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 multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
Ex Input:
A learned characteristic could be (A) Eye color (B) a cartwheel (C) freckles (D) Hair color
Ex Output:
B
Ex Input:
A person rescues a small chipmunk an... | C
| 1 | NIv2 | task1286_openbookqa_question_answering | fs_opt | [
-0.26092272996902466,
0.34218525886535645,
-0.017027365043759346,
-0.21362122893333435,
-0.7247648239135742,
-0.5001490116119385,
0.4390437602996826,
0.7903478741645813,
-0.053543537855148315,
-0.008966946043074131,
-0.4054786264896393,
-0.6494480967521667,
-0.1304045021533966,
-0.09423758... |
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Example input: English: Resumption of the session
Spanish: Reanudación del período de sesiones
Example output: Yes
Example exp... | Yes | 3 | NIv2 | task532_europarl_en-es_classification | fs_opt | [
0.2717191278934479,
0.6227141618728638,
0.2786347568035126,
-0.004996257834136486,
0.02228158712387085,
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1.1137529611587524,
-0.2007301151752472,
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-0.04844558984041214,
0.1635734736919403,
-0.597806990146637,
0.08654740452766418,
... |
Definition: In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Input: What's NOT to like??? \nBeautiful, clean, astoundingly good beds/linens, huge, well-equipped... | POSITIVE | 2 | NIv2 | task475_yelp_polarity_classification | zs_opt | [
-0.5228906273841858,
0.2553153336048126,
-0.22009289264678955,
0.4396054148674011,
0.33132681250572205,
-0.5277248620986938,
0.19015364348888397,
0.941601574420929,
-0.014491213485598564,
0.3015798032283783,
0.33648306131362915,
0.4231209456920624,
-0.48339080810546875,
0.04566404968500137... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if... | no | 1 | NIv2 | task242_tweetqa_classification | zs_opt | [
-1.1108325719833374,
0.01681915484368801,
0.4320243000984192,
0.08768075704574585,
0.07106621563434601,
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-0.06962589919567108,
-0.3516086935997009,
-0.3115323781967163,
0.19671189785003662,
-0.0110148247331380... |
instruction:
In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
question:
Context: InsideHoops.com NBA @InsideHoopsThe Philadelphia 76ers signed guard Chasson Randle to a second 10-day contract today:... | autralia
| 9 | NIv2 | task239_tweetqa_answer_generation | fs_opt | [
0.3653590679168701,
0.29867562651634216,
0.22629010677337646,
-0.09951196610927582,
-0.4358583688735962,
-0.004781194031238556,
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0.19085001945495605,
-0.32015490531921387,
-0.17592813074588776,
-0.31231310963630676,
-0.1737315... |
Instructions: A text is given in English. Translate it from the English language to the Telugu language. The translation must not omit or add information to the original sentence.
Input: Bharat Mata ki Jai.
Output: | భారత్ మాతాకీ జయ్, | 3 | NIv2 | task1047_pib_translation_english_telugu | zs_opt | [
0.3120189905166626,
1.142066478729248,
-0.6623165607452393,
1.273622751235962,
-0.006340456195175648,
-1.3487812280654907,
-0.020043229684233665,
0.34090298414230347,
0.007718384265899658,
-0.09061150252819061,
-0.287634938955307,
0.15239058434963226,
-0.4556807279586792,
0.246509134769439... |
You are given a statement written in Hindi. 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 .
Let me give you an example: Statement: सिग्नेचर केल्विन क्लेन अंडरवियर बुटीक, ब्यूनस आयर्स, टोरंटो, मेक्सिको सिटी, ... | छपरा | 8 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | fs_opt | [
0.29588279128074646,
0.5008863806724548,
-0.32834815979003906,
-0.48051175475120544,
-0.045125097036361694,
-0.0638192817568779,
-0.3602968752384186,
0.86187744140625,
0.24619144201278687,
-0.13891693949699402,
0.4081551432609558,
0.14663392305374146,
-0.7308931946754456,
-0.49225190281867... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Q: فالثلج تحول الى جليد منذ 15800 عام اي عندما اكتشف اجدادنا لاول مرة الاصباغ واعتبروها سبق علمي كبير ساهم في نشر الابجديات واللغات
A: | הקרח נוצר משלג לפני 15800 שנים, כשאבותינו מרחו את עצמם בצבע ושקלו את הטכנולוגיה החדשה והרדיקלית של אותיות. | 9 | NIv2 | task1233_ted_translation_ar_he | zs_opt | [
-0.705875039100647,
0.5883586406707764,
0.02293955720961094,
0.2756209969520569,
-0.5277113914489746,
-0.33130738139152527,
0.2806566655635834,
0.14302507042884827,
0.3143389821052551,
-1.0775539875030518,
-0.06528614461421967,
-0.2707013487815857,
-0.7707895040512085,
0.12470745295286179,... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
[Q]: That didn't happen before. There it goes.
[A]: それまでなかったことです
[Q]: What can we do to make sure that all the disruptors, all the minority voices in this organization, speak up and are heard?
[A]: どうすれば組織において常識破りの人達や少数... | トリクルダウン経済論の最もタチが悪い点は金持ちがもっと金持ちになれば皆が幸せになるというその主張ではありません
| 5 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.06731799989938736,
0.24425742030143738,
-0.14258579909801483,
-0.4039310812950134,
-0.39817315340042114,
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0.24409228563308716,
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-0.43093886971473694,
-0.2632843255996704,
-0.31865590810775757,
-0.8154944181442261,
-0.047102890908... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surpris... | No emotion,No emotion,No emotion,No emotion,No emotion,No emotion | 4 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
-0.5898006558418274,
0.6687085628509521,
0.05957644060254097,
-0.3557071089744568,
0.08718226850032806,
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0.5345485806465149,
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-0.3547009229660034,
-0.11522246897220612,
-0.6617280840873718,
-0.4350372552871704,
0.495498538017272... |
Q: In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Sentence: 'men holding skateboards are walking down a street'. How many words end with the letter 't' in the sentence.
A: | 1 | 7 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
0.5796300768852234,
0.6371755599975586,
-0.4935399293899536,
-0.24803850054740906,
0.3036514222621918,
-0.29752981662750244,
-0.5982069969177246,
-0.24516291916370392,
0.33103910088539124,
-0.48001083731651306,
-0.29396867752075195,
-0.027184102684259415,
-0.5334773063659668,
-0.0952809378... |
Definition: In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link information to ... | How long did the battle where Roussel de Bailleul refused to fight last? | 2 | NIv2 | task235_iirc_question_from_subtext_answer_generation | zs_opt | [
0.17993345856666565,
0.7417418956756592,
-0.183186337351799,
-0.004988327622413635,
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-0.27674442529678345,
0.750259280204773,
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0.23493747413158417,
-0.22792211174964905,
-0.301785409450531,
0.05216646194458008,
-0.8181508779525757,
0.64320969581604,
... |
TASK DEFINITION: You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
PROBLEM: Dzięki temu jest nas 3000.
SOLUTION: Ahora mismo tenemos la fuerza de 3000.
PROBLEM: Czemu? Bo chcą opuścić osadę i szukać roboty w mieście.
