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 |
|---|---|---|---|---|---|---|
This task is to translate the Telugu Language Input to English Language Output
Example input: నేను వీడియో చేస్తున్నాను
Example output: I am making a video.
Example explanation: Both the sentences says the same meaning in different languages, so it is a correct translation.
Q: మరలా అతనిని తిరిగి తీసుకురావా?
A: | Can I bring him back again? | 3 | NIv2 | task1617_cc_alligned_translate_tel_eng | fs_opt | [
-0.09111310541629791,
0.5702335238456726,
0.3017653822898865,
0.7108299136161804,
-0.17533211410045624,
0.06249905377626419,
-0.48221316933631897,
1.054732322692871,
-0.8303199410438538,
-0.16325458884239197,
0.165305957198143,
0.12644144892692566,
-0.1619483232498169,
-0.2673652172088623,... |
instruction:
A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.
question:
युवावस्थेत त्यांना राष्ट्रीय स्वयंसेवक संघाचे कार्य सुरू करून शालेय शिक्षणाच्या शेवटच्या टप्प्यातच ते मुख्य शिक्षक बनले.
answer:
جناب... | کابینہ نے سیاحت کے شعبے میں تعاون کو مستحکم کرنے کے لئے ہندستان اور کوریا کے درمیان مفاہمت نامے کو منظوری دی
| 9 | NIv2 | task989_pib_translation_marathi_urdu | fs_opt | [
-0.005259506404399872,
0.412195086479187,
-0.40008485317230225,
-0.7181693315505981,
-0.22620679438114166,
-0.81123286485672,
0.8897361755371094,
0.6494426727294922,
0.04742591828107834,
-0.07807642221450806,
-0.18525922298431396,
-0.7515986561775208,
-0.33276915550231934,
0.12927997112274... |
Part 1. Definition
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Part 2. Example
فالفرقة الأولى من أجهزة الحاسب سيتم تشغيلها هذا الصيف و نحن نساعد د. زنفلر في صنع استراتيجيات حول كيفية امكانية ربط الفصل مع البيت ليمتد التعليم الى بعد اليوم المدرسي.
Answer: A fines del ve... | Fui a la escuela, no porque las niñas o mujeres masái fueran a la escuela. | 7 | NIv2 | task1232_ted_translation_ar_es | fs_opt | [
-0.5059835910797119,
0.36231619119644165,
-0.6397503018379211,
-0.37671005725860596,
-0.5230998992919922,
0.130531445145607,
0.8729048371315002,
0.8434597253799438,
0.6187400817871094,
-0.17700408399105072,
-0.33563071489334106,
-0.025447826832532883,
-0.3897022604942322,
-0.28996768593788... |
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.
Example Input: Question: Will drille... | 15 degrees
| 3 | NIv2 | task178_quartz_question_answering | fs_opt | [
0.02149820141494274,
0.30990034341812134,
-0.6129109859466553,
0.07791943848133087,
-0.41821083426475525,
-1.049389362335205,
0.4507664144039154,
0.9623026251792908,
-0.09244966506958008,
-0.0964135229587555,
-0.23944634199142456,
0.6012152433395386,
-0.4312998950481415,
-0.400879800319671... |
Given the task definition and input, reply with output. In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Context: Otto Ludwig Preminger (; 5 Decem... | 1952 | 5 | NIv2 | task1296_wiki_hop_question_answering | zs_opt | [
0.5335075855255127,
0.39298152923583984,
-0.5156494379043579,
0.4198015332221985,
0.633397102355957,
-0.15365351736545563,
0.47404003143310547,
0.9713078141212463,
0.0454559363424778,
0.07685451209545135,
-0.45890843868255615,
0.524449348449707,
-0.6400749087333679,
-0.056343693286180496,
... |
Definition: In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for t... | #1 return small ball
#2 return green ball
#3 return #2 that is shiny
#4 return #1 to the left of #3
#5 return color of #4 | 2 | NIv2 | task176_break_decompose_questions | zs_opt | [
0.8614135980606079,
-0.3713105320930481,
-0.7504006624221802,
0.44056057929992676,
0.06746536493301392,
-0.06286032497882843,
1.047764539718628,
0.27284708619117737,
-0.17165939509868622,
0.5906336307525635,
-0.5906717777252197,
0.06214795261621475,
0.2215781956911087,
0.13943392038345337,... |
Detailed Instructions: In this task, you need to count the number of words in a sentence that contain the given letter
Problem:Sentence: 'a white bed with a rucksack and bag on it'. How many words contain the letter 'x' in the sentence.
Solution: | 0 | 8 | NIv2 | task161_count_words_containing_letter | zs_opt | [
-0.3610273003578186,
0.6726989150047302,
-0.7744083404541016,
-1.2210251092910767,
-0.43024030327796936,
0.34021174907684326,
0.41903454065322876,
0.3317844867706299,
0.5201676487922668,
-0.8138564825057983,
-0.04991484060883522,
-0.10589153319597244,
-0.5891535878181458,
-0.47707208991050... |
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 | task1212_atomic_classification_hasproperty | zs_opt | [
0.5007440447807312,
0.07694034278392792,
0.327215313911438,
-0.08554613590240479,
-0.40875256061553955,
-0.9466296434402466,
0.8713483810424805,
0.782701849937439,
-0.4944570064544678,
0.10723419487476349,
-0.767430305480957,
-0.4414852261543274,
-0.04110221564769745,
0.052874524146318436,... |
A text is given in Bengali. Translate it from the Bengali language to the Hindi language. The translation must not omit or add information to the original sentence.
Let me give you an example: ইংরেজিতেও সবাই বলেন – পেসিমিজ্ম লীড্স টু উইক্নেস্, অপ্টিমিজ্ম টু পাওয়ার।
The answer to this example can be: हर किसी ने ... | उन्होंने पुरस्कार विजेताओं को उनकी अमूल्य सेवाओं के लिए बधाई दी। | 8 | NIv2 | task1009_pib_translation_bengali_hindi | fs_opt | [
-0.23127472400665283,
0.671260416507721,
0.24313557147979736,
-0.603374719619751,
0.03583401441574097,
-1.378357172012329,
0.19475018978118896,
-0.024573922157287598,
-0.02889750711619854,
-0.08269434422254562,
-0.654282808303833,
0.2867746949195862,
-0.2723734974861145,
0.0736894607543945... |
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.
Example: ['8129', 'a', '4245', 'y', 'm', 'a']
Example solution: ... | Solution: a, c, d, e, g, h, j, k, l, m, n, o, q, r, u | 5 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | fs_opt | [
0.38587090373039246,
-0.29898735880851746,
-0.175625741481781,
-0.40928077697753906,
0.3181108236312866,
-0.4669560492038727,
0.6671123504638672,
0.6077095866203308,
-0.2702234387397766,
-0.05613070726394653,
-0.5382730960845947,
-0.343815416097641,
-0.21274852752685547,
0.1687768399715423... |
Detailed Instructions: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or ... | Offensive | 8 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-0.4918704330921173,
0.388980895280838,
0.5104384422302246,
0.18765980005264282,
-0.18844909965991974,
-1.0076133012771606,
-0.14610691368579865,
1.0938374996185303,
0.33448517322540283,
0.7781602144241333,
-0.340692400932312,
-0.7871909737586975,
-0.6016509532928467,
-0.9712905883789062,
... |
Given a context passage, generate a question from the passage such that its answer is shortest continous span from the passage.
One example is below.
