inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Given a passage as input, answer with the category to which the passage belongs. There are 5 categories - Sports and Fitness, Home and Garden, Hobbies and Crafts, Food and Entertaining, Cars & Other Vehicles. The answer should be one of the categories based on words from the passage which closely belong to the category... | Home and Garden
| 3 | NIv2 | task1630_openpi_classification | fs_opt | [
0.49968835711479187,
0.6580598950386047,
-0.32308170199394226,
0.11611072719097137,
0.3231383264064789,
-0.0016823062906041741,
0.07128257304430008,
1.0620955228805542,
-0.3177937865257263,
0.07177333533763885,
-0.4294280409812927,
0.23454533517360687,
-0.4804540276527405,
-0.0747281312942... |
Definition: In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
Input: 58821
Output: | No | 2 | NIv2 | task092_check_prime_classification | zs_opt | [
-0.5442844033241272,
0.2865796685218811,
-0.02819635346531868,
-0.3405667543411255,
-0.3302420377731323,
-0.12041884660720825,
0.5352742671966553,
0.6235158443450928,
0.35356777906417847,
0.22367289662361145,
-1.241002082824707,
-0.23793670535087585,
-0.5574696063995361,
-0.376613616943359... |
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 incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Ex Input:
Beginning: Wi... | 1
| 1 | NIv2 | task070_abductivenli_incorrect_classification | fs_opt | [
-0.16846787929534912,
0.10519470274448395,
-0.5716742277145386,
-0.18238098919391632,
-0.6409823298454285,
0.02333678863942623,
-0.16849073767662048,
1.0195244550704956,
-0.1989588588476181,
-0.053004417568445206,
-0.16785797476768494,
-0.20716284215450287,
-0.39722374081611633,
-0.3494946... |
In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
[EX Q]: Sentence1: Jim was taking out the garbage. Sentence2: He slipped o... | No
| 6 | NIv2 | task298_storycloze_correct_end_classification | fs_opt | [
0.032835256308317184,
0.27988725900650024,
-0.03999698907136917,
0.05147496610879898,
0.14732065796852112,
-0.8749860525131226,
-0.17193478345870972,
1.0186079740524292,
-0.4592168629169464,
0.32993918657302856,
-0.26029646396636963,
0.4071217179298401,
-0.5725017189979553,
0.0135957254096... |
Q: In this task, you are given a question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No".
who wrote serenity prayer, Answer: The Serenity Prayer is the common name for an originally untitled prayer by the American theologian Reinhold Niebuhr (1892–1971).
A: | Yes | 7 | NIv2 | task1294_wiki_qa_answer_verification | zs_opt | [
-0.27199989557266235,
1.1027963161468506,
-0.3693106770515442,
-0.13145631551742554,
-0.7644103765487671,
-0.5726985335350037,
0.946662187576294,
-0.29778531193733215,
0.25342196226119995,
-0.5264979004859924,
0.24779531359672546,
0.7083905935287476,
-0.5414515733718872,
-0.175387978553771... |
Detailed Instructions: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Problem:The aim of this study is to provide empirical evidence indicating that leveraging open data sources of german texts, automated... | german | 8 | NIv2 | task460_qasper_answer_generation | zs_opt | [
-0.49221956729888916,
0.7862164974212646,
0.15305417776107788,
-0.05380140244960785,
-0.699816107749939,
0.11194729804992676,
1.0901129245758057,
0.38041722774505615,
0.19647978246212006,
-0.05189387500286102,
-0.5478168725967407,
0.240787535905838,
-0.4738169014453888,
0.02707475796341896... |
You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns instead of full names. As the stories are sometimes movie plots, they will cont... | What happens after Lisa has sex with Caije? | 0 | NIv2 | task405_narrativeqa_question_generation | zs_opt | [
0.7071318626403809,
0.14827373623847961,
-0.059836775064468384,
0.00880398415029049,
0.22952339053153992,
-0.045656971633434296,
0.6078509092330933,
0.9134113192558289,
0.3246913254261017,
0.4144580364227295,
0.1043981984257698,
-0.04519130289554596,
0.33123332262039185,
0.1292916685342788... |
"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 "yes, and". Indicate yo... | Response 1
| 5 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.22701174020767212,
0.8169251680374146,
0.34914618730545044,
0.020139044150710106,
0.039144933223724365,
-0.9957697987556458,
0.1693412810564041,
0.32307615876197815,
-0.19843795895576477,
-0.28216221928596497,
-0.5027229189872742,
0.008674859069287777,
-0.6797562837600708,
-0.10485564172... |
Teacher:You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Teacher: Now, understand the problem? Solve this instance: Y para acabar, solo tengo una pregunta y creo que es la única pregunta que importa.
Student: | Estamos a acabar, tenho apenas uma pergunta para vocês. Penso que é única pergunta que realmente interessa. | 6 | NIv2 | task1104_ted_translation_es_pt | zs_opt | [
0.23829200863838196,
1.0624240636825562,
0.4000462293624878,
-0.6988332271575928,
-0.7597929835319519,
-0.3834308981895447,
-0.5017655491828918,
1.2743830680847168,
0.24416115880012512,
-0.4489927589893341,
-0.025370024144649506,
0.07588151097297668,
-0.34219539165496826,
-0.44059553742408... |
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
--------
Question: We collected tweets related to five different DDoS attacks on three different American banks. For each attack, all the tweets containing t... | widely used method for classifying misleading content is to use distant annotations, for example to classify a tweet based on the domain of a URL that is shared by the tweet, or a hashtag that is contained in the tweet Natural Language Processing (NLP) models can be used to automatically label text content
| 7 | NIv2 | task460_qasper_answer_generation | fs_opt | [
0.165001779794693,
0.25946512818336487,
-0.7610287666320801,
0.19442951679229736,
-0.04585426673293114,
-0.786347508430481,
0.8843528032302856,
0.5952942371368408,
-0.08636097609996796,
0.2990885376930237,
-0.40792787075042725,
-0.09442807734012604,
-0.08592835068702698,
0.0726119056344032... |
Teacher:In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it th... | Neutral | 6 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | zs_opt | [
-0.19068974256515503,
0.5000571012496948,
0.3682769238948822,
0.37730273604393005,
-0.2717617154121399,
-0.7164397239685059,
0.08910059183835983,
0.9782692193984985,
0.07904824614524841,
0.5597103834152222,
-0.10899637639522552,
0.20845913887023926,
-0.3540542721748352,
-0.7723186016082764... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | red_drawer
| 7 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.015098831616342068,
-0.7004969120025635,
-0.42071717977523804,
-0.3731711208820343,
-0.12309278547763824,
-0.27889472246170044,
0.14212292432785034,
0.500648021697998,
-0.013007760047912598,
-0.16341497004032135,
-0.5102465152740479,
0.33706900477409363,
-0.08356626331806183,
0.085078299... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: Consider Input: धागे के संबंध में उठाया गया यह कदम ठीक था क़्योंक... | Output: Q4 act 253 - Parliament has power to makeany law for the whole or any part of the territory of Indiafor implementing any treaty, agreement or conventionwith any other country or countries or any decision madeat any international conference, association or other body.
| 2 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
0.5022526979446411,
0.061370644718408585,
-0.21355299651622772,
0.3952300548553467,
0.3558439016342163,
-0.8381212949752808,
0.10711830854415894,
0.556121826171875,
-0.5027015209197998,
0.31449583172798157,
-0.7783924341201782,
0.1813509464263916,
-0.11607936024665833,
0.15581317245960236,... |
You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
One example is below.
