inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Teacher: You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Teacher: Now, understand the problem? If you are still confused, see the following example:
(Śmiech) Opublikował wiele filmów o przyrodzie.
Solution: (Risate) E infatti aveva già pubblicato tanti video sulla natura.
... | E sotto questa luce, tornate indietro alle fotografie di Michael Najjar, e vi rendete conto che non sono metafore, sono profezia. | 2 | NIv2 | task1262_ted_translation_pl_it | fs_opt | [
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-0.48549753427505493,
0.378625750541687,
-0.49921727180480957,
0.3761624693870544... |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Example Input: I bought this for my daughter and it barely fits her phone. Its cute though,... | Bad review
| 3 | NIv2 | task929_products_reviews_classification | fs_opt | [
0.18422693014144897,
0.006683778949081898,
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0.31710106134414673,
-0.02467997930943966,
-0.38409629464149475,
-0.117632679641246... |
Definition: In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: アメリカ合衆国国土安全保障省は、新たな安全保障情報ネットワーク-Secret(HSIN-Secret)を50州... | The United States Department of Homeland Security (DHS) is deploying its new Homeland Security Information Network - Secret (HSIN-Secret) in all 50 state Emergency Operations Centers as well as 18 additional state and local law enforcement sites. | 2 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
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... |
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 | 4 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-0.46622344851493835,
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0.31841516494750977,... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statemen... | A | 1 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | fs_opt | [
0.046827469021081924,
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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 | task1205_atomic_classification_isafter | zs_opt | [
0.18031787872314453,
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Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Input: E non se refiren a que precisen moita experiencia para aprender a fregar o chan ou baleirar caixas de lixo.
Output: | I nie chodzi o to, że trzeba wiele doświadczenia, by nauczyć się zmywać podłogi i opróżniać kosze. | 2 | NIv2 | task1244_ted_translation_gl_pl | zs_opt | [
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0.52090144157409... |
Q: 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 : F-Zero X is a futuristic racing video game for the Nintendo 64 (N64) console. ... | What video game console was the prequel of the music video game, which was supposed to include the song Jungle Drum, was exclusively released for? | 7 | NIv2 | task191_hotpotqa_question_generation | zs_opt | [
0.4510476589202881,
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0.7823485136032104,
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1.0099554061889648,
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0.2693350613117218,
0.6727219820022583,
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-0.113152876496315,
0... |
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable b... | A family friendly pub Cocum, has a average customer rating.
| 0 | NIv2 | task1409_dart_text_generation | fs_opt | [
0.3155626654624939,
0.0012556181754916906,
-0.6736952662467957,
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0.6913355588912964,
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0.36495041847229004,
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-0.33052486181259155,
-0.27024626731872... |
Part 1. 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.
Part 2. Example
Says th... | congress | 7 | NIv2 | task613_politifact_text_generation | fs_opt | [
0.5786101818084717,
-0.11052949726581573,
-0.2450006902217865,
0.12030826508998871,
-0.0868837833404541,
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0.5102185010910034,
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0.05749279633164406,
0.2606717348098755,
-0.5437502264976501,
0.30022215843200684,
-0.6770873665809631,
0.10322079062461853... |
Definition: In this task, you are given a sentence and a question, you would be asked to create the answer which is contained in the sentence provided.
Input: Sentence: Solid property are alkali metals at room temperature. Question: What property are alkali metals at room temperature?
Output: | solid | 2 | NIv2 | task1555_scitail_answer_generation | zs_opt | [
0.6430803537368774,
0.870362401008606,
-0.8958530426025391,
-0.3507808446884155,
-0.2865941524505615,
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0.9665824770927429,
0.7103766202926636,
0.5758104920387268,
0.05400671809911728,
-0.3483995199203491,
0.44908732175827026,
-0.4379291236400604,
0.011361321434378624,
... |
Teacher: 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 ju... | 89% | 2 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
1.199749231338501,
0.6415154337882996,
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-0.... |
Given the task definition and input, reply with output. In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to b... | Yes | 5 | NIv2 | task632_dbpedia_14_classification | zs_opt | [
-0.5641697645187378,
0.21854816377162933,
0.6803997755050659,
0.5007699728012085,
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0.687041163444519,
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... |
Teacher:In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
Teacher: Now, understand the problem? Solve this instance: u hv such a beautiful eyes all because of you seenoevilmonkey haha u r so funny
Student: | happy | 6 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
-1.0602391958236694,
0.5539512038230896,
1.3822903633117676,
-1.063580870628357,
0.01240195706486702,
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0.05015340447425842,
0.10823040455579758,
0.3423703908920288,
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0.6245089769363403,
-0.5170814990997314,
-0.5416061282157898,
0.013855261728167534,
... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwi... | Yes
| 5 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt | [
-0.23730412125587463,
0.2759401202201843,
-0.01574215665459633,
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0.16935616731643677,
-0.5429329872131348,
0.114719025790... |
instruction:
Given a paragraph about cooking, and a set of conversational question answers about the paragraph, answer a follow-up question from the paragraph. The paragraph has a prefix 'CONTEXT:'. Each conversation question has a prefix 'Q:' followed by answer prefix 'A:'. The final followup question has a prefix 'FO... | If you don't have a food processor, you can maybe use a cheese grater or potato masher instead
| 9 | NIv2 | task1438_doqa_cooking_answer_generation | fs_opt | [
-0.09235086292028427,
0.07572359591722488,
-0.3226695954799652,
0.5947884321212769,
0.29933348298072815,
-0.3976849615573883,
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1.002450704574585,
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0.21833842992782593,
0.2785043716430664,
-0.1362159252166748,
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0.7989401817321777,
... |
You will be given a definition of a task first, then some input of the task.
A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
हम सभी को पता है कि गतिशीलता मानव की प्रगति के लिये अहम रही है।
Output: | അതിനാല് തന്നെ ഈ ചലന ശക്തിയെ വിപുലമായ രീതിയില് മനസിലാക്കേണ്ടതുണ്ട്. | 1 | NIv2 | task1017_pib_translation_hindi_malayalam | zs_opt | [
-0.11259454488754272,
0.48921722173690796,
0.2547582685947418,
-0.00016156325000338256,
-0.6440815925598145,
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0.7705989480018616,
-0.14175653457641602,
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-0.1722024828195572,
-0.6324737071990967,
-0.560009241104126,
-0.6317366361618042,
0.50564789772... |
Teacher:In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Teacher: Now, understand the problem? Solve this instance: Sentence 1: ... | yes | 6 | NIv2 | task199_mnli_classification | zs_opt | [
-0.5580284595489502,
0.7195203900337219,
0.8454574346542358,
-0.5198315382003784,
0.2365231215953827,
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1.239788293838501,
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... |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Cambridge Blue], e... | The Cambridge Blue is a restaurant that serves Japanese food. they have a customer Rating of 5 out of 5. | 2 | NIv2 | task957_e2e_nlg_text_generation_generate | zs_opt | [
-0.4886525869369507,
0.20353955030441284,
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-0.672572135925293,
0.09134115278720856,
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0.440805584192276,
-0.5931276082992554,
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0.24190376698970795,
... |
Categorize the comment on the basis of sexual explicitness. If the comment is sexually explicit output Yes, otherwise output No.
