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 |
|---|---|---|---|---|---|---|
instruction:
In this task, you are given a question in English, and your task is to translate it into Persian.
question:
Can we expect time travel to become a reality?
answer:
آیا می توانیم انتظار داشته باشیم که سفر زمانی به واقعیت تبدیل شود؟
question:
Why do people often ask questions in Quora while they can Google ... | زندگی پس از پاس کردن SSC CGL چگونه است؟
| 9 | NIv2 | task652_parsinlu_en_fa_translation | fs_opt | [
-1.2500358819961548,
0.7001782655715942,
-0.2816048264503479,
-0.20671208202838898,
-0.7795726656913757,
-0.6031984090805054,
0.4873809218406677,
0.14791271090507507,
-0.07147908210754395,
-0.4341585040092468,
0.04241595417261124,
1.0617866516113281,
-0.10220178216695786,
0.270257622003555... |
Teacher: 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... | I_TURN_RIGHT I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_TURN_RIGHT I_LOOK I_RUN | 2 | NIv2 | task128_scan_structured_text_generation_command_action_short | fs_opt | [
0.06278233230113983,
0.6610661745071411,
-0.1754833608865738,
-0.08289958536624908,
0.12633459270000458,
0.16430412232875824,
0.09993194043636322,
0.24077101051807404,
-0.17538048326969147,
-0.4052457809448242,
-0.7412257790565491,
-0.2688579559326172,
-0.7998842597007751,
-0.2036481499671... |
Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
One example is below.
Q: excavator, crane, pelican, hoist, upraise
A: pelican
Rationale: The common category here are words related to construction. A pelican ... | jab | 9 | NIv2 | task142_odd-man-out_classification_no_category | fs_opt | [
0.1483149230480194,
0.6266913414001465,
0.11680537462234497,
-0.06338660418987274,
0.01565648801624775,
0.20327132940292358,
0.45943140983581543,
0.17704996466636658,
0.046633280813694,
-0.2694254219532013,
-1.0177031755447388,
0.19611820578575134,
-0.6478044986724854,
0.39766231179237366,... |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Let me give you an example: But if the shares belong to Geoffrey Charles, well, then George cannot touch them.
The answer to this example can be: لكن لو كانت الأسهم بإسم جوفري تشارلز لن يمكن لجورج المساس بهم.
Here i... | الآن كما ترون بكل وضوح بلوبيل | 8 | NIv2 | task651_opus100_en_ar_translation | fs_opt | [
0.15297219157218933,
0.767907977104187,
0.02612079679965973,
-1.0578746795654297,
-0.5443700551986694,
-0.10110408067703247,
1.1459614038467407,
0.28166982531547546,
0.21847708523273468,
-0.7191234230995178,
-0.4268275797367096,
0.6592732667922974,
-0.43133828043937683,
-0.1814582496881485... |
Instructions: In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it s... | Yes | 3 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-0.32960695028305054,
0.3140872120857239,
0.8074917793273926,
0.4161742329597473,
-0.15166769921779633,
-0.4736400246620178,
0.07094943523406982,
0.8280526399612427,
-0.2815873920917511,
-0.2600606679916382,
0.09731680154800415,
0.4829038381576538,
-0.8409922122955322,
-0.17565730214118958... |
Teacher: In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Teacher: No... | No | 2 | NIv2 | task114_is_the_given_word_longest | fs_opt | [
0.10001392662525177,
1.052027940750122,
-0.4669562578201294,
-0.5264261960983276,
-0.06135587766766548,
-0.638098955154419,
0.47877585887908936,
0.4924169182777405,
0.45959776639938354,
-0.5058243274688721,
-0.48606809973716736,
0.697984516620636,
-0.2474658489227295,
-0.3713342845439911,
... |
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 | task1207_atomic_classification_atlocation | zs_opt | [
0.03839327022433281,
0.19267407059669495,
0.2995471954345703,
0.18810614943504333,
-0.5349806547164917,
-0.9006046652793884,
0.7234489321708679,
0.3797191381454468,
-0.6418306827545166,
-0.49912261962890625,
-0.3898298144340515,
-0.37907058000564575,
-0.6489580273628235,
0.1908049583435058... |
In this task, you are given an app review. Your task is to identify whether its sentiment is "Positive" or "Negative".
Example Input: Really cool gadget for RF engineers Restarts driver when changing orientation. Please fix that. Additionally would like to have MUTE button alongside with other buttons. Another issue i... | Negative
| 3 | NIv2 | task761_app_review_classification | fs_opt | [
-0.7163127660751343,
-0.18524664640426636,
-0.2279239147901535,
-0.8258809447288513,
0.3198297619819641,
-1.0915076732635498,
0.33781763911247253,
0.5904147028923035,
-0.12778450548648834,
0.25186118483543396,
-0.9092533588409424,
-0.5326523780822754,
0.4437803030014038,
-0.545697450637817... |
Instructions: 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".
Input: Japanese: 彼女は、ベトナムの教会から来た仲間の牧師によって慰められていた。
Thai: เขาได้ถูกนำตัวส่งโรงพยาบาลเมื่อวาน เ... | No | 3 | NIv2 | task1129_alt_ja_th_answer_generation | zs_opt | [
0.04692881554365158,
-0.2650810182094574,
0.09695085883140564,
0.37266993522644043,
0.11287970840930939,
-1.4399739503860474,
0.772611141204834,
0.32640552520751953,
-0.2863563895225525,
-0.2897722125053406,
-0.21937210857868195,
0.6361725330352783,
0.017407236620783806,
0.8680626153945923... |
Detailed Instructions: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is co... | Option 1 | 9 | NIv2 | task065_timetravel_consistent_sentence_classification | zs_opt | [
-0.750388503074646,
0.5934460759162903,
0.3450857400894165,
-0.27167296409606934,
0.1593950390815735,
-0.2926682233810425,
0.8097888231277466,
1.115452766418457,
-0.06907384097576141,
0.48007380962371826,
-0.05142861604690552,
-0.8098973035812378,
-0.09915803372859955,
-0.5261091589927673,... |
Given an abstract, indicate which of the provided candidate titles (Option1 and Option2) best describes it (respond with the text of the title, not option1/2).
[Q]: Abstract: We examined the effectiveness of instruments that describe a child's locus of control and perceived self-competence as predictors of outcome in ... | C3a and adult respiratory distress syndrome after massive transfusion.
| 5 | NIv2 | task624_ohsumed_question_answering | fs_opt | [
0.479388028383255,
0.11421291530132294,
-0.5142441987991333,
0.2053186595439911,
0.4785829186439514,
-0.722376823425293,
0.43180182576179504,
0.6871802806854248,
0.30738943815231323,
0.40358659625053406,
-0.43996500968933105,
0.30009591579437256,
-0.07230452448129654,
0.22583448886871338,
... |
You are given a paragraph, a question and some answer options (associated with "A", "B", "C", "D", etc.) You need to list all the correct answer options with their associated letters (e.g. "A" can be a valid answer). Note that sometimes, more than one option can answer the question correctly and completely. In those ca... | B.
