inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposi... | JJ NN VBZ VBN IN DT JJ NN VBN IN NNP NNP NNP IN CD .
| 5 | NIv2 | task345_hybridqa_answer_generation | fs_opt | [
0.25840139389038086,
0.1571502685546875,
-0.4058483839035034,
0.42056596279144287,
0.053897880017757416,
-0.8900861144065857,
0.909674882888794,
0.5701442956924438,
-0.4455893039703369,
-0.3173038959503174,
-0.5491708517074585,
0.3394605219364166,
-0.30818337202072144,
0.22678150236606598,... |
You will be given a passage, and your task is to generate a Yes/No question that is answerable based on the given passage.
Example: Powdered sugar, also called confectioners' sugar, icing sugar, and icing cake, is a finely ground sugar produced by milling granulated sugar into a powdered state. It usually contains a sm... | Solution: was kentucky part of the union in the civil war? | 5 | NIv2 | task381_boolq_question_generation | fs_opt | [
0.28607720136642456,
1.1151541471481323,
-0.210562601685524,
-0.3128604590892792,
0.19770397245883942,
-0.5329049825668335,
-0.758390486240387,
1.0291576385498047,
-0.33864057064056396,
0.42973679304122925,
-0.07508943974971771,
-0.22375576198101044,
-0.3988865613937378,
0.0439122281968593... |
In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer:
name: The Eagle,...
eatType: restaurant, coffee shop,...
food: French, Italian,...
priceRa... | name[The Eagle], eatType[coffee shop], food[Indian], priceRange[high], customer rating[1 out of 5], area[city centre], familyFriendly[yes], near[Burger King] | 9 | NIv2 | task958_e2e_nlg_text_generation_parse | fs_opt | [
-0.08489415049552917,
-0.24510669708251953,
-0.070441335439682,
0.37497276067733765,
-0.026356108486652374,
-0.42200469970703125,
0.7099974751472473,
0.8321315050125122,
-0.03820196911692619,
0.07707147300243378,
0.731026291847229,
-0.33111923933029175,
-0.6183430552482605,
-0.191166907548... |
Definition: In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8, ... | [128, 512, 4096, 2048, 16, 64, 2, 256, 1024, 4096, 4096, 8, 64, 2, 256, 512] | 2 | NIv2 | task1444_round_power_of_two | zs_opt | [
-0.4493710696697235,
0.9684018492698669,
-0.18345361948013306,
-0.2106882631778717,
-0.11371435225009918,
0.22849059104919434,
0.5978049039840698,
0.22509273886680603,
-0.12325285375118256,
0.24523940682411194,
-0.8417370319366455,
0.37223249673843384,
-0.32903391122817993,
-0.284184873104... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
Q: (CNN) In a bizarre case of a state attor... | Aramis Ayala | 4 | NIv2 | task339_record_answer_generation | zs_opt | [
-0.2765251100063324,
-0.06317609548568726,
0.3473966121673584,
-0.029973704367876053,
-0.33168235421180725,
-0.22271013259887695,
-0.5075621604919434,
0.8013114929199219,
0.11399780213832855,
0.09391030669212341,
-0.2028290033340454,
0.9090375304222107,
-0.7321615815162659,
0.9811155200004... |
Definition: In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Input: Sentence 1: Evolutio... | neutral | 2 | NIv2 | task1554_scitail_classification | zs_opt | [
-0.6579191088676453,
-0.14706555008888245,
-0.19690528512001038,
0.7141485214233398,
-0.30830806493759155,
-0.8976401686668396,
-0.4416601359844208,
0.7815735340118408,
0.12789565324783325,
-0.48693567514419556,
-0.9595056772232056,
-0.43029725551605225,
-0.2839280962944031,
-0.32716488838... |
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... | Wanneer hout brandt, produceert het licht, warmte en rook. | 1 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-0.20087885856628418,
0.9243788719177246,
-0.015331694856286049,
-0.40337610244750977,
-0.17730030417442322,
-1.0256733894348145,
0.25819748640060425,
0.13774576783180237,
0.2092684805393219,
-0.5796154141426086,
-0.12237221002578735,
0.4014175236225128,
-0.9355683326721191,
0.160742998123... |
Q: In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male.
Sentence: The janitor sends... | Male | 7 | NIv2 | task340_winomt_classification_gender_pro | zs_opt | [
-1.140592098236084,
0.3776988983154297,
0.00015801715198904276,
-0.5948790311813354,
0.4432670772075653,
-0.35717111825942993,
-0.9292076230049133,
0.36444607377052307,
0.2942608594894409,
0.23559482395648956,
-0.49778568744659424,
-0.1694483458995819,
-1.0322842597961426,
-0.0458738766610... |
Detailed Instructions: Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Q: Verify if the sentiment of the following document towards the entity John Mayer is ... | yes | 9 | NIv2 | task423_persent_document_sentiment_verification | zs_opt | [
0.1869424283504486,
-0.34294071793556213,
-0.6832689642906189,
0.3013085126876831,
0.5911685228347778,
-1.0928363800048828,
0.6883691549301147,
0.7405203580856323,
-0.6243270635604858,
0.8326224684715271,
0.2117236852645874,
-0.06322334706783295,
0.32772719860076904,
0.30128976702690125,
... |
Given the task definition, example input & output, solve the new input case.
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
Example: Giraffes like Acacia leaves and hay, and they can consume ... | hb found itself in a default , and all claims of public authorities went into bankruptcy . | 1 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
-0.5728652477264404,
0.6174020767211914,
0.5778195261955261,
0.04093319922685623,
0.19800619781017303,
-0.048714593052864075,
0.48864126205444336,
0.8430675864219666,
-0.06175249069929123,
-0.11226019263267517,
-0.4249681830406189,
-0.16507717967033386,
0.08846432715654373,
0.3550382554531... |
Given the task definition, example input & output, solve the new input case.
You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids w... | high | 1 | NIv2 | task1712_poki_classification | fs_opt | [
0.2803953289985657,
0.878246545791626,
0.4050329029560089,
-0.09193841367959976,
-0.044047076255083084,
-0.692275881767273,
-0.1892271637916565,
1.109398365020752,
0.2914615273475647,
-0.6356472969055176,
-0.37852412462234497,
0.3255704343318939,
-0.2097405642271042,
-0.270689457654953,
... |
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... | ['CASE_DIFF', 'NO_DIFF', 'PUNCUATION_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', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_... | 3 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.025555908679962158,
-0.3793574571609497,
-0.06090078130364418,
0.03710519149899483,
0.4718274474143982,
0.10077102482318878,
0.5206613540649414,
1.0223398208618164,
-0.3817952275276184,
0.4465773105621338,
-0.141787588596344,
-0.20187123119831085,
-0.013166896998882294,
0.026218924671411... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
One example: شما میتونید این پنگوئن ها رو ببینید اونها حرکت میکنند به اون سیمها نگاه میکنند ولی شبیه اون سیمها نیستند
Solution is here: אתם רואים שהפינגווין הזה ניגש ומסתכל על החוטים, הוא לא אוהב את החוט הזה.
