inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Q: 11, 18, ['7053', '4271', '3175', '3997', '4153', '3255', 'd', '4507', 'q', 'm', 'V', '9999', 'Q', 'v', '8543', '2835', '1545', '3549']
A: | 26471 | 4 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | zs_opt | [
-0.14144325256347656,
0.40353184938430786,
-0.3269836902618408,
-1.021517276763916,
-0.3543665409088135,
-0.011400063522160053,
0.34841933846473694,
-0.2583249807357788,
-0.07017763704061508,
0.12211637943983078,
-0.9013222455978394,
0.6242616176605225,
0.4066654443740845,
-0.5632701516151... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separated with a new line.
Q: Who is the republican whip in the senate?
A: | Who was the republican whip in the senate for the 113th-115th congress?
John Cornyn | 4 | NIv2 | task671_ambigqa_text_generation | zs_opt | [
-1.038130760192871,
1.0052361488342285,
0.24070464074611664,
-0.1261386275291443,
-0.5866740942001343,
-0.24147182703018188,
0.703533411026001,
0.44206148386001587,
0.23623649775981903,
0.20897254347801208,
0.12209896743297577,
0.6201883554458618,
0.03792358189821243,
-0.138198584318161,
... |
In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element.
Let me give you an example: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
The answer to this example can be: a, 931, 13245
Here is why: Here, every 3rd element from array are 'a', '931', and '13245'.
OK. solve this:
18, ['9151', 'v', '1045', '2133', '3883', '7347', '7445', 'C', 'x', '7229', 'S', '9055', 'Y', '4485', '2809', 'p', '3863', '2269', '8433', '1815', '6069', 'Y', '6493', '9867', '79', '9425', 'o', '8865', '2077', 'O', '6175', 'Q', 'X', 'P', '7529', 'V', 'a', '1893', '653', 'C', '3375', '2501', '7331']
Answer: | 9151, 8433, a | 8 | NIv2 | task1542_every_ith_element_from_starting | fs_opt | [
0.2673960328102112,
-0.05798087269067764,
-0.4615486264228821,
-0.9544587731361389,
-0.535124659538269,
-0.6994197368621826,
0.3954606354236603,
0.4917890727519989,
-0.4228658974170685,
-0.08552314341068268,
-0.8183301091194153,
0.37515726685523987,
0.1018640398979187,
-0.07570208609104156... |
In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Example Input: Speaker intent detection and semantic slot filling are two critical tasks in spoken language understanding (SLU) for dialogue systems. In this paper, we describe a recurrent neural network (RNN) model that jointly performs intent detection, slot filling, and language modeling. The neural network model keeps updating the intent prediction as word in the transcribed utterance arrives and uses it as contextual features in the joint model. Evaluation of the language model and online SLU model is made on the ATIS benchmarking data set. On language modeling task, our joint model achieves 11.8% relative reduction on perplexity comparing to the independent training language model. On SLU tasks, our joint model outperforms the independent task training model by 22.3% on intent detection error rate, with slight degradation on slot filling F1 score. The joint model also shows advantageous performance in the realistic ASR settings with noisy speech input.
Example Output: Joint Online Spoken Language Understanding and Language Modeling with Recurrent Neural Networks
Example Input: In this work we present a new approach to learn compressible representations in deep architectures with an end-to-end training strategy. Our method is based on a soft (continuous) relaxation of quantization and entropy, which we anneal to their discrete counterparts throughout training. We showcase this method for two challenging applications: Image compression and neural network compression. While these tasks have typically been approached with different methods, our soft-to-hard quantization approach gives state-of-the-art results for both.
Example Output: Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks
Example Input: In collective decision making, where a voting rule is used to take a collective decision among a group of agents, manipulation by one or more agents is usually considered negative behavior to be avoided, or at least to be made computationally difficult for the agents to perform. However, there are scenarios in which a restricted form of manipulation can instead be beneficial. In this paper we consider the iterative version of several voting rules, where at each step one agent is allowed to manipulate by modifying his ballot according to a set of restricted manipulation moves which are computationally easy and require little information to be performed. We prove convergence of iterative voting rules when restricted manipulation is allowed, and we present experiments showing that most iterative voting rules have a higher Condorcet efficiency than their non-iterative version.
Example Output: | Restricted Manipulation in Iterative Voting: Convergence and Condorcet Efficiency
| 3 | NIv2 | task1540_parsed_pdfs_summarization | fs_opt | [
-0.15885192155838013,
0.6802531480789185,
0.12385502457618713,
0.2747552990913391,
0.1025388240814209,
0.12380576133728027,
0.7554153800010681,
0.5406894087791443,
-0.24941323697566986,
0.680770754814148,
0.05542534589767456,
-0.09271848201751709,
-0.42500877380371094,
0.6085463762283325,
... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Example: not just the words . and thats where a great film editor can help a director .