Q: Although I did enjoy the food here, I was completely unimpressed (and slightly annoyed) by the overpriced margaritas. I ordered a platinum which contained \"fresh\" juice. It tasted ... | 4 stars | 9 | NIv2 | task1292_yelp_review_full_text_categorization | fs_opt | [
0.1507437825202942,
0.7637732028961182,
-0.5059878826141357,
0.059366315603256226,
-0.029889680445194244,
-1.256754755973816,
0.24108248949050903,
1.6558253765106201,
-0.11217887699604034,
-0.3367064297199249,
0.43948861956596375,
-0.04252124950289726,
-0.924929678440094,
0.23781718313694,... |
Detailed Instructions: In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answe... | Question: What is Ernesto Guevara nickname in 1952?, Answer: Fuser | 8 | NIv2 | task182_duorc_question_generation | zs_opt | [
0.636137843132019,
-0.23312944173812866,
-0.7533238530158997,
0.2789907157421112,
-0.005751460790634155,
-0.00011194823309779167,
0.47648829221725464,
1.085221290588379,
-0.14073708653450012,
-0.043862953782081604,
-0.02571306750178337,
0.19814570248126984,
0.11605939269065857,
0.051292262... |
Teacher:You are given a statement written in Hindi. 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? Solve this instance: Statement: * मध्य <MASK> के निज्नी नोवगोरोद, वोरो... | रूस | 6 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | zs_opt | [
0.21753427386283875,
0.4420793652534485,
-0.1844559907913208,
-0.39452874660491943,
-0.46372896432876587,
-0.6012976169586182,
0.6712509989738464,
0.318441778421402,
0.07291601598262787,
-0.28315502405166626,
-0.47116512060165405,
-0.27944403886795044,
-0.15909388661384583,
-0.282053053379... |
Q: You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Czego możemy się dzięki nim nauczyć?
A: | Y entonces, ¿qué se puede aprender de estos dispositivos? | 7 | NIv2 | task1258_ted_translation_pl_es | zs_opt | [
-1.3387701511383057,
1.2786753177642822,
0.27801698446273804,
-0.43926969170570374,
-0.17546601593494415,
-0.7209933400154114,
0.6360441446304321,
-0.16808971762657166,
0.5719070434570312,
-0.6764084696769714,
-0.025929603725671768,
-0.013198979198932648,
-0.5815439224243164,
0.52724897861... |
Teacher:In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
Teacher: N... | 1, 3, 6 | 6 | NIv2 | task507_position_of_all_numerical_elements_in_list | zs_opt | [
-0.24045979976654053,
0.6998306512832642,
-0.16852721571922302,
-0.4044345021247864,
0.10320703685283661,
0.12135346978902817,
0.581757664680481,
0.07285738736391068,
-0.538114070892334,
0.6484675407409668,
0.16113068163394928,
-0.30921632051467896,
-0.049581386148929596,
-0.19292160868644... |
Given the task definition, example input & output, solve the new input case.
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Example: I've read this book with much expectation, it was very boring all through out the book
Output: Negative
Review writer does... | Positive | 1 | NIv2 | task493_review_polarity_classification | fs_opt | [
0.625923216342926,
0.1412152647972107,
0.015219802036881447,
-0.16669347882270813,
1.0254170894622803,
-0.45529425144195557,
1.3097084760665894,
0.7171225547790527,
-0.2745635509490967,
0.1973528414964676,
0.17194287478923798,
-0.42466485500335693,
-0.8930656909942627,
-0.5073798298835754,... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Gujarati: એક ઇંટ સાઇડવૉક બાજુમાં... | No | 5 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-1.0464370250701904,
0.468969464302063,
0.5310145020484924,
0.710525393486023,
0.10286601632833481,
-0.9235313534736633,
-0.022230839356780052,
-0.2863050103187561,
0.05985343083739281,
-0.43899810314178467,
-0.3891385793685913,
0.5492125749588013,
-0.7010482549667358,
0.6318808197975159,
... |
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
One example is below.
Q: at the beach, name something that might protect you from sun.
A: umbrella
Rationale: Umbrella can serve ... | big ben | 9 | NIv2 | task820_protoqa_answer_generation | fs_opt | [
0.7539917230606079,
1.5858949422836304,
-0.7758916616439819,
-0.6292428970336914,
-0.7621152400970459,
-2.0310890674591064,
-0.33226722478866577,
0.780032753944397,
0.496916264295578,
0.03785290569067001,
-0.09417790919542313,
0.6365610957145691,
-0.9128816723823547,
-0.5769518613815308,
... |
In this task, you will be given two sentences separated by "because". You should decide whether the first sentence can be the result of the second sentence. If you can see a possible cause and effect relationship, answer with "plausible", otherwise answer with "not plausible".
Q: the man had lipstick on his cheek beca... | plausible
****
| 4 | NIv2 | task392_inverse_causal_relationship | fs_opt | [
-0.5024031400680542,
1.0310959815979004,
1.4886646270751953,
-1.071291208267212,
-0.41393938660621643,
-0.328812837600708,
0.2385631650686264,
0.7020502686500549,
0.5066199898719788,
-0.2547377347946167,
-0.5774403810501099,
0.21422547101974487,
-0.463079571723938,
-0.38364553451538086,
... |
In this task you will be given an answer to a question. You need to generate a question. The answer given should be a correct answer for the generated question.
Example Input: Differing in situ values have been reported for the average temperature on Mars, with a common value being − 55 ° C (218 K; − 67 ° F). Surface ... | how many states touches the boundary of madhya pradesh
| 3 | NIv2 | task519_aquamuse_question_generation | fs_opt | [
0.49685853719711304,
0.1207847073674202,
-1.099181890487671,
-0.09953276813030243,
-0.1063523218035698,
-0.7694230675697327,
0.35314512252807617,
0.3278138041496277,
-0.323761522769928,
-0.12290997058153152,
-0.24590301513671875,
0.5138327479362488,
-0.37860584259033203,
0.2871492505073547... |
Detailed Instructions: 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 fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of ... | HYPH | 9 | NIv2 | task584_udeps_eng_fine_pos_tagging | zs_opt | [
-0.1860334277153015,
0.4176437258720398,
-0.29802027344703674,
-0.00118245801422745,
-0.3644980192184448,
-0.5402299761772156,
0.9253127574920654,
0.7645972371101379,
-0.33705615997314453,
-0.13160820305347443,
-0.5286687612533569,
0.31890207529067993,
-0.6235047578811646,
-0.0153454625979... |
Q: Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 金曜日、28歳のパキスタン人ジャーナリストの遺体が、パキスタンのラホールにある彼の自宅で見つかった。
Thai: แรงงานในเท็กซัสซึ่งถูกสรุปในปี 2005 ... | No | 7 | NIv2 | task1129_alt_ja_th_answer_generation | zs_opt | [
-0.7163682579994202,
-0.6611149311065674,
0.1516851931810379,
0.3634852170944214,
0.387498676776886,
-0.1585102379322052,
0.12617239356040955,
0.33183974027633667,
-0.8455479145050049,
0.474087119102478,
-0.27707093954086304,
0.03693096339702606,
-0.36743611097335815,
0.626158595085144,
... |
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
Q: passage: Regan, who was not allowed in the house basement previously, sees her father's notes on the creatures and on his experimentation with several different ... | No | 4 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
0.5029189586639404,
0.9248338937759399,
0.019806701689958572,
0.0925055593252182,
-0.2581590414047241,
-0.6926478147506714,
1.6460256576538086,
0.5702292919158936,
0.16146689653396606,
-0.0928359404206276,
-0.3502102494239807,
-0.23431886732578278,
-0.7742980718612671,
0.07359503954648972,... |
Detailed Instructions: Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Problem:Category: military rank
Words: commander, colonel, major, general, plain
Solution: | plain | 8 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
0.29988330602645874,
0.48388203978538513,
-0.497130811214447,
-0.7472001314163208,
0.33269014954566956,
-0.4636431932449341,
0.6454823017120361,
0.4665133059024811,
0.35673922300338745,
-0.5747721195220947,
-0.7375769019126892,
-0.44772666692733765,
-1.2384450435638428,
0.24613972008228302... |
Given the task definition, example input & output, solve the new input case.