Explanation: The ... | אז עם כל כך הרבה אנשים שעושים דברים כאלו מדהימים וגם מבינים בדיוק על מה הם עובדים, מאוד סיקרן אותי להתחיל בפרויקט משותף שבו אנשים יעבדו כדי לבנות משהו ביחד. | 6 | NIv2 | task1269_ted_translation_fa_he | fs_opt | [
-1.3475027084350586,
0.574317455291748,
-0.12465176731348038,
0.31645771861076355,
-0.33046954870224,
-0.32513073086738586,
0.3355182409286499,
0.14819267392158508,
0.3247586786746979,
-0.1289086937904358,
-0.8701967000961304,
0.7466706037521362,
-0.42659756541252136,
-0.08266998827457428,... |
Teacher:In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be la... | Non-hateful | 6 | NIv2 | task333_hateeval_classification_hate_en | zs_opt | [
-0.5863327980041504,
0.13017316162586212,
0.725531816482544,
0.4903066158294678,
0.21853849291801453,
-1.0030481815338135,
0.36192965507507324,
1.2132577896118164,
0.320509135723114,
0.3249349594116211,
0.5009230375289917,
-0.006448645610362291,
-0.8136020302772522,
-0.9701128005981445,
... |
Part 1. Definition
In this task, you are given a conversation between a flight agent and the customer. You are given 4 options and you need to select the goal of the conversation. It is provided as part of customer's context, which has to be one of the following: `book`: Make a new reservation, `cancel`: Cancel an exis... | no_reservation | 7 | NIv2 | task573_air_dialogue_classification | fs_opt | [
0.4905480742454529,
-0.0648551657795906,
-0.2055823802947998,
-0.6361299753189087,
0.34964892268180847,
-0.18224728107452393,
1.0369460582733154,
0.45499077439308167,
-0.07045382261276245,
0.2846468389034271,
0.5066826343536377,
-0.2929818332195282,
-0.7042279839515686,
-0.2448893338441848... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
آنها فقیر ترین بچه ها را پذیرش می کنند و بالای 96 درصد از فارغ التحصیلان دبیرستان به کالج های چهار ساله می روند | Collen ós rapaces máis pobres, e máis do 96% dos seus graduados estudan carreiras universitarias. | 0 | NIv2 | task1270_ted_translation_fa_gl | zs_opt | [
-1.6920145750045776,
1.3272764682769775,
0.44735991954803467,
-0.83402419090271,
-0.7875060439109802,
-0.05323442071676254,
0.2905643582344055,
0.32277417182922363,
0.1739676296710968,
-0.21527516841888428,
-0.28908973932266235,
0.3527880012989044,
-0.2858883738517761,
0.44309139251708984,... |
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Example Input: [7975, 4703, 'c', '8363', '1673', 'U', 'w', 6977], [3235, 'G', 'c', '8363', '1673', 'N', 'p']
Example Output: c, 8363, 1673
Example Input: ['x', 9943, 'K', 'O', 'g', 6603, 1275, 'x', 6903, 'c', 9999, 88... | 7079, T, 5009, a, r, Z, 2345, 1649, 7689, 8395, 731, R, t
| 3 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | fs_opt | [
-0.3150026798248291,
0.07592196017503738,
-0.47429531812667847,
-0.3284175992012024,
-0.2812381386756897,
-0.13459251821041107,
0.5944007635116577,
0.6282898187637329,
-0.6001145243644714,
0.2024339735507965,
-0.5323712229728699,
0.25699150562286377,
0.12428086251020432,
0.1970270574092865... |
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of log... | yes
| 3 | NIv2 | task211_logic2text_classification | fs_opt | [
0.07542061805725098,
-0.18053880333900452,
-0.26649320125579834,
0.45026981830596924,
0.5005154013633728,
-0.38018158078193665,
0.15035799145698547,
0.4468602240085602,
0.21608304977416992,
-0.09925859421491623,
-0.241536483168602,
0.05529843643307686,
0.37746188044548035,
0.32201057672500... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
数多くのプロジェクトが影響を受けました
Output: | And it's a number of projects. | 1 | NIv2 | task1222_ted_translation_ja_en | zs_opt | [
0.0265161395072937,
0.33635103702545166,
0.3936963975429535,
-0.21185044944286346,
0.5641731023788452,
-0.5076882839202881,
0.002740924246609211,
0.4110415279865265,
0.3391314148902893,
-0.5375135540962219,
0.20535343885421753,
0.050658080726861954,
-0.6653761267662048,
-0.4592840969562530... |
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 men... | Where is polycarbonate plastic created? | 6 | NIv2 | task348_squad2.0_unanswerable_question_generation | zs_opt | [
0.05073257163167,
0.6478568911552429,
-0.6511714458465576,
-0.2789710462093353,
-0.2471233308315277,
-0.624043345451355,
0.10790760815143585,
1.162628412246704,
-0.49309659004211426,
0.38391077518463135,
-0.07961661368608475,
0.19042126834392548,
-0.8310526609420776,
-0.12085582315921783,
... |
Detailed Instructions: The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in... | goat raping acid throwing in bred retarded followers of the pedophile false prophet of satan | 4 | NIv2 | task1504_hatexplain_answer_generation | fs_opt | [
-0.6878854036331177,
0.9331932067871094,
0.22327721118927002,
0.47737714648246765,
-0.3778116703033447,
-1.2400250434875488,
-0.25934356451034546,
0.9506609439849854,
0.43921369314193726,
0.48070597648620605,
-0.4837592840194702,
-0.05272560566663742,
-0.5279319286346436,
-0.81356406211853... |
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... | ab | 3 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
-0.07752587646245956,
0.23730741441249847,
-0.34035757184028625,
0.46644386649131775,
-0.017081035301089287,
-0.15166783332824707,
0.48621541261672974,
1.128601312637329,
-0.04103493690490723,
0.6967557072639465,
-0.5270719528198242,
-0.054861411452293396,
0.1503419578075409,
-0.2236344963... |
In this task, you need to provide the correct option for a given problem from the provided options.
Example input: Problem: jo ' s collection contains us , indian and british stamps . if the ratio of us to indian stamps is 6 to 2 and the ratio of indian to british stamps is 5 to 1 , what is the ratio of us to british ... | c | 3 | NIv2 | task1421_mathqa_other | fs_opt | [
-0.11793752014636993,
0.7632958889007568,
-0.39339759945869446,
0.24727508425712585,
0.07647466659545898,
-0.6898183822631836,
0.31593701243400574,
0.8490809798240662,
0.18702927231788635,
0.0484791100025177,
-0.032961517572402954,
0.6697486639022827,
-0.10582222044467926,
0.01222403161227... |
TASK DEFINITION: In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
PROBLEM: I haven't written a review in ages, but this place is SO GOOD that I'd be ashamed of ... | POSITIVE
| 8 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
0.38791707158088684,
0.10487079620361328,
-0.014004765078425407,
0.37891796231269836,
0.2858501374721527,
-0.1647184044122696,
0.8655609488487244,
0.6719655990600586,
-0.38196247816085815,
0.10857758671045303,
0.27053380012512207,
-0.16856800019741058,
-0.3700607717037201,
0.16554242372512... |
Detailed Instructions: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations an... | Count the number of different software platforms. | 4 | NIv2 | task184_break_generate_question | fs_opt | [
0.7138310074806213,
0.08920741081237793,
-0.7176107168197632,
0.3752409815788269,
0.21394643187522888,
-0.4474644660949707,
0.8009597063064575,
0.4187907874584198,
-0.43545061349868774,
0.6117382049560547,
-0.2419188916683197,
0.49500229954719543,
-0.012356765568256378,
0.259257435798645,
... |
Teacher:In this task you will be given a list of strings and you need to concatenate them.
