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 |
|---|---|---|---|---|---|---|
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 (reason) = [NO_DIFF (co... | Solution: ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_D... | 5 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.358972430229187,
-0.033133454620838165,
-0.13513541221618652,
0.23717884719371796,
0.5813900828361511,
-0.4955860674381256,
0.3066145181655884,
0.7989338636398315,
-0.2858365476131439,
0.30509427189826965,
0.04455815255641937,
-0.4922661781311035,
-0.49744221568107605,
-0.086134731769561... |
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Ex Input:
Polymer clay is formed to metal spring back barrettes, and are available in _ different styles.
Ex Output:
five
Ex Input:
Giraffes have two horns and _ or three knobs.
Ex Output:
two
Ex Inpu... | four
| 1 | NIv2 | task672_nummersense | fs_opt | [
-0.15932723879814148,
0.41836321353912354,
-0.536866307258606,
0.03965766355395317,
-0.044490113854408264,
0.07578656822443008,
0.2577133774757385,
0.797234296798706,
-0.24818962812423706,
0.10717934370040894,
-0.10301677882671356,
0.8776115775108337,
-0.28771257400512695,
0.46774113178253... |
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Q: [-85, 405, -925, -573, 472, 792, -419, 493, -485, -630, -883, -681, -763]
A: | [-80, 400, -920, -570, 470, 790, -420, 490, -480, -630, -880, -680, -760] | 4 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-1.1410000324249268,
0.3354969024658203,
-0.13659659028053284,
-0.4608226418495178,
-0.3171859383583069,
-0.33162355422973633,
0.9927566647529602,
-0.38217490911483765,
-0.6292139291763306,
-0.14157405495643616,
-0.43216806650161743,
0.09085731208324432,
-0.6089156866073608,
0.033245913684... |
Given the task definition and input, reply with output. In this task, you are given a sentence in Persian, and your task is to translate it into English.
در تاریخ چهارم مارس، جابر ماجری که به دلیل انتشار عکسهای محمد، پیامبر مسلمانان، به زندان افتاده بود، آزاد شد.
| Jabeur Mejri, jailed for posting Prophet Muhammad cartoons on Facebook, was freed yesterday . | 5 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
0.0303356871008873,
0.1850353479385376,
-0.41495752334594727,
0.24291084706783295,
-0.36833226680755615,
0.18445804715156555,
0.4331815242767334,
0.6085828542709351,
0.27701976895332336,
-0.13261453807353973,
-0.6595073938369751,
0.28810107707977295,
0.22004620730876923,
-0.049800667911767... |
Given the task definition, example input & output, solve the new input case.
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equall... | It was easy for PersonX to obtain a pay rise but not for PersonY was _ was very dedicated. | 1 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
0.6842272281646729,
0.47639501094818115,
-0.14380791783332825,
0.294800728559494,
0.36104437708854675,
-0.12433779239654541,
0.37470102310180664,
1.1487774848937988,
-0.1418694257736206,
-0.52705979347229,
-0.261894166469574,
-0.1178133636713028,
-0.3290942907333374,
-0.225540429353714,
... |
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... | Yes
| 7 | NIv2 | task1209_atomic_classification_objectuse | fs_opt | [
0.353052020072937,
-0.06244395300745964,
-0.08391251415014267,
0.21662341058254242,
-0.5136674642562866,
-1.225947380065918,
1.1620665788650513,
0.6304348111152649,
-0.49217328429222107,
-0.1482851505279541,
-0.459917277097702,
-0.12489663809537888,
-0.2391299605369568,
0.06889655441045761... |
Definition: 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 t... | (7, 8) | 2 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.44726794958114624,
0.5275408625602722,
-0.3609943985939026,
-0.29031527042388916,
0.26474615931510925,
-0.2860432267189026,
0.5191793441772461,
0.4747040867805481,
0.49227800965309143,
-0.30963099002838135,
-0.5123149752616882,
0.25309035181999207,
-0.27400070428848267,
-0.0580347031354... |
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... | police punishment
| 5 | NIv2 | task143_odd-man-out_classification_generate_category | fs_opt | [
-0.12756726145744324,
-0.20714262127876282,
-0.3832065761089325,
0.23299473524093628,
0.06490456312894821,
-0.25859516859054565,
-0.6123860478401184,
0.5946296453475952,
0.22903744876384735,
-0.044682808220386505,
-0.17715749144554138,
0.21349425613880157,
-0.20460869371891022,
-0.19933657... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as ... | Non-obscene
| 7 | NIv2 | task326_jigsaw_classification_obscene | fs_opt | [
-0.6148521900177002,
0.3929503858089447,
0.26429641246795654,
0.1373915821313858,
0.05982126668095589,
-0.5135918855667114,
-0.014203331433236599,
0.5255461931228638,
0.4699360728263855,
0.5473771095275879,
-0.06656962633132935,
-0.06008218601346016,
0.08978530764579773,
-1.018296480178833... |
Definition: You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Input: Właśnie w tym duchu podejmuję dyskusję o jednym z najważniejszych tematów naszych czasów, a mianowicie, jak mobilizować różne formy kapitału na potrzeby budowania państwa.
Output: | با همین روحیه است که من به بحثی محلق می شوم که یکی از بحرانی ترین مسائل زمان ما است ، معروف به چگونگی انتقال انواع متفاوت سرمایه برای پروژه دولت سازی است. | 2 | NIv2 | task1263_ted_translation_pl_fa | zs_opt | [
-0.5382630825042725,
1.0157356262207031,
-0.007352410349994898,
0.025403931736946106,
-0.5656504034996033,
0.23317423462867737,
1.038355827331543,
0.051649317145347595,
0.24231195449829102,
0.25180259346961975,
-0.4570973515510559,
0.16791561245918274,
-0.2850967049598694,
0.30285683274269... |
Given the task definition and input, reply with output. You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
تعدّ إندونييسيا اليوم ديموقراطيةً جديرةً بالإحترام جداً.
| באינדונזיה כיום שולטת דמוקרטיה מכובדת למדי. | 5 | NIv2 | task1233_ted_translation_ar_he | zs_opt | [
-0.34465569257736206,
0.654189944267273,
0.7262223958969116,
-0.2238064408302307,
-0.9837164878845215,
0.08567944169044495,
0.5684739351272583,
-0.29088854789733887,
0.04416266083717346,
-0.5057139992713928,
-0.6817750334739685,
0.2214173972606659,
-0.36640292406082153,
0.1312536746263504,... |
Definition: In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
Input: उसका तात्कालिक आदर्श तो यही था कि वहीं बस ... | Hindi | 2 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
-0.48778870701789856,
0.19294439256191254,
0.4700983762741089,
0.07604002952575684,
-0.01651585102081299,
-0.6740177869796753,
0.1603066623210907,
0.30139780044555664,
0.16481727361679077,
-0.43934792280197144,
-0.18697673082351685,
0.0459589958190918,
0.023868296295404434,
-0.026436349377... |
Given the task definition and input, reply with output. Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
ច្បាប់មួយរបស់រដ្ឋល្វីសៀណាត្រូវបានចូលជាធរមាននៅឆ្នាំ1995អនុញ្ញាតអោយផ្តន្ទាទោសប្រហារជីវ... | ルイジアナ州の法律では、12歳(後に13歳に改められる)未満の子供を強姦した人に対する死刑を1995年に認めている。 | 5 | NIv2 | task1122_alt_khm_ja_translation | zs_opt | [
-0.2470739632844925,
0.23177708685398102,
0.061338409781455994,
-0.2336086928844452,
-0.6633106470108032,
0.23956727981567383,
0.3192873001098633,
0.28247350454330444,
-0.7971861362457275,
0.029244016855955124,
-0.3665388822555542,
0.4163859486579895,
-1.1100423336029053,
0.407683491706848... |
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: We must insist today as a matter of urgency on the right to education and the duty to remember, to recal... | No
| 3 | NIv2 | task532_europarl_en-es_classification | fs_opt | [
0.15990358591079712,
0.29370415210723877,
0.7671778202056885,
-0.12116149067878723,
0.278719037771225,
-0.7719557285308838,
0.38543933629989624,
1.177255630493164,
-0.13775435090065002,
-0.1457028090953827,
-0.12094103544950485,
0.805331826210022,
-0.28770843148231506,
-0.5698987245559692,... |
instruction:
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. Rememb... | The patient used the inhaler to fight the asthma attack but the _ was too weak.