Q: In 1582 the united provinces invited francis, duke of anjou to lead them; but after a failed attempt to take antwerp in 1583, the duke left the netherlands again. afte... | What was the production company for Beloved Infidel? | 9 | NIv2 | task470_mrqa_question_generation | fs_opt | [
0.3510732650756836,
0.9731000661849976,
0.13663101196289062,
-0.034423813223838806,
0.8059730529785156,
0.09797169268131256,
-0.4657896161079407,
-0.20431280136108398,
-0.051817815750837326,
-0.2541639804840088,
0.11128778755664825,
0.34937673807144165,
-0.8301124572753906,
0.0227580703794... |
Part 1. Definition
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
Part 2. Example
Text: The Mansfield Building Society is a UK building society which has its headq... | 1 | 7 | NIv2 | task633_dbpedia_14_answer_generation | fs_opt | [
-0.4052655100822449,
0.8857227563858032,
0.24885410070419312,
-0.12083452939987183,
0.020948536694049835,
-1.3649675846099854,
0.154127299785614,
-0.053127456456422806,
0.10187080502510071,
-0.10408652573823929,
-0.5688284635543823,
-0.26603972911834717,
-0.28960275650024414,
-0.0116349663... |
Teacher: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... | Adverb | 6 | NIv2 | task276_enhanced_wsc_classification | zs_opt | [
-0.19353196024894714,
0.4186646342277527,
-0.0761951208114624,
-0.11219721287488937,
-0.024937115609645844,
-0.5992197394371033,
0.7563374042510986,
0.24677786231040955,
-0.17979222536087036,
-0.4675273597240448,
-0.37481558322906494,
-0.3953467607498169,
-0.972378134727478,
0.336770027875... |
Given the task definition and input, reply with output. In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*y... | Houston | 5 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
-0.4972590506076813,
1.719732642173767,
0.5327553153038025,
0.2916714549064636,
-0.06826788932085037,
-0.26662710309028625,
0.8270009756088257,
0.0918026864528656,
0.6407794952392578,
-0.1747589111328125,
-0.5452964901924133,
0.5820761919021606,
0.3129758834838867,
-0.4064410924911499,
0... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
אז אני לא בטוח אם ראיתם את אלו שיושבים לצדכם מרימים יד. | No estoy seguro que hayan visto a sus vecinos levantar la mano. | 0 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.8032598495483398,
0.5332563519477844,
-0.4787951707839966,
-0.1396155208349228,
-0.7981749773025513,
0.003251215908676386,
0.6589443683624268,
0.25154536962509155,
1.1778788566589355,
-0.4764656126499176,
0.14993450045585632,
-0.07851899415254593,
-0.7399203777313232,
0.1782260239124298... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 4 | NIv2 | task1201_atomic_classification_xintent | zs_opt | [
0.3376675844192505,
0.30772972106933594,
0.3928987383842468,
-0.16780656576156616,
-0.514439582824707,
-0.9241195321083069,
1.5041507482528687,
0.15953093767166138,
-0.27477842569351196,
-0.18139079213142395,
-0.31026989221572876,
-0.4058341681957245,
-0.8882144689559937,
0.343389302492141... |
Q: In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Reviews: I couldn't use this product. The packaging was i... | True | 7 | NIv2 | task1309_amazonreview_summary_classification | zs_opt | [
-0.5359846353530884,
0.5389313101768494,
0.36129868030548096,
-0.26302430033683777,
-0.2719782590866089,
-0.4303273558616638,
0.6669450998306274,
0.23460739850997925,
-0.5682511329650879,
0.5090023279190063,
-0.3891732096672058,
0.1979856789112091,
-0.3489696681499481,
0.14844873547554016,... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Q: 8 zmian żagli w 12 godzin.
A: ۸ بار تغییر بادبان در طی ۱۲ ساعت
****
Q: Początkowe sukcesy talibów w rozdartym wojną Afganistanie, czy nawet początki popularności ISIS mogą okazać się zrozumiałe, kiedy spojrzeć na wysiłki t... | یکی زندگی کاری ماست که ما تولیدکننده هستیم یکی زندگی کاری ماست که ما تولیدکننده هستیم
****
| 4 | NIv2 | task1263_ted_translation_pl_fa | fs_opt | [
-0.28918594121932983,
0.3647513687610626,
-0.5867289900779724,
0.11408032476902008,
-0.5747251510620117,
-0.5401703715324402,
1.1211166381835938,
0.26966702938079834,
-0.5218490958213806,
-0.1590779423713684,
-0.8480246663093567,
-0.06881486624479294,
-0.5172081589698792,
0.336441695690155... |
Definition: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer... | My wife want(s) our son to pick it up >Motivates> Our son goes to pick it up | 2 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.6370190382003784,
0.28464826941490173,
-0.0995892584323883,
-0.006045584566891193,
-0.472009539604187,
-0.4191098213195801,
0.2573392987251282,
0.6110389232635498,
0.08624400943517685,
-0.11317827552556992,
-0.3827967643737793,
0.4041251242160797,
-0.42406952381134033,
0.325425297021865... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Article: ... | no | 0 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.2554677128791809,
0.038167018443346024,
-0.28397703170776367,
0.2820521891117096,
-0.23114918172359467,
-0.09459827095270157,
0.31527286767959595,
0.8868070840835571,
-0.09234251081943512,
0.36126524209976196,
-0.35116544365882874,
0.10154925286769867,
-0.811150074005127,
0.193856537342... |
Classify the given a piece of financial news into three classes: positive, negative, and neutral. Output must be 'positive', 'negative', or 'neutral'.
[Q]: The situation of coated magazine printing paper will continue to be weak .
[A]: negative
[Q]: Operating profit totaled EUR 3.8 mn , down from EUR 4.5 mn in the c... | neutral
| 5 | NIv2 | task843_financial_phrasebank_classification | fs_opt | [
-0.25338995456695557,
0.18397808074951172,
-0.3074554204940796,
0.2674100697040558,
0.19693338871002197,
-0.05423358827829361,
0.2027328461408615,
0.4657125473022461,
0.46177181601524353,
0.6423550844192505,
-0.2965259850025177,
1.1883248090744019,
0.13424409925937653,
-0.3552514910697937,... |
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 be labeled as... | Solution: Non-hateful | 5 | NIv2 | task334_hateeval_classification_hate_es | fs_opt | [
-0.5723530054092407,
0.24743226170539856,
0.653233528137207,
0.6840391755104065,
-0.34917956590652466,
-0.979925811290741,
0.2733582556247711,
1.3199505805969238,
0.5055809020996094,
0.19350695610046387,
-0.40995997190475464,
0.36127814650535583,
-0.2861814796924591,
-0.717551589012146,
... |
In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
One example: And the sun runs his course for a period determined for him: that is the decree of (Him), the Exalted in Might, the All-Knowing.
