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 |
|---|---|---|---|---|---|---|
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
--------
Question: É verdade que ele escrevia uma carta ocasionalmente e que eu ia buscar os envelopezinhos.
Answer: The truth is he would write an occasional letter, and I did pick up those little envelopes.
Quest... | I actually left one of these wet paintings outside overnight next to a light in the woods.
| 7 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
-1.0430458784103394,
0.878806471824646,
0.019281789660453796,
-0.7567138671875,
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-0.7419409155845642,
-0.351504385471344,
0.8000398278236389,
-0.8010618090629578,
0.40220361948013306,
0.... |
You will be given a definition of a task first, then some input of the task.
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implie... | happy proud | 1 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.23922765254974365,
0.07776722311973572,
0.0014990621712058783,
-0.20282922685146332,
-0.6365967988967896,
-0.5147704482078552,
0.7990027666091919,
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0.35142138600349426,
-0.31884846091270447,
-0.615996241569519,
0.0142951430752... |
Detailed Instructions: In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Problem:Paragraph: Background. A... | False | 8 | NIv2 | task1162_coda19_title_classification | zs_opt | [
0.47247451543807983,
0.20372775197029114,
-0.5946245789527893,
0.2375306487083435,
-0.25444430112838745,
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0.8449991345405579,
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-0.40933096408843994,
0.7380164861679077,
-0.6327393054962158,
0.4423151910305023,
... |
Part 1. Definition
In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from... | Correct | 7 | NIv2 | task133_winowhy_reason_plausibility_detection | fs_opt | [
-0.06435193121433258,
0.4727141857147217,
0.21317407488822937,
-0.25381654500961304,
0.20706059038639069,
-0.30076003074645996,
0.5001299977302551,
0.45931506156921387,
0.38539934158325195,
-0.5790405869483948,
-0.6244142055511475,
0.4234732687473297,
-0.5171427726745605,
-0.32039040327072... |
In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun, V: Verb,... | Prep Art N Prep N V N Adv Adj Adv Art N Punc | 3 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | fs_opt | [
0.1192847415804863,
0.3002508282661438,
-0.17931918799877167,
0.08589282631874084,
-0.3373117744922638,
-0.3063592314720154,
0.5679864883422852,
-0.15425121784210205,
0.28446799516677856,
0.039803411811590195,
-0.4501532018184662,
0.5433154702186584,
-0.40319517254829407,
0.315182983875274... |
Detailed Instructions: 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 after the first i elements. i will always have a value less than the length of A.
Problem:1, ['H', '1517', '4459', 'p', 'k', '6899', '3567', '8551', '5537', 'h', 'y', 't', 'f'... | 1517, 4459, p, k, 6899, 3567, 8551, 5537, h, y, t, f, e, 743, 8373, 9305, l, A, 1919, s, a, x, Y | 8 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
0.42796534299850464,
-0.030291195958852768,
-0.3651203215122223,
-0.3614540994167328,
-0.4165996313095093,
-0.5050709247589111,
0.5184329748153687,
0.11309046298265457,
0.16597893834114075,
-0.1480240672826767,
-1.0591312646865845,
-0.11319082975387573,
0.32622870802879333,
-0.016708344221... |
Instructions: In this task, you are presented with a term, a question, and a yes/no answer. For context, the term is associated with a short description. Write the simple facts one needs to know in order to answer the given question. The facts should be easily found on the web (e.g. mentioned in a Wikipedia page)
Input... | Fact1: Queen Elizabeth defeated the Spanish Armada. Fact2: Oxford University didn't admit women until the 19th century. Fact3: Queen Elizabeth lived in the 16th and 17th centuries. | 3 | NIv2 | task169_strategyqa_sentence_generation | zs_opt | [
-0.03585858270525932,
0.9880868196487427,
-0.4824475646018982,
-0.9476751685142517,
-0.0846358984708786,
-1.5771548748016357,
0.15852028131484985,
0.7164785861968994,
0.5978188514709473,
-0.039333686232566833,
0.45547255873680115,
-0.15352126955986023,
-0.4272724986076355,
-0.5992406010627... |
TASK DEFINITION: You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You shoul... | After PersonX started dating PersonY's former girlfriend, _ tried to break up the new relationship.
| 8 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
0.9971832036972046,
0.22477522492408752,
-0.5734057426452637,
-0.14973436295986176,
0.15660275518894196,
-1.41417396068573,
1.5456714630126953,
0.8059457540512085,
-0.6735299229621887,
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-0.5887105464935303,
-0.2718508243560791,
-0.8057342171669006,
0.38816389441490173,
... |
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of yo... | [70, 41, 51, 64, 96, -47] | 8 | NIv2 | task122_conala_list_index_addition | fs_opt | [
0.7116180658340454,
0.23493170738220215,
-0.5553321838378906,
-0.3647717237472534,
0.2785981297492981,
-0.04771445691585541,
0.7222739458084106,
0.642880916595459,
-0.31310492753982544,
-0.29765263199806213,
-0.3125726878643036,
0.12480349838733673,
-0.3136857748031616,
-0.2416941970586776... |
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the selected choi... | Output: bc
| 2 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
-0.10259032249450684,
-0.009858982637524605,
-0.3466387391090393,
0.3549661636352539,
0.3953799307346344,
-0.15238001942634583,
0.27268266677856445,
1.1025779247283936,
-0.09907466173171997,
-0.019673308357596397,
-0.45095497369766235,
0.2794409394264221,
-0.48526015877723694,
-0.504374325... |
You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
[Q]: If you like strong coffee, as I do this coffee is over rated. I found it weak, with a sickening after taste.
[A]: Negative
[Q]: My first package came dam... | Negative
| 5 | NIv2 | task586_amazonfood_polarity_classification | fs_opt | [
0.10193927586078644,
-0.15669095516204834,
0.5351530313491821,
-0.013616079464554787,
0.3876950740814209,
0.05390339717268944,
0.9938647747039795,
-0.04661554470658302,
-0.3217216730117798,
-0.02746439352631569,
0.35915035009384155,
-0.35994845628738403,
-0.9906692504882812,
-0.14252787828... |
Detailed Instructions: We would like you to assess the QUALITY of each of the following argument (discussing Gay Marriage) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the t... | Invalid | 9 | NIv2 | task148_afs_argument_quality_gay_marriage | zs_opt | [
-0.1270696073770523,
0.4327274560928345,
0.5740862488746643,
0.050810806453228,
0.07365652918815613,
-1.5850069522857666,
0.4974571764469147,
0.49635109305381775,
0.1415981650352478,
0.16959650814533234,
-0.5875091552734375,
0.060529209673404694,
-0.5589262247085571,
-0.1794072985649109,
... |
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or... | strengthener | 9 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
-0.12094894796609879,
0.44736582040786743,
0.13008838891983032,
0.15788012742996216,
0.08111266791820526,
-1.1960973739624023,
0.6996036767959595,
1.2703980207443237,
0.26551780104637146,
-0.3360850214958191,
-1.3228586912155151,
0.0009031242225319147,
-0.5408143401145935,
-0.2583634555339... |
Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: لكن الأكادميين لم يتمكنوا من فهم أي شيء مما كتب.