| 9 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.6635010838508606,
0.20050247013568878,
0.05849253386259079,
-0.34633544087409973,
0.5980123281478882,
-0.8206366300582886,
0.8796737194061279,
1.190280795097351,
-0.634229302406311,
-0.3812538981437683,
-0.5172847509384155,
0.2095918208360672,
-0.42916467785835266,
0.0009877949487417936,... |
Instructions: You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Input: Watch what happens when the foot goes onto your sandwich.
Output: | Miren lo que sucede cuando el pie entra en un sandwich. | 3 | NIv2 | task1219_ted_translation_en_es | zs_opt | [
-0.08319461345672607,
0.8783208131790161,
-0.48373010754585266,
0.36011695861816406,
-0.27204570174217224,
0.6421838998794556,
-0.048426371067762375,
1.0481668710708618,
0.032268960028886795,
-0.6091434359550476,
0.10089033842086792,
-0.2233455777168274,
-0.5043596625328064,
-0.18199674785... |
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: 'a group of cows standing next to a wire fence'. How many words end with the letter 's' in the sentence.
1
Sentence: 'a group of people standing around a busted fire hydrant'.... | 2
| 0 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
0.006581488065421581,
1.0917704105377197,
-1.0008282661437988,
-0.549236536026001,
-0.8709102869033813,
-0.7024135589599609,
0.15051980316638947,
0.3369626998901367,
0.30045491456985474,
-0.19483518600463867,
-0.14654198288917542,
0.3499213457107544,
0.052667442709207535,
0.080683194100856... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Input: Consider Input: Il secondo segnale è stato far saltare tutti contemporaneamente.
Output: A segunda instrución era para que todos saltasen xuntos.
Input: Consider Input: Com'è possibile che, per decenni, abbiamo ... | Output: Mais tamén hai alucinacións, e as alucinacións son completamente diferentes.
| 2 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
-0.5624167919158936,
1.1706295013427734,
-0.45138275623321533,
-0.24022769927978516,
0.03427158668637276,
-0.49623677134513855,
-0.07331478595733643,
1.2820169925689697,
-0.009746642783284187,
-0.22982928156852722,
-0.3384326100349426,
0.6458131074905396,
-0.37947607040405273,
0.2799305319... |
Given the task definition and input, reply with output. In this task, you are given a premise sentence in Persian and a label in English. Label determines whether a hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. You have to generate the hypothesis sentence based on t... | این شکست سکوی پرتابی شد. | 5 | NIv2 | task464_parsinlu_entailment_sentence_generation | zs_opt | [
-1.419122338294983,
0.16159096360206604,
0.5076799392700195,
0.08006014674901962,
-0.043757885694503784,
0.06269268691539764,
0.6000954508781433,
0.0518728569149971,
0.24571493268013,
-0.4571682810783386,
-0.7537099123001099,
0.16255080699920654,
-0.2813475728034973,
0.3211731016635895,
... |
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 an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the li... | Alphabets Win | 0 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | fs_opt | [
0.060721129179000854,
0.49229535460472107,
-0.3567740023136139,
0.20912255346775055,
-0.027290647849440575,
-0.4150267243385315,
-0.2195020616054535,
0.14850366115570068,
-0.3739602863788605,
0.049561478197574615,
-0.955879807472229,
-0.025182172656059265,
-0.11127568036317825,
0.262740790... |
Q: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
Sentence 1: Judicial decisions do not stand as bi... | government | 7 | NIv2 | task197_mnli_domain_answer_generation | zs_opt | [
-1.1249542236328125,
0.5071258544921875,
0.14087516069412231,
-0.15088152885437012,
-0.02752785012125969,
0.000009431270882487297,
0.3158525228500366,
0.8395687341690063,
-0.02826976776123047,
-0.064000204205513,
-0.3133392333984375,
0.07218435406684875,
-0.5614150762557983,
-0.38827779889... |
You are given a statement written in Marathi. 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: उत्तराखंड व झारखंड राज्यांमध्ये मुलांच्या आयांना या योजनेत समाविष्ट करून घ... | लखनौ | 8 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
0.1223815381526947,
0.6585102081298828,
-0.33986973762512207,
-0.4945406913757324,
-0.5860064625740051,
0.22457511723041534,
0.03029041923582554,
1.654035210609436,
-0.4661428928375244,
-0.16175374388694763,
-0.2376071810722351,
0.07363639771938324,
-0.5649005174636841,
-0.0575810745358467... |
Part 1. Definition
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Part 2. Example
Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.
Answer: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes.
Explanat... | Despois collemos eses conceptos clave e fan algo como a estrutura matemática dunha idea. | 7 | NIv2 | task1261_ted_translation_pl_gl | fs_opt | [
-0.7151302099227905,
0.9131817817687988,
-0.18211117386817932,
-0.8154159784317017,
-0.07031816244125366,
-0.6584817171096802,
1.4345121383666992,
0.199770987033844,
-0.06235624477267265,
-0.04438082128763199,
-0.767981767654419,
0.8293511867523193,
-0.1464715600013733,
0.00891901180148124... |
Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Input: E é hora de que o noso currículo de matemáticas cambie de analóxico a dixital. Da máis clásica, matemática continua a unha máis moderna, matemática discreta. A matemática da incerteza, do azar de dato... | And it's time for our mathematics curriculum to change from analog to digital, from the more classical, continuous mathematics, to the more modern, discrete mathematics — the mathematics of uncertainty, of randomness, of data — that being probability and statistics. | 3 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.8954384326934814,
0.340753972530365,
0.0782412439584732,
-0.9301456809043884,
-0.3123514652252197,
0.11075636744499207,
0.24671828746795654,
0.5426065325737,
0.6238980889320374,
0.15173661708831787,
-0.4044015407562256,
0.5575829148292542,
-0.16840745508670807,
0.09457729011774063,
0.... |
Detailed Instructions: Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Q: Somali sentence: 7 Kolkaasaa Muuse wuxuu Haaruun ku yidhi, Meesha allabariga u dhowow, oo waxaad bixisaa qurbaankaaga dembiga iyo qurbaankaaga la gubo, oo nafsadd... | 7 And he said to Aaron: Approach to the altar, and offer sacrifice for thy sin: offer the holocaust, and pray for thyself and for the people: and when thou hast slain the people's victim, pray for them, as the Lord hath commanded. | 9 | NIv2 | task450_opus_paracrawl_so_en_translation | zs_opt | [
0.7380514144897461,
1.500171422958374,
0.030976204201579094,
-1.0823795795440674,
-0.11084555089473724,
-1.0388877391815186,
-0.12745290994644165,
0.3124734163284302,
0.44596970081329346,
-0.3229939639568329,
0.36663663387298584,
0.3940560817718506,
-0.6279410719871521,
-0.0397630482912063... |
Q: Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and... | The kids had put on their swimsuits and were ready to splash in the water all evening! Everyone was greatly disappointed. We'll have to be coming back to the pool this Sunday. | 7 | NIv2 | task269_csrg_counterfactual_story_generation | zs_opt | [
0.2541428804397583,
0.1380338817834854,
-0.05890977755188942,
-0.06797952950000763,
-0.3678293824195862,
-1.3630610704421997,
-0.08275692164897919,
0.6923226714134216,
-0.008458662778139114,
-0.20224325358867645,
-0.5942838191986084,
-0.1908828765153885,
-0.19615721702575684,
-0.0739408954... |
Instructions: In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.
