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 |
|---|---|---|---|---|---|---|
Teacher:Given a sentence in Italian, generate a new Italian 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... | Uno scherzo pratico e' uno scherzo che si gioca su qualcuno. | 6 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
-0.181456059217453,
0.8547718524932861,
-0.2016485035419464,
-0.36975884437561035,
-0.39024123549461365,
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0.7917743921279907,
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0.42104342579841614,
-0.5616180896759033,
-0.1245628744363784... |
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... | Solution: Betty placed the flowers in a vase and was excited to see them displayed. They were beautiful flowers but smelled sickeningly sweet. Betty couldn't tolerate the smell and had to toss the flowers outside. | 5 | NIv2 | task269_csrg_counterfactual_story_generation | fs_opt | [
0.523296058177948,
0.18360348045825958,
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0.6926292181015015,
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-0.00670995470136404,
0.454792559146881... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
La microfluidica può sostituire un intero laboratorio di tecnici.
Output: | Mikrofluidyki mogą zastąpić całe laboratorium techników. | 1 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
-0.7568573951721191,
0.8554273843765259,
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-0.3756268322467804,
-0.1742832213640213,
-0.06544875353574753,
0.3840284347534... |
In this task, you need to count the occurrences of the given word in the given sentence.
--------
Question: Sentence: 'a man riding a long surfboard on a wave'. Count the occurrences of the word 'a' in the given sentence.
Answer: 3
Question: Sentence: 'a small girl in a black top is at a blue table and is eating'. C... | 2
| 7 | NIv2 | task158_count_frequency_of_words | fs_opt | [
0.5026304721832275,
0.7357471585273743,
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-1.4703028202056885,
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0.3814265727996826,
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0.2526823878288269,
0... |
Teacher:In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Teacher: Now, understand the problem? Solve this instance: Un jucător de fotbal șutează mingea în poartă de la distanță.
Student: | A soccer player is kicking the soccer ball into the goal from a long way down the field. | 6 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
0.1348791867494583,
0.9644628763198853,
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... |
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
Input: 必要なのは使われている言語の ― 良いモデルですつまり構成が整った文書の ― 良いモデルがあればよいのです
Output: | Se tiverem um modelo muito bom de uma linguagem que é usada, se tiverem um modelo muito bom de um documento, de quão bem eles estão estruturados. | 2 | NIv2 | task1099_ted_translation_ja_pt | zs_opt | [
0.40765008330345154,
-0.3489558696746826,
-0.43127205967903137,
-0.058285221457481384,
0.19829793274402618,
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-0.620712399482727,
-1.1177195310592651,
-0.3238591253757477,
-0.15371274948120117,
0.305005311... |
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 and how they appear in th... | If an image contains at least one blackish newborn rodent.
| 3 | NIv2 | task184_break_generate_question | fs_opt | [
0.7600045204162598,
-0.10773374140262604,
-0.6868850588798523,
0.4523978531360626,
0.5537682175636292,
-0.06529837101697922,
1.0333902835845947,
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-0.6734957695007324,
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-0.5432758331298828,
0.5879969596862793,
0.03758617863059044,
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0.... |
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 event. You ... | Yes | 3 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.5489434003829956,
0.3107304573059082,
0.05079534277319908,
-0.34046751260757446,
-0.6712634563446045,
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1.615689754486084,
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-0.4183129370212555,
-0.3640897274017334,
-0.8411446809768677,
0.05288412794470787,... |
Teacher:In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
Teacher: Now, understand the problem? Solve this instance: Seeds can be dispersed through all sorts of creative ways, such as (A) a person orders flowers fro... | C | 6 | NIv2 | task1286_openbookqa_question_answering | zs_opt | [
-0.2227504551410675,
0.17512701451778412,
-0.20404848456382751,
-0.45384645462036133,
-0.13538870215415955,
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-0.08892596513032913,
-0.153617158532... |
Definition: You are given a question title. 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 - 'Family & Relationships', 9... | 6 | 2 | NIv2 | task1592_yahoo_answers_topics_classfication | zs_opt | [
-0.1500226855278015,
0.47772860527038574,
0.17232565581798553,
-0.06552651524543762,
0.11529573798179626,
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0.24845509231090546,
-0.387843519449234,
-0.90406924486... |
Detailed Instructions: In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the... | customer: My return flight time should be in the evening. | 8 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
-0.10834338515996933,
0.2849411964416504,
-1.0028069019317627,
-0.8819727897644043,
0.4781029224395752,
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0.7397428154945374,
-0.0421149767935276,
0.07496648281812668,
0.47485601902008057,
0.31674933433532715,
-0.13365602493286133,
-0.5883320569992065,
0.3941378295421600... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: પ્રધાનમંત્રી અમૃત યોજના હેઠળ ધૂળે સિટી વોટર સપ્લાય સ્કીમનું શિલારોપણ કરશે.
Student... | അമൃത് പദ്ധതിക്ക് കീഴില് ധുലേ നഗര ജലവിതരണ പദ്ധതിക്കും പ്രധാനമന്ത്രി തറക്കല്ലിടും. | 6 | NIv2 | task1041_pib_translation_gujarati_malayalam | zs_opt | [
-0.6094754934310913,
0.5779858231544495,
0.3489667773246765,
-1.5404078960418701,
-0.26882869005203247,
-0.7864418029785156,
-0.07697679847478867,
0.23900620639324188,
-0.7335739731788635,
-0.2731390595436096,
0.08950746059417725,
-0.30825525522232056,
-0.7448264360427856,
-0.3399504423141... |
You will be given a definition of a task first, then some input of the task.
Given a paragraph about movies, and a set of conversational question answers about the paragraph, generate a relevant question to the topic of the paragraph. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:`... | Do they address why he has a notebook? | 1 | NIv2 | task1440_doqa_movies_question_generation | zs_opt | [
0.20700839161872864,
0.1306624412536621,
0.21420389413833618,
-0.33162397146224976,
-0.10240441560745239,
-0.659213662147522,
1.036078929901123,
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0.417091429233551,
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-0.216154545545578,
-0.5131667256355286,
-1.2110493183135986,
0.16685046255588531,
... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
I understand the world best, most fully, in words rather than, say, pictures or numbers, and when I have a new experience or a new feeling, I'm a little frustrated until I can try to put it into words. | Riesco a comprendere il mondo meglio e più pienamente attraverso le parole piuttosto che attraverso le immagini o i numeri, e quando provo qualcosa di nuovo, che sia un'esperienza o un sentimento mi sento frustrato finché non riesco a trasporlo in parole. | 0 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
0.02811078354716301,
0.5186466574668884,
0.03752069175243378,
0.16385826468467712,
0.2334296554327011,
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-0.03153247386217117,
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-0.3147420883178711,
-0.03951893001794815,
-0.7990255355834961,
0.7094758749008179,... |
Teacher:In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Teacher: Now, under... | 2375 | 6 | NIv2 | task086_translated_symbol_arithmetic | zs_opt | [
-0.4255821108818054,
0.6510282754898071,
-0.07612808793783188,
-0.4618302583694458,
-0.5237821936607361,
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0.22097590565681458,
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-0.42464298009872437,
-0.7441624402999878,
-0.7561182975769043,
-0.2616751194000244,
0.38242420554161... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Example input: Comment: Enough already. Cut the... | Threat | 3 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.5393116474151611,
0.5046943426132202,
0.5945249199867249,
0.24797792732715607,
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0.18683628737926483,
0.284396767616272,
-1.0046741962432861,
-0.4859127104282379,
... |
You will be given a definition of a task first, then some input of the task.