****
| 4 | NIv2 | task058_multirc_question_answering | fs_opt | [
0.2828262448310852,
0.41088032722473145,
-0.7663681507110596,
0.07093528658151627,
-0.15235857665538788,
-1.5269904136657715,
0.4099389314651489,
0.8228427171707153,
-0.375355064868927,
0.0006888438947498798,
-0.5902371406555176,
0.19638782739639282,
-0.5086725950241089,
0.1557908356189727... |
Teacher:In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M ... | B | 6 | NIv2 | task611_mutual_multi_turn_dialogue | zs_opt | [
-0.2244722694158554,
0.2650187611579895,
0.2467242181301117,
-0.340623676776886,
0.41734805703163147,
0.4295951724052429,
0.45566749572753906,
0.7412590980529785,
0.4419955015182495,
-0.1255444437265396,
-0.6420129537582397,
-0.11900864541530609,
0.18376097083091736,
-0.6021186709403992,
... |
Detailed Instructions: The provided file includes inquiries about restaurants, and we ask you to translate those to the Polish language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NO... | chcę znaleźć "brenda 's french soul food". | 4 | NIv2 | task175_spl_translation_en_pl | fs_opt | [
-0.5226274728775024,
0.8451075553894043,
-0.2535952627658844,
0.14051499962806702,
-0.05936259776353836,
-0.5543856620788574,
1.1362829208374023,
0.18568947911262512,
-0.2044421136379242,
-0.35261765122413635,
0.2222907841205597,
0.3428923487663269,
-0.39898496866226196,
0.2532093524932861... |
Detailed Instructions: In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
See one example below:
Problem: Context: Joanne McLeod is a Canadian figure... | 1984 | 4 | NIv2 | task1296_wiki_hop_question_answering | fs_opt | [
0.37707579135894775,
0.635759711265564,
-0.7493605017662048,
-0.3068743348121643,
0.43110954761505127,
0.21439018845558167,
0.7458597421646118,
0.806928277015686,
-0.30264005064964294,
0.09115409851074219,
-0.09257832169532776,
0.6597260236740112,
-0.6504659652709961,
0.5093403458595276,
... |
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the questi... | Wool was used to make sweaters but not pants, as the _ were a poor garment for this material. | 4 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.6492623090744019,
0.2177061140537262,
-0.029669329524040222,
-0.012406640686094761,
0.5154609680175781,
-0.6840716600418091,
0.8208329677581787,
1.0390686988830566,
-0.9067996740341187,
-0.2648307681083679,
-0.6501305103302002,
0.18775513768196106,
-0.5410580635070801,
0.1227465718984603... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | Output: turn opposite left thrice after walk right twice
| 2 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.3440473973751068,
1.0036789178848267,
-0.5712660551071167,
0.3169982433319092,
-0.14225003123283386,
0.17965570092201233,
-0.03556324541568756,
0.619566798210144,
-0.2963279187679291,
-0.11085119098424911,
-0.8737444877624512,
-0.38860881328582764,
-0.5808298587799072,
-0.114670217037200... |
You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will ask you to find the value... | numbers | 4 | NIv2 | task834_mathdataset_classification | zs_opt | [
0.07215319573879242,
0.6330262422561646,
-0.200929656624794,
-0.12907658517360687,
0.08868415653705597,
0.22102606296539307,
0.42262476682662964,
0.4218430817127228,
0.6856926679611206,
-0.6673592925071716,
-1.1566071510314941,
0.2492876946926117,
-0.5703511834144592,
0.29978233575820923,
... |
Detailed Instructions: In this task, you are given one English sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into Swedish.
Problem:Conversely, the death rate of acute infection ca... | Däremot kan dödligheten vid akut infektion nå 2 procent hos äldre. | 8 | NIv2 | task1395_europa_ecdc_tm_en_sv_translation | zs_opt | [
-0.24401181936264038,
0.8729255199432373,
-0.05340481549501419,
-0.35449567437171936,
-0.2700972557067871,
-0.4501822292804718,
0.2655525803565979,
0.9675561189651489,
0.18628115952014923,
0.5550363063812256,
-0.48665082454681396,
0.7675957679748535,
-0.3065437078475952,
0.3238599598407745... |
Definition: In this task, you're given a sentence and your task is to generate a simplified sentence that focuses on lexical paraphrasing from the original sentence given in the input.
Input: mercury is similar in appearance to the moon : it is heavily cratered with regions of smooth plains , has no natural satellites ... | mercury , which looks like the moon with its many craters and areas of smoothness , has no orbiting bodies around it and a minimal atmosphere. | 2 | NIv2 | task934_turk_simplification | zs_opt | [
-0.6271986961364746,
1.2718439102172852,
-0.3472362160682678,
-1.3902698755264282,
-0.24854080379009247,
-0.6085841655731201,
0.4168984591960907,
0.7129578590393066,
0.5441217422485352,
-0.2435617446899414,
-0.689061164855957,
-0.38607150316238403,
-0.17147479951381683,
0.410398006439209,
... |
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Within many machine learning algorithms, a fundamental problem concerns efficient calculation of an unbiased gradient... | a Rep-like gradient for non-reparameterizable continuous/discrete distributions; further generalized to deep probabilistic models, yielding statistical back-propagation | 0 | NIv2 | task668_extreme_abstract_summarization | zs_opt | [
-0.779327392578125,
0.46533405780792236,
-0.3425726890563965,
-0.7909670472145081,
0.1832834780216217,
-0.6542367339134216,
-0.08579117059707642,
1.2703218460083008,
0.23632675409317017,
-0.19849523901939392,
-1.4193904399871826,
0.21469901502132416,
-0.26331859827041626,
-0.05157693848013... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Problem:Comment: America is America!
-
Canada is... whatever this place... | Non-insult | 8 | NIv2 | task328_jigsaw_classification_insult | zs_opt | [
0.00846291333436966,
0.5272957682609558,
0.6873526573181152,
-0.2805217206478119,
-0.2506423592567444,
0.04747255519032478,
0.951164722442627,
1.0047247409820557,
0.27496767044067383,
0.18055397272109985,
0.18331347405910492,
-0.2415410578250885,
-0.16728782653808594,
-0.6558690071105957,
... |
Part 1. Definition
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.
Part 2. Example
Which writer rode Devon Loch in the 1956 Grand National?
Answer: dick francis
Explanation: The answer is precise and accurately answe... | frank hornby | 7 | NIv2 | task898_freebase_qa_answer_generation | fs_opt | [
0.33136770129203796,
0.25026166439056396,
-0.23962877690792084,
-0.19272278249263763,
-0.5944379568099976,
-0.24136686325073242,
0.9378604888916016,
-0.8804565072059631,
0.3022505044937134,
-0.8722628951072693,
-1.3355004787445068,
0.7036432027816772,
-0.6158618927001953,
0.347571790218353... |
Given a sentence in Vietnamese, generate a new Vietnamese 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 o... | Ảnh hưởng của việc dắt chó đi dạo là con chó đi vào phòng tắm. | 8 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | fs_opt | [
0.18443085253238678,
0.14769892394542694,
-0.12022099643945694,
0.08673413842916489,
-0.18448340892791748,
-1.4011943340301514,
0.21108412742614746,
1.4763195514678955,
-0.08195166289806366,
0.10167434811592102,
-0.6554951667785645,
0.24002136290073395,
-0.5603336095809937,
-0.239467203617... |
In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author is considering doing something in the future.