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example: These are junk! Both bulbs have burned out within a two month ... | negative | 1 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
-0.5886846780776978,
-0.11112860590219498,
-0.17169715464115143,
0.12056107074022293,
0.13812190294265747,
0.05505269765853882,
0.3734508752822876,
0.7878036499023438,
-0.8075066208839417,
0.7382844686508179,
0.027691137045621872,
0.033013567328453064,
0.24888896942138672,
-0.6033924818038... |
Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear view tow... | Neutral
| 1 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
-0.12226816266775131,
-0.058274880051612854,
0.10582378506660461,
0.7270454168319702,
0.22858449816703796,
-0.9618624448776245,
0.6019927859306335,
0.5444011092185974,
0.23948633670806885,
0.599639892578125,
-0.4437025785446167,
0.4700022339820862,
-0.5426110029220581,
-0.24684345722198486... |
Given the task definition and input, reply with output. Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
They are performing using batons. They
| are dancing and twirling, sometimes flipping. | 5 | NIv2 | task453_swag_answer_generation | zs_opt | [
0.4116666913032532,
1.593660593032837,
-0.7635911703109741,
0.3407352566719055,
0.09966737031936646,
-0.44694316387176514,
0.2139849066734314,
0.378932923078537,
0.6881537437438965,
-0.22027722001075745,
-0.597287118434906,
0.4417409598827362,
-0.13740262389183044,
-0.2676723003387451,
0... |
Detailed Instructions: Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the q... | varied life cycles. | 8 | NIv2 | task041_qasc_answer_generation | zs_opt | [
0.1369100660085678,
0.5318495035171509,
-0.8488620519638062,
-0.014313875697553158,
-0.5299777984619141,
-1.6357238292694092,
0.3935363292694092,
-0.203871488571167,
-0.045306481420993805,
-0.577847957611084,
-0.45747971534729004,
0.17475742101669312,
-0.7299076318740845,
0.276442170143127... |
Part 1. Definition
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Part 2. Example
Sentence 1: Next to the MGM Grand you will f... | yes | 7 | NIv2 | task199_mnli_classification | fs_opt | [
-0.38986682891845703,
0.28974437713623047,
0.7735227346420288,
-0.38624894618988037,
0.21589060127735138,
-0.789741039276123,
0.04959015175700188,
0.3859489858150482,
0.18996256589889526,
-0.13897253572940826,
-0.30860137939453125,
-0.9268254637718201,
-0.1900356411933899,
-0.1389728635549... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to... | Output: Cindy got a call from a grumpy old man >Causes/Enables> The man chewed her out for no reason
| 2 | NIv2 | task748_glucose_reverse_cause_event_detection | fs_opt | [
0.25159597396850586,
0.418337881565094,
-0.367756724357605,
-0.10046150535345078,
-0.5212929248809814,
-0.25667673349380493,
0.5225110054016113,
0.9232231974601746,
-0.19561505317687988,
-0.2314685583114624,
-0.20667749643325806,
0.5113627910614014,
-0.18981972336769104,
-0.247868642210960... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
See one example below:
Problem: To największa nagrywarka, jaką w życiu widzieliście.
Solution: It's sort of the biggest TiVo box you've ever seen.
Explanation: The Polish sentence is correctly translate... | So it was — I mean, I'm getting goose bumps just talking about it. | 4 | NIv2 | task1256_ted_translation_pl_en | fs_opt | [
-0.5601449608802795,
0.7571859359741211,
0.2649006247520447,
0.08444401621818542,
-0.03130286931991577,
-0.8240816593170166,
0.5448260307312012,
-0.3522406816482544,
-0.3306746780872345,
0.2110259085893631,
0.596030056476593,
0.7823154330253601,
-0.7720414400100708,
0.7510396838188171,
-... |
Q: Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence long.... | In taking on high drug prices, Trump faces a complex nemesis. | 7 | NIv2 | task1368_healthfact_sentence_generation | zs_opt | [
0.3241182863712311,
0.25256967544555664,
-0.04205143451690674,
-0.3960239589214325,
0.4978770613670349,
-0.43602269887924194,
0.5028072595596313,
1.0272681713104248,
-0.26986414194107056,
0.996639609336853,
-0.5075333118438721,
0.38980263471603394,
-0.440062940120697,
0.3001306653022766,
... |
Definition: In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Input: Swedish: Således föreslår jag att köldgränsen skall sänkas till minus fy... | Yes | 2 | NIv2 | task314_europarl_sv-en_classification | zs_opt | [
-1.1647469997406006,
0.286385178565979,
0.28640857338905334,
0.20435300469398499,
0.2631886899471283,
-1.1027092933654785,
0.8867900371551514,
0.9304555654525757,
0.26194339990615845,
-0.01502256654202938,
0.022239144891500473,
0.6717207431793213,
-0.6669129133224487,
0.3152064383029938,
... |
Detailed Instructions: In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
See one example below:
Problem: Sox - 4 is important for very early B - cell differentiation , while TCF - 1 / LEF - 1... | B . mallei | 4 | NIv2 | task1484_gene_extraction_linnaeus_dataset | fs_opt | [
-0.05230975151062012,
0.27524545788764954,
-0.5822799801826477,
-0.17677545547485352,
0.16403606534004211,
-0.7726424932479858,
0.1031794622540474,
0.5741814374923706,
0.2984890937805176,
-0.43153560161590576,
-0.41593122482299805,
-0.03593684732913971,
-0.48215463757514954,
-0.07687873393... |
You are given a statement written in Assamese. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
--------
Question: Statement: বৰ্তমান কেৱল <MASK> আৰু ম্যানমাৰতে এই প্ৰজাতিটোৰ কিছু বাছি আছে কিন্তু তাতো ইয়াৰ সং... | গুৱাহাটী
| 7 | NIv2 | task944_wiki_cloze_as_multiple_choice_question_answering | fs_opt | [
-0.09222594648599625,
0.7361301183700562,
-0.22757315635681152,
0.05276826024055481,
-0.019289080053567886,
0.11857782304286957,
0.5230400562286377,
1.035484790802002,
0.1242511197924614,
0.0063823526725173,
-0.23361068964004517,
0.6153398752212524,
0.16794392466545105,
-0.4590928554534912... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Problem:אמרנו להם, קחו רעיון אחד, כל דבר שמטריד אתכם, ביחרו שבוע אחד, ושנו את חייהם של מיליארד אנשים.
Solution: | Les planteamos que pensaran en algo, algo que les preocupara, que eligieran una semana, y que transformaran un billón de vidas. | 8 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.39600247144699097,
1.1724328994750977,
-0.33700472116470337,
-0.3694115877151489,
-0.9000715017318726,
-1.2393505573272705,
0.14841365814208984,
0.498271107673645,
0.46697938442230225,
-0.2688281238079071,
-0.24213293194770813,
0.004476228728890419,
-0.4332309663295746,
-0.5485624074935... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
One example is below.