Teacher: Now, understand the problem? Solve this instance: ['J', 'e', 'the', 'q', 'the', 'i', 'M', 'his', 'p', 'not', 'x', 'x']
Student: | JetheqtheiMhispnotxx | 6 | NIv2 | task079_conala_concat_strings | zs_opt | [
-0.17281486093997955,
0.07527655363082886,
0.11696692556142807,
-0.4112336039543152,
0.04446065425872803,
-0.08497782051563263,
0.48725593090057373,
0.019012488424777985,
-0.16776758432388306,
0.3442923128604889,
0.1345134973526001,
-0.16849523782730103,
-0.5980817079544067,
-1.13019990921... |
Detailed Instructions: This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the foll... | 1. | 8 | NIv2 | task028_drop_answer_generation | zs_opt | [
0.041487034410238266,
0.204250305891037,
-0.8863258957862854,
0.23934800922870636,
0.031793996691703796,
0.14624212682247162,
0.6339956521987915,
0.3784239888191223,
0.13878598809242249,
0.048686668276786804,
-0.30699053406715393,
0.34446221590042114,
-0.5811315774917603,
0.086089581251144... |
Given the task definition and input, reply with output. Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense ... | Ако искате да растат зеленчуци, тогава ще трябва да засадят семена и вода за тях. | 5 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | zs_opt | [
-0.8406277894973755,
0.5513430833816528,
0.26450982689857483,
-0.13556133210659027,
-0.5063037276268005,
-0.4173288941383362,
0.8151437044143677,
1.096166968345642,
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-0.6342495679855347,
-1.222177267074585,
0.6940004825592041,
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0.4091009497642517,
... |
Definition: 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 a... | baby animals | 2 | NIv2 | task143_odd-man-out_classification_generate_category | zs_opt | [
0.2119354009628296,
-0.004364187829196453,
-0.7497309446334839,
0.02438700571656227,
0.37388288974761963,
-0.09710608422756195,
-0.05457422137260437,
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0.30279412865638733,
0.09449416399002075,
-0.32737380266189575,
0.3294376730918884,
-0.5363802313804626,
-0.301171779632... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
--------
Question: A, B, C, D, E, F, G, H, I, J, K.
Answer: A, B, C, D, E, F, G, H, I, J, K.
Question: Śmierć malutkich Nell i Cordeli, i im podobnym, po prostu już się nie zdarza.
Answer: مرگ « لیتل نل » و « کوردلیا » و چی... | و همگي آنها به نظر سالم مي رسند.
| 7 | NIv2 | task1263_ted_translation_pl_fa | fs_opt | [
-0.6234346032142639,
0.6156759858131409,
0.15710803866386414,
-0.14577949047088623,
-0.40861237049102783,
-0.5895589590072632,
0.9785314798355103,
-0.0580250546336174,
-0.3732825219631195,
-0.2493046522140503,
-1.043323278427124,
0.049895528703927994,
-0.09329383820295334,
0.54909890890121... |
TASK DEFINITION: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the... | informal
| 8 | NIv2 | task1533_daily_dialog_formal_classification | fs_opt | [
0.7648888826370239,
0.007877995260059834,
-0.14455711841583252,
-0.29616570472717285,
0.3386218845844269,
-0.30084747076034546,
0.9322479963302612,
0.1596328318119049,
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0.1691746711730957,
0.09398409724235535,
-0.012818085961043835,
-0.32055020332336426,
0.3545455932617... |
Detailed Instructions: In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
Q: vmLOJBHigZMxEoCsnT, wQokHigZMxEKUuldw
A: | HigZMxE | 9 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | zs_opt | [
0.6407685875892639,
1.4365639686584473,
0.24395427107810974,
-0.4975038766860962,
-0.1098230704665184,
-0.5464070439338684,
0.32208251953125,
-0.8667630553245544,
-0.17362770438194275,
-0.8514021039009094,
-0.3273785412311554,
-0.7987372875213623,
-0.36305350065231323,
0.13056409358978271,... |
Given the task definition and input, reply with output. In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
[225.214, 248.115, 1.203, 230.505, 136.951]
| [0.267 0.295 0.001 0.274 0.163] | 5 | NIv2 | task093_conala_normalize_lists | zs_opt | [
-0.7766929864883423,
0.8274633884429932,
-0.3201477825641632,
-0.8647440075874329,
-0.14651437103748322,
0.23259711265563965,
0.34351617097854614,
-0.5015482902526855,
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0.02610849216580391,
-0.8913413286209106,
0.5523166656494141,
-0.3093159794807434,
-0.342856615781784... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your an... | yes | 0 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | fs_opt | [
0.2179940938949585,
-0.2059193253517151,
-0.3865690231323242,
0.4417763650417328,
0.4630460739135742,
-0.18732085824012756,
0.4259612262248993,
0.4441738426685333,
0.05505412071943283,
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-0.19920557737350464,
0.10249857604503632,
-0.7033674716949463,
-0.055027961730957... |
Definition: In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information wh... | My two kids love to play dress up! | 2 | NIv2 | task072_abductivenli_answer_generation | zs_opt | [
-0.1433354914188385,
0.3331071138381958,
-0.43795135617256165,
-0.3851904273033142,
-0.39090555906295776,
-0.03305290266871452,
0.49646034836769104,
0.37444007396698,
0.0772673562169075,
-0.06896766275167465,
-0.7608461380004883,
0.4036378860473633,
-0.47264572978019714,
0.0807082802057266... |
Given the task definition and input, reply with output. 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.
i thought you might get bored oh yessss cool
| other | 5 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
-0.737519383430481,
0.7774719595909119,
0.6855636239051819,
-0.6367998123168945,
0.18693843483924866,
-0.6327146887779236,
0.5091561079025269,
0.18212124705314636,
0.6010003089904785,
-0.20724233984947205,
-0.48091569542884827,
-0.5162370800971985,
-0.5274015665054321,
0.06313661485910416,... |
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Example input: Somali sentence: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Example output: Lionel Messi is the greatest football player of all time
Example explanation: Th... | Baaq ka dhan ah ururka ONLF oo ay Jijiga kasoo saartey beesha Makaahiil ee Ogadenya | 3 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt | [
-0.24764415621757507,
1.0470486879348755,
-0.42810025811195374,
-0.38698095083236694,
0.06308190524578094,
-1.250190019607544,
-0.3146749436855316,
0.11431761085987091,
0.5677714347839355,
-0.6642423868179321,
-0.058337487280368805,
1.2551594972610474,
-1.1315476894378662,
-0.3908200860023... |
Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: スポーツ管理者でしょうか？
A: | ผู้บริหารด้านกีฬา? | 4 | NIv2 | task1127_alt_ja_th_translation | zs_opt | [
-0.019248364493250847,
-0.10675710439682007,
-0.9825667142868042,
-0.7003923654556274,
0.0842849463224411,
-0.49585169553756714,
0.22028402984142303,
0.05633523315191269,
0.17502261698246002,
-0.48793405294418335,
-0.617364227771759,
0.6741645336151123,
-0.9673975110054016,
0.5250432491302... |
The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Q: This woman found herself in a hilarious situation.