SOLUTION: ¿Por qué? Porque quieren dejar la aldea e ir ... | Pueden empezar a analizar los datos.
| 8 | NIv2 | task1258_ted_translation_pl_es | fs_opt | [
-0.8917335867881775,
0.8984522819519043,
-0.6340856552124023,
-0.7091106176376343,
-0.6724402904510498,
-0.49541616439819336,
1.2420121431350708,
-0.008175848983228207,
0.25035515427589417,
-0.21816964447498322,
-0.4023107886314392,
0.6711907982826233,
-0.2881172001361847,
-0.2656518816947... |
Teacher:You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Teacher: Now, understand the problem? Solve this instance: Y puedo entenderlo, porque Washington, D.C.
Student: | ويمكنني أن أفهمه ، وذلك لأن العاصمة واشنطون دي سي. | 6 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
0.04167042300105095,
0.9065158367156982,
0.5439286231994629,
-1.4873478412628174,
-0.1580687314271927,
-0.3499612808227539,
-0.09022170305252075,
0.6273308396339417,
0.8779830932617188,
-0.0318591371178627,
0.27626651525497437,
0.07413068413734436,
-1.1234991550445557,
-0.4490319490432739,... |
Teacher:In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the... | NOT | 6 | NIv2 | task286_olid_offense_judgment | zs_opt | [
-1.470226764678955,
0.23918208479881287,
0.9009003639221191,
0.2407013475894928,
-0.23949167132377625,
-0.39423954486846924,
0.17690016329288483,
0.7448503971099854,
0.5163860321044922,
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0.6222389936447144,
-0.016000747680664062,
-0.009469493292272091,
-1.1394112110137... |
Detailed Instructions: In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answe... | Question: Who is the actor for Richard Steven Valenzuela?, Answer: Lou Diamond Phillips | 8 | NIv2 | task182_duorc_question_generation | zs_opt | [
1.0658369064331055,
0.5123605132102966,
-0.7481412291526794,
0.04607857018709183,
0.15678595006465912,
0.1292763203382492,
0.8977806568145752,
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0.4324234426021576,
-0.3939681947231293,
0.2669360041618347,
-0.06840133666992188,
0.15436099469661713,
-... |
Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, mil... | food
| 1 | NIv2 | task143_odd-man-out_classification_generate_category | fs_opt | [
-0.01144632138311863,
-0.09168988466262817,
-0.432458758354187,
0.4986352324485779,
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0.06473223119974136,
-0.5123761892318726,
-0.405359745025634... |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Article: My name is Valentine. I lived... | Yes | 0 | NIv2 | task310_race_classification | zs_opt | [
0.4519602656364441,
0.894274115562439,
-0.9492446184158325,
0.20858436822891235,
0.032941706478595734,
-0.727104127407074,
0.7909673452377319,
1.180556297302246,
0.6276957988739014,
0.20038166642189026,
-0.5277984142303467,
0.49917879700660706,
-0.433714896440506,
-0.027517329901456833,
... |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Input: أسميتها "" رِيح "" (ضحك) لن يكون جميلاً, أعتقد, عندما تتواجد سيدة مزرقة الشعر في غرفة انتظار الطبيب تقلب المجلة على الطاولة وضرطت, قليلا فقط, وخجلت بقوة
Output: | نامش "" باد معده "" است. (صدای خنده) با خودم فکر می کنم: چه جالب می شد اگر آن خانم موآبی در سالن انتظار مطب دکتر وقتی خم می شود روی میز مجله ها ، بادی دردهد از خودش ، بادی مختصر ، و سرخ سرخ شود از خجالت. | 2 | NIv2 | task1108_ted_translation_ar_fa | zs_opt | [
-0.5099203586578369,
0.5933927297592163,
-0.22257491946220398,
-1.005198359489441,
-0.4768005609512329,
0.2968825697898865,
0.7157721519470215,
0.4381038248538971,
0.8574222922325134,
0.14314596354961395,
-1.1986522674560547,
0.2733047604560852,
-0.4206705689430237,
0.32757824659347534,
... |
Given the task definition and input, reply with output. In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave, your understanding, ... | vigabatrin | 5 | NIv2 | task1447_drug_extraction_ade | zs_opt | [
-0.45873188972473145,
0.010518882423639297,
-0.13505691289901733,
-0.577944278717041,
-0.30082011222839355,
-0.6767626404762268,
0.7856459021568298,
0.5807241201400757,
0.9071891903877258,
-0.521648645401001,
-1.2712740898132324,
-0.08770900964736938,
-0.2593419551849365,
0.468719750642776... |
In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Q: Sentence: 'a bicy... | No | 4 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.28577959537506104,
0.6762218475341797,
0.07049839198589325,
-0.23060733079910278,
-0.15921896696090698,
-0.27932804822921753,
0.1341964602470398,
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-0.17481139302253723,
-0.5338927507400513,
0.32765498757362366,
0.3446565866470337,
-0.01543055381625... |
Part 1. Definition
In this task you are given a premise and two alternatives in Indonesian. 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 o... | 1 | 7 | NIv2 | task1170_xcopa_commonsense_reasoning_id | fs_opt | [
-0.09151241183280945,
0.6454934477806091,
-0.0616370253264904,
-0.025962166488170624,
-0.34069156646728516,
-0.10469522327184677,
0.29305943846702576,
0.17385965585708618,
0.026719242334365845,
0.09790325164794922,
-1.0774576663970947,
0.4709590673446655,
-0.48439306020736694,
-0.050811432... |
Teacher:In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer wi... | against | 6 | NIv2 | task1727_wiqa_what_is_the_effect | zs_opt | [
0.2307252138853073,
0.3675859570503235,
-0.6060590744018555,
-0.13750997185707092,
-0.5695090293884277,
-0.49956607818603516,
0.2646658420562744,
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0.17613887786865234,
-0.33316507935523987,
0.39941346645355225,
-0.8827974796295166,
0.2102550864219665... |
Q: Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
นอกจากประธานาธิบดีกรีกแล้ว รัฐมนตรีสองคนของรัฐบาลกรีก อดีตนายกรัฐมนตรีของกรีก และนักธุรกิจชาวกรีกมากมาย และ บาทหลวงออร์โธด็อกซ์หลายท่านจากแอฟริกาก็... | また、ギリシャ大統領に加え、ギリシャ政府の２人の大臣、前ギリシャ首相、多くのギリシャ人ビジネスマンおよび、アフリカの正教徒司教らも参列した。 | 7 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
-0.6982740759849548,
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-0.40289026498794556,
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1.0715365409851074,
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-0.5545461177825928,
1.2783721685409546,
-0.9980308413505554,
0.69005095958709... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Robi się je jak gdyby wbrew oporowi i nieufności po stronie osoby udzielającej wywiadu.
