449813843,
0.08960381150245667,
-0.9433008432388306,
0.5253176689147949,
... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
--------
Question: 19, 22, ['5651', '... | 6037, U, 5295
| 7 | NIv2 | task091_all_elements_from_index_i_to_j | fs_opt | [
0.19392947852611542,
-0.30032360553741455,
-0.562481164932251,
-0.3438414931297302,
0.022767921909689903,
-0.572668194770813,
0.9648931622505188,
0.22852522134780884,
-0.5806464552879333,
-0.08693912625312805,
-0.8043221235275269,
0.4051676392555237,
-0.13857774436473846,
0.098070025444030... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
אחרי הכל, הם החליטו, והם עשו,
Solution: Afinal de contas elas é que decidem, e decidiram mesmo.
Why? ... | Não éramos levados a sério. | 0 | NIv2 | task1114_ted_translation_he_pt | fs_opt | [
0.16100281476974487,
0.8565515279769897,
0.4767179489135742,
0.27045297622680664,
-0.7267491817474365,
-0.2989005446434021,
0.8995906114578247,
0.4379013478755951,
0.8086674809455872,
-0.2879067659378052,
-0.11232369393110275,
0.45198220014572144,
-0.7453048825263977,
0.08771923929452896,
... |
Definition: You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Input: Statement: કનેરા (તા. ખેડા) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના મધ્ય ભાગમાં આવેલા... | ભારત | 2 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
0.31788134574890137,
0.5642021298408508,
0.32084235548973083,
-0.3082570433616638,
-0.10508514940738678,
-0.8612412810325623,
-0.2896236181259155,
1.3574833869934082,
-0.4745725393295288,
0.05999975651502609,
-0.1357848048210144,
0.21322067081928253,
-0.38139551877975464,
-0.19679009914398... |
A text is given in Hindi. Translate it from the Hindi language to the Oriya language. The translation must not omit or add information to the original sentence.
ये भी नहीं होगा कि सुबह आए, दिन में किसी कार्यक्रम में हिस्सा लिया और शाम को वापस चला जाए।
କେନ୍ଦ୍ର ପ୍ରାୟୋଜିତ ରାଷ୍ଟ୍ରୀୟ ଆୟୁଷ ମିଶନକୁ 1 ଏପ୍ରିଲ, 2017ରୁ 31 ମାର୍ଚ୍ଚ... | ଏହି କାମରେ ସହଯୋଗ ପାଇଁ ମୁଁ ପ୍ରଧାନମନ୍ତ୍ରୀ ଶେଖ୍ ହସିନା ମହୋଦୟ ଓ ମୁଖ୍ୟମନ୍ତ୍ରୀ ମମତା ବାନାର୍ଜୀଙ୍କୁ ହାର୍ଦ୍ଦିକ କୃତଜ୍ଞତା ବ୍ୟକ୍ତ କରୁଛି । ଧନ୍ୟବାଦ
| 0 | NIv2 | task985_pib_translation_hindi_oriya | fs_opt | [
-0.07164531946182251,
0.2342047393321991,
-0.2360401749610901,
-0.24358293414115906,
-0.11837979406118393,
-0.7115914821624756,
0.0928591713309288,
-0.24218763411045074,
-0.8533205986022949,
0.2001614272594452,
-0.11765819787979126,
-0.00693580461665988,
0.21964266896247864,
0.135983303189... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classi... | non-personal | 1 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.652223527431488,
0.16437073051929474,
0.3838505148887634,
0.5451270341873169,
-0.3127633333206177,
-0.34921377897262573,
0.6187212467193604,
0.9238759875297546,
-0.1984250545501709,
-0.10947781056165695,
-0.40344423055648804,
0.0648157000541687,
0.09739403426647186,
-0.46150997281074524... |
Detailed Instructions: Given a premise and two alternatives in Hindi, choose the alternative that is either a plausible cause or effect of the situation described by the premise. The premise is the 'कथन' field and the alternatives are the 'विकल्प A' and 'विकल्प B' fields. The output should either be "विकल्प A" or "विकल... | विकल्प B | 9 | NIv2 | task938_copa_hi_commonsense_reasoning | zs_opt | [
-0.08356983214616776,
0.1506064385175705,
-0.09472761303186417,
0.25831329822540283,
-0.6794983148574829,
-0.562262773513794,
0.8552020192146301,
0.3651965856552124,
0.590811550617218,
-0.3225717544555664,
-0.8119887113571167,
0.17723026871681213,
0.25896042585372925,
0.49681025743484497,
... |
In this task, you need to provide the correct option for a given problem from the provided options.
Example Input: Problem: in a circuit board factory , all circuit boards that pass a verification process are certified . every board that fails the verification process is indeed faulty , but 1 / 8 of those that pass ar... | a
| 3 | NIv2 | task1421_mathqa_other | fs_opt | [
-0.20474088191986084,
-0.10577522963285446,
-0.48484957218170166,
-0.2011236846446991,
0.013135225512087345,
0.23622748255729675,
0.10047800838947296,
0.9157191514968872,
-0.18522858619689941,
0.31695324182510376,
-0.10942129790782928,
0.16472715139389038,
0.44007036089897156,
-0.436674863... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Q: لم يكن هنالك صيغة
A: There was no format.