Solution is here: و خورشید [نیز برای آنان نشانهای از قدرت ماست] ... | و آنان که به آنچه به سوی تو و به آنچه پیش از تو نازل شده، مؤمن هستند و به آخرت یقین دارند. | 6 | NIv2 | task656_quran_en_fa_translation | fs_opt | [
-0.6290823221206665,
0.8623443841934204,
-0.2579496502876282,
-0.27037230134010315,
-0.8120338916778564,
-1.02476966381073,
0.759259045124054,
0.14536434412002563,
0.15681391954421997,
-0.0982406735420227,
-0.41661322116851807,
0.8243006467819214,
-0.5049417018890381,
0.4779484272003174,
... |
Definition: 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: ROYAL ODDITIES
Clue: Although officially listed, this 18th centur... | louis xvii | 2 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-0.5964968204498291,
1.2264924049377441,
-0.18266898393630981,
-1.004031777381897,
-0.21806316077709198,
-0.1848771870136261,
0.812795102596283,
0.008857611566781998,
0.42193537950515747,
-0.5274363160133362,
-0.6572400331497192,
-0.10182946175336838,
-0.558936357498169,
-0.147373661398887... |
In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the position is the nu... | 1, Tom decided to drive to his girlfriend's house today. | 4 | NIv2 | task299_storycloze_sentence_generation | zs_opt | [
0.22893363237380981,
0.9465502500534058,
0.6756808161735535,
-0.5803964138031006,
0.4823855459690094,
0.09524229168891907,
0.3319253921508789,
0.6567271947860718,
-0.16681911051273346,
0.43294036388397217,
-0.7745402455329895,
-0.2417062520980835,
-0.45446300506591797,
-0.2597099542617798,... |
Definition: Given a scientific passage and an answer, generate a question for the given answer.
Input: Passage: Water has remarkable properties. Water expands when it freezes, even though all other substances contract. This means that in the winter ice on a pond or lake will float. Water has high surface tension becaus... | What can water's high surface tension be attributed t? | 2 | NIv2 | task594_sciq_question_generation | zs_opt | [
0.01896004006266594,
1.1811535358428955,
-0.2700353264808655,
-0.041133612394332886,
0.3746546804904938,
-1.139845371246338,
0.20376262068748474,
0.1308019757270813,
0.07956573367118835,
-0.1995450258255005,
-0.4134672284126282,
0.047702886164188385,
-1.7739219665527344,
0.2619815766811371... |
In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
[Q]: [12, -... | [92, 74]
| 5 | NIv2 | task369_synthetic_remove_odds | fs_opt | [
-0.47223374247550964,
0.5590274333953857,
0.10703521221876144,
-0.8897405862808228,
-0.2020997703075409,
0.023042820394039154,
0.8622860312461853,
0.28565675020217896,
0.04875686764717102,
0.3344738483428955,
-0.7639163732528687,
-0.1935267150402069,
0.08766759932041168,
-0.312069535255432... |
In this task, you are given a question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No".
One example is below.
Q: what latitude is tropic of cancer, Answer: It currently (Year 2013) lies at 23° 26′ 15.143′′ north of the Equator.
A: Yes
Rationale: This is a good examp... | Yes | 9 | NIv2 | task1294_wiki_qa_answer_verification | fs_opt | [
-0.07460775226354599,
-0.20968730747699738,
0.3234306275844574,
-0.2551388144493103,
-0.06572593748569489,
-1.1200087070465088,
0.5684642791748047,
-0.21386459469795227,
-0.39094892144203186,
0.11613991856575012,
-0.6439553499221802,
0.006987112108618021,
-0.5942057371139526,
0.34692403674... |
Detailed Instructions: This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Problem:Ebola en ongelijkheid
Solut... | O Ébola e a desigualdade | 8 | NIv2 | task1375_newscomm_translation | zs_opt | [
-0.3442552089691162,
0.7615768909454346,
0.16198548674583435,
0.2506667375564575,
-0.4648605287075043,
-0.260656476020813,
-0.055373214185237885,
0.7926192283630371,
0.597294807434082,
-0.5734243988990784,
-0.7371686100959778,
0.5903900861740112,
-0.16239753365516663,
0.08681713044643402,
... |
In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example Input: Tweet: Barbecue is done. Now it's study time No more... | yes
| 3 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-0.9060056209564209,
-0.021733997389674187,
0.5826926231384277,
0.4808725416660309,
-0.10479766130447388,
-0.6762340068817139,
-0.009773151017725468,
0.29281166195869446,
0.15051297843456268,
0.32220956683158875,
-0.5430991649627686,
-0.6266643404960632,
-0.4736492335796356,
-0.65135246515... |
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.
[Q]: Cook frozen broccoli, following package directions., Drain. Cook onion in salted water until tender., Drain., In saucepan, melt 2 t... | Cream Cheese, Cheese, Pepper, Lager, Greek Yogurt
| 5 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.6510210037231445,
0.11049936711788177,
0.21670185029506683,
1.3374384641647339,
0.032923318445682526,
-0.013127615675330162,
0.5308949947357178,
1.3366060256958008,
-0.10113197565078735,
-0.013621058315038681,
-0.23382462561130524,
-0.19124862551689148,
-0.38304755091667175,
-0.227746501... |
Instructions: 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... | 4, 5. | 3 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
0.3716818690299988,
0.8341500759124756,
0.17322373390197754,
0.021219786256551743,
0.45928990840911865,
-0.8228517770767212,
0.19002965092658997,
0.6085214018821716,
0.8015124797821045,
0.09740884602069855,
-1.1387859582901,
0.29567816853523254,
-0.8889110684394836,
-0.15875184535980225,
... |
This task is about translating a given Yoruba language sentence to English.
Q: Ohun tí a bá máa jẹ a kì í fi runmú.
A: | One does not sniff at what one will eventually eat anyway. | 4 | NIv2 | task1686_menyo20k_translation | zs_opt | [
0.37036460638046265,
1.522337555885315,
-0.3955121636390686,
-0.29799771308898926,
-0.7893712520599365,
-0.014884423464536667,
0.06956088542938232,
0.7021011114120483,
0.0754852294921875,
-0.579655110836029,
-0.10949340462684631,
0.40895533561706543,
-0.7590270042419434,
0.7402120232582092... |
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... | None
| 7 | NIv2 | task294_storycommonsense_motiv_text_generation | fs_opt | [
-0.19821693003177643,
-0.20842714607715607,
-0.6942383050918579,
0.20683392882347107,
-0.13722679018974304,
-0.23707842826843262,
0.3063042461872101,
0.6597405076026917,
0.9403489828109741,
-0.37453824281692505,
-0.4483727812767029,
0.34185826778411865,
-0.6580085754394531,
-0.062750421464... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have on... | He also took charge during _'s 4-0 win at Anfield in 2014 and the 1-1 draw last season, when Phil Jagielka's late thunderbolt secured a 1-1 draw. | 1 | NIv2 | task301_record_question_generation | fs_opt | [
0.36335957050323486,
0.38159433007240295,
-0.21394918859004974,
0.1808108687400818,
0.07607550173997879,
-0.18382138013839722,
0.19493432343006134,
0.9289380311965942,
0.10603548586368561,
0.3223572373390198,
0.28405463695526123,
0.6354091167449951,
-0.4603070616722107,
0.1673632115125656,... |
You will be given a definition of a task first, then some input of the task.
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 ... | date | 1 | NIv2 | task027_drop_answer_type_generation | zs_opt | [
0.29061809182167053,
0.7855101823806763,
-0.4977070689201355,
0.41723397374153137,
0.3437533676624298,
-1.230198621749878,
0.20655103027820587,
-0.238266259431839,
-0.06435072422027588,
0.18797358870506287,
0.7164486646652222,
0.2189851552248001,
-0.4970899820327759,
-0.40858063101768494,
... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Problem:Arte pode criar uma analogia.
