inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes | 8 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
-0.058159708976745605,
-0.22429107129573822,
0.5050447583198547,
0.23502212762832642,
-0.11748260259628296,
-0.9896639585494995,
0.6825546026229858,
1.0323759317398071,
-0.5037757158279419,
-0.12977094948291779,
-0.5185894966125488,
-0.3239021301269531,
-0.6364502310752869,
0.2290926277637... |
Given the task definition and input, reply with output. 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... | weakener | 5 | NIv2 | task936_defeasible_nli_snli_classification | zs_opt | [
-0.0009821676649153233,
0.19531850516796112,
-0.3114258646965027,
0.3985278606414795,
-0.4609837234020233,
-0.7318282723426819,
0.55113685131073,
0.8550979495048523,
0.39509692788124084,
-0.29393476247787476,
-1.1433069705963135,
0.3922904133796692,
-0.4577963650226593,
0.11387264728546143... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classi... | (H) | 1 | NIv2 | task302_record_classification | zs_opt | [
0.2139212191104889,
0.753710925579071,
-0.46920841932296753,
0.2369312047958374,
0.32322680950164795,
0.13891102373600006,
0.5483647584915161,
0.2829776108264923,
0.16212929785251617,
-0.04076609015464783,
-0.08866902440786362,
0.7245258092880249,
-0.8813142776489258,
0.03349252790212631,
... |
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... | EX
| 3 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.22303470969200134,
0.2748773694038391,
-0.22264370322227478,
0.2288413941860199,
0.05930577963590622,
-0.8591241836547852,
0.6772791743278503,
0.9813919067382812,
-0.7338031530380249,
-0.26746636629104614,
-0.08791004121303558,
0.19844409823417664,
-0.4173239469528198,
-0.023379769176244... |
Detailed Instructions: In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or uniden... | Unidentifiable | 9 | NIv2 | task351_winomt_classification_gender_identifiability_anti | zs_opt | [
-1.1334806680679321,
0.7082194089889526,
-0.14559143781661987,
-0.5924277305603027,
0.29915669560432434,
-0.037338316440582275,
-0.5309559106826782,
1.1343364715576172,
0.4057689309120178,
0.5443912744522095,
-0.6725255250930786,
-0.3086594343185425,
-0.11281202733516693,
-0.46353417634963... |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Example input: Article: Homework can p... | No | 3 | NIv2 | task310_race_classification | fs_opt | [
0.2874489426612854,
0.32424214482307434,
-0.10641053318977356,
-0.2963331341743469,
0.36499619483947754,
-0.3508806824684143,
0.9123411178588867,
0.8913521766662598,
-0.46062204241752625,
-0.1936177760362625,
-0.0764375552535057,
-0.02055547758936882,
-0.3300344944000244,
0.292892217636108... |
Detailed Instructions: Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at mos... | Offices of Brazil’s environmental protection agency torched. | 4 | NIv2 | task1368_healthfact_sentence_generation | fs_opt | [
0.7668907642364502,
0.5704246163368225,
-0.1294519454240799,
-0.12551867961883545,
-0.024667616933584213,
-0.9266632795333862,
0.11448454856872559,
1.044431209564209,
-0.43401217460632324,
0.047757506370544434,
-0.43719616532325745,
0.4982766807079315,
-0.537948727607727,
0.238270297646522... |
TASK DEFINITION: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
PROBLEM: EM: Na verdade, há mais estações de recarga do que as pessoas pensam, e na Tesla nós desenvolvemos a chamada tecnologia de Supercarga, e estamos a oferecer isso a quem comprar um Model S de for... | و به این علت ، من از سال ۲۰۱۲ دارم روی این پروژه نمایشگاه علوم کار می کنم تا از آزمایشگاه به دنیای واقعی بیارمش.
| 8 | NIv2 | task1282_ted_translation_pt_fa | fs_opt | [
-0.019931234419345856,
0.3012152314186096,
0.3199126124382019,
-0.7270455360412598,
-0.3597797453403473,
-0.6607892513275146,
0.8110436201095581,
0.8654072284698486,
0.5059034824371338,
0.05351932719349861,
-0.369534432888031,
0.3103468418121338,
0.3001163899898529,
-0.03811853751540184,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
"" אף אדם אינו אי העומד בפני עצמו.
Solution: "" Nessun uomo è un'isola completamente a sé.
Why? The Heb... | Per intenderci: è più di quando spendano le società di venture capital all'anno - su tutto. | 0 | NIv2 | task1111_ted_translation_he_it | fs_opt | [
0.10203118622303009,
0.6269888877868652,
0.08452033251523972,
-0.08993785083293915,
-0.3325989246368408,
-0.5192960500717163,
1.23360013961792,
0.5996657609939575,
0.08472313731908798,
-0.5559262037277222,
-0.6180728077888489,
0.11295422166585922,
-0.8616543412208557,
0.23052862286567688,
... |
TASK DEFINITION: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
PROBLEM: מכנסיים אלה או אלה? OK, המכנסיים האלה.
SOLUTION: どっちのズボンがいい ？ こっちね
PROBLEM: זה מאוד לא סביר — באתר המיוחד הזה ועם אוסף האנשים הזה — אבל אתם עלולים למצוא את עצמכם מדברים עם מישהו שאתם מעדיפים להמנע... | 猫はバンの窓をすり抜けて出入りし
| 8 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
-0.15654028952121735,
0.09083373844623566,
-0.17419134080410004,
0.618981122970581,
-0.5347632169723511,
0.12190551310777664,
1.1777842044830322,
-0.2760532796382904,
0.5976787805557251,
-0.804304301738739,
-1.201286792755127,
0.7738007307052612,
-0.6209983825683594,
0.3482614755630493,
... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
[EX Q]: ואמנם, עבור לא מעט אנשים, מסע "" העלייה לרגל "" של Nand2Tetris הפך לחוויה מעצבת חיים.
[EX A]: Nie tylko dla niego praca z NAND2Tetris była życiowym przełomem.
[EX Q]: ולבסוף, לאנשים הסינים יש את הזמן, הממון והטכנולוג... | I nie jest to ugruntowane na teologii czy filozofii, a jest to w nauce o umyśle, poprzez wszystkie te sfery badań, od neuronauki po nauki poznawcze, ekonomiści behawioralni, psychologowie, socjologia, dokonujemy rewolucji świadomości.
| 6 | NIv2 | task1112_ted_translation_he_pl | fs_opt | [
-0.8667228817939758,
0.11661495268344879,
0.20593833923339844,
-0.17883062362670898,
-0.6994947195053101,
-0.479011595249176,
0.7680128216743469,
-0.1831207573413849,
0.14270350337028503,
-0.2476106733083725,
-0.2693363130092621,
-0.10055003315210342,
-0.2731509804725647,
0.149636983871459... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
[EX Q]: זה הגדיל את היכולות שלהם.
[EX A]: It increased their capabilities.
[EX Q]: אנשים הזכירו הוספיס, אבל אני לא הקשבתי.
[EX A]: People did mention hospice, but I wouldn't listen.
[EX Q]: כאן ההצלחה היא מערכתית.
