inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then some input of the task.
In this task, given a sentence in the Filipino language, your task is to convert it into the English language.
Ang Unionist na si Li Fung-ying ay nalilito rin kung ang babol gam ay itinuring na pagkain.
Output: | Unionist Li Fung-ying is also confused whether chewing gum was considered food. | 1 | NIv2 | task545_alt_translation_fi_en | zs_opt | [
-0.4711862802505493,
-0.014762524515390396,
0.19155851006507874,
-0.0649944469332695,
-0.3512064218521118,
-0.14423060417175293,
0.533274233341217,
0.5561643838882446,
-0.17874222993850708,
-0.0972072035074234,
-0.31028664112091064,
0.5055289268493652,
-0.2403358817100525,
0.15676307678222... |
Q: In this task, you are given two sentences taken from a conversation, and your job is to classify whether these given sentences are sequential or not. We will mark the given sentence pair as 'True' if it's sequential, otherwise 'False'. The two sentences are spoken by two different people.
Jon: ohhhhhhh thank you s... | False | 7 | NIv2 | task1573_samsum_classification | zs_opt | [
-0.9685080647468567,
0.39395084977149963,
0.2898152470588684,
-0.5412567257881165,
0.1407976746559143,
-0.6525572538375854,
0.27683013677597046,
0.18327102065086365,
-0.1776151955127716,
0.6760354042053223,
-0.30219751596450806,
0.12452664971351624,
-0.3370441794395447,
0.24760887026786804... |
Detailed Instructions: In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answe... | Question: How many fishermen were in sea?, Answer: Three | 9 | NIv2 | task182_duorc_question_generation | zs_opt | [
1.2958905696868896,
0.17396923899650574,
-0.9155823588371277,
-0.08844739198684692,
0.5525708198547363,
-0.5562188625335693,
1.188528060913086,
0.9745274782180786,
-0.45681488513946533,
0.7212814092636108,
0.03968814015388489,
-0.16891442239284515,
-0.7317068576812744,
0.5713335871696472,
... |
Q: Given a sentence in Arabic, generate a new Arabic 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 ... | قد تكون هناك حاسبات في غرفة مرتبة | 7 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | zs_opt | [
-0.29745376110076904,
0.9456995725631714,
-0.07660698145627975,
-0.4945674240589142,
-0.19687899947166443,
0.16964636743068695,
0.6703543663024902,
0.8586870431900024,
-0.1682574450969696,
-0.20064660906791687,
-0.9083070158958435,
0.3511660099029541,
-0.8823578357696533,
-0.11331087350845... |
Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
Input: Consider Input: Question: Which is larger: the human sperm or the human egg? Answer: human egg
Output: A human sperm is a tiny cell with... | Output: The kinetic-molecular theory describes the behavior of an ideal gas.
| 2 | NIv2 | task593_sciq_explanation_generation | fs_opt | [
0.006469625048339367,
0.7296290397644043,
-0.40270838141441345,
-0.1655876636505127,
-0.6423913836479187,
-1.0693296194076538,
-0.1333574801683426,
0.995976984500885,
-0.2742132544517517,
0.22160126268863678,
-0.6648312211036682,
0.5473957061767578,
-0.734148383140564,
-0.20742791891098022... |
Detailed Instructions: 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".... | C | 8 | NIv2 | task309_race_answer_generation | zs_opt | [
0.11573907732963562,
0.09254777431488037,
-0.6621124148368835,
-0.45857322216033936,
0.013148076832294464,
0.19552436470985413,
1.5648318529129028,
0.7685118913650513,
-0.24933847784996033,
0.21075107157230377,
-0.1600552797317505,
0.9980719089508057,
-0.2207121104001999,
-0.45720323920249... |
Detailed Instructions: Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Q: Simple, smooth, this case and keyboard was everything I was looking for. Made me love my tablet, turned it into something I needed, not just something I wanted
A: | Made me love my tablet | 9 | NIv2 | task1342_amazon_us_reviews_title | zs_opt | [
-0.13996878266334534,
0.37634730339050293,
0.12061819434165955,
-0.8073607683181763,
0.484253466129303,
-0.5785300731658936,
0.21143251657485962,
-0.17337383329868317,
0.04290217161178589,
0.5763299465179443,
0.586544394493103,
0.16141459345817566,
-0.7799488306045532,
-0.1136167049407959,... |
Detailed Instructions: In this task, we ask you to write an implausible answer to a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, et... | 63 times. | 8 | NIv2 | task017_mctaco_wrong_answer_generation_frequency | zs_opt | [
-0.7611874341964722,
0.531574010848999,
-0.36092686653137207,
-0.047025762498378754,
-0.4792138338088989,
-0.5417597889900208,
0.4755447506904602,
0.09301356971263885,
-0.36735010147094727,
-0.2748751938343048,
-0.8647950887680054,
0.009778687730431557,
-0.6963585019111633,
0.4695656299591... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if the given answer is wrong for question.
Context: Meet Alejandro - 3rd llama, a... | yes | 0 | NIv2 | task241_tweetqa_classification | zs_opt | [
-0.4330110549926758,
-0.18361181020736694,
0.248165100812912,
0.3863275349140167,
-0.3447949290275574,
0.28201091289520264,
-0.09113343805074692,
0.23756420612335205,
-0.864321231842041,
-0.33568260073661804,
0.05925889313220978,
0.14932432770729065,
-0.8143895268440247,
-0.032109081745147... |
In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"s.
Ex Input... | A
| 1 | NIv2 | task329_gap_classification | fs_opt | [
-0.31248050928115845,
-0.4599881172180176,
-0.12432964146137238,
0.589157223701477,
0.25387126207351685,
-0.42382901906967163,
0.32277384400367737,
0.898901641368866,
-0.5717694163322449,
0.07766670733690262,
-0.8640440702438354,
0.37329423427581787,
0.6146053671836853,
-0.3557941019535064... |
Instructions: You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Input: Event:PersonX takes ___ to the mounta... | great pleasure | 3 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.25648871064186096,
-0.02342689409852028,
-0.3899548649787903,
-0.26901859045028687,
-0.5336645245552063,
-0.5891185402870178,
1.0374293327331543,
0.6157875061035156,
0.26387935876846313,
-0.9168089628219604,
0.39261394739151,
0.022639349102973938,
-0.5443342924118042,
0.02513919956982135... |
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 in the sentence. Y... | Solution: to make her life easier. | 5 | NIv2 | task294_storycommonsense_motiv_text_generation | fs_opt | [
0.07542456686496735,
0.14892041683197021,
-0.8834592700004578,
0.4344921112060547,
-0.08379779756069183,
-0.1809559464454651,
0.8766283988952637,
0.7697144150733948,
-0.2534414827823639,
0.24997036159038544,
-0.022951893508434296,
0.22349455952644348,
-0.1635376513004303,
0.235277503728866... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
[Q]: In which Shakespeare play do the characters Ajax, Achilles and Ulysses appear?
[A]: achilles
[Q]: Billy the Kid was a native of which US state?
[A]: billy
[Q]: Which of these artists was... | abstract expressionism
| 5 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
0.07935187220573425,
0.9919016361236572,
-0.20998522639274597,
0.20226898789405823,
-0.5453943014144897,
-0.9638909101486206,
0.5907342433929443,
0.6274809837341309,
0.5695548057556152,
-0.540669322013855,
0.27632850408554077,
1.22471022605896,
-0.5593297481536865,
0.09744445234537125,
0... |
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Q: Personality: I started a new job this year, which is helping me learn more about socializ... | Please, I'm begging! I have to go to the maroon 5 concert.