In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity i... | not | 1 | NIv2 | task386_semeval_2018_task3_irony_detection | zs_opt | [
-1.4463170766830444,
0.319927453994751,
0.8140124082565308,
0.3175047039985657,
0.21330365538597107,
0.007838714867830276,
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-0.3682625889778137,
-0.527033805847168,
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... |
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 ... | i 've always been afraid to let someone in . | 1 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
-0.5355097651481628,
0.9694210886955261,
0.35847702622413635,
0.29717856645584106,
-0.01933007314801216,
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0.6497136354446411,
0.725584089756012,
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-0.24286937713623047,
-0.3719789385795593,
-0.3319316506385803,
0.3514710664749145... |
Part 1. Definition
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited whe... | „Osim prekrasne glazbe, odlično je znati da sam dio međunarodne zajednice ljudi koje nikad nisam upoznao, ali koji su opet povezani.“ | 7 | NIv2 | task1365_opustedtalks_translation | fs_opt | [
-0.2737887501716614,
0.6307054758071899,
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0.5797727108001709,
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-0.38187599182128906,
0.45270878076553345,
-0.06768311560153961,
-0.0289194323122... |
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second enti... | no | 0 | NIv2 | task472_haspart_classification | zs_opt | [
-0.706650972366333,
0.5591281056404114,
0.5320112705230713,
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-0.14972056448459625,
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0.1855448633432388... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
אבל אתם צריכים שיהיה לכם מכשיר למעלה בתוך העצים.
Output: | Ale trzeba umieścić urządzenia na drzewach. | 1 | NIv2 | task1112_ted_translation_he_pl | zs_opt | [
-0.6815504431724548,
0.6891741156578064,
-0.28055328130722046,
0.04998967796564102,
-0.21801263093948364,
0.2661380171775818,
1.3760042190551758,
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0.3702790439128876,
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-0.5849183201789856,
0.003320617601275444,
-0.3534712791442871,
0.4361608028411865... |
Given a scientific passage and an answer, generate a question for the given answer.
Ex Input:
Passage: A snowflake is made of ice, or water in the solid state. A solid is one of four well-known states of matter. The other three states are liquid, gas, and plasma. Compared with these other states of matter, solids have... | Which theory explains how materials can collide and become new materials?
| 1 | NIv2 | task594_sciq_question_generation | fs_opt | [
0.7943663001060486,
1.0153180360794067,
-0.21511508524417877,
-0.43743059039115906,
0.7325601577758789,
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-0.14732611179351807,
1.1231828927993774,
0.5790550112724304,
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0.22690919041633606,
-0.1281873881816864,
-0.7039554119110107,
-0.1447870880365371... |
In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements that are commo... | No
| 0 | NIv2 | task245_check_presence_in_set_intersection | fs_opt | [
0.7049018740653992,
-0.09465847909450531,
-0.7527344822883606,
0.2044546902179718,
0.04671312868595123,
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0.7519397735595703,
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0.2704724073410034,
0.011207446455955505,
0.10558947920799255... |
In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
Q: This will be sent to you after the Initial Consideration U... | English | 4 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
-0.33906012773513794,
0.1687382608652115,
0.8052794337272644,
0.314079225063324,
0.3486824631690979,
-0.4757843017578125,
0.2790837287902832,
0.5186121463775635,
0.1774607002735138,
-0.5149392485618591,
-0.2472504824399948,
-0.1807779222726822,
0.05719496309757233,
-0.1537589728832245,
-... |
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Example: you have encouraged me thank you for sharing
Example solution: Hope Speech
Example explanation: The given... | Solution: Not Hope Speech | 5 | NIv2 | task679_hope_edi_english_text_classification | fs_opt | [
-0.34887945652008057,
-0.16595503687858582,
-0.0025599526707082987,
0.11253736913204193,
-0.21559274196624756,
-1.1293108463287354,
0.08651911467313766,
0.6368465423583984,
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0.06723713874816895,
-0.299964964389801,
-0.08346010744571686,
-0.4702966809272766,
-0.086962513... |
Teacher: 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.
Teacher: Now, understand the problem? If ... | [5292, 0, -66787, -27394560, -12004200, -972, 532, 264, 1733760, -1010880] | 2 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.5926542282104492,
-0.1315302848815918,
-0.8526812791824341,
-0.5792745351791382,
0.4493754208087921,
-0.39411288499832153,
1.127338171005249,
1.1960538625717163,
-0.5644628405570984,
-0.060085345059633255,
-0.6623136401176453,
0.02074580267071724,
-0.6680371761322021,
-0.3071559369564056... |
TASK DEFINITION: In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
PROBLEM: Mix all your ingredients together and form them into patties. Place your burgers either on the grill or in a la... | unsalted butter, sugar, eggs, flour, baking soda, stalks celery, pistachios, raisins, orange with, star anise ground, cinnamon, nutmeg
| 8 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.6377300024032593,
-0.04907434806227684,
-0.3971748948097229,
0.9168573617935181,
-0.2646976709365845,
0.21956944465637207,
0.9453195333480835,
0.5250334739685059,
-0.2279418408870697,
0.22942617535591125,
-0.09145233035087585,
-0.04862075299024582,
0.039418790489435196,
-0.18914853036403... |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct sub... | False | 8 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.3713299632072449,
0.3100096583366394,
-0.1694086492061615,
0.036751557141542435,
-0.737899661064148,
-0.7636419534683228,
0.795893132686615,
0.148334339261055,
0.05032314732670784,
0.24676065146923065,
-0.5338746905326843,
-0.3502657413482666,
-0.33529335260391235,
0.06525599956512451,
... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Q: (Aplausos) Incluso pegamos nas torres militares israelís e non pasou nada.