Student: | Ma gli accademici non poterono capire nulla di ciò che aveva scritto. | 6 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
-0.27089956402778625,
0.6403894424438477,
0.19270369410514832,
-0.7988871335983276,
-0.47471141815185547,
-0.3345864415168762,
0.4825165867805481,
0.7008323669433594,
0.41307881474494934,
-0.6478762030601501,
0.08867605775594711,
-0.21168717741966248,
-0.31266191601753235,
-0.2013574838638... |
instruction:
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
question:
Given Relationship: 'be university in', Sentence: 'University of Tokyo is the only University in Japan which has a system of two years of g... | brother
| 9 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.353465735912323,
0.7917285561561584,
-0.3585664629936218,
-0.9956809282302856,
-0.32582908868789673,
-0.5550549030303955,
0.5611807703971863,
0.5205594301223755,
0.32381153106689453,
-0.5639290809631348,
-0.564212441444397,
0.41488683223724365,
-0.47990527749061584,
0.27638325095176697,... |
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... | OFFENSIVE | 6 | NIv2 | task286_olid_offense_judgment | zs_opt | [
-1.4947013854980469,
0.2342858463525772,
0.7689338326454163,
0.2397458255290985,
-0.08661805093288422,
-0.6315480470657349,
0.41404908895492554,
0.8199634552001953,
0.1205524131655693,
0.09816017001867294,
0.13907864689826965,
-0.266122043132782,
0.05581919848918915,
-1.0671067237854004,
... |
In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Q: If he reads the English version, he will be able to see what the wording shoul... | English
****
| 4 | NIv2 | task533_europarl_es-en_language_identification | fs_opt | [
-0.1201409101486206,
0.5227174162864685,
1.032002568244934,
-0.31808042526245117,
0.35384857654571533,
-0.701140820980072,
-0.4727747142314911,
1.1290199756622314,
0.10818478465080261,
0.045821089297533035,
-0.10309246182441711,
0.15161435306072235,
-0.048507209867239,
-0.9908549189567566,... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
Let me give you an example: A Miña esperanza é que a beleza e propósito deste universo microscópico poida inspirar enfoques novos e creativos na investigación do cancro.
The answer to this example can be: No final, esp... | É um sítio simplesmente lindo. | 8 | NIv2 | task1246_ted_translation_gl_pt | fs_opt | [
-0.9352887272834778,
1.0200457572937012,
0.20867018401622772,
-1.4069983959197998,
-0.1671822965145111,
-1.2769224643707275,
-0.6764371991157532,
0.5668344497680664,
0.06633409857749939,
0.11185190081596375,
-0.7410627007484436,
0.5390398502349854,
-0.4954357147216797,
0.38065850734710693,... |
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Example Input: 月曜日に、彼は金曜日にサウスバンクからトラムが盗まれたとされる事件に関しても容疑がかかった。
Example Output: Pada hari Senin dia juga ditangkap terkait sebuah peristiwa... | 1 orang, Wasiu Olaleye, memerlukan pengobatan untuk luka pada kakinya karena "Aku harus melompat dari lantai pertama untuk menyelamatkan hidupku, " katanya.
| 3 | NIv2 | task1115_alt_ja_id_translation | fs_opt | [
-0.5722670555114746,
0.40380847454071045,
-0.34204405546188354,
-0.12195605039596558,
-0.13322290778160095,
-0.7458582520484924,
0.2910650372505188,
0.36273622512817383,
-0.3097209632396698,
-0.030287999659776688,
-0.8854211568832397,
0.7373281717300415,
-0.4722535014152527,
0.562133550643... |
Given the task definition and input, reply with output. 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".
Brenda: Well, what's on? Brenda: Well, hmm. There... | (C) He'd prefer to watch something else. | 5 | NIv2 | task247_dream_answer_generation | zs_opt | [
0.3456266224384308,
0.269930899143219,
-0.3957875370979309,
-0.42432868480682373,
0.3581790030002594,
-0.04313022643327713,
0.7550143599510193,
0.46405354142189026,
0.30340686440467834,
-0.006659580394625664,
-0.7869625091552734,
-0.10727321356534958,
-0.33991333842277527,
-0.3346711993217... |
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.
Q: Sentence: 'a young man grinds a skateboard on a ledge'. How many words end with the letter 'a' in the sentence.
A: 3
****
Q: Sentence: 'a computer has three monitors set up and attac... | 2
****
| 4 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
0.3969162106513977,
0.544528067111969,
-0.5252833366394043,
-0.945784330368042,
-0.22339196503162384,
0.007003589533269405,
0.6332754492759705,
0.5572646260261536,
0.9320594072341919,
-0.42902982234954834,
-0.18880000710487366,
0.5325280427932739,
-0.0613090917468071,
-0.08481098711490631,... |
Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientat... | Identity-attack | 3 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-0.37196892499923706,
0.4352876543998718,
0.5263603925704956,
0.7386897802352905,
-0.08683981746435165,
-0.064763143658638,
0.44793587923049927,
0.769738495349884,
0.9219647645950317,
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0.28228825330734253,
-0.008217905648052692,
-0.20561133325099945,
-1.064065933227539,
... |
In this task, you are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given question. An incorrect answer should not truthfully answer the given question. A good incorrect answer should be closely related... | No. | 6 | NIv2 | task057_multirc_classify_incorrect_answer | fs_opt | [
-0.4635776877403259,
0.0966809093952179,
-0.4348372519016266,
0.3609609007835388,
0.1142619252204895,
-0.39230090379714966,
1.1666169166564941,
0.5982756614685059,
-0.8318328857421875,
-0.009038202464580536,
0.07982970774173737,
-0.27465498447418213,
-0.6003102660179138,
0.0879277512431144... |
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or ant... | Unrelated
****
| 4 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
0.5921938419342041,
0.3899068236351013,
0.1263907253742218,
-0.14029327034950256,
-0.0654171034693718,
-0.01114665437489748,
0.5575780868530273,
1.379992961883545,
0.023013528436422348,
-0.08025318384170532,
-0.4605867862701416,
-0.16684013605117798,
-0.23448586463928223,
-0.25678464770317... |
Instructions: This task is to translate a news commentary given in Dutch language into Portuguese 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: Voedselzekerheid betekent dat iederee... | Alcançar a segurança alimentar significa assegurar que todas as pessoas tenham acesso consistente e de baixo custo aos nutrientes certos, apesar das limitações de terra e água, das alterações climáticas, e da crescente prevalência das ricas dietas ao estilo Ocidental, que acompanham o crescimento dos rendimentos. | 3 | NIv2 | task1375_newscomm_translation | zs_opt | [
-0.4442077577114105,
0.6450111269950867,
-0.35802942514419556,
-0.37614166736602783,
-0.838666558265686,
-0.23406898975372314,
0.22141677141189575,
0.5104222297668457,
0.5167449712753296,
-0.28635460138320923,
-0.6498377323150635,
0.03625510632991791,
-0.8368772268295288,
-0.17825782299041... |
In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
[Q]: Sentence-1: Vietnamese is my favorite.<sep>Sentence-2: I have had pho .
