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 |
|---|---|---|---|---|---|---|
Definition: 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 in one of the given languages only. Input sen... | Bengali | 2 | NIv2 | task976_pib_indian_language_identification | zs_opt | [
-0.6670893430709839,
0.6727690100669861,
0.3499829173088074,
-0.07465130090713501,
-0.6507126688957214,
-0.4621928930282593,
0.3222224712371826,
-0.08931973576545715,
0.10997612029314041,
0.03412299230694771,
-0.7088987231254578,
0.12477679550647736,
0.6858969330787659,
-0.0946409255266189... |
Q: You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Event:PersonX has to buy another one. Intent: 1) to talk 2) to understand
A: | Positive | 7 | NIv2 | task923_event2mind_classifier | zs_opt | [
-0.6670153141021729,
0.009833471849560738,
0.0944509506225586,
-0.1202317625284195,
-0.12011148035526276,
-0.9144450426101685,
0.7669848799705505,
-0.14227136969566345,
0.3733940124511719,
0.10501040518283844,
-0.09018788486719131,
0.09893094003200531,
-0.5390371084213257,
0.03636696189641... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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... | no | 0 | NIv2 | task115_help_advice_classification | fs_opt | [
0.1863941252231598,
0.5937196016311646,
0.12399853020906448,
0.2581903338432312,
0.3375966548919678,
-1.1904107332229614,
0.9022267460823059,
0.945817768573761,
-0.1821703016757965,
0.47119951248168945,
-0.29836875200271606,
-0.40092524886131287,
-0.6385664939880371,
-0.09973899275064468,
... |
Detailed Instructions: You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You... | Since PersonX was the math teacher of PersonY, _ had their math problems graded over the weekend. | 8 | NIv2 | task035_winogrande_question_modification_person | zs_opt | [
0.5251120924949646,
0.31317052245140076,
-0.37581437826156616,
-0.8660612106323242,
0.3872233033180237,
-0.8491001129150391,
1.332488775253296,
0.8923125863075256,
-0.2811938226222992,
-0.743632435798645,
-0.30446481704711914,
0.17280825972557068,
-0.5126557946205139,
0.08274131268262863,
... |
Teacher:In this task, you are given a sentence in English, and your task is to translate it into Persian.
Teacher: Now, understand the problem? Solve this instance: Thailand: North Korean Refugees in Thailand · Global Voices
Student: | تایلند: شرایط بد پناهندگان | 6 | NIv2 | task663_global_voices_en_fa_translation | zs_opt | [
-0.23723594844341278,
0.30347636342048645,
0.14895662665367126,
-0.5266788005828857,
-0.08457750082015991,
-0.6061162948608398,
0.17694726586341858,
0.44941842555999756,
-0.10509925335645676,
0.5840551853179932,
0.1268526315689087,
-0.031027276068925858,
-0.052449099719524384,
-0.272246897... |
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 neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid usi... | The elephants are siblings. | 8 | NIv2 | task184_snli_entailment_to_neutral_text_modification | zs_opt | [
-0.20596358180046082,
0.39307892322540283,
-0.031164878979325294,
-0.5238543748855591,
-0.509559154510498,
-0.10318325459957123,
0.052951961755752563,
0.5636523365974426,
0.4093727469444275,
-0.3676850199699402,
-0.31361985206604004,
-0.35037192702293396,
-0.6823673248291016,
0.08903562277... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while '... | Offensive | 0 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.45587924122810364,
0.14286914467811584,
0.5135878324508667,
0.16557924449443817,
-0.3652433156967163,
-0.5813082456588745,
0.2992725372314453,
0.3277067542076111,
0.29906219244003296,
0.35711032152175903,
-0.10746190696954727,
-0.2336512804031372,
-0.6501748561859131,
-0.624577164649963... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Ash was looking for a certain type of fabric for a fashion project but could not find that specific type.... | What will Ash want to do next? | 6 | NIv2 | task596_mocha_question_generation | zs_opt | [
-0.22055329382419586,
0.4545794129371643,
0.2004101574420929,
-0.11937583982944489,
-0.5755677223205566,
0.16742388904094696,
0.26377469301223755,
0.23289422690868378,
0.23495294153690338,
-0.1146509051322937,
-0.6127198338508606,
-0.22476507723331451,
-0.26366597414016724,
0.0082366624847... |
Definition: This task is about translating a given French language sentence to English.
Input: SALE CLASSE CHEATEEEE !!!!
Output: | WHY!!!! YOU SUCKS HOLLYWOOD!!!!!!! | 2 | NIv2 | task1690_qed_amara_translation | zs_opt | [
-0.4503846764564514,
0.27256596088409424,
-0.1373099684715271,
-0.20660801231861115,
0.2920815348625183,
0.12757688760757446,
-0.16527707874774933,
0.47569888830184937,
0.31892889738082886,
0.15706056356430054,
-0.04590936750173569,
0.4502333402633667,
-0.1436793953180313,
-0.4688634872436... |
Given the task definition and input, reply with output. In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by... | [49, 27, -68] | 5 | NIv2 | task367_synthetic_remove_floats | zs_opt | [
0.1149318665266037,
0.5465754270553589,
-0.08992874622344971,
-0.33805549144744873,
0.05566655099391937,
-0.15525606274604797,
0.966302216053009,
0.26686474680900574,
-0.2548239231109619,
0.02211352065205574,
-0.5846143960952759,
0.09122303128242493,
-0.09117665886878967,
0.003424238879233... |
Instructions: The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever availab... | No | 3 | NIv2 | task356_casino_classification_negotiation_self_need | zs_opt | [
0.043704234063625336,
0.08595683425664902,
-0.2026602029800415,
0.09327545762062073,
-0.16482093930244446,
-1.3598641157150269,
0.09565915167331696,
0.7341580390930176,
-0.32126787304878235,
0.29763394594192505,
0.3528001308441162,
-0.14011961221694946,
-1.0979968309402466,
-0.356701135635... |
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... | Output: No emotion,No emotion,No emotion,No emotion
| 2 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.09588685631752014,
0.2847273349761963,
-0.21299150586128235,
0.16411222517490387,
0.29801666736602783,
-0.9840713739395142,
0.8556035757064819,
0.11944155395030975,
-0.028055179864168167,
-0.14016807079315186,
-0.40711814165115356,
0.19867709279060364,
-0.25716936588287354,
0.42919966578... |
In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answer
5142 # 5... | 328
| 0 | NIv2 | task087_new_operator_addsub_arithmetic | fs_opt | [
-0.5892659425735474,
0.4043726921081543,
-1.0352952480316162,
-0.08361844718456268,
-0.660857081413269,
-0.24817462265491486,
0.18342991173267365,
1.0713061094284058,
0.5899721384048462,
-0.09022869914770126,
-0.6957157850265503,
-0.3419857621192932,
-0.04035043716430664,
0.189775586128234... |
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.
One example is below.