Example ... | HISTORICAL
| 3 | NIv2 | task282_scruples_event_time | fs_opt | [
-0.01702222414314747,
0.5456341505050659,
0.02204146236181259,
0.511029839515686,
0.5900551080703735,
-0.31627169251441956,
0.9006801843643188,
0.9368590116500854,
-0.21743281185626984,
-0.14548936486244202,
-0.3879217207431793,
0.9697943925857544,
-0.3014380633831024,
0.26956039667129517,... |
The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides ... | Britain attempted to mediate | 4 | NIv2 | task918_coqa_answer_generation | zs_opt | [
1.0494037866592407,
0.3488912880420685,
-0.9352480173110962,
-0.7357572317123413,
0.19582286477088928,
-0.6279568672180176,
0.662574052810669,
0.5801277160644531,
0.269262433052063,
0.6206438541412354,
-0.21136683225631714,
-0.06848413497209549,
-0.6540422439575195,
-0.19243109226226807,
... |
Part 1. Definition
In this task, you will be presented with a question having multiple possible answers in Portuguese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Part 2. Example
Question: Foi um presente popular e comum este ano, por iss... | D | 7 | NIv2 | task1137_xcsr_pt_commonsense_mc_classification | fs_opt | [
0.4167851209640503,
0.5400398969650269,
-0.36093541979789734,
0.035767748951911926,
-0.09050551801919937,
-0.09941253066062927,
-0.03390713036060333,
1.0753707885742188,
0.4591938257217407,
0.11678662896156311,
-0.2642465829849243,
0.3346869945526123,
-0.07261200249195099,
-0.2006994187831... |
Q: 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.
Pelayanan microblogging Twitter telah diganti dengan dukungan perangkat lunak untuk sensor pemberitahuan.
A: | マイクロブログサービスのツイッターは投稿の検閲のサポートソフトに変更した。 | 7 | NIv2 | task1116_alt_id_ja_translation | zs_opt | [
-1.216434359550476,
-0.11212952435016632,
0.12074518203735352,
-0.36964231729507446,
0.09349039196968079,
-0.9504573345184326,
0.4217028021812439,
0.6418560743331909,
0.19933566451072693,
0.11691605299711227,
-0.2011757791042328,
0.056193046271800995,
-0.517217755317688,
0.5416348576545715... |
Q: You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must not be assoc... | The car crashed into a tree but only the tree was damaged, because the _ is made from stronger material. | 7 | NIv2 | task031_winogrande_question_generation_object | zs_opt | [
0.7745749950408936,
0.43330809473991394,
0.37541553378105164,
0.021555930376052856,
0.7008178234100342,
-0.8267076015472412,
0.6513075828552246,
1.3720802068710327,
-0.2299671471118927,
-0.44896435737609863,
-0.33582550287246704,
0.40463513135910034,
-0.25085756182670593,
0.042744811624288... |
Q: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences in or... | 25 | 7 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.6719970107078552,
0.29370006918907166,
-0.04029276221990585,
-0.4403529763221741,
-0.2145521193742752,
-0.09647130966186523,
0.7048813104629517,
0.5077865123748779,
0.17793476581573486,
-0.42356061935424805,
-0.6213420629501343,
-0.7904806137084961,
-0.9882987141609192,
-0.0414385721087... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual ma... | Sexual-explicit | 1 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.455738365650177,
0.03862965852022171,
-0.07322835177183151,
0.2948594093322754,
-0.022459181025624275,
-0.0005546582397073507,
-0.49185508489608765,
0.6569234728813171,
-0.03469347208738327,
0.07614396512508392,
-0.06242445111274719,
0.4037103056907654,
-0.3188358545303345,
-0.980777442... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
Q: ['8307',... | 2, 4
****
| 4 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | fs_opt | [
-0.2801596224308014,
0.051068224012851715,
-0.20882710814476013,
-0.13950788974761963,
0.18400385975837708,
-0.5789771676063538,
0.6071479320526123,
0.5987780094146729,
-0.9408360719680786,
0.6017836332321167,
-0.5717459321022034,
0.04858081787824631,
-0.13380438089370728,
0.18255612254142... |
Instructions: Two analogies on manipulating items in a kitchen is given in the form "A : B. C : ?". The phrase "A : B" relates item A to its appropriate manipulation B. Your task is to replace the question mark (?) with the appropriate manipulation of item C, following the "A : B" relation. Your answer should be a verb... | shell | 3 | NIv2 | task1158_bard_analogical_reasoning_manipulating_items | zs_opt | [
0.05405092239379883,
1.1863160133361816,
-1.0109491348266602,
0.7702783346176147,
-0.3421535789966583,
-0.343497097492218,
1.0428001880645752,
0.6161656379699707,
-0.02160121127963066,
-0.2782268822193146,
-0.29042932391166687,
0.21622750163078308,
0.377110093832016,
0.11516457051038742,
... |
Given the task definition and input, reply with output. In this task, you are given an input text which is in one of the 11 languages listed as follows: ['Oriya' 'Malayalam' 'Bengali' 'Gujarati' 'Hindi' 'English' 'Marathi'
'Panjabi' 'Tamil' 'Telugu' 'Urdu']. Identify the language of input text. The input text can be i... | Tamil | 5 | NIv2 | task976_pib_indian_language_identification | zs_opt | [
-0.8186547756195068,
0.8527641296386719,
0.3872912526130676,
-0.8115551471710205,
0.3881106972694397,
-0.4250885546207428,
-0.12331300973892212,
-0.24051767587661743,
-0.0558912456035614,
-0.39391472935676575,
0.25136011838912964,
0.40997809171676636,
0.36746707558631897,
0.354481041431427... |
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.
[Q]: what is the genre for the film Overlord?
[A]: Drama, War, History
[Q]: who are the actors in Dog Nail Clipper?
[A]: Peter Franzén, V... | Comedy, Crime, Romance
| 5 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.5283021926879883,
0.3761868178844452,
-0.6377323865890503,
0.20502206683158875,
-0.4279884099960327,
0.011130076833069324,
0.43761032819747925,
0.5149458646774292,
-0.21339745819568634,
-0.15290866792201996,
0.06909757107496262,
0.2421334981918335,
-1.0106070041656494,
-0.73309254646301... |
Teacher:You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Teacher: Now, understand the problem? Solve this instance: Sentence1: Have a nice day! Goodbye. Sentence2: Royal Standard is a Gastropub in East. Is this OK? Sentence3: May I recomme... | Answer: (B) System | 6 | NIv2 | task638_multi_woz_classification | zs_opt | [
0.22589349746704102,
0.03344464302062988,
0.031169775873422623,
-0.5513172149658203,
-0.023962512612342834,
-0.9550246000289917,
0.33216017484664917,
0.9035073518753052,
-0.16238878667354584,
-0.18236032128334045,
-0.16880999505519867,
-0.44083884358406067,
-0.3930964469909668,
-0.36879819... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Q: Między innymi, jeśli chcesz się pochwalić swoim bogactwem, wpływami, zawsze lepiej posiadać oryginał niż podróbkę, ponieważ zawsze będzie mniej oryginałów niż podróbek.