[EX A]: | This is where success is systemic.
| 6 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
-0.3639422059059143,
0.6698955297470093,
0.03963647410273552,
-0.24944406747817993,
-0.3358454406261444,
-0.5763576626777649,
0.7809538245201111,
-0.003908732905983925,
0.8740114569664001,
-0.8500875234603882,
-0.6746606826782227,
0.03715435415506363,
-0.6083366870880127,
0.118020907044410... |
Detailed Instructions: Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
See one example below:
Problem: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Solution: Natalo ng Ital... | Si Jim Ruane, ang alkalde ng San Bruno, ay sinusuportahan ang mga mamamayan sa kanilang kahilingan sa PG&E na alisin ang linya ng tubo mula sa Glenview. | 4 | NIv2 | task1118_alt_ja_fil_translation | fs_opt | [
-0.28461724519729614,
0.5716766119003296,
-0.48387303948402405,
0.12776589393615723,
0.03467497229576111,
-0.5456795692443848,
0.5179393887519836,
0.6783113479614258,
-0.03820965811610222,
-0.2565576732158661,
-1.1002459526062012,
0.8330510258674622,
-0.49610480666160583,
0.890346169471740... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT
| 3 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.45147770643234253,
0.6270205974578857,
-0.5071829557418823,
0.3397846519947052,
-0.04796067625284195,
-0.2627533972263336,
0.003614857792854309,
0.3303998112678528,
-0.08046242594718933,
-0.038070328533649445,
-0.8327534794807434,
-0.24425697326660156,
-0.70084547996521,
-0.1787913143634... |
Read the passage and find the corresponding person for the given pronoun. The word between ** ** is the target pronoun.
Q: Impressed by her beauty, her warrior skills, and the fact that she was able to locate him, she is promoted to a position similar to that later held by her half-sister, Talia. As a right hand associ... | Nyssa | 4 | NIv2 | task891_gap_coreference_resolution | zs_opt | [
0.4059436023235321,
1.5588512420654297,
0.13131368160247803,
-0.2064594179391861,
-0.7542518377304077,
-0.6071001291275024,
0.7797549366950989,
0.2726965546607971,
1.0761598348617554,
0.8387264013290405,
-0.12588760256767273,
0.4258430004119873,
-0.7276653051376343,
0.38365602493286133,
... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes
| 3 | NIv2 | task1196_atomic_classification_oeffect | fs_opt | [
0.9982882738113403,
0.11494186520576477,
0.09680217504501343,
-0.002726525766775012,
-0.11665654182434082,
-1.1593067646026611,
1.1271438598632812,
0.7364993691444397,
-1.1870005130767822,
-0.1901206374168396,
-0.52996826171875,
-0.18018122017383575,
-0.5735580325126648,
0.0100027453154325... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Ex Input:
ك.أ.: دقيقة واحدة. (ضحك) ل. ت: أنت تعرف ، ما أعجبني حقا عن العمال هو كم انهم لديهم دوافع ذاتية ، دافعين أنفسهم ، وسيعين الحيلة ، والشيء الذي أبهرني ، ما يريدون أكثر من غيره هو التعليم ، والتعلم ، لأن معظمهم يأتي من... | Law enforcement is supposed to identify victims and prosecute traffickers.
| 1 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
-0.5093629360198975,
0.34038451313972473,
-0.1020810604095459,
-0.4854268431663513,
0.03235216438770294,
-0.059471819549798965,
-0.0728505551815033,
1.032202959060669,
0.12750545144081116,
0.33674392104148865,
-0.06895028799772263,
-0.14676542580127716,
-0.4587607979774475,
-0.623567700386... |
TASK DEFINITION: You are given a statement written in Telugu. 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 .
PROBLEM: Statement: గ్రామంలో ప్రభుత్వ ప్రాథమిక పాఠశాలలు ఐదు, ప్రభుత్వ ప్రాథమికోన్నత పాఠశాల ఒకటి , ... | కాకరపర్రు
| 8 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | fs_opt | [
0.7318381071090698,
0.5447841286659241,
0.3663049340248108,
-0.12166963517665863,
0.16534015536308289,
-0.4124230146408081,
0.052426327019929886,
1.307661533355713,
-0.11951930075883865,
-0.1863265037536621,
-0.07241836190223694,
0.02026274986565113,
-0.1622314155101776,
-0.523959159851074... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, wi... | The child is playing with the sink. | 1 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
-0.34732648730278015,
0.827225923538208,
-0.01640569046139717,
-0.3269883990287781,
0.37742137908935547,
-0.34983041882514954,
-0.039282504469156265,
0.4289960265159607,
0.20387017726898193,
0.05414441227912903,
-0.03362765163183212,
-0.5827015042304993,
-0.4685722589492798,
-0.31980240345... |
Detailed Instructions: In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Q: Gujarati: એક ગ્રે ટાયર્ડ બિલ્ડીંગ સેંકડો બારીઓ અને ટોચની નજીક ઘ... | No | 9 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-0.6836991310119629,
0.8160226345062256,
0.10923679172992706,
0.34429389238357544,
0.10066190361976624,
-1.3123350143432617,
-0.09616051614284515,
0.27184832096099854,
0.13187849521636963,
0.20977920293807983,
-0.19680190086364746,
0.09104777127504349,
-1.0310664176940918,
0.18503886461257... |
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sente... | Output: 1, 4, 11, 12, 15, 16, 17.
| 2 | NIv2 | task049_multirc_questions_needed_to_answer | fs_opt | [
0.3003624975681305,
0.4511478543281555,
-0.20564962923526764,
0.13428667187690735,
0.9603039026260376,
-1.097365379333496,
0.5803930759429932,
0.8900619149208069,
-0.299622118473053,
0.20788516104221344,
-0.4294075667858124,
0.9647307395935059,
-1.1805088520050049,
-0.368872731924057,
-1... |
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 should be in se... | No
| 5 | NIv2 | task426_hindienglish_corpora_hi-en_classification | fs_opt | [
-0.5252100229263306,
0.3524869680404663,
0.43342703580856323,
0.623643159866333,
-0.3718031644821167,
-1.0891759395599365,
0.27083495259284973,
0.7480671405792236,
-0.376326322555542,
-0.17931291460990906,
-0.6144058108329773,
0.492306649684906,
-0.7369827628135681,
0.1916055977344513,
0... |
Instructions: Given an entity as input, output another entity which is part of the input entity. These are entities of meronym. In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., output entity) is in a part-of relationship... | hook | 3 | NIv2 | task471_haspart_answer_generation | zs_opt | [
-1.1087127923965454,
0.7356087565422058,
0.2277243435382843,
-0.053557492792606354,
-0.4850116968154907,
0.19054526090621948,
-0.1292937695980072,
0.2507108151912689,
0.5476646423339844,
-0.7253998517990112,
-0.9519290924072266,
-0.02466736175119877,
-0.10307315737009048,
0.050611257553100... |
In this task, given a sentence in the Vietnamese language, your task is to convert it into the English language.
--------
Question: Đội Broncos, tuy nhiên, đã thắng với tỉ số 19-8 tại sân nhà; và Blount cùng với hàng phòng thủ của đội Oregons thất bại trong việc giữ bóng ở 37 phút đầu.