Q: Statement: Next to the MGM Grand you will f... | 1 | 9 | NIv2 | task202_mnli_contradiction_classification | fs_opt | [
0.1511266827583313,
0.22565987706184387,
-0.15473680198192596,
0.13997478783130646,
0.36805808544158936,
-0.9479086995124817,
-0.4679500162601471,
0.8724737167358398,
0.08107567578554153,
0.04840310662984848,
-0.1245780885219574,
-0.3300531804561615,
-0.17223599553108215,
-0.71237432956695... |
Detailed Instructions: In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Q: Fact1: Mollusks are a major food source for other organisms, including humans., Fact2: An abalone is a shellfish or mollusk., Questi... | C | 9 | NIv2 | task1297_qasc_question_answering | zs_opt | [
0.592785656452179,
0.5777836441993713,
-0.10019723325967789,
-0.3859104812145233,
-0.8996286988258362,
-1.140181064605713,
0.801215410232544,
0.04177742823958397,
0.005974969826638699,
-0.4755661189556122,
-0.41051313281059265,
-0.6223095655441284,
-0.5031402111053467,
0.025285866111516953... |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
He picks up the liquor bottles that he will be using for the drinks. He | stretches his hand as if to drink it but then goes on putting his back on the table again. | 0 | NIv2 | task453_swag_answer_generation | zs_opt | [
0.6834684610366821,
1.5157279968261719,
0.10205323994159698,
0.16495788097381592,
-0.4581194221973419,
0.01055344007909298,
-0.22186309099197388,
0.521885871887207,
0.6278631687164307,
0.019663002341985703,
0.08262830227613449,
0.27743884921073914,
-1.3719990253448486,
0.13735876977443695,... |
This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
One example: ఇల్లు అందంగా ఉంది
Solution is here: Telugu
Explanation: The language is Telugu so it is correct.
Now, solve this: SmCo అయస్కాంతాలు - చైనా నింగ్బో లేకుండా
Solution: | Telugu | 6 | NIv2 | task1618_cc_alligned_classify_tel_eng | fs_opt | [
-0.08244394510984421,
0.8947216272354126,
0.7448027729988098,
-0.07046480476856232,
0.3407498598098755,
-0.8258227109909058,
0.1411098837852478,
0.2557714879512787,
-0.21743124723434448,
0.09807981550693512,
-0.27901679277420044,
-0.13908560574054718,
-1.0787367820739746,
-0.19693167507648... |
Q: You are given a statement written in Tamil. 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: <MASK>, பிரிக்பீல்ட்ஸ் பகுதியில் இருக்கும் துன் சம்பந்தன் சாலையில் இளம் ஆண்கள் கிறிஸ்துவ சங்கம் இருக்க... | கோலாலம்பூர் | 7 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | zs_opt | [
0.1753445565700531,
0.7509405612945557,
-0.49977603554725647,
-0.18041548132896423,
-0.26328837871551514,
-0.8592549562454224,
0.13307060301303864,
0.20093247294425964,
0.0021143138874322176,
0.4062647223472595,
-0.19924131035804749,
0.7001328468322754,
-0.2122923880815506,
-0.214581370353... |
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 matters.
Q: Comment: Funny, were you saying the same thing about Obama and his ... | Sexual-explicit | 4 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-1.0732390880584717,
0.04362054169178009,
0.8597714304924011,
0.21672984957695007,
0.1476368010044098,
-0.09597912430763245,
-0.11263646185398102,
0.3402436375617981,
0.33098548650741577,
0.48538774251937866,
-0.04487578570842743,
-0.24388471245765686,
0.2784602642059326,
-1.06790804862976... |
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 Arabic.
Now I hope all of you feel better.
Output: | الآن أرجو أنكم تشعرون بتحسن. | 1 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
-0.45902782678604126,
0.35009777545928955,
0.149509996175766,
-0.5991400480270386,
0.28048691153526306,
-0.12445369362831116,
0.08647550642490387,
-0.07192531228065491,
0.6071040630340576,
0.5532652735710144,
-0.28009071946144104,
0.20834249258041382,
-0.39523398876190186,
0.14302875101566... |
In this task you are given a premise and two alternatives in Vietnamese. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Ex... | Solution: 1 | 5 | NIv2 | task1182_xcopa_commonsense_reasoning_vi | fs_opt | [
-0.5400745868682861,
0.3906380534172058,
0.020019803196191788,
0.11761105060577393,
-0.4867435693740845,
0.04722990468144417,
0.47212401032447815,
1.1368597745895386,
0.17783436179161072,
0.2945786714553833,
-0.37180954217910767,
-0.06878799200057983,
0.31102123856544495,
-0.10330423712730... |
You will be given a definition of a task first, then some input of the task.
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from t... | the marble? | 1 | NIv2 | task178_quartz_question_answering | zs_opt | [
-0.17685063183307648,
0.8362938165664673,
-0.28989601135253906,
0.05933830887079239,
-0.13133004307746887,
-0.09715653955936432,
0.45558035373687744,
0.6092402935028076,
-0.07810201495885849,
-0.15975913405418396,
-0.2667362689971924,
-0.42191678285598755,
-0.13591301441192627,
-0.15875786... |
Given the task definition and input, reply with output. In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
و تا کسانى را که گفتهاند: خداوند فرزندى گرفته است، هشدار دهد.
| And that it may warn those who say: "God has begotten a son." | 5 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.7877432107925415,
0.9895434379577637,
-0.27737510204315186,
-0.5634090900421143,
-1.1126652956008911,
0.22050514817237854,
0.640949010848999,
0.280296266078949,
0.3532937169075012,
-0.2447631061077118,
-0.9415113925933838,
0.6454333066940308,
-0.6765967011451721,
0.46364080905914307,
... |
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.
Let me give you an example: 6, 14, [... | 2785, r, 6653, T, 8985, 699, 1651, 6307 | 8 | NIv2 | task091_all_elements_from_index_i_to_j | fs_opt | [
0.41437211632728577,
0.31575310230255127,
-0.9409872889518738,
-0.29731881618499756,
-0.36020809412002563,
-0.28483545780181885,
0.5124881863594055,
0.20532405376434326,
-0.7971413731575012,
0.1286330223083496,
-0.5622077584266663,
0.08633260428905487,
-0.0882527232170105,
0.16471922397613... |
Detailed Instructions: In this task you are given a medical question pair hand-generated. Your task is to classify a given post into two categories 1) 'Similar' if the given two questions have a same connotation 2) 'Dissimilar' if the given two questions have a different connotation or meaning.
Problem:Sentence1: When ... | Similar | 8 | NIv2 | task1645_medical_question_pair_dataset_text_classification | zs_opt | [
-0.8376470804214478,
0.31904762983322144,
-0.540723979473114,
-0.08910450339317322,
-0.37624412775039673,
-0.49532806873321533,
0.10545526444911957,
0.7939831018447876,
0.3022992014884949,
0.10666288435459137,
-0.2175673544406891,
-0.06751066446304321,
-0.35228705406188965,
-0.266894072294... |
Definition: This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, 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 incomplete... | themselves | 2 | NIv2 | task075_squad1.1_answer_generation | zs_opt | [
-0.07765607535839081,
1.1807794570922852,
0.553017258644104,
-0.607413113117218,
-0.00827968493103981,
-0.06126578152179718,
1.0425574779510498,
-0.18248870968818665,
0.2931751608848572,
-0.0401778519153595,
-0.6235108375549316,
-0.19486120343208313,
-0.7589255571365356,
0.6483215093612671... |
Detailed Instructions: In this task, you are presented with a term, a question, and a yes/no answer. For context, the term is associated with a short description. Write the simple facts one needs to know in order to answer the given question. The facts should be easily found on the web (e.g. mentioned in a Wikipedia pa... | Fact1: Iran is classified by the United States as an enemy. Fact2: Iran competed in the 2018 Winter Olympics. | 8 | NIv2 | task169_strategyqa_sentence_generation | zs_opt | [
-0.0316615030169487,
0.2394786775112152,
-0.443315327167511,
0.26654648780822754,
0.17207878828048706,
-0.7590582370758057,
-0.08791918307542801,
-0.01840844936668873,
0.03986399993300438,
0.35489314794540405,
-0.3230445981025696,
0.5176778435707092,
-0.10532213002443314,
-0.29585233330726... |
Given the task definition and input, reply with output. In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' fo... | Yes | 5 | NIv2 | task608_sbic_sexual_offense_binary_classification | zs_opt | [
-1.28122878074646,
0.7058297395706177,
0.4729563593864441,
0.1928143948316574,
-0.42659974098205566,
0.4296104907989502,
0.10866644978523254,
0.629383385181427,
0.19135546684265137,
-0.08408381044864655,
-0.02826184593141079,
-0.2009465992450714,
-0.6145082712173462,
-0.5323203802108765,
... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.... | X
| 6 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.5913013219833374,
0.29231947660446167,
0.008771986700594425,
-0.025176599621772766,
0.08075244724750519,
-0.7038825750350952,
0.7050457000732422,
0.9398894309997559,
-0.7292598485946655,
-0.04111342877149582,
-0.4770278334617615,
0.06434252858161926,
-0.5090975761413574,
0.50387972593307... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Q: Y si conseguimos ponernos de acuerdo en un precio y en una forma de medir si hemos tenido éxito en reducir la reincidencia criminal, entonces podemos hacer algo que nos parece bastante interesante.