A: | Entre outras coisas, se queres exibir o quão rico és, o quão poderoso és, é sempre melhor adquirir um original do que uma falsificação porque sempre existirão menos originais do que falsificações. | 9 | NIv2 | task1264_ted_translation_pl_pt | zs_opt | [
-0.7964826822280884,
1.190704584121704,
0.17737361788749695,
-0.1492769420146942,
-0.5602430105209351,
-0.9524027109146118,
0.17096060514450073,
0.678267776966095,
0.5717795491218567,
-0.2137538492679596,
-0.3437894284725189,
0.74639892578125,
-0.744825541973114,
0.0060580335557460785,
0... |
Detailed Instructions: In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Problem:wgyNiJhZRplmTwGkvQbDOG, iipZCigqRplmTwGkSFLcz
Solution: | b, d, g, h, i, j, k, l, m, n, o, p, q, r, t, v, w, y, z | 8 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | zs_opt | [
0.18222978711128235,
1.181627631187439,
0.17196789383888245,
-0.5095256567001343,
0.07103102654218674,
-0.38025569915771484,
1.5754187107086182,
-0.23150157928466797,
-0.15924619138240814,
-0.547792911529541,
-0.604631781578064,
-0.1241503655910492,
-0.12908078730106354,
-0.143714725971221... |
Teacher: Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Teacher: Now, understand the problem? If you are still confused, see the following example... | no | 2 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | fs_opt | [
0.22007820010185242,
-0.06659111380577087,
0.39908793568611145,
0.2722562551498413,
0.29526782035827637,
-0.2992026209831238,
0.04252617806196213,
0.7193556427955627,
0.3423924446105957,
-0.13863776624202728,
-0.03866685926914215,
0.26924118399620056,
-0.7073930501937866,
-0.51057308912277... |
instruction:
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the mos... | Because they are not good at it .
| 9 | NIv2 | task595_mocha_answer_generation | fs_opt | [
0.3973597288131714,
0.794426441192627,
-0.21158438920974731,
0.028985977172851562,
-0.45370447635650635,
-0.26877254247665405,
0.47104233503341675,
0.33436042070388794,
0.010321211069822311,
0.0963585376739502,
-0.5285258293151855,
0.03440726920962334,
-0.5268150568008423,
0.29859066009521... |
Instructions: In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remem... | While trying to cook Jane set her hot pan into a bowl of icy water. The _ inadvertently got its temperature adjusted. | 3 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.6907401084899902,
0.17665550112724304,
0.011422928422689438,
-0.10046661645174026,
0.5982875823974609,
-0.6933428049087524,
0.9146716594696045,
1.013892650604248,
-0.794922947883606,
-0.3476032018661499,
-0.355643630027771,
0.17625579237937927,
-0.41913172602653503,
-0.03114432282745838,... |
Definition: You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Input: Chciałbym jej dziś za to podziękować.
Output: | E oggi voglio ringraziarla. | 2 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.7091370820999146,
0.8040143251419067,
-0.02679845318198204,
0.3270201086997986,
-0.10371017456054688,
-0.7743505239486694,
0.692110002040863,
-0.6008189916610718,
0.6621446013450623,
-0.3345434069633484,
-0.7157613039016724,
0.38673126697540283,
0.2265177071094513,
0.47723984718322754,
... |
instruction:
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
question:
they are n't humans , not anymore . - desert conjurers , cut-throats .
answer:
it 's not people anymore , it 's desert cu... | maybe by the tie he 's wearing , or the books they read or do n't read .
| 9 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
-0.32609808444976807,
0.31699660420417786,
-0.44049957394599915,
-0.5419519543647766,
-0.7683892250061035,
-0.8929078578948975,
0.9191327095031738,
0.489326536655426,
0.33896106481552124,
0.013476971536874771,
-0.05669442564249039,
-0.5753992795944214,
-0.5663184523582458,
0.23374429345130... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Q: Sentence 1: Republicans' We're winning the budget fight by convincing Clinton to compromise... | 6
****
| 4 | NIv2 | task198_mnli_domain_classification | fs_opt | [
-0.17098581790924072,
0.2714459002017975,
-0.11819948256015778,
-0.32125943899154663,
-0.05056697875261307,
-0.3111026883125305,
0.12572503089904785,
0.9622898101806641,
-0.15000750124454498,
-0.010416306555271149,
-0.19772599637508392,
0.41563206911087036,
-0.38381898403167725,
-0.4286383... |
Q: 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: After Meissner’s abitur at the Huma... | Answer: the interaction between matter and electromagnetic radiation | 7 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
-0.047357745468616486,
0.17654043436050415,
-0.6220595836639404,
-0.22938323020935059,
0.15098316967487335,
0.5897529721260071,
0.42518118023872375,
0.5677455067634583,
0.762898862361908,
0.23571205139160156,
-0.2417018711566925,
0.27465635538101196,
-0.6177811622619629,
-0.098634526133537... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
His story is their story. | La sua storia è la loro storia. | 0 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
-0.5989606380462646,
0.5874189734458923,
0.023100730031728745,
0.11411227285861969,
-0.39383548498153687,
-0.33953994512557983,
0.431089848279953,
0.3305876851081848,
0.09368453174829483,
-0.21288125216960907,
-0.260878324508667,
0.4490352272987366,
0.13844722509384155,
0.13569003343582153... |
Given the task definition and input, reply with output. This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is... | When did Khan establish the Great Yuan? | 5 | NIv2 | task074_squad1.1_question_generation | zs_opt | [
0.3208916485309601,
0.7519881129264832,
-0.5474201440811157,
-0.7090125679969788,
-0.3498351573944092,
-0.6304408311843872,
-0.026820261031389236,
0.7951682209968567,
0.2512539029121399,
-0.23493345081806183,
-0.49159443378448486,
0.15026170015335083,
-0.7963717579841614,
0.528253197669982... |
This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning ty... | How many field goals were scored in the first quarter? | 3 | NIv2 | task026_drop_question_generation | fs_opt | [
1.3176600933074951,
0.20355764031410217,
-0.4857790470123291,
-0.05599774420261383,
0.6723651885986328,
-0.5497642755508423,
0.914991021156311,
0.6398586630821228,
0.33119404315948486,
0.2796242833137512,
-0.22228610515594482,
0.7030824422836304,
-1.085728645324707,
0.21723076701164246,
... |
In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
[Q]: Ronald Dillon, a longtime city Health Department employee, was suspended for 20 days without pay after he repeatedly answered customer service calls in a robot voice, according to the Offic... | A Rhode Island Republican lawmaker who made a splash with some anti-drug comments a few months ago has been arrested for allegedly driving under the influence of marijuana and possessing drug paraphernalia, Raw Story reports. House Minority Leader Robert Watson drew gasps in February for saying that the state legislatu... | 5 | NIv2 | task1291_multi_news_summarization | fs_opt | [
0.05200623720884323,
0.5213894844055176,
0.083828866481781,
-0.44360530376434326,
0.6818821430206299,
-0.168133944272995,
0.5284203290939331,
0.6047353744506836,
-0.0242866612970829,
-0.10657024383544922,
0.10236037522554398,
0.47903329133987427,
-0.6378276348114014,
0.1914844661951065,
... |
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.