Answer: The Broncos, however, wo... | The next A1GP race takes place on November 12 in Beijing.
| 7 | NIv2 | task536_alt_translation_vi_en | fs_opt | [
-0.07099135220050812,
0.17465627193450928,
-0.04338736832141876,
-0.14806444942951202,
-0.3833004832267761,
-1.2406092882156372,
0.1932460069656372,
-0.23777350783348083,
0.18269187211990356,
-0.32950353622436523,
-0.6303169131278992,
0.6150261163711548,
-0.10531195998191833,
-0.3157954216... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
JkbloNUq, nYblowj
Solution: ... | d, f, g, h, i, p, q, r, t, u, v, w, y | 2 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.5561688542366028,
1.0806968212127686,
-0.42884188890457153,
-0.8504874110221863,
0.15727326273918152,
-0.2838055491447449,
0.9895301461219788,
0.09889310598373413,
-0.15067322552204132,
0.4982311427593231,
0.08570962399244308,
-0.19138288497924805,
-0.11995317041873932,
-0.2080070376396... |
Detailed Instructions: A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
Problem:35 ਗੀਗਾਵਾਟ
Solution: | 35 ஜிகாவாட் | 8 | NIv2 | task1015_pib_translation_punjabi_tamil | zs_opt | [
0.13713650405406952,
0.6473150253295898,
0.366610586643219,
0.03980092704296112,
-0.2298603653907776,
-0.8088598251342773,
0.6736158728599548,
-0.036301158368587494,
-0.2577436566352844,
-0.01957564800977707,
-0.5410882234573364,
-0.3780062794685364,
-0.39167749881744385,
-0.04469417035579... |
Instructions: In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Input: Article: Many children first learn the valu... | Parents give their children allowances in order to _ . | 3 | NIv2 | task649_race_blank_question_generation | zs_opt | [
0.744797945022583,
0.3839085102081299,
-0.6851284503936768,
-0.012028049677610397,
0.4590495824813843,
-0.40637069940567017,
1.3297181129455566,
1.2195568084716797,
0.15709392726421356,
-0.3258737325668335,
0.4242600202560425,
0.5326071381568909,
-0.8328111171722412,
-0.0045387716963887215... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Ex Input:
Hello. Vojvodina i... | assistant
| 1 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
0.13593243062496185,
0.5373398065567017,
-0.4495142996311188,
-0.5586878061294556,
-0.3230922222137451,
0.19531747698783875,
1.3387150764465332,
-0.8771170377731323,
0.6948556303977966,
-0.36277005076408386,
0.022563714534044266,
0.0415463000535965,
-0.7335912585258484,
0.01396530214697122... |
instruction:
In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
question:
The flavor combination of the ketchup chips was very good. However, the coating was appl... | product is great price is insane
| 9 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
0.39462849497795105,
0.18965044617652893,
-0.13274015486240387,
-0.903619647026062,
-0.1388694792985916,
-0.8534702062606812,
0.4484707713127136,
0.35653966665267944,
-0.5701408386230469,
-0.10163407772779465,
0.009565114974975586,
-0.13811278343200684,
-1.1652138233184814,
-0.399274170398... |
Given the task definition and input, reply with output. 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 con... | arithmetic | 5 | NIv2 | task834_mathdataset_classification | zs_opt | [
-0.11675706505775452,
0.3606521189212799,
0.103700190782547,
-0.024099748581647873,
0.10621152818202972,
0.37927553057670593,
0.18740010261535645,
0.33168691396713257,
0.5203991532325745,
-0.29256609082221985,
-0.9693845510482788,
0.20148132741451263,
-0.058688148856163025,
0.0767138153314... |
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
[EX Q]: Context: Patients affected by chronic lymphocytic leukemia (CLL) have an increased risk of developing a second cancer. There is not a defin... | Collectively, these data underscore the role played by CFTR in regulating the intestinal inflammatory responses. Such findings lend support to the theory that CFTR exerts functions that may go beyond its role as a chloride channel whereby its disruption may prevent cells to optimally respond to exogenous or endogenous ... | 6 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
-0.011842546053230762,
0.32772427797317505,
-0.5886871218681335,
-0.1814880222082138,
0.17724528908729553,
-0.5156834125518799,
0.2963747978210449,
1.2719125747680664,
0.03300262987613678,
0.0199233777821064,
-0.30928030610084534,
0.41557496786117554,
-0.4497099220752716,
0.348216801881790... |
Teacher: In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.
Teacher: No... | Answerable | 2 | NIv2 | task290_tellmewhy_question_answerability | fs_opt | [
0.0977722704410553,
-0.2262745201587677,
0.44736605882644653,
-0.02489512227475643,
0.2839529514312744,
-0.6012881994247437,
-0.09140094369649887,
0.2850309908390045,
0.4777209162712097,
0.5658389329910278,
-0.2025880664587021,
-0.7191494703292847,
0.046628549695014954,
-0.4268630146980285... |
Part 1. Definition
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.
Part 2. Example
Comment: President lied under oath ... | Non-sexual-explicit | 7 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.7149611711502075,
0.31785717606544495,
0.14486759901046753,
-0.24437758326530457,
0.11300094425678253,
-0.2781262993812561,
0.16017132997512817,
0.6595456600189209,
-0.03338242694735527,
0.38934943079948425,
0.7115467190742493,
0.016600776463747025,
-0.3108866512775421,
-0.8681879639625... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
E dato che abbiamo questi bei diagrammi, possiamo misurare le cose.
Output: | Y, porque los tenemos, podemos medir cosas. | 1 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.18566739559173584,
0.6609234809875488,
-0.15631069242954254,
-0.10634072124958038,
0.18959814310073853,
-0.25196006894111633,
-0.0018611247651278973,
1.5667753219604492,
0.15310201048851013,
0.012826856225728989,
-0.7304542064666748,
0.40597081184387207,
0.11684621125459671,
0.098726123... |
Detailed Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of... | No | 8 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
-0.2972114682197571,
0.12291748076677322,
0.6487643122673035,
-0.42498815059661865,
-0.3332361578941345,
-1.2619837522506714,
0.6717425584793091,
0.14597667753696442,
-0.46904098987579346,
-0.4663470387458801,
0.14523151516914368,
-0.5223140716552734,
-0.7984284162521362,
0.017632957547903... |
Given the task definition, example input & output, solve the new input case.
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 & Interne... | 3 | 1 | NIv2 | task1593_yahoo_answers_topics_classification | fs_opt | [
-0.3592965006828308,
0.8608947992324829,
-0.4279613196849823,
0.4295629858970642,
0.5607219338417053,
0.662849485874176,
-0.3081999719142914,
0.9869765043258667,
-0.4727630019187927,
0.48023170232772827,
0.261156290769577,
0.04170023277401924,
-0.007369760423898697,
-0.09293031692504883,
... |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the pass... | b | 0 | NIv2 | task233_iirc_link_exists_classification | zs_opt | [
0.39832526445388794,
0.5042897462844849,
-0.09442861378192902,
-0.37160173058509827,
0.4431232511997223,
-0.21829411387443542,
0.038482535630464554,
0.26006418466567993,
0.6836216449737549,
0.16452041268348694,
-0.11911609768867493,
0.6299601793289185,
-1.0433602333068848,
-0.0610102154314... |
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. Wh... | What 's a possible reason the writer hates high jump ?