--------
Question: Oh bull! That was just part of the deal taking money from Homeland Security. The contract between them states that LTD has to do this or they won't get anymore $$$. I've... | Yes
| 7 | NIv2 | task1723_civil_comments_sexuallyexplicit_classification | fs_opt | [
-0.2666899561882019,
0.3482851982116699,
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0.05183640867471695,
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0.41027286648750305,
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-0.5154699087142944... |
Q: In this task, you are given a sentence in Persian, and your task is to translate it into English.
انجمن مادران شیرده اندونزی یک فیلم انیمیشن ۱۳ دقیقهای تولید کرده که در آن فواید شیردهی توسط مادر را به زوجها آموزش میدهد.
A: | The Indonesia Breastfeeding Mothers Association has produced a 13 minute film animation that educates Indonesian couples about the benefits of breastfeeding. | 7 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
-0.4293805956840515,
0.4534653425216675,
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0.31884151697158813,
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-0.6695326566696167,
-0.12344416975975037,
-0.923688530921936,
0.309556096792... |
You will be given a definition of a task first, then some input of the task.
A text is given in Malayalam. Translate it from the Malayalam language to the Marathi language. The translation must not omit or add information to the original sentence.
प्रत्येक व्यक्तीपर्यत यासाठी जागृती करण्याची गरज असून त्यासाठी तुमची मद... | ഇന്ന് രാജ്യമെങ്ങും മൂവായിരത്തിലധികം ജനഔഷധി കേന്ദ്രങ്ങള് തുറക്കപ്പെട്ടിട്ടുണ്ട്. അവിടെ 800 ല് അധികം മരുന്നുകള് കുറഞ്ഞ വിലയില് ലഭ്യമാക്കുന്നുണ്ട്. പുതിയ കേന്ദ്രങ്ങളും തുറക്കുകയാണ്. | 1 | NIv2 | task1072_pib_translation_marathi_malayalam | zs_opt | [
0.5791685581207275,
0.6976176500320435,
-0.018076825886964798,
-0.7557514309883118,
-0.27668309211730957,
-1.8228638172149658,
0.8825623989105225,
0.169153094291687,
-0.08543728291988373,
-0.1407482773065567,
-0.42045915126800537,
-0.36021244525909424,
-0.9312875270843506,
0.13416817784309... |
In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
Input: Consider Input: 2 hard-boiled eggs, 2 tablespoons mayonnaise, 1/4 teaspoon chili powder (Gebhardt is good), taco sauce, salt & pepper, 20 Ritz cracke... | Output: cloves, cinnamon, water, sugar, orange juice, orange juice, lemon juice, pineapple juice
| 2 | NIv2 | task570_recipe_nlg_ner_generation | fs_opt | [
0.5508520603179932,
-0.5376589894294739,
-0.4623517096042633,
0.750880241394043,
0.12337154150009155,
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0.9964775443077087,
0.8449358940124512,
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0.19122125208377838,
-0.13904380798339844,
-0.6771749258041382,
0.10748948156833649,... |
Detailed Instructions: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is co... | Option 1 | 8 | NIv2 | task065_timetravel_consistent_sentence_classification | zs_opt | [
-0.42593514919281006,
0.5721498131752014,
0.45987796783447266,
-0.04879690706729889,
0.1628720462322235,
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0.3092738389968872,
0.7140606641769409,
0.4530688524246216,
0.03154784068465233,
-0.38307467103004456,
-0.21383026242256165,
-0.2561371922492981,
-0.26527780294418... |
Instructions: In this task you will be given a question and a passage. You need to determine if the answer to the question is contained in the passage. If the answer can be found in the passage you should output 'True'. If the answer cannot be found in the passage you should output 'False'.
Input: Passage: 'Darī (Dari:... | True | 3 | NIv2 | task520_aquamuse_answer_given_in_passage | zs_opt | [
0.36699286103248596,
0.36382901668548584,
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0.21515998244285583,
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1.5122981071472168,
0.4289093315601349,
0.29325786232948303,
0.2760847806930542,
-1.4314173460006714,
0.610271692276001,
-0.9198009371757507,
0.915462076663971,
0... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Input: We are like that, too.
Output: | Nós também somos assim. | 2 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
0.1098785549402237,
1.0522654056549072,
0.2889713644981384,
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0.29959332942962646,
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-0.5219845771789551,
... |
Given the task definition and input, reply with output. 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 .
Statement: എ.സി.പി. ഹാരിസ് (<MASK>) നേത്രത്വത്തിൽ അന്വേ... | ജയസൂര്യ | 5 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | zs_opt | [
0.16746635735034943,
0.5022191405296326,
-0.3779507279396057,
-0.43662580847740173,
-0.035856686532497406,
-0.16778336465358734,
-0.03794645890593529,
-0.03932937979698181,
0.4651467204093933,
-0.19984720647335052,
-0.24991273880004883,
-0.47593870759010315,
-0.0012885811738669872,
-0.9247... |
Detailed Instructions: In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author is considering doing something i... | HISTORICAL | 8 | NIv2 | task282_scruples_event_time | zs_opt | [
-0.3754900097846985,
0.5267488360404968,
0.5387164354324341,
0.42564651370048523,
0.06262349337339401,
-1.2729887962341309,
0.6368069648742676,
0.6834887862205505,
0.18016907572746277,
0.12077844142913818,
-0.28932029008865356,
0.4938730001449585,
-0.5339277386665344,
-0.3594168424606323,
... |
TASK DEFINITION: In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
PROBLEM: Question: What age was Robert I the ye... | 3
| 8 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.795757532119751,
0.7065191268920898,
-0.8421238660812378,
-0.4236863851547241,
0.5985866189002991,
-0.47648918628692627,
0.9548655152320862,
0.7796931266784668,
0.39540016651153564,
-0.28087833523750305,
-0.4067397117614746,
0.6390751004219055,
-1.0205280780792236,
-0.016791991889476776,... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
... | पिस्तौल के साथ एक व्यक्ति ने कर्मचारियों को जमीन पर मजबूर कर दिया, जबकि अन्य दो लोगों ने चित्रों को चुरा लिया। | 1 | NIv2 | task432_alt_en_hi_translation | fs_opt | [
-0.05705658346414566,
1.1354120969772339,
-0.4251813292503357,
0.5946621894836426,
0.19769197702407837,
-0.25380176305770874,
-0.16161580383777618,
0.7320690155029297,
0.2662385106086731,
-0.5020873546600342,
-0.5660897493362427,
0.41233402490615845,
0.30549338459968567,
0.3061654567718506... |
Detailed Instructions: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Dete... | NN | 4 | NIv2 | task382_hybridqa_answer_generation | fs_opt | [
0.5739659667015076,
0.43078702688217163,
-0.6966875791549683,
0.6110755205154419,
-0.2516780495643616,
-0.7468327283859253,
0.845425009727478,
0.5097441673278809,
-0.40687721967697144,
0.031110791489481926,
-0.5523894429206848,
0.6583679914474487,
-0.4788669943809509,
0.3294941186904907,
... |
Given the task definition and input, reply with output. You are given a paragraph, a question and some answer options (associated with "A", "B", "C", "D", etc.) You need to list all the correct answer options with their associated letters (e.g. "A" can be a valid answer). Note that sometimes, more than one option can a... | A, D, F, G. | 5 | NIv2 | task058_multirc_question_answering | zs_opt | [
0.3973758816719055,
0.09195446968078613,
-0.6644705533981323,
-0.2601816952228546,
0.4044176936149597,
0.11283354461193085,
0.6985563039779663,
0.8920648097991943,
0.023219067603349686,
0.30286383628845215,
-0.6159945726394653,
0.7882611751556396,
-0.7717195749282837,
0.5025164484977722,
... |
Instructions: 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.