Example solution: فقط کلمات نيستن؛ يک تدوينگر خوب خيلي به کار گردان کمک ميکنه .
Example explanation: This is a good example. The above sentence is correctly translated from English to Persian.
Problem: my mouths full of cotton .
| Solution: دهن من پر ازکتانه . | 5 | NIv2 | task658_tep_en_fa_translation | fs_opt | [
-0.6390749216079712,
0.5563970804214478,
-0.41245749592781067,
-0.4708370864391327,
-0.4875088334083557,
-0.3717845380306244,
0.32564353942871094,
0.3137708902359009,
-0.21226201951503754,
-0.34382420778274536,
-0.3806421756744385,
-0.4393429756164551,
-0.7458168864250183,
0.62710642814636... |
Teacher:In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Teacher: Now, understand the problem? Solve this instance: Un sector de los socialistas, encabezado por Bernd Lange, afirma que sí, que el principio es bueno, pero que no debemos introducirlo hasta el año 2010 o 2012, según refleja la enmienda 45.
Student: | Some of the socialists under the direction of Mr Bernd Lange say: yes, we approve of this principle but we need not implement it until 2010 or 2012 according to Amendment No 45. | 6 | NIv2 | task531_europarl_es_en_translation | zs_opt | [
-1.1079752445220947,
0.34982043504714966,
0.39730072021484375,
-0.5626965761184692,
-0.2825317978858948,
-0.3987017273902893,
0.8877994418144226,
0.7619208097457886,
-0.3638029098510742,
0.45683351159095764,
0.34555694460868835,
0.17340432107448578,
-0.34158459305763245,
-0.603667736053466... |
Detailed Instructions: Given a comment, classify it into a 'hate' speech or 'not hate' speech. Answer using 'hate' or 'not hate'.
Q: My grandma had a roommate who was a drag queen I had drag queen knwonledge at 11 and what was cool lol
A: | not hate | 9 | NIv2 | task1604_ethos_text_classification | zs_opt | [
0.18711641430854797,
1.089613437652588,
-0.28785818815231323,
-0.8385366201400757,
-1.1586661338806152,
-1.2218114137649536,
0.30907130241394043,
0.23308134078979492,
0.6641457676887512,
-0.11199234426021576,
0.8594777584075928,
-0.2554377615451813,
-1.1054885387420654,
-0.4083621799945831... |
In this task you will be given a list of strings and you need to concatenate them.
['G', 'is', 'g', 'prophecy', 'u', 'v']
Gisgprophecyuv
['V', 'q', 'wide', 'K', 'now', 'u', 'All', 'Z']
VqwideKnowuAllZ
['Spaniard9s', 'N', 'h', 'of', 'E', 'he', 'Q', 'c']
| Spaniard9sNhofEheQc
| 0 | NIv2 | task079_conala_concat_strings | fs_opt | [
-0.4875718653202057,
0.6682239770889282,
0.04596400260925293,
-0.7625542283058167,
0.1322430968284607,
-0.6940639019012451,
0.37108728289604187,
-0.20648908615112305,
0.2861068546772003,
0.5538299083709717,
-0.8337946534156799,
-0.36711961030960083,
-0.4704326391220093,
0.2867547273635864,... |
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".
[Q]: W: Hi, Mike. What have you been up to? M: Not much. I started exercising. W: Trying to get in shape? M: Yeah, and I need to start improving my health. W: Me, too. What are you doing besides exercising? M: That's about all. W: I think if you eat better, it will also help a lot. M: Sleep is important, too. I heard people who sleep an average of eight hours a day have less health problems. W: Looks like there are a lot of things to do to stay healthy. M: True. But I think it is worth it. When you get older, you want to be healthy and active. W: Absolutely., Question: How many ways to keep fit are mentioned? (A) 2. (B) 3. (C) 4.
[A]: (B) 3.
[Q]: W: Hello, Patrick, is that you? M: Yeah Jane, what can I do for you? W: I was calling about the apple tree that you were trimming yesterday. M: That was hard work! W: I'm sure it was. It sure looked difficult. M: Yeah, I'm glad it's finished. Hauling the branches to the front for garbage pick up was no fun either. W: Well, I don't think you're quite finished yet, some of the larger branches fell over into my yard, and I think you should come and get them. M: Listen Jane, I don't see why I should do that. You eat all the apples that fall in your yard and you've never complained about that before. W: Well, it's easier to pick up apples then to drag tree branches all the way to the curb. My kids pick up the apples, and the branches are just too big for them to drag. M: Well, I guess you'll just have to do it yourself Jane. W: Patrick, I wish you would reconsider. We've always gotten along fairly well, but I think you're out of line here. The branches are your responsibility. M: Sorry Jane, I disagree! You take the benefits of the apple tree, but refuse to deal with the bad side of it! Besides, it won't take you any time to get the branches out front! W: Get the branches off my property or I'll have to sue you. M: Yeah? For what?! You're taking those law classes too seriously! I've gotta go, I have to pick up my son. W: You'll be hearing from me. M: Yeah, yeah. See you in court Jane., Question: What was the man's reaction to the woman's threat? (A) He was ready to make a concession. (B) He was not intimidated. (C) He was not prepared to go to court.