Solution: | L'arte può creare un'analogia. | 8 | NIv2 | task1280_ted_translation_pt_it | zs_opt | [
-0.25622621178627014,
1.2670469284057617,
0.06888289749622345,
0.44475582242012024,
-0.1675359606742859,
-0.11365298926830292,
0.09281444549560547,
0.7265850305557251,
0.1531873494386673,
-0.36935144662857056,
-0.42137715220451355,
-0.022104069590568542,
-0.20776019990444183,
0.36246320605... |
Detailed Instructions: You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed ... | After working a long shift, PersonX took a nap while PersonY did not so _ was refreshed. | 8 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.37338221073150635,
0.7882264256477356,
-0.02187126874923706,
-0.033270031213760376,
-0.24666845798492432,
-0.000280928798019886,
1.0156731605529785,
0.7096679210662842,
-0.44980812072753906,
-0.07613017410039902,
-0.4270801246166229,
-0.19528993964195251,
-0.8619130849838257,
-0.15582469... |
Q: Given a paragraph about movies 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 pre... | Yes | 7 | NIv2 | task1442_doqa_movies_isanswerable | zs_opt | [
-0.40945807099342346,
0.3835654854774475,
0.12279863655567169,
0.2394682615995407,
-0.16746637225151062,
-0.04105571657419205,
1.0702406167984009,
0.04934745281934738,
0.2625100314617157,
-0.2970333993434906,
0.27915751934051514,
0.23382750153541565,
-0.6776673793792725,
0.8308143019676208... |
You will be given a definition of a task first, then some input of the task.
You are given a list of queries separated by new line. Your job is to answer with the query that is the most well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
How is timber grown harvested and milled ... | What dishes do christians eat ? | 1 | NIv2 | task675_google_wellformed_query_sentence_generation | zs_opt | [
-0.237568199634552,
0.417230486869812,
-0.331031858921051,
0.11343018710613251,
-0.37367814779281616,
-0.04456857591867447,
0.05980852246284485,
-0.1025957316160202,
-0.1624097228050232,
0.2040746957063675,
-0.14509350061416626,
-0.12355154752731323,
-0.39771634340286255,
-0.00273716263473... |
Compose a new way to ask the same question. The new question must be asking the exact same thing as the original question does. Without any other information, you should be able to tell that the original question and the new question are the same. Preserve bracketed phrases in your new question. You can change the rest... | What color is shared by both the [Los Angeles Lakers] and [Marble] | 6 | NIv2 | task402_grailqa_paraphrase_generation | fs_opt | [
0.47266703844070435,
-0.00046057882718741894,
-0.3717772960662842,
0.13187256455421448,
-0.08227594941854477,
-0.39435523748397827,
-0.4007798433303833,
0.5098893046379089,
-0.08526531606912613,
-0.20551399886608124,
-0.23161879181861877,
0.7548684477806091,
-0.6198922395706177,
0.08607733... |
Detailed Instructions: In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation ... | weakener | 8 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.056575708091259,
0.6131447553634644,
-0.25869590044021606,
0.44860637187957764,
-0.0586773082613945,
-1.0739926099777222,
0.6277857422828674,
1.2198647260665894,
0.3251529037952423,
-0.5504754781723022,
-1.2540208101272583,
0.146406888961792,
-0.7370471954345703,
-0.18954485654830933,
... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to u... | I have a date with grandpa today >Causes/Enables> Grandpa is picking me up at noon
| 0 | NIv2 | task614_glucose_cause_event_detection | fs_opt | [
-0.4813600778579712,
0.4435017704963684,
-0.5496000051498413,
0.30860286951065063,
-0.392499715089798,
-0.7912662029266357,
0.11978792399168015,
0.7177774906158447,
-0.4086117446422577,
-0.09662283957004547,
-0.11094591021537781,
0.3533119559288025,
-0.39003026485443115,
0.0183504708111286... |
Teacher:This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a... | SIMILAR | 6 | NIv2 | task1408_dart_similarity_classification | zs_opt | [
-0.5196820497512817,
-0.16714680194854736,
0.06375770270824432,
-0.4395464062690735,
0.03046754188835621,
-0.02051297202706337,
0.9730727076530457,
0.5851941108703613,
0.2792326509952545,
0.2014397531747818,
-0.41584739089012146,
-0.7018787860870361,
-0.4931287467479706,
0.2629529237747192... |
In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
Q: I saw a car race at the opera hall.
I saw a conc... | second
****
| 4 | NIv2 | task291_semeval_2020_task4_commonsense_validation | fs_opt | [
0.01408386044204235,
0.381063848733902,
-0.4511396288871765,
-0.000002735760062932968,
-0.033077746629714966,
-0.7270491719245911,
-0.18946871161460876,
0.574844479560852,
0.2768236994743347,
-0.11437475681304932,
-0.4562571346759796,
-0.39261460304260254,
-0.4228511154651642,
-0.050817329... |
Definition: Given a question, generate a paraphrase of that question wihout changing the meaning of it. Your answer should reword the given sentence, but not add information to it or remove information from it. The answer to your question should be the same as the answer to the original question.
Input: Question: what ... | what mountain range is on the border between europe from asia? | 2 | NIv2 | task442_com_qa_paraphrase_question_generation | zs_opt | [
0.5391661524772644,
0.4356427788734436,
-0.018769903108477592,
-0.21261075139045715,
-0.6673028469085693,
-0.5014175176620483,
0.773798406124115,
0.46013665199279785,
0.4722402095794678,
-0.5670860409736633,
-0.625802218914032,
0.24439853429794312,
-0.8210458755493164,
0.5686969757080078,
... |
Teacher:Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
Teacher: Now, understand the problem? Solve this instance: English sentence: 9:23 And when he sent you from Kadesh-barnea, saying, ‘Ascend and possess the land, which I have given ... | 9:23 Oo markuu aad ka diray Qaadeesh Barneeca, oo wuxuu ku yidhi, 'Kori oo hantiya dalkii, oo aan siiyey inaad,'Sidaas oo, aad nacday, amarkii Rabbiga Ilaahiinna ah, oo ma aad u rumaysataan, mana ahayn in aad diyaar u ah inay aad codkiisa maqashaan. | 6 | NIv2 | task446_opus_paracrawl_en_so_translation | zs_opt | [
-0.3644959330558777,
1.3498973846435547,
-0.13894708454608917,
-0.9616869688034058,
-0.4761762022972107,
-1.2791844606399536,
0.9026749134063721,
0.20086254179477692,
-0.2548074722290039,
0.1576727330684662,
-0.023752361536026,
0.9000423550605774,
-1.6087772846221924,
-0.17300060391426086,... |
instruction:
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.
question:
Context: Alex's powers were not as strong since ... | Yes
| 9 | NIv2 | task579_socialiqa_classification | fs_opt | [
0.052988093346357346,
0.0680730938911438,
0.16183608770370483,
-0.12426768243312836,
-0.009813525713980198,
-0.3760266602039337,
0.7025718092918396,
0.9986052513122559,
-0.2328147292137146,
-0.017570316791534424,
0.15938016772270203,
0.03937206044793129,
-0.5563267469406128,
-0.21506036818... |
Definition: In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". The que... | Question: With who did the surviving mob bosses make a deal?, Answer: Zasa | 2 | NIv2 | task182_duorc_question_generation | zs_opt | [
1.1522579193115234,
0.49012964963912964,
-0.26857122778892517,
0.48300760984420776,
0.5822389721870422,
-0.023671220988035202,
0.8202807903289795,
0.7739148736000061,
0.38013187050819397,
0.27980169653892517,
0.5746500492095947,
0.39932894706726074,
-0.4822083115577698,
0.42505258321762085... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.... | DET
| 1 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.3827105164527893,
0.24167299270629883,
-0.31366050243377686,
0.3749275207519531,
0.06990864127874374,
-0.47846728563308716,
0.4410073161125183,
0.8531666994094849,
-0.5550553798675537,
-0.07594131678342819,
-0.7489843964576721,
0.23628726601600647,
-0.7350661754608154,
0.1091254800558090... |
Detailed Instructions: A text is given in Hindi. Translate it from the Hindi language to the Panjabi language. The translation must not omit or add information to the original sentence.