[A]: Yes
[Q]: Sentence-1: I finished up a few months ago.<sep>Sentence-2: I have ... | Yes
| 5 | NIv2 | task566_circa_classification | fs_opt | [
-0.233445942401886,
-0.23357151448726654,
0.06675375998020172,
-0.32523930072784424,
-0.06312935799360275,
-0.585952877998352,
1.138805627822876,
1.425696849822998,
0.08962392807006836,
-0.050318166613578796,
0.24146804213523865,
-0.10619862377643585,
-0.5723324418067932,
-0.13954779505729... |
Detailed Instructions: In this task, we ask you to rewrite a sentence in simple English without changing its general meaning. Essentially, you want to make the sentence easier to read by using simpler words, utilizing more straightforward sentence structures, and omitting non-essential information etc.
Problem:The Swed... | The Swedish Evangelical Mission ( SEM ) ( " EFS " ) is an independent organization within the Church of Sweden . | 8 | NIv2 | task933_wiki_auto_style_transfer | zs_opt | [
-0.4074908196926117,
-0.12073724716901779,
0.5647969245910645,
-0.9904764890670776,
0.38845670223236084,
-1.2571744918823242,
0.703967809677124,
0.5807003974914551,
0.37689197063446045,
0.5531837940216064,
-0.03445972502231598,
0.9419536590576172,
-0.2962157726287842,
-0.6789183020591736,
... |
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Ex Input:
Directs the Secretary of Agriculture to use specified Commodity Credit Corporation (CCC) funds ... | United States-Cuba Normalization Act of 2017
| 1 | NIv2 | task1659_title_generation | fs_opt | [
0.4403592348098755,
0.126682311296463,
-0.41427838802337646,
0.08715291321277618,
0.5434865951538086,
-0.30056232213974,
0.3925342261791229,
1.5267462730407715,
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0.10553693026304245,
0.5613601803779602,
-0.4512326121330261,
0.5764005780220032,
-0.... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Y la razón clave por la cual está tomando auge tan rápido es porque cada adelanto de la tecnología incrementa la eficiencia y el tejido social de confianza que hace que compartir sea cada vez más fácil.
A: | Mas a razão principal porque isto se passa muito rápido é porque cada novo avanço tecnológico aumenta a eficácia e a cola social da confiança para que patilhar seja cada vez mais fácil. | 7 | NIv2 | task1104_ted_translation_es_pt | zs_opt | [
-0.6280367374420166,
1.493894338607788,
-0.12446071207523346,
-0.676629900932312,
-0.5214887261390686,
-0.1803799569606781,
-1.0353178977966309,
1.707106590270996,
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-0.24946869909763336,
-0.1711955964565277,
0.3753302991390228,
-0.46816176176071167,
0.47635167837142944,... |
In this task, you're given a passage, 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 passage and link information to create the q... | What country is the observatory located in that Pustõlnik was on the staff of for forty-three years? | 9 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.4585433006286621,
0.864763617515564,
-0.42414313554763794,
-0.19032002985477448,
0.6291996240615845,
-0.8143775463104248,
0.7386901378631592,
0.6981152296066284,
0.2885966897010803,
0.43605345487594604,
-0.7064526081085205,
0.030199388042092323,
-0.5608966946601868,
0.2963559925556183,
... |
Classify the input text into either disfluent questions or proper questions. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
One example is below.
Q: Who influenced the fundamentalist sorry no non-Taliban i... | disfluent | 9 | NIv2 | task1623_disfl_qa_disfluent_question_classification | fs_opt | [
0.2076995074748993,
0.16050897538661957,
0.043541617691516876,
-0.01662428304553032,
-0.2289789915084839,
-0.30271273851394653,
1.048557996749878,
-0.15892541408538818,
0.12772390246391296,
-0.06545668840408325,
-0.9486596584320068,
-0.6892013549804688,
-0.6437966227531433,
-0.017505452036... |
Detailed Instructions: In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Problem:Sentence-1: It's more of a downgrade.<sep>Sentence-2: I would I consider as a promotion .
Solution: | No | 8 | NIv2 | task566_circa_classification | zs_opt | [
-1.2282594442367554,
0.05581800267100334,
0.5267242193222046,
0.4468487501144409,
-0.04550737142562866,
-0.6201486587524414,
0.54682856798172,
1.6472771167755127,
0.46982038021087646,
0.07255338132381439,
-0.6587927341461182,
-1.0711166858673096,
-0.7865079045295715,
0.008690688759088516,
... |
Part 1. Definition
In this task, you need to reverse the order of words in the given sentence.
Part 2. Example
Sentence: luggage surrounds a vehicle in an underground parking area
Answer: area parking underground an in vehicle a surrounds luggage
Explanation: This is a correct answer, as it correctly reverses the order... | office an and stoves dual with equipped is dwelling rustic a | 7 | NIv2 | task376_reverse_order_of_words | fs_opt | [
0.272741436958313,
0.8667508363723755,
-0.37250012159347534,
0.11133798956871033,
-0.016270289197564125,
0.2654802203178406,
0.6544209122657776,
0.42763999104499817,
0.5793401002883911,
-0.25751739740371704,
-0.804084300994873,
0.4172665774822235,
-0.20475934445858002,
-0.14085201919078827... |
You will be given a definition of a task first, then some input of the task.
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.
Category: NUCLEAR... | the plasma | 1 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
0.28830963373184204,
0.7661281228065491,
-0.09324905276298523,
-0.32346683740615845,
-0.19263234734535217,
-0.2291606068611145,
0.752255916595459,
0.2867751121520996,
0.5500336289405823,
0.2740103006362915,
0.25695300102233887,
-0.5934771299362183,
-0.11944779753684998,
-0.1089115440845489... |
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 be "Yes", the passage should be generally about a person.... | No
| 6 | NIv2 | task632_dbpedia_14_classification | fs_opt | [
0.4205848276615143,
-0.21530485153198242,
-1.050689935684204,
0.029181286692619324,
0.1524871289730072,
-1.3570973873138428,
0.3159986734390259,
0.6958255767822266,
-0.3554648160934448,
-0.29965993762016296,
-0.7210819721221924,
0.4946024715900421,
-0.3565162420272827,
-0.09961104393005371... |
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Q: Sentence1: Janet invited me to her studio. Sentence2: She told me that she can sing well. Sentence3: Afte... | I immediately took off the sound and her voice sounded bad. | 4 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.2867669463157654,
1.5051941871643066,
-0.5214282870292664,
-0.5688110589981079,
-0.014395225793123245,
-0.29065680503845215,
0.6681159734725952,
0.008009485900402069,
-0.16224773228168488,
-0.0000735805369913578,
-0.20352113246917725,
-0.33013588190078735,
-0.358069509267807,
-0.1090810... |
In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Sentence 1: Susie had to pack a sandwich. Sentence 2: She wanted something delicious. Sentence 3: S... | b
| 0 | NIv2 | task220_rocstories_title_classification | fs_opt | [
0.35375040769577026,
-0.39706701040267944,
-0.2984304130077362,
-0.2803623676300049,