... | ואם נוכל להסכים גם על ערך וגם על שיטה למדוד אם הצלחנו להפחית את הפשיעה החוזרת, נוכל לעשות משהו די מעניין, לדעתנו. | 9 | NIv2 | task1229_ted_translation_es_he | zs_opt | [
-1.108441948890686,
0.4978538155555725,
0.1135791689157486,
-0.4266684651374817,
-0.34896528720855713,
-0.20667687058448792,
0.5666568279266357,
0.47217246890068054,
0.526846170425415,
0.5298421382904053,
-0.7919201850891113,
0.3201723098754883,
-0.7526551485061646,
0.2549377679824829,
0... |
Detailed Instructions: A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: ناگپور سکندرآباد سیکشن کی ترقی کے لئے پروجیکٹ کا نفاذ، اس میں مسافرٹرینوں کی رفتار 200کلومیٹر فی گھنٹہ تک کرنے کے علاوہ اس سیکشن کی مم... | ए. यात्री गाड़ियों की गति 200 किलोमीटर प्रतिघंटे (सेमी हाई स्पीड) बढाने के लिए नागपुर-सिकंदराबाद सेक्शन के उन्नयन के लिए परियोजना को लागू करना। इसमें भारतीय रेल नेटवर्क के अन्य निर्देशों सहित सेक्शन का संभावित विस्तार शामिल है। | 9 | NIv2 | task1054_pib_translation_urdu_hindi | zs_opt | [
-0.9665076732635498,
0.8375534415245056,
0.1496262550354004,
0.06767329573631287,
-0.533100962638855,
-0.5023298263549805,
0.4375113546848297,
-0.18656904995441437,
-0.13042230904102325,
0.14834189414978027,
-0.2361242175102234,
-0.16444240510463715,
0.14126847684383392,
-0.123516857624053... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Let me give you an example: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט. "" היא אמרה, "" יש בו צבעים. יש בו תנועה.
The answer to this example can be: Pregunteille: "" É coma un soño? "" E dixo: ... | O que facemos é acelerar protóns — é dicir, núcleos de hidróxeno — a aproximadamente o 99.999999 por cento da velocidade da luz. | 8 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.7090451121330261,
1.005124568939209,
0.4735621511936188,
-0.8610376119613647,
-0.543339729309082,
-0.4743081331253052,
0.5214699506759644,
0.5910319089889526,
-0.5460523962974548,
-0.45769837498664856,
-0.318818062543869,
0.006655938923358917,
-1.1409783363342285,
-0.27931758761405945,
... |
You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must not be associat... | Output: We had to have more carbs in the meal instead of fats, because the _ were disgusting.
| 2 | NIv2 | task031_winogrande_question_generation_object | fs_opt | [
0.8034210801124573,
0.5994051694869995,
0.07108117640018463,
0.28195643424987793,
0.5732746124267578,
-0.7325081825256348,
0.585858941078186,
1.1219077110290527,
-0.39759019017219543,
-0.6150960922241211,
-0.36409997940063477,
0.28837233781814575,
-0.3428184688091278,
-0.04118318110704422,... |
In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, lik... | [-17.5, 1.0, 2.0, -54.5, -19.0, 14.5, 68.5] | 8 | NIv2 | task124_conala_pair_averages | fs_opt | [
-0.37113285064697266,
0.5533271431922913,
-0.42809122800827026,
-0.23107098042964935,
0.4488679766654968,
0.3807048201560974,
0.9135587215423584,
0.744458019733429,
0.23640704154968262,
-0.3281819224357605,
-0.6231065988540649,
-0.4727213680744171,
-0.002863620175048709,
0.5227463245391846... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Sentence1: The child was very shy. Sentence2: He acted like he didn't want to talk to us.... | I (myself), The child | 1 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
-0.050516463816165924,
0.5059345364570618,
0.17358066141605377,
-0.3961797058582306,
-0.0444910041987896,
-0.2696150541305542,
0.6501036286354065,
0.4724242687225342,
0.2442341446876526,
0.047199610620737076,
-0.6737122535705566,
-0.34283167123794556,
-0.1854080706834793,
0.105887867510318... |
Definition: In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
Input: "I don't have lobbyists... | ethics | 2 | NIv2 | task613_politifact_text_generation | zs_opt | [
-0.21060805022716522,
0.25791260600090027,
-0.30630481243133545,
-0.15069541335105896,
-0.697636604309082,
-0.16909094154834747,
0.5658314228057861,
-0.26489654183387756,
0.4680476188659668,
-0.4851362407207489,
-0.1756783425807953,
0.25234341621398926,
-0.18011780083179474,
-0.00559745356... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers,... | dirt | 0 | NIv2 | task1217_atomic_answer_generation | fs_opt | [
-0.5897964239120483,
1.0331792831420898,
-0.0897105485200882,
-0.42581987380981445,
-0.13405129313468933,
0.0030725791584700346,
1.0473483800888062,
0.7353005409240723,
0.179060161113739,
-0.7987974286079407,
-0.12993136048316956,
-0.9805872440338135,
-0.28380781412124634,
0.17614918947219... |
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: [97, 36, -44, -94, 42, -38, 83, 81, 12, -84, 97, -93]
A: | [61, 80, 50, 136, 80, 121, 2, 69, 96, 181, 190] | 4 | NIv2 | task125_conala_pair_differences | zs_opt | [
-1.0309319496154785,
0.4339345097541809,
-0.1464541256427765,
-0.8294172286987305,
-0.5913015604019165,
0.0513199120759964,
0.9389840364456177,
0.07404741644859314,
0.3427984416484833,
-0.2835887372493744,
-0.0002706250816117972,
-0.5466909408569336,
0.21863654255867004,
0.3724101185798645... |
You will be given a piece of text either about an everyday event, or a general statement. If the event seems a plausible event to you, or the general statement makes sense matches your commonsense, output 'True', otherwise output 'False'.
Let me give you an example: The glass fell of a three-story building, so it brok... | False | 8 | NIv2 | task116_com2sense_commonsense_reasoning | fs_opt | [
-0.9151178002357483,
0.4753100574016571,
-0.21953901648521423,
0.03126530721783638,
-0.1607818305492401,
-0.7584479451179504,
0.5603370666503906,
0.46595728397369385,
0.41663211584091187,
-0.1659020483493805,
-0.4362581670284271,
0.26044222712516785,
-0.1370534896850586,
0.2184409052133560... |
You will be given a definition of a task first, then some input of the task.