Problem:क्या कोई रोडमैप तैयार किया?
Solution: | ਕੀ ਕੋਈ ਰੋਡਮੈਪ ਤਿਆਰ ਕੀਤਾ ? | 8 | NIv2 | task1011_pib_translation_hindi_punjabi | zs_opt | [
0.14685948193073273,
0.3939359188079834,
0.3350867033004761,
0.1698516607284546,
-0.35959315299987793,
-0.7737278342247009,
0.7941473722457886,
-0.11593111604452133,
-0.5667486190795898,
0.0558193176984787,
-0.668057918548584,
-0.9478025436401367,
-0.11084531992673874,
0.03807207942008972,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Example: A fines del verano estamos instalando el primer lote de computadoras y ayudando al Dr. Zullinger a desarrollar estrategias para poder conectar el aula y el hogar y extender el aprendizaje más allá del día escolar.
E... | Solution: وذلك يعيد الطاقة الى الأسفل من خلال السلك. | 5 | NIv2 | task1228_ted_translation_es_ar | fs_opt | [
-0.6581763625144958,
0.6694846749305725,
-0.17895475029945374,
-0.15444549918174744,
-0.5723651647567749,
-0.5211014747619629,
1.1797789335250854,
0.8663148880004883,
-0.16462451219558716,
-0.16222354769706726,
-0.21269461512565613,
0.4188404977321625,
-0.7626180648803711,
-0.0867967903614... |
Given the task definition and input, reply with output. In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Independence with Partition: The British began to see ... | No | 5 | NIv2 | task1392_superglue_multirc_answer_verification | zs_opt | [
0.718570351600647,
0.2882816791534424,
-0.4728725552558899,
0.06080109626054764,
-0.211883082985878,
-0.6662963032722473,
0.7215434908866882,
0.45525112748146057,
0.09074375033378601,
0.2508772909641266,
0.15749770402908325,
0.4553905129432678,
-0.6661864519119263,
0.19150759279727936,
-... |
Detailed Instructions: "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of ... | Response 2 | 9 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | zs_opt | [
0.06313122808933258,
0.3914031982421875,
0.5110567808151245,
-0.05140332877635956,
0.022158794105052948,
-0.6032259464263916,
-0.16167375445365906,
0.6900683641433716,
0.07176252454519272,
0.15252238512039185,
-0.5857716798782349,
0.1645272970199585,
-0.4603477120399475,
-0.001736634643748... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
One example: Egypt (similar results in Jordan)
Solution is here: مصر (با نتایجی مشابه در اردن)
Explanation: This is a good example. The above sentence is correctly translated from English to Persian.
Now, solve this: Phot... | عکس انتشار یافته در توئیتر جیشالعدل | 6 | NIv2 | task663_global_voices_en_fa_translation | fs_opt | [
-1.1561002731323242,
0.6761935949325562,
-0.4215564727783203,
-0.8322129249572754,
-0.8952808976173401,
0.1939818263053894,
1.2132564783096313,
0.3596498370170593,
0.23952674865722656,
-0.13263249397277832,
-0.544530987739563,
0.7174734473228455,
-0.777085542678833,
0.52708899974823,
0.0... |
Detailed Instructions: In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
Problem:استیون پال جابز (زادهٔ ۲۴ فوریهٔ ۱۹۵۵ – درگذشتهٔ ۵ ... | False | 8 | NIv2 | task396_persianqa_classification | zs_opt | [
-0.2641093134880066,
0.3030385971069336,
0.04661466181278229,
0.7910774946212769,
-0.7957736253738403,
0.33396321535110474,
0.38386037945747375,
0.04214291274547577,
0.5633269548416138,
0.4947509765625,
-0.33513015508651733,
1.0177912712097168,
-0.5011522173881531,
0.11124751716852188,
0... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
One example: و آنگاه آنها کُد می نوشتند ، معمولا کُد های ماشینی ، و گاهی کُد های صفر و یکی ، که سپس با پست به مرکز داده ها فرستاده می شد که روی چسب کاغذی یا کارتی منگنه شود و بعد دوباره حک شود تا مورد بازبینی قرار گیرد.
Soluti... | والآن ، ما تشاهدونه هنا ، نحن على ارتفاع 4500 متر في جبال الأنديز ، ولكن في الحقيقة نحن على بعد أقل من مليار سنة بعد تشكيل كوكبي الأرض والمريخ. | 6 | NIv2 | task1268_ted_translation_fa_ar | fs_opt | [
-0.5831868648529053,
0.5137844085693359,
-0.4927750825881958,
-0.6047787070274353,
0.08731618523597717,
0.05520997196435928,
1.1387004852294922,
0.16025960445404053,
0.09920088946819305,
-0.13776689767837524,
-0.9806822538375854,
-0.09763365238904953,
-0.4731948971748352,
0.624863207340240... |
Teacher:In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be les... | 70397601z18079473W9489XYKa | 6 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.6891473531723022,
0.7983629703521729,
-0.1438206434249878,
-0.9211288094520569,
-0.08494480699300766,
-0.6880651116371155,
0.4496510624885559,
0.05890800058841705,
-0.23940235376358032,
0.3175537586212158,
-0.7564424276351929,
-0.35632315278053284,
-0.15456314384937286,
-0.1635562926530... |
Instructions: The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the twee... | upon successfully destroying europe and establishing berlin seat of european communist aka jew | 3 | NIv2 | task1504_hatexplain_answer_generation | zs_opt | [
-0.7622492909431458,
1.5681511163711548,
-0.11754700541496277,
0.8949712514877319,
-0.8159211874008179,
-0.5085270404815674,
0.4341745972633362,
0.3530200123786926,
0.854732871055603,
0.18938976526260376,
-0.13949671387672424,
0.46172234416007996,
-0.292354941368103,
-0.13279591500759125,
... |
You will be given a definition of a task first, then some input of the task.
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Person1: Is everything ready for the Chri... | 1 | 1 | NIv2 | task1534_daily_dialog_question_classification | zs_opt | [
0.22349661588668823,
0.3847450017929077,
-0.09655892103910446,
-0.1992446482181549,
0.4054074287414551,
-0.17695698142051697,
1.1935700178146362,
0.44822216033935547,
-0.49702709913253784,
-0.060060277581214905,
0.044159699231386185,
-0.22307172417640686,
-0.39602482318878174,
0.0593312755... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
[EX Q]: Controlan las larvas de mosquito, entre otras cosas.
[EX A]: בין היתר, הן מווסתות את התרבות זחלי היתושים.
[EX Q]: Este kimono se tuvo que dibujar prácticamente a mano usando como guía las áreas cuyo color y detalle... | אז בואו נהייה קצת יותר אופטימיסטים ונגיד, מה אם כל מדינה תשתפר קצת בלהפוך את העושר שלה לרווחה?
| 6 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-1.0934040546417236,
0.5076682567596436,
0.2726891040802002,
-0.6429517269134521,
0.029401786625385284,
-0.5007988214492798,
-0.07076413929462433,
0.3286985158920288,
-0.2941363453865051,
-0.4799022972583771,
-0.6473178267478943,
0.01766311563551426,
-0.7891581058502197,
0.2213580459356308... |
instruction:
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or uniden... | Unidentifiable
| 9 | NIv2 | task350_winomt_classification_gender_identifiability_pro | fs_opt | [
-0.9713127613067627,
0.44764265418052673,
-0.16294538974761963,
-0.11407257616519928,
0.193132683634758,
-0.262785941362381,
-0.4539942145347595,
1.0960497856140137,
0.2990441620349884,
0.12556487321853638,
-1.002578854560852,
0.07660879194736481,
-0.4624439775943756,
-0.33269575238227844,... |
Teacher: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.