Input: Do you like horror movies?
Output: | Y has just moved into a neighbourhood and meets his/her new neighbour X. | 3 | NIv2 | task567_circa_text_generation | zs_opt | [
0.030970627442002296,
0.2309333086013794,
-0.2580338716506958,
0.6216495037078857,
-0.16908493638038635,
-0.1061231940984726,
0.4208170771598816,
0.057986363768577576,
0.06289346516132355,
-0.303766131401062,
-0.7554301023483276,
-0.7822264432907104,
-0.7371666431427002,
-0.008448375388979... |
You are given a list of queries separated by new line. Your job is to answer with the query that is the most well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
How many muscles are in the human gody ?
What kind of degree do you need to become an immgration lawyer ?
In what coun... | Who discovered the flag of france ?
| 0 | NIv2 | task675_google_wellformed_query_sentence_generation | fs_opt | [
0.06954248249530792,
0.17781805992126465,
-0.44887256622314453,
-0.5403708219528198,
-0.29386454820632935,
-0.10126068443059921,
0.3535759449005127,
-0.4636254608631134,
0.3940085768699646,
-0.3799043297767639,
-0.41527652740478516,
-0.2772340178489685,
-0.568434476852417,
0.13733693957328... |
Given a statement, generate a question such that the answer is contained in that statement.
Example input: Neurons deliver electrical impulses to other cells
Example output: What do neurons deliver to other cells?
Example explanation: The question generated is valid regarding the information in the statement.
Q: anima... | Animals with what type of animals are dominant? | 3 | NIv2 | task1580_eqasc-perturbed_question_generation | fs_opt | [
-0.4944697618484497,
0.44009461998939514,
-0.31778013706207275,
0.01955523155629635,
-1.0622961521148682,
-0.8739606738090515,
0.12580984830856323,
0.355838418006897,
0.5146101713180542,
-0.23760589957237244,
0.15942364931106567,
0.5647068023681641,
-1.2368186712265015,
0.21162784099578857... |
Teacher:In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You... | Yes | 6 | NIv2 | task1198_atomic_classification_owant | zs_opt | [
0.14017212390899658,
0.14536699652671814,
0.4520770311355591,
-0.19177506864070892,
-0.4899795651435852,
-0.757882297039032,
1.245550513267517,
0.24837668240070343,
-0.5186928510665894,
-0.6403416395187378,
-0.13787366449832916,
-0.43794405460357666,
-0.7685940265655518,
0.4259229302406311... |
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.
--------
Question: Title: Mortgage. Sentence 1: She had to ... | It was a fun day as a family.
| 7 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
-0.057987820357084274,
0.5519716739654541,
-0.4583553075790405,
-0.39961960911750793,
0.19537261128425598,
-0.4911785423755646,
0.3247464895248413,
1.063035488128662,
-0.27588868141174316,
0.07694049924612045,
-0.1796187311410904,
-0.28747475147247314,
-0.6494691371917725,
-0.1066907793283... |
In this task you are expected to fix an SQL query based on feedback. You will be given an SQL statement and an English description with what is wrong about that SQL statement. You must correct the SQL statement based off of the feedback. An SQL query works by selecting data from a table where certain conditions apply. ... | SELECT name FROM instructor WHERE dept_name = 'Comp. Sci.' AND salary > 80000 | 0 | NIv2 | task076_splash_correcting_sql_mistake | zs_opt | [
0.3129289150238037,
0.46916699409484863,
-1.0463416576385498,
0.8913091421127319,
-0.31670480966567993,
-0.35588741302490234,
0.5886788964271545,
0.684389591217041,
-0.4593716859817505,
0.5145734548568726,
0.1882188618183136,
0.19982735812664032,
0.08484899997711182,
0.44424641132354736,
... |
A text is given in Hindi. Translate it from the Hindi language to the Telugu language. The translation must not omit or add information to the original sentence.
Ex Input:
org అనే పేరుతో ఉన్న ఎన్ టిటీ జారీ చేసిన విషయం కూడా తమ పరిశీలనకు వచ్చిందని పెట్రోలియమ్, సహజవాయువు మంత్రిత్వ శాఖ పేర్కొంది.
Ex Output:
यह स्पष्ट किय... | दिना थांथी समाचारपत्र की प्लेटिनम जयंती के अवसर पर चेन्नई में प्रधानमंत्री का संबोधन
| 1 | NIv2 | task1046_pib_translation_telugu_hindi | fs_opt | [
-0.03513050079345703,
0.19882670044898987,
0.08894342929124832,
0.14878177642822266,
-0.4697084426879883,
-1.245237946510315,
0.0672975480556488,
-0.22718007862567902,
0.008924910798668861,
0.49497923254966736,
0.3286588490009308,
-0.4542255997657776,
-0.926733136177063,
0.0075026559643447... |
Q: The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output... | No | 7 | NIv2 | task359_casino_classification_negotiation_vouch_fair | zs_opt | [
-0.2341906726360321,
0.36383360624313354,
-0.035679541528224945,
0.028594383969902992,
-0.5341047048568726,
-1.1661076545715332,
0.8357775807380676,
0.8147422075271606,
0.12788832187652588,
0.21463875472545624,
0.7365317344665527,
-0.2518117427825928,
-1.2884353399276733,
-0.13581040501594... |
Instructions: In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
Input: 2 pkg. frozen chopped broccoli, 1 c. mayonnaise, 1 can cream of mushroom soup, 2 eggs, 1 c. grated cheese, 1 Tbsp. onion, 1 pkg. Ritz or... | broccoli, mayonnaise, cream of mushroom soup, eggs, grated cheese, onion, crackers, butter | 3 | NIv2 | task570_recipe_nlg_ner_generation | zs_opt | [
0.21177136898040771,
0.09138230979442596,
0.04742460325360298,
0.8444534540176392,
-0.2878035306930542,
-0.028684156015515327,
1.015376091003418,
0.4228348731994629,
-0.07963262498378754,
-0.280036062002182,
-0.5173733830451965,
-0.00040785735473036766,
-0.9508242011070251,
-0.457017153501... |
Given the task definition and input, reply with output. Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
The Cocos Islands in the Indian Ocean are a territory of which country?
| cocos (keeling) islands | 5 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
0.8852844834327698,
0.6139646768569946,
-0.27020150423049927,
0.17090213298797607,
-0.5499627590179443,
0.16459427773952484,
0.6652134656906128,
0.07443586736917496,
-0.5919098854064941,
-0.3307172358036041,
-0.17364001274108887,
-0.4417780637741089,
-0.2735704779624939,
0.1203991025686264... |
Detailed Instructions: In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
Q: گفتند: «دختر را بخوانیم و اززبانش بپرسیم.»