Input: Tweet: I confess. I'm autistic or something. I thought #Aerosmith #Dr... | false | 3 | NIv2 | task905_hate_speech_offensive_classification | zs_opt | [
-1.0492358207702637,
0.40122324228286743,
0.7194379568099976,
0.10041125118732452,
-0.5468922853469849,
-1.1493570804595947,
0.45385614037513733,
0.5596985816955566,
0.21363677084445953,
0.103279247879982,
0.07959286868572235,
-0.2714989483356476,
-0.413985013961792,
-0.7544271945953369,
... |
Given the task definition and input, reply with output. In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be d... | Sentence 1: PersonX locked themselves out of the house but PersonY was the locksmith, so _ was stuck outside the house.
Sentence 2: PersonX locked themselves out of the house but PersonY was a locksmith, so _ went inside the house. | 5 | NIv2 | task030_winogrande_full_person | zs_opt | [
-0.01787487417459488,
0.6764452457427979,
0.0007400354370474815,
-0.17580074071884155,
0.15975543856620789,
-0.11731968820095062,
0.7965216636657715,
0.5968661308288574,
0.16016140580177307,
-0.4905535578727722,
-0.6158796548843384,
0.0298723466694355,
-0.7256603837013245,
0.23561799526214... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear an... | Answer: none | 1 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | fs_opt | [
0.09579940140247345,
0.4110657572746277,
-0.7606410384178162,
0.674597978591919,
0.2248038649559021,
-0.4282597005367279,
0.48839154839515686,
0.8520946502685547,
0.40828704833984375,
0.4458993077278137,
-0.5408552289009094,
0.03260881453752518,
-0.5787181854248047,
-0.08545597642660141,
... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Y el resultado fue de una divergencia aún mayor en un periodo muy corto de tiempo que el que ocurrió en Alemania. | 結果はドイツよりもさらに大きな格差が短期間で付きました | 0 | NIv2 | task1227_ted_translation_es_ja | zs_opt | [
-0.7083330750465393,
0.6196717619895935,
-0.27972739934921265,
-0.25482216477394104,
-0.3412586450576782,
0.37444764375686646,
0.23383575677871704,
0.9415080547332764,
0.5981686115264893,
-0.5435609221458435,
-0.07194038480520248,
-0.11152729392051697,
-1.0629546642303467,
0.46426567435264... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Q: The dog is seen in several clips chasing after a frisbee.
A: | A text intro leads into a picture of a dog and the same dog running along the yard. | 4 | NIv2 | task455_swag_context_generation | zs_opt | [
0.08284029364585876,
0.8263052701950073,
-0.8274324536323547,
0.18112829327583313,
-0.30147507786750793,
0.027342453598976135,
-0.1165841743350029,
0.5070256590843201,
-0.5314980745315552,
-0.5181374549865723,
-0.05437568575143814,
0.09470179677009583,
0.1885770559310913,
0.331574916839599... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
One thing that driv... | 4 | 1 | NIv2 | task1310_amazonreview_rating_classification | zs_opt | [
-0.21685445308685303,
0.012259619310498238,
0.12382824718952179,
-0.041908759623765945,
0.744195818901062,
0.5786845684051514,
0.929742693901062,
0.41248267889022827,
0.11038409173488617,
0.4962044954299927,
-0.33556798100471497,
-0.13097351789474487,
-0.5622385740280151,
0.105345763266086... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Q: مثل این است که مردم دائما در خلاف جهت باد قایق رانی می کنند
A: É como estar navegando todo o tempo con vento de proa.
****
Q: و چون ما این ماده را تولید می کنیم ، ما چرم را از صفر پرورش می دهیم ، می توانیم ویژگی های... | A letra SHeen, que soa como a nosa "" xe "" en "" peixe "" Tamén é a primeira letra da palabra shalan, que significa "" algo "" como na palabra inglesa "" something "", unha cousa indefinida e descoñecida.
****
| 4 | NIv2 | task1270_ted_translation_fa_gl | fs_opt | [
-0.5893820524215698,
1.0627325773239136,
0.08527529239654541,
-0.4726293087005615,
-0.2444027066230774,
-0.6926555633544922,
0.2685486972332001,
0.8208036422729492,
-0.18689507246017456,
0.2504727840423584,
-0.38456475734710693,
0.09744251519441605,
-0.26062044501304626,
0.1920552849769592... |
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 provides additional inform... | Output: weakener
| 2 | NIv2 | task935_defeasible_nli_atomic_classification | fs_opt | [
0.36652547121047974,
0.2736530303955078,
-0.8907190561294556,
0.21768991649150848,
-0.07822079956531525,
-0.7023205161094666,
0.7172896862030029,
1.0480334758758545,
0.27845361828804016,
-0.6226456761360168,
-0.9224606156349182,
-0.028655212372541428,
-0.7043246030807495,
-0.34939321875572... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Sentence 1: More imperial tombs can be seen at the Muradiye complex, which com... | no
| 0 | NIv2 | task199_mnli_classification | fs_opt | [
-0.46342694759368896,
0.5804908275604248,
0.23397418856620789,
-0.10099872946739197,
0.03868579864501953,
-0.8077033162117004,
0.3735004961490631,
1.0484731197357178,
0.309730589389801,
0.07554212957620621,
-0.4591488540172577,
-0.5772780179977417,
-0.6279600262641907,
0.036079391837120056... |
Given the task definition, example input & output, solve the new input case.