A: | (Brawa) Okleiliśmy nawet izraelską wieżę wojskową, i nic się nie stało. | 9 | NIv2 | task1244_ted_translation_gl_pl | zs_opt | [
0.25637033581733704,
1.462590217590332,
-0.19983917474746704,
-0.34313058853149414,
0.10510055720806122,
-1.153369426727295,
1.2582814693450928,
-0.6306642293930054,
0.07107189297676086,
0.4285011291503906,
-0.47747522592544556,
0.26650282740592957,
-0.8355197906494141,
0.03050155378878116... |
Detailed Instructions: Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearran... | What is so small it can be seen only with an electron microscope? | 9 | NIv2 | task040_qasc_question_generation | zs_opt | [
0.21840251982212067,
1.3781551122665405,
0.03582628816366196,
-0.475523442029953,
-0.7267184257507324,
-0.6034436225891113,
0.9043354392051697,
0.8717156052589417,
0.23557966947555542,
-0.19527971744537354,
-1.005481481552124,
0.3818580210208893,
-0.3659147024154663,
0.20148184895515442,
... |
Teacher: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, pa... | REFERENCE snack | 6 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
0.4686400890350342,
0.8030802011489868,
0.018906110897660255,
-0.008282424882054329,
-0.46174120903015137,
-1.019087553024292,
0.7376422882080078,
0.8935561180114746,
0.2358713448047638,
-0.16694855690002441,
-0.28494131565093994,
0.5934697389602661,
-0.41788744926452637,
-0.10001165419816... |
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 labeled as... | Hateful | 9 | NIv2 | task333_hateeval_classification_hate_en | fs_opt | [
-0.2525680363178253,
-0.11549606919288635,
0.5865522027015686,
0.6670761108398438,
0.12099478393793106,
-1.0290852785110474,
0.7781294584274292,
1.042600393295288,
0.23827089369297028,
0.5805778503417969,
0.15958471596240997,
-0.004631883464753628,
-0.46722880005836487,
-0.7526493668556213... |
Detailed Instructions: 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.
... | [2, 418, 100, 41, 51, 358] | 8 | NIv2 | task206_collatz_conjecture | zs_opt | [
-0.345131516456604,
0.6220569610595703,
-0.039397262036800385,
-0.6667215824127197,
-0.13113680481910706,
-0.2808816134929657,
1.6080067157745361,
-0.19241294264793396,
-0.16646142303943634,
0.41636574268341064,
-0.6424286365509033,
-0.38477814197540283,
-0.3584447503089905,
-0.27263665199... |
Instructions: A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
Input: দেশের উত্তরপূর্ব রাজ্যগুলির মধ্যে অভ্যন্তরীণ জলপথে পণ্য এবং যাত্রী পরিবহনে উদ্যোগী কেন্দ্রীয় জাহাজ মন্ত্রক।
Output: | سستی فیری سروسز کے لئے ماڈل ڈی پی آر تیار کیا جارہا ہے | 3 | NIv2 | task1069_pib_translation_bengali_urdu | zs_opt | [
-0.6684206128120422,
0.199085533618927,
-0.6647504568099976,
-1.079545021057129,
-0.22369632124900818,
0.3741443157196045,
-0.11402864754199982,
-0.35401684045791626,
-0.9469751715660095,
-0.04839034378528595,
-0.5095759630203247,
-0.9338869452476501,
0.0636366456747055,
0.6278635263442993... |
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.
One example is below.
Q: മാനവികത ഒരുമിച്ചു ചേരുമ്പോള് അദ്ഭുതങ്ങള് സംഭവിക്കുന്നു എന്നാണിത് കാണിക്കുന്നത്
A: इससे पता चलता है कि मानवता एक साथ होती है
Rati... | मैं आपका ग्लोबल कांफ्रेंस ऑन साइबर स्पेस के लिए नई दिल्ली में स्वागत करता हूं। | 9 | NIv2 | task1018_pib_translation_malayalam_hindi | fs_opt | [
-0.21453127264976501,
0.529245138168335,
0.003822167171165347,
0.01979690045118332,
-0.4338650405406952,
-1.2505470514297485,
0.016343027353286743,
-0.0630909651517868,
-0.10275468230247498,
-0.22041407227516174,
-0.824920654296875,
0.15643079578876495,
-0.35723358392715454,
0.334435582160... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications ... | Solution: ordinal | 5 | NIv2 | task212_logic2text_classification | fs_opt | [
0.256599485874176,
-0.3201134204864502,
-0.3331003189086914,
0.3166149854660034,
0.4271775186061859,
-0.5034394264221191,
0.7743051052093506,
0.7091779112815857,
0.3361016511917114,
0.0099705271422863,
-0.11250324547290802,
0.10916873067617416,
0.02447483316063881,
0.4094664454460144,
-0... |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
--------
Question: English sentence: 14 Let now our rulers of all the congregation stand, and let all them which have taken strange wives in our cities come at appointed times, and with them... | Nzọụkwụ #5: Wepụta oge na onye gị na Ịchụ oge na-emefu ọnụ dị oké mkpa na-eto eto dị ka di na nwunye.
| 7 | NIv2 | task452_opus_paracrawl_en_ig_translation | fs_opt | [
0.06519900262355804,
0.6168442964553833,
-0.30777615308761597,
0.6802704930305481,
-0.1674303412437439,
-0.7779614329338074,
0.7515407204627991,
0.6178244352340698,
0.38965868949890137,
0.1577598601579666,
-0.4646265506744385,
0.8668234944343567,
-0.6858949065208435,
0.24815502762794495,
... |
Detailed Instructions: In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
See one example below:
Problem: For many Brazilians, Michel Temer... | Coronavirus: Lockdown walk inspired social distancing game | 4 | NIv2 | task1358_xlsum_title_generation | fs_opt | [
-0.5133233666419983,
0.9682742953300476,
-0.3564716577529907,
-0.39538371562957764,
-0.5316111445426941,
-0.107137531042099,
0.07748851180076599,
0.6542218327522278,
0.08200591802597046,
0.4852110743522644,
-0.6303728222846985,
0.5961959362030029,
-0.7318676710128784,
-0.19484570622444153,... |
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.
モルドヴァのルーマニア大使館内にいる2人の外交官は、彼らの活動と持っている外交的地位が合っていない為、好ましくない人物と宣言された。
2 diplomat di dalam Kedutaan Romania untuk Moldova telah mengumumkan p... | ADQ menang di semua kursi yang mereka butuhkan untuk mendapatkan status partai resmi.
| 0 | NIv2 | task1115_alt_ja_id_translation | fs_opt | [
0.17879725992679596,
0.1691371202468872,
-0.2055514007806778,
-0.3937969207763672,
-0.13440415263175964,
-0.3088148832321167,
0.49018800258636475,
0.0004718056879937649,
0.22975769639015198,
-0.3008573353290558,
-0.19767041504383087,
0.4584246873855591,
-1.0649254322052002,
0.4207254946231... |
Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using words (e.g., sug... | no | 4 | NIv2 | task115_help_advice_classification | zs_opt | [
0.06694038957357407,
0.7593637108802795,
0.10981202870607376,
-0.3702165186405182,
0.09435497224330902,
-0.9570088386535645,
0.9418234825134277,
0.6947411298751831,
0.4024399518966675,
-0.013425637036561966,
-0.5998227596282959,
-0.6275208592414856,
-1.0296289920806885,
-0.1000718250870704... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Problem:Comment: Q: Palin... | Non-threat | 8 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.5316569805145264,
0.6809064149856567,
0.7220709919929504,
0.2953239679336548,
0.15866027772426605,
-0.1282639503479004,
1.2227990627288818,
0.943181574344635,
0.38251549005508423,
0.3874408006668091,
0.5141737461090088,
-0.05296790227293968,
-0.44895225763320923,
-0.29615965485572815,
... |
Detailed Instructions: Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In y... | The dog died long ago. | 9 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
-0.4295746684074402,
0.5009310841560364,
-0.17367887496948242,
0.44208985567092896,
-0.10225864499807358,
-0.916326105594635,
0.6346771717071533,
0.4732714295387268,
-0.14436744153499603,
-0.2913426160812378,
-0.4215254783630371,
0.5746846199035645,
-0.6722164154052734,
0.23165801167488098... |
Detailed Instructions: In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
See one example below:
Problem: A lion has _ legs.