A: | joy | 4 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | zs_opt | [
-0.8365752696990967,
0.30654090642929077,
0.3528859317302704,
-0.8653272390365601,
-0.1870315968990326,
-0.20858319103717804,
0.678315281867981,
0.7706449031829834,
0.665483295917511,
-0.3421977162361145,
-1.0078344345092773,
-0.556322455406189,
-0.20893974602222443,
-0.14944949746131897,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Q: كان عمري 25 عاماً حين تسلمت كنيستي الأولى.
A: | I was 25, had my first church. | 4 | NIv2 | task1230_ted_translation_ar_en | zs_opt | [
0.1961086392402649,
0.2123643159866333,
-0.4272827208042145,
-0.5060566663742065,
-0.6632250547409058,
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-0.06519889086484909,
0.5540577173233032,
0.8429117202758789,
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0.372577965259552,
-0.26949259638786316,
-1.0479930639266968,
0.6867772340774536,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
i stopped feeling as clever as i had felt having no memory of her having done so
O... | joy | 1 | NIv2 | task512_twitter_emotion_classification | zs_opt | [
-1.2541457414627075,
-0.4182736277580261,
0.35646647214889526,
0.3878900408744812,
-0.20233061909675598,
-0.5506004095077515,
0.45714056491851807,
0.23211750388145447,
0.2536225914955139,
0.08622986078262329,
-0.2285274863243103,
-0.2055772840976715,
0.03333815559744835,
-0.046966798603534... |
In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Example input: Rope and its Usage
Example output: Intambo nomsebenzi ewenzayo.
Example explanation: 'Intambo' means rope, 'nomsebenzi ewenzayo' roughly ... | Indawo yongeno nophumo lomoya kufuneka ivalwe kummandla womlilongaphandle kokuba kucaciswe ngenye indlela . | 3 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | fs_opt | [
-0.002732933033257723,
1.1796793937683105,
0.34294456243515015,
-0.1200566217303276,
-0.8047763109207153,
-0.7267932295799255,
0.894199788570404,
0.3567163348197937,
-0.4970226287841797,
-0.2904652953147888,
-0.2168731689453125,
-0.36881181597709656,
-0.6188042163848877,
-0.175938844680786... |
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Example: Sentence1: While it was being called mandatory , Dupont said authorities were not forcing people from their homes ., Sentence2: It was called mandatory , but Dupont said... | Solution: No | 5 | NIv2 | task1288_glue_mrpc_paraphrasing | fs_opt | [
-0.5727325677871704,
0.8335465788841248,
0.5205458402633667,
-0.11342930048704147,
-0.0011764586670324206,
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0.8573967218399048,
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-0.9015089273452759,
-0.03636546432971954,
-0.4391353726387024,
-0.2142764180... |
You will be given a definition of a task first, then some input of the task.
Two analogies that relate items to the associated containers is given in the form "A : B. C : ?". "A : B" relates item A to its associated container B. Your task is to replace the question mark (?) with the appropriate container for the given ... | box | 1 | NIv2 | task1159_bard_analogical_reasoning_containers | zs_opt | [
-0.04864449054002762,
0.6619324088096619,
-0.7954397201538086,
0.22296392917633057,
-0.4215388894081116,
-0.14198866486549377,
0.9252899885177612,
0.4634997546672821,
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-0.6346360445022583,
0.310046523809433,
-0.08126131445169449,
-0.19883909821510315,
-0.174681901931762... |
Instructions: A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
Input: রাষ্ট্রপতি আব্বাস, আপনি আমার সম্মানে যে বক্তব্য রেখেছেন এবং যেভাবে উষ্ণ অভ্যর্থনায় আমার তথা আমার সঙ্গের প্রতিনিধিগণকে অসাধারণভাবে স্ব... | அதிபர் அப்பாஸ் அவர்களே, என்னை கவுரவிக்கும் வகையில் நீங்கள் குறிப்பிட்ட வாழ்த்துகளுக்கும் நீங்கள் எனக்கும் என்னுடன் வந்திருந்த பிரதிநிதிகளுக்கும் அளித்த மனப்பூர்வமான மற்றும் உற்சாக வரவேற்புக்கு நன்றி தெரிவித்துக் கொள்கிறேன். | 3 | NIv2 | task981_pib_translation_bengali_tamil | zs_opt | [
0.2936837673187256,
0.21735048294067383,
-0.1061038225889206,
0.42499351501464844,
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0.5498501062393188,
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0.11399120092391968,
-0.2948955297470093,
0.1814507693052292,
... |
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 need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Sentence: 'the street light is green in the city'. How many words... | 2 | 0 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
-0.262442946434021,
0.7961138486862183,
-0.22379818558692932,
-0.8553445339202881,
0.1653793752193451,
0.2708025872707367,
0.31061822175979614,
0.599382221698761,
0.7525464296340942,
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-0.03141501918435097,
0.270835816860199,
-0.09283307194709778,
0.049532338976860046,
... |
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Input: Consider Input: Sentence1: Police spokesman Brig. Gen. Edward Aritonang confirmed Saturday that another two had been arrested , one in Jakarta and another in Magelang , C... | Output: Yes
| 2 | NIv2 | task1288_glue_mrpc_paraphrasing | fs_opt | [
-0.1710864156484604,
0.3539755344390869,
-0.3782995045185089,
-0.14235560595989227,
-0.18539521098136902,
-0.7434372901916504,
0.14150726795196533,
0.3068297207355499,
0.32320982217788696,
-0.058075957000255585,
-0.7013648152351379,
-0.04000603035092354,
-0.4669405221939087,
-0.14600947499... |
You are given a science question (hard-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct ... | A | 4 | NIv2 | task229_arc_answer_generation_hard | zs_opt | [
0.21599730849266052,
0.8823403120040894,
-0.21073657274246216,
-0.6309777498245239,
-0.29468145966529846,
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0.565122127532959,
0.45207080245018005,
-0.04574748873710632,
-0.026942439377307892,
-0.5697128772735596,
-0.13509362936019897,
0.36177858710289,
-0.28661128878593... |
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, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
Hi. I want inf... | Yes, there are 4 main schools for higher education, University of Liechtenstein, Principality of Liechtenstein, Liechtenstein and International Academy of Philosophy. | 0 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
-0.3743440508842468,
0.37918317317962646,
0.3522714674472809,
-0.9868600368499756,
-0.427725225687027,
0.08492758870124817,
1.4348772764205933,
0.5792072415351868,
-0.4192497730255127,
0.3174147605895996,
-0.5910950303077698,
0.10616573691368103,
-0.9108917117118835,
0.31609219312667847,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
--------
Question: Ora, gli esportatori erano le grandi multinazionali.
Answer: Ahora, estos suministradores eran nuestras grandes compañías.
Question: E abbiamo ancora un sacco di strada da fare con questo.