In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning t... | B_contradicts_A | 1 | NIv2 | task1615_sick_tclassify_b_relation_a | fs_opt | [
-0.10265187919139862,
0.30008596181869507,
-0.34941527247428894,
-0.07544392347335815,
-0.12413209676742554,
-0.4828195869922638,
-0.3942081332206726,
1.0887203216552734,
-0.012080902233719826,
-0.4626336395740509,
-0.9294954538345337,
-0.0016740108840167522,
0.26564642786979675,
-0.408742... |
Q: 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 'A... | ADV | 7 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.7327885031700134,
0.11100515723228455,
0.0733291357755661,
0.029928572475910187,
0.06983824074268341,
-0.8597814440727234,
0.7178823351860046,
0.7744081616401672,
-0.3695015013217926,
-0.06071813404560089,
-0.29693126678466797,
0.08437339961528778,
-0.5609486699104309,
0.6262711882591248... |
In this task, you are given a sentence which contains a motion and your task is to identify the physical entities involved in the motion. The input sentence can have more than one entity and also there is at least one entity that takes part in physical motion. There are two types of entities which are animate (beings t... | woman | 0 | NIv2 | task1518_limit_answer_generation | zs_opt | [
-0.41691455245018005,
0.31406664848327637,
-0.2471177577972412,
0.7012361288070679,
-0.3663991093635559,
-0.04215187579393387,
0.03291049599647522,
0.35710299015045166,
0.05836542695760727,
-0.028638500720262527,
-0.604710578918457,
-0.8587530851364136,
-0.15014711022377014,
-0.14548751711... |
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.
[-1, 59, -29, 42, -92, -81, -53, 96]
[60, 88, 71, 134, 11, 28, 149]
[-22, 94... | [189, 187, 111, 98, 90, 61, 96, 34, 31, 32, 126, 134, 154]
| 0 | NIv2 | task125_conala_pair_differences | fs_opt | [
-0.4978298842906952,
0.190318763256073,
-0.3255736231803894,
-0.06918734312057495,
-0.2758517563343048,
-0.06413918733596802,
0.5607593655586243,
0.4379013478755951,
0.11958357691764832,
-0.3526621460914612,
-0.41497838497161865,
-0.35914814472198486,
-0.17305177450180054,
-0.0410050973296... |
Teacher: 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. Yo... | Yes | 2 | NIv2 | task1199_atomic_classification_xattr | fs_opt | [
0.5737317204475403,
-0.24768295884132385,
0.3970613479614258,
-0.11656822264194489,
-0.22192853689193726,
-1.3089104890823364,
0.8893383741378784,
0.5573670268058777,
-0.7465008497238159,
-0.16268494725227356,
-0.11073973774909973,
-0.6522306203842163,
-0.7437950372695923,
-0.1853718757629... |
Teacher:In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: religious or non-political religious on... | non-religious | 6 | NIv2 | task1492_bengali_religious_hate_speech_binary_classification | zs_opt | [
-0.6137136220932007,
0.3971071243286133,
0.2583978772163391,
0.4876852035522461,
-0.61480712890625,
-0.5884485244750977,
0.22293373942375183,
0.5047458410263062,
0.2516014575958252,
0.1398024559020996,
-0.2350289523601532,
-0.0931137353181839,
-0.19800516963005066,
-0.37123093008995056,
... |
Detailed Instructions: Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An ... | no | 4 | NIv2 | task108_contextualabusedetection_classification | fs_opt | [
-0.374394029378891,
0.18499335646629333,
0.06816069036722183,
0.44557976722717285,
-0.3589392900466919,
-0.19466589391231537,
0.9228644371032715,
0.6996662616729736,
0.4964875280857086,
0.38343149423599243,
0.004764825105667114,
0.070621058344841,
-0.2812368869781494,
-0.23018956184387207,... |
Given the task definition and input, reply with output. 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 individua... | I_TURN_RIGHT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK | 5 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.14791537821292877,
0.7459416389465332,
-0.40156540274620056,
0.46028175950050354,
0.045881614089012146,
-0.21431666612625122,
-0.09519089013338089,
0.3066723644733429,
-0.2847711145877838,
-0.18678537011146545,
-0.70891273021698,
-0.32308050990104675,
-0.3875790238380432,
-0.241668432950... |
Instructions: This task is to translate a news commentary statement given in German language into Spanish language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Input: Ein neuer Anfang für China und... | ¿Un nuevo comienzo para China y el Japón? | 3 | NIv2 | task1373_newscomm_translation | zs_opt | [
-0.6089023351669312,
0.2546442449092865,
-0.32246389985084534,
0.10934273898601532,
-0.07966454327106476,
0.3028518557548523,
0.5861907601356506,
0.8282688856124878,
0.5985811948776245,
-0.554264485836029,
-0.04627842456102371,
-0.03414212539792061,
-0.40802979469299316,
0.0188457220792770... |
This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning ty... | Did the Packers win or lose the game prior to the game against the Steelers? | 0 | NIv2 | task026_drop_question_generation | zs_opt | [
0.42656102776527405,
-0.0917515978217125,
-0.7683029174804688,
0.4183371067047119,
0.1814691722393036,
-0.040457483381032944,
0.46288859844207764,
0.2861567437648773,
0.013916904106736183,
0.22486785054206848,
-0.7216043472290039,
0.3226235508918762,
-0.7463690638542175,
0.383884996175766,... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be... | 6415
| 7 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
-0.5248846411705017,
0.28641748428344727,
-0.4721792936325073,
-0.3051307201385498,
-0.17794780433177948,
-0.11136494576931,
0.6253799200057983,
-0.020912781357765198,
-0.7738781571388245,
0.061323974281549454,
-0.8665871620178223,
0.37232500314712524,
-0.11311382055282593,
-0.277570426464... |
instruction:
Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
question:
concept: Wyatt Earp question: what gunfight is wyatt earp most famous for?
answer:
['Gunfight at the O.K. Corral']
question:
conce... | ['Jana Duggar']
| 9 | NIv2 | task1601_webquestions_answer_generation | fs_opt | [
-0.3621804714202881,
0.7919445633888245,
-0.9401050806045532,
-0.48578765988349915,
-0.37948673963546753,
-0.8294813632965088,
1.2747225761413574,
0.08139871805906296,
0.926284670829773,
0.05198998749256134,
0.3520059585571289,
0.727594792842865,
-1.1373114585876465,
0.5244739055633545,
... |
Instructions: In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel.
Input: OVVnUAKoOoj
Output: | VVnKj | 3 | NIv2 | task365_synthetic_remove_vowels | zs_opt | [
0.878842830657959,
1.213423728942871,
-0.5217715501785278,
-0.6602081060409546,
0.43849512934684753,
-0.5949993133544922,
0.597959041595459,
0.38025718927383423,
0.4685328006744385,
-0.23539502918720245,
-0.1358720362186432,
-0.3587447702884674,
-0.2133427858352661,
-0.67778480052948,
0.... |
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the inde... | (9, 10) | 9 | NIv2 | task089_swap_words_verification | fs_opt | [
-0.21112878620624542,
0.4075762629508972,
-0.029441047459840775,
-0.7082957029342651,
0.015268933027982712,
-0.11422478407621384,
0.3951677978038788,
0.38522103428840637,
-0.029261495918035507,
-0.1199391633272171,
-0.22947736084461212,
-0.2474612444639206,
-0.35502204298973083,
0.09093527... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Ex Input:
Entonces ¿qué hicimos al respecto?
Ex Output:
Quindi, cosa facciamo?
Ex Input:
Déjenme explicarles algo.
Ex Output:
Fatemi chiarire una cosa.