[A]: (C) He was not prepared to go to court.
[Q]: W: Why don't you sit down? Now, there are several questions I must ask you if you don't mind. M: Not at all. Go ahead. W: What is the purpose of your visit to the United Stated? M: I am going to attend a conference on air pollution. It will be held in the first two weeks of February at the University of California. W: The University of California? M: Yes, here is the official letter of invitation. W: I see. Fine. When do you want to go? M: I'd like to leave in mid-January if my passport is ready by then., Question: Why is the man going to the United States? (A) To attend a conference. (B) To visit his friends. (C) To travel.
[A]: | (A) To attend a conference.
| 5 | NIv2 | task247_dream_answer_generation | fs_opt | [
1.0512659549713135,
0.33809715509414673,
-0.6958996057510376,
-0.380249559879303,
0.3445926308631897,
-0.5172719359397888,
1.2585463523864746,
0.5121368765830994,
-0.2509852349758148,
-0.1245138943195343,
-0.14323453605175018,
0.5114579200744629,
-0.3320819139480591,
0.20440137386322021,
... |
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".
Q: Tweet: @MizzyLB Oh Em Gee! I want to go!All the cool tours are not in SA. Only thing we have is Coke Fest & bands like @Saosin_ will never come Question: is it a negative tweet?
A: | yes | 4 | NIv2 | task196_sentiment140_answer_generation | zs_opt | [
-0.8686546087265015,
-0.3348007798194885,
0.30572155117988586,
0.06890219449996948,
0.5514769554138184,
-1.126001000404358,
-0.13412120938301086,
-0.7710199356079102,
-0.39959096908569336,
0.6323710680007935,
0.557846188545227,
-0.3962230384349823,
-0.07489465922117233,
-0.513516366481781,... |
Teacher:In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Teacher: Now, understand the problem? Solve this instance: What river borders the southwest of the state which held the 2005 BMW Charity Pro-Am at The Cliffs ?
Student: | Savannah River | 6 | NIv2 | task344_hybridqa_answer_generation | zs_opt | [
-0.4072582721710205,
-0.5521743297576904,
-0.029762443155050278,
-0.4915802478790283,
-0.5979741811752319,
-0.0518777035176754,
-0.18208321928977966,
0.41988834738731384,
0.12109608948230743,
-0.33131277561187744,
-0.3002985715866089,
0.2514439821243286,
-0.36603355407714844,
-0.2873758077... |
Definition: In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then return 'None'.
Input: Volgens de wetenschappers verschaft het apparaat hun nauwkeurige gegevens over de periode waarin de kinderen sliepen en wakker waren en geeft het een goed idee van de lichaamsbewegingen .
Output: | None | 2 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | zs_opt | [
-0.3085915744304657,
0.01786920428276062,
-0.6785821914672852,
-0.05235768109560013,
-0.6310200691223145,
-0.002293369034305215,
1.13074791431427,
-0.07868218421936035,
0.41202715039253235,
-0.6353094577789307,
-0.5601730346679688,
0.7205320000648499,
0.08706192672252655,
-0.09215848147869... |
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 category.
One example: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Solution is here: Hate Speech
Explanation: The writer mentions emotions like hating so it is clearly a hate speech.
Now, solve this: Charlie Baltimore look good for 45 😳
Solution: | Neither | 6 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.5092952251434326,
0.09306547790765762,
0.4231315851211548,
0.2671617865562439,
0.005357775837182999,
-0.7182098031044006,
-0.1634070873260498,
0.7267502546310425,
0.5541563630104065,
0.3573557138442993,
-0.10751579701900482,
-0.35489994287490845,
-0.7757539749145508,
-0.5877813100814819... |
Detailed Instructions: In this task, you will be shown a sentence, and you should determine whether it is overruling or non-overruling. In law, an overruling sentence is a statement that nullifies a previous case decision as a precedent by a constitutionally valid statute or a decision by the same or higher ranking court which establishes a different rule on the point of law involved. Classify your answers into overruling or non-overruling
Q: we reject the defendant's contention that the marriage relationship and the right of consortium deriving therefrom preclude the state from ever establishing the nonconsensual entry requisite to the crime of burglary, and we disapprove the third district's contrary ruling in vazquez.
A: | overruling | 9 | NIv2 | task274_overruling_legal_classification | zs_opt | [
-0.13055160641670227,
0.9527063965797424,
0.42296087741851807,
0.1514967381954193,
0.1148693785071373,
-0.21859368681907654,
0.6234787702560425,
0.42771315574645996,
0.07655070722103119,
-0.5901072025299072,
-0.47210338711738586,
-0.4670417904853821,
-0.5270071625709534,
-0.341711878776550... |
Teacher:You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: Convenhamos, eu digo que sou uma titã.