****
| 4 | NIv2 | task1730_personachat_choose_next | fs_opt | [
0.6341493725776672,
-0.18761947751045227,
-0.9002729654312134,
0.23704302310943604,
0.20616760849952698,
-0.43929076194763184,
0.7571508288383484,
0.42025184631347656,
-0.39195549488067627,
-0.49812784790992737,
-0.180945485830307,
-0.1571529358625412,
-0.4747774004936218,
0.01939010620117... |
Instructions: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sent... | 14 | 3 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.1885867714881897,
0.5874377489089966,
-0.07218986749649048,
-0.22565175592899323,
0.11012087762355804,
0.24153444170951843,
0.6195966005325317,
0.2597602605819702,
-0.08854183554649353,
-0.19163616001605988,
-0.6529728770256042,
-0.5782372355461121,
-0.979218602180481,
-0.18263033032417... |
Part 1. Definition
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An iden... | no | 7 | NIv2 | task108_contextualabusedetection_classification | fs_opt | [
-0.43781113624572754,
0.24183815717697144,
0.22076977789402008,
0.31525129079818726,
-0.4362788498401642,
-0.2290511429309845,
0.7549148201942444,
0.5354650020599365,
0.4596503973007202,
0.022722680121660233,
-0.00374736194498837,
-0.03519006818532944,
-0.4734504520893097,
-0.2827803194522... |
Definition: In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
Input: " Emotions tell you that you're alive, " he countered.
O... | Past | 2 | NIv2 | task429_senteval_tense | zs_opt | [
-0.21974965929985046,
-0.12181932479143143,
0.5397849082946777,
0.2992054224014282,
0.3014692962169647,
-0.38936102390289307,
1.034240961074829,
0.8353429436683655,
0.10411050915718079,
0.15525352954864502,
-0.546834409236908,
-0.15313924849033356,
-0.5087730288505554,
0.22062276303768158,... |
Given the task definition and input, reply with output. In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additio... | strengthener | 5 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.6341869831085205,
0.6366645693778992,
0.1960170865058899,
0.4357829689979553,
0.12658339738845825,
-0.5222275257110596,
0.6698797941207886,
0.7387372255325317,
0.5970314145088196,
-0.6040992736816406,
-1.4433225393295288,
-0.23403829336166382,
-0.37993884086608887,
0.0677206888794899,
... |
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the endin... | Mike is now fluent in Spanish. | 8 | NIv2 | task071_abductivenli_answer_generation | fs_opt | [
-0.45984625816345215,
0.734889030456543,
0.2191755622625351,
-1.1024107933044434,
-0.631752610206604,
0.37132081389427185,
0.7836276292800903,
0.5966660976409912,
-0.061147332191467285,
-0.44435247778892517,
-0.4819490909576416,
0.47030335664749146,
0.11466635018587112,
0.14819318056106567... |
You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and No.
Q: ... | No. | 4 | NIv2 | task050_multirc_answerability | zs_opt | [
-0.9529554843902588,
0.6244891881942749,
0.5298507213592529,
0.5894248485565186,
-0.2823525667190552,
-1.1607125997543335,
0.2403477132320404,
0.8721393346786499,
0.09765536338090897,
-0.35307422280311584,
-0.2757594585418701,
0.28455328941345215,
-0.22520160675048828,
0.1767900586128235,
... |
Teacher: A text is given in English. Translate it from the English language to the Marathi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
And I see that venerable Bapus dream was a solemn pl... | काही निवडक क्षेत्रात आयातीवरची आपली निर्भरता आपण कमी करू शकतो का ? | 2 | NIv2 | task1085_pib_translation_english_marathi | fs_opt | [
-0.25683802366256714,
0.7918258309364319,
-0.022730255499482155,
-0.9507818222045898,
-0.06920889019966125,
-1.7474268674850464,
0.6668992042541504,
0.65090012550354,
-0.05247245728969574,
0.06552731245756149,
-0.2980167269706726,
0.33014941215515137,
-0.4196656346321106,
-0.66957938671112... |
Definition: In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Input: Un trecător a găsit băiatul de-a lungul unui drum de pământ în Spanish Fork Canvon, în jurul orei 7 p.m., joi, cu picioarele libere, dar mâinile încă lipite.
Outp... | A passer-by found the boy hiding along a dirt road in Spanish Fork Canyon about 7 p.m. Thursday, with his feet free but his hands still taped. | 2 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
0.17486470937728882,
0.1829785406589508,
0.15115448832511902,
-0.2847374677658081,
-0.42189842462539673,
-0.27667683362960815,
0.2367965579032898,
0.9364986419677734,
0.4308997392654419,
-0.17923392355442047,
0.1628628373146057,
0.8322095274925232,
-0.44809994101524353,
0.28243154287338257... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Q: Y una vez más, nuevas formas de riqueza emergieron.
A: | And again, new forms of wealth emerged. | 9 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.22522582113742828,
1.0515625476837158,
0.6422693729400635,
-0.5263998508453369,
-0.038145288825035095,
-0.07056020200252533,
0.06184910237789154,
1.6699657440185547,
0.27383989095687866,
-1.1281979084014893,
-0.3529397249221802,
0.0343174934387207,
-0.5700042247772217,
0.160701975226402... |
Definition: In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner li... | [-49, -273, -1, 45, 33, 0, -585, -205, 400365] | 2 | NIv2 | task852_synthetic_multiply_odds | zs_opt | [
-0.3396129906177521,
0.24684152007102966,
-0.7241379022598267,
-0.17991477251052856,
0.029914602637290955,
0.47659391164779663,
0.73128342628479,
0.16005782783031464,
0.05539851635694504,
-0.13565953075885773,
-1.013065218925476,
-0.5184581875801086,
-0.280294269323349,
-0.0905770286917686... |
Detailed Instructions: In this task, You are given an amazon review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False"
Problem:Review: The ball comes not inflated, and when you first inflate it, it looks lopsided, since it w... | True | 8 | NIv2 | task1313_amazonreview_polarity_classification | zs_opt | [
-0.13291680812835693,
0.1510559320449829,
0.15170876681804657,
-0.038181960582733154,
0.1208941638469696,
-0.2648676633834839,
1.0871787071228027,
-0.11046431958675385,
0.5036887526512146,
0.010667242109775543,
-0.38068151473999023,
0.3576931357383728,
-0.5293477773666382,
-0.2760459482669... |
Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the t... | And a marine geologist does the same, but in the water. | 6 | NIv2 | task037_qasc_generate_related_fact | fs_opt | [
-0.20082160830497742,
0.5840610265731812,
-0.8016324639320374,
-0.24177339673042297,
-0.5208181142807007,
-1.1642985343933105,
-0.18773393332958221,
0.8423513770103455,
-0.4117421805858612,
0.1348603367805481,
-1.0220935344696045,
0.819762110710144,
-0.5130029916763306,
-0.1369073837995529... |
You will be given a definition of a task first, then some input of the task.