A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
দেশের যে সমস্ত জেলার উন্নয়নের প্রয়োজন বা চাহিদা রয়েছে, সেগুলির সার্বিক র... | ਪ੍ਰਧਾਨ ਮੰਤਰੀ, ਇਛੁੱਕ ਜ਼ਿਲ੍ਹਿਆਂ ਦੇ ਕਾਇਆ ਕਲਪ `ਤੇ ਕਾਨਫਰੰਸ ਨੂੰ ਸੰਬੋਧਨ ਕਰਨਗੇ | 1 | NIv2 | task1025_pib_translation_bengali_punjabi | zs_opt | [
-0.2975374460220337,
0.750366747379303,
0.19400371611118317,
-0.4325318932533264,
-0.14301234483718872,
-0.17145636677742004,
0.7831055521965027,
0.05473002791404724,
-0.22547011077404022,
0.3089873194694519,
-0.9303178787231445,
-0.3013305366039276,
-0.3207777738571167,
0.4364400506019592... |
Detailed Instructions: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Q: and he scorched through the dark streets so as to get home to his books at the least possible expense of time.
A: | چنان بود که گویی از ژرفترین احساسات دلش میگسلد و از خیابانهای تاریک بهشتاب میرفت تا هر چه زودتر به خانه برسد و با از دست دادن کمترین وقت ممکن کارش را آغاز کند. | 9 | NIv2 | task661_mizan_en_fa_translation | zs_opt | [
0.3181600570678711,
0.9473789930343628,
0.22644175589084625,
-0.24887359142303467,
-0.016845203936100006,
0.2433902621269226,
1.0960063934326172,
0.145583376288414,
-0.32443511486053467,
0.5416922569274902,
-0.11671948432922363,
0.9396128058433533,
-0.9357783198356628,
-0.21708261966705322... |
Instructions: 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.
Input: Kule meko kungabaluleka ukwahlukanisa amanzi etyiwa.
Output: | In this case it would be necessary to de-isolate the salt water main. | 3 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | zs_opt | [
0.39088717103004456,
0.8482152819633484,
0.08143441379070282,
-0.4293317198753357,
-0.18789654970169067,
-0.8684858679771423,
0.21476733684539795,
0.33252668380737305,
0.5178254246711731,
-0.1159440204501152,
0.20812878012657166,
-0.5438050031661987,
-1.0201700925827026,
-0.028941381722688... |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
[Q]: Love this pet feeder! It has automatic feedings so I don’t have to worry about feeding my dog anymore. The camera and microphone quality are v... | positive
| 5 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
-0.7604641318321228,
-0.6576992869377136,
-0.2683688998222351,
-0.43161439895629883,
0.2803751826286316,
-0.4803713858127594,
0.5630342960357666,
0.8036612272262573,
0.42818862199783325,
0.695722222328186,
0.10298289358615875,
-0.26791223883628845,
-0.44847702980041504,
-0.7164996862411499... |
A text is given in Panjabi. Translate it from the Panjabi language to the Urdu language. The translation must not omit or add information to the original sentence.
Example: ਇਹ ਉਹ ਸੱਚ ਹੈ ਜੋ ਬੰਗਾਲ ਦੇ ਲੋਕਾਂ ਨੂੰ ਚਿੰਤਨ ਮਨਨ ਦੇ ਉਸ ਪੱਧਰ 'ਤੇ ਲੈ ਜਾਂਦਾ ਹੈ ਜਿੱਥੇ ਪਹੁੰਚਣਾ ਮੁਸ਼ਕਿਲ ਹੁੰਦਾ ਹੈ। ਇਹ ਉਹ ਸੱਚ ਹੈ ਜਿਸ ਕਾਰਨ ਬੰਗਾਲ ਨੇ ਸਦੀਆਂ ਤੱਕ ਦੇ... | Solution: این آئی سی کا ٹیلی فون نمبر جس کی مدد سے نتائج تک آئی وی آر ایس کے ذریعے پہنچا جا سکتا ہے، حسب ذیل ہے: | 5 | NIv2 | task1051_pib_translation_punjabi_urdu | fs_opt | [
-0.07491207122802734,
0.8405137062072754,
-0.15512479841709137,
-0.9725871086120605,
-0.29985499382019043,
-0.8142868280410767,
1.4950026273727417,
0.151558980345726,
-0.49968016147613525,
0.13300871849060059,
-1.4574449062347412,
-0.01095794327557087,
-0.34871548414230347,
0.5117134451866... |
Definition: 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... | : | 2 | NIv2 | task584_udeps_eng_fine_pos_tagging | zs_opt | [
0.16543763875961304,
0.2406352013349533,
-0.22238069772720337,
0.12396149337291718,
-0.10815269500017166,
-0.37929195165634155,
0.7995049953460693,
1.0821056365966797,
-0.38630765676498413,
-0.19901973009109497,
-0.25128376483917236,
0.45249614119529724,
-0.32644200325012207,
0.08440546691... |
Detailed Instructions: 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 that situation having read the premise. The update pro... | strengthener | 8 | NIv2 | task935_defeasible_nli_atomic_classification | zs_opt | [
0.10479429364204407,
0.524940550327301,
-0.6569446325302124,
0.4396502375602722,
-0.050328515470027924,
-0.919044554233551,
1.3356770277023315,
0.9168603420257568,
0.44595491886138916,
-0.5018759965896606,
-1.1263936758041382,
-0.5278215408325195,
-0.7313652038574219,
-0.005014164373278618... |
Detailed Instructions: In this task, you are given books 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.
Problem:decouverte d'un trés bon auteur . Livre original, drôle, sym... | POS | 8 | NIv2 | task482_cls_french_books_classification | zs_opt | [
-0.6921444535255432,
0.28854620456695557,
0.2994281053543091,
-0.5942896604537964,
0.6448608636856079,
-0.3293123245239258,
1.2086536884307861,
-0.8043078780174255,
0.8184885382652283,
0.5958077907562256,
-1.1103928089141846,
-0.2925698757171631,
-0.19018198549747467,
-0.4172697067260742,
... |
Part 1. Definition
In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
Part 2. Example
And the sun runs his course for a period determined for him: that is the decree of (Him), the Exalted in Might, the All-Knowing.
Answer: و خورشید [نیز برای آنان نشانهای از... | هر کس را بخواهد در رحمتش درآورد و برای ستمکاران عذابی دردناک آماده کرده است. | 7 | NIv2 | task656_quran_en_fa_translation | fs_opt | [
-0.6917712688446045,
1.152766227722168,
-0.07065896689891815,
-0.4638671278953552,
-0.5693250298500061,
-0.9283340573310852,
0.7930408716201782,
0.3676931858062744,
0.20297282934188843,
0.2744351029396057,
-0.4448815584182739,
0.7786250114440918,
-0.4412008225917816,
-0.1932825744152069,
... |
TASK DEFINITION: In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicat... | a
| 8 | NIv2 | task231_iirc_link_classification | fs_opt | [
1.0672297477722168,
0.36219701170921326,
-1.0275144577026367,
-0.07291620969772339,
0.40492287278175354,
-0.5473862886428833,
1.2833696603775024,
0.8269144296646118,
-0.214084193110466,
0.4212339520454407,
-0.4966866970062256,
-0.25549739599227905,
-0.38328269124031067,
-0.0024054432287812... |
In this task, you must modify the text given in the input to generate a paraphrased sentence. Your output sentence must retain the same meaning, but does not necessarily have to include all the details as the input text.
Example input: sentence_B_original: A man is eating a bowl of cereal.
Example output: The man is e... | An animated airplane is landing | 3 | NIv2 | task1614_sick_text_modify | fs_opt | [
-0.33485761284828186,
0.8885860443115234,
0.19127725064754486,
-0.8169159293174744,
-0.4564184248447418,
-0.20417451858520508,
0.8966469168663025,
0.8023326396942139,
-0.574779748916626,
-0.35336223244667053,
-0.24583716690540314,
-0.22012805938720703,
-0.3485987186431885,
0.13335573673248... |
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Input: אבל מה שיידרש הוא מחויבות מכולנו, בכדי לסרב למעשה להנחות נדושות, ולצאת מהקופסאות האידיאולוגיות שלנו.