Oh daaaaaaamn @SophiaBush! #getitgirl #girlpower #rawr #ChicagoPD
Not angry
@PuddlesPityP Witnessed #totality, overcome with insane awe & emoti... | Angry
| 0 | NIv2 | task397_semeval_2018_task1_tweet_anger_detection | fs_opt | [
-0.7749687433242798,
0.48217475414276123,
0.29225996136665344,
-0.5426124334335327,
-0.35187333822250366,
-1.0446240901947021,
0.2855291962623596,
0.5972971320152283,
0.8430020809173584,
0.3375398516654968,
0.4123227298259735,
-0.42727863788604736,
-0.29951271414756775,
-0.5897229909896851... |
You will be given a definition of a task first, then some input of the task.
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... | What date is associated with British Airways Flight 2276? | 1 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | zs_opt | [
0.1302778124809265,
0.33832621574401855,
-0.0870167464017868,
-0.28488144278526306,
0.2758706212043762,
0.7002382874488831,
0.10168145596981049,
0.23035714030265808,
-0.2044053077697754,
0.3073735237121582,
-0.39737021923065186,
-0.255577027797699,
-0.32036077976226807,
0.21797488629817963... |
Detailed Instructions: In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
Q: [-11, 30, -6, -79, -5, 23, -89, -100, -71, 63, -68, ... | [41, 36, 73, 74, 28, 112, 11, 29, 134, 131, 151, 58] | 9 | NIv2 | task125_conala_pair_differences | zs_opt | [
-0.4371206760406494,
-0.14296932518482208,
-0.07824122160673141,
-0.7937623262405396,
-0.35869288444519043,
-0.6028959155082703,
1.4551023244857788,
0.036805517971515656,
0.23418250679969788,
-0.3611815571784973,
0.05421604961156845,
-0.2782343626022339,
-0.19482439756393433,
-0.0675725936... |
Detailed Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Problem:['983', '587', '7005', '9417', '2879', 'o', 'v', 'U', 'z', '9479', '7401', 'h', 'V', 'T', '1127', 'T', '1929', 'N']
Solution: | 983, 587, 7005, 9417, 2879, 9479, 7401, 1127, 1929 | 8 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
-0.5264331102371216,
0.7234179377555847,
-1.1024649143218994,
-0.13481594622135162,
-0.3059965968132019,
-0.20426654815673828,
0.5403052568435669,
-0.42742711305618286,
-0.2362731695175171,
0.09692347049713135,
-0.6967769265174866,
-0.6561899781227112,
0.07802025973796844,
0.20815165340900... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwi... | No
****
| 4 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt | [
-0.13369925320148468,
0.39384785294532776,
-0.42938411235809326,
0.6041544675827026,
-0.04825875163078308,
-0.9682131409645081,
0.49401533603668213,
1.1704225540161133,
-0.24745731055736542,
-0.05288364738225937,
-0.3341078758239746,
-0.03595732897520065,
-0.3079124689102173,
0.02526102215... |
In this task, you are given one english sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into German.
One example is below.
Q: Flu in birds is quite common.
A: Grippe bei Vögeln komm... | Die Tagungen sind in der Regel in Form von Plenarsitzungen und Workshops organisiert, was die Diskussion und die Konsensbildung über die Ergebnisse erleichtert. | 9 | NIv2 | task1396_europa_ecdc_tm_en_de_translation | fs_opt | [
-0.3504016697406769,
0.6764262914657593,
-0.30827105045318604,
-0.529733419418335,
-0.28750866651535034,
-0.580280601978302,
0.6246616840362549,
0.2589150071144104,
-0.08941969275474548,
-0.14638270437717438,
-0.10078826546669006,
0.5934036374092102,
-0.6629014015197754,
0.6964151263237,
... |
Q: In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Markov Logic Networks (MLNs), which elegantly combine logic rules and probabilistic graphical models, can be used t... | We employ graph neural networks in the variational EM framework for efficient inference and learning of Markov Logic Networks. | 7 | NIv2 | task668_extreme_abstract_summarization | zs_opt | [
-1.363739252090454,
-0.2864135503768921,
0.06816482543945312,
-0.7512730956077576,
0.019055336713790894,
-0.6636676788330078,
0.09302730858325958,
0.40466779470443726,
0.6851152777671814,
-0.09083699434995651,
-1.0882585048675537,
0.32122913002967834,
-0.73105788230896,
0.19267623126506805... |
Teacher:In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer u... | 25341 | 6 | NIv2 | task300_storycloze_order_generation | zs_opt | [
-0.08897188305854797,
0.2093086540699005,
-0.24051479995250702,
-1.0530532598495483,
-0.25744813680648804,
-0.46158838272094727,
-0.03681137040257454,
0.6124292016029358,
-0.45719748735427856,
0.17475038766860962,
-0.5850565433502197,
-1.067387342453003,
-1.2536715269088745,
0.121582463383... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be presented with a 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 ... | WP | 0 | NIv2 | task382_hybridqa_answer_generation | fs_opt | [
-0.03629710152745247,
0.7343032360076904,
-0.3165163993835449,
0.6728142499923706,
-0.06801126897335052,
-0.44123926758766174,
0.442766398191452,
0.5816465020179749,
-0.5528016686439514,
0.23734696209430695,
-0.2640315592288971,
0.13076993823051453,
-0.14824560284614563,
0.0197997428476810... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to con... | A man and a woman run away from the camera. | 8 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-0.6022966504096985,
0.8419809937477112,
-0.18249323964118958,
-0.8478183746337891,
0.05986028164625168,
0.30998849868774414,
0.19049806892871857,
0.40840622782707214,
0.19428572058677673,
-0.745489776134491,
-0.9489842653274536,
-0.7047784328460693,
-0.17010091245174408,
0.238470017910003... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
It would be a personalized chip just for you.
A: | זה היה שבב שעשוי לפי מידותייך בדיוק. | 7 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
-0.6747696399688721,
0.4237038791179657,
-0.2742897868156433,
0.09164804965257645,
-0.5698931813240051,
-1.1232807636260986,
0.27770864963531494,
-0.16492514312267303,
1.1380386352539062,
0.0025443716440349817,
0.37229421734809875,
0.7410572171211243,
-0.6549854874610901,
0.238222002983093... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': D... | Output: ,
| 2 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.06708037853240967,
0.31067514419555664,
0.009210558608174324,
0.18226802349090576,
0.0017046872526407242,
-0.5464112162590027,
0.6485403180122375,
0.9836719632148743,
-0.5103045701980591,
-0.3571033775806427,
-0.1768428385257721,
0.29143810272216797,
-0.30923745036125183,
-0.037673160433... |
TASK DEFINITION: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two s... | 45
| 8 | NIv2 | task218_rocstories_swap_order_answer_generation | fs_opt | [
0.12328577786684036,
0.26730674505233765,
-0.35255366563796997,
0.13637253642082214,
0.19772914052009583,
-0.0967395007610321,
0.4485488831996918,
0.7153570652008057,
-0.10787779092788696,
0.270879864692688,
-0.7229945659637451,
-0.12792333960533142,
-0.20456302165985107,
0.101181454956531... |
This task is about translating a given English language sentence to Yoruba language.