A: | And her brother and her mother said, Let the damsel abide with us a few days, at the least ten; after that she shall go. | 9 | NIv2 | task654_bible_fa_en_translation | zs_opt | [
0.04660153388977051,
1.1253917217254639,
-0.013147464953362942,
-0.7721062898635864,
-0.32204103469848633,
-0.6171393394470215,
0.786140501499176,
-0.18397963047027588,
0.9648622870445251,
-0.277213990688324,
-0.22590096294879913,
0.25558751821517944,
-0.644342303276062,
0.4089698791503906... |
instruction:
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
question:
Reviews: Updated review- wor... | False
| 9 | NIv2 | task1308_amazonreview_category_classification | fs_opt | [
0.08382964879274368,
0.6231739521026611,
-0.4974198341369629,
-0.22525548934936523,
0.11276496201753616,
-0.22305703163146973,
0.0810728594660759,
0.6854583621025085,
-0.07427062839269638,
0.7565351724624634,
-0.230753555893898,
0.6551030278205872,
-0.37522339820861816,
-0.3657572567462921... |
In this task, you are given a hateful post in English from online platforms. You are expected to classify the post into two classes: aggresive or non-aggresive. An aggresive post is one that expresses feelings and opinions in an abusive way and tries to dominate others. Note that the URLs in the text have been replaced... | Aggresive
****
| 4 | NIv2 | task335_hateeval_classification_aggresive_en | fs_opt | [
-0.17151674628257751,
0.6469191312789917,
0.696760892868042,
0.5105410218238831,
-0.2810189723968506,
-0.6802686452865601,
0.27709096670150757,
1.2138404846191406,
0.4309871196746826,
0.7530282735824585,
0.16859087347984314,
0.21769577264785767,
0.052672579884529114,
-0.7990901470184326,
... |
You will be given a definition of a task first, then some input of the task.
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 th... | AUTHOR | 1 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | zs_opt | [
0.28397977352142334,
0.5435779690742493,
0.07294157147407532,
0.4905102849006653,
0.03170035779476166,
-0.31529009342193604,
0.5730248689651489,
0.570117712020874,
0.43219178915023804,
0.20156395435333252,
0.0362730473279953,
0.4002061188220978,
-0.8611025810241699,
-0.27072909474372864,
... |
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 _. Your answer should be chosen from the given text, and should not contain other words.
Travis Marks: This is my pa... | partner | 0 | NIv2 | task401_numeric_fused_head_reference | zs_opt | [
0.08104859292507172,
0.7563549280166626,
-0.5881004333496094,
-0.3444907069206238,
-0.4954949617385864,
0.05190187692642212,
1.437057375907898,
0.5934423208236694,
0.12251684069633484,
0.2371787577867508,
-0.9987599849700928,
0.3321811854839325,
-0.36354005336761475,
0.005177222192287445,
... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Ex Input:
['r', 'z', 'u', 'D', '3449', 'E', 'f', 'w', '1627', '4093', '955', 'i', 's', 'R', 'b', '9773', '2169', 'M', '9305', '4775']
Ex Output:
36146
Ex Input:
['3629', '8785', '9537... | 52522
| 1 | NIv2 | task499_extract_and_add_all_numbers_from_list | fs_opt | [
-0.06759893894195557,
0.07550273835659027,
-0.6608518362045288,
-0.7731688618659973,
-0.00035461457446217537,
-0.06014891713857651,
0.13811162114143372,
0.4632343649864197,
-0.6519144773483276,
0.08192647248506546,
-1.2452342510223389,
0.2790316343307495,
0.2668312191963196,
-0.41958883404... |
Detailed Instructions: Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Problem:Which Reggae act topped the US Charts in 1990 with Close to You?
Solution: | close to you | 8 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
0.5315852761268616,
0.8938031196594238,
-0.11181314289569855,
-0.03766145557165146,
-0.863366425037384,
-0.7832790613174438,
0.2135099470615387,
-0.12584301829338074,
-0.06327282637357712,
0.6728533506393433,
-0.23254376649856567,
0.22062668204307556,
-0.7041237354278564,
-0.23744302988052... |
instruction:
This task is about identifying the subject of a given sentence. The subject of a sentence is the person, place, or thing that is performing the action of the sentence. The subject represents what or whom the sentence is about. Each sentence in this task is guaranteed to contain a single subject. The input ... | California 10
| 9 | NIv2 | task1411_dart_subject_identification | fs_opt | [
0.25983795523643494,
-0.01589116081595421,
-0.23188936710357666,
-0.17633256316184998,
-0.331937313079834,
-0.43868058919906616,
0.2743080258369446,
0.3986104428768158,
0.05971776694059372,
0.4789142906665802,
-0.6964572072029114,
-0.00046693719923496246,
-0.09954693913459778,
0.0290887169... |
In this task, you are given a sentence and question which can be answered using the sentence. Your task is to answer the question using the information from the sentence. The answer to the question is unique and it is a continuous text span from the sentence.
Sentence: Created as a result of a 20-year broadcast partne... | the conference and ESPN Inc. ### the two entities | 0 | NIv2 | task1520_qa_srl_answer_generation | zs_opt | [
-0.629658579826355,
0.3348647952079773,
-0.05029059946537018,
-0.006277734413743019,
-0.07059240341186523,
0.06946410983800888,
0.8097115755081177,
-0.3651825487613678,
0.7053396701812744,
-0.5989246368408203,
-0.19704876840114594,
0.9922960996627808,
-1.2509987354278564,
-0.05817310512065... |
In this task, you are given a text which is the body of a document. Your job is to classify the topic of the document into these categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office Holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)Album, 13)Fil... | 5
| 1 | NIv2 | task629_dbpedia_14_classification | fs_opt | [
-0.2064325213432312,
-0.18272975087165833,
-0.1930226981639862,
-0.15445560216903687,
0.25297045707702637,
-0.7304323315620422,
0.0692843347787857,
0.703762412071228,
-0.7043187618255615,
-0.050632230937480927,
-0.16741961240768433,
0.4332994222640991,
-0.3875754177570343,
-0.0132439173758... |
Teacher:In this task, your goal is to judge a correct answer to a given question based on an associated paragraph and decide if it is a good correct answer or not. A good correct answer is one that correctly and completely answers the question. A bad correct answer addresses the question only partially or incorrectly. ... | No. | 6 | NIv2 | task056_multirc_classify_correct_answer | zs_opt | [
0.3337733745574951,
0.4283965528011322,
-0.3499888777732849,
0.2486395239830017,
0.20621848106384277,
-1.0545823574066162,
0.5494212508201599,
1.0883790254592896,
-0.0902470201253891,
0.03605923801660538,
-0.30817699432373047,
0.4782596528530121,
-0.49180957674980164,
-0.6723501086235046,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must b... | [['Al Asad Airbase', 'OPERATING_ORGANISATION', 'United States Air Force'], ['United States Air Force', 'ATTACK_AIRCRAFT', 'Lockheed AC-130'], ['United States Air Force', 'BATTLES', 'Korean War'], ['United States Air Force', 'TRANSPORT_AIRCRAFT', 'Lockheed C-130 Hercules'], ['United States Air Force', 'BATTLES', 'Operat... | 0 | NIv2 | task1410_dart_relationship_extraction | fs_opt | [
-0.04751721769571304,
0.23544743657112122,
-1.0483962297439575,
-0.6818746328353882,
-0.03219568729400635,
0.25051867961883545,
0.8530296087265015,
0.7146521806716919,
0.317396879196167,
-0.1243557557463646,
-0.7836544513702393,
-0.17624753713607788,
-0.08979399502277374,
0.696023821830749... |
Definition: In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
Input: ['X', '5083', 'B']
Output: | X, B | 2 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | zs_opt | [
0.1194768100976944,
0.2715581953525543,
-0.6341599822044373,
0.16490811109542847,
-0.03406711667776108,
0.007019621320068836,
1.075791597366333,
-0.2647782564163208,
0.8297586441040039,
0.234866201877594,
-0.10862083733081818,
-0.364518940448761,
0.23829218745231628,
-0.4899386167526245,
... |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one tha... | b
| 0 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
0.22729180753231049,
0.41549956798553467,
0.1080528199672699,
0.29749053716659546,
0.194156676530838,
0.06514592468738556,
-0.1310405433177948,
1.1980540752410889,
0.05216045305132866,
-0.04579917713999748,
-0.7722405791282654,
-0.19582834839820862,
0.017420955002307892,
-0.557601213455200... |
Teacher: You are given a statement written in Assamese. 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 .