Student: | Voglio dire, siamo sinceri, io mi autodefinisco un titano. | 6 | NIv2 | task1280_ted_translation_pt_it | zs_opt | [
0.41627442836761475,
0.8214811682701111,
0.037118300795555115,
-0.2151571810245514,
-0.4711960256099701,
-0.9013821482658386,
-0.5551750063896179,
1.047459363937378,
0.5920825004577637,
0.17332768440246582,
0.5195761919021606,
0.226893812417984,
-0.28441405296325684,
-0.5697227716445923,
... |
This task is to translate a news commentary given in English language into French 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.
Example: Since their articles appeared, the price of gold has moved up still further. Gold prices even hit a record-high $1,300 recently.
Example solution: Depuis la parution de leurs articles, le cours de l’or a encore grimpé, pour atteindre récemment un plus haut historique de 1300 dollars l’once.
Example explanation: The given translation is accurate and precise, and preserves the meaning of the commentary.
Problem: The resulting austerity will hinder Europe’s growth, and thus that of its most distressed economies: after all, nothing would help Greece more than robust growth in its trading partners.
| Solution: Or l'austérité qui en résultera empêchera l'Europe de retrouver le chemin de la croissance. C'est particulièrement vrai pour les pays européens en difficulté, alors que rien ne bénéficierait davantage à la Grèce qu'un redémarrage économique de ses partenaires commerciaux. | 5 | NIv2 | task1371_newscomm_translation | fs_opt | [
-0.40574175119400024,
0.8331159353256226,
-0.2267725169658661,
-0.0371783971786499,
0.2948314845561981,
-0.09993134438991547,
-0.02286277897655964,
0.9160539507865906,
-0.023084774613380432,
0.0941295474767685,
-0.5945134162902832,
-0.006454409100115299,
-0.5090567469596863,
-0.25964447855... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Ex Input:
rguceHoehHzcKLmCtlasIGbx, NdeJdiXoehHzcKLmCtlaFxxdc
Ex Output:
a, c, d, e, f, h, i, j, k, l, m, n, o, t, x, z
Ex Input:
qEIIxDHTrRuAJ, svwxDHTrQBsr
Ex Output:
a, d, e, h, i, j, q, r, t, u, x
Ex Input:
jkKXdNNxLyWNvVfRQlqpQd, GaTPQfNxLyWNvVfEYuFdjmA
Ex Output:
| a, d, e, f, g, j, l, m, n, p, q, t, u, v, w, x, y
| 1 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.2846103310585022,
0.8421871066093445,
-0.10600543767213821,
-0.3400055766105652,
0.18650594353675842,
0.27828219532966614,
0.9807791709899902,
-0.055290594696998596,
-0.2418718934059143,
0.04272758215665817,
-0.8637848496437073,
-0.35223937034606934,
0.05914153531193733,
-0.260887414216... |
Given the task definition and input, reply with output. In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that define what the this logical operator does) of each logical operator between '{}' parenthesis. Here are the definitions of logical operators that you can use while generating command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
for the country of origin records of all rows , most of them fuzzily match to philippines .
| most_eq { all_rows ; country of origin ; philippines } | 5 | NIv2 | task210_logic2text_structured_text_generation | zs_opt | [
0.18304254114627838,
-0.0058796894736588,
-0.22630560398101807,
0.3827221095561981,
0.20069357752799988,
-0.32950571179389954,
0.5428253412246704,
0.3829424977302551,
0.10981280356645584,
-0.4395679831504822,
-0.5181432366371155,
0.15695372223854065,
-0.26048728823661804,
0.527840971946716... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Event: PersonX not does PersonY any favours. Intent: 1) to inflict pain. XEmotion: 1) has no feelings
Solution: horrible
Why? Based on the given input PersonX is trying to inflict pain on PersonY as it has no feelings. PersonY being a third person might show an emotion of feeling horrible which is provided in the output
New input: Event:PersonX is still in PersonX's infancy. Intent: 1) to help him. XEmotion: 1) satisfied
Solution: | like they have to take care of a child | 0 | NIv2 | task924_event2mind_word_generation | fs_opt | [
0.10107634961605072,
0.026264870539307594,
0.3301316499710083,
-0.47093823552131653,
-0.2105904519557953,
-0.48437219858169556,
1.3646464347839355,
0.4577370882034302,
0.42662501335144043,
-0.33833640813827515,
0.2455405294895172,
0.006089258007705212,
-0.30060723423957825,
0.4025803804397... |
Teacher:This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentioned in the passage
(ii) create questions which require information beyond what is provided in the passage in order to answer
(iii) replace an existing entity, number, date mentioned in the passage with other entity, number, date and use it in the question
(iv) create a question which is answerable from the passage and then replace one or two words by their antonyms or insert/remove negation words to make it unanswerable.