Example input: While you should not share legal advice to others based on course content, you will develop a high level of expertise upon completion of this course.
Example output: Bí ó ti jẹ́ wí pé o kò leè fún ẹnikẹ́ni nímọ̀ràn ajẹm... | A kì í so ẹran mẹ́ran kó kàn án pa. | 3 | NIv2 | task1685_menyo20k_translation | fs_opt | [
-0.39946842193603516,
0.28708475828170776,
0.3659328818321228,
-0.17342399060726166,
-0.44511836767196655,
-0.2848443388938904,
0.11894543468952179,
0.5990837216377258,
-0.34065401554107666,
-1.1137906312942505,
0.15879422426223755,
0.40971189737319946,
-1.3335554599761963,
0.7642059326171... |
Q: 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 .
Statement: ચિરોડા (રાજપરા) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના સૌરાષ્ટ્ર વિસ્તારમાં આવેલા સુરેન્... | ભારત | 7 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
0.21160626411437988,
0.882124662399292,
0.22906364500522614,
0.006337238010019064,
-0.3104979991912842,
-0.0808468908071518,
-0.021667033433914185,
1.1430028676986694,
-0.06710522621870041,
-0.10679936408996582,
-0.1448689103126526,
0.11372475326061249,
-0.464020311832428,
-0.3494474887847... |
This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning ty... | How many days after the Rangers agreed to terms with Antti Raanta on a contract extension did they sign Pavel Buchnevich to an entry-level contract?
| 1 | NIv2 | task026_drop_question_generation | fs_opt | [
0.8716995120048523,
-0.041435353457927704,
-0.5637562274932861,
-0.13320830464363098,
0.17503201961517334,
-0.12829536199569702,
1.0106265544891357,
0.6247004270553589,
0.08708572387695312,
0.1399296522140503,
-0.35816824436187744,
1.0244581699371338,
-0.8692688941955566,
0.575137376785278... |
Detailed Instructions: In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Q: Context: Jordan, who eats clean, lives like a... | Yes | 9 | NIv2 | task579_socialiqa_classification | zs_opt | [
-0.47155287861824036,
-0.006881690584123135,
0.5161746740341187,
-0.30159276723861694,
-0.7179470658302307,
-0.9110674858093262,
0.5059389472007751,
0.9362739324569702,
0.3549371361732483,
0.6273446083068848,
0.048964690417051315,
0.10773216187953949,
-0.8337306976318359,
-0.22111944854259... |
Instructions: You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Input: CONTEXT: Ignacio de Antioquía (en griego: Ἰγνάτιος Ἀντιοχείας) (Siria, Imperio roma... | es uno de los padres de la Iglesia y, más concretamente, uno de los padres apostólicos por su cercanía cronológica con el tiempo de los apóstoles | 3 | NIv2 | task1334_sqac_answer_generation | zs_opt | [
0.8605900406837463,
0.7007927894592285,
-0.23109187185764313,
-0.14750508964061737,
-0.6408364772796631,
-0.4818657338619232,
-0.36869847774505615,
0.755342960357666,
-0.2127421647310257,
-0.029655171558260918,
0.348664790391922,
0.25836342573165894,
-0.8556243181228638,
0.0869443565607070... |
In this task, you will be shown a correct English sentence. You need to generate an incorrect form of the input sentence.
Input: Consider Input: Facts are learned from experiences .
Output: Facts are learned by experinces .
Input: Consider Input: Finally , the third reason is that that birds use a type of interna... | Output: I the same other people see many tims on TV rich people are intrested in politica , sports new technologies and also in spaise .
| 2 | NIv2 | task1558_jfleg_incorrect_answer_generation | fs_opt | [
0.41134005784988403,
0.6517525911331177,
-0.6339882612228394,
-0.4366799592971802,
0.14448867738246918,
-0.6312364339828491,
-0.22042806446552277,
0.4712565541267395,
-0.19580549001693726,
-0.025360584259033203,
-0.524095356464386,
0.3558017611503601,
-0.5861847400665283,
-0.58768153190612... |
In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
--------
Question: Swedish: Vi hoppas att detta skall inträffa, åtminstone när det gäller f... | No
| 7 | NIv2 | task314_europarl_sv-en_classification | fs_opt | [
-0.48223841190338135,
0.664257824420929,
0.6476934552192688,
-0.10157837718725204,
0.14558054506778717,
-0.5675933957099915,
1.3426628112792969,
0.20048600435256958,
0.297907292842865,
-0.16164901852607727,
0.2840261459350586,
1.169007658958435,
-0.8128325939178467,
0.04812588170170784,
... |
Q: 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.
Which motor manufacturer made the Terios?
A: | daihatsu | 7 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
0.6268984079360962,
0.6454205513000488,
0.253337562084198,
0.3327656090259552,
-1.0203443765640259,
-0.5934003591537476,
0.275628924369812,
0.3830118179321289,
0.3233901560306549,
-0.05984177440404892,
-0.3078640401363373,
0.26571550965309143,
-0.10928872227668762,
0.22129669785499573,
-... |
You are given a science question (easy-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct ... | D | 0 | NIv2 | task228_arc_answer_generation_easy | zs_opt | [
0.4640241265296936,
0.7519564628601074,
-0.3839530348777771,
-0.3494792878627777,
-0.5588764548301697,
-1.0731587409973145,
1.099603295326233,
0.9018118381500244,
0.3547975718975067,
-0.23685282468795776,
-0.38655346632003784,
0.2374783158302307,
-0.097214475274086,
-0.6204222440719604,
... |
Given the task definition and input, reply with output. You are given a passage. Using the information present in the passage, you need to classify it into one of the 10 topics: 0 - 'Society & Culture', 1 - 'Science & Mathematics', 2 - 'Health', 3 - 'Education & Reference', 4 - 'Computers & Internet', 5 - 'Sports', 6 -... | 3 | 5 | NIv2 | task1593_yahoo_answers_topics_classification | zs_opt | [
0.025134362280368805,
0.3421142101287842,
0.006802796386182308,
-0.35959094762802124,
-0.39986810088157654,
0.36469748616218567,
0.4102281928062439,
0.32061856985092163,
0.7765904664993286,
-0.029896559193730354,
0.15680642426013947,
0.41738370060920715,
-0.3379543423652649,
0.082599148154... |
Teacher:Given a prompt and two completions from a language model, select the completion that is more topical with respect to continuing the prompt. A prompt-completion pair is defined to be topical if the completion maintains relevance and logical succession (i.e. stays on topic) with the prompt. The flow from the prom... | Completion B | 6 | NIv2 | task139_detoxifying-lms_classification_topicality | zs_opt | [
-0.34529638290405273,
0.0034732799977064133,
0.46661263704299927,
-0.5335291624069214,
-0.16042156517505646,
-1.1613399982452393,
1.0956279039382935,
0.26187705993652344,
0.19369164109230042,
-0.37889528274536133,
-0.0785364955663681,
0.20061293244361877,
-0.027022819966077805,
0.482895672... |
Teacher:You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that requi... | Bill. | 6 | NIv2 | task061_ropes_answer_generation | zs_opt | [
0.5892195105552673,
-0.3893424868583679,
-0.20516493916511536,
-0.1939803659915924,
-0.25485479831695557,
-1.448498249053955,
-0.2438018023967743,
0.5852382779121399,
-0.18224647641181946,
-0.13090187311172485,
-0.1735643893480301,
-0.2619609832763672,
-0.5032879710197449,
-0.1145187467336... |
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Example: Article: australia 's current account deficit shrunk by a record #.## billion dollars -lrb- #.## billion us -rrb- in the j... | Solution: no | 5 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.27434614300727844,
0.2715933918952942,
-0.289985328912735,
0.3697856664657593,
-0.3531930446624756,
-0.33310845494270325,
0.41363662481307983,
0.4328444004058838,
0.011468222364783287,
0.2425360530614853,
-0.20294561982154846,
0.14983347058296204,
-0.5572938919067383,
0.3876367211341858... |
You will be given a definition of a task first, then some input of the task.