Output: | זה בעצם מול התנגדות וזהירות מצידו של המרואיין. | 1 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-0.7132608890533447,
0.7155859470367432,
0.031453318893909454,
0.408170223236084,
-0.28689420223236084,
0.2542968988418579,
1.2236239910125732,
-0.6400502324104309,
1.108168601989746,
-0.32240381836891174,
-0.6361010074615479,
-0.0645870566368103,
-0.7338279485702515,
0.015009043738245964,... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Q: お金を払えば喜んで占うと言うのです
A: | Oh, they gladly sell you that, yes. | 4 | NIv2 | task1222_ted_translation_ja_en | zs_opt | [
-0.47885292768478394,
0.602935791015625,
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-0.672648549079895,
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0.6927671432495117,
-0.08011563122272491,
0.5246869921684265,
-0.6122574806213379,
0.5916414856910706,
-0.20012721419334412,
-0.5937479734420776,
0.21563227474689484... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Nieco starsze dzieci zaczynają kłamać. | Algumas crianças, quando ficam um pouco mais velhas, começam a mentir. | 0 | NIv2 | task1264_ted_translation_pl_pt | zs_opt | [
-0.798197865486145,
1.195117712020874,
-0.1174059733748436,
-0.7312529683113098,
-0.7822201251983643,
0.806086540222168,
0.4478590786457062,
0.5453909635543823,
0.24460342526435852,
-0.5725265741348267,
-0.5672357678413391,
-0.07637064903974533,
-0.9935133457183838,
0.49137789011001587,
... |
Given the task definition and input, reply with output. 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 find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string.... | eXdO | 5 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.31659722328186035,
0.9378260970115662,
-0.4071184992790222,
-0.3507609963417053,
-0.13632351160049438,
0.041220054030418396,
0.5068000555038452,
0.1447894275188446,
0.0147290313616395,
0.02800614759325981,
-0.8768916726112366,
-0.1984604299068451,
0.019438818097114563,
-0.24134990572929... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Q: Title: Financially Dumb. Sentence 1: Jennifer had a lot ... | She spread it on her cheeks and called herself a princess. | 4 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.9411535263061523,
0.6195653080940247,
0.21991795301437378,
-0.5118762850761414,
-0.10125727951526642,
0.49515146017074585,
0.3166355490684509,
0.6102042198181152,
0.13460101187229156,
0.03359206020832062,
-0.49082499742507935,
0.19645585119724274,
-0.8191877603530884,
0.1055446714162826... |
Teacher:In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Teacher: Now, understand the problem? Solve this instance: While this process moved along, diplomacy co... | Yes | 6 | NIv2 | task1392_superglue_multirc_answer_verification | zs_opt | [
-0.11111690104007721,
0.33433473110198975,
-0.293346107006073,
-0.2550097107887268,
0.024234537035226822,
0.08195410668849945,
0.9357483386993408,
0.38341718912124634,
-0.03619525954127312,
0.4984140992164612,
0.029349464923143387,
1.026606559753418,
-0.5372971296310425,
0.1942841708660125... |
Detailed Instructions: In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative ef... | against | 4 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
-0.4814666509628296,
0.19425562024116516,
-0.5854235887527466,
-0.48906147480010986,
-0.36554503440856934,
-0.7735180854797363,
-0.18306177854537964,
1.3529103994369507,
-0.19659079611301422,
-0.1426674723625183,
-0.41088610887527466,
-0.12186598777770996,
-1.1642885208129883,
0.2508715689... |
In this task, you are given a question. Your task is to generate an answer that is relevant to the question.
Example input: Are you willing to do shopping with me?
Example output: I only like to shop during festivals
Example explanation: Based on the given question and answer, the dialogue is about shopping, so the qu... | It makes me want to get down. | 3 | NIv2 | task565_circa_answer_generation | fs_opt | [
-0.16215680539608002,
0.284696489572525,
0.036968305706977844,
0.3550660312175751,
-0.9665782451629639,
0.27449122071266174,
1.0930043458938599,
-0.997799813747406,
-0.29392170906066895,
0.05621908977627754,
-0.26368916034698486,
0.20178896188735962,
-1.1001248359680176,
0.4327760338783264... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence.
Problem:It is requested that claimants may approach refund section in Divisional Railway Managers Office at Thycaud, Trivandrum ... | ഇവ തീര്പ്പാക്കുന്നതിനു വേണ്ടി ബന്ധപ്പെട്ടവര് പതിനഞ്ച് ദിവസത്തിനകം ആവശ്യമായ രേഖകളുമായി തൈക്കാടുള്ള റെയില്വെ ഡിവിഷണല് ഓഫീസില് എത്താത്ത പക്ഷം ഇവ റീഫണ്ട് ആവശ്യമില്ലാത്തവയായി കണക്കാക്കുന്നതാണ്. | 8 | NIv2 | task1021_pib_translation_english_malayalam | zs_opt | [
0.22378170490264893,
0.6100173592567444,
0.7575845122337341,
-0.19438202679157257,
0.2584131360054016,
-0.6662132740020752,
-0.32150936126708984,
-0.1666903793811798,
-0.0893298089504242,
0.17099151015281677,
-0.018561016768217087,
0.1238500326871872,
-0.3636932671070099,
0.828646719455719... |
Detailed Instructions: Given a hotel review and the corresponding polarity of review (i.e., Negative or Positive) identify if the polarity is correct. Write 'true' if it's correct, 'false' otherwise.
See one example below:
Problem: Review: I stayed at the Hilton Chicago for my cousins wedding. The service was impeccabl... | true | 4 | NIv2 | task903_deceptive_opinion_spam_classification | fs_opt | [
-0.23885555565357208,
-0.15915076434612274,
-0.5825700759887695,
0.6460162401199341,
-0.21270529925823212,
-1.0673511028289795,
0.5991514921188354,
0.9434996843338013,
0.4606759548187256,
-0.29065144062042236,
0.2890155613422394,
-0.103079654276371,
-0.6662682294845581,
0.08781204372644424... |
Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this co... | PRON | 3 | NIv2 | task1168_brown_coarse_pos_tagging | zs_opt | [
0.4708871841430664,
0.2563098073005676,
-0.5755569934844971,
0.38969048857688904,
-0.34972238540649414,
-0.9990800619125366,
0.5978140830993652,
0.5394802093505859,
-0.058380138128995895,
0.03990667313337326,
-0.6640551686286926,
0.3495982885360718,
-0.8311382532119751,
0.2832418978214264,... |
Detailed Instructions: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Problem:Review: I went to a screening of thi... | yes | 8 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-1.300325632095337,
-0.003981393296271563,
0.33756232261657715,
0.22718936204910278,
0.3114739954471588,
-0.37286263704299927,
0.4919084906578064,
0.8714383840560913,
0.4506155252456665,
0.26252493262290955,
-0.7638474702835083,
-0.18282565474510193,
-0.26431983709335327,
-0.22608822584152... |
Detailed Instructions: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do ... | Address info. | 8 | NIv2 | task165_mcscript_question_answering_commonsense | zs_opt | [
0.23942318558692932,
0.43638354539871216,
0.035360440611839294,
0.27479374408721924,
-0.4488357603549957,
-0.8058091998100281,
0.6884036660194397,
0.5747371315956116,
0.2647075355052948,
0.3727313280105591,
-0.4896385669708252,
0.1849997192621231,
-0.6376641988754272,
-0.051704034209251404... |
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , a... | Location.
| 0 | NIv2 | task046_miscellaneous_question_typing | fs_opt | [
0.5840973258018494,
0.07794364541769028,
-0.23687410354614258,
0.26541638374328613,
-0.029541900381445885,
-1.1307423114776611,
0.826915979385376,
0.8301354646682739,
-0.38717973232269287,
-0.3678479790687561,
-0.2825988531112671,
0.7331293821334839,
-0.683173656463623,
0.15257856249809265... |
In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
Example: Hi. I want information about Namibia.
Nmbia is a country in southern Africa.