Q: Ao longo do livro, George chama a atenção de que a sua tecnologia, a tecnologia da biologia sintética, está atualmente a acelerar a uma taxa 4 vezes superior à Lei de Moore.
A: Ora, lungo il p... | Qui è dove dobbiamo far sentire la nostra voce. | 9 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.2222539335489273,
1.216191291809082,
0.0950220376253128,
-0.22171607613563538,
-0.006660755258053541,
-0.8682016134262085,
-0.8036832809448242,
1.288283348083496,
-0.4269784092903137,
0.355487585067749,
-0.5713326334953308,
-0.09088587015867233,
-0.1922776997089386,
-0.2745909094810486,... |
Given the task definition and input, reply with output. In this task, you are to Translate German text to English
Damit wird den Aquarianern ein Geraet angeboten, das zu einer wesentlichen Erleichterung bei der Reinigung der Aquarien fuehrt und der Arbeitszeitaufwand erheblich gesenkt wird.
| This will provide the aquarist with a device that significantly simplifies the cleaning of the aquarium and significantly reduces the time and effort required. | 5 | NIv2 | task841_para_pdt_de_en_translation | zs_opt | [
-0.6286723613739014,
0.6931749582290649,
-1.0848056077957153,
-0.31034713983535767,
-0.39852291345596313,
-0.8086416721343994,
0.15417301654815674,
-0.23073384165763855,
0.32247495651245117,
-0.0013918242184445262,
0.23805254697799683,
0.18618950247764587,
-0.4711225628852844,
-0.011381431... |
Detailed Instructions: The task is to generate the correct answer for a given math problem.
See one example below:
Problem: a multiple choice test consists of 4 questions, and each question has 5 answer choices. in how many r ways can the test be completed if every question is unanswered ?
Solution: 625
Explanation: To... | 2 / 21 | 4 | NIv2 | task1726_mathqa_correct_answer_generation | fs_opt | [
0.12774355709552765,
0.6892684102058411,
0.3591892719268799,
0.21412670612335205,
-0.022892974317073822,
0.44818419218063354,
1.0711629390716553,
0.14235550165176392,
0.006902046035975218,
-0.37648168206214905,
-0.6165871620178223,
0.07459938526153564,
-0.201692134141922,
0.486220598220825... |
You will be given a definition of a task first, then some input of the task.
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 fr... | #1 return right image
#2 return tvs of #1
#3 return the number of #2
#4 return if #3 is equal to one | 1 | NIv2 | task176_break_decompose_questions | zs_opt | [
0.8579308986663818,
-0.5154849886894226,
-0.8763695955276489,
1.081287145614624,
0.6608736515045166,
-0.08892180025577545,
1.1344982385635376,
0.5821952819824219,
-0.7004444599151611,
0.3844751715660095,
-0.3104286789894104,
-0.17970430850982666,
0.26604411005973816,
0.5215043425559998,
... |
Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Filipino: Ang mga detalye ay ibinigay... | Solution: Yes | 5 | NIv2 | task1120_alt_ja_fil_answer_generation | fs_opt | [
-0.14540822803974152,
-0.45622628927230835,
-0.5610544681549072,
0.07771492004394531,
0.231795996427536,
-0.6501818895339966,
0.5207735896110535,
0.2655807137489319,
-0.20224466919898987,
-0.06651444733142853,
-0.33593982458114624,
1.1969038248062134,
-0.6681893467903137,
0.744458913803100... |
Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
the avengers | Who played 'Emma Peel' in the 1998 film 'The Avengers'? | 0 | NIv2 | task897_freebase_qa_topic_question_generation | zs_opt | [
-0.21302320063114166,
0.5435400605201721,
-0.9572799801826477,
0.6299440264701843,
-0.10164673626422882,
-0.7298644781112671,
0.7247567176818848,
-0.32170701026916504,
0.5809038877487183,
-0.589942216873169,
0.2289162576198578,
-0.9101297855377197,
-1.436051368713379,
-0.215255469083786,
... |
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
CONTEXT: Las elecciones generales de Brasil de 2006 se celebraron el domingo 1 de octubre de dicho año,... | al presidente de la república y a un nuevo parlamento, así como a los gobernadores de los estados brasileños y a sus respectivas asambleas legislativas | 0 | NIv2 | task1334_sqac_answer_generation | zs_opt | [
-0.25888192653656006,
0.4396921992301941,
-0.1654280126094818,
-0.16867807507514954,
-0.8448383212089539,
-0.3701355755329132,
-0.23725482821464539,
0.42132970690727234,
-0.6813259124755859,
0.20998615026474,
-0.572685718536377,
0.6744838953018188,
-0.055114127695560455,
-0.329865515232086... |
Given the task definition, example input & output, solve the new input case.
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... | PRT | 1 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.3842293620109558,
0.17859509587287903,
-0.22486433386802673,
0.21676082909107208,
0.1764085590839386,
-0.242313951253891,
0.45451343059539795,
0.7851179838180542,
-0.3383448123931885,
0.10458280146121979,
-0.3612375855445862,
0.31608903408050537,
-0.2625201940536499,
0.2562440037727356,
... |
Detailed Instructions: You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Q: Sentence1: Yes please. Book a table for my party of 8 for 12:45 on Monday. Sentence2: I have made your reservation, with reference #D8E6CV1X . Can I help you with a... | Answer: (A) User | 9 | NIv2 | task638_multi_woz_classification | zs_opt | [
0.7744631767272949,
0.34607574343681335,
-0.6500072479248047,
-0.20050832629203796,
-0.008988609537482262,
-0.7983547449111938,
0.9332165122032166,
1.0823755264282227,
-0.3519936800003052,
-0.12493456900119781,
0.12145347893238068,
0.19890743494033813,
-0.28238192200660706,
0.2487658560276... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns wheth... | select the rows whose format record fuzzily matches to digital download . there is only one such row in the table . the record company record of this unqiue row is deutsche grammophon . | 3 | NIv2 | task110_logic2text_sentence_generation | fs_opt | [
0.1659797728061676,
-0.0660213977098465,
-0.35413843393325806,
0.1010466143488884,
0.16206613183021545,
-0.211062490940094,
0.46687817573547363,
0.37848615646362305,
0.1331053376197815,
-0.17846378684043884,
-0.5874722003936768,
0.2190370112657547,
0.007613652385771275,
0.4048248827457428,... |
Q: In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instance as "... | False | 7 | NIv2 | task403_creak_commonsense_inference | zs_opt | [
-0.4141935706138611,
0.5082732439041138,
0.16410888731479645,
0.07342663407325745,
-0.9886199235916138,
-1.6619683504104614,
0.8760493397712708,
0.6765753626823425,
0.7231203317642212,
-0.27311640977859497,
-0.34369224309921265,
-0.2808118462562561,
-0.34303921461105347,
0.0269162915647029... |
Definition: Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be contained in the gi... | Failing grades. | 2 | NIv2 | task054_multirc_write_correct_answer | zs_opt | [
0.22356551885604858,
0.5466582775115967,
-0.5436505079269409,
-0.7850803136825562,
0.8689034581184387,
-0.12193773686885834,
0.9703580141067505,
1.0209269523620605,
-0.19607989490032196,
0.45941847562789917,
-0.28671059012413025,
0.8534393310546875,
-0.7252640128135681,
0.3376045823097229,... |
In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Let me give you an example: Jag förklarar debatten avslutad.