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 numer... | 9072 | 1 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | zs_opt | [
-0.3627375364303589,
0.1563674360513687,
-0.47888675332069397,
-0.3661208152770996,
0.11752410233020782,
0.5740421414375305,
0.2823737859725952,
-0.03997373580932617,
-0.15234464406967163,
-0.1801050454378128,
-0.7923027873039246,
0.26299118995666504,
0.5266892313957214,
-0.397550135850906... |
Definition: In this task, you need to count the occurrences of the given word in the given sentence.
Input: Sentence: 'a bald headed man cutting a ribbon in front of people on bicycles'. Count the occurrences of the word 'man' in the given sentence.
Output: | 1 | 2 | NIv2 | task158_count_frequency_of_words | zs_opt | [
0.5282950401306152,
1.096043586730957,
-0.3675311803817749,
-0.844579815864563,
-0.5542528629302979,
-0.12564465403556824,
0.8841664791107178,
0.4548702836036682,
-0.19742855429649353,
0.42801564931869507,
-1.2809193134307861,
-0.6026132106781006,
-0.534925103187561,
1.014851450920105,
0... |
Instructions: In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should have natural language and formal for... | Ìjọba sọ fáwọn ẹlẹ́sìn pé ọdọọdún ni kí wọ́n máa forúkọ ẹ̀sìn wọn sílẹ̀ ní Mòǹgólíà, àtìgbà táwọn ará wa sì ti kọ́kọ́ forúkọ ẹ̀sìn wọn sílẹ̀ lábẹ́ òfin lọ́dún 1999 ni wọ́n ti ń ṣe bẹ́ẹ̀. | 3 | NIv2 | task1619_menyo20k-mt_en_yo_translation | zs_opt | [
-0.41719359159469604,
0.18817344307899475,
0.011711981147527695,
-0.11979201436042786,
0.02826082333922386,
-0.3504731357097626,
0.6523054838180542,
0.38650116324424744,
0.11375238001346588,
-0.463445246219635,
-0.5487634539604187,
-0.3545228838920593,
-0.7691347002983093,
0.30680608749389... |
Teacher: In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
Teacher: Now, understand the problem? If you are still confused, see the following example:
Deserts are in extremely dry environments, so liquids will natur... | C | 2 | NIv2 | task1286_openbookqa_question_answering | fs_opt | [
-0.40535640716552734,
-0.10985833406448364,
-0.26910483837127686,
-0.8368895053863525,
-0.49615973234176636,
-0.5013267993927002,
0.3929210901260376,
1.0239894390106201,
-0.4229689836502075,
0.3533969223499298,
0.12434064596891403,
-0.22013117372989655,
-0.14119231700897217,
-0.48998561501... |
In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Q: Problem: a shopkeeper sold an book offering a discount of 5 % and earned a profit of 23.5 % . what would have been the percentage ... | c | 4 | NIv2 | task1419_mathqa_gain | zs_opt | [
-0.0851607695221901,
0.3787133991718292,
-0.1270594298839569,
0.011349792592227459,
-0.46862056851387024,
0.033907581120729446,
0.4631993770599365,
0.9666807055473328,
0.15841513872146606,
0.40067043900489807,
-0.979302167892456,
-0.2545219659805298,
-1.474244475364685,
-0.0694299042224884... |
Part 1. Definition
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer ... | Rocks. | 7 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
-0.04006003215909004,
1.1495563983917236,
-0.3369104564189911,
0.11775591969490051,
-0.12919169664382935,
-1.6742563247680664,
0.45501580834388733,
1.1689989566802979,
-0.5506786108016968,
0.3157917261123657,
-1.115678310394287,
0.45779916644096375,
-0.6801255941390991,
-0.1553163826465606... |
Definition: Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link].
Input: -LRB- CNN -RRB- Former Democratic presidential nominee Hillary Clinton , amid the fallout of the massacre in Las Vegas , tu... | Hillary Clinton | 2 | NIv2 | task419_persent_answer_generation | zs_opt | [
-0.9636253714561462,
0.433126837015152,
0.08435836434364319,
0.5321794748306274,
0.3539121747016907,
-0.327751487493515,
0.2907402217388153,
0.3857501447200775,
-0.138057678937912,
0.20322638750076294,
0.1179799735546112,
0.14930251240730286,
-0.5896279811859131,
0.12495262920856476,
-0.... |
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... | customer: Thanks, I want to take off on 05/31 and book my return ticket also on 06/02.
| 1 | NIv2 | task574_air_dialogue_sentence_generation | fs_opt | [
-0.21653230488300323,
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-0.9065729379653931,
-0.4442850351333618,
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-0.07005240768194199,
-0.5645730495452881,
0.125591099262... |
Given the task definition and input, reply with output. In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Major Payne was really not very good at all. Despite being funny here and there, the story was ridic... | negative | 5 | NIv2 | task284_imdb_classification | zs_opt | [
-1.0304183959960938,
0.833961009979248,
0.3188081681728363,
-0.03067004680633545,
0.3063735365867615,
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-0.5901251435279846,
-0.42233073711395264,
-0.537022054195404,
-0.6399411559104919... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Let me give you an example: I heard enough of what she said to you last night to understand her unwillingness to be acting with a stranger;
The answer to this example can be: دیشب شنیدم به تو چه میگفت. فهمیدم که دوست ندا... | ولی آقای راشورث نیامد و ناراحتی دوشیزه برترام بیشتر شد، چون حتی این فرصت هم از دست میرفت که لااقل زورش به آقای راشورث برسد. | 8 | NIv2 | task661_mizan_en_fa_translation | fs_opt | [
0.1582699716091156,
1.4795677661895752,
-0.07518210262060165,
-0.1059170812368393,
-0.3691316843032837,
-0.5574466586112976,
1.4042562246322632,
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-0.07126548141241074,
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-0.6664286851882935,
-0.1886187493801117,... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
See one example below:
Problem: Media łączyły się z nami.
Solution: Os "" media "" interligavam-se connosco.