Teacher: Now, understand the problem? If you are still confused, see the following example:
Statement: ৰ... | গড়গাঁৱৰ | 2 | NIv2 | task944_wiki_cloze_as_multiple_choice_question_answering | fs_opt | [
-0.08897854387760162,
0.534206748008728,
0.18758779764175415,
0.21560660004615784,
-0.18728090822696686,
0.02227131277322769,
-0.13875477015972137,
0.8310965299606323,
0.47498664259910583,
0.04483393207192421,
0.3846989572048187,
1.0563924312591553,
-0.9931843280792236,
-0.3845531642436981... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
אחד הדברים שמחזקים את זה, זה רעיון העמידות. | Jedną z rzeczy, która jednoczy ludzi wokół przemiany jest elestyczność. | 0 | NIv2 | task1112_ted_translation_he_pl | zs_opt | [
-0.8860039710998535,
1.1063499450683594,
0.4206646978855133,
-0.2120465487241745,
-0.04616817459464073,
-0.6204434633255005,
1.2528893947601318,
-0.19219976663589478,
0.6682620048522949,
-0.9553162455558777,
-0.901299238204956,
0.1288219690322876,
-0.8241875171661377,
0.5200343728065491,
... |
Definition: In this task, you have to generate the title of the recipe given its required ingredients and directions.
Input: ingredients: '6 thick boneless pork chops', 'flour', '1/4 - 1/2 c. olive oil', '3 cloves garlic', '1 lg. onion, finely chopped', '1 small can tomato paste', '1 c. boiling water', '1 c. white coo... | Ada Style Pork Chops | 2 | NIv2 | task569_recipe_nlg_text_generation | zs_opt | [
0.2976929247379303,
0.38273346424102783,
-0.35048550367355347,
0.9814938902854919,
0.10974009335041046,
-0.0056581152603030205,
0.46470189094543457,
1.0334943532943726,
-0.15747466683387756,
0.10179416835308075,
0.017989540472626686,
-0.2061557173728943,
-0.618995189666748,
0.0742638111114... |
TASK DEFINITION: Given a question, generate a paraphrase of that question wihout changing the meaning of it. Your answer should reword the given sentence, but not add information to it or remove information from it. The answer to your question should be the same as the answer to the original question.
PROBLEM: Question... | what years did cale yarborough win winston cup champs?
| 8 | NIv2 | task442_com_qa_paraphrase_question_generation | fs_opt | [
0.5174807906150818,
0.4174267649650574,
-0.2200770080089569,
-0.5659346580505371,
-0.3182569444179535,
-0.015715915709733963,
1.2690205574035645,
0.7976694107055664,
-0.20433346927165985,
-0.1369723677635193,
-0.34569019079208374,
0.5304584503173828,
-0.6651520729064941,
1.0373575687408447... |
In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
Q: 1. I'm grateful for love.\n2. I'm grateful for miracles.\n3. I'm grateful for music.\n#beatdepression #grateful
A: | Happy | 4 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | zs_opt | [
-1.4256765842437744,
0.39451074600219727,
0.586452305316925,
-0.2571772336959839,
0.115404412150383,
-0.8133903741836548,
0.5742331147193909,
-0.2494625598192215,
0.5900669693946838,
0.013533747754991055,
-0.6273015737533569,
-0.016799774020910263,
-0.3784652650356293,
-0.03332106769084930... |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
هناك 98 دولة منتجة للنفط في العالم.
A: | کشورهای تولید کننده نفت در دنیا ۹۸ تا هستند. | 7 | NIv2 | task1108_ted_translation_ar_fa | zs_opt | [
0.22914060950279236,
1.2558205127716064,
0.28451842069625854,
-0.44471755623817444,
-0.6106613874435425,
0.17763912677764893,
0.38285568356513977,
0.2050892859697342,
0.27268683910369873,
0.33472737669944763,
-0.9229355454444885,
-0.2198910415172577,
-0.40260809659957886,
0.203273504972457... |
In this task, a passage will be given and the goal is to identify an event from the passage. An event is defined as a single word representing something that happened, is happening, or may happen. An event can be factual or hypothetical, positive or negative, certain or uncertain. While most events are based on verbs, ... | charged | 4 | NIv2 | task388_torque_token_classification | zs_opt | [
0.8179500102996826,
0.2879599332809448,
-0.49600422382354736,
-0.20390141010284424,
0.17070375382900238,
-0.4360119700431824,
0.7981265783309937,
0.7841712236404419,
0.13163617253303528,
0.10601697862148285,
-0.7957901358604431,
-0.045237645506858826,
-0.7782847881317139,
0.121921353042125... |
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Example Input: Ice Soldiers, when was it released?
Example Output: 2013
Example Input: how popular is Fever Pitch?
Example Output: famous
... | English
| 3 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.18420888483524323,
0.2937898635864258,
-0.9459565877914429,
0.16983865201473236,
0.07039347290992737,
-0.4295569658279419,
1.0938975811004639,
-0.14004042744636536,
-0.03643566370010376,
-0.11419911682605743,
-0.15698662400245667,
-0.2813273072242737,
-0.6578112244606018,
-0.45469939708... |
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
Input: והנקודה השניה היא שאנו זקוקים לאמצעים ברי-קיימא להפקת כוח בכל מקרה, להפקת חשמל.
Output: | E, então, o outro ponto é que nós temos de ter meios sustentáveis de produção de energia de qualquer modo, de produção de eletricidade. | 3 | NIv2 | task1114_ted_translation_he_pt | zs_opt | [
-0.018668439239263535,
1.336938738822937,
-0.02991895191371441,
-0.2615237236022949,
-0.9519131779670715,
-0.46017688512802124,
0.09581227600574493,
0.7250454425811768,
0.6759978532791138,
-0.37071099877357483,
-1.2495230436325073,
0.015246326103806496,
-0.7127894163131714,
-0.254442840814... |
Definition: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
... | 1, 3, 6 | 2 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | zs_opt | [
-0.2007189840078354,
0.4012528657913208,
-0.15251509845256805,
-0.46216881275177,
0.17958581447601318,
0.02341986447572708,
0.8547171354293823,
-0.003452849807217717,
-0.2109469175338745,
0.04999719560146332,
-0.6402184963226318,
0.02235347032546997,
0.2501160800457001,
0.12225092202425003... |
Instructions: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list... | 3, 4, 5, 6 | 3 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | zs_opt | [
0.02298412099480629,
0.7772396802902222,
0.058579012751579285,
-0.7684646248817444,
0.23345908522605896,
-0.3405609130859375,
1.014198899269104,
0.11383318901062012,
-0.5024000406265259,
-0.17503204941749573,
-0.5407642722129822,
0.080013707280159,
-0.15180736780166626,
-0.3743760585784912... |
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 consistency, answers should be in all lower cased letters.