Solution: four
Explanation: The most logical numeric answer in words is four.
Problem: More women suffer from the disease than men i... | five | 4 | NIv2 | task672_nummersense | fs_opt | [
0.363892138004303,
0.7455130815505981,
-0.4692961871623993,
-0.38417160511016846,
-0.2766302525997162,
-0.14710602164268494,
0.3089001774787903,
0.1721571683883667,
0.2413993775844574,
-0.6133682727813721,
-0.31575435400009155,
0.5802448987960815,
-0.5523380041122437,
0.3938128352165222,
... |
Given the task definition and input, reply with output. 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 cl... | geopolitical | 5 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | zs_opt | [
-1.1837058067321777,
0.34793445467948914,
0.036484576761722565,
0.37927940487861633,
-0.993240475654602,
-0.24713671207427979,
0.11302500218153,
0.027613500133156776,
-0.00291616702452302,
-0.503502607345581,
-0.8001097440719604,
0.19359688460826874,
-0.40674543380737305,
-0.27917411923408... |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? ... | purpose
****
| 4 | NIv2 | task1163_coda19_section_classification | fs_opt | [
-0.08922210335731506,
0.4778534173965454,
-0.5259674787521362,
-0.7403408288955688,
-0.12937910854816437,
-0.2516893744468689,
0.4789676070213318,
0.6004937887191772,
-0.006177801638841629,
-0.16890853643417358,
-0.9287573099136353,
0.11847427487373352,
-0.42544424533843994,
0.362827152013... |
Q: You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should not change a... | PersonX can't live their life as freely as PersonY can because _ doesn't want to be a politician when they grow up. | 7 | NIv2 | task035_winogrande_question_modification_person | zs_opt | [
1.0936570167541504,
0.10325796157121658,
-0.1710813045501709,
0.06569534540176392,
0.27165916562080383,
-1.3313689231872559,
1.8120718002319336,
0.6787366271018982,
-0.18008854985237122,
-0.20711302757263184,
0.08596763014793396,
0.38858741521835327,
-0.5667910575866699,
0.3127577304840088... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
Ex Input:
Então ele foi à Igreja da Natividade e trouxe uma escada velha que estava tão velha que poderia ter visto Jesus nascer.
Ex Output:
Foi á Igrexa da Natividade e volveu cunha vella escada, que eran tan vell... | Dis: "" Claro, hoxe non podo escribir porque vou dar unha charla en TED e teño cinco entrevistas e logo vou a unha festa e voume emborrachar.
| 1 | NIv2 | task1279_ted_translation_pt_gl | fs_opt | [
0.3790864944458008,
0.35928061604499817,
-0.6137470006942749,
0.1552029550075531,
-0.09995926171541214,
-0.7328561544418335,
-0.5105834603309631,
0.8484161496162415,
-0.3633224070072174,
0.29822057485580444,
0.047938089817762375,
0.6130086183547974,
-0.6152156591415405,
0.16445834934711456... |
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Example input: Astronomers now believe that every star in the galaxy has a planet, and they speculate that up to one fifth of them have an Earth-like planet that might be able to harbor life, but we haven't seen any of t... | Bem, há uma pergunta ainda mais importante que é provavelmente ainda mais importante que isso, é a noção de eliminar permanentemente a possibilidade de um ataque nuclear, eliminando a ameaça de vez. | 3 | NIv2 | task1094_ted_translation_en_pt | fs_opt | [
-0.18078234791755676,
0.6786262392997742,
0.21185678243637085,
-0.351622611284256,
-0.056535765528678894,
-1.2995063066482544,
0.06638293713331223,
0.512763261795044,
0.7637895941734314,
-0.6366808414459229,
0.16743527352809906,
0.3848762810230255,
-0.698398232460022,
0.06377840787172318,
... |
You will be given a definition of a task first, then some input of the task.
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Wombats bear one young at a time, which develop in the pouch _ months or longer.
Output: | five | 1 | NIv2 | task672_nummersense | zs_opt | [
0.7934823036193848,
0.7747924327850342,
-0.9287431240081787,
-0.529809296131134,
-0.561360776424408,
-0.6713591814041138,
0.29123789072036743,
0.3304837942123413,
0.17690585553646088,
-0.565557599067688,
0.10104948282241821,
0.34739160537719727,
-0.6034603118896484,
0.030435843393206596,
... |
Part 1. Definition
In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
P... | Yes | 7 | NIv2 | task114_is_the_given_word_longest | fs_opt | [
0.35345953702926636,
0.8806004524230957,
-0.2691580057144165,
-0.19674600660800934,
-0.5218533277511597,
-0.6012205481529236,
0.8270843029022217,
0.16370804607868195,
0.07241034507751465,
-0.5031148791313171,
-0.6296380758285522,
0.41993337869644165,
-0.5683380365371704,
-0.091189935803413... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Context: On @hardball @NBCNews @MSNBC I meant to say "Bowling Green ter... | bowling green terrorists | 1 | NIv2 | task239_tweetqa_answer_generation | zs_opt | [
-0.7076380252838135,
0.769549548625946,
-0.633461594581604,
0.5647391080856323,
-0.33932697772979736,
-0.18476343154907227,
-0.06508417427539825,
0.18335875868797302,
-0.15718917548656464,
0.31911447644233704,
0.19600854814052582,
0.19428130984306335,
-0.057895854115486145,
0.1297554820775... |
Instructions: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
Input: Tit... | 21345 | 3 | NIv2 | task217_rocstories_ordering_answer_generation | zs_opt | [
-0.5663037300109863,
0.30706679821014404,
0.028271391987800598,
-0.4111325740814209,
0.048868000507354736,
0.23975509405136108,
0.3838108777999878,
0.3796393573284149,
0.25633013248443604,
-0.28633469343185425,
-0.6101048588752747,
-0.013577468693256378,
-0.2342815399169922,
0.716945171356... |
TASK DEFINITION: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
PROBLEM: והוא אמר: "" היא קראה את זה פעם ואז עוד פעם. "" והיא הסתובבה אלי ואמרה, "זה לא החתול שלנו?"