Answer: Y t... | Será definitivo.
| 7 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.5038158893585205,
0.961590051651001,
0.11546491086483002,
0.03903791680932045,
-0.31135398149490356,
-0.48014992475509644,
0.020460501313209534,
1.232194185256958,
-0.31062012910842896,
-0.7785577774047852,
-0.5372691750526428,
0.7845025658607483,
-0.01907314360141754,
0.285812854766845... |
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
Q: Context: Ad... | A
****
| 4 | NIv2 | task580_socialiqa_answer_generation | fs_opt | [
0.11211136728525162,
0.2013382613658905,
-0.3049665689468384,
0.8377807140350342,
0.4247162938117981,
-0.07953391969203949,
-0.09330783784389496,
0.9430467486381531,
0.37082722783088684,
0.2696315050125122,
0.27346304059028625,
0.4232158064842224,
0.21856266260147095,
-0.1970968246459961,
... |
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do not answer with words o... | regina
| 1 | NIv2 | task165_mcscript_question_answering_commonsense | fs_opt | [
0.8384592533111572,
0.4176469147205353,
-0.744171679019928,
0.36464259028434753,
0.3196357190608978,
-0.36093419790267944,
1.0710234642028809,
0.8724141120910645,
0.25208717584609985,
-0.10169298201799393,
0.07855784893035889,
0.4528924226760864,
-0.4813776910305023,
-0.019302643835544586,... |
Given a sentence in Japanese, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
Hicksteadの集落に隣接し、Burgess Hillの西、そしてロンドンからブライトンまでのA23の主要道路の隣に位置しています。 | Se encuentra junto a la aldea de Hickstead, al oeste de Burgess Hill y junto a la carretera principal A23 desde Londres hasta Brighton. | 0 | NIv2 | task816_pawsx_japanese_spanish_translation | zs_opt | [
-0.7510397434234619,
0.2504223585128784,
0.43948298692703247,
-0.40974581241607666,
-0.10581472516059875,
-1.13475501537323,
0.46190592646598816,
-0.35523730516433716,
0.39758434891700745,
-0.3756553530693054,
-0.4464849829673767,
0.15469180047512054,
-0.13224634528160095,
0.53937655687332... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised o... | [97, -28] | 1 | NIv2 | task207_max_element_lists | fs_opt | [
0.27480828762054443,
0.18313570320606232,
-0.784907877445221,
0.5064986944198608,
0.23941317200660706,
0.027404099702835083,
0.5055387020111084,
0.9868725538253784,
-0.28777599334716797,
0.048971302807331085,
-0.390450119972229,
-0.11727438867092133,
0.467856228351593,
-0.3663467466831207,... |
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
Ex Input:
the sweat on the man 's hand reacted with the steel of the handle and reeked like a steel spoon dipped in vanilla ice cream .
Ex Out... | the bill ?
| 1 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
-0.27374550700187683,
0.6960036158561707,
0.000009180046617984772,
0.11424383521080017,
0.2661992609500885,
-0.5169456601142883,
0.688705325126648,
0.8348771333694458,
0.1393570899963379,
0.24516785144805908,
0.40353938937187195,
0.287922203540802,
-0.5872875452041626,
-0.3337693512439728,... |
You are given a science question (easy-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct ... | B
| 7 | NIv2 | task228_arc_answer_generation_easy | fs_opt | [
0.7644211053848267,
0.5632222294807434,
-0.6337857842445374,
-0.4301161766052246,
-0.7762357592582703,
-1.0593147277832031,
0.7294330596923828,
0.5204225778579712,
-0.42879173159599304,
-0.2941572070121765,
-1.2939612865447998,
0.15783452987670898,
0.7659751176834106,
-0.6469317674636841,
... |
Detailed Instructions: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
... | select the rows whose place record is arbitrary . the number of such rows is 11 . | 8 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.23614072799682617,
-0.21301423013210297,
-0.31419670581817627,
0.003024911042302847,
-0.02562790922820568,
-0.374384343624115,
0.359414279460907,
0.6971839666366577,
0.07310502976179123,
-0.13801360130310059,
-0.40155208110809326,
-0.235665425658226,
0.011485426686704159,
0.6871092319488... |
instruction:
Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
question:
Context: Maria is a free-spirited young Austrian woman studying to become a nun at Nonnberg Abbey in Salzburg in 1... | dallas
| 9 | NIv2 | task469_mrqa_answer_generation | fs_opt | [
1.071181058883667,
0.29169487953186035,
-1.0768235921859741,
-0.014527784660458565,
0.24022997915744781,
0.11034742742776871,
1.0962598323822021,
1.110878586769104,
0.11077596247196198,
0.23359721899032593,
-0.024222195148468018,
0.5094008445739746,
-0.884316086769104,
-0.05340415239334106... |
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statemen... | The executives who distorted the stock's value were never charged with fraud. | 0 | NIv2 | task203_mnli_sentence_generation | zs_opt | [
-1.1231848001480103,
0.5126975774765015,
-0.24499356746673584,
0.016511715948581696,
0.037453942000865936,
-0.1314852237701416,
-0.239388108253479,
0.1626194417476654,
0.5669797658920288,
-0.18055325746536255,
0.1346864104270935,
-0.2752600908279419,
-0.7902804017066956,
0.2202006578445434... |
Given a premise and two alternatives in Gujarati, choose the alternative that is either a plausible cause or effect of the situation described by the premise. The premise is the 'નિવેદન' field and the alternatives are the 'વિકલ્પA' and 'વિકલ્પB' fields.The output should either be "વિકલ્પ A" or "વિકલ્પ B" based on your ... | વિકલ્પ B | 0 | NIv2 | task940_copa_gu_commonsense_reasoning | zs_opt | [
-1.0184717178344727,
0.6991981267929077,
0.034058187156915665,
-0.2567387819290161,
-0.45218896865844727,
-0.44537869095802307,
1.0536810159683228,
0.3421630561351776,
0.5882959365844727,
-0.34246039390563965,
-0.66799396276474,
0.04021044075489044,
0.37247171998023987,
0.29010361433029175... |
In this task, you need to provide the correct option for a given problem on probability from the provided options.
Q: Problem: 6 animals of a circus has to be placed inside in 6 cages one in each cage . if 4 of the cage are too small for 6 of the animal then find the number of ways of caging the animal .
Options: a )... | d
****
| 4 | NIv2 | task1424_mathqa_probability | fs_opt | [
0.2322251796722412,
0.6069549322128296,
-0.5734148025512695,
-0.044151514768600464,
-0.5047585964202881,
-0.08056051284074783,
0.16342908143997192,
0.5060756802558899,
-0.5182890892028809,
0.0245378315448761,
-0.2973429560661316,
0.035809293389320374,
-0.41076937317848206,
0.66761469841003... |
Q: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have... | Yes | 7 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
0.25902777910232544,
0.05698163062334061,
0.5136829018592834,
-0.3372917175292969,
-0.25867873430252075,
-1.0197923183441162,
1.4959712028503418,
-0.12434466928243637,
-0.4485307037830353,
-0.4948660433292389,
-0.11874379217624664,
-0.11726629734039307,
-0.961319625377655,
0.58364391326904... |
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. Wh... | Where may she be currently located ?