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
My husband actually uses this as a barrier between his head and his CP... | positive | 1 | NIv2 | task1312_amazonreview_polarity_classification | zs_opt | [
-0.1596001237630844,
0.02853107638657093,
0.31395837664604187,
-0.9765834808349609,
-0.13975074887275696,
-0.12860772013664246,
0.6106191873550415,
0.1043153703212738,
-0.13289551436901093,
0.672783374786377,
-0.412904292345047,
-0.41182804107666016,
-0.6170070171356201,
-0.278339624404907... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Q: حينما أصل إلى أستراليا إذا وصلت إلى أستراليا سأكون قد جدفت ما يقارب تسعة أو عشرة ألاف ميل بصورة إجمالية
A: | עד שאגיע לאוסטרליה, אם אגיע לאוסטרליה, אחתור בערך 9 או 10 מליון מייל בסה "" כ. | 4 | NIv2 | task1233_ted_translation_ar_he | zs_opt | [
-0.21758276224136353,
0.2108478546142578,
-0.5189184546470642,
-0.4282133877277374,
-0.9836900234222412,
0.11561217904090881,
0.1307891309261322,
-0.23252204060554504,
0.054715096950531006,
-0.8469626903533936,
0.01729743927717209,
0.7086555361747742,
-1.0494786500930786,
0.040668971836566... |
Part 1. Definition
You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Part 2. Example
Udostępniam rozwiązanie. Jestem bardzo szczęśliwy.
Answer: Brindo soluciones. Estoy muy feliz.
Explanation: The Polish sentence is correctly translated into Spanish, because the meaning is p... | No requiere entrenamiento especial. | 7 | NIv2 | task1258_ted_translation_pl_es | fs_opt | [
-0.8142714500427246,
0.8014256954193115,
-0.14960306882858276,
-0.7039543986320496,
-0.005632619373500347,
-0.4591106176376343,
1.4034383296966553,
-0.5168904662132263,
0.3321548104286194,
-1.1016974449157715,
-0.5948362350463867,
0.3169100880622864,
-0.3713007867336273,
0.4599947631359100... |
In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Ex Input:
Text: so i notice she is coming up the stairs, say hi like a good neighbor 'how... | TIFU By punching my pooch...
| 1 | NIv2 | task510_reddit_tifu_title_summarization | fs_opt | [
-0.09981109201908112,
0.30710098147392273,
-0.27970683574676514,
0.5165635347366333,
0.19311478734016418,
-0.3185938596725464,
0.44710591435432434,
0.6986578106880188,
-0.24527394771575928,
0.19150583446025848,
-0.28656134009361267,
0.36676856875419617,
-0.8137387037277222,
-0.227356970310... |
Detailed Instructions: An answer is given. Generate a question for which the given answer is either a direct or partial answer.
See one example below:
Problem: Answer: victoria woodhull
Solution: who was the first women to run for presidency in the us?
Explanation: The given answer directly answers the generated questi... | what are the highest mountains in central america? | 4 | NIv2 | task443_com_qa_ans_question_generation | fs_opt | [
0.26460540294647217,
0.6996291279792786,
-0.34579795598983765,
-0.06528764963150024,
-0.4173510670661926,
-0.9221621751785278,
0.8478152751922607,
0.573268711566925,
1.1903551816940308,
-0.08640450239181519,
0.06829880177974701,
-0.19513888657093048,
-0.5502517819404602,
-0.061418071389198... |
In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.... | [404, 535]
| 5 | NIv2 | task372_synthetic_palindrome_numbers | fs_opt | [
-0.6566252112388611,
0.17552152276039124,
-0.40637874603271484,
-0.6947338581085205,
-0.3850092887878418,
0.03824642300605774,
0.5538783073425293,
0.5316446423530579,
-0.8249427080154419,
-0.12932974100112915,
-0.7581074237823486,
0.19315768778324127,
-0.27734002470970154,
-0.2474708557128... |
Given the task definition and input, reply with output. In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Context: Quinn was trying to let their friend know how they felt. Quinn defined... | How would Quinn feel as a result? | 5 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
-0.7310337424278259,
0.6682953834533691,
0.6848659515380859,
-0.652704656124115,
-0.10987059772014618,
-0.44704264402389526,
0.48721736669540405,
0.0728292167186737,
0.2438606321811676,
0.22255155444145203,
-0.1524563580751419,
0.4446212649345398,
-0.9844788312911987,
0.2755666971206665,
... |
Teacher:In this task, you are given a sentence in English language and its corresponding French translation. Here, your job is to output "yes" if the translation is correct, otherwise output "no".
Teacher: Now, understand the problem? Solve this instance: English: What if we can work towards directing some of this inve... | yes | 6 | NIv2 | task831_giga_fren_classification | zs_opt | [
-0.08943595737218857,
0.19550460577011108,
0.7494096159934998,
-0.1756405085325241,
0.17681391537189484,
-0.34497883915901184,
0.22325244545936584,
0.6604247093200684,
0.11233071237802505,
0.11634078621864319,
0.5734429359436035,
0.007759414613246918,
-0.22096148133277893,
-1.0287096500396... |
In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: Consider Input: ボーナスディスクについて . 最近のボーナスディスクって結構凝ったものが多いし、収録曲を見ると『Sun King』やら『Back ... | Output: POS
| 2 | NIv2 | task487_cls_japanese_music_classification | fs_opt | [
0.022472940385341644,
-0.07724155485630035,
-0.41050177812576294,
0.25492340326309204,
0.16075961291790009,
-0.08341814577579498,
0.8933091163635254,
0.5817672610282898,
-0.11726227402687073,
0.20373015105724335,
-0.28510403633117676,
-0.3872836232185364,
-0.11437664180994034,
-0.150049895... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
بعد از آنهمه دولا و راست شدن وسط گلها، فکر کردم کمی راه رفتن برایش مفید است بعد از خستگی آن کار، هیچ چیز به قدر پیادهروی حال آدم را جا نمیآورد.
But I thought it would rather do her good after being stooping among the ... | the air filled with obscenity and ribald language,
| 0 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.3999951481819153,
0.168235182762146,
-1.1491360664367676,
0.6635185480117798,
-0.8571010231971741,
-0.42585545778274536,
0.944382905960083,
0.5293103456497192,
0.3342285752296448,
-0.5966758131980896,
-0.3303638696670532,
0.03791453689336777,
-0.2865046262741089,
0.26960575580596924,
... |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on... | Output: Original
| 2 | NIv2 | task515_senteval_odd_word_out | fs_opt | [
-0.6053265929222107,
1.3949073553085327,
0.2372058629989624,
-0.25536519289016724,
-0.21066920459270477,
-0.3723360300064087,
0.637873649597168,
0.7545163631439209,
0.13303717970848083,
-0.00025075627490878105,
-0.7401590347290039,
-0.5403432846069336,
-0.7538694739341736,
-0.3208141028881... |
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Let me give you an example: Personality: I like spending time with my friends and family.
I ... | Hi! how are you doing? What do you do? | 8 | NIv2 | task1730_personachat_choose_next | fs_opt | [
0.12906762957572937,
-0.08066295087337494,
-0.5395389199256897,
0.10008189082145691,
0.015553385950624943,
-0.5396651029586792,
1.058154821395874,
0.05426487326622009,
-0.5979753732681274,
-0.4636912941932678,
-0.20847856998443604,
-0.1136498898267746,
-0.37008464336395264,
-0.168822959065... |
You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
Q: there were 150 book shelves . each book shelf ha... | 2250 | 4 | NIv2 | task864_asdiv_singleop_question_answering | zs_opt | [
0.44374942779541016,
-0.04141966253519058,
-0.13966572284698486,
-0.35909879207611084,
0.20774778723716736,
0.3924638628959656,
0.6713175773620605,
0.10722465068101883,
0.23250669240951538,
-0.5677617788314819,
-0.3425886631011963,
-0.3319666087627411,
-0.8478164076805115,
-0.0057932804338... |
Definition: In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
Input: Says Gov. Scott Walker ... | criminal-justice | 2 | NIv2 | task613_politifact_text_generation | zs_opt | [
-0.04446396976709366,
0.33063459396362305,
-0.3956678807735443,
-0.11336389929056168,
-0.3414818048477173,
-0.3731575310230255,
0.44108712673187256,
0.09664648771286011,
0.7602273225784302,
-0.015369958244264126,
0.20884495973587036,
0.5366177558898926,
-0.4903336763381958,
0.4337789416313... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
سر و صدا به موسیقی مبدل می شود.