SOLUTION: E dicía: "" leuno unha vez, e despois o volveu ler. "" Virouse cara el e lle dixo. "Non é ese o... | Cando te relaxas durante 15 minutos ó día transformas o estado inflamatorio nun estado máis anti-inflamatorio.
| 8 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
0.556369423866272,
1.0339033603668213,
0.015719301998615265,
0.17690825462341309,
-0.3074262738227844,
-0.8831517696380615,
1.373708963394165,
0.34673237800598145,
-0.26896804571151733,
-0.18127170205116272,
-0.07978816330432892,
0.035731203854084015,
-0.9808493256568909,
0.240268245339393... |
Q: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Sentence ... | C | 7 | NIv2 | task190_snli_classification | zs_opt | [
-0.5278761386871338,
0.0857098400592804,
0.04178841412067413,
-0.008780127391219139,
-0.06658904254436493,
-1.2155290842056274,
0.08572859317064285,
0.9742233753204346,
0.09634654223918915,
-0.17089447379112244,
-0.3601280748844147,
-0.49166959524154663,
-0.30412742495536804,
-0.6682703495... |
In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
--------
Question: Paragraph: Multilateral agencies def... | False
| 7 | NIv2 | task1162_coda19_title_classification | fs_opt | [
0.29695838689804077,
0.12711447477340698,
-0.1731148362159729,
0.15993690490722656,
0.4166725277900696,
0.2628369629383087,
0.5970838665962219,
0.8638419508934021,
-0.33455890417099,
0.017858168110251427,
-0.46964025497436523,
0.3116486072540283,
-0.26773399114608765,
0.31584757566452026,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Q: E do que eu estou a falar é de nervos.
A: | And what I'm talking about are nerves. | 4 | NIv2 | task1274_ted_translation_pt_en | zs_opt | [
0.17435139417648315,
0.37878304719924927,
0.5505177974700928,
-0.27481693029403687,
-0.5103213787078857,
-0.5765955448150635,
0.14941555261611938,
0.9523482918739319,
0.833437442779541,
-0.3878237009048462,
-0.19473408162593842,
-0.012537711299955845,
-0.900604248046875,
0.5421177744865417... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
One example is below.
Q: Isto inclúe un sistema en árabe chamado al-jebra.
A: Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr.
Rationale: The Galician sentence is correctly translated into Italian, beca... | anzi, non leggo quasi per niente. | 9 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
0.07755686342716217,
1.3240551948547363,
-0.26174598932266235,
0.24763326346874237,
-0.4420464038848877,
-0.9732300639152527,
0.7755610942840576,
0.7733792066574097,
-1.0364519357681274,
-0.0767168402671814,
-0.3601662516593933,
-0.23058626055717468,
-1.0755285024642944,
0.4253347814083099... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Example: ACTION... | no | 1 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | fs_opt | [
-0.39369750022888184,
0.38720738887786865,
0.36666035652160645,
0.6213772296905518,
-0.24741704761981964,
-0.2340070903301239,
-0.3156888484954834,
0.5830044150352478,
0.2484724521636963,
0.7494487166404724,
0.20882365107536316,
-0.5539734363555908,
-0.19897858798503876,
-0.448648750782012... |
In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link information to create the q... | Solution: How many years ago was the Madikeri the Omkareshwar Shiva temple constructed? | 5 | NIv2 | task235_iirc_question_from_subtext_answer_generation | fs_opt | [
-0.2342560887336731,
0.6124566197395325,
-0.47951647639274597,
0.15946266055107117,
-0.08606240898370743,
-0.6116097569465637,
-0.012958468869328499,
1.02311372756958,
0.25293681025505066,
-0.20847675204277039,
-0.6458215713500977,
0.36459678411483765,
-1.0114295482635498,
0.15948468446731... |
You will be given a definition of a task first, then some input of the task.
In this task if the pronoun is female or gender-neutral you are to replace it with a male pronoun. If there are no pronouns add a male-gendered word to the sentence.
Thank you sir. I'm doing very well for a man with a headache. Do you know ab... | I'm doing very well for a man with a headache. Do you know about joanne dudziak? | 1 | NIv2 | task1669_md_gender_bias_text_modification | zs_opt | [
-1.2418463230133057,
1.1519767045974731,
-0.2017749845981598,
-0.4849107563495636,
0.2364334762096405,
-0.4017484784126282,
1.1459873914718628,
-0.13667909801006317,
0.9476771354675293,
-0.01028134673833847,
-0.6286583542823792,
0.0984223484992981,
-0.5392142534255981,
-0.2750735580921173,... |
instruction:
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviati... | Entity
| 9 | NIv2 | task1289_trec_classification | fs_opt | [
-0.6470374464988708,
-0.11466749012470245,
-0.01413990743458271,
0.13371379673480988,
-0.4484170377254486,
-1.0800317525863647,
0.4774085581302643,
-0.22725088894367218,
-0.025683701038360596,
-0.3179059624671936,
-0.5913397669792175,
0.031195292249321938,
-0.5262982845306396,
0.0674471706... |
instruction:
In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
question:
['v', '5433', 'v', '6749', '7491', 'i', '... | g, j, k, p, t, u, y
| 9 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | fs_opt | [
-0.05133375525474548,
-0.19505324959754944,
-0.3762446641921997,
0.11173295974731445,
0.17377707362174988,
-0.29673194885253906,
0.984603762626648,
0.4357221722602844,
-0.4152682423591614,
0.386804461479187,
-0.45596811175346375,
-0.17328791320323944,
-0.41133570671081543,
0.06466853618621... |
Detailed Instructions: Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, ... | point in time | 8 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
-0.0969248116016388,
0.03403397649526596,
-0.26533931493759155,
0.34832286834716797,
0.000778926070779562,
-0.40509530901908875,
-0.18865779042243958,
0.720874547958374,
0.17660290002822876,
0.15278998017311096,
-0.4707314372062683,
0.07138949632644653,
0.22947028279304504,
-0.333033651113... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: זהו שם הולם.