****
Q: وإنه لمن الأساسي أن نسخّر أرشيفا نخزن فيه التاريخ الشفوي محادثةٌ في كل حينٍ.
A: It's essentially a way to make a national oral histories archive one conversation at a ti... | By the end of our lunch, we acknowledged each other's openness.
****
| 4 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
-0.7468492388725281,
0.1912079155445099,
0.4515170156955719,
-0.6083367466926575,
-0.774773359298706,
0.8190773129463196,
1.3509548902511597,
-0.24884673953056335,
0.46826493740081787,
-1.1712621450424194,
-0.3165716826915741,
-0.447775661945343,
-0.6480715274810791,
0.2667657136917114,
... |
Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
works great good picture no problems and easy setup
Positive Review
Perfect for iPad 2
Positive Review
This laptop is very flimsy and has the worst click-pad (mouse pad) in the history of laptop computers! If you intend to move... | Negative Review
| 0 | NIv2 | task1343_amazon_us_reviews_rating | fs_opt | [
0.06028735637664795,
-0.5162246823310852,
-0.4257211685180664,
-0.10120390355587006,
0.11386002600193024,
-0.12821558117866516,
0.21736201643943787,
0.2811802923679352,
0.9991455078125,
0.5255956053733826,
0.0009860279969871044,
0.012454763054847717,
0.13748353719711304,
-0.414787471294403... |
instruction:
Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using wor... | no
| 9 | NIv2 | task115_help_advice_classification | fs_opt | [
0.07085449248552322,
0.38077014684677124,
0.24180109798908234,
-0.11075538396835327,
0.24057340621948242,
-1.2917499542236328,
0.7431440353393555,
0.7581945657730103,
-0.5767159461975098,
0.45503905415534973,
-0.16963548958301544,
-0.5638047456741333,
-0.215762659907341,
-0.424433439970016... |
Teacher: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pron... | The Chef has burned roast. | 2 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | fs_opt | [
-0.3460538983345032,
0.10455965250730515,
0.005804872140288353,
-0.6794866919517517,
0.3290437161922455,
0.14826540648937225,
-0.7607260942459106,
1.216456651687622,
0.048203594982624054,
-0.3494705855846405,
-0.2856462001800537,
0.0380755215883255,
-0.6095858812332153,
-0.7584382891654968... |
Given a sentence in Hindi, generate a new Hindi 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... | लोग अपनी तुलना दूसरों से कर सकते हैं । | 8 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | fs_opt | [
-0.014785260893404484,
0.9572450518608093,
0.8032002449035645,
-0.038609616458415985,
0.08121617883443832,
-0.9454222917556763,
-0.002361108548939228,
0.7303776741027832,
-0.5407747030258179,
-0.43020886182785034,
-1.0696436166763306,
-0.008854052051901817,
-0.4477523863315582,
-0.53294247... |
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using an... | Mindy had to miss practice.
****
| 4 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
-0.6002651453018188,
0.602306604385376,
-0.017345741391181946,
-0.8347876071929932,
-0.02162337675690651,
0.3122949004173279,
-0.14587154984474182,
0.1793152391910553,
-0.1325172483921051,
-0.3540170192718506,
-0.5572677850723267,
0.08703230321407318,
0.041281916201114655,
-0.2177866697311... |
Given the task definition, example input & output, solve the new input case.
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so... | trying to get a my half sisters father out of our house | 1 | NIv2 | task500_scruples_anecdotes_title_generation | fs_opt | [
0.5709773302078247,
0.35455816984176636,
0.03911896049976349,
0.20278748869895935,
0.9133197069168091,
-0.07476002722978592,
0.18875367939472198,
0.9453548789024353,
-0.2796144187450409,
0.6038859486579895,
-0.02871512994170189,
0.18563686311244965,
-0.5190742015838623,
0.15243634581565857... |
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 sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Italia... | オーストラリアのニューサウスウェールズ州中西部のバサーストでは、今夜の月食を観察するために数百人がマウント・パノラマに集まっている。 | 0 | NIv2 | task1116_alt_id_ja_translation | fs_opt | [
-0.13471706211566925,
0.8268544673919678,
-0.5978068113327026,
0.12095322459936142,
-0.2751336097717285,
-0.051103100180625916,
0.7976565361022949,
0.2419220507144928,
-0.068722665309906,
-0.4933832287788391,
-0.9988992214202881,
0.8307749032974243,
-0.6542437076568604,
0.5965930223464966,... |
In this task, you need to count the number of nouns/verbs in the given sentence.
Let me give you an example: Sentence: 'A small toy kept on tray held by a man'. Count the number of nouns in this sentence.
The answer to this example can be: 3
Here is why: The words 'toy', 'tray', and 'man' are nouns in this sentence. S... | 2 | 8 | NIv2 | task155_count_nouns_verbs | fs_opt | [
-0.1052534356713295,
1.0783755779266357,
-0.6842306852340698,
-0.7625506520271301,
-0.3640601336956024,
-0.23833264410495758,
0.4682844281196594,
0.5096173286437988,
-0.29343751072883606,
-0.29885050654411316,
-0.4576946794986725,
0.3713871240615845,
-0.6714674234390259,
0.4131418764591217... |
Definition: You are given a target person and two sentences. Your task is to determine whether the second sentence conveys either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stere... | anti-stereotype | 2 | NIv2 | task318_stereoset_classification_gender | zs_opt | [
-0.08214870095252991,
0.48018550872802734,
0.2171102613210678,
0.14507770538330078,
-0.20648977160453796,
-0.1476954221725464,
0.4975893795490265,
0.7453601360321045,
0.5354810953140259,
-0.3819918632507324,
-0.39850670099258423,
0.20110157132148743,
-0.49608707427978516,
-0.37786087393760... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
See one example below:
Problem: このアイデアはとてもシンプルで
Solution: A ideia é muito, muito simples.