Output: | But what it takes is a commitment from all of us to essentially refuse trite assumptions, get out of our ideological boxes. | 3 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.28868451714515686,
0.30221542716026306,
0.5578657984733582,
-0.061658695340156555,
-0.6085024476051331,
-0.7771542072296143,
0.31116628646850586,
-0.31127628684043884,
0.5504394769668579,
-0.2878819406032562,
-0.5701684355735779,
-0.26316750049591064,
-0.5902220010757446,
0.153855741024... |
In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a proper noun ph... | The precise reason for the call was not immediately clear .
| 5 | NIv2 | task610_conllpp_ner | fs_opt | [
-0.4523434638977051,
0.46449795365333557,
-0.06914131343364716,
0.0793491005897522,
-0.22927474975585938,
0.4020453989505768,
0.6450507640838623,
0.15645617246627808,
-0.08399203419685364,
-0.5034558773040771,
-0.588775098323822,
0.06067652255296707,
-0.3971326947212219,
-0.030683271586894... |
Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Input: Iso supón arredor de 1.450 millóns de dólares só en gasto de tradución.
Output: | E 'l'equivalente di quasi 1,45 miliardi di dollari statunitensi solo di costi di traduzione. | 2 | NIv2 | task1243_ted_translation_gl_it | zs_opt | [
0.007461973000317812,
0.35736170411109924,
-0.3084549307823181,
-0.04355282336473465,
0.36575716733932495,
-0.14228162169456482,
-0.11480091512203217,
0.9123270511627197,
0.06101151555776596,
-0.8509231805801392,
-0.5355092883110046,
0.17122822999954224,
0.15948283672332764,
0.288781434297... |
Detailed Instructions: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Problem:Category: FOOD
Clue: Last name of opera singer Luisa, who had a... | tetrazzini | 8 | NIv2 | task306_jeopardy_answer_generation_double | zs_opt | [
-0.3014684319496155,
1.038865566253662,
-0.6062005758285522,
-0.2655763030052185,
-0.16320130228996277,
0.8536490201950073,
0.7998097538948059,
0.11477380990982056,
0.20442673563957214,
-0.11564598977565765,
0.3812830150127411,
-0.25553470849990845,
-0.5572779178619385,
0.1294565051794052,... |
In this task, given a sentence in English Tokens, your task is to convert it into the English language
Q: Some observers concluded that such fraud might have affected the outcome in one of the contests for parliament , and several of those for the provincial assemblies .
A: | Some observers concluded that such fraud might have affected the outcome in one of the contests for parliament, and several of those for the provincial assemblies. | 4 | NIv2 | task547_alt_translation_entk_en | zs_opt | [
0.07382865250110626,
1.2047770023345947,
0.7117294073104858,
-0.7320742607116699,
0.048798818141222,
-0.45496630668640137,
0.03919108211994171,
0.6995974779129028,
-0.11267700791358948,
-0.3913227319717407,
-0.11821544915437698,
0.8908907175064087,
-0.6258013844490051,
0.012997080571949482... |
You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypothesis. Your... | neutral | 0 | NIv2 | task1529_scitail1.1_classification | zs_opt | [
-0.5450067520141602,
0.8127288818359375,
0.4037468433380127,
-0.014276795089244843,
-0.34004533290863037,
-0.5134638547897339,
0.5439989566802979,
0.6700413227081299,
0.36637574434280396,
-0.35043832659721375,
-0.8970037698745728,
0.685554563999176,
-0.5495226979255676,
0.3201127052307129,... |
Given the task definition and input, reply with output. 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). Person... | Yes | 5 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.022075921297073364,
0.6504441499710083,
0.5197910070419312,
-0.15605854988098145,
-0.39701488614082336,
-0.42978906631469727,
1.0936095714569092,
0.3664996922016144,
-0.5221447944641113,
-0.48969122767448425,
-0.3409639000892639,
-0.5174344778060913,
-0.6281239986419678,
0.20702224969863... |
Detailed Instructions: 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, ... | parent company | 9 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
-0.11546236276626587,
-0.01905057765543461,
0.07635340094566345,
-0.9347560405731201,
0.15445896983146667,
-0.007506906054913998,
0.20688655972480774,
-0.10630814731121063,
0.155746728181839,
0.11125561594963074,
-0.19679448008537292,
0.11191128194332123,
-0.40823495388031006,
0.4517155289... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
A bathroom with a book case in it with stacks of books in front of the toilet.
Output: | શૌચાલયની સામે પુસ્તકોના સ્ટેક્સ સાથે પુસ્તક કેસમાં બાથરૂમ. | 1 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | zs_opt | [
0.19948212802410126,
0.7279703617095947,
-0.35689806938171387,
-0.36320632696151733,
0.7503399848937988,
-0.02256741002202034,
-0.09852512180805206,
-0.3915182054042816,
0.13594458997249603,
-0.3944978713989258,
-0.024065155535936356,
0.10897800326347351,
-0.7253469228744507,
-0.1485513299... |
instruction:
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
question:
E, no que diz respeito a outras coisas que fazemos, pensem nos gémeos.
answer:
וכשאתם חושבים על דברים אחרים שעשינו. חשבו על תאומים.
question:
Mas vou continuar com o que tenho porque, ao contrá... | מה שאתם רואים הוא למעשה המצאה מנטלית שיצרתם שנחווית באופן פאסיבי כייצוג מיידי של העולם סביבכם.
| 9 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
-0.9947507381439209,
0.7315810918807983,
0.23015418648719788,
0.5053498148918152,
-0.2846006155014038,
0.4444875121116638,
0.5441747903823853,
0.25060272216796875,
0.3112557530403137,
-0.5478019118309021,
-1.070434331893921,
0.4659246802330017,
-1.160376787185669,
0.37850895524024963,
0.... |
Detailed Instructions: The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Problem:The conversation with Justin was threatening.
... | fear | 8 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | zs_opt | [
-0.33744436502456665,
0.18817615509033203,
0.3301711678504944,
-0.661884605884552,
-0.2752875089645386,
-0.17350804805755615,
0.7696279287338257,
0.5685960054397583,
0.14251911640167236,
-0.05529092997312546,
-0.4426769018173218,
-0.3184475302696228,
-0.5440279245376587,
-0.128586560487747... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
[Q]: Podríamos incluso imaginar una versión de este escenario en la cual la gente construyera sus propios teléfonos.
[A]: Potremmo addirittura immaginare una versione di questo scenario dove la gente si costruisce il propr... | Il che significa che conosciamo la giusta combinazione di caldo e freddo e i cicli di cui si ha bisogno per far germogliare i semi.
| 5 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.5785073041915894,
0.7730637788772583,
-0.30933067202568054,
-0.1063237413764,
-0.06813584268093109,
-0.6021384000778198,
0.38402050733566284,
0.977409303188324,
0.0659078061580658,
-0.34568482637405396,
-0.5342081189155579,
0.8342280983924866,
-0.22333809733390808,
0.530691385269165,
... |
Detailed Instructions: Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Problem:The man does a flip from a handstands. We
Solution: | moves past the buckbeak's center with the ball! | 8 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
0.18423767387866974,
1.2290194034576416,
0.12227009236812592,
-0.6986497640609741,
-0.35740238428115845,
0.20528587698936462,
0.29700422286987305,
0.3756532073020935,
0.25261056423187256,
0.17723435163497925,
-1.0395599603652954,
0.07209920138120651,
-1.014297604560852,
0.12761598825454712... |
In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant ... | True
| 5 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
-0.8908072113990784,
0.6911090612411499,
-0.24783755838871002,
-0.4347637891769409,
-0.25446873903274536,
-0.19832812249660492,
0.5188895463943481,
0.7745639085769653,
0.2545475363731384,
-0.30546775460243225,
-0.998995840549469,
0.12183412164449692,
-0.02133055590093136,
0.310805529356002... |
A text is given in English. Translate it from the English language to the Oriya language. The translation must not omit or add information to the original sentence.