The answer to... | We urgently require a directive if we are to reduce these risks. | 8 | NIv2 | task312_europarl_sv_en_translation | fs_opt | [
-0.4228450357913971,
0.7609491348266602,
0.8302019834518433,
-0.8626774549484253,
-0.043525367975234985,
-0.6588362455368042,
1.12821364402771,
0.23754990100860596,
0.6323087215423584,
-0.05048762261867523,
-0.3312419056892395,
1.0983814001083374,
-0.9334099292755127,
-0.15314927697181702,... |
You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Q: Sentence1: I am planning a trip in Cambridge Sentence2: Are there any expensive restaurants in the south? Sentence3: What time and where are you departing and arriving? Sentence4: Yea, pl... | Answer: (A) User | 4 | NIv2 | task638_multi_woz_classification | zs_opt | [
0.6450092196464539,
0.46225404739379883,
-0.5379112362861633,
-0.49963340163230896,
-0.15358105301856995,
-0.43065345287323,
0.2996312975883484,
0.8135855793952942,
-0.16007313132286072,
-0.19729170203208923,
-0.01319486927241087,
-0.2116168886423111,
-0.23226474225521088,
-0.0532954595983... |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
--------
Question: Dialogue 1: 'why do you think i play bass playing the long con hey i went skydivi... | yes
| 7 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.5524985194206238,
0.2920030951499939,
0.3678019046783447,
-0.026244133710861206,
-0.15714937448501587,
0.1335427314043045,
1.3004685640335083,
0.45928245782852173,
-0.036830902099609375,
-0.0178493894636631,
-0.1718590259552002,
-0.475007027387619,
-0.20680832862854004,
-0.0618690475821... |
You will be given a definition of a task first, then some input of the task.
Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
natural
Output: | sharp | 1 | NIv2 | task1508_wordnet_antonyms | zs_opt | [
0.06364499032497406,
1.4016458988189697,
0.34173035621643066,
-0.1635960340499878,
-0.5501387715339661,
-0.2542448043823242,
-0.3723036050796509,
0.5043608546257019,
0.5767419934272766,
-0.4024258852005005,
-0.7086511850357056,
-0.8792481422424316,
-1.2357877492904663,
-0.15032538771629333... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_RIGHT I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_TURN_RIGHT I_LOOK I_TURN_LEFT I_JUMP
| 5 | NIv2 | task128_scan_structured_text_generation_command_action_short | fs_opt | [
0.3637882471084595,
0.6556577086448669,
-0.45039844512939453,
0.22295546531677246,
0.14795711636543274,
-0.31089454889297485,
0.12374851107597351,
0.29600265622138977,
-0.21998417377471924,
-0.07473403960466385,
-0.7366341948509216,
-0.26699668169021606,
-0.6247283816337585,
-0.04013720899... |
Definition: Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
Input: Revi... | False | 2 | NIv2 | task494_review_polarity_answer_generation | zs_opt | [
-0.06071765720844269,
-0.19661065936088562,
-0.19905558228492737,
0.04205518588423729,
0.1762656569480896,
-0.6557753086090088,
1.344622015953064,
0.20224112272262573,
0.8630651235580444,
0.10256192088127136,
-0.11684072017669678,
0.6129581928253174,
-0.39192378520965576,
-0.22680197656154... |
instruction:
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is ... | [['Fitzbillies', 'eatType', 'restaurant'], ['Fitzbillies', 'food', 'Italian'], ['Fitzbillies', 'priceRange', 'more than £30'], ['Fitzbillies', 'near', 'The Six Bells']]
| 9 | NIv2 | task1410_dart_relationship_extraction | fs_opt | [
0.21820737421512604,
0.22990107536315918,
-0.8439782857894897,
0.012919711880385876,
0.012734148651361465,
-0.5900154113769531,
0.07818429172039032,
0.48902761936187744,
0.40412721037864685,
-0.21613819897174835,
-0.12954497337341309,
0.2726800739765167,
-0.6566580533981323,
-0.12874391674... |
You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Ex Input:
Sentence1: Thank you. May I have a street address for the police station? Sentence2: welcome. at your service next time Sentence3: Thank you goodbye Sentence4: Certainly. Their ad... | Answer: (B) System
| 1 | NIv2 | task638_multi_woz_classification | fs_opt | [
0.5655069351196289,
0.6632382869720459,
-0.7864271402359009,
-0.34265804290771484,
0.31222259998321533,
-0.8736833333969116,
0.24486775696277618,
0.7191974520683289,
-0.047255538403987885,
-0.11848194897174835,
-0.47592782974243164,
0.2862197458744049,
-0.19999103248119354,
0.0170544795691... |
instruction:
In this task, you are given music product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
question:
Le meilleur de Cabrel . Incontestablement le meilleur album de Cabre... | POS
| 9 | NIv2 | task484_cls_french_music_classification | fs_opt | [
0.9759023785591125,
0.02255653589963913,
-0.2888752520084381,
0.1873241811990738,
0.7285869121551514,
-0.3300693929195404,
1.6869008541107178,
0.44743603467941284,
-0.3321373164653778,
0.842537522315979,
-0.47499018907546997,
0.18927893042564392,
-0.27127307653427124,
0.35256242752075195,
... |
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A list is presen... | Output: [225, 96, 190]
| 2 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.7353729605674744,
0.2193382978439331,
-0.2646772265434265,
-0.17831844091415405,
0.1347540020942688,
0.38252902030944824,
0.7465393543243408,
0.1876945048570633,
-0.4239072799682617,
0.41026803851127625,
-0.8861747980117798,
-0.08383454382419586,
-0.20365338027477264,
-0.489384055137634... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Galician.
Now, this is a study that followed about 70,000 people for 30 years.
A: | Este é un estudo que seguiu a 70.000 persoas durante 30 anos. | 7 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
-1.0372967720031738,
0.6935067176818848,
0.10275997966527939,
-1.079089641571045,
0.01562659814953804,
-1.6039537191390991,
-0.2835739254951477,
0.15089216828346252,
0.40720850229263306,
-0.1978815346956253,
0.5981288552284241,
0.7126868963241577,
-0.3516268730163574,
0.3041973412036896,
... |
Detailed Instructions: In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Problem:Passage: On 4 Ju... | Answer: the Swiss Alps | 8 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
1.125403881072998,
0.6515865325927734,
-0.8465301394462585,
-0.5986411571502686,
0.43367040157318115,
-0.6257035732269287,
0.83376145362854,
0.5386785268783569,
0.5780855417251587,
0.23190516233444214,
-0.2688790559768677,
0.29733049869537354,
-1.4850318431854248,
0.1487388014793396,
0.2... |
Teacher:You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Teacher: Now, understand the problem? Solve this instance: Algunos recordamos los informes periodísticos procedentes de Rumanía tras la revolución de 1989, cuando vimos con horror las condiciones de algunas instit... | Os que de nós se lembrarem das notícias que saíram nos jornais romenos após a revolução de 1989 recordarão os horrores das condições em parte dessas instituições. | 6 | NIv2 | task1104_ted_translation_es_pt | zs_opt | [
-0.15623004734516144,
0.8868566751480103,
-0.04655519872903824,
-0.7768514156341553,
-0.7567757368087769,
-0.6868876218795776,
-0.21635815501213074,
1.653237223625183,
0.362060546875,
0.0971536636352539,
-0.2544798254966736,
0.2296505570411682,
-0.6727422475814819,
-0.07654678076505661,
... |
Definition: In this task, you are given a paragraph (from a research paper) and your task is to classify each sentence of the paragraph (assume n sentence) into the following categories: Background, Purpose, Method, Finding/Contribution, or Other. Return the output in this format: 1 - category of sentence 1, 2 - catego... | 1 - method, 2 - method, 3 - method, 4 - method | 2 | NIv2 | task352_coda-19_classification | zs_opt | [
-0.17360574007034302,
0.15137404203414917,
-0.15564748644828796,
-0.1659625619649887,
0.6973193883895874,
0.033044762909412384,
0.7482300996780396,
0.9991440176963806,
0.14557704329490662,
0.21688836812973022,
-0.9322373867034912,
-0.3578166365623474,
0.11409763991832733,
0.101742342114448... |
Given the task definition and input, reply with output. In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ).... | No | 5 | NIv2 | task1196_atomic_classification_oeffect | zs_opt | [
0.1487114131450653,
0.5511072874069214,
0.5380431413650513,
-0.14172562956809998,
-0.36310112476348877,
-0.4581426978111267,
0.9690514802932739,
0.6302879452705383,
-0.48360952734947205,
-0.2816088795661926,
-0.3924620449542999,
-0.36590665578842163,
-0.8253281116485596,
0.2417335212230682... |
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Q: English: (The Commissioner indicated that he would speak later) Very well, thank you.