0.5647942423820496,
-0.45593714714050293,
0.5640787482261658,
1.2957168817520142,
-0.106085866689682,
0.265379399061203,
-0.1733839213848114,
0.04125620424747467,
-0.15211185812950134,
0.049600809812545776... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay specia... | AGE | 0 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
0.23334500193595886,
0.5636690855026245,
-0.5283106565475464,
0.5964405536651611,
-0.3733314573764801,
-0.4113774299621582,
1.4819740056991577,
1.0977274179458618,
0.08673784881830215,
0.3288153409957886,
-0.18587598204612732,
0.5882683992385864,
-0.7179774045944214,
-0.21413573622703552,
... |
Part 1. Definition
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (rea... | ['CASE_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'STEM_BASED_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF... | 7 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.4131704568862915,
-0.0765024721622467,
0.05551530793309212,
0.0739581361413002,
0.30508431792259216,
-0.48050206899642944,
0.6301124095916748,
1.0171008110046387,
-0.32786405086517334,
0.235732302069664,
-0.14657895267009735,
-0.22673353552818298,
-0.5541935563087463,
0.12271219491958618... |
Detailed Instructions: In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/exi... | Bill realizes that his girlfriend is smart. | 9 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
-0.08609098941087723,
0.27261805534362793,
0.8204507827758789,
-0.6747339963912964,
-0.21246430277824402,
-0.19877803325653076,
0.5586119294166565,
0.3736671209335327,
0.05674560368061066,
-0.039556410163640976,
-0.44965916872024536,
0.29933732748031616,
0.16282282769680023,
-0.17407092452... |
Adverse drug reactions are appreciably harmful or unpleasant reactions resulting from an intervention related to the use of medical products, which predicts hazard from future administration and warrants prevention or specific treatment, or alteration of the dosage regimen, or withdrawal of the product. Given medical c... | adverse drug event
| 6 | NIv2 | task1495_adverse_drug_event_classification | fs_opt | [
0.12049578130245209,
0.41091620922088623,
-0.6301062107086182,
-0.8491076231002808,
-0.17710024118423462,
-0.6849246621131897,
0.10102387517690659,
0.8735847473144531,
0.6937428712844849,
0.1935591995716095,
-0.6432663798332214,
1.2026710510253906,
-0.6988261938095093,
-0.25018933415412903... |
You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Q: I've had the other Annie's shells and cheddar and they're usually very good. I wanted to try whole wheat to be healthier, but it's really not worth it. It has ... | Negative | 4 | NIv2 | task586_amazonfood_polarity_classification | zs_opt | [
-0.028057940304279327,
0.23106831312179565,
0.18620413541793823,
-0.25194817781448364,
-0.10073699057102203,
-0.6029320955276489,
0.42996901273727417,
0.28057947754859924,
0.2448287457227707,
0.42978978157043457,
-0.04145149886608124,
-0.336424857378006,
-0.7385169267654419,
-0.17174157500... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You nee... | -7228 | 1 | NIv2 | task087_new_operator_addsub_arithmetic | zs_opt | [
-0.458062082529068,
0.6391072273254395,
-0.960586428642273,
0.34203463792800903,
-0.4613966941833496,
-0.027775444090366364,
0.25207337737083435,
1.3021600246429443,
0.6292427182197571,
0.2732403874397278,
-0.5440937876701355,
-0.38205021619796753,
0.2097393274307251,
0.23286980390548706,
... |
Given the task definition, example input & output, solve the new input case.
A text is given in Tamil. Translate it from the Tamil language to the Hindi language. The translation must not omit or add information to the original sentence.
Example: முன் கூட்டி அறிந்துகொள்ள முடியாத பருவநிலையினால் ஏற்படும் பாதிப்புகளில் இர... | आपकी धर्म-निष्ठा सागर से भी गहरी है और आपका स्वाभिमान सागरमाथा से भी ऊंचा है। | 1 | NIv2 | task994_pib_translation_tamil_hindi | fs_opt | [
-0.5764544010162354,
0.2727234661579132,
-0.12272365391254425,
-0.10191301256418228,
0.3641279637813568,
-1.2346577644348145,
0.13179387152194977,
0.5899287462234497,
-0.3654962182044983,
0.5446330308914185,
-0.3516538739204407,
-0.19238722324371338,
-0.2899535596370697,
-0.005003240425139... |
instruction:
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 indi... | red_cupboard
| 9 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.5161136984825134,
-0.28335630893707275,
-1.18244469165802,
0.08404235541820526,
-0.08962853252887726,
0.023704202845692635,
-0.038127653300762177,
0.5962189435958862,
0.1334197223186493,
0.08745487034320831,
-0.3875510096549988,
-0.033914193511009216,
0.16608759760856628,
-0.022758461534... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Example Input: I don't have ... | assistant
| 3 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
-0.48693862557411194,
0.37538036704063416,
-0.10133226215839386,
-0.6570616960525513,
-0.2679981291294098,
0.3333924412727356,
0.779017984867096,
-0.36790040135383606,
0.6484059691429138,
-0.42419755458831787,
-0.34144940972328186,
-0.16940870881080627,
-0.37097522616386414,
-0.07471118867... |
Part 1. Definition
In this task, we ask you to identify the named entity that is the subject of the excerpt. Note that there could be multiple sentences in the excerpt and multiple named entities in each sentence - you must correctly pick the one that is the excerpt's main subject. The same named entity could appear in... | Café Rouge | 7 | NIv2 | task959_e2e_nlg_text_generation_identify | fs_opt | [
-0.7883671522140503,
0.032452620565891266,
0.23337510228157043,
-0.13375979661941528,
-0.3834330141544342,
-0.20457704365253448,
1.041739583015442,
0.16011054813861847,
0.30802083015441895,
-0.3499909043312073,
0.17940175533294678,
-0.38677728176116943,
-0.8240605592727661,
-0.150406450033... |
Part 1. Definition
In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain c... | SELECT Name FROM Products WHERE Price > 200 | 7 | NIv2 | task077_splash_explanation_to_sql | fs_opt | [
0.1974865198135376,
0.3410145044326782,
-1.0787526369094849,
1.0239061117172241,
-0.013074873015284538,
-0.18822333216667175,
0.8327998518943787,
1.0173929929733276,
-0.4320583641529083,
0.37949538230895996,
0.28888407349586487,
0.2428172528743744,
-0.29126518964767456,
0.1600099802017212,... |
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the questi... | The work at the school was tedious but the other job as a mechanic would not be a good idea. Therefore the _ job was null.
| 3 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.7645723819732666,
0.36975955963134766,
-0.08926646411418915,
0.03200562298297882,
0.44955888390541077,
-0.7416023015975952,
0.8112843632698059,
1.319352388381958,
-0.8693559169769287,
-0.17687934637069702,
-0.3518105149269104,
0.19752000272274017,
-0.6698402166366577,
0.10470231622457504... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
[Q]: إذن في السنة والنصف الماضية ، فريقي في Push Pop Press وتشارلي ميلتشر وإعلام ميلتشر كانوا يعملون على إنشاء أول كتاب تفاعلي طويل.