A: | O ruído transfórmase en música. | 7 | NIv2 | task1270_ted_translation_fa_gl | zs_opt | [
-0.8192825317382812,
1.4982166290283203,
-0.33030134439468384,
0.06276101619005203,
-0.6089439392089844,
0.28815221786499023,
0.5863763689994812,
0.5341331362724304,
0.4440299868583679,
0.006810075603425503,
-0.047168612480163574,
-0.05775395408272743,
-0.265103816986084,
0.076934389770030... |
Teacher:In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: geopolitical or non-geopolitical dependin... | non-geopolitical | 6 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | zs_opt | [
-0.7140489220619202,
0.6084712743759155,
0.530663013458252,
-0.3137299418449402,
-0.7212997674942017,
-0.5456689596176147,
0.3413822054862976,
-0.27534523606300354,
0.08253537118434906,
-0.3895043730735779,
-0.36773037910461426,
-0.09618932753801346,
-0.664942741394043,
-0.1868568062782287... |
Definition: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
Input: "" طراحی انسانها ، "" اگر مایل باشید.
Output: | "" Humanos de diseño "", si se quiere. | 2 | NIv2 | task1267_ted_translation_fa_es | zs_opt | [
-1.143701434135437,
0.47752976417541504,
0.0415191724896431,
0.012152357026934624,
-0.3865751326084137,
-0.22251670062541962,
0.4690418839454651,
0.4343307912349701,
0.7389214038848877,
0.30035001039505005,
-0.48284268379211426,
0.14710384607315063,
0.6212273836135864,
0.337322860956192,
... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | No | 4 | NIv2 | task1213_atomic_classification_desires | fs_opt | [
0.016459863632917404,
0.3086068630218506,
0.19726499915122986,
-0.13366425037384033,
-0.4820723831653595,
-0.7852566838264465,
1.1448801755905151,
0.34286749362945557,
-0.6503267884254456,
-0.32011041045188904,
-0.2503633499145508,
-0.33502382040023804,
-0.49279478192329407,
0.273199617862... |
instruction:
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 commonsense plausibility, that is to have reasonable probabilit... | Het graafschap zal een mooie plek zijn als het vrij is van gezag.
| 9 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.80254065990448,
1.3321703672409058,
-0.4063228368759155,
-0.24486759305000305,
-0.7546918392181396,
-0.4338687062263489,
0.32603901624679565,
0.3831931948661804,
0.40219780802726746,
-0.9056339263916016,
-0.8199337720870972,
0.6649231910705566,
-0.8175932168960571,
0.45330873131752014,
... |
You are given a passage. Using the information present in the passage, you need to classify it into one of the 10 topics: 0 - 'Society & Culture', 1 - 'Science & Mathematics', 2 - 'Health', 3 - 'Education & Reference', 4 - 'Computers & Internet', 5 - 'Sports', 6 - 'Business & Finance', 7 - 'Entertainment & Music', 8 - ... | 8
| 1 | NIv2 | task1593_yahoo_answers_topics_classification | fs_opt | [
0.3121834397315979,
0.2957381010055542,
-0.0036157446447759867,
-0.04528925567865372,
0.04778388887643814,
-0.4258164167404175,
0.2974325120449066,
0.8556489944458008,
-0.02058778889477253,
-0.044838663190603256,
-0.038800328969955444,
0.16319477558135986,
-0.5181699991226196,
-0.231089249... |
Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is wrong) and NOBODY ... | EVERYBODY | 4 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | zs_opt | [
0.8675730228424072,
0.17893701791763306,
-0.6450705528259277,
0.046727947890758514,
0.21553415060043335,
-0.351542592048645,
0.594801664352417,
0.662246823310852,
0.062790147960186,
-0.03712761402130127,
0.19483903050422668,
0.8332538604736328,
-0.7454709410667419,
0.11590632796287537,
0... |
In this task, you are given a sentence in Arabic, and your task is to translate it into English.
Q: هذا جنوني
A: This is insane.
****
Q: وبعدهم الأسباني* "*.."لويس سولر بورّيغو
A: Then there's the Spaniard Luis Soler-Borrego...
****
Q: (أنت تقلل من قيمة السحر يا (فيرغس لطالما فعلت ذلك
A: | You underestimate witchcraft, Fergus, always have.
****
| 4 | NIv2 | task650_opus100_ar_en_translation | fs_opt | [
-0.37194618582725525,
0.7023454308509827,
-0.03313130885362625,
-1.2742366790771484,
-0.41397494077682495,
0.14547236263751984,
1.5186481475830078,
-0.18442411720752716,
0.527023196220398,
-0.28021758794784546,
-0.8752756118774414,
0.6251797676086426,
-0.9563992023468018,
0.056992679834365... |
Given a paragraph about cooking, and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a pref... | Yes | 4 | NIv2 | task1439_doqa_cooking_isanswerable | zs_opt | [
0.16819095611572266,
0.1566428691148758,
-0.42872148752212524,
0.6211229562759399,
0.15159782767295837,
-0.7599104642868042,
1.184720754623413,
0.6658774018287659,
-0.8020988702774048,
0.06009244918823242,
0.08406393229961395,
0.4957692623138428,
-0.9126653671264648,
0.6468973159790039,
... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Example: 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3... | Berhe mengatakan pada BBC bahwa kelompok ini akan mengadakan "drama" untuk mendapatkan uang. | 1 | NIv2 | task1115_alt_ja_id_translation | fs_opt | [
-0.1583811640739441,
1.0768520832061768,
-0.6111702919006348,
0.381986141204834,
0.20914384722709656,
-0.16012287139892578,
0.048676498234272,
-0.3184807598590851,
0.024032488465309143,
-0.3975728154182434,
-0.7708867192268372,
0.5283817052841187,
-0.32027968764305115,
0.3512256443500519,
... |
Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
Q: dice ... | dice IsA game | 4 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
0.5158998966217041,
1.0435470342636108,
-0.04004018008708954,
-0.31109344959259033,
-0.2100749909877777,
-0.30439090728759766,
0.9257292151451111,
0.11923317611217499,
0.34086889028549194,
-0.73042231798172,
-0.810081422328949,
0.009476020000874996,
-0.8456518054008484,
0.14556969702243805... |
Teacher: In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input... | [['6', '5', 'V', '8', '7', 'S'], ['6', '5', 'V', '8', '7', 'Q'], ['6', '5', 'V', '8', 'S', 'Q'], ['6', '5', 'V', '7', 'S', 'Q'], ['6', '5', '8', '7', 'S', 'Q'], ['6', 'V', '8', '7', 'S', 'Q'], ['5', 'V', '8', '7', 'S', 'Q']] | 2 | NIv2 | task208_combinations_of_list | fs_opt | [
0.13969320058822632,
-0.3327367901802063,
-0.7396634221076965,
0.14881664514541626,
0.5001887679100037,
-0.7505893707275391,
0.24336692690849304,
1.0156399011611938,
-0.6008539199829102,
0.12217561900615692,
0.14170894026756287,
0.13748925924301147,
0.015348897315561771,
-0.518264234066009... |
In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_contradicts_A'. If you cann... | B_contradicts_A
****
| 4 | NIv2 | task1615_sick_tclassify_b_relation_a | fs_opt | [
-0.7790728807449341,
0.15344224870204926,
-0.25113123655319214,
0.010834703221917152,
-0.03428008779883385,
-0.5443377494812012,
0.1791435182094574,
1.0612809658050537,
0.29761677980422974,
0.0677090436220169,
-0.6581636667251587,
-0.2255564033985138,
0.4600592851638794,
-0.417963087558746... |
Instructions: Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur... | True | 3 | NIv2 | task1507_boolean_temporal_reasoning | zs_opt | [
-0.7355262041091919,
0.22107842564582825,
-0.6253990530967712,
0.7692334055900574,
-0.35851550102233887,
-0.8034884333610535,
-0.22936055064201355,
0.8319684267044067,
-0.7366346120834351,
0.062066707760095596,
-0.606602668762207,
-0.4647129774093628,
0.386811226606369,
-0.4313279092311859... |
Detailed Instructions: In this task, You are given an amazon review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False"
See one example below:
Problem: Review: These are junk! Both bulbs have burned out within a two month per... | False | 4 | NIv2 | task1313_amazonreview_polarity_classification | fs_opt | [
-0.45879852771759033,
-0.19918487966060638,
0.18170374631881714,
-0.017578110098838806,
-0.10136105865240097,
-0.8415813446044922,
0.8964723348617554,
0.7443490624427795,
0.1615084707736969,
0.43197566270828247,
-0.1773422658443451,
0.2674720287322998,
-0.299500048160553,
-0.21336519718170... |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Malayalam language. The translation must not omit or add information to the original sentence.