Teacher: Now, understand the problem? Solve this instance: Passage: Built around 1915, the Alaska Railroad (ARR) played a key role in the development of Alaska through the 20th century. It links north Pacific shipping through providing critical infrastructure with tracks that run from Seward to Interior Alaska by way of South Central Alaska, passing through Anchorage, Eklutna, Wasilla, Talkeetna, Denali, and Fairbanks, with spurs to Whittier, Palmer and North Pole. The cities, towns, villages, and region served by ARR tracks are known statewide as "The Railbelt". In recent years, the ever-improving paved highway system began to eclipse the railroad's importance in Alaska's economy.
Student: | What year was the Alaska Railroad destroyed? | 6 | NIv2 | task348_squad2.0_unanswerable_question_generation | zs_opt | [
0.4641440510749817,
0.1462995857000351,
-0.1940147578716278,
0.48229458928108215,
-0.26272818446159363,
0.11288654804229736,
0.2753683924674988,
0.24242177605628967,
-0.24316143989562988,
-0.29109418392181396,
-0.28844115138053894,
0.23431241512298584,
-0.8882424831390381,
-0.5857744216918... |
TASK DEFINITION: You are given a sentence in English. Your job is to translate the English sentence into Japanese.
PROBLEM: So it's a little bit like "" Star Wars, "" you know, but it's real.
SOLUTION: まるでスターウォーズのようですが本物です
PROBLEM: I feel up to that point I had seen a lot in the world, a lot of violence.
SOLUTION: 暴力やレイプが蔓延する世界で ― 多くを見てきたと思っていましたが
PROBLEM: We're developing these tools, but we share them freely with hundreds of groups all over the world, so people can study and try to treat different disorders.
SOLUTION: | 我々はこういったものを開発し皆が様々な障害の治療を研究できるよう世界中で数百のグループに自由に共有しています
| 8 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.5033496022224426,
0.3719314932823181,
-0.06696303188800812,
-0.2537479102611542,
-0.37785565853118896,
-0.4241189658641815,
0.7452203631401062,
0.9330841302871704,
0.3757249116897583,
-0.6351815462112427,
0.012003169395029545,
0.10352484881877899,
-0.5515861511230469,
0.02210581861436367... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
See one example below:
Problem: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقات کوچک در در تورین ، ایتالیا به نام پروژه پروفایل هکرها وجود داره.
Solution: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
Explanation: The Farsi sentence is correctly translated into Spanish, because the meaning is preserved.
Problem: برخی مواقع ، روزانه حدود 20 میلیون تُن بخار آب جذب بادهای مناطق استوایی می شود. و در نهایت بصورت باران در سراسر حوزه باران خیز لا پلاتا La Plata Basin می بارد. و در نهایت بصورت باران در سراسر حوزه باران خیز لا پلاتا La Plata Basin می بارد.
Solution: | Unas 20 mil millones de toneladas por día de vapor de agua extraídas por los vientos del noreste, que eventualmente se precipitan en forma de lluvia sobre la cuenca del Plata. | 4 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
-0.2740709185600281,
0.4995706379413605,
-0.43562889099121094,
-0.09606438130140305,
-0.7313675284385681,
-0.4029882550239563,
0.742620587348938,
0.3364638686180115,
-0.26571232080459595,
-0.27427056431770325,
-0.900055468082428,
0.5448188781738281,
-0.31190958619117737,
0.0781496092677116... |
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Q: Question1: What should I learn for game programming?, Question2: What should be the first programming language I learn if I want to become a game developer?
A: | Yes | 4 | NIv2 | task1287_glue_qqp_paraphrasing | zs_opt | [
-0.3656828999519348,
0.6638259291648865,
-0.20317405462265015,
0.23234981298446655,
-0.5433287024497986,
-1.265036702156067,
0.43455246090888977,
0.40228450298309326,
-0.3788082003593445,
-0.32375848293304443,
0.39917081594467163,
-0.7365115880966187,
-0.8107005953788757,
-0.34454208612442... |
Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
Example input: The site collects your cookies or tracking elements for a basic service or feature. Collection happens in an unspecified way, and your data is aggregated or anonymized.
Example output: Cookies and tracking elements
Example explanation: The type of user information collected is clearly stated in the given policy text as 'cookies or tracking elements'
Q: The site collects your health information for an unspecified purpose. Collection happens in an unspecified way, and your data's identifiability is not covered by our label scheme.
A: | Health | 3 | NIv2 | task684_online_privacy_policy_text_information_type_generation | fs_opt | [
-0.8348192572593689,
-0.11269314587116241,
-0.6243159770965576,
0.17122520506381989,
-0.6247764825820923,
-0.7382223606109619,
0.10932128876447678,
0.3689565360546112,
-0.1107785627245903,
0.8858100175857544,
0.7154512405395508,
0.055163681507110596,
-0.06703566759824753,
-0.05023801699280... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
E isto pode parecer-vos anti-social, mas para nós era apenas uma forma diferente de ser social.