... | heart PartOf organ | 6 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
0.5329316854476929,
1.0950915813446045,
0.26553452014923096,
-0.27954360842704773,
-0.43443647027015686,
-1.1582062244415283,
0.7344241142272949,
0.09725666046142578,
0.055166758596897125,
-0.7259200215339661,
-0.42802029848098755,
-0.13176333904266357,
-0.8266966342926025,
0.2891555726528... |
Teacher:You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
Teacher: Now, understand the problem? Solve this instance: ライブが人気を博すようになるとキャパ的理由から音響的に地上最悪のスタジアムやバスケットボールアリーナホッケーアリーナなどで演奏する羽目になります
Student: | Shows ao vivo, quando de enorme sucesso, acabavam provavelmente nos lugares de pior acústica do planeta: estádios desportivos, arenas de basquete e de hóquei. | 6 | NIv2 | task1099_ted_translation_ja_pt | zs_opt | [
0.6698666214942932,
0.566839873790741,
-0.19845125079154968,
-0.623316764831543,
-0.5600858926773071,
-0.579936146736145,
-0.8534282445907593,
0.355803519487381,
0.1282787024974823,
0.21815979480743408,
-0.4535462260246277,
0.12720444798469543,
-0.9595370888710022,
-0.11570556461811066,
... |
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 | 4 | NIv2 | task1187_politifact_classification | zs_opt | [
-0.0451204851269722,
0.4696134328842163,
-0.24251925945281982,
-0.2763885259628296,
-0.6656990647315979,
-0.3971162736415863,
0.7820608615875244,
0.02952570468187332,
0.5628157258033752,
-0.15490198135375977,
-0.5468007326126099,
0.19155408442020416,
-0.8931448459625244,
0.1639992296695709... |
Given the task definition and input, reply with output. In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: the wages earned by robin is 30 % more than that earned by erica . the wages earned by charles is 60 % more t... | b | 5 | NIv2 | task1420_mathqa_general | zs_opt | [
0.1772834062576294,
0.7657732963562012,
0.31445837020874023,
-0.40099191665649414,
-0.2738945484161377,
-0.22443142533302307,
0.6783434748649597,
0.73598313331604,
0.6845589876174927,
-0.27823910117149353,
0.002195526147261262,
0.05742885544896126,
0.09279368817806244,
-0.20783773064613342... |
Instructions: You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Input: I am glad I don't go to Las Vegas much....it would be even fatter!\n\nWe wend for brunch (11am) and got right in. Food was incredible. It seemed that every dish was uniquely made to order... | 5 stars | 3 | NIv2 | task1292_yelp_review_full_text_categorization | zs_opt | [
0.007857673801481724,
0.11592976748943329,
-0.20988158881664276,
0.15111279487609863,
0.02136646956205368,
-0.19336074590682983,
0.055988412350416183,
0.6199735403060913,
0.40646663308143616,
-0.18875370919704437,
0.12764915823936462,
-0.3150103688240051,
-0.7078182697296143,
0.23425434529... |
Instructions: In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
Inp... | 0 | 3 | NIv2 | task1445_closest_integers | zs_opt | [
-0.6833171248435974,
0.6176789999008179,
0.17553779482841492,
-0.32505565881729126,
-0.2352498471736908,
-0.3797026574611664,
0.3417825698852539,
0.25597119331359863,
0.5994837284088135,
-0.0363767184317112,
-0.5078567862510681,
-0.5795815587043762,
-0.4387929141521454,
0.07765156030654907... |
Teacher: You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Teacher: Now, understand the problem? If you are still confused, see the following example:
Statement: उत... | भारताच्या | 2 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
0.16691377758979797,
0.092002734541893,
0.007861308753490448,
-1.0813950300216675,
-0.5660496950149536,
-0.6546674966812134,
0.06957779824733734,
0.5954777002334595,
-0.6454845070838928,
0.2521790564060211,
0.14483070373535156,
0.5270566940307617,
-0.2895536720752716,
-0.3769427537918091,
... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'informal'... | Output: informal
| 2 | NIv2 | task1533_daily_dialog_formal_classification | fs_opt | [
-0.10090181231498718,
0.16234366595745087,
0.3017505705356598,
-0.36726832389831543,
-0.14668148756027222,
-0.2647315263748169,
0.35410499572753906,
-0.09293332695960999,
-0.12216754257678986,
-0.06177397444844246,
-0.44920414686203003,
-0.283695250749588,
-0.21039986610412598,
0.174514621... |
You will be given a definition of a task first, then some input of the task.
In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes... | Inversion | 1 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.6474846601486206,
-0.07003828883171082,
0.8907628059387207,
0.2728184461593628,
-0.054664965718984604,
-0.34692198038101196,
0.19893977046012878,
0.798292338848114,
0.10859378427267075,
-0.09167653322219849,
-0.8773935437202454,
-0.329331636428833,
0.045186445116996765,
-0.5863938927650... |
In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
Input: Consider Input: i live in philadelphia pa and i m pretty sure if he said you were just under and drove you home he was feeling sympa... | Output: sadness
| 2 | NIv2 | task875_emotion_classification | fs_opt | [
-0.31509020924568176,
-0.05149761959910393,
0.8141556978225708,
-0.19439882040023804,
0.18261423707008362,
-0.34112316370010376,
0.625603973865509,
0.7648835182189941,
0.27022784948349,
-0.05852322280406952,
-0.5992774963378906,
-0.04228958860039711,
-0.5992869138717651,
-0.520689547061920... |
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.
Intanto, i nostri bambini trans soffrono.
Output: | W międzyczasie cierpią transseksualne dzieci. | 1 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
-0.21223503351211548,
0.7032350897789001,
-0.834800124168396,
0.19775208830833435,
-0.2961078882217407,
0.3504941463470459,
0.472143292427063,
-0.029897522181272507,
0.2020002007484436,
-0.09123935550451279,
-0.38256824016571045,
0.253033846616745,
-0.28986066579818726,
0.6033748388290405,... |
In this task, you will be presented with a question having multiple possible answers in French language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Example Input: Question: Où puis-je trouver un steakhouse avec vue sur les canyons ?