[A]: この1年半私たちのPush Pop Press社はチャーリー・メルチャーのメルチャーメディア社と初の長編インタラクティブ・ブックに取り組んできました
[Q]: ومن... | 今カードは全部裏ですね ？ (観客: はい) 画面で見えますか ？
| 5 | NIv2 | task1231_ted_translation_ar_ja | fs_opt | [
-0.4182892441749573,
-0.09254604578018188,
0.04739857465028763,
-0.5551591515541077,
-0.5823566913604736,
0.3738751709461212,
0.5022929906845093,
-0.1122862845659256,
0.31089043617248535,
-0.6449611186981201,
-0.4189451336860657,
-0.17899052798748016,
-0.5488258004188538,
0.048938110470771... |
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. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith ele... | 9206BX317 | 5 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | zs_opt | [
-0.07485386729240417,
-0.1453867256641388,
-0.4550492465496063,
0.009131519123911858,
-0.057867132127285004,
-0.20998577773571014,
0.5787349939346313,
0.29706859588623047,
-0.6776683330535889,
-0.2462531328201294,
-0.9654107689857483,
-0.04852427542209625,
0.1661510318517685,
-0.2206972390... |
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
Q: Who was the king of england in ... | Carrie Kei Heim
****
| 4 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
-0.6961495876312256,
0.7077418565750122,
-0.28186607360839844,
-0.206405907869339,
-0.38443291187286377,
-0.47754138708114624,
0.498904287815094,
0.3679724335670471,
-0.6238914132118225,
-0.011640401557087898,
-0.39755818247795105,
0.05923872068524361,
-0.6233097314834595,
-0.5879899859428... |
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.
One example is below.
Q: 2, 3, ['a', '34', 'f', '931', '7', '3432... | 2245, 5233 | 9 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
0.018157925456762314,
0.29878324270248413,
-0.5971963405609131,
-0.6162742376327515,
-0.47269028425216675,
0.29393285512924194,
0.6856493949890137,
-0.08450040221214294,
-0.28177061676979065,
-0.22874489426612854,
-0.41570961475372314,
-0.2603544592857361,
-0.12562741339206696,
0.135810926... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT | 6 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.23901882767677307,
0.6371223330497742,
-0.33920228481292725,
-0.002442773897200823,
0.2308744341135025,
-0.04700471833348274,
0.414282888174057,
0.09468129277229309,
-0.260573148727417,
-0.3861593008041382,
-0.8371487855911255,
-0.3558529019355774,
-0.7152506709098816,
-0.141599714756011... |
Instructions: 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).
Input: "Evidence of this is clear:"
Output: | "इसका प्रमाण स्पष्ट है।" | 3 | NIv2 | task432_alt_en_hi_translation | zs_opt | [
-0.24400480091571808,
0.6150832772254944,
0.760812520980835,
-0.3466097116470337,
0.18528607487678528,
-0.40836581587791443,
0.7482575178146362,
1.0536704063415527,
-0.02256689965724945,
-0.2792319059371948,
-0.4532889127731323,
-0.30931779742240906,
-0.4674944579601288,
-0.266368508338928... |
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 answer". The q... | Question: Who will not be hurt by the dolls?, Answer: Those who are kind to the dolls. | 3 | NIv2 | task182_duorc_question_generation | zs_opt | [
0.870034396648407,
0.6214531660079956,
-0.8285428285598755,
0.19214831292629242,
0.02279813215136528,
0.044489867985248566,
1.2304589748382568,
0.6926886439323425,
-0.4730682969093323,
-0.05019272118806839,
-0.22095203399658203,
0.2121969312429428,
-0.46693068742752075,
-0.0048407353460788... |
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible.
... | Thrush
| 5 | NIv2 | task595_mocha_answer_generation | fs_opt | [
0.9414691925048828,
0.6352060437202454,
-0.34651029109954834,
0.5522838234901428,
0.4806634187698364,
-0.6804698705673218,
0.4524075388908386,
0.45535433292388916,
-0.5351763963699341,
0.5053675770759583,
-0.23221039772033691,
0.3087753653526306,
-0.44666793942451477,
0.2238622009754181,
... |
Teacher:In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the ... | My mom looks for her earrings >Causes/Enables> My mom asks me if I've seen them | 6 | NIv2 | task748_glucose_reverse_cause_event_detection | zs_opt | [
0.09232339262962341,
0.26465848088264465,
-0.025207441300153732,
-0.6379013657569885,
-0.07923462986946106,
-0.9977042078971863,
-0.24335741996765137,
1.2823823690414429,
-0.0668359026312828,
0.051900479942560196,
-0.38756000995635986,
0.17080438137054443,
-0.6269458532333374,
-0.580037474... |
Detailed Instructions: Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, ... | medical condition | 8 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
0.4296696186065674,
0.08955390751361847,
-0.17179393768310547,
-0.6300452947616577,
-0.2315015196800232,
-0.7776426076889038,
0.5911484956741333,
-0.0011100649135187268,
-0.1927064061164856,
-0.3495192229747772,
-0.38965147733688354,
0.10104431211948395,
-0.866662323474884,
0.0991590172052... |
Detailed Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is wh... | green_drawer | 4 | NIv2 | task152_tomqa_find_location_easy_noise | fs_opt | [
0.45073002576828003,
0.10599762201309204,
-0.6252056956291199,
-0.3864743113517761,
-0.5556195378303528,
-0.2954811453819275,
0.309589147567749,
0.533603310585022,
-0.10953632742166519,
0.157089963555336,
0.1854001134634018,
0.5244995355606079,
-0.022616451606154442,
-0.13827848434448242,
... |
In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Ex Input:
The processing cost can then be incorporated in the price of new... | Dessa garanterar - utan anspråk på att vara fullständiga - minst 3 punkter: Inget skrotfärdigt tank- eller fraktfartyg får någonsin mer anlöpa en hamn i Europeiska unionen.
| 1 | NIv2 | task313_europarl_en_sv_translation | fs_opt | [
0.4234742522239685,
-0.11880223453044891,
-0.1960981786251068,
0.16732622683048248,
0.4279797673225403,
-0.5331299304962158,
0.49882104992866516,
1.1669012308120728,
0.26277363300323486,
0.7467585802078247,
-0.11029841005802155,
0.4871631860733032,
0.29049813747406006,
0.06559331715106964,... |
Q: Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Tried everything. Doesn't work for MacBook even though it says so. Directions are hard to follow. Don't buy if you don't know much about computer and wifi or own a Mac.
A: | Negative Review | 7 | NIv2 | task1343_amazon_us_reviews_rating | zs_opt | [
0.18998032808303833,
-0.001213837880641222,
-0.4752320945262909,
-0.5042904615402222,
0.37789735198020935,
-0.424382746219635,
0.050370313227176666,
0.6361439824104309,
0.5943825244903564,
0.9033327698707581,
-0.1265726387500763,
-0.1772354245185852,
0.5728870630264282,
-0.5591555833816528... |
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
Example input: இந்தியா அல்லது உஸ்பெகிஸ்தானிடமிருந்து அறிவிப்பு வந்த நாளிலிருந்து ஆறு மாதத்திற்கு பிறகு இந்த ஒப்பந்தம் காலவதியாகிவிடும்
Example output: భారతదే... | అయితే, శాంతి మరియు సద్భావన ల కోసం కృషి చేసే శక్తులు శాంతి సాధన కై సదా బలవత్తరం గా ఉండాలని కూడా ఆయన స్పష్టం చేశారు. | 3 | NIv2 | task1075_pib_translation_tamil_telugu | fs_opt | [
0.36895275115966797,
0.8731754422187805,
0.07144799083471298,
-0.03944076597690582,
0.173587366938591,
-1.536062479019165,
-0.14778606593608856,
-0.079947829246521,
-0.8283809423446655,
0.04917721077799797,
-0.23059210181236267,
0.03184966742992401,
-0.2585437297821045,
0.05319954454898834... |
Teacher: In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Teacher: Now, understand the problem? If you are still confused, see the following example:
I declare ... | Quiero también decir que yo también apoyo todas las enmiendas presentadas por la Comisión de Asuntos Jurídicos que fueron aprobadas allí unánimemente. | 2 | NIv2 | task530_europarl_en_es_translation | fs_opt | [
-0.33335068821907043,
0.5203822255134583,
-0.21419495344161987,
-0.22251957654953003,
0.07788185030221939,
-0.495841383934021,
0.6910456418991089,
0.5298539400100708,
-0.0653352290391922,
-0.04779998958110809,
0.5261927247047424,
0.9261566400527954,
-0.6360172033309937,
-0.1257594823837280... |
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... | DISSIMILAR
****
| 4 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.15982842445373535,
0.2988436818122864,
0.24339747428894043,
-0.37839192152023315,
0.0009719000663608313,
-0.8545021414756775,
0.9167240262031555,
0.38785094022750854,
-0.34594836831092834,
0.05419923737645149,
-0.3066883981227875,
0.17277278006076813,
-0.45609480142593384,
0.02055083960... |
TASK DEFINITION: You will be given a piece of text either about an everyday event, or a general statement. If the event seems a plausible event to you, or the general statement makes sense matches your commonsense, output 'True', otherwise output 'False'.