Problem:ഭൂമിശാസ്ത്രപരമായും സാംസ്കാരികവുമായ അതിര്വരമ്പുകളെ ഭേദിച്ചു കൊണ്ട് ജനവിഭാഗങ്ങളിലേക്ക് സന്ദേശങ്ങളെത്തിക്കുന്നതിന് സാമൂ... | સંમેલનમાં ભાગ લેનારા પ્રતિનિધિ લક્ષિત શ્રોતા સમૂહ સુધી પહોંચવા માટે સોશિયલ મીડિયાના ઉપયોગની રીત પર પણ ચર્ચા કરશે અને ભૌગોલિક તથા સાંસ્કૃતિક અડચણોની બાબતમાં સંચારની પહોંચ વધારવાની બાબતમાં પણ ચર્ચા કરશે. | 8 | NIv2 | task1042_pib_translation_malayalam_gujarati | zs_opt | [
0.1878494918346405,
0.24473842978477478,
0.20626115798950195,
-0.6185672283172607,
-0.3999300003051758,
-0.7971165776252747,
0.1254737377166748,
-0.6125450134277344,
-0.8073992729187012,
-0.13007664680480957,
-0.4164430797100067,
-0.1004272848367691,
-0.6807346343994141,
0.3247585594654083... |
TASK DEFINITION: In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
PROBLEM: هورمون پروژسترون در چه مواد غذایی یافت می شود؟ <sep> پلاکت خون در چه مواد غذایی یافت ... | not-paraphrase
| 8 | NIv2 | task465_parsinlu_qqp_classification | fs_opt | [
-0.21789954602718353,
0.22079475224018097,
-0.11441972851753235,
-0.07459499686956406,
-0.6649402379989624,
-0.18625865876674652,
1.4261400699615479,
0.2302139401435852,
0.21453633904457092,
-0.7869283556938171,
-0.8310874700546265,
-0.36768895387649536,
-0.3730815351009369,
0.247764065861... |
In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inversion" base... | Original | 0 | NIv2 | task516_senteval_conjoints_inversion | zs_opt | [
-0.3821253776550293,
1.0823166370391846,
0.48869580030441284,
-0.11103587597608566,
-0.34297996759414673,
-0.47390803694725037,
0.4573003351688385,
0.7480105757713318,
-0.03518515080213547,
-0.4120406210422516,
-0.7445530891418457,
-0.20107105374336243,
-0.9636173248291016,
-0.202166438102... |
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 th... | Output: The shoppers let loose a collective scream and ran. The Vikings, merely actors in a play, gracefully beckoned a cashier. She was happy to show them to the aisle with fruit punch and soda.
| 2 | NIv2 | task269_csrg_counterfactual_story_generation | fs_opt | [
0.6308002471923828,
0.1437585949897766,
-0.5381780862808228,
0.43942344188690186,
0.14683231711387634,
-0.990835428237915,
0.31031548976898193,
1.0295193195343018,
-0.04229452461004257,
-0.13642571866512299,
-0.3604167103767395,
0.04764417186379433,
0.06981540471315384,
0.02686659805476665... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
[EX Q]: ובקריירה הבת 20 שנה של המנתח שלי, הוא אמר שזאת הייתה ההשתלה הכי קשה שהוא ביצע אי פעם.
[EX A]: والجراح صاحب خبرة مدتها 20 عاماً قال ان عملية الزرع التي قام بها هي اصعب ما قام به على الاطلاق
[EX Q]: ואחותי הקטנה רצתה ל... | لأنهم محاطون بالكثير من المتطوعات
| 6 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-1.2456011772155762,
0.42726272344589233,
-0.000946726358961314,
-1.0000337362289429,
-0.11366286873817444,
0.05048477649688721,
0.6663451790809631,
0.3565748929977417,
1.2353442907333374,
-0.006876238621771336,
-0.5269690752029419,
0.4255252480506897,
-0.6060653328895569,
0.16776350140571... |
Detailed Instructions: In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as w... | Sad | 8 | NIv2 | task399_semeval_2018_task1_tweet_sadness_detection | zs_opt | [
-1.1744682788848877,
0.03158222511410713,
0.3062134087085724,
0.12018202245235443,
-0.1639283448457718,
-0.8743069767951965,
0.6267366409301758,
0.09045471251010895,
0.6619840264320374,
0.5672813653945923,
-0.6527552008628845,
-0.4264463782310486,
-0.3954939544200897,
0.6328847408294678,
... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Giraffes like Acacia leaves and hay, and th... | miss kennedy , please , the gun has a sensitive trigger . | 2 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
-0.3736085891723633,
0.35774296522140503,
0.44363898038864136,
-0.6797463893890381,
0.2917650640010834,
-1.3889960050582886,
0.4900033473968506,
0.5928076505661011,
-0.2966393828392029,
-0.14011722803115845,
-0.29594552516937256,
-0.35653528571128845,
-0.8071234226226807,
0.679051697254180... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular s... | holding that a plaintiff who pled in her complaint that her law firm actively misled her in support of her request for application of the discovery rule had sufficiently pled the application of the doctrine | 1 | NIv2 | task287_casehold_legal_incorrect_answer_generation | zs_opt | [
0.22124382853507996,
0.374624639749527,
0.022841794416308403,
0.6156644821166992,
0.32103967666625977,
-0.7597665190696716,
0.12479940056800842,
1.259310245513916,
-0.2227667272090912,
-0.187051922082901,
-0.5070353746414185,
-0.19023820757865906,
-0.6022189855575562,
0.1385219246149063,
... |
Q: Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
Bro suppose namma india ku china ku p... | Not Hope Speech | 7 | NIv2 | task680_hope_edi_tamil_text_classification | zs_opt | [
-0.6091019511222839,
-0.1627035140991211,
0.6342924237251282,
0.5911750197410583,
-0.006366492249071598,
-1.1495747566223145,
-0.18956278264522552,
1.1133525371551514,
-0.4866470694541931,
0.4482903480529785,
0.03347839415073395,
-0.0802001804113388,
-0.23686301708221436,
-0.84913957118988... |
Q: A text is given in Marathi. Translate it from the Marathi language to the Tamil language. The translation must not omit or add information to the original sentence.