Options: A... | D
| 3 | NIv2 | task1136_xcsr_fr_commonsense_mc_classification | fs_opt | [
0.5428069829940796,
0.7019494771957397,
-0.20726093649864197,
-0.12121333181858063,
0.1851917803287506,
-0.16007083654403687,
0.7679033279418945,
0.22893768548965454,
0.23553283512592316,
-0.08280616998672485,
-0.1999344527721405,
0.25005269050598145,
0.11804318428039551,
-0.70628589391708... |
Given a paragraph about movies 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 prefix... | Yes | 0 | NIv2 | task1442_doqa_movies_isanswerable | zs_opt | [
0.2548317313194275,
0.2946212887763977,
-0.01851636730134487,
-0.15559202432632446,
-0.5306184887886047,
-0.1977587193250656,
1.2498962879180908,
0.38995474576950073,
-0.07790717482566833,
-0.24006637930870056,
0.21734149754047394,
-0.10175710916519165,
-0.8082244396209717,
0.6070410609245... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
Example input: Context: Our prayers are wi... | no | 3 | NIv2 | task242_tweetqa_classification | fs_opt | [
-0.8013644218444824,
0.4713717997074127,
0.5416378974914551,
-0.1220707967877388,
0.08697846531867981,
-0.19152197241783142,
0.4491739273071289,
0.5612896680831909,
0.5243608951568604,
0.4088972806930542,
-0.33984702825546265,
-0.0902349203824997,
-0.26459944248199463,
-0.39118921756744385... |
Given the task definition and input, reply with output. You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
System Reference: the phone number for source is 4158649000... | 1 | 5 | NIv2 | task1283_hrngo_quality_classification | zs_opt | [
-1.3178449869155884,
1.016411542892456,
-0.24463066458702087,
-0.2926707863807678,
-0.1982373297214508,
-0.9585052132606506,
0.8807188868522644,
-0.20955002307891846,
-0.16044177114963531,
-0.20843809843063354,
-0.898389995098114,
0.28422027826309204,
-0.39667028188705444,
-0.1276895701885... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes | 0 | NIv2 | task1201_atomic_classification_xintent | zs_opt | [
0.2555558979511261,
0.1788015514612198,
0.5072802901268005,
-0.11817033588886261,
-0.5058541297912598,
-0.6461402177810669,
1.4288818836212158,
0.28504642844200134,
-0.3601338267326355,
-0.24260354042053223,
-0.48484379053115845,
-0.44565045833587646,
-0.9377004504203796,
0.464271008968353... |
Given the task definition and input, reply with output. You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Lo que se destaca del Brexit es la brecha entre la percepción pública y la realidad empírica.
| Quello che emerge dalla Brexit è il divario tra percezione pubblica e realtà empirica. | 5 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
-0.4079585075378418,
0.8575458526611328,
0.4035896360874176,
-0.14504460990428925,
-0.05308764800429344,
-0.8736721277236938,
-0.42153823375701904,
0.721460223197937,
0.18982432782649994,
-0.3181549608707428,
-0.3303135335445404,
0.8382494449615479,
-0.5469876527786255,
0.4329705238342285,... |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Yo... | Output: We could not agree on a car style.
| 2 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
0.4866088628768921,
0.5132622718811035,
0.10232074558734894,
0.12257730215787888,
-0.31709179282188416,
-0.44987374544143677,
0.46807724237442017,
0.3639792203903198,
-0.1643688976764679,
-0.5940677523612976,
-0.7798668146133423,
0.6767038106918335,
-0.5578714609146118,
-0.3343577980995178... |
Q: Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
それはまた、一つの窓口でそういったネットワークを承認するシステムとし、必要な許可を3ヵ月以内に与えることを保証するよう提案した。
A: | ស្ថាប័ននេះ ក៏បានស្នើអោយមានប្រព័ន្ធច្រកចេញចូលតែមួយ ដែលអាចអនុញ្ញាតអោយមានប្រព័ន្ធផ្សព្វផ្សាយដូចនេះ ជាមួយការធានាថាការច្រកចេញចូលតែមួយតំរូវអោយមាន នឹងត្រូវបានផ្តល់អោយក្នុងកំឡុងពេលបីខែ។ | 7 | NIv2 | task1121_alt_ja_khm_translation | zs_opt | [
-0.3296409249305725,
-0.01151312980800867,
0.09582027047872543,
-0.6230841875076294,
0.2700244188308716,
-0.4147352874279022,
0.435124009847641,
-0.16974127292633057,
-0.5121318101882935,
0.06571899354457855,
-0.6422399282455444,
0.34881383180618286,
-0.2567577362060547,
0.4010165333747864... |
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 any ... | PersonX made a lot of enemies in life but PersonY did not. _ was always happy.
| 7 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
0.8451746702194214,
0.3305061161518097,
-0.21749067306518555,
0.03783097118139267,
0.5996044874191284,
-0.979271411895752,
1.5990512371063232,
0.7451783418655396,
-0.3630158007144928,
-0.8170715570449829,
-0.19151759147644043,
0.0626785159111023,
-0.7568612098693848,
0.6208838820457458,
... |
Part 1. Definition
The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
Part 2. Example
name[xname], cuisine[Fast Food], rating[average], familyFriendly[yes], near[xnear]
Answer: Located near xnear, x... | xname is the best restaurant with good food. | 7 | NIv2 | task1598_nyc_long_text_generation | fs_opt | [
-0.6997939944267273,
0.6622856855392456,
-0.6386436223983765,
-0.3669196367263794,
-0.1801077425479889,
0.13744115829467773,
1.2528574466705322,
0.2905441224575043,
0.22146889567375183,
-0.4980214834213257,
0.11034484207630157,
-0.12791754305362701,
-0.7027075290679932,
-0.0362184941768646... |
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.
--------
Questio... | Trees
| 7 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
0.7542141079902649,
0.9922300577163696,
0.37530672550201416,
-0.6039108037948608,
-0.014969894662499428,
-0.7491358518600464,
0.9023554921150208,
0.39248427748680115,
-0.09897807240486145,
-0.3194640278816223,
-0.47960540652275085,
-0.07150862365961075,
-1.2443468570709229,
0.3837588429450... |
Definition: In this task, you are given a year. You need to check if it is a leap year or not. A year may be a leap year if it is evenly divisible by 4. Years that are divisible by 100 (century years such as 1900 or 2000) cannot be leap years unless they are also divisible by 400. Return 1 if it is a leap year, else re... | 1 | 2 | NIv2 | task1332_check_leap_year | zs_opt | [
-0.9116225838661194,
1.3871862888336182,
-0.1996058225631714,
0.46903857588768005,
0.29480618238449097,
-0.32619354128837585,
0.055799178779125214,
0.690531849861145,
-0.08757950365543365,
-0.12057723104953766,
-0.10594034194946289,
0.20384803414344788,
-0.43187278509140015,
-0.23977589607... |
You will be given a piece of text either about an everyday event, or a general statement. If the event seems a plausible event to you, or the general statement makes sense matches your commonsense, output 'True', otherwise output 'False'.
Example: The glass fell of a three-story building, so it broke into pieces.