Do you have information about the media there?... | Solution: Sure! Kolkata, which is under the jurisdiction of the Kolkata Municipal Corporation (KMC) has a area of 205km2. | 5 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
-0.003460794221609831,
0.503382682800293,
-0.1303052306175232,
-0.4312952756881714,
-0.40065687894821167,
-0.6308361291885376,
0.42251354455947876,
-0.19967731833457947,
0.07858312129974365,
0.07996828854084015,
-0.5254596471786499,
-0.41836532950401306,
-0.5130742192268372,
0.259297370910... |
You will be given a definition of a task first, then some input of the task.
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, Pers... | Yes | 1 | NIv2 | task1209_atomic_classification_objectuse | zs_opt | [
0.07581089437007904,
0.29710832238197327,
0.08010340481996536,
-0.3312491178512573,
-0.3791999816894531,
-1.0100009441375732,
0.849679708480835,
0.43940407037734985,
-0.8200719952583313,
-0.18833473324775696,
-0.40653514862060547,
-0.5804699659347534,
-0.014760187827050686,
0.0134988687932... |
Q: Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
entity: pickets/palings
before: plain
after: painted
attr: color
A: | color of pickets/palings was plain before and painted afterwards | 7 | NIv2 | task1631_openpi_answer_generation | zs_opt | [
-0.6100785732269287,
0.6990317702293396,
-0.04561707377433777,
0.1996542513370514,
-0.6766614317893982,
-1.7869691848754883,
0.07044161856174469,
0.6099886894226074,
0.15771150588989258,
0.23389604687690735,
0.008036792278289795,
0.1608392298221588,
-0.4449818432331085,
0.0072453822940588,... |
Instructions: Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate ... | No | 3 | NIv2 | task496_semeval_answer_generation | zs_opt | [
-0.44903433322906494,
0.172296404838562,
0.21466930210590363,
-0.15721212327480316,
-1.0044755935668945,
-0.9572262763977051,
0.04213625192642212,
0.6784422993659973,
0.0811016634106636,
-0.30983129143714905,
-0.5529234409332275,
-0.06574990600347519,
-0.44878673553466797,
-0.4072300791740... |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
Q:... | Neither
****
| 4 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.28830522298812866,
-0.012511441484093666,
0.40366142988204956,
0.6791590452194214,
0.09898900985717773,
-1.3278510570526123,
-0.29005080461502075,
0.6524071097373962,
0.00980690773576498,
0.29953229427337646,
-0.4523423910140991,
-0.6079005599021912,
-0.5365830659866333,
-0.945959150791... |
Detailed Instructions: In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Q: 5, 6, ['3275', '1127', '6209', 'L', 'e'... | e, 8093, 2363, 2271 | 9 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
0.3987516164779663,
0.2073732614517212,
-0.6278855204582214,
-0.6515578031539917,
-0.5965563058853149,
-0.5045138001441956,
0.6559954881668091,
-0.15161290764808655,
-0.062296248972415924,
0.05677775293588638,
-0.65785813331604,
-0.12770551443099976,
-0.25285598635673523,
0.640468001365661... |
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Sentence1: Dave was a scientist. Sentence2: Dave wanted to make a great scientific discovery. Sentence3: Dave worked with algae to make electricity. Sentence4: Dave d... | Parents, Alex
| 0 | NIv2 | task292_storycommonsense_character_text_generation | fs_opt | [
0.45068925619125366,
0.05383377522230148,
-0.23742184042930603,
-0.772263765335083,
-0.27331671118736267,
-0.45772215723991394,
0.4229811429977417,
0.8464545011520386,
0.16030511260032654,
0.09121157228946686,
-0.6752126216888428,
-0.4936072826385498,
0.04540698602795601,
0.168086946010589... |
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
[Q]: Personality: I am dating my boss.
My favorite flower is a daisy.
I work at a real estat... | I am a chemist. On second thought, a beard might not be a good idea for me...
| 5 | NIv2 | task1730_personachat_choose_next | fs_opt | [
0.11938132345676422,
0.36778876185417175,
-0.3035573661327362,
-0.06915253400802612,
-0.05861791968345642,
-0.2931142747402191,
0.7318394780158997,
0.3974013328552246,
0.0025479760952293873,
-0.15952663123607635,
-0.33780211210250854,
-0.1384894847869873,
-0.1642497181892395,
-0.0314552448... |
You will be given a definition of a task first, then some input of the task.
In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes... | Inversion | 1 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.8521277904510498,
0.15380866825580597,
0.5886015892028809,
0.08842092007398605,
0.07237560302019119,
0.03555142879486084,
0.7448396682739258,
0.8498454093933105,
0.4257182478904724,
-0.03596676513552666,
-1.1600925922393799,
-0.8562374711036682,
-0.2555868327617645,
-0.29276686906814575... |
Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/GCD/LCM,... | -3 | 6 | NIv2 | task835_mathdataset_answer_generation | fs_opt | [
-0.461228609085083,
0.49480128288269043,
0.06478726863861084,
-0.6862305402755737,
0.10774993896484375,
-0.19725914299488068,
1.0028096437454224,
0.9636590480804443,
0.09382513910531998,
-0.6209884285926819,
-0.4229618310928345,
0.5161556601524353,
-0.501853883266449,
0.4014478027820587,
... |
Part 1. Definition
The input is a tweet which can be Hate Speech, Offensive or Normal tweet. Hate Speech and Offensive tweets target one community. Given such a tweet, output the community targeted in the tweet. The community will be one of the nine values: 'African', 'Islam', 'Jewish', 'Women', 'Refugee', 'Arab', 'Cau... | Refugee | 7 | NIv2 | task1503_hatexplain_classification | fs_opt | [
0.04080112278461456,
0.5389995574951172,
0.0056390357203781605,
0.8238052129745483,
0.08903506398200989,
-0.8827413320541382,
-0.07290901988744736,
1.2437407970428467,
0.11300984025001526,
0.7652743458747864,
-0.19943219423294067,
-0.25715503096580505,
-0.42519494891166687,
-0.990695416927... |
Detailed Instructions: Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
See one example below:
Problem: Tagalog sentence: Si Roger Federer ang unang manlalaro na nanalo ng 20 Grand Slams
Solution: Roger Federer was the first player to ... | Is it possible because I have text in the website that save in jpg. so meaning I have to edit that or recreate a text in spanish version? Is that make sense? | 4 | NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt | [
-0.41704481840133667,
0.21498142182826996,
-0.3927052617073059,
0.18877002596855164,
0.2846728563308716,
-1.0880928039550781,
0.7089207768440247,
1.1061207056045532,
0.026667647063732147,
-0.30344095826148987,
0.10315573215484619,
0.8591980338096619,
-0.9564279317855835,
-0.204310283064842... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Let me give you an example: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
The answer to this example can be: 父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Here is ... | 「私たち」? 「私」でしょ? | 8 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
-0.11937522888183594,
0.21406608819961548,
-0.058677610009908676,
-0.041152529418468475,
-0.18753457069396973,
-0.6363925933837891,
-0.03620526194572449,
0.9034221768379211,
0.6433669328689575,
-0.009726541116833687,
-0.26962950825691223,
0.2080693542957306,
-0.7550457715988159,
-0.1006549... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Context: Our prayers are wi... | given his opinion | 0 | NIv2 | task239_tweetqa_answer_generation | fs_opt | [
-0.17855671048164368,
0.812822163105011,
0.45992401242256165,
-0.2477942556142807,
0.022213399410247803,
-0.25629568099975586,
0.5475763082504272,
0.6617360711097717,
0.11948741227388382,
0.16138865053653717,
-0.3165991008281708,
-0.33109450340270996,
-0.06430938839912415,
0.00361657980829... |
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 | 4 | NIv2 | task066_timetravel_binary_consistency_classification | zs_opt | [
-0.8569583296775818,
0.659319281578064,
0.43115174770355225,
0.038594432175159454,
0.3395504355430603,
-0.24557924270629883,
0.2962883710861206,
1.134505033493042,
0.0052142092026770115,
-0.1472466140985489,
-0.12054559588432312,
-0.19751191139221191,
-0.5777208805084229,
-0.15898713469505... |
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... | Cookies and tracking elements | 1 | NIv2 | task684_online_privacy_policy_text_information_type_generation | zs_opt | [
-0.8409451246261597,
-0.12422934919595718,
-0.402243435382843,
0.21868011355400085,
-0.6048181653022766,
-0.40009135007858276,
0.12813526391983032,
0.30868199467658997,
0.06369677186012268,
0.7211515307426453,
0.2177385687828064,
-0.10008011758327484,
-0.512299656867981,
-0.474258571863174... |
In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
Ex Input:
[3, 0, 0, 3, 6, 7, 3]
Ex Output:
[6, 7]
Ex Input:
[1, 3, 5, 3,... | [0, 3, 2, 5]
| 1 | NIv2 | task097_conala_remove_duplicates | fs_opt | [
-0.4037374258041382,
0.44097548723220825,
-0.4777265787124634,
-0.10635840892791748,
0.031054576858878136,
-0.08667013049125671,
1.0362356901168823,
0.3970816731452942,
-0.5547780990600586,
-0.21830758452415466,
-0.8594592213630676,
0.22827152907848358,
0.09766123443841934,
-0.492049038410... |
Detailed Instructions: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separa... | Which character does chris marry in parks and rec?