| 0 | NIv2 | task023_cosmosqa_question_generation | fs_opt | [
0.5679636001586914,
0.273781418800354,
-0.666437029838562,
0.5549429655075073,
-0.13910123705863953,
-0.6155675053596497,
0.07334987819194794,
0.7245494723320007,
-0.1650254726409912,
0.3758586049079895,
-0.5131393074989319,
0.36000335216522217,
-0.25559553503990173,
0.2914707660675049,
... |
In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special tokens that can ... | _____ is a restaurant with affordable prices, offering _____ food in the area of riverside
****
| 4 | NIv2 | task1407_dart_question_generation | fs_opt | [
-0.4146738052368164,
0.46325281262397766,
-0.4400453269481659,
-0.7156797647476196,
0.29994165897369385,
-0.7269856929779053,
0.6225706338882446,
0.4554201364517212,
-0.12778189778327942,
-0.13041454553604126,
-0.08651641011238098,
0.5665895938873291,
-0.3074929714202881,
-0.00103876809589... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
KZXNoofVWEvhYKDoJXTjjJNGp, CeOfEvhYKDoJXNdGrSp
Output: | EvhYKDoJX | 1 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | zs_opt | [
0.14259713888168335,
0.9367015361785889,
-0.027795806527137756,
-0.11759506165981293,
-0.15723910927772522,
-0.06421656906604767,
0.27549687027931213,
-0.5563396215438843,
-0.3892609477043152,
-0.31902065873146057,
-0.33848315477371216,
-1.1230342388153076,
0.024249780923128128,
0.06805416... |
In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Example Input: Sentence 1: Bill's buddy Marty invited him to a sleep over. Sentence 2: Bill and Mar... | b
| 3 | NIv2 | task220_rocstories_title_classification | fs_opt | [
0.25764113664627075,
-0.2164907455444336,
0.2168484926223755,
0.12343595921993256,
0.3715323507785797,
-0.4218198359012604,
0.7709009051322937,
1.031148910522461,
-0.22324876487255096,
0.2595437169075012,
-0.6733345985412598,
-0.5468333959579468,
0.07834037393331528,
-0.3834834396839142,
... |
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 'ADJ'... | Solution: PROPN | 5 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.6978160738945007,
0.4422152042388916,
0.11098916083574295,
-0.022441210225224495,
0.17097406089305878,
-0.7905014157295227,
0.7626132965087891,
0.9741708040237427,
-0.7669088244438171,
-0.30376243591308594,
-0.2864311635494232,
0.09362421184778214,
-0.6100903749465942,
0.4351323544979095... |
You will be given a definition of a task first, then some input of the task.
Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
The site... | Demographic | 1 | NIv2 | task684_online_privacy_policy_text_information_type_generation | zs_opt | [
-1.0383304357528687,
-0.146803617477417,
-0.36084145307540894,
0.29971933364868164,
-0.2754290699958801,
-0.8002433180809021,
0.13816383481025696,
0.34868621826171875,
0.13956686854362488,
0.7638392448425293,
0.24047940969467163,
-0.010062459856271744,
-0.3771110773086548,
-0.8484092950820... |
instruction:
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
question:
Begi... | 2
| 9 | NIv2 | task069_abductivenli_classification | fs_opt | [
-0.24762050807476044,
-0.09410246461629868,
-0.2901040315628052,
0.45138049125671387,
-0.2932291626930237,
-0.337414026260376,
0.24119623005390167,
0.7318873405456543,
-0.1669139564037323,
0.011720777489244938,
-0.7503101825714111,
-0.07697193324565887,
-0.2992371618747711,
-0.503916561603... |
Instructions: Two analogies that relate actions to the tools used to perform the action is given in the form "A : B. C : ?". "A : B" relates action A to tool B. Your task is to replace the question mark (?) with the appropriate tool for the given action C, following the "A : B" relation.
Input: iron : iron. eat : ?
Out... | fork | 3 | NIv2 | task1156_bard_analogical_reasoning_tools | zs_opt | [
0.30332642793655396,
1.2692159414291382,
-0.8479076623916626,
0.33925408124923706,
-0.6072757244110107,
-0.2535474896430969,
0.8080413341522217,
0.7283844947814941,
0.1111396998167038,
-0.23815587162971497,
0.0779930055141449,
-0.3031455874443054,
-0.12184953689575195,
-0.05867063626646995... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
One example is below.
Q: Perché? Perché quel profitto fa sì che qualunque soluzione da noi creata sia infinitamente riproducibile su scala.
A: Why? Because that profit allows whatever solution we've created to be infinitely... | And for that, the audience — the lovely, beautiful audience — would live happily ever after. | 9 | NIv2 | task1247_ted_translation_it_en | fs_opt | [
-0.6941861510276794,
0.8658753633499146,
0.6335487365722656,
-0.21658843755722046,
0.08132745325565338,
-0.7865623831748962,
-0.027448996901512146,
0.3921282887458801,
0.37742775678634644,
0.07493691146373749,
-0.0715005099773407,
0.7330436706542969,
-0.7585562467575073,
0.2615589499473572... |
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... | Output: Yes
| 2 | NIv2 | task1202_atomic_classification_xneed | fs_opt | [
0.37803322076797485,
0.22545473277568817,
0.18162935972213745,
-0.24099761247634888,
-0.48225730657577515,
-0.9153562784194946,
1.3684016466140747,
0.7953734993934631,
-0.3594796657562256,
-0.3079514503479004,
-0.6420022249221802,
-0.005541350692510605,
-1.0191502571105957,
0.2215342223644... |
You will be given a definition of a task first, then some input of the task.
A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
ଜାମ୍ମୁ କାଶ୍ମୀର ରାଜ୍ୟପାଳ, ବିଭିନ୍ନ ରାଜ୍ୟର ମୁଖ୍ୟମନ୍ତ୍ରୀ, ଆଣ୍ଡାମାନ ନିକୋବର ଦ୍ୱୀପ... | તેમણે સ્વચ્છ ભારત અભિયાન અને પ્રધાનમંત્રી આવાસ યોજનામાં કેન્દ્ર અને રાજ્ય સરકારો લક્ષ્યાંકોને સંયુક્તપણે પૂર્ણ કરી શકશે. | 1 | NIv2 | task1078_pib_translation_oriya_gujarati | zs_opt | [
-0.15091022849082947,
0.34433799982070923,
-0.4701303243637085,
-0.5655795335769653,
-0.07620823383331299,
-0.7702272534370422,
0.6204794049263,
-0.4779275357723236,
-0.5912885069847107,
0.06881494075059891,
0.109461709856987,
-0.030367838218808174,
-0.5182766914367676,
0.05053142458200455... |
You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating question.
Context : Pa... | Which award did Franz-Joseph Schulze get?
| 0 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | fs_opt | [
0.07424283027648926,
0.7230895757675171,
-0.27658411860466003,
-0.21856097877025604,
0.07601380348205566,
-0.07591762393712997,
1.2379893064498901,
1.2174392938613892,
0.5806170701980591,
0.008272937498986721,
-0.3872670531272888,
0.3709419369697571,
-1.7825208902359009,
0.3221031427383423... |
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sente... | 6, 7, 8, 9, 11. | 4 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
0.7049970626831055,
0.8858540058135986,
-0.6817026138305664,
-0.7130791544914246,
0.25102752447128296,
-0.7329469323158264,
0.5277908444404602,
1.0418574810028076,
0.24372977018356323,
0.16771182417869568,
-0.40322262048721313,
0.5635459423065186,
-1.1002724170684814,
-0.040707457810640335... |
You will be given a definition of a task first, then some input of the task.