Let me give you an example: Remembering revered Bapu, we should move out of home collecting single-use plastic from homes, streets, chowks, and drains
The... | 2017ରେ ଏହା ତୃତୀୟ ମେଟ୍ରୋ ଲାଇନ ଯାହାର ଉଦ୍ଘାଟନ ପ୍ରଧାନମନ୍ତ୍ରୀ କରିବେ । ଏଥିପୂର୍ବରୁ ସେ କୋଚି ମେଟ୍ରୋ ଏବଂ ନଭେମ୍ବରରେ ହାଇଦ୍ରାବାଦ ମେଟ୍ରୋକୁ ରାଷ୍ଟ୍ର ଉଦ୍ଦେଶ୍ୟରେ ସମର୍ପିତ କରିଥିଲେ । ଏହି ଦୁଇ ପ୍ରକଳ୍ପର ଉଦ୍ଘାଟନ ଅବସରରେ ପ୍ରଧାନମନ୍ତ୍ରୀ ସାଧାରଣ ସଭା ସ୍ଥଳରେ ପହଞ୍ଚିବା ପୂର୍ବରୁ ନୂଆ ମେଟ୍ରୋ ଲାଇନରେ କିଛି ଦୂର ଯାତ୍ରା କରିଥିଲେ । | 8 | NIv2 | task987_pib_translation_english_oriya | fs_opt | [
0.3681498169898987,
0.3046647012233734,
-0.8822003602981567,
-0.03902606666088104,
0.5917648673057556,
-0.9461134672164917,
0.20903247594833374,
0.3349260687828064,
-0.2991144061088562,
0.7988142967224121,
-0.027315868064761162,
0.7971706390380859,
0.17340290546417236,
-0.20819956064224243... |
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Let me give you an example: Abstract: This study was designed to determine the influence of a long-term, moderate-intensity treadmill tra... | yes | 8 | NIv2 | task1587_scifact_classification | fs_opt | [
0.2883450388908386,
0.46997883915901184,
-0.4850834012031555,
0.47055837512016296,
1.0105750560760498,
0.1150539368391037,
0.2626909017562866,
0.821166455745697,
-0.0032455509062856436,
-0.08814583718776703,
-0.7904874682426453,
-0.01484009064733982,
-0.8644105195999146,
0.0862790644168853... |
You will be given a definition of a task first, then some input of the task.
This task is to translate a news commentary given in French language into Russian language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the c... | Но для миллионов жителей Центральной и Восточной Европы вслед за освобождением наступила сталинская тирания. | 1 | NIv2 | task1377_newscomm_translation | zs_opt | [
0.04994189739227295,
0.17379292845726013,
-0.25203007459640503,
0.12122675776481628,
0.21513068675994873,
0.5119953155517578,
0.6804780960083008,
0.7780969142913818,
0.6115097403526306,
-0.11996239423751831,
-0.5148473978042603,
-0.4990679919719696,
-0.08239662647247314,
0.3026614189147949... |
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Q: [که] مردم را از جا مىکند؛ گویى تنههاى نخلى بودند که ریشهکن شده بودند.
A: | Which snatched away men as though they were palm trees pulled out by the roots. | 4 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.7412276268005371,
1.1898391246795654,
-0.07017186284065247,
-0.7791489958763123,
-0.28397807478904724,
-1.0308867692947388,
0.8666874170303345,
0.4623757600784302,
-0.2702137529850006,
0.24266529083251953,
-1.1102237701416016,
0.3689253330230713,
-0.6825196743011475,
0.5133998990058899,... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | blue_envelope
| 5 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.26637306809425354,
-0.4504006505012512,
-0.3388734757900238,
0.05482633411884308,
-0.2953885793685913,
-0.46439987421035767,
-0.05244087427854538,
0.8114792108535767,
0.23959259688854218,
-0.061310961842536926,
-0.46195119619369507,
0.837101399898529,
-0.16497299075126648,
-0.06959702819... |
In this task, you are to Translate German text to English
One example: Das Textilband (1) ist insbesondere als (Kreuz-) Band-, Ligament- oder Sehnenersatz einzusetzen.
Solution is here: The textile band (1) is used particularly as (cross) ligament or tendon replacement.
Explanation: The translation is fluent, formal, a... | After a while, the rods are pushed through between rotating cleaning brushes (4) and then pulled through transport rollers (3) and laid on a table (1). | 6 | NIv2 | task841_para_pdt_de_en_translation | fs_opt | [
0.07743704319000244,
0.91835618019104,
-0.8744881749153137,
0.5031847953796387,
0.01777377724647522,
-0.5356073975563049,
0.3694392740726471,
0.24897272884845734,
-0.15265443921089172,
0.5171768665313721,
-0.19149693846702576,
0.08364586532115936,
-0.4232547879219055,
0.061814989894628525,... |
Given the task definition and input, reply with output. This task is about translating a given English language sentence to Yoruba language.
Social networks were generally built on the idea of sharing posts, photographs, and personal information.
| A gbé ẹ̀rọ-alátagbà kalẹ̀ fún pínpín àyọkà, àwòrán àti ìwífún nípa ara ẹni. | 5 | NIv2 | task1685_menyo20k_translation | zs_opt | [
0.1105644553899765,
0.5930004119873047,
0.41885852813720703,
0.1418822705745697,
0.1007881909608841,
0.19497598707675934,
-0.18408964574337006,
0.5571181774139404,
0.5359266996383667,
-0.7143794298171997,
0.07836013287305832,
0.673408031463623,
-1.109700083732605,
0.1168871819972992,
0.2... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given reviews written about the books in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
অসাধারণ একটি বই, লজিকাল স্কি... | positive | 0 | NIv2 | task1497_bengali_book_reviews_sentiment_classification | fs_opt | [
-0.9151108264923096,
0.06467526406049728,
0.0811082124710083,
-0.335692822933197,
-0.01922788843512535,
0.6933004856109619,
0.9057530760765076,
0.36277902126312256,
0.1046987920999527,
0.010653434321284294,
-0.8114117383956909,
0.5831639766693115,
-0.8350734114646912,
-0.1710316389799118,
... |
Instructions: Two analogies that relate places/locations to the associated travel mode is given in the form "A : B. C : ?". "A : B" relates place A to travel mode B. Your task is to replace the question mark (?) with the appropriate travel mode for the given place C, following the "A : B" relation.
Input: museum : bus.... | airplane | 3 | NIv2 | task1154_bard_analogical_reasoning_travel | zs_opt | [
0.1884436458349228,
0.38980862498283386,
-0.665544867515564,
0.12441124022006989,
-0.7457947731018066,
0.22886237502098083,
0.8191113471984863,
-0.0342322438955307,
0.3998541831970215,
-0.17063748836517334,
-0.27954256534576416,
-0.025975514203310013,
0.8271907567977905,
0.0996429845690727... |
In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
[EX Q]: Context_1 : Álvaro Obregón Salido (] ; February 19, 1880 – July 17, 1928) was a general in the Mexic... | McG
| 6 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.4355429708957672,
0.3905603289604187,
-0.5967966318130493,
0.5446000099182129,
0.5495637655258179,
-0.1849706768989563,
0.8017198443412781,
0.9425036907196045,
-0.16774608194828033,
0.46724098920822144,
-0.5897984504699707,
0.4091309905052185,
-0.8355895280838013,
-0.04504447430372238,
... |
instruction:
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 th... | [-6, 17, -10, -22, -16, -10]
| 9 | NIv2 | task096_conala_list_index_subtraction | fs_opt | [
0.6519671678543091,
0.11836600303649902,
-0.832221508026123,
-0.3609115779399872,
0.03436566889286041,
-0.32011938095092773,
1.3971084356307983,
0.46050339937210083,
0.13512706756591797,
-0.4757339358329773,
-0.6240288019180298,
-0.24110853672027588,
-0.4876991808414459,
0.0857886075973510... |
Part 1. Definition
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is potentially offensive to anyone (i.e., a subset of people, any particular person, etc.), 2) no, otherwise. Note that potentially offensive posts can co... | No | 7 | NIv2 | task609_sbic_potentially_offense_binary_classification | fs_opt | [
0.06099545210599899,
0.0051836250349879265,
0.5005049109458923,
0.02134411223232746,
0.39651429653167725,
0.08613865077495575,
0.7188670635223389,
0.42930638790130615,
0.5049283504486084,
-0.1502409428358078,
-0.12039269506931305,
-0.24849508702754974,
-0.5409903526306152,
-0.6891828179359... |
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.