Ann Perkins | 9 | NIv2 | task671_ambigqa_text_generation | zs_opt | [
-0.39441773295402527,
1.2519251108169556,
-0.5369689464569092,
-0.7006241083145142,
-0.6735419034957886,
-0.3892276883125305,
0.7496949434280396,
0.050522591918706894,
0.3862115442752838,
-0.4142006039619446,
-0.6324070692062378,
0.4235244393348694,
-0.09348094463348389,
0.2198446691036224... |
Detailed Instructions: In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
See one example below:
Problem: English: Details were given b... | Yes | 4 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
-0.569240152835846,
-0.2538141906261444,
0.26465654373168945,
0.017583586275577545,
0.10938536375761032,
-0.7426913976669312,
0.5074293613433838,
0.05875614657998085,
-0.19638806581497192,
-0.37107226252555847,
0.44590792059898376,
0.7434563040733337,
-0.16108247637748718,
0.53530037403106... |
You are given a statement written in Kannada. 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 .
Example input: Statement: ಕೆಂಪು ಸಮುದ್ರವು ಹಿಂದೂ ಮಹಾಸಾಗರದ ಕಡಲಾಚೆಯ <MASK> ಮತ್ತು ಏಷ್ಯಾ ಖಂಡದ ನಡುವೆ ಇರುವ ಸಮುದ್ರವಾಗಿದೆ.... | ಬ್ರಿಟಿಷ | 3 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | fs_opt | [
0.5839044451713562,
0.17139461636543274,
-0.5629898309707642,
-0.49731820821762085,
-0.34970802068710327,
-0.47332310676574707,
0.25788986682891846,
0.5734233856201172,
-0.12140343338251114,
0.2558504343032837,
0.21368414163589478,
-0.24744637310504913,
-0.02533060312271118,
-0.28903841972... |
Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
--------
Question: Person... | I love art too which is why I like museums so much.
| 7 | NIv2 | task1729_personachat_generate_next | fs_opt | [
-0.0039564575999975204,
0.3085010051727295,
-0.49649325013160706,
0.6341707110404968,
-0.18242697417736053,
-0.22206225991249084,
0.662886917591095,
0.2670133113861084,
-0.3690977394580841,
-0.2771148681640625,
-0.32686150074005127,
0.023059938102960587,
-0.8803479671478271,
-0.07879970967... |
TASK DEFINITION: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
PROBLEM: ועליתי, וכל שברצוני לעשות זה לצאת מהמים.
SOLUTION: Subín e todo o que quería era saír da agua.
PROBLEM: המקבילה היחידה שמצאנו לכך כאן על כדור הארץ, כאנלוגיה -
SOLUTION: Agora, o único que podemos... | Fose o que fose, aposto que, ademais doutras cousas, esto deuvos un pouco de liberdade, un pouco máis de tempo.
| 8 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.23381531238555908,
0.8865115642547607,
-0.021319463849067688,
-0.31135281920433044,
-0.29666537046432495,
-0.5535376071929932,
1.0159831047058105,
0.44068437814712524,
0.21708199381828308,
-0.28520941734313965,
-0.7487059235572815,
-0.045969925820827484,
-1.2298212051391602,
0.183006256... |
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.
[Q]: how pretty good you i m not well
[A]: sad
[Q]: it's morning or night yes 720 am and it's raining raining mean rainy season or rain fall today
[A]... | sad
| 5 | NIv2 | task517_emo_classify_emotion_of_dialogue | fs_opt | [
-0.5664964914321899,
0.690733790397644,
0.4337664842605591,
-0.6651896238327026,
-0.0037099081091582775,
-1.2217506170272827,
-0.17680352926254272,
0.5164281725883484,
0.1642569601535797,
-0.03787381201982498,
-0.3499225974082947,
-0.33966001868247986,
-0.737844705581665,
-0.32474759221076... |
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.
Example: [1, 2, 3]
Example solution: [0.167, 0.333, 0.500]
Example explanation: The output list sums to 1.0 and has... | Solution: [ 0.378 0.221 -0.079 -0.103 0.439 0.143] | 5 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.05858710780739784,
0.2664751410484314,
-0.9507501721382141,
-0.443633496761322,
0.32058143615722656,
0.08628509938716888,
0.7326827049255371,
0.13742999732494354,
0.055959559977054596,
0.11525551974773407,
-0.8342652916908264,
0.08997836709022522,
-0.2147577404975891,
-0.314312756061553... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Example: what is the first event mentioned?, Context: The Russian Revolution is the series of revolutions in Russia in 1917, which destroyed the Tsarist autocracy and led to the creation of the Sovi... | Solution: the media | 5 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.681444525718689,
0.5380229949951172,
-0.23601680994033813,
-0.19814050197601318,
-0.3385433256626129,
0.27491629123687744,
0.7741062641143799,
1.6020090579986572,
0.49529513716697693,
0.47979024052619934,
-0.5099250078201294,
-0.5275337100028992,
-0.49487820267677307,
0.05645007267594337... |
Part 1. Definition
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.