| 1 | NIv2 | task023_cosmosqa_question_generation | fs_opt | [
1.2229833602905273,
0.4532814621925354,
-0.2892059087753296,
0.3504849672317505,
-0.2757945656776428,
-0.44975125789642334,
0.652254581451416,
0.5135742425918579,
-0.2910965085029602,
0.013106130063533783,
-0.17549923062324524,
-0.028522038832306862,
-0.4787106215953827,
0.568429708480835,... |
Given the task definition and input, reply with output. In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. T... | [64, 512, 2048, 2048, 16, 64, 4, 8, 64, 4096, 4096, 16, 64, 4, 128] | 5 | NIv2 | task1444_round_power_of_two | zs_opt | [
-0.36323899030685425,
0.9650396108627319,
-0.15756435692310333,
-0.07470515370368958,
-0.10667911171913147,
-0.2953764498233795,
0.23731055855751038,
0.06096605584025383,
-0.2969985008239746,
0.09024270623922348,
-0.7499456405639648,
0.3249407410621643,
-0.18203461170196533,
-0.46851897239... |
Teacher:In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
Teacher: Now, understand the problem? Solve this instance: 5, ['e', '1389', 'e', '497', 'N', '... | e, 1389, e, 497, N | 6 | NIv2 | task063_first_i_elements | zs_opt | [
0.11922146379947662,
-0.04612774774432182,
0.03222902864217758,
-0.36555856466293335,
0.13775324821472168,
-0.4467346668243408,
0.20827531814575195,
0.5709709525108337,
-0.37948480248451233,
0.2298124134540558,
-0.7120566368103027,
-0.3350434899330139,
-0.346072256565094,
-0.41205638647079... |
Teacher:In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Teacher: Now, understand the p... | the trailer is for? | 6 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-0.5486365556716919,
0.27105820178985596,
0.2646160423755646,
-0.5413861870765686,
-0.20020179450511932,
-0.3320716917514801,
0.8858100175857544,
0.5109347701072693,
-0.3500511050224304,
0.06485389173030853,
-0.15824423730373383,
-0.4860011041164398,
-0.8857761025428772,
-0.932651162147522... |
You are given a statement written in Telugu. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
One example is below.
Q: Statement: ఇది మండల కేంద్రమైన నాతవరం నుండి 8 కి. మీ. దూరం లోను, సమీప పట్టణమైన <MASK> నుండి... | ఆంధ్రప్రదేశ్ | 9 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | fs_opt | [
0.36562371253967285,
0.8563117980957031,
0.25508981943130493,
0.024884536862373352,
-0.25157684087753296,
-1.6520228385925293,
-0.041312772780656815,
1.32991361618042,
-0.2058446705341339,
0.11273930221796036,
-0.05004091188311577,
0.42826908826828003,
-0.7623329162597656,
-0.2010345011949... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, ... | Does maternal obesity influence the relationship between location of neonate fat mass and total fat mass? | 0 | NIv2 | task847_pubmedqa_question_generation | fs_opt | [
0.15989162027835846,
0.2604979872703552,
-0.2688305974006653,
-0.22977149486541748,
0.48633578419685364,
-0.10996334999799728,
0.41776910424232483,
0.7724828124046326,
-0.260272741317749,
0.10293242335319519,
-0.4298214614391327,
-0.022760475054383278,
-0.8047740459442139,
0.62651699781417... |
instruction:
In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
question:
About Amy 's cuteness , Amy 's career success ( she 's a best-selling writer of self-help boo... | POS
| 9 | NIv2 | task363_sst2_polarity_classification | fs_opt | [
-0.6855068206787109,
0.5816835165023804,
0.7354254722595215,
-0.4234212636947632,
0.16917234659194946,
-0.47800660133361816,
0.19205179810523987,
0.5300873517990112,
0.7813442945480347,
0.30893945693969727,
-0.49008333683013916,
-0.3614853620529175,
0.017535682767629623,
-0.353996276855468... |
In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
[Q]: Swedish: Av betänkandet framgår det att de i allmänhet ligger rejält efter Europeiska... | Yes
| 5 | NIv2 | task314_europarl_sv-en_classification | fs_opt | [
-0.029405148699879646,
0.530616819858551,
0.5435845851898193,
-0.03425002470612526,
0.03444106876850128,
-0.16596907377243042,
0.490490585565567,
0.6940467357635498,
0.2064259648323059,
0.021084144711494446,
-0.05170564725995064,
0.7916135191917419,
-0.3354153633117676,
0.21844258904457092... |
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
સફેદ ટાઇલ અને કાળા મોઝેઇક પટ્ટીઓ સાથે ટાઇલ કરેલી ફુવાર... | English
| 0 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | fs_opt | [
-0.6026726961135864,
0.7880200743675232,
0.5129096508026123,
-0.8971484303474426,
0.24431392550468445,
-0.6586152911186218,
-0.18898159265518188,
0.12371769547462463,
-0.08140122890472412,
-0.24042612314224243,
0.28874725103378296,
0.0011129305930808187,
-0.5481829643249512,
-0.27007693052... |
Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Input: A historia é a seguinte: sabemos que o universo comezou fai 13.700 millóns de anos, nun estado inmensamente denso e quente, moito máis pequeno que un só átomo.
Output: | Oto ona: wiemy że wszechświat narodził się 13.7 milionów lat temu, w niezwykle gorącym, gęstym stanie, znacznie mniejszym niż pojedynczy atom. | 3 | NIv2 | task1244_ted_translation_gl_pl | zs_opt | [
-0.1829509437084198,
1.309478759765625,
-0.07132948935031891,
0.02645658329129219,
-1.04085111618042,
-0.8536558151245117,
0.039127595722675323,
-0.4861283004283905,
-0.23790785670280457,
0.07469962537288666,
-0.13089117407798767,
0.08761539310216904,
-0.8940749168395996,
0.107255697250366... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
One example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Solution is here: Natalo ng Italya ang Portugal sa puntos na 31-5 ... | "Kami ay nagpupunyagi sa pagsisikap na hindi kami mahulog sa bitag na ito," sabi ni Bashar Jaafari, ang Ambasador ng Syria sa Nagkakaisang Bansa. | 6 | NIv2 | task1118_alt_ja_fil_translation | fs_opt | [
0.12359371036291122,
0.5601821541786194,
-0.539053201675415,
0.12621955573558807,
0.13381831347942352,
-0.37856853008270264,
0.6292495727539062,
0.43875908851623535,
-0.12301027774810791,
-0.5199642181396484,
-1.401439905166626,
0.910542368888855,
-0.6075171828269958,
0.6729474663734436,
... |
You will be given a definition of a task first, then some input of the task.
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 s... | Anti-stereotype | 1 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
-0.12717217206954956,
0.3591868281364441,
-0.01238655298948288,
0.46923911571502686,
0.05401996150612831,
0.10200616717338562,
0.4488247036933899,
1.1581497192382812,
0.4641916751861572,
0.08253157883882523,
-0.5005053877830505,
-0.04691840708255768,
-0.07204519212245941,
-0.43566572666168... |
In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate anythi... | B
| 3 | NIv2 | task309_race_answer_generation | fs_opt | [
0.8283082246780396,
0.27554646134376526,
-0.4108807146549225,
-0.007790371775627136,
0.7288258075714111,
-0.37696439027786255,
0.6571292877197266,
0.9633885025978088,
-0.2734553813934326,
0.3994091749191284,
-0.5407953262329102,
0.26458972692489624,
-0.47574925422668457,
-0.035683277994394... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Then, the soldiers run on a trench to search a safe place while firing their firearms.
After other soldiers run and shoot while searching abandoned shelters.