Ex Input:
El próximo paso es el llamado responsabilidad universa... | Il prossimo passo è chiamato della responsabilità universale. Questo è molto importante - la Carta della Compassione perché deve portarci a sviluppare, attraverso la vera compassione, quella che è chiamata responsabilità universale. Questo è il significato del grande insegnamento di sua santità, il Dalai Lama, che inse... | 1 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-1.0899955034255981,
0.2519300580024719,
-0.44154658913612366,
0.019414398819208145,
-0.7488666772842407,
-0.6525596380233765,
0.34289130568504333,
0.796978235244751,
0.04229368269443512,
0.03583911061286926,
-0.12038218975067139,
0.8512890338897705,
-0.06468921899795532,
-0.27245557308197... |
Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Example Input: Dengan kemenangan ini, pemilik Chip Ganassi Racing menjadi pemilik tim balap pertama dalam sejarah balapan yang ... | 更なる詳細については、以下に記載されている選挙運動公式ウェブサイトにアクセスしてください。
| 3 | NIv2 | task1116_alt_id_ja_translation | fs_opt | [
-0.21398769319057465,
-0.7562116384506226,
0.059645939618349075,
0.27432340383529663,
0.09838086366653442,
-0.3619188070297241,
0.29751676321029663,
0.21358782052993774,
-0.2842148542404175,
-0.11497069895267487,
-0.6587945222854614,
0.8017509579658508,
-0.04686467722058296,
-0.05376438051... |
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Input: פעולות פשוטות יכולות לחולל שינוי גדול.
Output: | الأعمال البسيطة يمكن أن تخلق فرقا كبيرا. | 3 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.37626147270202637,
1.054520845413208,
-0.15837493538856506,
-0.52420973777771,
-0.2011989951133728,
0.4449591040611267,
0.8366893529891968,
0.15730565786361694,
0.7094941139221191,
-0.508816123008728,
-0.8960952758789062,
-0.5139375329017639,
-0.35340815782546997,
-0.2448216676712036,
... |
In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the 'No' category. The sent... | Yes | 4 | NIv2 | task1517_limit_classfication | zs_opt | [
-0.2588677406311035,
0.3642721176147461,
0.25242310762405396,
1.0573487281799316,
-0.088144451379776,
-0.38005250692367554,
0.3579987585544586,
1.2192398309707642,
0.26443034410476685,
-0.1234065592288971,
-0.4934028387069702,
-0.7265377044677734,
-0.5262888669967651,
0.170482337474823,
... |
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
Q: When a change of an unspecified nature is made to the privacy policy, the policy da... | Not specified | 4 | NIv2 | task684_online_privacy_policy_text_information_type_generation | zs_opt | [
-0.736146092414856,
0.015536672435700893,
-0.31063058972358704,
0.40212878584861755,
-0.7457466721534729,
-0.9978334903717041,
0.37696051597595215,
0.5922269821166992,
0.36787348985671997,
0.3008265495300293,
0.39627164602279663,
-0.3579332232475281,
-0.10596674680709839,
-0.59884297847747... |
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
Input: אבל מה שזה אומר זה שכשאת נלחמת בשחיתות, כשאת נוגעת בכיסים של אנשים שגונבים כסף, הם לא יושבים בשקט.
Output: | Mas significa que, quando combatemos a corrupção, quando tocamos nos bolsos de pessoas que andam a roubar dinheiro, eles não ficam quietos. | 3 | NIv2 | task1114_ted_translation_he_pt | zs_opt | [
-0.43336424231529236,
1.0012670755386353,
-0.6663958430290222,
-0.23043519258499146,
-1.015796184539795,
0.3404605984687805,
-0.4379228949546814,
0.7416135668754578,
0.5340319871902466,
-0.1531517207622528,
-0.629946768283844,
0.12048713862895966,
-0.851673424243927,
-0.8114331960678101,
... |
In this task you are given a premise and two alternatives in Italian. 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.
Exam... | 2
| 3 | NIv2 | task1172_xcopa_commonsense_reasoning_it | fs_opt | [
-0.23751074075698853,
0.4624776244163513,
-0.22338584065437317,
0.8389723300933838,
-0.0659758523106575,
0.28813883662223816,
0.2228403389453888,
1.6482092142105103,
0.08952315151691437,
0.35245296359062195,
-0.532488226890564,
0.036132585257291794,
0.36500084400177,
-0.2696082592010498,
... |
Teacher: In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name entity, t... | New: B-LOC, York: I-LOC | 2 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | fs_opt | [
0.08635690808296204,
0.15277528762817383,
-0.08254540711641312,
0.16397011280059814,
-0.1191481426358223,
0.33872777223587036,
0.3536679148674011,
0.1580023616552353,
0.6866698265075684,
-0.12780256569385529,
-0.4209083318710327,
0.5827188491821289,
-0.41450998187065125,
0.0776955485343933... |
Definition: You are given a negative review and your task is to convert it to a positive review by one or more making minimal changes. Avoid changing the context of the review.
Input: the security guard comes upstairs and pounds on our door demanding we open up .
Output: | the security guard comes upstairs and knocks on our door asking politely if we can open up . | 2 | NIv2 | task927_yelp_negative_to_positive_style_transfer | zs_opt | [
-0.029786452651023865,
0.8624026775360107,
0.052552904933691025,
0.2092498391866684,
-0.21886640787124634,
0.07555718719959259,
0.3220635652542114,
0.607771635055542,
0.7904530763626099,
0.0158563032746315,
-0.5550453066825867,
-0.19904883205890656,
-1.0079960823059082,
0.08496531844139099... |
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
[Q]: Article: darfur rebel groups dismissed on thursday an arab league initiative aimed at bringing peace to the war-ravaged weste... | yes
| 5 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.6024177074432373,
0.43754255771636963,
0.03317057341337204,
-0.4868403673171997,
-0.00324304960668087,
-0.12135212868452072,
0.22729869186878204,
0.7273989319801331,
0.14055082201957703,
0.28834298253059387,
-0.6184074878692627,
0.07687417417764664,
-0.9320439696311951,
0.15336900949478... |
Q: In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: the average weight of 22 boys in a class is 50.25 kg and that of the remaining 8 boys is 45.15 kg . find the average weights of all the boys in the class .