Student: | Jest dość trafnie nazwany. To wielki, wysysający krew pasożyt, | 6 | NIv2 | task1112_ted_translation_he_pl | zs_opt | [
-0.2321380078792572,
0.5121800899505615,
-0.04056261479854584,
-1.0808268785476685,
-0.8408658504486084,
-0.33406978845596313,
1.300544261932373,
-0.6919949054718018,
0.261219322681427,
-0.9979017376899719,
-0.2317752093076706,
0.5350921154022217,
-0.5357134342193604,
-0.31257396936416626,... |
You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit... | 8
****
| 4 | NIv2 | task956_leetcode_420_strong_password_check | fs_opt | [
0.9589722156524658,
1.1541001796722412,
-0.09813016653060913,
-0.7459484934806824,
-0.021516334265470505,
-0.5062018632888794,
1.4748786687850952,
-0.2053767740726471,
0.1359151303768158,
-0.8326635360717773,
0.08441397547721863,
-0.09136916697025299,
-0.8977218866348267,
-0.52824175357818... |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the pass... | a
| 0 | NIv2 | task233_iirc_link_exists_classification | fs_opt | [
0.5146686434745789,
0.2942349910736084,
-0.044604845345020294,
0.024392463266849518,
0.35204464197158813,
-0.5565562844276428,
0.40229907631874084,
0.9385767579078674,
-0.3778076171875,
0.03820127248764038,
-0.4896511137485504,
0.4292890727519989,
-0.6707592010498047,
-0.08091895282268524,... |
Detailed Instructions: In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Problem:It was... | Not paraphrase | 8 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-0.20107430219650269,
0.36999908089637756,
0.2146199345588684,
-0.5366438031196594,
-0.2645931839942932,
0.6340291500091553,
1.2766013145446777,
-0.415388822555542,
0.11525130271911621,
-0.16083255410194397,
-0.40040332078933716,
-0.0513475239276886,
-0.6882286071777344,
0.3025881648063659... |
Teacher:In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
Teacher: Now, understand the problem? Solve this instance: [header] How to play softball [t... | C | 6 | NIv2 | task1389_hellaswag_completion | zs_opt | [
0.7751356959342957,
0.2439441680908203,
-1.5379574298858643,
0.6238192915916443,
-0.004555600695312023,
-0.433106929063797,
1.1259270906448364,
0.4361405074596405,
0.7787600159645081,
-0.25882747769355774,
0.002260307315737009,
1.0469694137573242,
0.2999058961868286,
-0.8181942701339722,
... |
In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.
Ex Input:
Pass... | is
| 1 | NIv2 | task390_torque_text_span_selection | fs_opt | [
0.08180317282676697,
-0.05063537135720253,
-0.3836175799369812,
0.21321412920951843,
-0.1860363632440567,
0.9384276866912842,
0.0875684916973114,
0.799267053604126,
-0.11893465369939804,
0.7182012796401978,
0.5138896703720093,
0.2122098207473755,
0.05771111696958542,
0.17537571489810944,
... |
Definition: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Input: Soyeb Hasan recorded behind the scenes how the human flag event was organized and uploaded the footage to YouTube:
Output: | سویب حسن پشت پرده نحوه مدیریت پرچم انسانی را ضبط کرده و در یوتیوب قرار داده است: | 2 | NIv2 | task663_global_voices_en_fa_translation | zs_opt | [
0.8852094411849976,
0.08059288561344147,
-0.3221113681793213,
0.026547329500317574,
0.01515074260532856,
0.03716326504945755,
0.5988017320632935,
0.6929457187652588,
-0.24569803476333618,
0.5182574987411499,
0.28884273767471313,
0.6480374336242676,
-0.014854680746793747,
0.0680800080299377... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
[Q]: Beginning: I try to d... | 1
| 5 | NIv2 | task069_abductivenli_classification | fs_opt | [
-0.40799373388290405,
0.7167472839355469,
-0.04234529286623001,
-0.10814274847507477,
-0.17635612189769745,
-0.08658939599990845,
0.28006529808044434,
1.1988297700881958,
-0.4826684594154358,
0.0853862315416336,
-0.9414755702018738,
0.16549912095069885,
-0.43390876054763794,
-0.43287181854... |
A text is given in Tamil. Translate it from the Tamil language to the Hindi language. The translation must not omit or add information to the original sentence.
Let me give you an example: முன் கூட்டி அறிந்துகொள்ள முடியாத பருவநிலையினால் ஏற்படும் பாதிப்புகளில் இருந்து விவசாயிகலை பாதுகாக்க பிரதமர் பயிர் காப்பீட்டுத் திட... | तैराकी में, कर्नाटक के श्रीहरी नटराज ने 6 स्वर्ण और 1 रजत पदक जीते। | 8 | NIv2 | task994_pib_translation_tamil_hindi | fs_opt | [
-0.25317397713661194,
0.461539089679718,
-0.29416728019714355,
0.018237214535474777,
-0.06329689174890518,
-1.5016870498657227,
0.2760564088821411,
0.6909674406051636,
-0.3637956976890564,
-0.04415421187877655,
-1.4900225400924683,
0.17965266108512878,
-0.770785927772522,
0.297620564699173... |
In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Input: Consider Input: Context: Kai went to the zoo by himself. Kai sa... | Output: Yes
| 2 | NIv2 | task579_socialiqa_classification | fs_opt | [
0.2501796782016754,
-0.5073074102401733,
-0.6735756993293762,
0.5757347345352173,
-0.1956706941127777,
-0.7644875049591064,
0.7508116960525513,
0.46559643745422363,
-0.46040934324264526,
0.3662216067314148,
-0.11136624962091446,
-0.26094070076942444,
-0.5286300182342529,
0.1500190496444702... |
Detailed Instructions: In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'f... | [{'first': -71, 'second': 17}, {'first': -25, 'second': 2}, {'first': 73, 'second': -49}] | 9 | NIv2 | task123_conala_sort_dictionary | zs_opt | [
-0.16419243812561035,
0.48671409487724304,
-0.19444972276687622,
-0.5541443228721619,
0.27587375044822693,
-0.47066038846969604,
0.8835232257843018,
0.4560622274875641,
0.2809135317802429,
-0.13476409018039703,
-0.49328187108039856,
-0.30462372303009033,
-0.916588544845581,
-0.097319178283... |
Teacher:Given a comment text in Malayalam, classify the comment into one of these categories (i) Hope speech, (ii) Not Hope Speech or (iii) Not in Expected Language. A hope speech contains content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Teacher: Now, underst... | Not in Expected Language | 6 | NIv2 | task681_hope_edi_malayalam_text_classification | zs_opt | [
-0.45734959840774536,
0.04237073287367821,
0.30411285161972046,
-0.22306416928768158,
-0.3382042348384857,
-0.9213700890541077,
0.537666380405426,
1.1428223848342896,
-0.2920704782009125,
0.1269809901714325,
-0.5186197757720947,
0.0686274915933609,
-0.36915668845176697,
-0.4414761662483215... |
Part 1. Definition
You are given a target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti... | stereotype | 7 | NIv2 | task319_stereoset_classification_profession | fs_opt | [
-0.3671190142631531,
0.7502530813217163,
-0.037750110030174255,
-0.13017210364341736,
0.14507678151130676,
-0.302016019821167,
0.46331125497817993,
0.6244468092918396,
0.6791057586669922,
-0.2306080162525177,
-0.4316551685333252,
-0.08063794672489166,
-0.5287372469902039,
-0.31174433231353... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Input: Consider Input: Sentence 1: If I cared as much about that young lady as I do about my ow... | Output: 4
| 2 | NIv2 | task198_mnli_domain_classification | fs_opt | [
-0.5939545631408691,
0.19155633449554443,
0.18207494914531708,
0.1550501585006714,
-0.22319753468036652,
-0.05568157136440277,
0.3488338589668274,
1.182368278503418,
-0.2058514654636383,
0.07062128186225891,
-0.3721213638782501,
0.11865803599357605,
-0.33647453784942627,
-0.386470586061477... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
One example: Così diventa un igloo.
Solution is here: این یک خانه ی اسکیمو می شود.