PROBLEM: John had to get up early Saturday, so he went to bed ex... | False
| 8 | NIv2 | task116_com2sense_commonsense_reasoning | fs_opt | [
0.20383918285369873,
0.30940139293670654,
-0.44646966457366943,
-0.1323404759168625,
-0.5250931978225708,
-0.8976168632507324,
0.40126463770866394,
0.7975391745567322,
-0.1901247650384903,
0.2946242690086365,
-0.5861368179321289,
0.2137039452791214,
-0.7336403727531433,
0.14079846441745758... |
In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
[Q]: Can you tell me anything about Myanmar
Myanmar is a county in South East Asia. Its full name is the Republic of the Union of Myanmar.
That is very cool, what can you tell me specifically about thei... | Libya
| 5 | NIv2 | task578_curiosity_dialogs_answer_generation | fs_opt | [
0.11850804835557938,
-0.12019148468971252,
-0.048836611211299896,
-0.6135391592979431,
0.20129245519638062,
-0.2714238166809082,
0.378292053937912,
0.8805308938026428,
-0.33749669790267944,
0.0659317597746849,
-0.08913697302341461,
0.7059369683265686,
-1.0681052207946777,
0.542852222919464... |
Q: 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 different in terms of trigger words (e.g., "sympatheti... | Sentence 1: Flying came much easier for PersonX than PersonY because _ never pictured the airplane crashing.
Sentence 2: Flying came much easier for PersonX than PersonY because _ always pictured the airplane crashing. | 7 | NIv2 | task030_winogrande_full_person | zs_opt | [
0.062352728098630905,
0.440340518951416,
0.09879206120967865,
-0.4568968415260315,
0.24641044437885284,
-0.3088500201702118,
0.8970136642456055,
0.9803383350372314,
-0.10994523763656616,
-0.4631774425506592,
-0.30815908312797546,
-0.08694139122962952,
-0.5785039663314819,
-0.12499751150608... |
Q: In this task, you are given a sentence in Persian, and your task is to translate it into English.
قسمت اول حول داستان بازگشت قهرمانی معروف به لندن میچرخید که بعد از دو سال غیبت که در آن مرگ خود را ظاهرسازی کرده بود، بازگشته بود تا امپراطوری تبهکارانه رقیب شرور خود جیم موریارتی را از هم بپاشد.
A: | The premiere centred on the return of the titular hero to London following a two year absence, during which he had faked his own death in order to dismantle the criminal empire of his arch-nemesis, Jim Moriarty. | 7 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
-0.30006980895996094,
1.126936674118042,
-0.2019207775592804,
-0.20074914395809174,
-0.5795680284500122,
-0.08020070195198059,
-0.02653651311993599,
0.13263219594955444,
0.13454675674438477,
-0.6474711894989014,
-0.673189640045166,
1.2879903316497803,
-0.977604866027832,
-0.200331985950469... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
One example is below.
Q: Person1: Are you ready to order , sir ?
... | 1 | 9 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
-0.142153799533844,
-0.22128169238567352,
0.23138341307640076,
0.14371302723884583,
0.20886605978012085,
0.08816850185394287,
0.4319345951080322,
0.318412184715271,
0.032941222190856934,
0.11354582011699677,
0.21950945258140564,
-0.6854498982429504,
-0.23248191177845,
-0.22025099396705627,... |
Definition: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Input: John transported the woman from work some trucks
Output: | John transported some trucks to the woman from work | 2 | NIv2 | task132_dais_text_modification | zs_opt | [
0.18270060420036316,
0.44794711470603943,
0.42055290937423706,
-0.020216889679431915,
0.2096046805381775,
-0.5359739661216736,
-0.18630008399486542,
0.035659704357385635,
-0.1879768967628479,
-0.15285083651542664,
-0.7816929817199707,
0.08017206937074661,
-0.4728594422340393,
0.18534785509... |
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 after the first i elements. i will always have a value less than the length of A.
[Q]: 11, ['4691', 'R', 'M', 'w', '9331', 't', '6267', '6397', '9103', '4309', 's', 'G', '5985', '1097', '7589', '41... | s, R, Z, B, f, 1843
| 5 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
0.3172680735588074,
-0.17338599264621735,
-0.3073156476020813,
-0.3799590468406677,
-0.30571162700653076,
-0.7804907560348511,
0.4477789103984833,
0.2485971450805664,
-0.37124747037887573,
0.18603450059890747,
-0.8419561386108398,
-0.08812738955020905,
0.37076663970947266,
0.02242611348628... |
You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypothesis. Your... | neutral | 0 | NIv2 | task1529_scitail1.1_classification | zs_opt | [
-0.038910161703825,
0.7332966923713684,
-0.4146565794944763,
0.30619725584983826,
-0.3508732318878174,
-1.0410749912261963,
0.2634596526622772,
0.06332660466432571,
0.444829523563385,
-0.31965938210487366,
-0.6104096174240112,
0.2828418016433716,
-0.08365537971258163,
-0.03966177999973297,... |
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 the given context is not useful.
One example is below.
Q: Context: Our praye... | yes | 9 | NIv2 | task242_tweetqa_classification | fs_opt | [
-0.5164926052093506,
0.5296123027801514,
0.17326214909553528,
0.025712452828884125,
0.09486766159534454,
-0.3041606545448303,
0.5130045413970947,
0.39149823784828186,
0.177107036113739,
0.28875696659088135,
-0.3653218448162079,
-0.23156976699829102,
-0.42110294103622437,
-0.322143465280532... |
Detailed Instructions: 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 ev... | Yes | 4 | NIv2 | task1201_atomic_classification_xintent | fs_opt | [
0.6068092584609985,
0.18625062704086304,
0.05879916250705719,
0.14919844269752502,
-0.34893539547920227,
-0.9213961362838745,
1.1822060346603394,
0.5943951606750488,
-0.6479723453521729,
-0.006018016021698713,
-0.3994041681289673,
-0.7339172959327698,
-0.9647184610366821,
-0.21916925907135... |
Given the task definition, example input & output, solve the new input case.