Spanish:Señor Presidente, quien haya ... | Yes
****
| 4 | NIv2 | task532_europarl_en-es_classification | fs_opt | [
0.7069808840751648,
-0.200482577085495,
0.3020557761192322,
-0.02619924768805504,
0.6208533644676208,
-1.1645097732543945,
1.145568609237671,
0.8688201308250427,
-0.28800421953201294,
0.32737284898757935,
0.2578299641609192,
0.7270004749298096,
-0.07185989618301392,
0.14401957392692566,
... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Italian.
Q: There's a saying with which all students of history are familiar: "Geography is destiny."
A: | C'è un detto che conoscono tutti gli studenti di storia: "La geografia è il destino." | 9 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
-0.16225381195545197,
0.7592134475708008,
0.3189966082572937,
-0.9832801222801208,
-0.7421127557754517,
-1.2061161994934082,
-0.43674367666244507,
0.9737365245819092,
0.5591418743133545,
-0.47344130277633667,
0.09735485911369324,
-0.043465107679367065,
0.025224938988685608,
0.0715784281492... |
Teacher: In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers an... | Alphabets Win | 2 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | fs_opt | [
0.07839749753475189,
0.40446531772613525,
-0.5154930949211121,
-0.2706272602081299,
-0.46247929334640503,
-0.6459225416183472,
0.3140709698200226,
-0.1449010670185089,
0.09109947085380554,
-0.07446187734603882,
-0.8485727310180664,
0.23092645406723022,
-0.21193432807922363,
-0.009686069563... |
In this task, we ask you to rewrite a sentence in simple English without changing its general meaning. Essentially, you want to make the sentence easier to read by using simpler words, utilizing more straightforward sentence structures, and omitting non-essential information etc.
[EX Q]: Supply depots are a type of mi... | Choa Chu Kang MRT / LRT Station ( NS4 / BP1 ) is an MRT Station in Singapore .
| 6 | NIv2 | task933_wiki_auto_style_transfer | fs_opt | [
-0.06565359234809875,
0.21624024212360382,
-0.3377148509025574,
0.15921461582183838,
0.15041786432266235,
-1.0945473909378052,
0.2216121405363083,
0.23784556984901428,
0.3796093463897705,
0.040164463222026825,
-0.4089410901069641,
0.20728638768196106,
0.0848240852355957,
-0.572848916053772... |
Instructions: In this task, you are given an article. Your task is to summarize the article in a sentence.
Input: Shaker Aamer, 48, who has been held in the military prison in Cuba since 2002, could be returned this weekend.
He told the BBC's Victoria Derbyshire programme in letters sent via his lawyers that the first ... | The last British resident in Guantanamo Bay says he is "not getting his hopes up" about returning to the UK, as there have been "so many false promises". | 3 | NIv2 | task1290_xsum_summarization | zs_opt | [
0.6824380159378052,
-0.01878182590007782,
-0.7001262307167053,
-0.5806148052215576,
-0.06779728829860687,
0.026415210217237473,
0.5076389312744141,
0.6513691544532776,
0.02544354647397995,
0.3992761969566345,
-0.26633402705192566,
1.1992865800857544,
-0.9985780119895935,
0.3124316036701202... |
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Example: Verify if the sentiment of the following document towards the entity Bill Clinton is Positive . Bill... | Solution: yes | 5 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
-0.38813453912734985,
0.4258953630924225,
0.03642229735851288,
0.35146215558052063,
0.4201495349407196,
-0.4696188271045685,
0.7389931678771973,
1.0187568664550781,
0.2102494239807129,
0.5705313086509705,
-0.2563106417655945,
0.69661545753479,
0.0013429102255031466,
-0.06030258536338806,
... |
Q: In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
W: What do you think of the Modern Art Exhibition? M: It was too difficult for me to understand. But my... | (C) The man's wife. | 7 | NIv2 | task247_dream_answer_generation | zs_opt | [
0.3007071614265442,
0.028199143707752228,
-0.9538852572441101,
-0.26409611105918884,
0.4259703755378723,
-0.047071509063243866,
-0.20557987689971924,
0.3744468688964844,
0.8295830488204956,
-0.10307011008262634,
-0.724610447883606,
-0.1069275438785553,
0.5140760540962219,
-0.21856340765953... |
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Q: Statement: Oh! Tuppence jumped. Choices: 1. Tuppence stayed put... | 2
****
| 4 | NIv2 | task202_mnli_contradiction_classification | fs_opt | [
-0.9939836859703064,
0.10779093205928802,
-0.0112121207639575,
0.14390607178211212,
0.0068548074923455715,
-0.3576154410839081,
0.125372052192688,
0.8965446949005127,
-0.16324454545974731,
0.6007116436958313,
-0.5049929618835449,
0.22795680165290833,
0.25071319937705994,
-0.421184480190277... |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct ... | Output: (E)
| 2 | NIv2 | task268_casehold_legal_answer_generation | fs_opt | [
0.5257683992385864,
-0.11489993333816528,
-0.4849446415901184,
-0.1258956640958786,
0.44869598746299744,
-0.7498052716255188,
0.2734771966934204,
0.9778772592544556,
-0.2960065007209778,
-0.05136341229081154,
0.09827058017253876,
0.3173200488090515,
-0.27313297986984253,
-0.115469336509704... |
Part 1. Definition
Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Statement1 then the label is 'cause'
Part... | cause | 7 | NIv2 | task1629_copa_hr_classification | fs_opt | [
-1.177527666091919,
0.45440757274627686,
-0.408391535282135,
0.018153740093111992,
-0.614453911781311,
-0.6745213270187378,
0.34474092721939087,
-0.15290343761444092,
0.21345141530036926,
-0.2934391498565674,
-0.30207425355911255,
0.41594839096069336,
-0.7063161134719849,
-0.02415615320205... |
You are given a statement written in Bengali. 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: আধুনিক যুগের চিন্তা-চেতনা অনুযায়ী ধারণা করা হয় যে, ব্যাংকিং পদ্ধতির উন্মেষ ঘটে মধ্যযুগ এবং রেনেসা... | সিন্ধু, | 4 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | zs_opt | [
-0.9484210014343262,
0.6320564150810242,
-0.48862558603286743,
0.8538442850112915,
-0.4013741910457611,
0.7313861846923828,
-0.28840556740760803,
0.5189439058303833,
0.5130820274353027,
-0.45731186866760254,
0.18039926886558533,
0.45661240816116333,
-0.18649907410144806,
0.2702190279960632... |
In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
Example Input: For Dotorimuk:, 1/2 cup acorn jelly powder (dotori mukgaru), 3 cups water, 1/2 ts salt, For the seasoning sauce:, 1/3 cup soy sauce, 2 ts hon... | egg whites, icing sugar, flour, butter, cocoa, butter, flour, eggs, caster sugar, lemon
| 3 | NIv2 | task570_recipe_nlg_ner_generation | fs_opt | [
0.27716922760009766,
-0.012934227474033833,
-0.22730889916419983,
-0.08273875713348389,
-0.13811004161834717,
-0.4557531476020813,
1.0831286907196045,
1.0227315425872803,
-0.5685300827026367,
-0.32657262682914734,
-0.3661043047904968,
-0.0609501488506794,
-0.37234991788864136,
0.0723485052... |
instruction:
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 wo... | enemy HasProperty bad
| 9 | NIv2 | task1510_evalution_relation_extraction | fs_opt | [
0.8086076974868774,
0.9639734029769897,
0.3536563515663147,
-0.3899434804916382,
-0.08590596169233322,
-0.9385273456573486,
0.43011707067489624,
0.5565916299819946,
0.19612732529640198,
-0.27017760276794434,
-0.46797239780426025,
-0.18927903473377228,
-0.9829683899879456,
-0.19486209750175... |
A text is given in Bengali. Translate it from the Bengali language to the Gujarati language. The translation must not omit or add information to the original sentence.