Category: LAST NAME'S THE SAME
Clue: Judy, Ossie, Geena | davis | 0 | NIv2 | task305_jeopardy_answer_generation_normal | zs_opt | [
-0.636435329914093,
1.4730165004730225,
-0.6549372673034668,
-0.5383413434028625,
-0.1380610316991806,
-0.2280043065547943,
0.832877516746521,
-0.3811940550804138,
0.17723652720451355,
-0.2525019943714142,
-0.4503631591796875,
0.09951458871364594,
-0.5531297922134399,
0.5600013732910156,
... |
Teacher: This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not me... | What month did the BankAmericard creator resign? | 2 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
0.8803009986877441,
0.15422722697257996,
-0.6559102535247803,
-0.7913137674331665,
0.17504572868347168,
-0.2713608741760254,
1.4384549856185913,
1.1880701780319214,
-0.13186480104923248,
0.31596922874450684,
0.06127876788377762,
-0.0567341111600399,
-0.979712963104248,
0.13539841771125793,... |
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
[EX Q]: Sentenc... | trucks
| 6 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
0.13386359810829163,
0.8592429161071777,
-0.06726264953613281,
0.06156926229596138,
-0.44572561979293823,
-0.9951858520507812,
0.5477598309516907,
0.7816341519355774,
-0.26497894525527954,
-0.3670634329319,
-0.4772723913192749,
-0.26755112409591675,
-0.6967160105705261,
0.38215214014053345... |
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Two of three founders of the movement are self-confessed Marxists. Search a short history of BLM youtube link int... | Not Hope Speech | 0 | NIv2 | task679_hope_edi_english_text_classification | zs_opt | [
-0.34773457050323486,
0.18875983357429504,
-0.13026587665081024,
-0.18111369013786316,
-0.8213741779327393,
-0.07389341294765472,
0.22577224671840668,
0.8573354482650757,
0.021446410566568375,
0.27218693494796753,
-0.2644323408603668,
0.20909002423286438,
-0.19100376963615417,
-0.495196193... |
Given the task definition and input, reply with output. In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Too early to read into Sterlings' deal Sudden willingness to consider sale could be tactic to delay end of ownership
Multiple media o... | Donald Sterling has agreed to let his estranged wife, Shelly, negotiate the sale of the Clippers, multiple media outlets are reporting—though that might not be as clear a capitulation as it sounds like. For one thing, it's unclear how much of a stake Shelly would be willing to sell; one USA Today source says she would ... | 5 | NIv2 | task1291_multi_news_summarization | zs_opt | [
0.0958530455827713,
-0.12658947706222534,
-0.7136763334274292,
0.1256236732006073,
0.871290922164917,
-0.3646443784236908,
0.3616616129875183,
1.0708394050598145,
0.003592132357880473,
-0.13891752064228058,
-0.4317617118358612,
0.8095794916152954,
-0.31509000062942505,
0.001085346331819892... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
[EX Q]: ['4949', '2459', 'n', 'f', 'n', 'v', '8421', '1519', '4859', 'c', '9923', '2829', 'K', '4937', 'W', 'R']
[EX A]: 39896
[EX Q]: ['E', '9289', 'j', '1847', 'u', 'w', 'z', '4045', ... | 32679
| 6 | NIv2 | task499_extract_and_add_all_numbers_from_list | fs_opt | [
0.32874590158462524,
0.519368588924408,
-0.7082761526107788,
-0.702630877494812,
-0.021359151229262352,
0.18872396647930145,
0.49117982387542725,
0.0027765431441366673,
-0.4111940264701843,
0.3083503842353821,
-0.9056702852249146,
0.41927677392959595,
-0.26259130239486694,
-0.4642775654792... |
Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | En el cine, puedes apagar tu celular.
| 0 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
-0.03190718591213226,
1.1041284799575806,
-0.8040342926979065,
-0.45952343940734863,
-0.27717605233192444,
-0.8689168691635132,
0.39016810059547424,
1.4047443866729736,
0.1751103401184082,
-0.2029837816953659,
-0.5322415828704834,
-0.13937729597091675,
-0.8110279440879822,
0.26441729068756... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possibl... | We went to the waterpark >Causes/Enables> We went among every ride | 1 | NIv2 | task614_glucose_cause_event_detection | fs_opt | [
0.26048702001571655,
0.7320510149002075,
-0.5034031271934509,
-0.08266861736774445,
-0.27420729398727417,
-0.29143261909484863,
0.15816143155097961,
0.6798825263977051,
-0.1779482662677765,
0.009102493524551392,
-0.2748758792877197,
0.22065815329551697,
0.11389890313148499,
-0.540931820869... |
Instructions: 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., ... | Sentence 1: PersonX's car was in need of a tune-up but PersonY's didn't so _ called his mechanic to get an appointment.
Sentence 2: PersonX's car was in need of a tune-up but PersonY's didn't so _ called his doctor to get an appointment. | 3 | NIv2 | task030_winogrande_full_person | zs_opt | [
0.2945331931114197,
0.4518130421638489,
-0.13121072947978973,
-0.009644759818911552,
0.2437775433063507,
-0.19760045409202576,
0.6338455080986023,
0.8477704524993896,
-0.08369378745555878,
-0.3658314347267151,
-0.5456313490867615,
-0.3237748444080353,
-0.6703908443450928,
-0.19998005032539... |
Definition: In this task, given a sentence in the English language, your task is to convert it into the Filipino language.
Input: This issue has grown over the past years, and responsibility has been pointed at a lack of national policy.
Output: | Ang isyung ito ay lumala nitong mga nakaraang taon, at ang itinuturong responsible dito ay ang kakulangan ng pambansang polisiya. | 2 | NIv2 | task559_alt_translation_en_fi | zs_opt | [
0.10439218580722809,
0.22963719069957733,
0.3981989622116089,
-0.4373542070388794,
-0.25099432468414307,
-0.6606956720352173,
0.2269323319196701,
0.9657459259033203,
-0.2778986096382141,
0.1601427048444748,
-0.6204010248184204,
0.1456884890794754,
-0.5667507648468018,
0.2842232286930084,
... |
TASK DEFINITION: In this task, you are given a context paragraph, a question based on that and corresponding answer of a question. Your task is to generate supporting fact/knowledge from context paragraph which helps in answering a given question.
PROBLEM: Neal Israel is an American actor, screenwriter, film and televi... | Death Cab for Cutie is an American alternative rock band, formed in Bellingham, Washington in 1997.
| 8 | NIv2 | task192_hotpotqa_sentence_generation | fs_opt | [
0.31275075674057007,
-0.1725894808769226,
-0.37143462896347046,
0.19383513927459717,
-0.2504824995994568,
0.5015016794204712,
0.8818628787994385,
0.9393820762634277,
-0.13619521260261536,
1.0610617399215698,
0.26377415657043457,
0.4109756350517273,
-0.6775120496749878,
0.10598024725914001,... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
--------
Question: انها ظاهرة مميزة
Answer: To fenomenalne.