Option... | a | 7 | NIv2 | task1420_mathqa_general | zs_opt | [
0.43160784244537354,
0.164574533700943,
-0.3242448568344116,
-0.814525842666626,
0.0006086339708417654,
-0.5869197845458984,
0.6530709862709045,
1.0295436382293701,
-0.029833227396011353,
-0.38729792833328247,
-0.9317851662635803,
0.20856277644634247,
-0.5197592377662659,
-0.55709707736968... |
In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
[Q]: We can program a Real-Time (RT) music improvisation system in C++ without a formal semantic or we can model it with process calculi such as the Non-deterministic ... | Character-Level Language Modeling with Hierarchical Recurrent Neural Networks
| 5 | NIv2 | task1540_parsed_pdfs_summarization | fs_opt | [
-0.04791390895843506,
0.5355843305587769,
-0.13365140557289124,
0.6693769097328186,
0.5522665977478027,
-0.6009447574615479,
0.44282060861587524,
0.7670755386352539,
0.1325366199016571,
0.3618837594985962,
-0.42436492443084717,
-0.22590097784996033,
-0.7359926104545593,
0.2533785104751587,... |
This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of... | SIMILAR | 9 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.19095350801944733,
0.31301620602607727,
0.1840110719203949,
-0.39486050605773926,
-0.33534228801727295,
-1.204422950744629,
1.249261736869812,
-0.03694714605808258,
-0.042241573333740234,
0.12833181023597717,
-0.6741451025009155,
0.40420258045196533,
-0.5604662895202637,
0.4282315671443... |
Teacher: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the ... | look right thrice and turn left thrice | 2 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.2403174638748169,
0.5382868051528931,
-0.4212837219238281,
-0.26735904812812805,
0.02285052090883255,
0.1366415023803711,
0.2054126262664795,
0.737594723701477,
-0.25597259402275085,
-0.3338440954685211,
-0.8035002946853638,
-0.3107419013977051,
-0.6528140306472778,
-0.16641691327095032,... |
Instructions: In the following task, you are given a yes/no question, its answer, and additional information which includes a description of a key term in the question and several facts. Your task is to "decompose the question"i.e. write the steps required to construct the given answer where each step is a question tha... | Step1: Is cholera a bacteria?, Step2: Are bacteria considered to be living?, Step3: Are the answers to #1 and #2 the same?, Wikipedia page for step 1: Cholera, Wikipedia page for step 2: Bacteria, Wikipedia page for step 3: , not_definitive_answer: False, incorrect_answer: False | 3 | NIv2 | task168_strategyqa_question_decomposition | zs_opt | [
1.0026357173919678,
-0.47295159101486206,
-0.4841073155403137,
0.8448941707611084,
0.38096699118614197,
-0.3090154528617859,
0.8029871582984924,
0.626532793045044,
0.10834076255559921,
0.1924935281276703,
-0.08971337974071503,
0.010414613410830498,
-0.487064003944397,
0.1259850114583969,
... |
In this task, you have given an input which is user's command or question, based on that you have to return what will be Agent's response/reply for that particular user's command or question
Input: Consider Input: And what about the one in the first week of November?
Output: 30 minutes and 0 seconds
Input: Consider... | Output: Is this what you're looking for?
| 2 | NIv2 | task1603_smcalflow_sentence_generation | fs_opt | [
0.025080831721425056,
0.039552390575408936,
-0.009572743438184261,
-0.46247678995132446,
-0.2163543999195099,
-1.0681729316711426,
0.6805341243743896,
0.029521934688091278,
0.04786942899227142,
-0.2255539894104004,
-0.0279640331864357,
-0.29382002353668213,
-0.597302258014679,
0.1017182022... |
Part 1. Definition
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited whe... | Ona uživa u izradi papirnatih laptopa, kako ih ona naziva. | 7 | NIv2 | task1365_opustedtalks_translation | fs_opt | [
-0.12301894277334213,
0.4809788763523102,
-0.22901231050491333,
0.6108282804489136,
-0.0720633715391159,
-0.621823787689209,
0.506855309009552,
-0.1594925820827484,
0.06861728429794312,
-0.1353689730167389,
-0.25602853298187256,
0.5496228337287903,
0.005276021547615528,
-0.0165337882936000... |
The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
One example is below.
Q: PersonX keeps ___ in mind
A: to remember ... | to make them happy | 9 | NIv2 | task1596_event2mind_text_generation_2 | fs_opt | [
-0.32362836599349976,
0.6890104413032532,
0.1098639965057373,
-0.5128949284553528,
-0.6025726795196533,
-0.675981879234314,
1.2143360376358032,
0.3598153591156006,
0.06947051733732224,
-0.7105458974838257,
-0.05537791550159454,
-0.2158660590648651,
-0.8933460712432861,
0.5112788677215576,
... |
In this task you are given an anecdote, which recount a complex ethical situation. The question you are given is, has the author of the anecdote acted ethically? answer this question with "RIGHT" or "WRONG".
Q: I am a child of immigrants. I recently moved back home from college 7 months ago and I can't wait to be out. ... | RIGHT | 4 | NIv2 | task224_scruples_anecdotes_ethical_judgment | zs_opt | [
0.35806113481521606,
0.18950244784355164,
0.08716670423746109,
0.16721275448799133,
0.021541697904467583,
-0.6528575420379639,
0.32993605732917786,
0.9511909484863281,
-0.06557399779558182,
0.1506345570087433,
-0.1601746529340744,
0.8075477480888367,
-0.9257753491401672,
-0.561279833316803... |
Definition: In this task, you're given an input that contains two words, and your task is to predict the correct preposition that connects these two words. Predict the preposition that explicitly conveys both words' meaning, e.g., Word1: king
Word2: fort: "king of fort". Possible prepositions are: "of", "on", "in", "... | for | 2 | NIv2 | task585_preposition_classification | zs_opt | [
0.1411566138267517,
1.0225989818572998,
-0.17875561118125916,
-0.2556268870830536,
-0.2302696406841278,
-0.9030762314796448,
0.27287399768829346,
0.08533898741006851,
0.04850199446082115,
-0.924513041973114,
-0.9490005970001221,
0.12783771753311157,
-0.8719339966773987,
-0.0597067996859550... |
Instructions: Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). 1 In short, a "Yes, and" is a di... | He's Canadian. Wisconsin's almost like a little Canada, though. | 3 | NIv2 | task360_spolin_yesand_response_generation | zs_opt | [
0.4600147008895874,
1.0096869468688965,
0.7941226959228516,
-0.07698944211006165,
0.40298378467559814,
-1.017931580543518,
0.28383874893188477,
0.7898700833320618,
-0.24600350856781006,
-0.34675124287605286,
-0.4355449080467224,
0.09019949287176132,
-0.6047924757003784,
0.4075722098350525,... |
Part 1. Definition
In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Part 2. Example
Alterations of the architecture of cerebral white matter in the developing human brain can affect cortical development and result in functional... | A cohort study of the risk of cervical intraepithelial neoplasia grade 2 or 3 in relation to papillomavirus infection. | 7 | NIv2 | task1586_scifact_title_generation | fs_opt | [
0.4806440472602844,
0.23760688304901123,
-0.5836215019226074,
0.4678952991962433,
0.39368346333503723,
0.23973354697227478,
0.4881135821342468,
1.0481784343719482,
0.6219935417175293,
0.31060561537742615,
-0.3842783570289612,
0.5562018156051636,
-0.41045886278152466,
0.25936171412467957,
... |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Example input: Co... | B | 3 | NIv2 | task385_socialiqa_incorrect_answer_generation | fs_opt | [
0.4681435823440552,
0.7139596939086914,
0.15913841128349304,
0.08262886106967926,
0.06695079803466797,
-0.16502612829208374,
0.6629043817520142,
0.7528138160705566,
-0.09993098676204681,
0.5432820916175842,
-0.5005496740341187,
0.1815265566110611,
-0.035640228539705276,
-0.5000737309455872... |
Teacher: In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Twenty-year-old W... | Answer: Mrs. Lovett. | 2 | NIv2 | task194_duorc_answer_generation | fs_opt | [
0.3993094265460968,
0.46864527463912964,
-0.21898242831230164,
-0.41465136408805847,
0.5347246527671814,
0.32933878898620605,
0.5221296548843384,
0.7276632785797119,
-0.15840989351272583,
0.3237925171852112,
0.03609706088900566,
0.3067708909511566,
-0.7155705690383911,
0.12225700914859772,... |
Instructions: Given a real-life anecdote of a complex ethical situation, judge whether or not a specific person is wrong here. Answer 'not answerable' if more information is required and 'answerable' if all the information is sufficient to answer who is wrong in this situation.