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that hav... | Funny | 1 | NIv2 | task495_semeval_headline_classification | fs_opt | [
-0.06567157804965973,
0.8106542825698853,
0.4188019633293152,
0.24244895577430725,
-0.03815319016575813,
0.327041357755661,
0.18770232796669006,
0.913794994354248,
0.002372641582041979,
0.3756731450557709,
-0.33667877316474915,
-0.38987696170806885,
-0.3523573577404022,
-0.1496330797672271... |
Part 1. Definition
Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Part 2. Example
Which writer rode Devon Loch in the 1956 Grand National?
Answer: dick francis
Explanation: The answer is precise and accurately answe... | superman | 7 | NIv2 | task898_freebase_qa_answer_generation | fs_opt | [
0.31453460454940796,
0.12187585234642029,
0.20740917325019836,
-0.41273680329322815,
-0.48677879571914673,
-0.3125442862510681,
0.9866189956665039,
-0.4954410493373871,
0.16599003970623016,
-0.9089117050170898,
-0.8729327917098999,
0.43564552068710327,
-0.47579801082611084,
0.3670406341552... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
One example: このアイデアはとてもシンプルで
Solution is here: A ideia é muito, muito simples.
Explanation: The Japanese sentence is correctly translated into Portugese, because the meaning is preserved.
Now, solve this: ご存じでしょうか今日私たち... | Sabiam que hoje em dia temos um rebanho global de 60 mil milhões de animais para fornecer a nossa carne, laticínios, ovos e artigos em couro? | 6 | NIv2 | task1099_ted_translation_ja_pt | fs_opt | [
-0.42519569396972656,
0.471609890460968,
-0.010500779375433922,
-0.13972662389278412,
-0.9611430168151855,
-1.0123326778411865,
0.28843146562576294,
0.9548290967941284,
0.19979175925254822,
-0.7057338953018188,
-0.9310630559921265,
0.4272266626358032,
-1.0704584121704102,
0.415605783462524... |
instruction:
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
question:
What type of radiation is used in x rays?
answer:
What general type of... | When is harry potter and cursed child preview at Palace Theatre, London coming out?
| 9 | NIv2 | task670_ambigqa_question_generation | fs_opt | [
-0.2441781461238861,
0.4152336120605469,
-0.8085105419158936,
0.21915271878242493,
-0.7382021546363831,
-0.14607474207878113,
0.31111836433410645,
0.2992185354232788,
0.19376735389232635,
-0.34797707200050354,
0.07019715011119843,
-0.16013306379318237,
-0.6044129133224487,
-0.0709111243486... |
Q: In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
Is the three little pigs a fairy... | folktale | 7 | NIv2 | task669_ambigqa_answer_generation | zs_opt | [
-0.86888188123703,
0.26002204418182373,
-0.4869265854358673,
-0.09726884961128235,
-0.8523040413856506,
-0.8995537757873535,
0.8303859233856201,
0.13785557448863983,
-1.2431912422180176,
-0.2715594172477722,
-0.9159685969352722,
0.548507034778595,
-0.42144691944122314,
-0.6176955699920654,... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Example input: Comment: Enough already. Cut the... | Non-threat | 3 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.3813641667366028,
0.6055522561073303,
0.6040215492248535,
0.2971667945384979,
0.20230016112327576,
-0.9824872016906738,
0.042005494236946106,
0.6366668343544006,
-0.16569124162197113,
0.739505410194397,
-0.07113361358642578,
0.1507592499256134,
-0.5618319511413574,
-0.4696471691131592,
... |
Definition: In this task, you need to count the number of words in a sentence that contain the given letter
Input: Sentence: 'two giraffes next to trees eating their food'. How many words contain the letter 'm' in the sentence.
Output: | 0 | 2 | NIv2 | task161_count_words_containing_letter | zs_opt | [
-0.16219915449619293,
0.6537434458732605,
-0.13567805290222168,
-1.1023492813110352,
-0.3317754864692688,
0.14370036125183105,
-0.13577806949615479,
0.18773050606250763,
0.39995455741882324,
-0.5900884866714478,
-0.5768870115280151,
-0.92234867811203,
-0.8503780961036682,
0.079364545643329... |
Given the task definition and input, reply with output. 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).... | No | 5 | NIv2 | task1198_atomic_classification_owant | zs_opt | [
0.03193246200680733,
0.3224335312843323,
0.4258286952972412,
0.06740623712539673,
-0.36118170619010925,
-0.36056190729141235,
1.0662262439727783,
0.45651760697364807,
-0.42447108030319214,
-0.3295595645904541,
-0.46927571296691895,
-0.25131648778915405,
-0.9522037506103516,
0.2208137214183... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high... | U zult waarschijnlijk een kleine maat bar vinden in een kantoor popcorn winkel. | 1 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-0.5977164506912231,
0.6189191341400146,
-0.1470281183719635,
-0.44582656025886536,
-0.04134928807616234,
-0.09949613362550735,
0.5039509534835815,
-0.14501357078552246,
0.748389720916748,
-0.4913719892501831,
-0.3704708218574524,
0.45593827962875366,
-0.393219530582428,
0.3391404151916504... |
Detailed Instructions: 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 .
Q: Statement: लक्ष्मी निवास महल <MASK> के राजस्थान राज्य के बीकानेर ज़िले के महाराजा गंगासिंह... | भारत | 9 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | zs_opt | [
-0.19703492522239685,
0.5327680706977844,
0.1549152135848999,
-0.3783952593803406,
-0.2011106312274933,
-0.48431405425071716,
-0.7189599275588989,
0.8083083629608154,
-0.23589777946472168,
0.07395563274621964,
0.22486147284507751,
1.0026180744171143,
-0.11305928230285645,
-0.03629765659570... |
Given the task definition and input, reply with output. You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The... | loving care encouraging wise smart touching peaceful compationent my mom | 5 | NIv2 | task1711_poki_text_generation | zs_opt | [
-0.5494188070297241,
1.7261227369308472,
0.10986079275608063,
-0.7115640640258789,
-0.6691881418228149,
-0.09763206541538239,
0.19323068857192993,
0.729134202003479,
0.1566489338874817,
-0.3995724320411682,
-0.9357172250747681,
0.6126216053962708,
-0.7691437005996704,
-0.23917295038700104,... |
Definition: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns... | A man is playing music for extra money in the subway. | 2 | NIv2 | task184_snli_entailment_to_neutral_text_modification | zs_opt | [
-0.5059589743614197,
0.7030463218688965,
-0.3694092035293579,
-0.5216612815856934,
0.24035820364952087,
0.03399432823061943,
0.3676696717739105,
0.5152342915534973,
0.7516377568244934,
-0.6311802864074707,
-0.7206850051879883,
-0.3148668706417084,
-0.19988051056861877,
-0.07688308507204056... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of li... | [325381, 7, -144855, -19845, 1, -37, -21, 81, 0, 651, -273, 37, 1295, -5, 1] | 1 | NIv2 | task852_synthetic_multiply_odds | zs_opt | [
-0.12050459533929825,
0.44820407032966614,
-0.6287206411361694,
-0.007560277357697487,
0.20084556937217712,
0.2645256221294403,
0.8854736089706421,
0.52393639087677,
-0.03522888571023941,
0.23304972052574158,
-0.964107871055603,
-0.548914909362793,
-0.31685248017311096,
-0.3145315647125244... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Tamil language. The translation must not omit or add information to the original sentence.