Examp... | Solution: False | 5 | NIv2 | task116_com2sense_commonsense_reasoning | fs_opt | [
-1.0311065912246704,
0.6116578578948975,
-0.49938535690307617,
-0.2546037435531616,
-0.2443770468235016,
-0.9417313933372498,
0.25303730368614197,
0.5852980017662048,
0.16913661360740662,
0.0037394913379102945,
-0.6140363812446594,
0.013479059562087059,
-0.24708028137683868,
0.310451865196... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in German, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
Die NBA-Saison 1975 - 76 war die 3... | Kevin Lepage comenzó tercero, Terry Labonte cuarto, y Robby Gordon calificó quinto. | 0 | NIv2 | task804_pawsx_german_spanish_translation | fs_opt | [
-0.27670395374298096,
-0.3571870028972626,
-0.09985341876745224,
0.21770721673965454,
0.27229493856430054,
-0.4463772773742676,
1.0756078958511353,
0.5955500602722168,
0.28596216440200806,
0.4966254234313965,
-0.13214075565338135,
0.8074347972869873,
-0.9190893173217773,
-0.065126568078994... |
Detailed Instructions: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
Problem:['E', 'A', 'h', '8761', '9203', '3291', 'L', '... | 16 | 8 | NIv2 | task504_count_all_alphabetical_elements_in_list | zs_opt | [
-0.06269312649965286,
0.009366066195070744,
0.43765854835510254,
-0.20891603827476501,
-0.06699866056442261,
-0.5080989599227905,
0.6606484651565552,
-0.26224252581596375,
-0.953296422958374,
0.06810985505580902,
-0.6057531833648682,
0.14826904237270355,
0.43837249279022217,
-0.35411125421... |
Given the task definition and input, reply with output. 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. Chai... | Cell division is by mitosis . | 5 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
0.18878048658370972,
0.7250787019729614,
-0.6251730918884277,
-0.1754704862833023,
-0.44320961833000183,
-1.0252946615219116,
-0.08063116669654846,
0.928661048412323,
-0.1774182766675949,
0.011207482777535915,
-1.1185784339904785,
0.6420143842697144,
-0.673372209072113,
0.30998972058296204... |
Detailed Instructions: You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Q: Statement: પારડી વાઘા <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના સુરત જિલ્લાના બાર... | ભારત | 9 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
0.22440053522586823,
0.8216947317123413,
0.09505616128444672,
-0.15809017419815063,
-0.30749398469924927,
-0.7928968071937561,
0.5420234203338623,
1.2202380895614624,
-0.17545711994171143,
-0.3520548939704895,
-0.6020243167877197,
0.2000858187675476,
0.13270317018032074,
-0.506979048252105... |
Instructions: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question... | white pepper powder and back vinegar | 3 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
0.3477655053138733,
0.4911796450614929,
0.25919800996780396,
-0.030793901532888412,
-0.293283611536026,
-0.6321086883544922,
1.074059009552002,
1.2781708240509033,
-0.5183326005935669,
0.1477290391921997,
0.37085843086242676,
0.04080621898174286,
-0.8064208030700684,
0.2511705458164215,
... |
The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
ఒక ప్రారంభ కోసం చూడండి.
Look for an opening.
మీ ఆయుధం డ్రాప్.
Drop your weapon.
ఆ డబ్బు బదిలీలు ఉంటాయి.
| Those are money transfers.
| 0 | NIv2 | task1324_open_subtitles_te_en_translation | fs_opt | [
0.05823107063770294,
1.0020333528518677,
0.3431450128555298,
0.485657662153244,
0.14191359281539917,
-0.3665553033351898,
0.8830594420433044,
0.04172427952289581,
0.3998596668243408,
-0.7121837139129639,
-0.544343888759613,
-0.17122334241867065,
-1.405179738998413,
0.2961837649345398,
0.... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Q: Díxenlle que acabara de ler a novela (Risas) e que era unha mágoa que os xoves estadounidenses fosen asasinos en serie. (Risas)
A: | Io gli ho detto che avevo appena letto un romanzo (risate)... e che era una vera vergogna che i giovani americani fossero serial killer. (risate) | 9 | NIv2 | task1243_ted_translation_gl_it | zs_opt | [
-0.2348920702934265,
0.5199522972106934,
0.5050185322761536,
-0.5972923040390015,
-0.6484177112579346,
-1.0708364248275757,
0.7852843999862671,
0.6191930770874023,
-0.049717023968696594,
-0.37016791105270386,
-0.3631064295768738,
0.0007647804450243711,
-0.4471120238304138,
-0.2855893671512... |
Instructions: Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Input: English sentence: 13 Then Solomon came from his journey to the high place that was at Gibeon to Jerusalem, from before the tabernacle of the congregation, and reigned ov... | 13 Solomon we si n'ije ọ jeruru ebe di elu nke di na Gibeon, si n'iru ulo-ikwū nzute, biarue Jerusalem; o we buru eze Israel. | 3 | NIv2 | task452_opus_paracrawl_en_ig_translation | zs_opt | [
1.4956681728363037,
0.8442453145980835,
0.4206709861755371,
-0.684606671333313,
-0.28915664553642273,
-0.22865229845046997,
0.23856142163276672,
-0.14200732111930847,
-0.026516037061810493,
0.3689521849155426,
0.10612265765666962,
1.4820071458816528,
-1.3173828125,
-0.15570193529129028,
... |
Detailed Instructions: In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Q: OBJECTIVE Fructosamine, glycated albumin, and 1,5-anhydroglucitol (1,5-AG) are of interest for monitoring short-term glycemic control in patients with d... | Alternative Markers of Hyperglycemia and Risk of Diabetes | 9 | NIv2 | task1586_scifact_title_generation | zs_opt | [
0.2855529189109802,
-0.04850251227617264,
-0.6393731832504272,
-0.5307460427284241,
0.33653345704078674,
0.5659521222114563,
-0.028659310191869736,
0.7857213616371155,
-0.06192813441157341,
-0.050063565373420715,
-1.2074975967407227,
0.12197329103946686,
-0.8561002016067505,
-0.07509527355... |
Instructions: In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Input: Det. Joseph Lemm
One of the six Americans killed in a suicide bomb attack in Afghanistan Monday was a New York police detective serving in the U.S. Air National Guard, N... | An NYPD detective nicknamed "Superman" was among the victims of the largest attack on foreign troops in Afghanistan since August. Air National Guard Staff Sgt. Joseph Lemm, a 15-year NYPD veteran who was on his third tour overseas, was one of six people killed when a suicide bomber on a motorcycle laden with explosives... | 3 | NIv2 | task1291_multi_news_summarization | zs_opt | [
0.7358800172805786,
0.11788967251777649,
-0.5500020980834961,
-0.2520868182182312,
0.8220568895339966,
-0.08855786174535751,
0.6319602727890015,
0.8007892966270447,
-0.1426713913679123,
0.48651260137557983,
-0.39631813764572144,
0.7635467648506165,
-0.9453500509262085,
0.5601558089256287,
... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
הוא מחכה לחברה שלו. | E estamos agardando pola nosa moza. | 0 | NIv2 | task1110_ted_translation_he_gl | zs_opt | [
-1.1502262353897095,
1.0921902656555176,
0.1357118785381317,
-0.654172420501709,
0.04047141969203949,
0.1985929012298584,
0.4312077760696411,
-0.043560512363910675,
0.3979518413543701,
-0.6229429244995117,
-0.46585211157798767,
0.14771884679794312,
-0.22268864512443542,
-0.0077224476262927... |
Detailed Instructions: 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... | When driving, PersonX regularly experiences road rage, while PersonY does not because _ is calmer. | 8 | NIv2 | task035_winogrande_question_modification_person | zs_opt | [
0.6355006098747253,
-0.10148587822914124,
-0.04587039351463318,
-0.31847718358039856,
-0.03215387463569641,
-0.8638938665390015,
1.8584250211715698,
0.9384238719940186,
-0.15433770418167114,
-0.7286936044692993,
-0.2450682669878006,
0.10488264262676239,
-0.16196629405021667,
0.052371032536... |
Teacher: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 crea... | What place did Murer finish in the Olympics the year her poles were misplaced? | 6 | NIv2 | task235_iirc_question_from_subtext_answer_generation | zs_opt | [
-0.8380268216133118,
-0.12524522840976715,
-0.53831946849823,
0.46037355065345764,
-0.18566837906837463,
-0.10899761319160461,
-0.35911381244659424,
0.8176156282424927,
-0.04944367706775665,
-0.7042531371116638,
-0.5268841981887817,
0.400221586227417,
-0.2723313570022583,
-0.04667330533266... |
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