The audience laughs at... | A Mexican band is playing and singing.
| 0 | NIv2 | task455_swag_context_generation | fs_opt | [
0.49334651231765747,
1.3848791122436523,
-1.1856657266616821,
-0.02329961210489273,
-0.7251893281936646,
0.1274048089981079,
0.45412546396255493,
0.1914149522781372,
0.13873152434825897,
-0.405573308467865,
-0.42451465129852295,
-0.40927207469940186,
-0.9093358516693115,
0.1708945631980896... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
See one example below:
Problem: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Solution: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Explanati... | こうして多額のお金を注ぎ込んで結果得られるものは ？ | 4 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
0.5496526956558228,
1.2178348302841187,
-0.6016554236412048,
0.15444415807724,
-0.742006778717041,
-0.5699954032897949,
1.160836100578308,
0.3187406659126282,
0.1984298825263977,
-0.5756871700286865,
-0.8092024326324463,
0.41899359226226807,
-1.1733494997024536,
0.23027276992797852,
0.62... |
Q: In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Sentence: 'picture of a baseball team during a game with man getting ready to bat'. Remove all words of length '2' in the given sentenc... | picture a baseball team during a game with man getting ready bat | 7 | NIv2 | task377_remove_words_of_given_length | zs_opt | [
-0.09775543212890625,
-0.0519668385386467,
-0.348117858171463,
-0.3422647714614868,
0.3092714548110962,
-0.8208765983581543,
-0.16059516370296478,
0.40839165449142456,
0.0016661195550113916,
-0.3719000220298767,
-1.077660322189331,
-0.1265936642885208,
-0.24885088205337524,
-0.225624293088... |
The provided file includes inquiries about restaurants, and we ask you to translate those to the Finnish language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloq... | etsi minulle " los cabos ". | 4 | NIv2 | task251_spl_translation_en_fi | zs_opt | [
-0.21678203344345093,
0.6867426633834839,
-0.20712119340896606,
0.10335209965705872,
-0.2703777551651001,
-0.10244689881801605,
0.7314348816871643,
0.6751511096954346,
-0.7285252213478088,
-0.5560775399208069,
-0.04113348200917244,
0.7917689085006714,
-0.4424877464771271,
0.864479422569274... |
TASK DEFINITION: You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
PROBLEM: E così si è offerto volontario per questo studio che abbiamo portato in tutto il mondo, anche negli USA.
SOLUTION: Zgłosił się więc na ochotnika do kluczowego badania, które prowadziliśmy na całym ... | To nie tylko rośliny uprawne, tak jak być może znają to Państwo ze zbiorów w Svalbard w Norwegii. To fantastyczny projekt.
| 8 | NIv2 | task1253_ted_translation_it_pl | fs_opt | [
-0.38262102007865906,
0.7756667137145996,
0.12363927066326141,
-0.43420305848121643,
-0.7965022325515747,
-0.5086264610290527,
0.8049973249435425,
0.31319183111190796,
0.13283416628837585,
-0.22443008422851562,
-0.45491519570350647,
0.7225131988525391,
-0.42889803647994995,
0.6809426546096... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Example input: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט. "" היא אמרה, "" יש בו צבעים. יש בו תנועה.
Example output: Pregunteille: "" É coma un soño? "" E dixo: "" Non, non é coma un soño. É co... | (Risas) Estas dúas últimas viñetas, fíxenas en tempo real nunha conferencia en Hanoi. | 3 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.4641105532646179,
0.718024730682373,
0.3640819787979126,
-0.754642903804779,
-0.4887695908546448,
-0.2770102024078369,
0.345184862613678,
0.07639443874359131,
-0.6951838731765747,
-0.5244677066802979,
0.0584740936756134,
0.1544714719057083,
-0.632544219493866,
-0.24714994430541992,
-0... |
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 | [
-0.7278058528900146,
0.808355450630188,
0.7946122288703918,
-0.42865392565727234,
0.23122866451740265,
-0.6326152682304382,
0.6647917628288269,
0.10171014070510864,
0.41586652398109436,
0.4691717028617859,
-0.8681200742721558,
0.12950557470321655,
-0.0838436558842659,
-0.20060506463050842,... |
Instructions: Given a sentence in Spanish, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
Input: Aquí vemos a los operadores pseudo-diferenciales como una generalización de los operadores diferenciales.
Output: | 의사 미분 연산자는 여기에서 미분 연산자의 일반화로 간주됩니다. | 3 | NIv2 | task796_pawsx_spanish_korean_translation | zs_opt | [
-0.3717775344848633,
0.7370107769966125,
-0.7577359080314636,
-0.833040714263916,
-0.05318538099527359,
-0.0706741064786911,
0.9608198404312134,
0.5738337635993958,
0.6758919954299927,
0.027170054614543915,
-0.7938330769538879,
-0.11811302602291107,
0.1861080378293991,
0.16977083683013916,... |
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make ... | Output: They have a test .
| 2 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
0.8494970798492432,
0.8677300214767456,
-0.552007257938385,
0.29586151242256165,
0.18323442339897156,
-1.2662051916122437,
0.9717135429382324,
0.690129280090332,
-0.490622341632843,
0.046809371560811996,
-0.21478238701820374,
-0.16662989556789398,
-1.3433113098144531,
0.12512344121932983,
... |
Detailed Instructions: In this task, a passage will be given and the goal is to generate a question about temporal relations based on that passage. A temporal relation describes the relation between two things with respect to time e.g., something happens/starts/terminates/... immediately/shortly/usually/... before/afte... | What event has already finished? | 4 | NIv2 | task389_torque_generate_temporal_question | fs_opt | [
-0.1768261194229126,
0.6928730010986328,
-0.20558543503284454,
0.42246678471565247,
-0.12736967206001282,
0.09024300426244736,
0.42140164971351624,
0.7256397604942322,
0.5687878131866455,
0.7677913904190063,
0.11483436077833176,
0.6789597868919373,
-0.5864385366439819,
0.29838892817497253,... |
Teacher: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 and their positions ... | 1a, 3c | 6 | NIv2 | task222_rocstories_two_chioce_slotting_classification | zs_opt | [
-0.1409246027469635,
0.1272856891155243,
-0.05373319238424301,
0.10849052667617798,
0.20438694953918457,
0.010196482762694359,
0.1546487659215927,
1.1288909912109375,
-0.3633590638637543,
0.11669222265481949,
-0.13982945680618286,
-0.08991557359695435,
-0.2917135953903198,
-0.7485817670822... |
This task is about translating a given English language sentence to Spanish.
[EX Q]: That literally make reference to this land
[EX A]: Lo que literalmente hacer referencia a esta tierra
[EX Q]: language is one with that enables the construction of elegant programs that focus on the functions.
[EX A]: En particulares... | Rick está haciendo lo mismo que Al Gore está tratando de hacer.
| 6 | NIv2 | task1691_qed_amara_translation | fs_opt | [
-0.8327194452285767,
1.2108780145645142,
0.20386415719985962,
-0.6286062002182007,
-0.5035060048103333,
-1.2187036275863647,
1.1224000453948975,
0.8969523906707764,
-0.07755767554044724,
-0.7626937627792358,
-0.43476229906082153,
0.11294950544834137,
-0.26290374994277954,
0.751477241516113... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in English. Your job is to translate the English sentence into Italian.
This man was extremely successful: he was confident and powerful.