Part 2. Example
Category: HOMOPHONIC PAIRS
Clue: It's a notation on a percu... | pete best in show me the money | 7 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
-0.25877314805984497,
0.6930562257766724,
-0.4166806936264038,
0.24681733548641205,
0.18308544158935547,
-0.8085939884185791,
0.6936955451965332,
0.16742974519729614,
0.7032927870750427,
0.041347190737724304,
-0.009024059399962425,
0.6373902559280396,
-0.5091724991798401,
-0.35556888580322... |
Instructions: Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is wron... | AUTHOR | 3 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | zs_opt | [
-0.339432030916214,
0.1875954568386078,
0.6706224679946899,
0.28434038162231445,
-0.005893941503018141,
-0.5832453370094299,
0.5540629625320435,
0.00002958020195364952,
0.16658146679401398,
-0.1912386119365692,
0.15392626821994781,
0.24286344647407532,
-0.7067394256591797,
0.13079531490802... |
Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, mil... | moral characteristic | 8 | NIv2 | task143_odd-man-out_classification_generate_category | fs_opt | [
0.18923239409923553,
0.47681504487991333,
-0.33319342136383057,
0.21338339149951935,
0.4782927930355072,
-0.12661463022232056,
-0.5232017636299133,
1.0341922044754028,
0.03729713708162308,
-0.2316838949918747,
-0.3487546443939209,
-0.046004608273506165,
-0.382559210062027,
-0.6021379232406... |
Given the task definition and input, reply with output. In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
(A) thinking Chris Benoit deserves to be in t... | B | 5 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
-0.6685287952423096,
1.1745212078094482,
0.22150230407714844,
0.1693558692932129,
-0.43723660707473755,
-0.23961304128170013,
-0.5358479022979736,
-0.06982827186584473,
0.33007508516311646,
0.030776027590036392,
-0.5651309490203857,
0.21547526121139526,
0.30596935749053955,
-0.552746176719... |
In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
Example: M: I am considering dropping my dancing class. I am not making any progress. W: If I were you, I ... | Solution: (C) Because their car needed repairing. | 5 | NIv2 | task247_dream_answer_generation | fs_opt | [
0.3049136698246002,
0.18483605980873108,
-0.26276612281799316,
-0.4197416305541992,
0.37634289264678955,
-0.33769333362579346,
0.43861842155456543,
0.5641487836837769,
0.1179516538977623,
-0.12484514713287354,
-0.3415178656578064,
-0.046185195446014404,
0.16055475175380707,
-0.540514588356... |
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
[EX Q]: [5179, 's', 7203, 4301, 3441, 'k', 'P', 't', 'r', 3027, 's', 3809, 'u', 'S', 'h', 5087, 'z', 'a', 'b', '3333', '6041', '2765', 'q', '9485', '7697', 'E', '509', 'Q', '1573', '4879', '1197', '4515', 'k', 'c', 'z'... | M, 1603, 1995, 6705, q, p, S, a, C, 8939, k, 9803, f, p, O, m
| 6 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | fs_opt | [
-0.5048983693122864,
0.14457491040229797,
-0.39549383521080017,
-0.36357980966567993,
-0.2525578439235687,
-0.1108989268541336,
0.6229878664016724,
0.5585178136825562,
-0.4022229313850403,
0.27604156732559204,
-0.8113515377044678,
0.3790811002254486,
-0.2580952048301697,
0.2490542531013488... |
Q: Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
"พวกเราไม่สามารถอนุญาตให้รัฐบาลสหรัฐฯ และออสเตรเลียปกปิดบทบาทของ Pine Gap ในสงครามที่ยืดเยื้อในอิรักต่อไปแล้ว" นาย O'Reilly กล่าว
A: | 「我々は米国とオーストラリア政府が進行中のイラク戦争におけるパインギャップの役割を隠し続けるのを許せなかった」とオライリー氏は言った。 | 7 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
-0.5562255382537842,
0.17104631662368774,
0.09436728060245514,
-0.5121040344238281,
0.14477574825286865,
-1.1991221904754639,
0.9488991498947144,
0.8649666905403137,
-0.005260668694972992,
-0.028608594089746475,
-0.42387765645980835,
0.46364760398864746,
-1.31394624710083,
0.22266986966133... |
In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
[Q]: Context: Casey decided they would rather watch TV, so Casey avoided his chores until later.
Answer: lazy
[A]: How would you desc... | What will Others want to do next?
| 5 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
0.17479345202445984,
0.5698419809341431,
-0.23481902480125427,
-0.3558277189731598,
0.6406902074813843,
-0.4526713490486145,
0.4330390393733978,
0.30955544114112854,
0.1058918908238411,
0.39193838834762573,
-0.38868340849876404,
-0.2530372142791748,
-0.752212643623352,
-0.5001084208488464,... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
One example is below.
Q: not just the words . and thats where a great film editor can help a director .
A: فقط کلمات نيستن؛ يک تدوينگر خوب خيلي به کار گردان کمک ميکنه .
Rationale: This is a good example. The above sentence... | حداقل اجازه بديد اسب هامون را بگيريم . | 9 | NIv2 | task658_tep_en_fa_translation | fs_opt | [
-0.7626944184303284,
0.5723689794540405,
-0.215741366147995,
0.05565055087208748,
-0.580132246017456,
-0.614254355430603,
0.8315925598144531,
0.4250495135784149,
0.3610175848007202,
-0.439796507358551,
-0.2937137484550476,
-0.13395380973815918,
-0.48638153076171875,
0.5900622606277466,
0... |
You will be given a definition of a task first, then some input of the task.
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Who played Charlie in the 2005 film Charlie and the Chocolate Factory?
Output: | charlie | 1 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
0.5849208831787109,
0.37865757942199707,
-0.6936380863189697,
0.3203964829444885,
-0.5707335472106934,
0.2646532654762268,
-0.13308395445346832,
0.8696526288986206,
0.005244412459433079,
-0.6008853912353516,
-0.6250766515731812,
-0.5159542560577393,
-0.2793295979499817,
0.22098907828330994... |
Teacher: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 ... | a | 6 | NIv2 | task233_iirc_link_exists_classification | zs_opt | [
-0.0063669513911008835,
-0.17506471276283264,
-0.8651117086410522,
-0.49432218074798584,
-0.8943966627120972,
-0.6361296772956848,
0.5646814107894897,
0.6906886100769043,
-0.4645380973815918,
-0.19323688745498657,
0.09637956321239471,
0.4105733036994934,
-0.7361053824424744,
-0.22235703468... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
Problem:E todos as temos no cérebro.