You need to read the given passage and construct a question about the information present in the passage. The question should be answerable from the passage. Most importantly, only those questions are allowed whose answers cannot be determined... | Describe the box? | 1 | NIv2 | task048_multirc_question_generation | zs_opt | [
0.669784665107727,
0.7645232677459717,
-0.2924165725708008,
-0.008542732335627079,
0.20361590385437012,
-1.0020525455474854,
0.8873504400253296,
0.7405571937561035,
0.7011233568191528,
0.5237525105476379,
-0.4214508533477783,
0.4645753502845764,
-0.8282636404037476,
-0.022867795079946518,
... |
Teacher:In this task you are given a disfluent question, a proper question and a context. A disfluent question is a question that has some interruptions in it while framing and a proper question is the correct form of the question without any disfluency. Classify whether the question is answerable or not based on the g... | Yes | 6 | NIv2 | task1624_disfl_qa_question_yesno_classification | zs_opt | [
0.22766698896884918,
-0.4140284061431885,
-0.47826722264289856,
-0.08766178041696548,
-0.19820688664913177,
-1.2419414520263672,
0.5594903826713562,
0.7957776784896851,
-0.4116983711719513,
0.03701726347208023,
-0.42755645513534546,
0.13558484613895416,
-1.2799581289291382,
0.8082649707794... |
Given the task definition and input, reply with output. In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Rev... | True | 5 | NIv2 | task1309_amazonreview_summary_classification | zs_opt | [
-0.5088950991630554,
0.576473593711853,
0.05818839371204376,
-0.35911014676094055,
-0.22298948466777802,
-0.19722087681293488,
0.24762021005153656,
0.7643522620201111,
-0.8099119663238525,
0.058773815631866455,
-0.7618607878684998,
0.3506981134414673,
-0.5624542236328125,
0.141151338815689... |
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 justificati... | The Uniform Crime Reports | 6 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
0.4343922734260559,
0.5085521936416626,
-0.32114794850349426,
0.3107774257659912,
0.22162190079689026,
-0.531626284122467,
0.065849170088768,
0.8464360237121582,
-0.04497227072715759,
-0.24708907306194305,
-0.3033495545387268,
-0.014194597490131855,
-0.6664663553237915,
-0.1837232261896133... |
Teacher:In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be re... | [809, 577, 229, 673, 601] | 6 | NIv2 | task366_synthetic_return_primes | zs_opt | [
-0.1393727958202362,
-0.3106573224067688,
0.062027543783187866,
-0.68058180809021,
0.16751700639724731,
-0.15694884955883026,
0.11369788646697998,
0.8478283286094666,
-0.261885404586792,
0.2726801633834839,
-0.9212798476219177,
-0.7743496894836426,
-0.5827536582946777,
-0.5986772775650024,... |
Instructions: A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
Input: - বিশ্বের তিনটি বৃহত্তম অর্থনীতির সঙ্গে সংযুক্ত হওয়ার লক্ষ্যে অগ্রসর হব আমরা;
Output: | म्हणून मी सर्व खासदारांना आवाहन करतो की त्यांनी 'एक राष्ट्र - एकमताने निवडणूक' च्या या विकास प्रस्तावाचा गांभीर्याने विचार करावा. | 3 | NIv2 | task1061_pib_translation_bengali_marathi | zs_opt | [
-0.02534603700041771,
1.1328258514404297,
-0.16323012113571167,
0.2621157169342041,
-0.8486098647117615,
0.2314217984676361,
-0.2429930716753006,
-0.002184840850532055,
0.07013007998466492,
-0.3320341110229492,
-1.121663212776184,
0.5001415014266968,
-0.23107005655765533,
-0.08421940356492... |
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Q: Event:PersonX gives PersonY some water. Intent: 1) to f... | satisfied | 4 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.2417883276939392,
0.5578560829162598,
0.056651003658771515,
-0.6313040256500244,
-0.6535847187042236,
-1.0016264915466309,
1.0991394519805908,
0.23306450247764587,
0.4146552085876465,
-0.4104643166065216,
0.6491934061050415,
-0.28155946731567383,
-0.8603723049163818,
0.26239562034606934,... |
TASK DEFINITION: In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or un... | Unidentifiable
| 8 | NIv2 | task350_winomt_classification_gender_identifiability_pro | fs_opt | [
-0.4772900342941284,
0.5409424304962158,
0.054843440651893616,
-0.6299611926078796,
0.20352479815483093,
0.26116684079170227,
-0.0460435189306736,
0.6543866395950317,
0.8085536956787109,
0.10851733386516571,
-0.3955754041671753,
0.39045649766921997,
-0.2926297187805176,
-0.1470435112714767... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options th... | ac | 1 | NIv2 | task221_rocstories_two_choice_classification | zs_opt | [
-0.17455190420150757,
0.4605557918548584,
-0.008802833035588264,
-0.0003837244585156441,
0.08736841380596161,
-0.3363630175590515,
0.17706552147865295,
1.0815023183822632,
-0.2960708737373352,
0.34548282623291016,
-0.4356681704521179,
-0.24537399411201477,
-0.22780117392539978,
-0.46079444... |
Instructions: This task is about translating a given Spanish language sentence to English.
Input: El radio del disco es f de y.
Output: | The radius of the disk is f of y. | 3 | NIv2 | task1692_qed_amara_translation | zs_opt | [
0.1939300298690796,
0.40010160207748413,
0.185341015458107,
0.0016176202334463596,
0.5027705430984497,
0.023283276706933975,
0.11890068650245667,
0.6035841703414917,
0.8703643083572388,
-0.22876682877540588,
0.005792531184852123,
0.7364926338195801,
-0.9275745749473572,
-0.3725910186767578... |
Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
[Q]: Question: Is fractional urinary excretion of IgG the most powerful pr... | no
| 5 | NIv2 | task846_pubmedqa_classification | fs_opt | [
0.19625172019004822,
-0.07520052790641785,
-0.07240261137485504,
0.49979519844055176,
-0.15246357023715973,
-0.3449614942073822,
0.4917219281196594,
0.5486878156661987,
0.3411163091659546,
-0.047053173184394836,
-1.0971341133117676,
0.07634232938289642,
-0.739643931388855,
0.35761556029319... |
Given the task definition, example input & output, solve the new input case.