Explanation: The Japanese sentence is correctly translated into Portugese, because the meaning is preserve... | que, claro, se espalhou de forma viral. | 4 | NIv2 | task1099_ted_translation_ja_pt | fs_opt | [
-0.4903547167778015,
0.6361318826675415,
0.015547076240181923,
-0.8892402648925781,
-0.437341570854187,
-0.9384016990661621,
0.2822258472442627,
1.007235050201416,
0.5147655010223389,
-0.8686325550079346,
-1.0508170127868652,
0.3101579546928406,
-0.7925228476524353,
0.15224707126617432,
... |
Instructions: You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expecte... | Text two | 3 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-0.6751258373260498,
0.7812522649765015,
0.01964881457388401,
-0.48482149839401245,
-0.13619348406791687,
0.23672881722450256,
1.4694299697875977,
-0.043206553906202316,
-0.008764782920479774,
0.37075182795524597,
-0.21803441643714905,
-0.7198585271835327,
-0.72784024477005,
0.362298965454... |
Given the task definition and input, reply with output. Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Poster: And t... | Neutral | 5 | NIv2 | task823_peixian-rtgender_sentiment_analysis | zs_opt | [
-0.9229897856712341,
-0.020433783531188965,
0.24141374230384827,
-0.11528054624795914,
0.023225979879498482,
-0.5269765853881836,
0.3125248849391937,
0.14636167883872986,
0.6702495813369751,
0.038080375641584396,
-0.5502737760543823,
0.056776490062475204,
-0.02928142063319683,
-0.437312185... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
Input: Consider Input: ليسا متحجرين ؛ في الواقع يمكننا تغييرهما.
Output: Não são feitos de pedra; podemos mesmo alterá-los.
Input: Consider Input: والكأس المقدسة بالطبع هنا هي الـ GPS dot
Output: O Santo Graal, claro, ... | Output: (risos) Quando algo é muito comum, já não é notícia — acidentes de carros, violência doméstica — esses são os riscos com que se devem preocupar.
| 2 | NIv2 | task1109_ted_translation_ar_pt | fs_opt | [
0.09750065952539444,
0.8389828205108643,
-0.3906095027923584,
-0.6240179538726807,
-0.6625149250030518,
-0.8362415432929993,
0.4261538088321686,
0.41567277908325195,
0.5724248886108398,
-0.05294764041900635,
-0.5192804932594299,
0.624742329120636,
0.007219995371997356,
-0.35645440220832825... |
Definition: In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
Input: There are also some indications of militant organized tribal groups forming to the west.
Output: | Plural | 2 | NIv2 | task430_senteval_subject_count | zs_opt | [
-0.8121271133422852,
0.6288695335388184,
0.08115892112255096,
-0.40927377343177795,
-0.7757209539413452,
-0.333878755569458,
1.1989600658416748,
-0.07173500955104828,
-0.31426501274108887,
-0.4838084578514099,
-0.39884239435195923,
-0.28665870428085327,
-0.42622438073158264,
-0.18677283823... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Input: These little chippies, these things are the size of a credit card.
Output: | Estas pequeñas cositas son del tamaño de una tarjeta de crédito. | 2 | NIv2 | task1219_ted_translation_en_es | zs_opt | [
-0.8667731881141663,
-0.043978579342365265,
-0.8047456741333008,
-0.44155436754226685,
-0.35243886709213257,
-0.6493481993675232,
-0.19637498259544373,
1.1527434587478638,
0.6339735388755798,
-0.38111910223960876,
-0.30424779653549194,
0.3269183933734894,
0.14556162059307098,
-0.5896490812... |
Teacher:You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an... | anti-stereotype | 6 | NIv2 | task320_stereoset_classification_race | zs_opt | [
-0.14187249541282654,
0.3030155301094055,
0.2599772810935974,
-0.03635580837726593,
0.09242970496416092,
-0.2581099271774292,
0.5232468843460083,
1.0870840549468994,
0.632717490196228,
-0.16099828481674194,
-0.5582847595214844,
-0.6508506536483765,
-0.7623600959777832,
-0.27226924896240234... |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
خوب چیزی که شما اینجا می بینید تفاوت دارد.
| ここに見えるのがその差です | 5 | NIv2 | task1266_ted_translation_fa_ja | zs_opt | [
-0.8247811794281006,
0.5766830444335938,
0.04719085246324539,
0.03737508878111839,
-0.3022100329399109,
-0.02235102280974388,
0.30450230836868286,
0.2031557857990265,
0.48780912160873413,
-0.553764283657074,
-0.4245796203613281,
0.2871311902999878,
-0.19095532596111298,
0.6808860898017883,... |
Detailed Instructions: In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
Q: I wanted to like this item and had seen the generally favorable reviews. I loaded it with some liver treats and opened ... | False | 9 | NIv2 | task590_amazonfood_summary_correction_classification | zs_opt | [
-0.7903155088424683,
0.12858378887176514,
-0.09628823399543762,
0.09160640835762024,
-0.30541685223579407,
-0.10798143595457077,
0.17249496281147003,
0.19417977333068848,
-0.4565846025943756,
-0.4593358039855957,
-0.17803150415420532,
0.6290973424911499,
-1.0602803230285645,
0.216475784778... |
Given the task definition and input, reply with output. The task is to generate the correct answer for a given math problem.