Explanation: The Polish sentence is correctly translated into Portugese, because the meanin... | (Risos) Ok. | 4 | NIv2 | task1264_ted_translation_pl_pt | fs_opt | [
-0.038076646625995636,
0.8006168603897095,
-0.013524942100048065,
-0.9410830736160278,
-0.16773095726966858,
-0.014873540960252285,
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-0.1925860494375229,
-0.6073414087295532,
0.6454706192016602,
-0.675946056842804,
-0.039281353354... |
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statemen... | Appendix II has a detailed discussion of sales.
| 0 | NIv2 | task203_mnli_sentence_generation | fs_opt | [
-0.9520305395126343,
0.5222704410552979,
0.05450592562556267,
-0.11640456318855286,
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-0.1305636167526245,
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-0.7765817642211914,
0.237960189580... |
Q: 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: York started his career with Handsw... | Answer: none | 7 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
0.45650213956832886,
0.5861597657203674,
-0.18476739525794983,
0.6157614588737488,
0.8386020660400391,
-0.3642923831939697,
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0.8105137944221497,
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-0.25074779987335205,
0.001221796846948564,
0.8774194717407227,
-0.8693279027938843,
0.20776793360710144,
... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC... | DT | 3 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.1813790500164032,
1.0105892419815063,
-0.41136205196380615,
0.9107033014297485,
0.04041755199432373,
-0.6295700669288635,
0.44011956453323364,
0.6671898365020752,
-0.10782009363174438,
0.06494533270597458,
-0.6217281818389893,
0.5720720291137695,
-0.373919278383255,
-0.18391384184360504,... |
This task is about translating a given English language sentence to French.
Q: Psst!
A: | Psst! | 4 | NIv2 | task1689_qed_amara_translation | zs_opt | [
0.36741191148757935,
0.8960973024368286,
-0.17891016602516174,
-0.701308012008667,
0.3397473692893982,
-0.15947812795639038,
0.5240501165390015,
-0.8966312408447266,
0.9253343343734741,
0.44498708844184875,
-0.007666339632123709,
0.3206186890602112,
0.08997507393360138,
-0.4203178286552429... |
Instructions: In this task you are given a tweet that contains some form of irony. You must classify the type of irony the tweet has. Label the tweets ("polarity","situational","other") based on the irony they have. Situational irony happens when a situation fails to meet some expectations, Label these instances as "si... | situational | 3 | NIv2 | task387_semeval_2018_task3_irony_classification | zs_opt | [
-1.2527134418487549,
0.34378117322921753,
0.5445178151130676,
-0.3337596654891968,
-0.48625659942626953,
0.12572428584098816,
0.02111693099141121,
0.1876244843006134,
0.1955907940864563,
-0.16749995946884155,
-0.23482945561408997,
-0.5869930982589722,
-0.6517999172210693,
0.211549714207649... |
Detailed 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.
See one example below:
Problem: Rope and its Usage
Solution: Intambo nomsebenzi ewenzayo.
Explanation: 'Intambo' means rope, 'noms... | Ingayintsusa yomahluko ngaphandle kwesilumkiso. | 4 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | fs_opt | [
0.5550195574760437,
0.9081926345825195,
0.20910422503948212,
-0.04724797606468201,
-0.5505654215812683,
-0.8858351707458496,
0.8821139931678772,
0.30505168437957764,
-0.5901187062263489,
-0.18652823567390442,
-0.3349519968032837,
-0.0740860253572464,
-0.6311771869659424,
-0.013378109782934... |
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or... | weakener | 4 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.16992776095867157,
0.7261865139007568,
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-0.06366372853517532,
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-0.31646913290023804,
-1.395681381225586,
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-0.8636823296546936,
-0.01539360266178... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surpris... | anger,No emotion,No emotion,No emotion,anger,No emotion,anger,No emotion,disgust,No emotion,No emotion,No emotion
| 5 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.2766333222389221,
0.18198326230049133,
-0.050498705357313156,
-0.6461029052734375,
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-0.014351116493344307,
-0.06022258102893829,
-0.33947014808654785,
-0.133418679... |
Detailed Instructions: 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 r... | flower IsA gift | 9 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
-0.22756269574165344,
0.9738955497741699,
0.11659427732229233,
-0.40596145391464233,
-0.24869239330291748,
-1.008617639541626,
0.7216590642929077,
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0.500109076499939,
-0.7881627678871155,
-0.617976188659668,
0.5187432765960693,
-0.8613239526748657,
0.8740633726119995,
... |
Q: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the to... | non-personal | 7 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-1.177963376045227,
0.4114726483821869,
0.3596096634864807,
0.30424174666404724,
-0.49782073497772217,
0.11490504443645477,
0.9461091756820679,
0.4305056929588318,
-0.21757885813713074,
-0.29679059982299805,
-0.29249972105026245,
0.8415470719337463,
-0.5483007431030273,
-0.3164055347442627... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
[EX Q]: תודה לך ביל גייטס ותודה לך אמא.
[EX A]: Grazas Bill Gates e grazas mamá.
[EX Q]: היחידה הקטנה הזו כאן — זוכרים את השקע הקטן של 12 וולט במכונית שלכם, שטוענת את מה שלא יהיה — גיימבוי, טלפון?
[EX A]: Esta pequena unid... | Outras bacterias, para protexerse, evolucionan creando defensas contra ese ataque químico.
| 6 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-1.0617680549621582,
0.526025116443634,
-0.6474235653877258,
0.11890936642885208,
-1.100399136543274,
-2.011258602142334,
0.6693020462989807,
0.4573867917060852,
0.4998725950717926,
-0.37748995423316956,
-0.18195949494838715,
1.0289565324783325,
-0.657482922077179,
-0.35637611150741577,
... |
Teacher:You are given a sentence in English. Your job is to translate the English sentence into Persian.
Teacher: Now, understand the problem? Solve this instance: So typically, they want to transmit wealth to the next generation, to their children, or sometimes they want to accumulate wealth because of the prestige, t... | قالبا افراد مایل به انتقال ثروت به نسل بعدی و فرزاندشان هستند ، و دلیل دیگر برای انباشت ثروت به واسطه وجهه و قدرتی است که ثروت به ارمغان می آورد. | 6 | NIv2 | task1093_ted_translation_en_fa | zs_opt | [
-1.2533178329467773,
0.5811183452606201,
0.1798660010099411,
-0.837329626083374,
-0.6627181768417358,
-0.08729282766580582,
0.5191398859024048,
1.0865850448608398,
0.5690011978149414,
-0.41221725940704346,
0.24835193157196045,
0.6775641441345215,
-1.101993441581726,
-0.329356849193573,
0... |
In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
Q: claim: The Guantanamo Bay detention centre should be closed.... | support | 4 | NIv2 | task738_perspectrum_classification | zs_opt | [
0.17513152956962585,
0.13814789056777954,
0.28247934579849243,
-0.5347191095352173,
-0.33918026089668274,
-0.6374514698982239,
0.43983638286590576,
0.5040427446365356,
-0.056475117802619934,
0.18511487543582916,
0.11438232660293579,
-0.3570299744606018,
-0.8084244132041931,
0.4439095258712... |
You will be given a definition of a task first, then some input of the task.
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.
This is the pe... | Good Review | 1 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.5957913994789124,
0.11481915414333344,
0.12946899235248566,
-0.012665756046772003,
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0.3924300968647003,
-0.009391967207193375,
0.3874199390411377,
-0.27414000034332275,
-0.329716145992279... |
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