You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Example: Sentence1:i need a place to dine in the center thats expensive Sentence2: I have several options for you... | Answer: (A) User | 1 | NIv2 | task638_multi_woz_classification | fs_opt | [
0.36624181270599365,
0.30619725584983826,
-0.702252984046936,
0.06994976848363876,
0.2586129903793335,
-0.4516980051994324,
-0.32341575622558594,
0.7025010585784912,
-0.2816941440105438,
-0.1268916130065918,
0.06644213199615479,
-0.15143322944641113,
-0.157745361328125,
-0.0409199222922325... |
Q: In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be return... | [-535, -99] | 7 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-0.8597069978713989,
0.050227079540491104,
-0.46921685338020325,
-0.4575952887535095,
-0.273948609828949,
0.014536889269948006,
0.7224136590957642,
0.11403146386146545,
-0.23759174346923828,
0.14070475101470947,
-0.7498814463615417,
-0.34473472833633423,
-0.4219439625740051,
-0.13944600522... |
Q: Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Somali sentence: 13:16 Oo waxaan ka dhigi doonaa farcankaaga sida ciidda dhulka. Haddii nin waa inaad tirsataan ciidda dhulka miyuusan karin, ayuu u sidoo tirin farcankaaga awood u yeel... | 13:16 And I will make your offspring like the dust of the earth . If any man is able to number the dust of the earth, he will be able to number your offspring as well . | 7 | NIv2 | task450_opus_paracrawl_so_en_translation | zs_opt | [
-0.3866260349750519,
1.0645753145217896,
-0.013303226791322231,
-0.8368484973907471,
-0.6408427357673645,
-0.6828120946884155,
0.8280563354492188,
0.6918975114822388,
0.47676634788513184,
-0.37068647146224976,
-0.19725531339645386,
0.809947669506073,
-1.2907991409301758,
0.4261695742607116... |
Teacher:A text is given in Tamil. Translate it from the Tamil language to the Urdu language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: وزیر اعظم کرنال میں پنڈت دین دیال اپادھیائے یونیورسٹی آف ہیلتھ سائنسیز کی عمارت کا سنگ بنیادر... | கர்னலில் சுகாதார அறிவியலுக்கான பண்டிட் தீன்தயாள் உபாத்யாயா பல்கலைக்கழகத்திற்கு பிரதமர் அடிக்கல் நாட்டுவார். | 6 | NIv2 | task1036_pib_translation_urdu_tamil | zs_opt | [
-0.23101140558719635,
0.9019184112548828,
0.20973855257034302,
-1.111342430114746,
-0.3402811288833618,
-0.4151078462600708,
0.33443576097488403,
-0.043155718594789505,
-0.4113796651363373,
0.06621624529361725,
0.3416840732097626,
-0.050745394080877304,
-0.577345609664917,
0.09753533452749... |
Q: 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.
lSdARKXtWo, KHqARKnjA
A: | a, d, k, l, o, r, s, t, w, x | 7 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | zs_opt | [
-0.057748839259147644,
1.7527236938476562,
-0.05548097565770149,
-0.8222730159759521,
-0.4003967046737671,
0.5927138328552246,
0.7545762062072754,
-0.1733902096748352,
-0.01842188835144043,
-0.44200772047042847,
-0.3481288552284241,
-0.23982563614845276,
-0.1146458089351654,
0.236834391951... |
In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
One example is below.
Q: A herd of sheep standing together grazing in a pasture.
A: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે.
Rationale: The translated sentence also talks about... | એક લાલ ટ્રાફિક લાઇટ પર રાહ જોઈ રહેલા ઑટો પરના ડ્રાઇવરોની પાછળનું દૃશ્ય મિરર | 9 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | fs_opt | [
-0.42514532804489136,
0.31723344326019287,
0.36006230115890503,
-0.10748402774333954,
0.006594938226044178,
-0.697124183177948,
-0.1705685555934906,
0.2241387665271759,
0.027067897841334343,
-0.34811338782310486,
-0.5963956117630005,
0.13562093675136566,
-0.3458968997001648,
-0.01086230110... |
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
[EX Q]: [-285, -888, 341, -373, 732, -113, 776, 764]
[EX A]: [-280, -890, 340, -370, 730, -110, 780, 760]
[EX Q]: [774, 443, -136, 788]
[EX ... | [340, 780, 840, -920, -120, -920, 0, 820, 960, -650, -60, 930, 90, -620, -100]
| 6 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-1.481199026107788,
0.456821471452713,
-0.049391403794288635,
-0.31088146567344666,
-0.4144863486289978,
0.07452282309532166,
0.34699535369873047,
-0.28388676047325134,
-0.47161978483200073,
0.022460490465164185,
-0.7452036738395691,
0.13377125561237335,
-0.6368439197540283,
0.184720456600... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Input: Consider Input: Ludzie żyją jak co dzień i zachowują się tak, jak tu widzimy.
Output: يعيشون حياتهم فقط — ويتعاملون هكذا في نهاية المطاف.
Input: Consider Input: Cóż, w mojej głowie panował wielki zgiełk, dopóki nie ... | Output: واحد من أول الضحايا لهذه الأوقات العصيبة كما أعتقد ، هو الدعم الحكومي بجميع أنواعه بالطبع ، في الواجهة الأولى الآن يقع الدعم الحكومي الموجه نحو العلم و بالذات العلم المدفوع بالفضول ، و الرغبة بالإستكشاف
| 2 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
-0.13123401999473572,
0.785075306892395,
-0.1293409913778305,
-0.7559916973114014,
-0.13869714736938477,
-0.553101658821106,
1.4876136779785156,
-0.3401489853858948,
0.42066627740859985,
-0.01644149422645569,
-0.4370197355747223,
0.35124659538269043,
-0.4821200370788574,
-0.295401453971862... |
Q: In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exi... | Nike | 7 | NIv2 | task303_record_incorrect_answer_generation | zs_opt | [
0.5347169637680054,
0.42521852254867554,
-0.37418538331985474,
0.6774387359619141,
0.045794449746608734,
-0.5158941745758057,
0.01744759827852249,
1.197562575340271,
0.09647414088249207,
-0.23086339235305786,
0.31168413162231445,
1.0868418216705322,
-1.063791036605835,
0.3161424696445465,
... |
instruction:
In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences... | N
| 9 | NIv2 | task534_farstail_entailment | fs_opt | [
-0.2115498185157776,
0.28977373242378235,
-0.13514763116836548,
-0.033846065402030945,
-0.16754207015037537,
-1.0617483854293823,
0.4931333661079407,
0.7302380204200745,
0.4778894782066345,
0.24802425503730774,
-0.35430169105529785,
-0.07211723178625107,
-0.12851521372795105,
-0.0250494722... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Context_1 : Pow... | What nationality is the transgender singer who performed the pop and RB album Infinity? | 1 | NIv2 | task191_hotpotqa_question_generation | zs_opt | [
0.48790276050567627,
0.6476373672485352,
-0.6669793128967285,
0.270383358001709,
0.3973410725593567,
-0.041503626853227615,
1.0506178140640259,
0.5125228762626648,
-0.7042355537414551,
0.14401136338710785,
0.028699414804577827,
0.41266870498657227,
-0.46354421973228455,
0.29404523968696594... |
Q: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
(CNN) The former leader of Catalonia urge... | (B) | 7 | NIv2 | task302_record_classification | zs_opt | [
1.0282955169677734,
0.7299434542655945,
-0.7851039171218872,
0.04373683035373688,
0.24551178514957428,
-0.23858974874019623,
0.6715078353881836,
0.520861029624939,
-0.2568843960762024,
0.15027302503585815,
-0.12048795819282532,
1.1639704704284668,
-0.29272156953811646,
0.12885792553424835,... |
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
[Q]: Question1: What are your New Year resolutions for the upcoming year 2017?, Question2: What's your New Year resolutions for 2017 and what will you do to accomplish your goal?