Output: | Może się to wydać aspołeczne, ale nam dawało poczucie bliskości | 1 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-0.42970436811447144,
0.9546681642532349,
0.1895487904548645,
0.0880192369222641,
-0.2916364073753357,
-0.0730820745229721,
0.6343399882316589,
0.10655638575553894,
1.2036194801330566,
0.3848590850830078,
-0.7301784753799438,
0.5218775272369385,
-0.511046290397644,
-0.27495723962783813,
... |
instruction:
In this task, you are given two sets, and you need to count the number of elements at the union of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. Union of two given sets is the smallest set which contains all the elements of both the sets. To find the union of two given sets, A and B is a set that consists of all the elements of A and all the elements of B such that no element is repeated.
question:
Set1: '{6}', Set2: '{11}'. How many elements are there in the union of Set1 and Set2 ?
answer:
2
question:
Set1: '{4, 7, 10, 11, 16, 17}', Set2: '{2}'. How many elements are there in the union of Set1 and Set2 ?
answer:
7
question:
Set1: '{1, 2, 5, 7, 8, 10, 12, 15, 17, 19}', Set2: '{10, 20}'. How many elements are there in the union of Set1 and Set2 ?
answer:
| 11
| 9 | NIv2 | task244_count_elements_in_set_union | fs_opt | [
0.2711971700191498,
0.49803781509399414,
-1.1236515045166016,
0.10114734619855881,
-0.19198042154312134,
-0.5683298110961914,
0.41223084926605225,
0.45520395040512085,
-0.4791289269924164,
-0.2889328598976135,
-0.9780281186103821,
-0.08587486296892166,
-0.16142821311950684,
-0.081755131483... |
Given the task definition and input, reply with output. In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Passage: In 1897, Andrée's daring or foolhardy undertaking nourished Swedish patriotic pride and Swedish dreams of taking the scientific lead in the Arctic. The title of Engineer—Ingenjör Andrée—was generally and reverentially used in speaking of him, and expressed high esteem for the late 19th-century ideal of the engineer as a representative of social improvement through technological progress. The three explorers were fêted when they departed and mourned by the nation when they disappeared.
When they were found, they were celebrated for the heroism of their doomed two-month struggle to reach populated areas and were seen as having selflessly perished for the ideals of science and progress. The procession carrying their mortal remains from the ships into Stockholm on 5 October 1930, writes Swedish historian of ideas Sverker Sörlin, "must be one of the most solemn and grandiose manifestations of national mourning that has ever occurred in Sweden. One of the rare comparable events is the national mourning that followed the Estonia disaster in the Baltic Sea in September 1994."More recently, Andrée's heroic motives have been questioned, beginning with Per Olof Sundman's bestselling semi-documentary novel of 1967, The Flight of the Eagle. Sundman portrays Andrée as the victim of the demands of the media and the Swedish scientific and political establishment, and as ultimately motivated by fear rather than courage. Sundman's interpretation of the personalities involved, the blind spots of the Swedish national culture, and the role of the press are reflected in the film adaptation, Flight of the Eagle (1982), based on his novel and directed by Jan Troell. It was nominated for an Academy Award.
Appreciation of Nils Strindberg's role seems to be growing, both for the fortitude with which the untrained and unprepared student kept photographing, in what must have been a more or less permanent state of near-collapse from exhaustion and exposure, and for the artistic quality of the result. Out of the 240 exposed frames that were found on Kvitøya in waterlogged containers, 93 were saved by John Hertzberg at the Royal Institute of Technology in Stockholm, Strindberg's former workplace. In his article, "Recovering the visual history of the Andrée expedition" (2004), Tyrone Martinsson has lamented the traditional focus by previous researchers on the written records—the diaries—as primary sources of information; he renewed his claim for the historical significance of the photographs.
Some of the items from the expedition, including the balloon-silk boat and the tent, are on display at the Andréeexpeditionen Polar Centre at Grenna Museum, Sweden. The expedition is also featured in the Spitsbergen Airship Museum in Longyearbyen, Svalbard.
Question: Items from what expedition are on display at the Andréeexpeditionen Polar Centre at Grenna Museum, Sweden, and in the Spitsbergen Airship Museum in Longyearbyen, Svalbard?
| Andrée expedition. | 5 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.052023738622665405,
0.44302231073379517,
-0.5142272114753723,
-0.18756037950515747,
0.30010735988616943,
-0.06781667470932007,
0.4060658812522888,
-0.022345319390296936,
-0.289770245552063,
0.2223356068134308,
-0.25313684344291687,
0.9853605031967163,
-0.5893601179122925,
0.3248277306556... |
Detailed Instructions: Given a sentence in the English language, translate it into the Nepali language.
Problem:Text: In natural sciences, the theory of cause and effect is based on a variable assumption.