Explanation: The Italian sentence is correctly translated into Farsi, because the meaning is preserved.
Now, solve this: Infatti per fare que... | در حقیقت ، من یک قوطی آب پرتقال خریدم و ریختم توی لیوان تا بتونم این عکس رو بگیرم. (خنده حضار) | 6 | NIv2 | task1254_ted_translation_it_fa | fs_opt | [
0.000144321471452713,
0.35203424096107483,
-0.05600354075431824,
-0.0805368423461914,
-0.09493938088417053,
-0.8009852170944214,
0.8878974318504333,
0.0791906863451004,
0.15040573477745056,
-0.45277726650238037,
-0.5022940635681152,
0.5573606491088867,
-0.8599673509597778,
0.68881201744079... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, Pers... | Yes | 1 | NIv2 | task1215_atomic_classification_capableof | zs_opt | [
0.20790225267410278,
0.49565306305885315,
0.6566522121429443,
-0.32433921098709106,
-0.4785638451576233,
-0.6108474135398865,
0.8324307203292847,
0.2539840340614319,
-0.250523179769516,
-0.5266538858413696,
-0.3201729357242584,
-0.6824109554290771,
-0.27529749274253845,
0.38171350955963135... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about another in... | blue_treasure_chest | 0 | NIv2 | task151_tomqa_find_location_easy_clean | zs_opt | [
0.3094489574432373,
-0.3008258640766144,
-0.14782951772212982,
0.21695104241371155,
-0.4964578151702881,
-0.2574642300605774,
0.48894739151000977,
0.46241551637649536,
0.3028113842010498,
-0.4155867397785187,
-0.28485244512557983,
0.36346864700317383,
0.19812753796577454,
0.189028292894363... |
TASK DEFINITION: You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
PROBLEM: Comunque, be ', penso solo che essere qui con tutti voi giovani affermati, praticamente gli architetti di un futuro più splendente,
SOLUTION: W każdym razie, no wiecie... Moim zdaniem, być tutaj z ... | Cząsteczki różnią się tylko jednym atomem węgla i dwoma połączonymi atomami wodoru, a jednak jeden z nich, octan heptylu, ma wyraźny zapach gruszki, podczas gdy octan heksylu to banan.
| 8 | NIv2 | task1253_ted_translation_it_pl | fs_opt | [
-0.20273977518081665,
0.7069994211196899,
0.09938004612922668,
-0.16145721077919006,
-0.237209290266037,
-0.6790260672569275,
0.7592816352844238,
0.5899852514266968,
-0.0972425788640976,
0.053073324263095856,
-0.576302170753479,
0.5146540403366089,
-0.27925753593444824,
0.1860707700252533,... |
In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
[EX Q]: OVZxWYzAAxG, rStOxWYzJeoC
[EX A]: xWYz
[EX Q]: biAihydBoNlzR, IAloNhydBolwUz
[EX A]: hydBo
[EX Q]: lzsZKvzrGTV, fdmZKvzGW
[EX A]: | ZKvz
| 6 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | fs_opt | [
0.4950904846191406,
1.4040299654006958,
0.018359197303652763,
0.0012976480647921562,
-0.15851344168186188,
-0.10441850125789642,
0.41862913966178894,
-0.321645587682724,
-0.1568073034286499,
-0.5968958735466003,
-0.7064871191978455,
-0.8934893608093262,
-0.38791316747665405,
0.360462248325... |
In this task, you need to provide the correct option for a given problem from the provided options.
Problem: the simple form of the ratio 9 / 8 : 3 / 4 is ?
Options: a ) 5 : 8 , b ) 5 : 5 , c ) 5 : 9 , d ) 3 : 2 , e ) 5 : 1 | d | 0 | NIv2 | task1421_mathqa_other | zs_opt | [
0.35577279329299927,
0.7821849584579468,
-0.4715420603752136,
-0.048742301762104034,
-0.8033357858657837,
0.2490415871143341,
1.3955018520355225,
1.0817886590957642,
0.1114816963672638,
-0.09973292797803879,
-0.5873505473136902,
0.11783324927091599,
0.06375372409820557,
-0.3919524848461151... |
Part 1. Definition
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) ... | occupation | 7 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
-0.07189831137657166,
-0.23233594000339508,
-0.012009716592729092,
-0.3537856340408325,
0.3063623011112213,
0.8897141814231873,
0.504392147064209,
0.7488058805465698,
0.27496981620788574,
0.36229631304740906,
0.30143117904663086,
0.3082236051559448,
-1.0549755096435547,
-0.3595354557037353... |
instruction:
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 ... | ac
| 9 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
-0.15732848644256592,
0.12649235129356384,
-0.4275062084197998,
-0.24449221789836884,
-0.3788857161998749,
-0.05425301194190979,
0.1517556756734848,
0.9828087687492371,
-0.1663704216480255,
0.2666763663291931,
-0.6270682215690613,
-0.32512110471725464,
0.08155804872512817,
-0.3051434159278... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Luego el frente se mueve al monzón del NE.
A: | その後前線は北東季節風へと移動します | 7 | NIv2 | task1227_ted_translation_es_ja | zs_opt | [
-0.2502672076225281,
0.3408180773258209,
0.4628191590309143,
-0.05884205922484398,
-0.5103474855422974,
-0.3490862250328064,
-0.005031981971114874,
0.41872158646583557,
0.7211613655090332,
-0.7000552415847778,
-0.2800205945968628,
-0.5882388353347778,
-0.6611638069152832,
0.584482371807098... |
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Q: Article: Thick dust rose and a large building collapsed. This was the scene in Zhu Zhou,Hunan Province on May 17. Nine people were killed and 16 injured. Things were similar in the Si... | What does the passage mainly introduce? | 4 | NIv2 | task311_race_question_generation | zs_opt | [
0.16254232823848724,
0.8742846846580505,
-0.22204521298408508,
0.08720927685499191,
0.27620577812194824,
-0.09839385002851486,
0.09827706217765808,
0.8533764481544495,
-0.7820167541503906,
0.5695402026176453,
-0.7486532330513,
0.21917743980884552,
-0.6881827116012573,
0.1699615716934204,
... |
Detailed Instructions: You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Problem:Questi... | Eric | 8 | NIv2 | task178_quartz_question_answering | zs_opt | [
-0.6910570859909058,
0.1402014195919037,
-0.007633616682142019,
-0.25339189171791077,
-0.4205535650253296,
-1.3296352624893188,
0.555195689201355,
0.8151288628578186,
0.14423884451389313,
0.47427937388420105,
0.14856639504432678,
0.07563916593790054,
-1.1651829481124878,
0.0068636210635304... |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one tha... | b
| 7 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
0.0688357800245285,
0.3256077766418457,
-0.531968355178833,
-0.171321839094162,
0.8155519962310791,
-0.2991481125354767,
-0.16568982601165771,
1.0648518800735474,
-0.12071293592453003,
0.1906004548072815,
-0.15663939714431763,
0.23245051503181458,
0.03669458255171776,
-0.140455424785614,
... |
You are given a target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an i... | anti-stereotype
****
| 4 | NIv2 | task319_stereoset_classification_profession | fs_opt | [
-0.12188950181007385,
0.5619566440582275,
-0.054966963827610016,
0.05928172543644905,
0.19115012884140015,
-0.4418998658657074,
0.39614856243133545,
0.7300630807876587,
0.6063193678855896,
-0.10499154031276703,
-0.20187264680862427,
-0.07335925847291946,
-0.6669070720672607,
-0.43914252519... |
You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will ask you to find the value... | probability
| 3 | NIv2 | task834_mathdataset_classification | fs_opt | [
0.30850595235824585,
0.29817789793014526,
0.041316546499729156,
0.23709607124328613,
0.4137328565120697,
0.10112538188695908,
0.07728828489780426,
0.7931399345397949,
0.33182910084724426,
-0.14180442690849304,
-0.5958951115608215,
0.07718344032764435,
-0.11836820095777512,
-0.2716258764266... |
Definition: In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is "No", you should ask a question that its answer would be "No", and i... | Is capturing giant squid in natural habitat impossible with no gear? | 2 | NIv2 | task167_strategyqa_question_generation | zs_opt | [
0.22751876711845398,
0.22175642848014832,
-0.31029003858566284,
0.4502168595790863,
-0.11313436180353165,
-0.20733395218849182,
0.7825528383255005,
0.007055181078612804,
0.19729343056678772,
-0.12772059440612793,
0.2585357427597046,
0.5860944390296936,
-1.0701167583465576,
-0.1694348752498... |
A text is given in English. Translate it from the English language to the Bengali language. The translation must not omit or add information to the original sentence.