[A... | Yes
| 5 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
-0.7523341774940491,
0.6254609823226929,
0.27210158109664917,
0.3092908263206482,
0.30617716908454895,
-0.5497378706932068,
0.40300390124320984,
0.4066570997238159,
-0.2586650550365448,
0.1917620301246643,
0.2619190216064453,
-0.47002243995666504,
-0.3648838400840759,
0.23287330567836761,
... |
Definition: In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index at 1, so the... | [2, -6, 17, -12, -18, 12, 7, 2, -19, 3] | 2 | NIv2 | task096_conala_list_index_subtraction | zs_opt | [
0.36186718940734863,
0.10591268539428711,
-0.8382242918014526,
-0.027433378621935844,
0.24727699160575867,
-0.07827872037887573,
0.9127882719039917,
0.3273313343524933,
0.23550212383270264,
0.12863531708717346,
-0.6944133043289185,
-0.27070605754852295,
-0.2467375099658966,
0.1246386766433... |
Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using words (e.g., sug... | yes
| 5 | NIv2 | task115_help_advice_classification | fs_opt | [
-0.06452631950378418,
1.021667242050171,
0.3760751485824585,
-0.2879256308078766,
0.2283177375793457,
-1.3034188747406006,
1.097825527191162,
0.27983227372169495,
0.2712530195713043,
0.19591552019119263,
-0.23855933547019958,
-0.4568793475627899,
-0.507776141166687,
-0.19839459657669067,
... |
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're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if t... | C | 0 | NIv2 | task190_snli_classification | fs_opt | [
-0.4632159471511841,
0.5448262691497803,
0.30055341124534607,
-0.4881893992424011,
0.37688520550727844,
-0.47066962718963623,
-0.04919171333312988,
0.6147191524505615,
0.5448869466781616,
-0.05286137014627457,
-0.26913753151893616,
0.018086854368448257,
-0.5064388513565063,
0.1776578575372... |
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn th... | What does a fire need in order to burn?
| 3 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.7259496450424194,
0.7758281230926514,
-0.13913267850875854,
0.12735170125961304,
-0.456049382686615,
-1.1591086387634277,
0.8155986070632935,
0.675530195236206,
-0.17975583672523499,
-0.2652738690376282,
-1.2875820398330688,
0.15020617842674255,
-0.6733992695808411,
-0.1871747374534607,
... |
Detailed Instructions: Generate a topic word for the given sentence. A topic word is usually the name of a person, place, animal, concept or object the sentence is focusing on.
Q: the charleville muskets were .69 caliber french smoothbore flintlock muskets used in the 18th and 19th centuries.
A: | charleville musket | 9 | NIv2 | task645_summarization | zs_opt | [
0.6967544555664062,
0.9171203970909119,
-0.3286066949367523,
-0.2368144392967224,
0.4247095584869385,
-0.9516570568084717,
0.27141091227531433,
0.4077376127243042,
0.028759168460965157,
-0.2678857445716858,
-0.43993258476257324,
0.05839589610695839,
-0.5382735729217529,
-0.0592836141586303... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel,... | slate | 1 | NIv2 | task197_mnli_domain_answer_generation | zs_opt | [
-1.0310611724853516,
0.5195648670196533,
-0.06577546149492264,
-0.18519915640354156,
-0.014269169420003891,
0.5885666608810425,
0.5709596872329712,
0.5811549425125122,
-0.008838646113872528,
-0.5064392685890198,
-0.512641429901123,
0.40304654836654663,
-0.32973265647888184,
-0.445525944232... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following exa... | halloween | 2 | NIv2 | task307_jeopardy_answer_generation_final | fs_opt | [
-0.30052274465560913,
0.3081778883934021,
-0.403164267539978,
0.21051239967346191,
0.6065624356269836,
-0.4942036271095276,
-0.03606189042329788,
0.6849895119667053,
0.5934049487113953,
0.4708271622657776,
-0.08813253045082092,
0.4451950192451477,
-0.12187793850898743,
-0.4527152180671692,... |
Teacher:A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
Teacher: Now, understand the problem? Solve this instance: Text: Een prachtig nieuw gebouw werd opgetrokken, maar in de ogen van George III, de aantrekkelijkheid erv... | Dutch | 6 | NIv2 | task447_opus_paracrawl_classification | zs_opt | [
0.4387615919113159,
0.49694952368736267,
0.6713070869445801,
-0.8250093460083008,
0.5210933089256287,
-1.280045747756958,
-0.7249851822853088,
0.582337498664856,
0.044267281889915466,
-0.4167691469192505,
0.0817539393901825,
0.5038339495658875,
-0.6181616187095642,
-0.3058432936668396,
-... |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Example Input: Dialogue 1: 'hows going today day kinda bad hoping tomorrow will be better today i w... | no
| 3 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.5825216174125671,
0.20832352340221405,
0.8232204914093018,
-0.11972877383232117,
-0.25850409269332886,
0.18501275777816772,
1.16832435131073,
0.40353700518608093,
0.2269085794687271,
-0.1603202372789383,
-0.216383695602417,
-0.6948966979980469,
-0.038809508085250854,
-0.2093547880649566... |
Teacher:In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
Teacher: Now, understand th... | Fine Arts | 6 | NIv2 | task521_trivia_question_classification | zs_opt | [
-0.26813286542892456,
0.4767441153526306,
-0.536225438117981,
0.3180325925350189,
-0.516975462436676,
0.055012911558151245,
0.8734581470489502,
0.7669516205787659,
0.2319103479385376,
-0.20764994621276855,
0.12864795327186584,
0.5473588109016418,
-0.23093146085739136,
0.09635388106107712,
... |
Detailed Instructions: In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in ... | #1 return cars
#2 return horsepower of #1
#3 return minimum of #2
#4 return #1 where #2 is equal to #3
#5 return model of #4 | 8 | NIv2 | task176_break_decompose_questions | zs_opt | [
0.972651481628418,
-0.44254395365715027,
-0.5788254737854004,
0.5390398502349854,
0.30551108717918396,
-0.5160072445869446,
1.6096129417419434,
0.3735910952091217,
-0.28808915615081787,
0.18491703271865845,
-0.3688466250896454,
-0.06043633073568344,
0.15027251839637756,
0.76905357837677,
... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
E... | Yes | 1 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
-0.22703859210014343,
-0.6263328790664673,
-0.00913128163665533,
0.7080400586128235,
0.12563075125217438,
-0.394928514957428,
0.173140749335289,
-0.08648193627595901,
-0.5371986031532288,
-0.24393609166145325,
0.3815808892250061,
0.7593957781791687,
0.26349347829818726,
0.6280557513237,
... |
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... | weakener | 9 | NIv2 | task936_defeasible_nli_snli_classification | zs_opt | [
0.3234221637248993,
0.0006712549366056919,
-0.2620619237422943,
-0.013362503610551357,
-0.5621525049209595,
-0.7661166191101074,
0.5861084461212158,
1.893739104270935,
0.3323492407798767,
-0.08773210644721985,
-1.2799603939056396,
0.2879200577735901,
-0.6251701712608337,
0.3120567202568054... |
instruction:
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 f... | I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_TURN_RIGHT I_JUMP
| 9 | NIv2 | task128_scan_structured_text_generation_command_action_short | fs_opt | [
0.003692472353577614,
0.9614180326461792,
-0.3168623745441437,
0.0630728155374527,
-0.11517851054668427,
-0.11688738316297531,
0.3924099802970886,
0.2990603446960449,
-0.20208585262298584,
-0.16102701425552368,
-1.0321507453918457,
-0.0431453175842762,
-0.553801953792572,
-0.11438363790512... |
In this task, you are given a sentence in Arabic, and your task is to translate it into English.
Q: هذا بالضبط أسلوبها
A: Well, that is exactly what she is.