Problem: in a school with 5 classes , each class has 2 students less than the previous class . how many students are there in the largest class if the total number of students at school is 105 ?... | 25 | 5 | NIv2 | task1726_mathqa_correct_answer_generation | zs_opt | [
0.029723405838012695,
0.38015782833099365,
-0.07163579761981964,
-0.024870125576853752,
-0.044144779443740845,
0.0852159932255745,
-0.24537445604801178,
0.6793943047523499,
0.056942541152238846,
-0.5176975727081299,
-0.4426797032356262,
0.04024282842874527,
-0.05090932548046112,
0.15886612... |
Detailed Instructions: Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
Problem:Context: As of May, 2010, the California Secretary of State reports that San Benito County has 34,562 elig... | republican | 8 | NIv2 | task469_mrqa_answer_generation | zs_opt | [
0.1027616634964943,
0.45904386043548584,
-0.16069117188453674,
-0.02797994762659073,
-1.0178838968276978,
-0.6090744137763977,
-0.1194833368062973,
0.7868813872337341,
0.13259699940681458,
0.2274160236120224,
0.6021404266357422,
0.18698035180568695,
0.1529066115617752,
-0.3696916699409485,... |
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 bei... | « ولئن » لام قسم « عدتم إلى بيوتكم » إلى منازلكم « فأعرضوا » عن الإيمان « عن سراجكم » الفراش.
****
| 4 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | fs_opt | [
0.09043186157941818,
0.547066867351532,
0.11669738590717316,
-0.8773072957992554,
-0.390682190656662,
-0.909436821937561,
1.0023822784423828,
1.2276089191436768,
-0.04013559967279434,
-0.3761945962905884,
-0.9757242202758789,
0.41117537021636963,
-1.3565888404846191,
-0.31700074672698975,
... |
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Example: Statement: Next to the MGM Grand you will find M and M Worl... | Solution: 1 | 5 | NIv2 | task202_mnli_contradiction_classification | fs_opt | [
0.2823154330253601,
0.1175985336303711,
0.08410456776618958,
-0.23792096972465515,
0.3478873670101166,
-0.8797173500061035,
-0.23869800567626953,
0.5920594930648804,
-0.06537553668022156,
-0.1133875846862793,
-0.4579470157623291,
-0.6589808464050293,
0.19788846373558044,
-0.922982752323150... |
instruction:
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.
question:
Ang nakakatandang mamamahayag ay nabaril sa mukha matapos dumating sa bahay galing sa trabaho at sa isang istasyong panrady... | 今回のビデオにはビン・ラディンの新しい映像が含まれているとの報道もある。
| 9 | NIv2 | task1119_alt_fil_ja_translation | fs_opt | [
-0.5916703939437866,
0.41938716173171997,
-0.12143541872501373,
-0.4089735150337219,
-0.3561125695705414,
0.33543694019317627,
0.4298294186592102,
0.8041337728500366,
-0.20550623536109924,
-0.11132250726222992,
-1.011995553970337,
0.4168035686016083,
-1.1282215118408203,
0.6427375078201294... |
You will be given a definition of a task first, then some input of the task.
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... | Toby's comic book collection wouldn't fit in the closet because the _ was too small. | 1 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.736457347869873,
0.0890088826417923,
0.37826913595199585,
-0.10975849628448486,
0.7470738291740417,
-0.828062891960144,
0.6963035464286804,
0.966392993927002,
-0.6923810243606567,
-0.4435887336730957,
-0.5232408046722412,
0.3158220052719116,
-0.4469105303287506,
-0.07518318295478821,
0... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Example: Katrina gave Christine a stuffed animal for their birthday, but _ already had this one. (A) Katrina (B) Christine
Example solution: B
Example exp... | Solution: A | 5 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
0.03408583998680115,
0.2659652829170227,
-0.3194822072982788,
-0.5455389022827148,
-0.20312976837158203,
-0.7890604734420776,
0.6627408266067505,
0.8545312285423279,
-0.07006686925888062,
0.07982414215803146,
0.31094294786453247,
0.8998709321022034,
0.15561901032924652,
0.00457434076815843... |
In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
One example: Premise: و شما ... | Neutral | 6 | NIv2 | task463_parsinlu_entailment_classification | fs_opt | [
-0.45907342433929443,
0.5056711435317993,
0.28184813261032104,
-0.11729024350643158,
-0.2768959403038025,
-0.5203505754470825,
0.6263231635093689,
1.1500771045684814,
0.543880820274353,
-0.32477372884750366,
-0.7978864908218384,
0.3463466763496399,
-0.3060183823108673,
-0.37615928053855896... |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Article: Over three years ago, the Fre... | Yes
| 0 | NIv2 | task310_race_classification | fs_opt | [
1.2977358102798462,
0.5008120536804199,
-0.13453558087348938,
0.3052099049091339,
0.8703365325927734,
-1.274728775024414,
0.8193561434745789,
1.0587682723999023,
-0.23619946837425232,
0.4407036602497101,
0.11050370335578918,
-0.4708622097969055,
-0.7249476909637451,
0.020006544888019562,
... |
Q: In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
But it definitely had its areas, and I was one to soon find that out.