[EX Q]: આ આકલનનાં ત્રણ ચક્ર અનુક્રમે વર્ષ 2006, વર્ષ 2010 અને વર્ષ 2014માં પૂર્ણ થયાં હતા.
[EX A]: ২০০৬, ২০১০ এবং ২০১৪ সালে এর আগে তিনটি পর্যায়ে পরিসং... | বহু বছর পর ভারতীয় বিমানবাহিনীতে অত্যাধুনিক জঙ্গি বিমান রাফায়েলকে সামিল করার উদ্যোগ নেওয়া হয়েছে। জম্মু-কাশ্মীর এবং লাদাখ অঞ্চলের উন্নয়নের জন্য সরকার উদ্যোগ নিয়েছে।
| 6 | NIv2 | task1068_pib_translation_gujarati_bengali | fs_opt | [
-0.5900113582611084,
0.6944116353988647,
-0.12410736083984375,
-0.41587069630622864,
-0.3129172921180725,
-0.4430255889892578,
0.05055075138807297,
0.047369334846735,
0.10342074185609818,
-0.4714803695678711,
-0.45342355966567993,
0.3767179250717163,
0.49059930443763733,
-0.156161218881607... |
Teacher:In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the ... | Tom asked to Allie for dinner >Causes/Enables> They had a good time at movie. | 6 | NIv2 | task748_glucose_reverse_cause_event_detection | zs_opt | [
0.23843169212341309,
0.10465432703495026,
0.4728390574455261,
-0.06263157725334167,
-0.5072096586227417,
-1.4374306201934814,
-0.1842474639415741,
0.7549609541893005,
-0.1599375158548355,
-0.15356460213661194,
-0.36346936225891113,
-0.21023832261562347,
-0.23234876990318298,
-0.41150519251... |
Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
[Q]: Japanese: 「私はこれが歴史上最もすばらしいレースの1つになると思って、そして、私はそれに関わる機会が欲しかった。」
Filipino: "Akala ko'y ito ay magi... | Yes
| 5 | NIv2 | task1120_alt_ja_fil_answer_generation | fs_opt | [
-0.4684608578681946,
-0.9852445721626282,
0.7982356548309326,
-0.15273550152778625,
-0.010647851042449474,
-0.5899754166603088,
0.2848166227340698,
0.9576285481452942,
-0.004312693141400814,
-0.09053271263837814,
-0.8431627154350281,
0.2095659077167511,
0.2856917977333069,
0.34270548820495... |
You will be given a definition of a task first, then some input of the task.
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects... | Sentence 1: The car was losing pace with the truck in the race, as the _ was weakening its acceleration.
Answer1: car.
Sentence 2: The car was losing pace with the truck in the race, as the _ was increasing its acceleration.
Answer2: truck. | 1 | NIv2 | task029_winogrande_full_object | zs_opt | [
0.4519224166870117,
0.3294329047203064,
0.10577885806560516,
0.039456743746995926,
0.816199779510498,
-0.5591269731521606,
0.4904155135154724,
1.0891015529632568,
-0.6819625496864319,
-0.3951103091239929,
-0.4354094862937927,
-0.002598898485302925,
-0.3818522095680237,
-0.08012916892766953... |
Detailed Instructions: Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
See one example below:
Problem: Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitari... | What city is Cristina Dinu associated with? | 4 | NIv2 | task1326_qa_zre_question_generation_from_answer | fs_opt | [
0.9394549131393433,
0.04105471819639206,
-0.8265699148178101,
-0.4687393009662628,
0.20711162686347961,
-0.22723695635795593,
0.9580858945846558,
0.9515275359153748,
0.9340918064117432,
0.4702915549278259,
0.5783159136772156,
1.6248196363449097,
-1.308653473854065,
0.017933979630470276,
... |
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 one correct answer. Show the gap in your question with a _ .
Q: Fox News is sl... | In an interview with CNN Wednesday, _ said he appeared in ill health when she saw him recently.
****
| 4 | NIv2 | task301_record_question_generation | fs_opt | [
0.6035398244857788,
-0.11007241904735565,
-0.18913832306861877,
-0.42492640018463135,
0.7396453619003296,
-0.527099609375,
0.4348398447036743,
0.5934077501296997,
-0.3189001679420471,
0.1335834413766861,
0.13780692219734192,
0.45852720737457275,
-0.7574002146720886,
0.02368120290338993,
... |
Given the task definition, example input & output, solve the new input case.
Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in th... | EVERYBODY | 1 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | fs_opt | [
0.35453104972839355,
0.07602088898420334,
0.03881748765707016,
0.36641210317611694,
0.32841265201568604,
-0.24260744452476501,
0.40079766511917114,
0.45707303285598755,
0.31110578775405884,
-0.27730974555015564,
-0.22108857333660126,
0.5126367807388306,
-0.15989959239959717,
-0.08295646309... |
You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypothesis. Your... | neutral
| 1 | NIv2 | task1529_scitail1.1_classification | fs_opt | [
1.0470702648162842,
0.5801753401756287,
-0.1525464951992035,
0.10673399269580841,
-0.6280951499938965,
-0.800993800163269,
0.3549876809120178,
0.5656529068946838,
0.23387593030929565,
-0.31852924823760986,
-0.6411014199256897,
0.13366520404815674,
-0.06713656336069107,
0.05504379794001579,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Example Input: Esta misión es ir a dónde nadie ha ido antes de la Tierra.
Example Output: משימתה היא ללכת היכן ששום אדם עוד לא הילך על כדור הארץ.
Example Input: La tercera es potos (planta del dinero en inglés) y nuevament... | וזה מתמקד במשהו שקראתי לפני הרבה זמן מאת בחור בשם רב היימן שכטל.
| 3 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.7298886775970459,
0.24735549092292786,
-0.38203224539756775,
-0.16093865036964417,
-0.21539688110351562,
-0.4484374523162842,
0.8369566798210144,
-0.15427830815315247,
0.009196637198328972,
-0.45254451036453247,
-0.9621679782867432,
0.7395209074020386,
-0.2198115885257721,
-0.0177544206... |
Teacher:In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You... | Yes | 6 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
-0.007419710513204336,
-0.1880018264055252,
0.4932650327682495,
-0.22429236769676208,
-0.2564524710178375,
-1.2862640619277954,
1.243359923362732,
0.3498333692550659,
-0.6826659440994263,
-0.4615137577056885,
-0.03397252783179283,
-0.15754541754722595,
-0.6104915142059326,
0.46202272176742... |
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 .