Q: for the last 70 years, there were 4 crore people who were paying direct taxes.
A: | কোথায় তিন, সাড়ে তিন, পৌনে চার কোটি আর কোথায় পৌনে সাত কোটি – এটাই সততার জলজ্যান্ত উদাহরণ। | 4 | NIv2 | task996_pib_translation_english_bengali | zs_opt | [
-0.03353650122880936,
1.6053733825683594,
0.15548405051231384,
-0.21215596795082092,
0.10043659806251526,
-1.2183846235275269,
0.5748612880706787,
0.023164309561252594,
0.6014251112937927,
0.061240099370479584,
0.2783578038215637,
0.24830934405326843,
-0.23544079065322876,
0.13629394769668... |
You will be given a definition of a task first, then some input of the task.
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.
この地域の人々は氷河から融けた水による大洪水のために避難している。
Output: | ผู้คนในบริเวณนั้นพากันอพยพออกไปจากพื้นที่แล้วเนื่องจากน้ำที่ละลายจากธารน้ำแข็งทำให้เกิดน้ำท่วมใหญ่ | 1 | NIv2 | task1127_alt_ja_th_translation | zs_opt | [
-0.11716406792402267,
0.7105126976966858,
-0.16190463304519653,
-0.5373793244361877,
0.38229843974113464,
-1.1623430252075195,
0.4757784605026245,
0.8713018298149109,
-0.2859479784965515,
0.06180110201239586,
-0.10619953274726868,
0.42626088857650757,
-0.5311053991317749,
0.293126434087753... |
In this task, you will be presented with the directions of a recipe separated by "," and have to fill in the "___" which is a step that is missing from the recipe.
Example Input: Preheat oven to 375 degrees F.,In a saute pan over medium heat, add extra-virgin olive oil.,______,Add the carrot and cook for 3 minutes.,Ad... | Now your ready to stuff your chiles.
| 3 | NIv2 | task572_recipe_nlg_text_generation | fs_opt | [
0.7058306932449341,
0.059748198837041855,
-0.5701736807823181,
0.5403865575790405,
0.40625423192977905,
0.266009122133255,
0.9662004709243774,
1.0424094200134277,
-0.7814023494720459,
-0.19863682985305786,
0.5212908983230591,
0.708816409111023,
-0.4645038843154907,
0.5192028284072876,
-0... |
You will be given two sentences. One of them is created by paraphrasing the original one, with changes on an aspect, or using synonyms. Your task is to decide what is the difference between two sentences. Types of change are explained below:
Tense: The verbs in the sentence are changed in tense.
Number: Plural nouns, ... | Number | 6 | NIv2 | task276_enhanced_wsc_classification | fs_opt | [
-0.46059390902519226,
0.21366411447525024,
0.04716344177722931,
-0.40257900953292847,
-0.4633743166923523,
-0.9042543172836304,
0.8182674646377563,
0.6264126300811768,
0.35796114802360535,
0.04209285229444504,
-0.3607044816017151,
0.19755855202674866,
-0.42862337827682495,
0.14012594521045... |
Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronou... | A nurse is making sure a patient does not get sick. | 3 | NIv2 | task184_snli_entailment_to_neutral_text_modification | zs_opt | [
-0.7356033325195312,
0.45133984088897705,
0.3033594787120819,
-0.5454610586166382,
0.3514494001865387,
-0.6486724615097046,
-0.5691796541213989,
0.6785367131233215,
0.23784559965133667,
-0.0036545470356941223,
-0.8604674339294434,
-0.511683464050293,
-0.003592828754335642,
-0.0812909603118... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوف... | むしろ逆に 70 ％ もの人々が渋滞料金を支持するところまでになり繰り返しますとストックホルムの70 ％ の住民が以前はなかった渋滞料金の存続を望んだのです | 0 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
0.29418423771858215,
1.2836180925369263,
-0.2175477147102356,
-0.015718773007392883,
-0.6911377906799316,
0.2233620285987854,
1.3546853065490723,
0.3559964895248413,
0.33201542496681213,
-0.35012900829315186,
-0.4998164772987366,
0.1902109682559967,
-0.6892504692077637,
0.5007487535476685,... |
Given the task definition and input, reply with output. In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Es necesario, al contrario, abrir las instituciones eu... | Instead, we must open the European institutions to the modern world by creating a flexible dynamic which respects nations. | 5 | NIv2 | task531_europarl_es_en_translation | zs_opt | [
-0.6982868909835815,
0.7346552610397339,
0.8767569661140442,
0.2810989022254944,
-0.3198598325252533,
-0.3655243515968323,
0.5009356737136841,
0.4453887641429901,
0.09672319889068604,
-0.1301538050174713,
-0.15404754877090454,
0.14156459271907806,
-0.5926364660263062,
-0.13912606239318848,... |
Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
Example: Female snakes incubate eggs inside of their bodies, giving birth to live young of ____ or more. \Question: Choose the right answer from th... | Solution: c | 5 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | fs_opt | [
-0.6714832782745361,
0.7084871530532837,
-0.8596458435058594,
-0.20465563237667084,
-0.3691515624523163,
-0.3369733393192291,
0.08476285636425018,
1.1176197528839111,
-0.01838645152747631,
0.1839974820613861,
-0.32320064306259155,
0.2896183431148529,
-1.1406395435333252,
0.3230789303779602... |
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