A: | Plural | 7 | NIv2 | task431_senteval_object_count | zs_opt | [
-1.3606305122375488,
0.7671666145324707,
0.18959850072860718,
0.03487001359462738,
-0.2922586500644684,
-0.7117511630058289,
0.7198458909988403,
0.1961442083120346,
0.0653473436832428,
-0.3749000132083893,
-0.04025118052959442,
0.3317914605140686,
-0.6613222360610962,
-0.23721998929977417,... |
Given the task definition and input, reply with output. You are given a mathematical question described with a circumscribed mathematical vocabulary. Questions in this task usually contain some variables (e.g. X, Y), equations (e.g. X+Y=3) and some relationships (X is greater than Y). Often you need to find the value o... | C | 5 | NIv2 | task104_semeval_2019_task10_closed_vocabulary_mathematical_answer_generation | zs_opt | [
-0.22751381993293762,
0.19404706358909607,
-0.8896918296813965,
0.08683128654956818,
-0.037886157631874084,
-0.3112301230430603,
0.5503444075584412,
1.0077775716781616,
0.26485446095466614,
-0.509074330329895,
-1.1655702590942383,
-0.30265235900878906,
0.3113900423049927,
-0.47079405188560... |
Detailed Instructions: In the following task, you are given a yes/no question, its answer, and additional information which includes a description of a key term in the question and several facts. Your task is to "decompose the question"i.e. write the steps required to construct the given answer where each step is a que... | Step1: Who was the first to use live models in fashion designing?, Step2: Who was #1's first model?, Step3: Is #2 member of #1's family?, Wikipedia page for step 1: Charles Frederick Worth, Wikipedia page for step 2: Charles Frederick Worth, Wikipedia page for step 3: , not_definitive_answer: False, incorrect_answer: ... | 8 | NIv2 | task168_strategyqa_question_decomposition | zs_opt | [
0.2713029384613037,
-0.3426617681980133,
-0.6844407320022583,
0.6375619173049927,
0.3448328375816345,
-0.1091977059841156,
0.6872364282608032,
0.6274150609970093,
0.062243737280368805,
0.5225906372070312,
-0.28475135564804077,
-0.20828577876091003,
-0.17917867004871368,
0.13013365864753723... |
Teacher:Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
... | girl HasProperty child | 6 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
-0.2705378234386444,
0.9489381313323975,
0.2833298146724701,
-0.7983542680740356,
-0.5052106380462646,
-0.8199892044067383,
0.3878529369831085,
0.5627955198287964,
0.474245548248291,
-0.3343229591846466,
-0.26783499121665955,
0.4730168581008911,
-0.8208683729171753,
0.011022382415831089,
... |
This task is about translating a given Spanish language sentence to English.
[EX Q]: Es posible pero no es tan fácil como los neo-advaitistas pretenden que es, o reclaman que es.
[EX A]: It is possible but it is not as easy as the neo-advaitists, they pretend it is, or they claim it is.
[EX Q]: Después de todo otra v... | So there's all these processes to make sure things are built properly.
| 6 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.4190179109573364,
0.11948144435882568,
0.4548051357269287,
-0.31540513038635254,
-0.19919736683368683,
-0.8293955326080322,
0.05881940945982933,
1.458776593208313,
0.02203327789902687,
-0.1654723882675171,
0.4762979745864868,
-0.5474721193313599,
-0.04500104486942291,
-0.471355587244033... |
In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index at 1, so the first eleme... | [-8, -5, -13, 13, -13, 1, -19]
| 0 | NIv2 | task096_conala_list_index_subtraction | fs_opt | [
0.32895907759666443,
0.2691802680492401,
-0.5769315958023071,
-0.1344262659549713,
0.2566379904747009,
-0.1913994997739792,
1.2038646936416626,
0.5437834858894348,
-0.18732793629169464,
0.16046786308288574,
-0.8386843204498291,
-0.363483726978302,
-0.6786755919456482,
-0.02244497835636139,... |
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: gdmornin everyone
Answer: positive
Question: @MsBags28 It's raining there? ...... it's 70+ and Sunny here : D
Answer: negative
Que... | positive
| 7 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.1510686874389648,
0.11868294328451157,
0.5274293422698975,
0.0818435400724411,
0.26105058193206787,
-1.969542384147644,
-0.5007258057594299,
0.7445662021636963,
0.5301591157913208,
0.41696321964263916,
-0.6382489800453186,
-0.536342978477478,
-0.43147021532058716,
-0.7827057242393494,
... |
Given the task definition, example input & output, solve the new input case.
Construct a question that every answer in the list is correct and reasonable for it.