Question: و خبراتهم في ا لحياة و عما يحدث في ا لعا لم ، انا اعتقد — و اتجرء لاقول — انهم لمثقفون اكثر من الامريكين في ا لمناطق ا لنائية ا لذين حصلوا علي تعليم جامع... | Idea, że możemy tam spokojnie się rozwijać z kilkoma drobnymi przeszkodami, jest niebezpiecznie błędna, jest niebezpiecznie błędna, ponieważ oznacza to, że nie przygotowujemy się na to, co ma naprawdę nastąpić.
| 7 | NIv2 | task1107_ted_translation_ar_pl | fs_opt | [
-0.5176849961280823,
0.42323505878448486,
0.2363383173942566,
-0.30226457118988037,
-0.5562683343887329,
0.17965564131736755,
0.8011922836303711,
-0.25352805852890015,
0.41709715127944946,
-0.32206296920776367,
-0.6338270306587219,
0.6158339977264404,
-0.9641339778900146,
0.699889898300170... |
Given the task definition and input, reply with output. You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notio... | stereotype | 5 | NIv2 | task320_stereoset_classification_race | zs_opt | [
-0.5864076614379883,
0.3666565418243408,
0.5530649423599243,
0.12524080276489258,
0.013503586873412132,
-0.12589243054389954,
0.18013954162597656,
0.6617934107780457,
0.41060054302215576,
-0.26169267296791077,
-0.46768689155578613,
-0.3247246742248535,
-0.6530386209487915,
-0.0323266983032... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example: Japanese: 詳細は昨日UTC17時30分、英国議... | No | 1 | NIv2 | task1126_alt_ja_lo_answer_generation | fs_opt | [
-0.3799053430557251,
-0.28915292024612427,
-0.22056777775287628,
0.5475513339042664,
0.44202548265457153,
-0.4645429253578186,
-0.4993573725223541,
0.520010232925415,
-0.7281903028488159,
-0.4772072732448578,
0.10611896216869354,
0.9100474119186401,
-0.05706646665930748,
0.6518146991729736... |
Given a prompt and two completions from a language model, select the completion that is the most fluent with respect to continuing the prompt. Fluency is defined by coherency and ease of understanding, not necessarily grammatical correctness. Generate either Completion A or Completion B.
Q: Prompt: i was gonna initial... | Completion A
****
| 4 | NIv2 | task138_detoxifying-lms_classification_fluency | fs_opt | [
0.3469691872596741,
0.41669395565986633,
-0.6505508422851562,
-0.16126015782356262,
-0.0737917497754097,
-0.6662378311157227,
0.21765509247779846,
1.0128717422485352,
0.16376212239265442,
0.021002043038606644,
-0.4100313186645508,
0.9212989211082458,
-0.11866019666194916,
-0.23798362910747... |
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as ... | d
| 7 | NIv2 | task231_iirc_link_classification | fs_opt | [
0.8236241340637207,
0.2521771788597107,
-0.648117184638977,
0.04851994290947914,
0.6182706356048584,
-0.1955639123916626,
0.890963077545166,
1.3678659200668335,
0.4973771274089813,
0.5002506971359253,
-0.17514367401599884,
0.49328339099884033,
-0.25108835101127625,
-0.0032960905227810144,
... |
instruction:
A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
question:
রপ্তানির ন্যূনতম পরিমাণ হবে বছরে ৩.৮০ মিলিয়ন টন।
answer:
80 ਮਿਲੀਅਨ ਟਨ (ਘੱਟ ਤੋਂ ਘੱਟ) ਸਲਾਨਾ ਤੋਂ ਲੈ ਕੇ 5.
question:
১৪ এবং ১৫ই মে ... | ਜੀ ਨਹੀਂ, ਮਾਸਟਰ ਦੀ ਸਮੱਸਿਆ ਸੀ?
| 9 | NIv2 | task1025_pib_translation_bengali_punjabi | fs_opt | [
-0.1732805371284485,
0.4170509874820709,
-0.6559000015258789,
0.453011691570282,
-0.3140244483947754,
-1.0712406635284424,
0.3420957326889038,
-0.0352238267660141,
-0.13173608481884003,
0.4462193250656128,
-1.078004240989685,
0.289562851190567,
-0.7713010311126709,
0.10311302542686462,
-... |
You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "ac... | acceptable
| 3 | NIv2 | task616_cola_classification | fs_opt | [
-0.11710440367460251,
0.51096510887146,
0.7874922752380371,
-0.34087178111076355,
0.18393602967262268,
-1.258950114250183,
0.4530208110809326,
0.3864956200122833,
0.3544118404388428,
0.3104427456855774,
-0.6925016641616821,
0.1581088900566101,
-0.27488893270492554,
-0.13931715488433838,
... |
Instructions: In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbe... | Numbers and Alphabets are Tied | 3 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
-0.1414397954940796,
0.4928182065486908,
-0.8875395655632019,
0.16634148359298706,
-0.3029189109802246,
-0.39902353286743164,
0.3250117301940918,
-0.2215828001499176,
-0.0468224361538887,
0.45378512144088745,
-0.7034409046173096,
0.39784157276153564,
-0.3453008830547333,
0.2185200154781341... |
In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
Q: Bulgarian: Регионални последици от земетресенията (вот), English: - Report: Nikolaos Vakalis
A: | no | 4 | NIv2 | task273_europarl_classification | zs_opt | [
-0.8082044124603271,
0.641887903213501,
0.5500102043151855,
-0.01097201369702816,
0.40174686908721924,
-1.176788091659546,
0.6193278431892395,
0.8635159134864807,
0.4472123980522156,
-0.46957647800445557,
-0.22946587204933167,
1.3228318691253662,
-0.2843599021434784,
-0.060193441808223724,... |
Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
One example: Question: Are group 2 innate lymphoid cells ( ILC2s ) increase... | no | 6 | NIv2 | task846_pubmedqa_classification | fs_opt | [
-0.2940206229686737,
0.4108126163482666,
0.13012009859085083,
0.45817333459854126,
-0.006615529302507639,
-0.780876874923706,
-0.15056930482387543,
0.7531661987304688,
0.14978307485580444,
-0.02264825440943241,
-0.5910442471504211,
0.1775030791759491,
-1.143153190612793,
0.0365936532616615... |
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 (reason) = ... | ['NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF',... | 2 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
-0.004419208504259586,
-0.02705220878124237,
-0.07523369789123535,
-0.16388684511184692,
0.3245414197444916,
-0.09495775401592255,
0.29248589277267456,
0.5453419089317322,
0.05906570702791214,
0.21802043914794922,
-0.3485811948776245,
-0.3776605725288391,
-0.47139251232147217,
0.0432012788... |
Part 1. Definition
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 bl... | I_RUN I_RUN I_RUN I_RUN I_RUN I_RUN | 7 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.057568930089473724,
0.6681712865829468,
-0.5270184278488159,
-0.03986063599586487,
0.1856808364391327,
0.29215461015701294,
0.4246939420700073,
0.14495036005973816,
-0.16847911477088928,
-0.3195095956325531,
-1.0178065299987793,
-0.15029703080654144,
-0.7747442722320557,
-0.1716597825288... |
In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
[Q]: What is the Domestic tournament of the team that has a predominantly light blue kit with a navy and white trim ?
[A]: Qualifying stage
[Q]: When did the s... | Scottish
| 5 | NIv2 | task344_hybridqa_answer_generation | fs_opt | [
0.043435193598270416,
0.37268921732902527,
-0.1905587762594223,
0.24115696549415588,
-0.029603108763694763,
-0.7862910032272339,
0.8090466260910034,
-0.1886051446199417,
-0.11249813437461853,
0.05061987042427063,
-0.5659993886947632,
0.8138080835342407,
-0.8899788856506348,
-0.172573268413... |
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... | [163, -119, 84]
| 6 | NIv2 | task122_conala_list_index_addition | fs_opt | [
0.00047840375918895006,
-0.3520461320877075,
-0.7287036776542664,
-0.28957587480545044,
0.011082765646278858,
-0.2173861414194107,
0.860938549041748,
0.6304172277450562,
-0.40538132190704346,
-0.06886819005012512,
-0.6372206211090088,
0.45030128955841064,
-0.5202692151069641,
-0.1372414231... |
instruction:
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 h... | Yes
| 9 | NIv2 | task1201_atomic_classification_xintent | fs_opt | [
0.4671894907951355,
0.29117459058761597,
0.27083951234817505,
-0.013270152732729912,
-0.46375903487205505,
-0.9924620389938354,
1.4859249591827393,
0.3257765769958496,
-0.4083980917930603,
-0.33647972345352173,
-0.5721782445907593,
-0.23776045441627502,
-1.0310126543045044,
0.2641722857952... |
Given the task definition and input, reply with output. You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Un ten que presentarse na vida dixital de maneira similar a como o faría na vida analóxica.