Input: Couldn't find a better way to phra... | answerable | 3 | NIv2 | task503_scruples_anecdotes_isanswerable | zs_opt | [
0.9590225219726562,
0.340652197599411,
-0.15533412992954254,
-0.6379642486572266,
0.3965349495410919,
-1.1211525201797485,
0.959952712059021,
0.3060067296028137,
-0.08691226691007614,
-0.05552339181303978,
0.07451526820659637,
0.0827021449804306,
-0.5209061503410339,
0.14498013257980347,
... |
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... | Yes | 9 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
0.3586583733558655,
-0.12334620952606201,
0.6625585556030273,
-0.3690432906150818,
-0.2528970241546631,
-1.2202469110488892,
0.7853842973709106,
0.5224825739860535,
-0.6318262219429016,
-0.6721198558807373,
0.1523560881614685,
-0.42682456970214844,
-0.7610650658607483,
-0.02509121969342231... |
You will be given a definition of a task first, then some input of the task.
In this task your given a passage and a question in Catalan, you must answer the question based on the passage. The answer to the question can be extracted directly from the passage. The question will have a single correct answer. The answer w... | Entre els anys 1815 i 1822 | 1 | NIv2 | task837_viquiquad_answer_generation | zs_opt | [
1.2383159399032593,
0.5791192054748535,
-0.5233238935470581,
0.9426319599151611,
0.17602235078811646,
-0.5754971504211426,
0.9509769678115845,
0.08583509922027588,
-0.10641419887542725,
0.19583964347839355,
0.0070214602164924145,
0.6557536125183105,
-0.5123900175094604,
-0.3388077318668365... |
Definition: Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Input: I purchased this T.V. from Costco and left it in the box for about 6 months before deciding to mount it on the kitchen wall. All well and good for about two months and then I discovered a thi... | DISAPPOINTING PROBLEM | 2 | NIv2 | task1342_amazon_us_reviews_title | zs_opt | [
-0.41768956184387207,
-0.1762494444847107,
-0.16645550727844238,
-0.8782464265823364,
0.6965959072113037,
0.18990015983581543,
0.11075258255004883,
0.6558349132537842,
0.11788889765739441,
0.4545252323150635,
0.6448679566383362,
0.35684478282928467,
-0.5233400464057922,
-0.1965625882148742... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Let me give you an example: 地球が今よりも無垢だった時代を訪れたかのようでした
The answer to this example can be: كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض
Here is why: The Japanese sentence is correctly translated into Arabic, because th... | ذهب وعمل في مصنع | 8 | NIv2 | task1224_ted_translation_ja_ar | fs_opt | [
-0.0624503493309021,
0.7628659009933472,
-0.5669938921928406,
-0.21814939379692078,
-0.724899411201477,
-0.38962578773498535,
0.33320701122283936,
-0.15750208497047424,
-0.19069811701774597,
0.3997889757156372,
-0.8167155981063843,
-0.03227247670292854,
-0.37770187854766846,
0.380939126014... |
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Ex Input:
Dicho sea de paso, es todavía más asombroso que el Consejo no haya intervenido.
Ex Output:
And let ... | I believe I am one of the few members of this Parliament to have stood beside a production line and assembled cars.
| 1 | NIv2 | task531_europarl_es_en_translation | fs_opt | [
-0.07901619374752045,
0.29475900530815125,
0.29259592294692993,
0.009390367195010185,
-0.12667980790138245,
-0.4802705645561218,
0.6871761679649353,
0.8016284108161926,
-0.2577859163284302,
0.48279786109924316,
-0.09933023154735565,
0.41332024335861206,
-0.7213730812072754,
-0.260306715965... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Example Input: Vi parlerò di quattro livelli di reazione che abbiamo di fronte alla violenza. Il primo livello, e andrò in ordine dal più debole al più forte.
Example Output: Vou falar-vos de quatro níveis de resposta ci... | "Tiraram milhares de milhões de pessoas da pobreza." Quem disse isto?
| 3 | NIv2 | task1255_ted_translation_it_pt | fs_opt | [
0.08007467538118362,
1.1698484420776367,
0.08932051062583923,
-0.40204012393951416,
-0.27180278301239014,
-0.6993027329444885,
0.48260655999183655,
1.03069269657135,
0.5118010640144348,
-0.5094629526138306,
-1.1638046503067017,
0.7609925270080566,
-0.6900842189788818,
-0.005822456441819668... |
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_suitcase
****
| 4 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.3966640830039978,
-0.5492681860923767,
-0.728286862373352,
-0.28460103273391724,
-0.27534064650535583,
-0.48350727558135986,
-0.13127346336841583,
0.5523703098297119,
0.17157521843910217,
-0.18390774726867676,
-0.5063657760620117,
0.7028626799583435,
0.015981217846274376,
-0.035764202475... |
In this task, you will be presented with a text and a pronoun. You should write an implausible answer to the question of what is the pronoun's reference. Even though there exist multiple wrong answers, we only need a single wrong answer. Position of the pronoun in the text is showed within two "_"s.
Example Input: Onl... | Diane
| 3 | NIv2 | task331_gap_incorrect_answer_generation | fs_opt | [
0.3678031861782074,
0.6269837617874146,
-0.4011651277542114,
0.3051569163799286,
0.7636712193489075,
-0.9531808495521545,
0.6080734729766846,
1.1751556396484375,
0.10423547029495239,
0.07124047726392746,
-0.43770936131477356,
0.8795311450958252,
-0.36175745725631714,
-0.10723468661308289,
... |
TASK DEFINITION: In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or... | Inversion
| 8 | NIv2 | task516_senteval_conjoints_inversion | fs_opt | [
-0.2910149097442627,
0.8605377674102783,
0.3454051911830902,
0.023364484310150146,
0.06523516029119492,
-0.3474496304988861,
0.6633797883987427,
0.5732306241989136,
-0.3590034246444702,
-0.25197693705558777,
-0.7040051817893982,
-0.16006338596343994,
-0.6623821258544922,
-0.260545402765274... |
Detailed Instructions: You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
Q: catherine has 18 bottle c... | 3 | 9 | NIv2 | task864_asdiv_singleop_question_answering | zs_opt | [
0.3655713200569153,
1.0759289264678955,
-0.6435985565185547,
-0.8399844765663147,
-0.4874805808067322,
-0.5047547817230225,
0.4177442193031311,
0.1361331194639206,
0.165104478597641,
-0.3317742943763733,
-0.06073003634810448,
-0.17530004680156708,
-0.4942646622657776,
0.037993624806404114,... |
instruction:
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.