Example: umbrella, sunscreen, sun hat, sunglasses, cover up, shade
Output: at the beach, name something that might protect you from sun.
umbrella, sunscreen, ... | name the hardest position to play on a baseball team | 1 | NIv2 | task821_protoqa_question_generation | fs_opt | [
0.38994020223617554,
0.37181949615478516,
-1.1255038976669312,
0.06513278186321259,
0.2093338966369629,
-1.439718246459961,
-0.6467291116714478,
0.5172115564346313,
0.5270767211914062,
-0.32108989357948303,
-0.3406890630722046,
-0.029651734977960587,
-0.19668865203857422,
-0.79553127288818... |
In this task, you need to provide the correct option for a given problem on probability from the provided options.
Q: Problem: from a pack of 52 cards , two cards are drawn together at random . what is the probability of one is a spade and one is a heart ?
Options: a ) 102 / 102 , b ) 5 / 102 , c ) 1 / 102 , d ) 8 / 1... | e | 4 | NIv2 | task1424_mathqa_probability | zs_opt | [
-0.027380360290408134,
0.034676581621170044,
-0.6413651704788208,
0.13561329245567322,
0.2438567578792572,
-0.7784175872802734,
0.683810830116272,
0.09787079691886902,
0.364030122756958,
-0.09079204499721527,
0.4513619542121887,
0.4731106460094452,
0.27213987708091736,
0.053489893674850464... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
I was a scared, scared like anything. | خیلی وحشت داشتم، از همه چیز میترسیدم. | 0 | NIv2 | task663_global_voices_en_fa_translation | zs_opt | [
-0.03729679435491562,
0.896958589553833,
-0.5426229238510132,
-0.1698494851589203,
-0.6248589754104614,
-0.660747766494751,
0.4201364517211914,
0.9244344234466553,
0.571330189704895,
0.1421816200017929,
-0.5323842167854309,
0.14874905347824097,
-1.2139604091644287,
-0.34526604413986206,
... |
Two analogies that relate items to the associated containers is given in the form "A : B. C : ?". "A : B" relates item A to its associated container B. Your task is to replace the question mark (?) with the appropriate container for the given item C, following the "A : B" relation.
trash : can. detergent : ?
bottle
k... | box
| 0 | NIv2 | task1159_bard_analogical_reasoning_containers | fs_opt | [
-0.026166189461946487,
1.6093639135360718,
-0.26819300651550293,
0.2868651747703552,
-0.5159060955047607,
0.042018186300992966,
-0.048744991421699524,
1.0731308460235596,
-0.222345232963562,
-0.18963655829429626,
-0.2300681471824646,
0.43444037437438965,
-0.2964220643043518,
-0.02886766940... |
Detailed Instructions: You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Q: The situation makes Tanisha feel relieved.
A: | female | 9 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.22081220149993896,
0.5527899861335754,
-0.444817453622818,
-0.9783929586410522,
-0.4592374265193939,
-0.3483712673187256,
0.3510594367980957,
0.4058138132095337,
1.1392855644226074,
0.4327744245529175,
-0.6335625648498535,
-0.03561665862798691,
-0.8332871198654175,
0.37871551513671875,
... |
Instructions: Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
Input: An unnamed third party does see your unspecified personal informa... | Generic personal information | 3 | NIv2 | task684_online_privacy_policy_text_information_type_generation | zs_opt | [
-0.8468815088272095,
0.6778967380523682,
-0.4725337028503418,
0.21325060725212097,
-0.7596120834350586,
-0.5253526568412781,
0.6506990790367126,
0.3163796067237854,
0.3306201994419098,
0.6635396480560303,
-0.004334374330937862,
0.14669941365718842,
0.06441712379455566,
-0.8284959197044373,... |
Instructions: "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and... | Response 1 | 3 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | zs_opt | [
0.005248369183391333,
1.1599657535552979,
0.418563574552536,
-0.12698140740394592,
0.23364858329296112,
-1.0577985048294067,
0.27840137481689453,
0.668673574924469,
0.1894792914390564,
-0.07455350458621979,
-0.562410831451416,
-0.3621405363082886,
-0.9390235543251038,
0.36924830079078674,
... |
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Example input: Question: When did the oper... | These include First Prize at the 1940 American Negro Exposition in Chicago, induction into the Salón de la Plástica Mexicana in 1956, the Distinguished Alumni Award from the University of Iowa in 1996, a 1998 50-year traveling retrospective of her work sponsored by the Newberger Museum of Art at Purchase College, a NAA... | 3 | NIv2 | task234_iirc_passage_line_answer_generation | fs_opt | [
0.021312501281499863,
0.052779022604227066,
-0.579932451248169,
0.023253897204995155,
0.47541457414627075,
-0.6583395600318909,
-0.047766219824552536,
0.9448972940444946,
0.33677875995635986,
0.10016059875488281,
-0.049396563321352005,
-0.014467437751591206,
-0.429059237241745,
-0.00364726... |
Detailed Instructions: In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shakin... | go back to what you were originally quitting. | 9 | NIv2 | task080_piqa_answer_generation | zs_opt | [
-0.23155799508094788,
0.6478391289710999,
-0.4089270830154419,
0.31027841567993164,
-0.5780938863754272,
0.10924221575260162,
-0.48247021436691284,
0.3575163185596466,
-0.0725729689002037,
0.507764458656311,
-0.9093071222305298,
0.42561036348342896,
-0.55329430103302,
0.6779683828353882,
... |
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 deter... | Yes
****
| 4 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.04020898416638374,
-0.11886393278837204,
0.46672123670578003,
0.06727879494428635,
-0.4857856333255768,
-1.2091964483261108,
1.239328145980835,
0.7169296145439148,
-0.6530119180679321,
-0.3785249590873718,
-0.55470871925354,
-0.34468796849250793,
-1.0915181636810303,
0.44442009925842285,... |
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 correct sub... | Output: False
| 2 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.9808686971664429,
0.25868138670921326,
-0.36878132820129395,
0.03920445963740349,