जेव्हा भारताने आपले दरवाजे जगासाठी खुले केले आणि आपला रोख पूर्वेकडे वळवला तेव्हा सिंगापूर हा भारत आणि आसियान देशांदरम्यानचा दुवा होता.
A: | இந்தியா உலகமயமாக்கலை ஏற்றுக்கொண்டு, கிழக்குப் பகுதியில் தனது பார்வையை திருப்பிய போது, இந்தியாவுக்கும், ஆசியான் நாடுகளுக்கும் இடையே, சிங்கப்பூர் ஒரு பாலமாக மாறியது. | 7 | NIv2 | task1083_pib_translation_marathi_tamil | zs_opt | [
0.4237232506275177,
0.6162182688713074,
0.7601443529129028,
0.8533326387405396,
-0.2816603183746338,
-0.9828259944915771,
-0.3019512891769409,
0.3447578549385071,
-0.8095941543579102,
0.8289974927902222,
0.16515207290649414,
-0.08390054851770401,
-0.5903975963592529,
0.29147881269454956,
... |
instruction:
In this task, you are given a sentence in the Gujarati language and your task is to convert Gujarati sentence into the English language.
question:
આ બાથરૂમમાં એક શૌચાલય છે જે કાચની બારણું બારણું સાથે નાના વિશિષ્ટ અને ફુવારો સાથે બેસે છે.
answer:
This bathroom has a toilet that sits back in a small niche an... | An empty bench along side a trail of trees in a park with a house in the background.
| 9 | NIv2 | task439_eng_guj_parallel_corpus_gu_en_translation | fs_opt | [
-0.11100678890943527,
0.24475814402103424,
-0.3706439733505249,
-0.5156058073043823,
0.3369207978248596,
-0.9821068048477173,
0.4846486449241638,
0.028671126812696457,
-0.1889265775680542,
-0.29809701442718506,
-0.05548924207687378,
0.47898826003074646,
0.029264654964208603,
0.021864924579... |
Part 1. Definition
Indicate a text span in the passage about which an inquisitive question is asked. (note, don't answer the question).
Part 2. Example
Sentence: The Obama administration is developing additional screening protocols for airline passengers both overseas and in the United States to control infectious dise... | They expected | 7 | NIv2 | task858_inquisitive_span_detection | fs_opt | [
0.010945593938231468,
0.42611390352249146,
-0.031151164323091507,
-0.249209463596344,
0.3691219389438629,
-0.2341371327638626,
0.27700260281562805,
0.7944002151489258,
0.08408726006746292,
0.05149353668093681,
-0.6965425610542297,
0.4008692800998688,
-0.4503004848957062,
0.1387164294719696... |
Instructions: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Input: Category: REAL CASTLES & PALACES
Clue: Churchill, Stalin & FDR hung out i... | yalta | 3 | NIv2 | task306_jeopardy_answer_generation_double | zs_opt | [
-0.14349408447742462,
0.34380924701690674,
-1.1373748779296875,
0.005592699628323317,
-0.31374940276145935,
0.18727102875709534,
1.1480891704559326,
0.22147201001644135,
0.644777238368988,
-0.08554434776306152,
-0.7226074934005737,
0.29558712244033813,
-0.6949809789657593,
0.51805496215820... |
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... | Thomas hurt his finger. | 2 | NIv2 | task072_abductivenli_answer_generation | zs_opt | [
0.08731773495674133,
0.8470193147659302,
-0.33599555492401123,
-0.4762992262840271,
-0.19406455755233765,
-0.24792538583278656,
0.3812367022037506,
0.5410981178283691,
0.18752768635749817,
0.24874836206436157,
-0.7849698662757874,
0.6105666160583496,
-0.12386798113584518,
-0.08828119933605... |
TASK DEFINITION: Translation from English to Telugu.
PROBLEM: Tell me what, Baloo?
SOLUTION: నాకు ఏమి, Baloo చెప్పండి?
PROBLEM: Let me show you how it works.
SOLUTION: నాకు ఇది ఎలా పని చేస్తుందో మీరు లెట్.
PROBLEM: - ( engine starts )
SOLUTION: | - (ఇంజిన్ స్టార్ట్ అవుతుంది)
| 8 | NIv2 | task1330_open_subtitles_en_te_translation | fs_opt | [
0.804053783416748,
0.40381526947021484,
-0.40067726373672485,
0.010361145250499249,
-0.3729897737503052,
-0.08647358417510986,
1.1278040409088135,
0.4527980089187622,
-0.2674812972545624,
-0.07033431529998779,
0.10312754660844803,
-0.302079439163208,
-0.2542459964752197,
0.2106379568576812... |
A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
അദ്വിതീയമായ അളവില് വിവിധ പദ്ധതികള്ക്കും സംരംഭങ്ങള്ക്കുമായി ഗവണ്മെന്റ് പ്രവര്ത്തിച്ചു.
अनेक कार्यक्रमों और पहलों में सरकार ने अप्रत्याशित स्तर पर कार्... | जम्मू-कश्मीर की पंचायतों के 48 नव-निर्वाचित सरपंचों ने आज नई दिल्ली में प्रधानमंत्री से मुलाकात की।
| 0 | NIv2 | task1018_pib_translation_malayalam_hindi | fs_opt | [
0.2731795608997345,
0.29498526453971863,
-0.10943491756916046,
-0.9047606587409973,
-0.16692236065864563,
-0.32613521814346313,
0.13402554392814636,
0.1541471928358078,
-0.37348660826683044,
-0.16738447546958923,
-0.5426588654518127,
0.17527659237384796,
-0.14077028632164001,
0.52225595712... |
TASK DEFINITION: Given a sentence in the Sinhala language, translate it into the English language.
PROBLEM: සාමාන් ය රිද්මයානුකූල හෘත් ස්පන්දනය කෝඨරක රිද්මය ලෙස හඳුන්වන අතර, එය ස්ථාපනය කරන්නේ ගතිකරය ලෙස ක් රියාකරන සයිනො - හෘත්කර්ණික ගැටය මගිනි.
SOLUTION: A common rhythmic heartbeat is called the sinus rhythm, and i... | The Black slave market was supplied by well - established slave trade networks controlled by local African societies and individuals.
| 8 | NIv2 | task601_flores_translation_sntoen | fs_opt | [
0.003313008463010192,
0.19173221290111542,
-0.07012461125850677,
-0.7950690984725952,
0.18726226687431335,
-0.13901539146900177,
0.39717617630958557,
0.4994434714317322,
-0.35569465160369873,
0.6569231748580933,
0.3370572626590729,
0.1447821706533432,
-1.0877686738967896,
0.080874882638454... |
Definition: 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.