Example: ଏହି ପ୍ରସଙ୍ଗରେ ନୀତି ପ୍ରଣୟନ ସମୟରେ ଉଚ୍ଚସ୍ତରୀୟ କମିଟିର ସୁପାରିସଗୁଡ଼ିକୁ ପେଟ୍ରୋଲିୟମ ଏବଂ ପ୍ରାକୃତିକ ବାଷ୍ପ ମନ୍ତ୍ରଣାଳୟ ବିବେଚନା କରିବ ବୋଲି ସୂଚନା ମିଳିଛି ।
Example so... | Solution: महिला एवं बाल विकास मंत्रालय | 5 | NIv2 | task986_pib_translation_oriya_hindi | fs_opt | [
0.13213664293289185,
0.6117184162139893,
-0.3187892735004425,
0.7437861561775208,
0.2192908227443695,
-1.2962253093719482,
0.30805641412734985,
0.4599952697753906,
-0.8568439483642578,
0.47283804416656494,
-0.6001798510551453,
-0.23697687685489655,
-0.1998460590839386,
0.1062190979719162,
... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
One example is below.
Q: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
A: a, 34, f
Rationale... | a, 473, P, 2107, e, 7191 | 9 | NIv2 | task063_first_i_elements | fs_opt | [
-0.03281041979789734,
0.741237223148346,
-0.15519613027572632,
-0.7441165447235107,
-0.48202061653137207,
-0.12381824851036072,
0.9389828443527222,
0.26332980394363403,
-0.07955433428287506,
-0.0457017719745636,
-1.0687875747680664,
-0.22668839991092682,
-0.11885515600442886,
-0.5653351545... |
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
[EX Q]: សមាជិកមួយចំនួនរបស់ក្រុមយូអេសអេ បានជួបការលំបាក និងមិនអាចចាប់ផ្តើម ឬបព្ចាប់ការប្រកួតរបស់ពួកគេ។
[EX A]: アメリカチームのメンバーの中には少数ながらうまくいかなかった人... | トーナメントの結果は、様々に入り混じっていたにもかかわらず、Kukrisは、なんとかJugFinalを獲得しました。
| 6 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
0.45434972643852234,
-0.20833736658096313,
-0.7648307085037231,
-0.32111692428588867,
0.2582983374595642,
-0.5518724918365479,
0.10957913100719452,
0.3975445330142975,
-0.45310908555984497,
-0.16595786809921265,
-0.3083276152610779,
0.5373621582984924,
-0.6116991639137268,
0.53364562988281... |
Given the task definition and input, reply with output. In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with th... | 2 | 5 | NIv2 | task201_mnli_neutral_classification | zs_opt | [
-0.06056927517056465,
0.0015865382738411427,
-0.12523117661476135,
0.4790121614933014,
0.3137832283973694,
-0.44995492696762085,
-0.08559572696685791,
1.1610937118530273,
-0.039272893220186234,
0.173343688249588,
-0.4181932508945465,
-0.173357754945755,
-0.3592378795146942,
-0.589682519435... |
Detailed Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of ... | ADD | 4 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.03917098417878151,
0.3215268850326538,
-0.22838634252548218,
0.19754573702812195,
-0.14348480105400085,
-0.6728029251098633,
0.5672520399093628,
0.8602346777915955,
-0.41957372426986694,
-0.07144787907600403,
-0.5129132270812988,
0.5977389812469482,
-0.4565683901309967,
0.088894605636596... |
Instructions: Given a premise and two alternatives, choose the alternative that is a more plausible cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Input: I exited my bedroom through... | 1 | 3 | NIv2 | task827_copa_commonsense_reasoning | zs_opt | [
-0.7575104236602783,
0.83797287940979,
-0.35817521810531616,
0.3279353380203247,
-0.31405559182167053,
-0.3702295422554016,
0.5269433259963989,
0.5160884857177734,
0.3126288652420044,
0.2909170985221863,
-0.4842855632305145,
-0.2963288426399231,
-0.21690043807029724,
-0.04950087144970894,
... |
Definition: 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".
Input: Review: Thanks for killing the franchise with th... | no | 2 | NIv2 | task285_imdb_answer_generation | zs_opt | [
0.005786573514342308,
0.17204368114471436,
-0.5914586782455444,
0.47495049238204956,
0.2793768048286438,
-0.29817306995391846,
0.830238938331604,
1.1470144987106323,
-0.08450603485107422,
0.198965385556221,
-0.1613313853740692,
0.37871378660202026,
-0.06285910308361053,
-0.2321476340293884... |
Teacher: In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Teacher: Now, understand the problem? If you are still confused, see the following example:
Fact1: a plant requires sunlight to grow, Fact2: Plants t... | H | 2 | NIv2 | task1297_qasc_question_answering | fs_opt | [
0.7988927364349365,
-0.4003140330314636,
-0.39627140760421753,
-0.23675313591957092,
-0.38716888427734375,
-1.7321239709854126,
-0.23733772337436676,
1.2097656726837158,
-0.07701323181390762,
-0.22371350228786469,
-0.3114606440067291,
-0.13044673204421997,
-0.6141902208328247,
-0.522122263... |
You are given a statement written in Malayalam. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
One example: Statement: ഈസ്റ്റേൺ കാറ്റിൽ ഈഗ്രറ്റ് (B. i. coromandus) - 1783 - ൽ പീറ്റർ ബൊഡേർട്ട് ആണ് ആദ്യമായി വി... | കോൺസ്റ്റാന്റിനോപ്പിൾ | 6 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
0.48551833629608154,
0.6146115660667419,
-0.29421889781951904,
-0.16680315136909485,
0.03884676843881607,
-0.8799794912338257,
0.517690896987915,
0.8449242115020752,
-0.30809760093688965,
0.14439328014850616,
-0.27535736560821533,
0.5880686044692993,
-0.40872371196746826,
-0.39532184600830... |
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Q: Sentence1: Tom Kraynak , manager of operations and resources for the Canton , Ohio-based East Central Area Reliability Council , said that scenario is one among many that inv... | Yes
****
| 4 | NIv2 | task1288_glue_mrpc_paraphrasing | fs_opt | [
-0.33224403858184814,
0.09710967540740967,
0.013629494234919548,
0.36272451281547546,
0.4696548879146576,
-1.0439317226409912,
-0.12005931884050369,
1.1798465251922607,
0.2888244092464447,
0.3233719766139984,
-0.6831603050231934,
0.1367560625076294,
-0.8197176456451416,
-0.1968082040548324... |
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
W: How was your vacation last month? M: It was nice b... | To help Mary to prepare for the upcoming concert.