Q: World Cancer Day 2019: Early detection of cancer significantly improves patient survival say experts.
A: | Others உலகப் புற்றுநோய் தினம் – புற்றுநோயை ஆரம்ப நிலையிலேயே கண்டுபிடிப்பதால் நோயாளிகள் பிழைப்பதற்கு வாய்ப்புகள் அதிகம் இருப்பதாக நிபுணர்கள் கருத்து | 9 | NIv2 | task991_pib_translation_english_tamil | zs_opt | [
0.295992910861969,
1.0401575565338135,
0.563042163848877,
-0.6565463542938232,
0.08608419448137283,
-1.8671998977661133,
0.08594337105751038,
-0.03069765493273735,
-0.294942170381546,
0.5593008399009705,
0.12552112340927124,
-0.01724112778902054,
-0.901965856552124,
0.8953248262405396,
-... |
Given the task definition and input, reply with output. Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide... | getting someone's car towed because they were illegally parked in a handicap space | 5 | NIv2 | task500_scruples_anecdotes_title_generation | zs_opt | [
-0.29683858156204224,
0.039650797843933105,
0.23864564299583435,
-0.27849042415618896,
-0.3893194794654846,
0.4217984080314636,
-0.09161947667598724,
0.9957166314125061,
0.38941770792007446,
0.2228216826915741,
-0.1424371600151062,
0.28994378447532654,
-0.01276914682239294,
-0.256510287523... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Ex Input:
[[-37, -48, 35, -13, 8], [13, -9, 48], ... | [-10290, -836, 0, 9576, -3038, 187308, -11550, -156]
| 1 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.08908797055482864,
-0.07509736716747284,
-0.9084863066673279,
-0.10111965984106064,
-0.09006126970052719,
-0.6385586261749268,
1.1557865142822266,
0.48752254247665405,
-0.5421785116195679,
-0.23687094449996948,
-0.8230777978897095,
0.2618376612663269,
-0.8736386299133301,
-0.291966795921... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | There is a group of three women playing softball.
| 1 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | fs_opt | [
-0.6934367418289185,
0.30940353870391846,
-0.3003690838813782,
0.06311281025409698,
0.20648908615112305,
-0.2760012149810791,
-0.6964129209518433,
0.7571277618408203,
0.2148534655570984,
-0.520093560218811,
-0.8482978940010071,
-0.29384422302246094,
0.06824129819869995,
-0.3614037334918976... |
Instructions: You will be given a passage with an enumerated set of facts, a question of form 'Where is <person_name>?', and its answer. The task is to identify a supporting fact that is necessary to answer the question. The output would be the corresponding fact number.
Input: Passage: Fact 1- Sandra journeyed to the ... | Fact 9 | 3 | NIv2 | task084_babi_t1_single_supporting_fact_identify_relevant_fact | zs_opt | [
0.3457164168357849,
0.8703196048736572,
-0.9465627670288086,
-0.7170697450637817,
-0.8533915281295776,
-0.5011622905731201,
0.7308703660964966,
0.12229152768850327,
-0.288806676864624,
0.22763383388519287,
-0.5212637186050415,
0.44042909145355225,
-0.8126012086868286,
-0.15036030113697052,... |
Instructions: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key... | SELECT avg(lat) , avg(long) FROM station WHERE city = "San Jose" | 3 | NIv2 | task107_splash_question_to_sql | zs_opt | [
0.6548365354537964,
0.6179485321044922,
-1.0836799144744873,
0.8591675758361816,
-0.3051717281341553,
-0.2905392050743103,
0.6626881957054138,
1.2528351545333862,
-0.43098151683807373,
0.4392763078212738,
-0.012551713734865189,
0.5160393118858337,
-0.04580311477184296,
0.3813939094543457,
... |
TASK DEFINITION: You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You shoul... | The dog ran happily to greet PersonX but warily avoided PersonY because it was not _ 's pet .
| 8 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
0.9358717799186707,
0.20867601037025452,
-0.42834797501564026,
0.061570629477500916,
0.46653977036476135,
-1.216296672821045,
1.460309624671936,
0.49819284677505493,
-0.3372013568878174,
-0.6401122808456421,
-0.17557893693447113,
0.3509291112422943,
-0.6676304936408997,
0.32669565081596375... |
Instructions: You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must n... | He lit a candle in his bedroom to cover the smell of dirty laundry; the _ smelled disgusting. | 3 | NIv2 | task031_winogrande_question_generation_object | zs_opt | [
0.6539235711097717,
0.5640702247619629,
0.172995924949646,
0.09905803948640823,
0.45982876420021057,
-0.7781069278717041,
0.5343733429908752,
1.1327086687088013,
-0.5936933755874634,
-0.39938852190971375,
-0.3546133041381836,
0.18388691544532776,
-0.35442471504211426,
-0.06372334808111191,... |
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Input: Consider Input: Article: She is a cute, quiet girl. As a daughter, she has no secrets from her mother, who is very pleased with her. But recently she has become somewhat mysterio... | Output: According to the writer's case study, which of the following cases can be defined as abuse?
| 2 | NIv2 | task311_race_question_generation | fs_opt | [
0.8524839878082275,
0.32361042499542236,
-0.3809702396392822,
0.09909772872924805,
0.1546190083026886,
-0.49754562973976135,
0.3538765609264374,
0.5207687616348267,
-0.12881097197532654,
-0.012563355267047882,
-0.14203757047653198,
0.862226128578186,
-0.6616884469985962,
0.1531995832920074... |
Teacher: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have ... | No | 2 | NIv2 | task1204_atomic_classification_hinderedby | fs_opt | [
0.6901312470436096,
-0.18134447932243347,
0.5631814002990723,
0.05583205074071884,
-0.19608068466186523,
-1.1385563611984253,
0.46627315878868103,
0.5570127964019775,
-0.6342408657073975,
0.03445328027009964,
-0.35620230436325073,
-0.4912256598472595,
-0.5211430191993713,
-0.24554899334907... |
You will be given a definition of a task first, then some input of the task.
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.
Gute Story, ent... | NEG | 1 | NIv2 | task480_cls_german_dvd_classification | zs_opt | [
-0.7615131735801697,
0.40664827823638916,
-0.48011183738708496,
-0.07471375167369843,
0.25654974579811096,
0.06992872059345245,
0.9721245169639587,
0.9304699897766113,
0.25775665044784546,
0.46793437004089355,
0.04420487955212593,
-0.24898338317871094,
0.11131379753351212,
-0.0770177617669... |
Instructions: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text... | (E) | 3 | NIv2 | task268_casehold_legal_answer_generation | zs_opt | [
0.2791082262992859,
0.15379077196121216,
-0.4666951298713684,
0.553605318069458,
-0.14832600951194763,
-0.7860860824584961,
0.09104294329881668,
0.8384112119674683,
-0.3206406533718109,
0.13194143772125244,
-0.8178353309631348,
0.11618615686893463,
-0.2954212725162506,
-0.08565671741962433... |
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