Solution: | प्राकृतिक विज्ञानहरुमा कार्यकारण सिद्धान्त एक चलराशि मान्यतामा आधारित हुन्छ ।
| 8 | NIv2 | task1514_flores_translation_entone | zs_opt | [
-0.43217262625694275,
0.501707911491394,
-0.027245188131928444,
-0.22137925028800964,
-0.5734868049621582,
-0.8788118362426758,
0.41812098026275635,
0.3016561269760132,
0.08099246770143509,
-0.5889143943786621,
-0.25837627053260803,
-0.02838301472365856,
-0.4782697856426239,
0.486299216747... |
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 that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
[Q]: Hypothesis: It's good to be polite to other drivers.
Update: You are surrounded by cops.
[A]: strengthener
[Q]: Hypothesis: You should share with your significant other.
Update: They already have their own food.
[A]: weakener
[Q]: Hypothesis: It's inconsiderate to be impatient for someone with an addiction to give it up suddenly.
Update: The person is only on their first day of therapy for their addiction.
[A]: | strengthener
| 5 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
-0.16834768652915955,
0.28967392444610596,
0.23175282776355743,
0.28221046924591064,
0.026961825788021088,
-0.9772226810455322,
0.3892841041088104,
1.0406979322433472,
0.25651413202285767,
-0.40310484170913696,
-1.4077712297439575,
-0.19138887524604797,
-0.007255370728671551,
-0.2097171545... |
instruction:
Predict the next word given an incomplete English Sentence.
question:
they were good you know the asylum people but there is so little scope for the imagination in an asylum only just in the other orphans it was
answer:
pretty
question:
the fact being that every one was too much occupied in his or her own affairs to think
answer:
of
question:
he saw a lady
answer:
| a
| 9 | NIv2 | task963_librispeech_asr_next_word_prediction | fs_opt | [
1.0170713663101196,
0.8329048752784729,
-0.06708817929029465,
-0.7551791667938232,
-0.4856904149055481,
-1.6617988348007202,
0.5182834267616272,
-0.05414070188999176,
0.2219548523426056,
0.02566591463983059,
-0.5806601047515869,
0.13233184814453125,
-0.7533220052719116,
0.16925624012947083... |
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Ex Input:
Abstract: Epitope vaccine is a promising option for therapeutic vaccination against Helicobacter pylori (H. pylori) infection. In this study, we constructed a multi-epitope vaccine with five epitopes and mucosal adjuvant E. coli heat-labile enterotoxin B subunit (LTB) named HUepi-LTB and evaluated its therapeutic effect against H. pylori infection in BALB/c mice model. HUepi-LTB containing three Th epitopes from UreB and two B cell epitopes from UreB and HpaA was constructed and expressed in E. coli. Oral therapeutic immunization with HUepi-LTB significantly decreased H. pylori colonization compared with oral immunization with PBS, and the protection was correlated with antigen-specific CD4+ T cells and IgG and mucosal IgA antibody responses. This multi-epitope vaccine may be a promising vaccine candidate that may help to control H. pylori infection.. Title: Therapeutic efficacy of a multi-epitope vaccine against Helicobacter pylori infection in BALB/c mice model.
Ex Output:
yes
Ex Input:
Abstract: The experience accumulated in cardiac cell therapy suggests that regeneration of extensively necrotic myocardial areas is unlikely to be achieved by the sole paracrine effects of the grafted cells but rather requires the conversion of these cells into cardiomyocytes featuring the capacity to substitute for those which have been irreversibly lost. In this setting, the use of human pluripotent embryonic stem cells has a strong rationale. The experimental results obtained in animal models of myocardial infarction are encouraging. However, the switch to clinical applications still requires to address some critical issues, among which the optimization of the cardiac specification of the embryonic stem cells, the purification of the resulting progenitor cells so as to graft a purified population devoid from any contamination by residual pluripotent cells which carry the risk of tumorigenesis, and the control of the expected allogeneic rejection by clinically acceptable methods. If the solution to these problems is a prerequisite, the therapeutic success of this approach will also depend on the capacity to efficiently transfer the cells to the target tissue, to keep them alive once engrafted, and to allow them to spatially organize in such a way that they can contribute to the contractile function of the heart.. Title: Molecular features of cellular reprogramming and development
Ex Output:
no
Ex Input:
Abstract: Organisms are constantly challenged by stresses and privations and require adaptive responses for their survival. The forkhead box O (FOXO) transcription factor DAF-16 (hereafter referred to as DAF-16/FOXO) is a central nexus in these responses, but despite its importance little is known about how it regulates its target genes. Proteomic identification of DAF-16/FOXO-binding partners in Caenorhabditis elegans and their subsequent functional evaluation by RNA interference revealed several candidate DAF-16/FOXO cofactors, most notably the chromatin remodeller SWI/SNF. DAF-16/FOXO and SWI/SNF form a complex and globally co-localize at DAF-16/FOXO target promoters. We show that specifically for gene activation, DAF-16/FOXO depends on SWI/SNF, facilitating SWI/SNF recruitment to target promoters, to activate transcription by presumed remodelling of local chromatin. For the animal, this translates into an essential role for SWI/SNF in DAF-16/FOXO-mediated processes, in particular dauer formation, stress resistance and the promotion of longevity. Thus, we give insight into the mechanisms of DAF-16/FOXO-mediated transcriptional regulation and establish a critical link between ATP-dependent chromatin remodelling and lifespan regulation.. Title: Influence of cigarette smoking on inhaled corticosteroid treatment in mild asthma.