| 0 | NIv2 | task283_dream_incorrect_answer_generation | fs_opt | [
0.6117274761199951,
0.4417042136192322,
-0.4614754915237427,
-0.41976481676101685,
0.16581963002681732,
-0.46185433864593506,
0.7183538675308228,
0.48857825994491577,
0.5581622123718262,
-0.19242435693740845,
-0.5938072204589844,
-0.1370428055524826,
-0.09014027565717697,
-0.60358333587646... |
Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Example Input: Context : Kaliganj massacre (Bengali: কালিগঞ্জ হত্যাকান্ড) refers to the massacre of unarmed Bengali Hindus fleeing to India in K... | What was the award received by Willis H. Downs?
| 3 | NIv2 | task1326_qa_zre_question_generation_from_answer | fs_opt | [
0.2469295710325241,
0.17705854773521423,
-0.37487924098968506,
0.7983876466751099,
-0.422791063785553,
-1.0850605964660645,
0.8809564709663391,
0.02364731952548027,
-0.5913956165313721,
-0.42277562618255615,
-0.8265963196754456,
-0.08352725207805634,
-0.2235066443681717,
0.4475901424884796... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
Non metterò più chiodi sulla sedia dell'insegnante. È assurdo! | אני לא אשים נעצים על הכיסא של המורה. "" זה אבסורדי. | 0 | NIv2 | task1251_ted_translation_it_he | zs_opt | [
-0.40792977809906006,
0.23712846636772156,
-0.6418823003768921,
-0.5415620803833008,
-0.8561497926712036,
-0.8343244194984436,
-0.3551347851753235,
0.4942248463630676,
0.6983662247657776,
-0.7109928131103516,
-0.3072547912597656,
-0.10079110413789749,
-0.23204027116298676,
0.08297818899154... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence.
Q: In a year, a person can learn over 300 new words in different languages.
A: | ഒരു വര്ഷം കൊണ്ട് ഒരു വ്യക്തിക്ക് വിവിധ ഭാഷകളിലുള്ള 300 വാക്കുകള് പഠിക്കാനാകും. | 9 | NIv2 | task1021_pib_translation_english_malayalam | zs_opt | [
0.4148152768611908,
0.8851240277290344,
0.3007916808128357,
-0.42423349618911743,
0.12998929619789124,
-1.7233145236968994,
-0.0066543519496917725,
0.1871153861284256,
-0.6013076305389404,
-0.33200860023498535,
-0.3118895888328552,
-0.061712801456451416,
-1.1982309818267822,
0.266575813293... |
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in 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: Existential there, FW: Foreign word, IN: Preposi... | IN WP NN VBD DT NNP NN NN NN NN . | 0 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
-0.23076429963111877,
0.4933703541755676,
-0.43817827105522156,
0.35429030656814575,
-0.3187565803527832,
-0.2572198510169983,
0.9502075910568237,
0.39301353693008423,
0.10361887514591217,
-0.1577547937631607,
-0.28080108761787415,
0.14852836728096008,
-0.46066996455192566,
-0.163643300533... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Galician.
Q: I may say, we did all this work twice.
A: | Fixemos estas análises 2 veces, | 9 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
-0.6224700212478638,
1.268017292022705,
0.0040022218599915504,
0.00470384769141674,
0.12219902127981186,
-1.1092948913574219,
-0.541602611541748,
0.7287719249725342,
0.007051100488752127,
0.044312745332717896,
0.018566150218248367,
0.11955980211496353,
-0.2856728434562683,
0.12184187769889... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Example: Ao longo do livro, George chama a atenção de que a sua tecnologia, a tecnologia da biologia sintética, está atualmente a acelerar a... | Ha anche un soprannome, l'ormone delle coccole, perché viene rilasciato quando abbracciate qualcuno. | 1 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.11293362081050873,
1.3034512996673584,
-0.20522424578666687,
-0.09658816456794739,
0.0666593462228775,
-0.6337167024612427,
-0.7540920972824097,
1.5939006805419922,
-0.4898644983768463,
-0.05267000198364258,
-0.539705753326416,
0.1940385103225708,
-0.15176574885845184,
-0.32769036293029... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 0 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.31551820039749146,
0.30409640073776245,
0.328264057636261,
-0.3215695023536682,
-0.6415730714797974,
-0.5463488101959229,
1.4956727027893066,
0.5271016359329224,
-0.47749099135398865,
-0.39913851022720337,
-0.5878795385360718,
-0.3858352601528168,
-0.7535753846168518,
0.173533633351326,
... |
You will be given a definition of a task first, then some input of the task.
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Whose law made rest associated with no physically indistinguishable from zero constant velocity?
Output: | Whose law made rest physically indistinguishable from zero constant velocity? | 1 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt | [
-0.9530543088912964,
1.077760934829712,
0.3228895366191864,
-0.13947562873363495,
-0.5568822026252747,
0.12507806718349457,
0.9348728656768799,
0.6664714813232422,
0.6598477363586426,
-0.3104817569255829,
-0.6784358024597168,
-0.4449513852596283,
-0.704373300075531,
-0.29970651865005493,
... |
Teacher:Your task is to localize given English phrase into Hindi language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But only partial tran... | डिज़ीकैम के लिए इमेज़ हिस्टोग्राम एडजस्ट कर्व्स प्लगइन | 6 | NIv2 | task877_kde4_translation | zs_opt | [
-0.5624783039093018,
0.09588310867547989,
1.0319468975067139,
-0.05481080710887909,
0.06447012722492218,
-1.01962411403656,
0.35446709394454956,
0.5289586782455444,
-0.20798423886299133,
-0.7283816337585449,
-0.4759255647659302,
-0.17085476219654083,
-0.4236909747123718,
0.422630250453949,... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: tom traveled the entire 100 miles trip . if he did the first 50 miles of at a constant rate 2... | c | 1 | NIv2 | task1422_mathqa_physics | zs_opt | [
0.21463708579540253,
0.19750526547431946,
0.3161188066005707,
0.049410246312618256,
0.024962712079286575,
-0.5752753019332886,
0.3408668339252472,
0.6063735485076904,
-0.15832948684692383,
0.022135566920042038,
-0.5345442295074463,
-0.2183142751455307,
0.25317373871803284,
-0.5577614307403... |
In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.
Ex... | Solution: Original | 5 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.38009992241859436,
0.5362870693206787,
0.46557891368865967,
0.12905515730381012,
-0.04320748895406723,
-0.12269754707813263,
0.9914111495018005,
0.3684252202510834,
0.22615310549736023,
-0.4863879978656769,
-0.7843205332756042,
-0.5404260158538818,
-0.7724395990371704,
-0.11656656116247... |
Detailed Instructions: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Problem:And they took them out of the midst of the tent, and brought them unto Joshua, and unto all the children of Israel, and laid them out before the LORD.
Solution: | وایشان را امر فرموده، گفت: «اینک شما برای شهردر کمین باشید، یعنی از پشت شهر و از شهربسیار دور مروید، و همه شما مستعد باشید. | 8 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
0.6090320348739624,
1.0874617099761963,
-0.9673709273338318,
0.05005418136715889,
-1.014920949935913,
-0.4668876528739929,
0.9819066524505615,
0.1699415147304535,
0.634253978729248,
0.11035706847906113,
-0.059145037084817886,
1.0560798645019531,
-0.9433704018592834,
-0.2678890824317932,
... |
Teacher:In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Teacher: Now, understand the problem? Solve this instance: Edges Usually refers to the _ outside edges of the pages of a book.
Student: | three | 6 | NIv2 | task672_nummersense | zs_opt | [
-0.17663165926933289,
0.5847114324569702,
0.09377238154411316,
-1.5825790166854858,
-0.2761539816856384,
0.06910079717636108,
1.226968765258789,
0.749811053276062,
0.10359876602888107,
-0.7275119423866272,
-0.5903911590576172,
-0.1368139684200287,
-0.9479086399078369,
0.12601494789123535,
... |
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