Input: Context: This is a ... | whose articles does josh sternberg like to tweet about? | 2 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-1.2206754684448242,
0.6908423900604248,
-0.028574327006936073,
-0.2198057770729065,
-0.38337674736976624,
-0.2425534427165985,
0.6122649908065796,
-0.011273965239524841,
0.2899129390716553,
-0.6217421293258667,
-0.40015852451324463,
0.8077824115753174,
-0.4755188822746277,
0.2779042124748... |
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're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming yo... | b | 0 | NIv2 | task233_iirc_link_exists_classification | fs_opt | [
0.5543373823165894,
0.17596229910850525,
-0.4150674045085907,
-0.4096050262451172,
0.5795392990112305,
-0.40124303102493286,
0.8395724296569824,
1.057190179824829,
0.23788315057754517,
0.14243699610233307,
-0.07324820756912231,
0.23889057338237762,
-0.13817551732063293,
0.16190294921398163... |
Given the task definition, example input & output, solve the new input case.
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: what kind of film is Best Seller?
Output: crime
The an... | 2001 | 1 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.7947744131088257,
-0.06661826372146606,
-0.990979790687561,
1.1983716487884521,
0.17491993308067322,
0.6180634498596191,
0.397952675819397,
0.4274842441082001,
0.242765411734581,
0.14513447880744934,
-0.2677288055419922,
-0.32979530096054077,
-0.33182036876678467,
0.05948062241077423,
... |
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
Example: Jag förklarar debatten avslutad.
Example solutio... | Solution: Swedish | 5 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
-0.20548424124717712,
0.76950603723526,
0.6488731503486633,
-0.3785615563392639,
0.030995380133390427,
-0.524196982383728,
0.7667354345321655,
0.4326704144477844,
0.7790515422821045,
0.3598214089870453,
0.04884020984172821,
0.38295549154281616,
-0.09341484308242798,
-0.17946761846542358,
... |
Definition: In this task, you are given a post in Spanish 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 b... | Non-hateful | 2 | NIv2 | task334_hateeval_classification_hate_es | zs_opt | [
-0.300173282623291,
0.4602808952331543,
0.3747013807296753,
0.4534541964530945,
-0.08142208307981491,
-0.10768354684114456,
0.8915092945098877,
1.4307334423065186,
0.2799031436443329,
0.3759283125400543,
0.10041530430316925,
0.5545176267623901,
-0.3485054075717926,
-0.3740139305591583,
-... |
Detailed Instructions: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Q: The species name Fagus as in Fagus Sylvatica and Fagus Purpurea has the common English name for which tree ?
A: | beech | 9 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
-0.10357783734798431,
0.673258364200592,
-0.15349122881889343,
-1.057669997215271,
-0.8531502485275269,
-1.6355657577514648,
1.2885231971740723,
-0.23393234610557556,
-0.11184292286634445,
0.3700771927833557,
-0.5817140936851501,
0.11840744316577911,
-0.5673975944519043,
0.2198532819747924... |
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
Example input: ఆయన తీసుకొన్న చొరవ తో అగర్తలా లో ఒక విమానాశ్రయాన్ని నిర్మించడం జరిగింది
Example output: ஒரு விமான நிலையம் அகர்தலாவில் அவரது முன்முயற்ச... | நரேந்திர மோடி தலைமையில் தில்லியில் இன்று நடைபெற்ற மத்திய அமைச்சரவைக் கூட்டத்தில் வேளாண் மற்றும் அதனைச் சார்ந்த துறைகளில் இந்தியா மற்றும் உஸ்பெகிஸ்தான் இடையே கூட்டு ஒத்துழைப்புக்கான ஒப்பந்தத்தில் கையெழுத்திடுவதற்கு ஒப்புதல் அளித்தது. | 3 | NIv2 | task1076_pib_translation_telugu_tamil | fs_opt | [
0.1774894893169403,
0.9057838320732117,
-0.013973608613014221,
0.21912217140197754,
0.6351921558380127,
-0.3744826316833496,
0.049228742718696594,
0.5376379489898682,
-0.8122985363006592,
0.409199595451355,
-0.21689823269844055,
0.4772634506225586,
0.03579335659742355,
0.113896444439888,
... |
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
Example Input: Who was the king of... | seven seasons
| 3 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
-0.06421395391225815,
0.4683646559715271,
-0.13200172781944275,
-0.710915744304657,
-0.4080272614955902,
-0.25527065992355347,
0.8408703804016113,
0.33307164907455444,
-0.4129846692085266,
-0.3529471457004547,
-1.1410284042358398,
0.29019516706466675,
-0.6355517506599426,
-0.59296077489852... |
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , a... | Date.
| 0 | NIv2 | task046_miscellaneous_question_typing | fs_opt | [
0.6390992403030396,
0.02440902590751648,
-0.17112743854522705,
0.5162801742553711,
-0.2422471046447754,
-1.0766757726669312,
0.9451991319656372,
0.8187881708145142,
-0.6762452721595764,
-0.21121853590011597,
-0.5035396814346313,
0.4364642798900604,
-0.6270014047622681,
-0.03583107888698578... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwi... | Yes
| 6 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt | [
-0.262583464384079,
0.23231419920921326,
0.2587701380252838,
-0.6539994478225708,
-0.2505488693714142,
-0.4162363111972809,
0.9045592546463013,
1.2412209510803223,
-0.26773762702941895,
-0.06997490674257278,
-0.32729455828666687,
-0.12256690859794617,
-0.39020630717277527,
0.21809443831443... |
Detailed Instructions: In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Q: Astrophysicists know that _ times as much dark matter exists in the universe.
A: | eight | 9 | NIv2 | task672_nummersense | zs_opt | [
0.040723562240600586,
0.6142864227294922,
0.7256069183349609,
-0.6990089416503906,
-0.6048033237457275,
0.4233684539794922,
0.3945562243461609,
0.21249748766422272,
0.5214705467224121,
-0.4021448493003845,
-0.38019561767578125,
-0.4533931612968445,
-0.22875651717185974,
0.21320216357707977... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
Q: ['L', '7609', '3939', 'U', '6137', 'd', '4657', '4667', 'p', 'B']
A: | 5 | 4 | NIv2 | task505_count_all_numerical_elements_in_list | zs_opt | [
-0.8262966871261597,
0.6467904448509216,
-0.23898053169250488,
-0.9123977422714233,
-0.32328328490257263,
0.35350868105888367,
0.6946168541908264,
-0.18935799598693848,
-0.7320696115493774,
-0.05823284015059471,
-0.8421157598495483,
0.7381381392478943,
0.48607906699180603,
0.24718865752220... |
Detailed 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.
Q: 2 medium tomatoes, 1 red bell pepper, 1 green bell pepper, 1 1/2 cups fresh or frozen corn kernels (3 ears fresh corn), 1/4 cup fin... | tomatoes, red bell pepper, green bell pepper, corn, purple onion, serrano chile pepper, black beans, lime juice, olive oil, fresh cilantro, salt, ground cumin, ground red pepper | 9 | NIv2 | task570_recipe_nlg_ner_generation | zs_opt | [
-0.31110456585884094,
0.3391585052013397,
0.13161081075668335,
0.5119773149490356,
-0.3623298108577728,
-0.3786143958568573,
0.6155635118484497,
1.154578447341919,
-0.6777116656303406,
-0.00707416795194149,
0.2748590111732483,
0.28134721517562866,
-0.598737359046936,
-0.3314577341079712,
... |
Teacher: 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.
Teacher... | occurs | 2 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
-0.09466821700334549,
0.6871764659881592,
-0.00004417507443577051,
-0.5334658622741699,
-0.13360705971717834,
-0.8445218801498413,
-0.019757352769374847,
0.8129860162734985,
-0.13576731085777283,
-0.3033861815929413,
-0.9323447942733765,
-0.9497302770614624,
-0.5707823038101196,
0.00515518... |
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
Q: W: Hi, Michael. I'm awfully sorry for having kept ... | He is asleep.