Output: | Quest'uomo aveva un enorme successo: aveva fiducia in sé ed era potente. | 1 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
-0.16544954478740692,
1.2635798454284668,
0.44975546002388,
-0.4025968611240387,
0.4537736177444458,
-0.35131606459617615,
0.741874098777771,
0.8388599157333374,
0.6381358504295349,
-0.06347967684268951,
-0.7685736417770386,
0.6747393608093262,
-0.8221548795700073,
0.21993184089660645,
0... |
Detailed Instructions: In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The... | E | 9 | NIv2 | task534_farstail_entailment | zs_opt | [
-0.09153203666210175,
0.1725580096244812,
-0.6606267094612122,
0.28269365429878235,
-0.017877165228128433,
-0.7261340022087097,
0.7847788333892822,
0.11469364166259766,
0.36076122522354126,
-0.21466678380966187,
-0.04419806972146034,
-0.20138826966285706,
0.025954492390155792,
-0.273835301... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Input: Consider Input: ['2145', 'I', '609', '5327', 'Q', '2529', 'm', '3463', 'y']
Output: 2145, 609, 5327, 2529, 3463
Input: Consider Input: ['X', '1625', '750... | Output: 4015, 7569, 4247, 3335, 2803, 3027, 4931, 4101, 8709
| 2 | NIv2 | task497_extract_all_numbers_from_list_in_order | fs_opt | [
0.30063384771347046,
-0.035350702702999115,
-0.4684126377105713,
-0.5517419576644897,
-0.372828871011734,
-0.5671916007995605,
0.6076668500900269,
0.6164706349372864,
-0.6914409399032593,
0.3294871151447296,
-0.7375388145446777,
0.06126368045806885,
-0.21688231825828552,
0.0556345470249652... |
Teacher:In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
Teacher: Now, u... | [49, 514] | 6 | NIv2 | task206_collatz_conjecture | zs_opt | [
-0.44342154264450073,
0.394867479801178,
-0.123247891664505,
-1.0194685459136963,
-0.30076682567596436,
-0.0031469902023673058,
1.0092610120773315,
0.5978348851203918,
-0.08427788317203522,
0.5506992340087891,
-0.2930757999420166,
-0.23715327680110931,
-0.516078531742096,
-0.51314687728881... |
You will be given a definition of a task first, then some input of the task.
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
CONTEXT: El candidato de C... | a la presidencia del Gobierno | 1 | NIv2 | task1334_sqac_answer_generation | zs_opt | [
0.06065969169139862,
0.5243126153945923,
-0.38539740443229675,
-0.29036152362823486,
0.0033669776748865843,
-0.5828863978385925,
0.942805290222168,
0.5182024240493774,
-0.49943023920059204,
0.6417770981788635,
0.12990012764930725,
0.657152533531189,
0.10422448068857193,
0.14185062050819397... |
You are given a mathematical question described with a circumscribed mathematical vocabulary. Questions in this task usually contain some variables (e.g. X, Y), equations (e.g. X+Y=3) and some relationships (X is greater than Y). Often you need to find the value of the variable using equations and relationships. You ar... | A | 6 | NIv2 | task104_semeval_2019_task10_closed_vocabulary_mathematical_answer_generation | fs_opt | [
0.2600138485431671,
0.005406597629189491,
-0.6841219663619995,
-0.3647083044052124,
-0.1929631233215332,
-0.28016379475593567,
1.112288475036621,
1.2053163051605225,
0.218664288520813,
-0.1663033813238144,
-0.8787636756896973,
0.44992920756340027,
-0.06713993847370148,
-0.08672648668289185... |
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... | TIME
****
| 4 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
0.41541141271591187,
0.5606290102005005,
-0.381023645401001,
0.10297831147909164,
0.5377601385116577,
-0.12037502974271774,
1.3587069511413574,
0.9203619956970215,
-0.45347535610198975,
0.32264572381973267,
-0.09222055971622467,
0.6511547565460205,
-0.6137842535972595,
0.03601045161485672,... |
A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
Q: सुशासन, विकास आणि लोकांची प्रगती, लोकांची समृद्धी, समाजात शांतता हे सर्व मुद्दे त्यांच्या केंद्रस्थानी आहेत.
A: | સુશાસન, લોકોનો વિકાસ અને પ્રગતિ, લોકોની સમૃદ્ધિ, સમાજમાં શાંતિ આ જ બધા વિષયો તેમના કેન્દ્રમાં છે. | 4 | NIv2 | task984_pib_translation_marathi_gujarati | zs_opt | [
0.4475352168083191,
0.4951516389846802,
0.13953259587287903,
-0.890063464641571,
0.10397884249687195,
-1.3034974336624146,
0.14941304922103882,
-0.35819557309150696,
-0.49174025654792786,
-0.8917474746704102,
-0.3071969151496887,
-0.04955097660422325,
-0.2467183768749237,
0.014123861677944... |
Part 1. Definition
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if i... | No | 7 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt | [
0.021754298359155655,
0.314205139875412,
-0.2953644394874573,
0.46925967931747437,
0.12947005033493042,
-0.2886733412742615,
0.23642432689666748,
1.0240947008132935,
0.31343042850494385,
-0.20171187818050385,
-0.1478918492794037,
-0.2290392369031906,
-0.765535831451416,
-0.4178957641124725... |
In the following task, you are given a yes/no question, its answer, and additional information which includes a description of a key term in the question and several facts. Your task is to "decompose the question"i.e. write the steps required to construct the given answer where each step is a question that can be answe... | Step1: What are characteristics of anorexia nervosa?, Step2: How much did Jon Brower Minnoch weigh?, Step3: Is #2 a weight that would be considered #1?, Wikipedia page for step 1: anorexia nervosa, Wikipedia page for step 2: Jon Brower Minnoch, Wikipedia page for step 3: , not_definitive_answer: False, incorrect_answer... | 1 | NIv2 | task168_strategyqa_question_decomposition | fs_opt | [
0.7054266929626465,
-0.43191805481910706,
-0.6304208040237427,
0.3913995027542114,
0.14343398809432983,
-0.16195796430110931,
0.9078953266143799,
0.5762336254119873,
-0.44768261909484863,
0.06323640793561935,
-0.4254712462425232,
0.2400732934474945,
-0.512769877910614,
0.32270556688308716,... |
Part 1. Definition
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given... | None | 7 | NIv2 | task294_storycommonsense_motiv_text_generation | fs_opt | [
-0.45671725273132324,
0.4241909086704254,
-0.43200820684432983,
-0.10558700561523438,
-0.09727748483419418,
-0.29210364818573,
0.9909916520118713,
0.19954654574394226,
0.3100026845932007,
-0.2456551343202591,
-0.4538760483264923,
-0.2018599808216095,
-0.5138050317764282,
0.0652630925178527... |
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".
[Q]: Japanese: 大地の動きは632.9キロメートルの深さで起こった。
Thai: โรเจอร์ เวบบ์ นักวิจัยชั้นนำ แห่งศูนย์ป้องกันการฆ่าตัวตาย... | Yes
| 5 | NIv2 | task1129_alt_ja_th_answer_generation | fs_opt | [
-0.3612469434738159,
-0.4665699899196625,
-0.07350718975067139,
-0.2651769518852234,
0.22032251954078674,
-0.863075852394104,
0.5690313577651978,
0.7570669054985046,
-0.5225207209587097,
-0.12812769412994385,
-0.8349379301071167,
0.6323519945144653,
-0.2689743638038635,
0.3287373185157776,... |
Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive c... | Neither | 2 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-0.8434582948684692,
0.35745206475257874,
0.3536248803138733,
0.3943517208099365,
-0.1258608102798462,
-0.8038957118988037,
0.10730999708175659,
0.2265213578939438,
0.32231003046035767,
0.43276190757751465,
-0.2285967767238617,
-0.5741658210754395,
-0.5474074482917786,
-0.9525481462478638,... |
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