****
Q: ماذا ستفعلين عشية السنة الجديدة؟
A: What are you doing New Year's Eve?
****
Q: لقد كنت على إتصال مع هولينغر
A: | Ive been in touch with Hollinger.
****
| 4 | NIv2 | task650_opus100_ar_en_translation | fs_opt | [
0.004104435443878174,
1.0158132314682007,
-0.25412923097610474,
-0.27233192324638367,
-0.22881613671779633,
-0.4355911612510681,
0.6045715808868408,
0.15014901757240295,
0.409873902797699,
-0.39551693201065063,
-0.2809264063835144,
0.1979377567768097,
-0.42119985818862915,
0.37486070394515... |
Detailed Instructions: In this task, you are given books product reviews in English 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.
Q: The Amazing Mr. Franklin . Excellent book on the life of Benjami... | NEG | 9 | NIv2 | task476_cls_english_books_classification | zs_opt | [
-0.392752468585968,
0.0953487828373909,
0.5742407441139221,
-0.48798292875289917,
0.49014949798583984,
-1.2346959114074707,
0.8635789155960083,
-0.465060293674469,
0.607492208480835,
0.6568764448165894,
-1.0143537521362305,
0.10766911506652832,
-0.5349677801132202,
-0.10617868602275848,
... |
Definition: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer... | They want(s) me to know my grandmother is in the hospital >Motivates> I get a call telling me my grandmother is in the hospital | 2 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.3988815248012543,
-0.1545044481754303,
-0.21918869018554688,
0.26918652653694153,
-0.04165804013609886,
-0.846908688545227,
0.591856837272644,
0.6279275417327881,
0.20742659270763397,
0.008712689392268658,
-0.5822727680206299,
0.3725680410861969,
0.048901673406362534,
0.1796420812606811... |
Detailed Instructions: You are given a sentence from a conversation between a human and a virtual assistant. Your task is to classify the sentence into one of the following five action categories - INFORM, INFORM_INTENT, OFFER, REQUEST, REQUEST_ALTS. If the sentence is about informing something, generate 'INFORM'. If i... | INFORM | 8 | NIv2 | task880_schema_guided_dstc8_classification | zs_opt | [
0.10114432871341705,
0.31124037504196167,
0.44583383202552795,
0.4557015597820282,
-0.13579431176185608,
0.05477307736873627,
-0.17949000000953674,
0.9713731408119202,
0.4815543293952942,
0.039798662066459656,
-0.4987723231315613,
-0.34679096937179565,
-0.6516275405883789,
0.03388212993741... |
Given the task definition, example input & output, solve the new input case.
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
Example: இந்தியா அல்லது உஸ்பெகிஸ்தானிடமிருந்து அறிவிப்பு வந்த நாளிலிருந்து ஆறு மா... | ఇటీవలే ముగిసిన పార్లమెంటు సమావేశాలు సామాజిక న్యాయం వైపు నిలచాయని ఆయన తెలిపారు. | 1 | NIv2 | task1075_pib_translation_tamil_telugu | fs_opt | [
0.1933661699295044,
0.8011032342910767,
-0.16465434432029724,
0.40509387850761414,
0.33712613582611084,
-0.6818709373474121,
0.07721728086471558,
0.11827516555786133,
-0.22203952074050903,
0.48544150590896606,
0.17894428968429565,
0.40234673023223877,
0.09140458703041077,
-0.05267487838864... |
You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
One example: Although I did enjoy the food here, I was completely unimpressed (and slightly annoyed) by the overpriced margaritas. I ordered a platinum which contained \"fresh\" juice. It tasted like it had ... | 4 stars | 6 | NIv2 | task1292_yelp_review_full_text_categorization | fs_opt | [
0.07101753354072571,
0.4280656576156616,
-0.3636074662208557,
0.014056884683668613,
-0.0998072624206543,
-0.9325543642044067,
0.22453615069389343,
1.1656112670898438,
0.09956002980470657,
-0.4680817127227783,
0.47932952642440796,
-0.1643351912498474,
-1.2072150707244873,
0.4333437085151672... |
Instructions: Given a fact, create a question that can be answered using the fact. Construct the question such that it is unambiguous, has a unique answer and the answer can be given using the fact.
Input: Fact: a squid produces thrust by pushing water out of its body
Output: | When a squid moves forward, water is? | 3 | NIv2 | task1398_obqa_question_generation | zs_opt | [
-0.026570618152618408,
1.4263379573822021,
-0.3640592694282532,
-0.5571308135986328,
-0.3362273573875427,
-0.6585201025009155,
-0.7922289371490479,
0.08234906941652298,
-0.0352681502699852,
0.12513861060142517,
-0.21815282106399536,
-0.10167109966278076,
-1.3742954730987549,
-0.02348005212... |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Ex Input:
Tweet: “@MyDick_SuckThat: Who that pussy wet for ?” http://t.co/Cru... | false
| 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-1.2528228759765625,
0.387972891330719,
0.5492584109306335,
0.7087064981460571,
-0.41075265407562256,
-1.2235833406448364,
-0.3072153925895691,
0.3417278528213501,
0.8403215408325195,
0.34249356389045715,
-0.17572765052318573,
-0.45115867257118225,
-0.5520510673522949,
-0.7739797830581665,... |
Given a paragraph and a question in Spanish, answer the question from the text. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Let me give you an example: Párrafo: Martín Lutero se casó con Katharina von Bora, una de las 12 monjas a las que... | MPEG-4 | 8 | NIv2 | task1610_xquad_es_answer_generation | fs_opt | [
-0.21877911686897278,
-0.1942773163318634,
-0.3116796314716339,
-0.09529292583465576,
0.03342058137059212,
0.8106023073196411,
0.5003694891929626,
1.146282434463501,
-0.245686873793602,
-0.03420064598321915,
0.22137224674224854,
0.20399276912212372,
-0.4862559735774994,
0.02346835657954216... |
In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8, 16, 32, 64, ... | [32, 256, 4096, 2048, 32] | 9 | NIv2 | task1444_round_power_of_two | fs_opt | [
-0.29298168420791626,
1.002051591873169,
-0.270416796207428,
-0.10058905184268951,
-0.2176673710346222,
-0.08128685504198074,
0.796338677406311,
0.35801735520362854,
-0.2701749801635742,
0.28227901458740234,
-0.6249102354049683,
0.5012997388839722,
-0.33292120695114136,
-0.2440559864044189... |
Q: In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an empty list. Your list o... | [7, 8, 9, 10] | 7 | NIv2 | task098_conala_list_intersection | zs_opt | [
0.2949722111225128,
-0.061102766543626785,
-0.4823172092437744,
-0.14088813960552216,
0.37923556566238403,
-0.22711460292339325,
0.5664950013160706,
0.38427165150642395,
0.07669194042682648,
0.3408834636211395,
-0.5094383955001831,
-0.6277745962142944,
-0.29172345995903015,
0.4545059204101... |
Instructions: Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable p... | Хората могат да се замесят с техните самоличности. | 3 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | zs_opt | [
0.38191694021224976,
0.7109588384628296,
-0.055151909589767456,
-0.3320274353027344,
0.030096597969532013,
-0.39081019163131714,
0.8357319831848145,
0.1813252717256546,
0.6086282730102539,
-0.7086078524589539,
-0.8561269044876099,
0.6741845011711121,
-0.2571893036365509,
0.2199817895889282... |
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