****
| 4 | NIv2 | task283_dream_incorrect_answer_generation | fs_opt | [
-0.15339216589927673,
0.3704211711883545,
-0.2783903479576111,
-0.7782382965087891,
0.7045314311981201,
-0.4609788954257965,
0.600250244140625,
0.722923755645752,
-0.12284140288829803,
-0.2285812497138977,
-0.4385591447353363,
0.3471745252609253,
0.08673594892024994,
0.2980746626853943,
... |
Q: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Comment: They had a name for the custodian of obfuscated and social... | Non-sexual-explicit | 7 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-0.9086771011352539,
-0.008273283019661903,
0.3345678448677063,
-0.045208461582660675,
0.13241681456565857,
-0.029545588418841362,
0.14082539081573486,
0.5823310613632202,
-0.13809216022491455,
0.7722432613372803,
0.24968917667865753,
-0.13268440961837769,
-0.2711189389228821,
-0.888299822... |
Part 1. Definition
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets su... | Against | 7 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
-0.11541759967803955,
0.42194560170173645,
0.2170374095439911,
0.3088664412498474,
-0.40504464507102966,
-0.6429880857467651,
0.4683641791343689,
0.6573603749275208,
0.3047335743904114,
0.4335438907146454,
-0.6361156105995178,
-0.2702670395374298,
-0.1260427087545395,
-0.47738897800445557,... |
Given a sentence and a label in Croatian, select the correct answer. There are 2 choices given, out of which only one is correct for a given statement and label. The label of the task is either 'cause' or 'effect'. The output will be the choice which matches the label with the given statement. If the label is 'cause', ... | Output: Propustio sam doručak.
| 2 | NIv2 | task1626_copa_hr_question_answering | fs_opt | [
0.10319952666759491,
0.3601325750350952,
-0.6184554100036621,
0.30004143714904785,
-0.7395716309547424,
-1.2206838130950928,
0.10721144080162048,
0.33572888374328613,
0.02817029133439064,
-0.3237428665161133,
-0.4416426718235016,
0.7067291736602783,
-0.8912309408187866,
-0.1638512909412384... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Example input: [[5, 1, 2, 7], [0, 4, 6, 6], [7, 8... | [-14950, 1702, 16687] | 3 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
-0.10097035020589828,
0.500602126121521,
-0.42807573080062866,
-0.012826002202928066,
0.1750979870557785,
-0.09053061902523041,
0.8441194295883179,
0.258807510137558,
-0.3900880813598633,
0.26747775077819824,
-0.5716881155967712,
-0.24630266427993774,
-0.4315992295742035,
-0.50670713186264... |
Definition: You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not i... | 10, 13. | 2 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
0.10506033897399902,
0.3704416751861572,
-0.6367868781089783,
-0.8291667699813843,
0.718895435333252,
-0.12459923326969147,
0.2169879674911499,
0.6122376322746277,
-0.44154825806617737,
0.28500449657440186,
-0.9562481641769409,
0.7950736284255981,
-0.35692620277404785,
-0.03782520443201065... |
This task is about translating a given French language sentence to English.
One example: Vous avez fait quelque chose de tellement bien aujourd'hui ! Pourquoi vous m'évitez ?
Solution is here: You did such a great thing today, why are you avoiding me?
Explanation: This is a good example because the French sentence has ... | We see it as terrorism versus democracy in that brand war. | 6 | NIv2 | task1690_qed_amara_translation | fs_opt | [
-0.30375590920448303,
1.1966562271118164,
0.7061711549758911,
-0.4085314869880676,
0.18133831024169922,
-0.8906315565109253,
0.02284526824951172,
0.16042335331439972,
0.5196813344955444,
0.015935663133859634,
-0.46620631217956543,
0.1834118366241455,
-0.8466863036155701,
-0.425864666700363... |
Teacher:In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Teacher: Now, understand the problem? ... | Strada is located near Yippee Noodle Bar. It's a high rated pub serving Chinese food. | 6 | NIv2 | task957_e2e_nlg_text_generation_generate | zs_opt | [
-0.8787962198257446,
0.24325889348983765,
-0.05553722009062767,
-0.5719119310379028,
-0.13149765133857727,
-0.027593374252319336,
0.06466598063707352,
0.3227524757385254,
0.5061780214309692,
-0.0893598422408104,
0.8363790512084961,
-0.3551351726055145,
-0.9125623106956482,
-0.1555866003036... |
Given the task definition and input, reply with output. 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, locat... | boxing terminology | 5 | NIv2 | task143_odd-man-out_classification_generate_category | zs_opt | [
0.20871078968048096,
0.2695043385028839,
-0.535380482673645,
0.013987448997795582,
0.18255852162837982,
0.16005703806877136,
-0.4207601845264435,
0.3094899654388428,
0.22132796049118042,
-0.2318127155303955,
-0.4009115695953369,
-0.00893884152173996,
-0.314142107963562,
-0.3062271773815155... |
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. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
--------
Question: New York (CNN) The Turkis... | (C)
| 7 | NIv2 | task302_record_classification | fs_opt | [
0.12197384238243103,
0.5181065797805786,
-0.11533109843730927,
-0.2567859888076782,
0.8124498128890991,
0.27197501063346863,
0.8029308319091797,
0.6995382308959961,
-0.1921779215335846,
0.4942537546157837,
-0.18515577912330627,
0.9644579887390137,
-1.1598262786865234,
0.16846910119056702,
... |
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.
One example: This is my go to place to get the best chicken Pad Thai! Also the price is super good, considering... | POSITIVE | 6 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-0.9904226064682007,
-0.06363241374492645,
0.07055585831403732,
0.05293431878089905,
0.45770424604415894,
-0.3815484941005707,
0.6970395445823669,
0.7024698853492737,
-0.08637560904026031,
0.07203370332717896,
0.16259637475013733,
0.008583861403167248,
-0.15926823019981384,
0.1066962108016... |
In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate... | B | 8 | NIv2 | task611_mutual_multi_turn_dialogue | fs_opt | [
0.2433040738105774,
0.17418982088565826,
-0.41701918840408325,
0.24420076608657837,
0.6492649912834167,
0.13056273758411407,
0.8731899261474609,
1.0041563510894775,
-0.2069714069366455,
0.08880766481161118,
-0.3101893365383148,
0.34065914154052734,
-0.34823328256607056,
-0.0399211421608924... |
Q: In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Gujarati: રેસ ટ્રેક નીચે મોટર ચક્રને સવારી કરતી વ્યક્તિ.
English: A person riding a ... | Yes | 7 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-1.1438238620758057,
-0.0124916210770607,
0.8098090887069702,
0.35771918296813965,
-0.11059586703777313,
-0.2667928636074066,
0.09967182576656342,
0.04372023791074753,
0.10639654099941254,
-0.5937672853469849,
-1.245069980621338,
0.21565529704093933,
-0.2972099781036377,
0.4813318252563476... |
Definition: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the su... | A woman brushes her teeth | 2 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | zs_opt | [
-0.9982768297195435,
0.2978645861148834,
0.30763667821884155,
-0.412008672952652,
0.2562726140022278,
-0.15808457136154175,
-0.44551730155944824,
0.6517937779426575,
0.5094054937362671,
-0.5665158629417419,
-1.010941743850708,
-0.9090576171875,
-0.16877669095993042,
-0.01201111264526844,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.