Solution: | Todos vós as tedes no voso cerebro. | 8 | NIv2 | task1279_ted_translation_pt_gl | zs_opt | [
0.2580925226211548,
0.9211790561676025,
-0.08327881246805191,
-0.9556237459182739,
-0.6634019613265991,
-1.1856520175933838,
0.6445193290710449,
-0.12164296209812164,
0.7526505589485168,
-0.6694036722183228,
-0.4937259554862976,
0.4154917299747467,
-0.6649665832519531,
0.2637363076210022,
... |
Instructions: In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'first' val... | [{'first': -76, 'second': -74}, {'first': -43, 'second': 51}, {'first': 7, 'second': -18}, {'first': 38, 'second': -24}, {'first': 40, 'second': -18}, {'first': 53, 'second': -16}] | 3 | NIv2 | task123_conala_sort_dictionary | zs_opt | [
-0.10977143794298172,
0.2632921040058136,
-0.3979077637195587,
-0.24722900986671448,
0.5172635912895203,
-0.03078595921397209,
0.772954523563385,
0.3666980266571045,
0.23538845777511597,
-0.42953914403915405,
-0.7431287169456482,
-0.535405158996582,
-0.653559684753418,
-0.34673815965652466... |
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... | (5, 6) | 0 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.5285624265670776,
0.6073899269104004,
0.18169966340065002,
-0.5175060033798218,
0.017524294555187225,
-0.26879507303237915,
0.2283206582069397,
0.42835158109664917,
0.09817591309547424,
-0.09902961552143097,
-0.40419504046440125,
-0.6007547378540039,
0.08079838752746582,
0.0542267635464... |
Given the task definition and input, reply with output. In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using ... | Now her dark roots were gone! | 5 | NIv2 | task071_abductivenli_answer_generation | zs_opt | [
-0.21447597444057465,
0.9584215879440308,
0.18881753087043762,
-0.24268746376037598,
-0.8908485174179077,
0.00850061234086752,
0.33345702290534973,
0.7704503536224365,
-0.17811553180217743,
-0.2178502380847931,
-0.7621041536331177,
0.5206942558288574,
-0.20613086223602295,
-0.3991559743881... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
11, ['8043', 'C', '4189', '3253', 'C', '6813', 'i', '8623', '3167', 'U', '5907', '7577', '7687', 'S', 'J', 'Y', ... | 8043, C, 4189, 3253, C, 6813, i, 8623, 3167, U, 5907, 7577, 7687, S, J | 0 | NIv2 | task078_all_elements_except_last_i | zs_opt | [
0.2926289737224579,
0.285017728805542,
-0.5408070087432861,
-0.6244206428527832,
-0.5994637608528137,
-0.39320749044418335,
0.19487795233726501,
-0.2160836160182953,
-0.5479474663734436,
-0.48709315061569214,
-0.8732447624206543,
-0.08540451526641846,
0.36600497364997864,
0.012783024460077... |
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 鉱山の通気をよくするためのチームが水曜日の夕方までに作業を完了することが期待される。
Khamer: ក្រុមមួយដែលព្យាយាមបញ្ចូលខ្យល់ក្នុងអណ្... | Yes | 0 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.1901818960905075,
-0.08948280662298203,
-0.20209285616874695,
-0.07932333648204803,
-0.2062036395072937,
-0.9211795330047607,
0.10508717596530914,
-0.17165975272655487,
-0.7270615100860596,
-0.3875502943992615,
-0.037035200744867325,
0.03193650394678116,
-0.24453073740005493,
0.33212077... |
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.
Let me give you an example: Category: WHO'S BUYING?
Clue: YouTube, in 2006
The answer to this... | fred & ginger rogers | 8 | NIv2 | task306_jeopardy_answer_generation_double | fs_opt | [
-0.3372282087802887,
0.6891422271728516,
-0.18677201867103577,
0.25589239597320557,
0.035885658115148544,
0.7307252883911133,
-0.09604775905609131,
-0.22861385345458984,
-0.33350640535354614,
-0.2550366520881653,
0.15714682638645172,
-0.029381748288869858,
-0.6012948155403137,
-0.468528628... |
Detailed Instructions: Evaluate the similarity between them and classify them into classes from 0-5 as follows:
0 : The two sentences are completely dissimilar.
1 : The two sentences are not equivalent, but are on the same topic.
2 : The two sentences are not equivalent, but share some details.
3 : The two sentences ar... | 2 | 9 | NIv2 | task1347_glue_sts-b_similarity_classification | zs_opt | [
-0.7618715763092041,
-0.07884865999221802,
-0.030637670308351517,
0.06040692329406738,
0.18713580071926117,
-0.9081934690475464,
0.17668090760707855,
1.326667070388794,
0.45642560720443726,
0.04861918091773987,
-0.8285036087036133,
-0.8017803430557251,
-0.2715393304824829,
0.03590627014636... |
In this task, you are given dvd product reviews in German 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: Guter Film, mäßige Blu-ray . Der Film hat mir gut gefallen. Viel Gefühl und gute Darstelle... | POS | 4 | NIv2 | task480_cls_german_dvd_classification | zs_opt | [
-0.18624791502952576,
-0.07529260963201523,
-0.18178874254226685,
-0.1867610365152359,
0.17251521348953247,
0.2595803141593933,
1.2105228900909424,
0.6694340705871582,
0.3306522071361542,
0.43784981966018677,
-0.13090389966964722,
-0.450739324092865,
-0.10775919258594513,
0.008938156068325... |
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
[EX Q]: Who is this Quora user? I saved a link from Quora on Google Keep then her picture showed up on the link icon and it caught my attention.
[EX A]: If I ... | How real is the science used in The Flash TV show?
| 6 | NIv2 | task1345_glue_qqp_question_paraprashing | fs_opt | [
-0.5530102252960205,
0.6870783567428589,
-0.3347071707248688,
-0.6028875708580017,
-0.7991256713867188,
-0.18476109206676483,
1.1658892631530762,
0.5286816358566284,
0.21199443936347961,
-0.586036741733551,
-0.5756112933158875,
0.8610873222351074,
-0.3720385730266571,
0.6205834150314331,
... |
Part 1. Definition
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Part 2. Example
Tagalog sentence: Si Roger Federer ang unang manlalaro na nanalo ng 20 Grand Slams
Answer: Roger Federer was the first player to win 20 Grand Slams
Exp... | 8And the LORD said unto me, Amos, what seest thou? And I said, A plumbline. | 7 | NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt | [
0.6175724267959595,
0.3986878991127014,
-0.48367175459861755,
0.08707825839519501,
0.5207220315933228,
-1.312679409980774,
0.9644124507904053,
0.5860694050788879,
-0.11742208898067474,
0.07199131697416306,
-0.283215194940567,
0.5439702272415161,
-0.936908483505249,
-0.6044818758964539,
0... |
Instructions: Given a sentence in German, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Input: Er trat auch in Musikfilmen und später in komödiantischen Rollen auf.