| You have to present yourself in digital life in a similar way that you would in your analog life. | 5 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.9983065128326416,
0.9190088510513306,
0.4665016531944275,
-0.8601799607276917,
-0.00121777574531734,
-0.6201399564743042,
-0.18404613435268402,
0.34229645133018494,
-0.43865877389907837,
0.16899020969867706,
0.0013926979154348373,
0.5600977540016174,
-0.6691049337387085,
0.1773420274257... |
Definition: Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Japanese: 300万人がこの台風の被害を受けており、中国国営通信社の新華社では、損害額は30億元（3億7500万ドル）になると推定した。
Thai: ความเชื่... | No | 2 | NIv2 | task1129_alt_ja_th_answer_generation | zs_opt | [
-0.6617626547813416,
-0.477058082818985,
0.0227261483669281,
0.2779972553253174,
0.47960519790649414,
-0.34882768988609314,
0.39003652334213257,
0.8857290148735046,
-0.6005202531814575,
0.08125965297222137,
-0.0816110372543335,
0.46224337816238403,
-0.2586292028427124,
0.2586575150489807,
... |
In this task your given two statements in Tamil. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Q: அந்த பயணிகள் தங்களது விடுதி அறைக்கு வந்து சேர்ந்தனர்
அவர்கள் தங்... | effect | 4 | NIv2 | task1177_xcopa_commonsense_cause_effect_ta | zs_opt | [
-0.16959959268569946,
0.6573532819747925,
-0.27527371048927307,
-0.5490036606788635,
-0.41585227847099304,
-0.8259875774383545,
0.09762117266654968,
0.6382718086242676,
0.25699520111083984,
-0.10683472454547882,
0.012204688042402267,
0.4247977137565613,
-0.6295861005783081,
-0.080012477934... |
Given the task definition and input, reply with output. In this task, you are given a question and an answer, you would be asked to create the sentence based on the Question-Answer provided. It should be contained within the Question-Answer provided.
Question: What do we call an incorrect test result that should have ... | We call an incorrect test result that should have been positive a(n) false negative. | 5 | NIv2 | task1556_scitail_passage_generation | zs_opt | [
-0.40612536668777466,
0.9755874872207642,
0.18346858024597168,
0.1879725605249405,
0.17828486859798431,
-0.44286832213401794,
-0.12684382498264313,
0.8117327690124512,
-0.02583354152739048,
0.022642459720373154,
-1.1206419467926025,
0.1816118061542511,
-0.27838754653930664,
-0.205807536840... |
In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
Example Input: ['817', '8649', 'p', 'x', 'O']
Example Output: p, x, O
Example Input: ['3433', '6347', 'W', '4557', 'f',... | E, C, C, U, P, L
| 3 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | fs_opt | [
-0.04178429767489433,
0.5553836822509766,
-0.6220144033432007,
-0.2062252163887024,
0.024624794721603394,
-0.12387669086456299,
1.1811270713806152,
-0.11536799371242523,
-0.05971354618668556,
0.1313457489013672,
-0.5135202407836914,
-0.3950929641723633,
0.31159108877182007,
-0.419116139411... |
You will be given a definition of a task first, then some input of the task.
Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
A man in a funkin shirt talks about and demonstrates how to make the Bacardi cocktail from behind a bar. The m... | adjusted the pool bar and spins around to back off the bread jelly. | 1 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
0.4090456962585449,
0.9054660201072693,
-0.2689015865325928,
0.39842385053634644,
-0.1401941478252411,
0.3091503381729126,
0.1962391883134842,
-0.10625923424959183,
0.4451269209384918,
0.4000054895877838,
-0.8231850266456604,
-0.1578976958990097,
-0.608137309551239,
0.26529669761657715,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in... | 3 | 1 | NIv2 | task200_mnli_entailment_classification | zs_opt | [
-0.050958819687366486,
0.5090707540512085,
0.28720128536224365,
-0.09098632633686066,
0.10099000483751297,
-0.3946148157119751,
0.4993715286254883,
0.6731747388839722,
0.4214370548725128,
0.4280257225036621,
0.2233627289533615,
0.3854822516441345,
0.43080008029937744,
-0.35301074385643005,... |
In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
[EX Q]: Context: After years of hard pract... | True
| 6 | NIv2 | task384_socialiqa_question_classification | fs_opt | [
0.10102450847625732,
0.10631449520587921,
0.08146116137504578,
-0.6474452018737793,
-0.14520792663097382,
-0.2655734419822693,
0.49322229623794556,
0.6166318655014038,
0.12385465204715729,
-0.07592863589525223,
-0.49314558506011963,
-0.16440138220787048,
-0.36981433629989624,
0.00809393636... |
You will be given a definition of a task first, then some input of the task.
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.
How do I know what are the best universities for MS in US?
Output: | I want to start a business in India, what would be a good start up? | 1 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
-0.529222846031189,
0.8758780360221863,
-0.027257399633526802,
-0.20477762818336487,
-0.7275615334510803,
0.3551604747772217,
0.47864794731140137,
0.1603929102420807,
0.18742001056671143,
0.31931284070014954,
-0.6062526702880859,
0.1584288328886032,
0.18895426392555237,
0.4205794930458069,... |
Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Q: Problem: maxwell leaves his home and walks toward brad ' s house. one h... | b
****
| 4 | NIv2 | task1678_mathqa_answer_selection | fs_opt | [
0.5717753171920776,
-0.15168416500091553,
-0.6325092315673828,
0.1285441517829895,
-0.1622266173362732,
0.10486970841884613,
0.758721113204956,
0.384584903717041,
-0.34672680497169495,
0.14516925811767578,
-0.7659506797790527,
0.0032535966020077467,
-0.13538727164268494,
-0.430150955915451... |
TASK DEFINITION: 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: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief... | red_treasure_chest
| 8 | NIv2 | task151_tomqa_find_location_easy_clean | fs_opt | [
-0.1444726139307022,
-0.1525983363389969,
-0.12052375078201294,
-0.3305237293243408,
-0.5605959892272949,
-0.22374077141284943,
0.4623742401599884,
0.7555190920829773,
0.10412492603063583,
-0.21790508925914764,
0.18796613812446594,
0.22280319035053253,
-0.3502904176712036,
0.20669977366924... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
Let me give you an example: ويوجد أساسا مرجل دوار.
The answer to this example can be: É basicamente un caldeiro que rota.
Here is why: The Arabic sentence is correctly translated into Galician, because the meaning is preser... | Non estamos preparados, nin nada que se lle pareza, para o tsunami prateado. | 8 | NIv2 | task1105_ted_translation_ar_gl | fs_opt | [
-0.2945775091648102,
0.2904641330242157,
-0.09604999423027039,
-0.7703605890274048,
-0.212958425283432,
-0.4783687889575958,
0.7899466753005981,
-0.22909748554229736,
-0.17115318775177002,
-0.4748046398162842,
-0.4079105854034424,
0.011399226263165474,
-1.1929266452789307,
0.39619559049606... |
Detailed Instructions: 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: hahah ha good onefacewithtearsofjoyfacewithtearsofjoyfacewithtearsofjoy what facewithtearsofjoy the joke
A: | happy | 9 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
-0.5621886253356934,
0.548947811126709,
0.9813340902328491,
-1.1439476013183594,
-0.030297689139842987,
-0.5129718780517578,
0.13664355874061584,
0.14966635406017303,
0.4955032765865326,
-0.42918598651885986,
-0.5738937854766846,
-0.32271847128868103,
-0.029798327013850212,
-0.111951932311... |
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