-0.5766960382461548,
-0.6574909687042236,
0.09980181604623795,
0.3070809543132782,
0.3220633268356323,
-0.10959029942750931,
-0.28218144178390503,
0.08374525606632233,
-0.03227441757917404,
0.0764297097921... |
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)... | Och man måste ställa om dem till havsnivån och räkna om värdena till Fahrenheit, och inte ens då förstår jag vad de menar. | 3 | NIv2 | task1648_opus_books_en-sv_translation | fs_opt | [
-0.859447717666626,
0.4738990068435669,
-0.7964158654212952,
-0.6909195184707642,
0.11994846165180206,
-0.6746967434883118,
1.044114351272583,
-0.3213345408439636,
0.11459587514400482,
-0.8647392392158508,
0.09840384870767593,
1.187612533569336,
-0.9282976984977722,
-0.11096379160881042,
... |
Teacher: Given a sentence in Bulgarian, generate a new Bulgarian 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 probab... | Възможно е да заредите малко магаре в суджуд. | 2 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | fs_opt | [
0.2913701832294464,
0.1585714966058731,
-0.17060472071170807,
-0.532599925994873,
-0.010964015498757362,
-1.0388538837432861,
1.0691885948181152,
1.219796895980835,
0.907110333442688,
-0.34295201301574707,
-0.1191374659538269,
1.051356315612793,
-0.24696749448776245,
-0.34481701254844666,
... |
In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage while... | False
****
| 4 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.805219292640686,
0.3927643597126007,
-0.6111491918563843,
0.17321893572807312,
0.24287518858909607,
-0.6491264700889587,
0.7009192109107971,
0.7048149108886719,
-0.06259360164403915,
0.26085469126701355,
-0.404474139213562,
1.1905274391174316,
-0.4201623797416687,
0.3666696548461914,
-... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about ... | weakener | 1 | NIv2 | task935_defeasible_nli_atomic_classification | zs_opt | [
0.09737780690193176,
0.27766290307044983,
-0.41247034072875977,
-0.12253964692354202,
0.2338627278804779,
-0.8996162414550781,
1.2260940074920654,
1.1289327144622803,
0.46860551834106445,
-0.5136691331863403,
-1.1438452005386353,
-0.4776802062988281,
-0.5718988180160522,
-0.159710913896560... |
Detailed Instructions: You are given a passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be answered correctly without actually understanding the... | Can someone narrate Hindu mythology Ramayana in brief.....where can I find it on website? | 4 | NIv2 | task1594_yahoo_answers_topics_question_generation | fs_opt | [
-0.6176717281341553,
0.38984280824661255,
-0.7271728515625,
0.3751918077468872,
0.44676631689071655,
0.4005090296268463,
-0.2117113173007965,
0.8820127844810486,
0.19026429951190948,
0.7334659695625305,
0.04533591866493225,
0.12036643922328949,
-0.0734291821718216,
0.2809911370277405,
-0... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
y es ahí donde ellos consiguen mucha de su inspiración creativa. Es una industria con estrategias de gestión de arriba a abajo y viceversa. | E é aí que vão buscar boa parte da inspiração criativa. É uma indústria com uma abordagem que é tanto ascendente como descendente. | 0 | NIv2 | task1104_ted_translation_es_pt | zs_opt | [
-0.8892514705657959,
0.7504321932792664,
-0.15420007705688477,
-0.5277422666549683,
-0.4671909809112549,
-0.5856540203094482,
-0.8886348009109497,
1.2635408639907837,
0.5607819557189941,
-0.19122260808944702,
-0.6391503810882568,
-0.04483582079410553,
-0.25156325101852417,
0.32305455207824... |
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting ... | 964l
| 3 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
-0.24377232789993286,
0.22034911811351776,
-0.49662941694259644,
-0.1995568573474884,
-0.12210291624069214,
0.11976031213998795,
0.6766977906227112,
0.582325279712677,
-0.6384827494621277,
0.13914275169372559,
-0.9245136976242065,
-0.1069190576672554,
0.22923199832439423,
-0.34435623884201... |
In this task, you are given a hateful post in English from online platforms. You are expected to classify the post into two classes: aggresive or non-aggresive. An aggresive post is one that expresses feelings and opinions in an abusive way and tries to dominate others. Note that the URLs in the text have been replaced... | Aggresive
****
| 4 | NIv2 | task335_hateeval_classification_aggresive_en | fs_opt | [
-0.7853069305419922,
0.4400702118873596,
0.4309743344783783,
0.1284921020269394,
-0.060596074908971786,
-0.31207582354545593,
1.2361823320388794,
0.8268736004829407,
0.2798600196838379,
0.38716012239456177,
0.1565726399421692,
-0.02235383912920952,
-0.9786549806594849,
-0.6206162571907043,... |
In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, v... | Y
| 0 | NIv2 | task204_mnli_same_genre_classification | fs_opt | [
-0.8590282201766968,
0.3881460130214691,
-0.1023363247513771,
-0.4501469135284424,
0.09518280625343323,
0.35557836294174194,
0.11265625059604645,
0.5887691974639893,
0.3387116491794586,
0.13024237751960754,
-0.513292670249939,
0.14253607392311096,
-0.67494797706604,
-0.0243341326713562,
... |
Given a sentence in Japanese, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
One example: 1975 - 76年のNBAシーズンは、全米バスケットボール協会の30番目のシーズンでした。
Solution is here: La saison 1975-1976 de la National Basketball Association était la 30e sais... | En supposant que les relations de causalité soient linéaires, cette connaissance de base peut être exprimée dans la spécification SEM suivante (modèle d'égalisation structurelle). | 6 | NIv2 | task815_pawsx_japanese_french_translation | fs_opt | [
0.018360761925578117,
-0.4046846330165863,
0.3598778247833252,
-0.5959257483482361,
0.17349353432655334,
-0.8783499598503113,
0.39227592945098877,
0.628645658493042,
0.2507808208465576,
0.5145710706710815,
-0.25257253646850586,
0.943757176399231,
-0.6848687529563904,
-0.11354075372219086,
... |
You will be given a definition of a task first, then some input of the task.