Output: | 彼はまたミュージカル映画の中で、そして後に人生の中で、コメディの役で登場しました。 | 3 | NIv2 | task806_pawsx_german_japanese_translation | zs_opt | [
0.2827618718147278,
1.1294646263122559,
0.2484440803527832,
-0.2136046588420868,
0.23002269864082336,
0.3220723867416382,
0.9921971559524536,
0.5235430002212524,
-0.24129652976989746,
-0.37675121426582336,
-0.2921397387981415,
-0.3484811782836914,
-1.445941686630249,
-0.0636141374707222,
... |
Q: In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3'... | 2 | 7 | NIv2 | task201_mnli_neutral_classification | zs_opt | [
-0.51146000623703,
-0.1422099769115448,
-0.03645677492022514,
-0.22696805000305176,
0.23985655605793,
-0.12350932508707047,
0.036932121962308884,
1.0809401273727417,
0.17532306909561157,
0.5248819589614868,
-0.40637198090553284,
-0.2733604609966278,
-0.4206506311893463,
-0.7148942947387695... |
instruction:
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,... | [256, 2048, 4096, 512, 8, 64, 4, 128, 2048, 1024, 2048, 8, 32, 4, 128, 1024]
| 9 | NIv2 | task1444_round_power_of_two | fs_opt | [
-0.35328787565231323,
0.8376609086990356,
-0.41648808121681213,
-0.17353826761245728,
-0.24711161851882935,
-0.07019394636154175,
0.37628835439682007,
0.2980281412601471,
-0.34635114669799805,
0.1810450702905655,
-0.8128955960273743,
0.45384085178375244,
-0.0462249293923378,
-0.34879663586... |
Teacher:In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
Teacher: Now, understand the pro... | April 25, 1904 | 6 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
-0.6906322240829468,
0.7899521589279175,
-0.016864774748682976,
0.4598270058631897,
-0.14881856739521027,
-0.35264456272125244,
1.1202921867370605,
0.11306942999362946,
0.01822388917207718,
0.11236254125833511,
-0.07742951810359955,
-0.009341338649392128,
-0.2688143849372864,
-0.2952405214... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be presented with a 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. ... | Australian | 0 | NIv2 | task303_record_incorrect_answer_generation | fs_opt | [
0.21831554174423218,
0.48930850625038147,
-0.3011103868484497,
-0.045881517231464386,
0.0361291840672493,
0.1721598505973816,
0.5342823266983032,
0.7783995866775513,
-0.34023988246917725,
0.798306941986084,
0.2959616482257843,
0.4426535367965698,
-0.9478904604911804,
0.4082232117652893,
... |
In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
[Q]: Problem: at what rate of compound interest per annum will a sum of rs . 1200 become rs . 1348.32 in 2 years
Options: a ) 3 % ,... | c
| 5 | NIv2 | task1419_mathqa_gain | fs_opt | [
0.14786261320114136,
0.6901294589042664,
-0.4154362678527832,
-0.059258438646793365,
-0.5019849538803101,
-0.6981706619262695,
0.37203752994537354,
0.9398812055587769,
-0.2583011984825134,
0.25010251998901367,
-0.8156210780143738,
0.030192770063877106,
-0.8502976894378662,
-0.2591774463653... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 8 | NIv2 | task1210_atomic_classification_madeupof | fs_opt | [
0.5483220815658569,
0.5554872751235962,
0.18873463571071625,
-0.15640287101268768,
-0.6559531688690186,
-0.9155001640319824,
1.2395814657211304,
0.5737337470054626,
-0.509861171245575,
-0.4853776693344116,
-0.675961971282959,
-0.2566334009170532,
-0.8467440605163574,
0.25779199600219727,
... |
Given the task definition and input, reply with output. In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated que... | When did game of thrones season 5 begin filming?
July 2014 | 5 | NIv2 | task671_ambigqa_text_generation | zs_opt | [
-0.16883398592472076,
0.13631895184516907,
-0.18905624747276306,
0.3334802985191345,
0.12871187925338745,
0.1845366507768631,
-0.058001309633255005,
0.521155595779419,
-0.18081407248973846,
-0.39801037311553955,
-0.29948899149894714,
-0.1280619502067566,
-0.5668777227401733,
0.709177017211... |
Detailed Instructions: In this task, you need to write an incorrect answer to the given question. Along with the question, you are also given the correct answer(s) and the associated paragraph. An incorrect answer should be closely related to the content of the paragraph and/or the question but will not truthfully answ... | To win the conference. | 9 | NIv2 | task055_multirc_write_incorrect_answer | zs_opt | [
0.8059735298156738,
1.0753145217895508,
-0.31361621618270874,
0.20104601979255676,
0.6700981855392456,
-0.6374434232711792,
1.2370456457138062,
0.4852308928966522,
0.47172993421554565,
-0.2878815829753876,
-0.3218376040458679,
0.6652517914772034,
-1.00321626663208,
-0.053745087236166,
-0... |
Given the task definition, example input & output, solve the new input case.
Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected... | Not in Expected Language | 1 | NIv2 | task680_hope_edi_tamil_text_classification | fs_opt | [
-0.38164424896240234,
0.07279441505670547,
0.3903835117816925,
0.5779823064804077,
0.23715521395206451,
-0.42451250553131104,
-0.20157718658447266,
0.8229091763496399,
-0.46837520599365234,
0.42878204584121704,
-0.291378915309906,
0.13823816180229187,
0.03429383039474487,
-0.36423730850219... |
Given the task definition, example input & output, solve the new input case.
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: C... | PRP$ | 1 | NIv2 | task382_hybridqa_answer_generation | fs_opt | [
0.18379124999046326,
0.8369138836860657,
-0.31753072142601013,
1.1202558279037476,
-0.21677619218826294,
-0.5180758237838745,
0.5795509815216064,
0.4936230182647705,
-0.3949052095413208,
0.36653465032577515,
-0.5396814346313477,
0.6775757670402527,
-0.27902787923812866,
-0.0376136153936386... |
You are given a sentence and a question. You're expected to write an **incorrect** answer to the given question, such that it is relevant to the given sentence. Your answer should not be completely out of context. Try to write short answers with one or two words.
Q: Sentence: On day 1, Jeremy does 10 sets of jumping ja... | Day 1 | 4 | NIv2 | task1383_quarel_write_incorrect_answer | zs_opt | [
-0.7468997240066528,
1.0892479419708252,
-0.3938364088535309,
0.21425145864486694,
-0.5491255521774292,
-0.9257879257202148,
0.3127565383911133,
0.36564764380455017,
-0.47307080030441284,
-0.3581055998802185,
-0.49322277307510376,
0.3676321506500244,
-0.5456969141960144,
-0.316208422183990... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
でも考えてみてください「ただの子供ではいられない」と感じながら育つ子供のことを
Mas o que acontece a uma criança que cresce a saber que não pode ser simplesmente uma criança?
生々しい反応です裏庭で撮影されました
Sabem? Esta é uma reacção fantástica de alguém, num vídeo muito... | O seu destino e as consequências de perder as pernas são hoje a sua realidade diária.
| 0 | NIv2 | task1099_ted_translation_ja_pt | fs_opt | [
-0.723065972328186,
0.24683059751987457,
-0.3954174518585205,
0.11045049875974655,
-0.7966153621673584,
0.7948012351989746,
0.3227132558822632,
0.9431990385055542,
-0.22836542129516602,
-0.795340895652771,
-0.3900391161441803,
0.8454773426055908,
-1.520912766456604,
0.8064025640487671,
0... |
Given the task definition and input, reply with output. Given a sentence in Japanese, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
彼は形而上学文学、神学と古典科学の学者でした。
| 그는 형이상학 문학, 신학 및 고전 과학 학자였습니다. | 5 | NIv2 | task814_pawsx_japanese_korean_translation | zs_opt | [
0.15422695875167847,
0.8806555271148682,
0.39785006642341614,
-1.1015287637710571,
0.0057181185111403465,
-0.4343785345554352,
0.43954652547836304,
-0.183158278465271,
0.3056284189224243,
-0.5005638599395752,
-0.5842881798744202,
0.39329129457473755,
-0.8964246511459351,
0.1541793942451477... |
Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Input: لا تستطيع التظاهر بإطلاق الرصاص.
Output: | You can't pretend to shoot guns. | 3 | NIv2 | task1230_ted_translation_ar_en | zs_opt | [
-0.06172814220190048,
0.78624427318573,
0.4948487877845764,
-0.7006999254226685,
-0.5881302952766418,
0.0856805145740509,
0.24297600984573364,
0.033077627420425415,
1.1459152698516846,
-0.8985950946807861,
-0.023506633937358856,
0.09727514535188675,
-0.7262277603149414,
-0.0842175632715225... |
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