question:
উজবেকিস্তানের সামারকন্দে গত ১২ ও ১৩ই জানুয়ারি বিদেশ মন্ত্রী পর্যায়ের প্রথম ভারত – মধ্য এশিয়া আলোচনা আয়োজনের বিষয়টিকে সমর্থন জ... | ਨਰਸਿਮਹਾ ਰਾਓ ਦੀ ਜਯੰਤੀ ਉੱਤੇ ਉਨ੍ਹਾਂ ਨੂੰ ਯਾਦ ਕੀਤਾ
| 9 | NIv2 | task1025_pib_translation_bengali_punjabi | fs_opt | [
-0.12238159030675888,
0.06296366453170776,
-0.09364114701747894,
0.11827170848846436,
0.09063732624053955,
-0.5366607904434204,
1.0266722440719604,
0.010179216042160988,
-0.7383049726486206,
0.25636911392211914,
-0.5821199417114258,
0.09950044006109238,
-0.4342472553253174,
0.5072401762008... |
Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be contained in the given paragrap... | They added a unit any time a new family was made through marriage.
| 5 | NIv2 | task054_multirc_write_correct_answer | fs_opt | [
0.0669756531715393,
0.01123376376926899,
-0.9755855798721313,
0.1923769861459732,
0.5893509984016418,
-0.49501222372055054,
0.5849984884262085,
1.0227551460266113,
0.09498734772205353,
-0.17741647362709045,
0.09157214313745499,
0.6799135208129883,
-1.0590988397598267,
0.4284859895706177,
... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Hay otro historial de juego que creo que es un trabajo en progreso.
C'è un'altra storia di gioco che penso sia ancora in corso.
Entonces ¿qué hicimos al respecto?
Quindi, cosa facciamo?
Cada una de las ciudades estadouni... | Ci sono TUTTE le città.
| 0 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.9429044723510742,
0.6038509607315063,
-0.47908633947372437,
0.2784121036529541,
-0.4391396641731262,
-0.08574432879686356,
0.5094496011734009,
1.21846604347229,
0.05180768296122551,
-0.8706220388412476,
-0.020952876657247543,
0.2703356444835663,
-0.23380827903747559,
0.0501844696700573,... |
Given the task definition and input, reply with output. In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem... | gas up the car | 5 | NIv2 | task595_mocha_answer_generation | zs_opt | [
0.11776493489742279,
1.3552759885787964,
0.04328931123018265,
0.36865949630737305,
0.05826044827699661,
0.22314795851707458,
0.3734513819217682,
0.42282480001449585,
-0.2704576849937439,
-0.046294260770082474,
-0.491065114736557,
0.19364453852176666,
-0.18808923661708832,
0.139063119888305... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
--------
Question: Non podemos solucionar estes problemas a menos que traballemos xuntos.
Answer: Non possiamo risolvere questi problemi senza lavorare insieme.
Question: Ben, cando falaba da mellor comedia e sátira, r... | Da quando io ricordi, il mio lavoro è stato quello di portare la gente nella natura, quindi credo sia ironia della sorte che oggi io abbia l'opportunità di portare la mia esperienza con la natura a questa assemblea.
| 7 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
-0.9361592531204224,
0.7771292924880981,
0.1852298378944397,
-0.5754342079162598,
-0.5614650249481201,
0.2117629051208496,
0.04930873215198517,
0.1907881796360016,
-0.3388442099094391,
-0.20452621579170227,
-0.8683735728263855,
0.30120351910591125,
-0.08173975348472595,
0.31299030780792236... |
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
[117.024, 100.819, 216.325, 161.146, 87.241] | [0.171 0.148 0.317 0.236 0.128] | 0 | NIv2 | task093_conala_normalize_lists | zs_opt | [
-0.544617772102356,
0.710553765296936,
-0.5928176641464233,
-1.4712581634521484,
-0.19170385599136353,
0.3445267081260681,
0.506231427192688,
-0.3209760785102844,
-0.5845264792442322,
-0.04064609855413437,
-0.8908692598342896,
0.508084237575531,
-0.09976895153522491,
-0.24101150035858154,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Example: Media łączyły się z nami.
Example solution: Os "" media "" interligavam-se connosco.
Example explanation: The Polish sentence is correctly translated into Portugese, because the meaning is preserved.
Problem: To r... | Solution: É o resultado de muito prologado e sustentado ativismo político que nós obtemos os regulamentos certos, e obtemos o comportamento certo das companhias. | 5 | NIv2 | task1264_ted_translation_pl_pt | fs_opt | [
0.034817636013031006,
1.0944771766662598,
0.11888909339904785,
-0.32470548152923584,
-0.4889860451221466,
-0.5085127353668213,
0.7104591727256775,
-0.03663445636630058,
0.4093151092529297,
-0.2470037341117859,
-0.41433119773864746,
0.4572907090187073,
-0.9402685165405273,
-0.20516091585159... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Q: Sentence 1: Also, all individual health insurance cov... | no | 9 | NIv2 | task199_mnli_classification | zs_opt | [
-0.741448700428009,
0.6628397703170776,
0.7557119131088257,
-0.7583391070365906,
0.026044799014925957,
-0.9377727508544922,
0.6048136949539185,
1.169426441192627,
0.3647211790084839,
0.37860727310180664,
-0.4431511163711548,
-0.518166720867157,
-0.9508563280105591,
0.07147033512592316,
0... |
Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
Q: full-time
A: part-time
****
Q: depressant
A: stimulative
****
Q: plucked
A: | bowed
****
| 4 | NIv2 | task1508_wordnet_antonyms | fs_opt | [
0.15362030267715454,
1.5072057247161865,
0.35440772771835327,
-0.5128238201141357,
-0.5239213705062866,
-1.1231309175491333,
-0.07732570171356201,
0.41413918137550354,
0.40165334939956665,
-0.2662559747695923,
-0.4722946584224701,
-0.2856018543243408,
-1.2529559135437012,
0.282567709684371... |
Q: 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.
Context: To investigate the association of viral infections and febrile seizures (FS).', 'From April 1998 to April 2002, a prospective, populatio... | Our study suggests a relation between recurrent FS and influenza A. Influenza vaccination should be considered in all children with a history of FS. | 7 | NIv2 | task849_pubmedqa_answer_generation | zs_opt | [
0.5506178736686707,
-0.22193071246147156,
-0.5467833280563354,
-0.3469465970993042,
0.24719378352165222,
-0.18013623356819153,
0.20971497893333435,
0.8520673513412476,
0.25547051429748535,
0.2534750998020172,
-0.30782610177993774,
1.1857233047485352,
-0.11144708096981049,
0.403990447521209... |
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