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 (... | She is a patient at a hospital . | 1 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
-0.6115981340408325,
0.5323259830474854,
-0.42956188321113586,
0.022960802540183067,
-0.48142504692077637,
-0.6824393272399902,
0.9267598986625671,
1.0219166278839111,
0.6577875018119812,
-0.4879392981529236,
-0.2428644448518753,
0.20072859525680542,
-0.5371212959289551,
0.0352737233042717... |
Given the task definition and input, reply with output. In this task you will be given a list of strings and you need to concatenate them.
['I', 'a', 't', 'the', 'u', 'light', 'I', 'y', 'A', 'j', 'g', 'Y', 'power,', 'K', 'brush', 'a']
| IattheulightIyAjgYpower,Kbrusha | 5 | NIv2 | task079_conala_concat_strings | zs_opt | [
-0.15732666850090027,
0.8833681344985962,
-0.05008962005376816,
-0.4380108118057251,
0.27981331944465637,
-0.7997522354125977,
0.09254433959722519,
0.24797284603118896,
0.124662384390831,
0.13946089148521423,
-0.2910909056663513,
0.21236637234687805,
-0.19655796885490417,
-0.35973498225212... |
Q: The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
PersonX continues throughout life
A: | motivated | 7 | NIv2 | task1595_event2mind_text_generation_1 | zs_opt | [
-0.16397641599178314,
0.543311595916748,
0.020501473918557167,
-0.5910068154335022,
-0.4876216650009155,
-0.7837082743644714,
1.0623615980148315,
0.6773682832717896,
-0.10048063099384308,
-0.5008120536804199,
-0.042406365275382996,
0.14555183053016663,
-0.6658766269683838,
0.54419195652008... |
In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
One example is below.
Q: Ulwakhiwo neempawu zentsinga zemifuno.
A: Construction and characteristics of vegetable fibre cordage.
Rationale: 'Ulwakhiwo nee... | The Officer of the Watch is expected to see that boats are alongside the gangway by the times laid down in the boat routine. | 9 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | fs_opt | [
-0.059901297092437744,
0.4793655276298523,
0.24195541441440582,
-0.0985131785273552,
-0.16020885109901428,
-0.5339118242263794,
1.1085858345031738,
0.525180459022522,
-0.13056500256061554,
0.10428207367658615,
-0.27699244022369385,
-0.12381051480770111,
-0.7854629755020142,
0.3816337883472... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Q: العديد منكم يعلم بأن ، نظرية التطور تعمل بآليتين أساسيتين ،
A: همانطور که بسیاری از شما می دانید ، فرگشت توسط دو مکانیسم اصلی عمل میکند.
****
Q: هذه التكنولوجيا تمكننا من التعمق أكثر مما كان يمكن أن نتصور قبل 10 أعوام.
A:... | هر روزی که نمیتوانند غذا بخورند ، کمی از آینده شان نابود میشود.
****
| 4 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.8233801126480103,
0.5028517842292786,
-0.24780979752540588,
0.17796066403388977,
-0.8198443055152893,
-0.47030699253082275,
0.4558834135532379,
0.46587204933166504,
-0.17227360606193542,
-0.25847265124320984,
-1.1780669689178467,
-0.44244998693466187,
-0.3846000134944916,
0.530841231346... |
Definition: 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 t... | turn left twice after turn opposite right thrice | 2 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.4327981173992157,
0.4541783332824707,
-0.6124568581581116,
0.1464201807975769,
0.010721536353230476,
-0.03952576965093613,
0.21963176131248474,
0.6345059871673584,
0.1269153207540512,
-0.055207762867212296,
-0.7484312653541565,
-0.3916589915752411,
-0.6772056818008423,
-0.014022674411535... |
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