--------
Question: Statement: इ.स. १९८७ साली <MASK> भरलेल्या अखिल भारतीय मराठी नाट्य संमेलनाचे अध्यक्षपद कोल्हटकरा... | सिंगापूर
| 7 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
-0.08335934579372406,
1.146626591682434,
-0.019370252266526222,
0.20140142738819122,
0.2232842892408371,
-0.14368832111358643,
0.021782420575618744,
0.7070515155792236,
-0.45404568314552307,
0.03305190056562424,
-0.12168874591588974,
0.49402472376823425,
-0.5451231002807617,
-0.11478647589... |
Definition: 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.
Input: [[38, -4, -17], [46, -36, -27, ... | [2584, 24144480, 231, -1996400, 3091200, -8440432, -3880800] | 2 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
0.07882454991340637,
0.24226784706115723,
-0.8333926200866699,
-0.11612231284379959,
0.19134260714054108,
0.2891254723072052,
0.8045103549957275,
-0.05715678632259369,
-0.14662522077560425,
-0.21207384765148163,
-1.118879795074463,
-0.08910658955574036,
-0.43718820810317993,
-0.24017727375... |
Teacher: In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain conditions ... | SELECT T2.customer_id FROM Invoices AS T1 JOIN Orders AS T2 JOIN Shipments AS T3 ON T1.invoice_number = T3.invoice_number AND T3.order_id = T2.order_id ORDER BY T1.invoice_date Desc LIMIT 1 | 2 | NIv2 | task077_splash_explanation_to_sql | fs_opt | [
0.5644554495811462,
0.3859426975250244,
-1.1089041233062744,
0.7032228708267212,
-0.021562639623880386,
-0.2779403030872345,
0.6735007166862488,
1.0496317148208618,
-0.42467254400253296,
0.2032361477613449,
0.7143880128860474,
0.2406007945537567,
-0.02243351936340332,
0.1266280859708786,
... |
Detailed Instructions: In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Problem:Cine produce acum destul doar pentru un miliard?
Solution: | Who does it now only produce enough for billion? | 8 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
0.003910718485713005,
1.1187175512313843,
0.4370196759700775,
-0.32317501306533813,
-0.4226963520050049,
0.09647801518440247,
0.39868414402008057,
0.4185866713523865,
0.6313847303390503,
-0.5090702772140503,
-0.29530757665634155,
0.585151731967926,
-0.31160062551498413,
-0.2135857939720153... |
Detailed Instructions: 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".
Problem:Paragraph: The cancer bu... | True | 8 | NIv2 | task1162_coda19_title_classification | zs_opt | [
-0.6798709630966187,
0.30421751737594604,
-0.3600805401802063,
-0.7806627750396729,
-0.36565905809402466,
-0.5915037393569946,
1.0324468612670898,
0.1048441231250763,
0.2768123149871826,
0.22257071733474731,
-0.42349672317504883,
0.3248397409915924,
-0.21984679996967316,
0.2735282480716705... |
In this task, you will be given text in English. You need to translate the text into the Sinhali language.
Ex Input:
Rate of heart beat can be affected by exercise and fitness levels, age, body temperature, basal metabolic rate and even a person's mental condition.
Ex Output:
ව් යායාම සහ යෝග් යතා මට්ටම්, වයස, දේහ ... | මෙම චරිතය දොමිනෝ ආවරණයක් පැළඳීම නිසා හෝ කොළ පති ඇඳුමක් සහ වටකුරු තොප්පියක් පැළඳීම නිසා හෝ ප්රශ්නාර්ථ සලකුණක් මුද්රිත කොළ පති ඇඳුමක් නිසා විස්තර කෙරෙයි.
| 1 | NIv2 | task604_flores_translation_entosn | fs_opt | [
0.22916951775550842,
0.44793185591697693,
-0.539625883102417,
0.15207944810390472,
-0.5502771139144897,
-1.0417062044143677,
0.07835868000984192,
0.4737373888492584,
0.029194319620728493,
-0.5738207101821899,
-0.5498562455177307,
-0.27542662620544434,
-0.49787360429763794,
-0.2162505984306... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Input: Consider Input: Probaron todas as medicinas, todos os tratamentos que se lles ocorreron.
Output: Provarono ogni farmaco, ogni cura a cui riuscirono a pensare.
Input: Consider Input: Pero o que fan é amosar o qu... | Output: Ho pensato che stesse per mordere
| 2 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
-0.48592475056648254,
1.0854144096374512,
-0.09317232668399811,
0.13070669770240784,
-0.25819703936576843,
-0.7609097361564636,
-0.002589554525911808,
1.1385531425476074,
0.36978888511657715,
-0.22035381197929382,
-0.5665401220321655,
0.4360041618347168,
0.5031769275665283,
-0.008342265151... |
Detailed Instructions: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Problem:@AndeeD hey thanks! seems a pity not to eat it, sounds fairly nutritious
Solution: | positive | 8 | NIv2 | task195_sentiment140_classification | zs_opt | [
-1.238976001739502,
0.22075295448303223,
1.2710949182510376,
0.36038482189178467,
0.024149090051651,
-0.6308504343032837,
-0.17369580268859863,
0.39877641201019287,
0.08762219548225403,
0.4069724380970001,
-0.7451401352882385,
-0.9216464757919312,
-0.7893972992897034,
-0.294877290725708,
... |
Detailed Instructions: You will be given a context and a verb separated with a newline character. You have to identify if the given verb implies an opinion, an intention, a wish or not. Please note that a verb refers to an intention only if it refers to an event planned to happen in the future and is not conditional (o... | No | 8 | NIv2 | task456_matres_intention_classification | zs_opt | [
-0.09878323972225189,
0.9238169193267822,
-0.08056536316871643,
0.008306225761771202,
-0.6303844451904297,
-0.41139930486679077,
0.7717000842094421,
0.2827566862106323,
0.24969768524169922,
0.0762115865945816,
0.42379269003868103,
-0.009538102895021439,
-0.6505908966064453,
0.1926652491092... |
You will be given a definition of a task first, then some input of the task.
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 ans... | C | 1 | NIv2 | task190_snli_classification | zs_opt | [
-0.4951787292957306,
0.4768902659416199,
-0.1358945071697235,
-0.8160057067871094,
0.5138187408447266,
0.13365262746810913,
0.30520498752593994,
0.5101555585861206,
0.2214953601360321,
0.05154455080628395,
-0.011684720404446125,
-0.7276034355163574,
-0.33184242248535156,
-0.721979856491088... |
Detailed Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Problem:8, ['7645', '4005', '5989', '5545', 'O', 'W', 'w', '9865', '3203', 'e', 'Q', '7083', ... | 3203, e, Q, 7083, 3901, 979, 5149, F, 1269, h, E, h, 8899, 255, J, 9469, w | 8 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
0.3063731789588928,
0.18879909813404083,
-0.3399374783039093,
-0.48959970474243164,
-0.5498884916305542,
0.03516765683889389,
0.45040586590766907,
-0.16460034251213074,
-0.5587900280952454,
-0.07297651469707489,
-0.7134207487106323,
-0.12544581294059753,
0.20914313197135925,
-0.43896752595... |
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