Ex Output:
| no
| 1 | NIv2 | task1587_scifact_classification | fs_opt | [
0.51068115234375,
-0.30594855546951294,
-0.2099212408065796,
0.6481364965438843,
0.5825511813163757,
-0.7947461009025574,
1.0882978439331055,
0.9584124088287354,
-0.07952328026294708,
0.3486912250518799,
-0.7303130626678467,
0.3778870701789856,
-0.05748933553695679,
0.35628730058670044,
... |
In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
Q: (A) being mad at my parents
(B) being upset because my wife won't let me come to our newborn gender reveal ultrasound
A: | A | 4 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
-0.5058786869049072,
0.0971343070268631,
-0.059912845492362976,
-0.42401883006095886,
-0.6597729921340942,
-0.25216326117515564,
-0.2432643175125122,
0.19700810313224792,
0.8719093203544617,
0.4965422749519348,
-0.72796630859375,
0.30160465836524963,
0.1270865648984909,
-0.9008683562278748... |
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 category.
[EX Q]: @_elennamichelle nope not at all but I'm stuck in a house full of fucking niggers help me escape 😩
[EX A]: Hate Speech
[EX Q]: "@ShanTaughtHer: These catfish hoes thinkin they slick.. But niggas catching on 😌"
[EX A]: Offensive
[EX Q]: @FusionRocks @jumabr
I likes me dem Mexican hoes. Day suck me off for 5 dollas
[EX A]: | Offensive
| 6 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.28537648916244507,
0.013984167017042637,
0.34223926067352295,
0.8276703953742981,
-0.2295471876859665,
-0.9208469986915588,
-0.10552874952554703,
1.0063921213150024,
0.16537253558635712,
0.3270588219165802,
0.004933343268930912,
-0.6841110587120056,
-0.9750283360481262,
-0.9695882797241... |
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.
Example Input: ザヒド氏は警察に対し、彼の兄弟が電話に出なかったので、木曜日の夜遅くに兄弟の家に急いで向かったと言った。
Example Output: Zahid ប្រាប់ប៉ូលីសថា គាត់បានប្រញ៉ាប់ទៅទីកន្លែងរបស់បងប្រុសគាត់នៅល្ងាចថ្ងៃព្រហស្បតិ៍ បន្ទាប់ពីប្អូនប្រុសគាត់មិនលើកទូរស័ព្ទរបស់គាត់។
Example Input: コーメン基金のポリシーに準拠するとPlannedParenthoodは失格で、これはPlannedParenthoodの資金の使い方や報告について、クリフ・スターンズ議員が行っている係争中の調査が原因である。
Example Output: គោលនយោបាយរបស់កូម៉ិនបានធ្វើអោយអង្គការផែនការគ្រួសារបាត់បង់សិទ្ធិដោយសារតែមានការស៊ើបអង្កេតដែលពុំទាន់បានសម្រចមួយ ទៅលើនិតិវិធីដែលអង្គការផែនការគ្រួសារចំណាយប្រាក់ និងរាយការណ៍ពីទឹកប្រាក់របស់ខ្លួន ដែលធ្វើឡើងដោយអ្នកតំណាងខ្លីហ្វស្តើនស៍។
Example Input: 彼がマーケティング担当の指導者に昇進した時、ランドマークのセミナーへの参加を止められるかどうかミラーに尋ねたが、会社の幹部は全員参加する義務があり、ランドマークは「会社の言語そのもの」だと言われた、と彼は語った。
Example Output: | គាត់ប្រកាសថានៅពេលគាត់បានឡើងជានាយកទីផ្សារគាត់បានសួរមីលល័រថាបើគាត់អាចចប់ចូលរួមវគ្គព្រំដែនរឺអត់តែត្រូវគេនិយាយថាវាជាបញ្ញតិ្តសំរាប់ថ្នាក់ប្រតិបត្តិរបស់ក្រុមហ៊ុងទាំងអស់គ្នាហើយព្រំដែនគឺជា"ក្រុមហ៊ុនមានភាសាពិសេស។"
| 3 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
-0.2069825828075409,
-0.42656540870666504,
-0.1969253122806549,
-0.3128198981285095,
0.16880516707897186,
-0.3881433308124542,
0.7119706869125366,
0.09543067216873169,
-0.6220404505729675,
0.31044802069664,
-0.9137935638427734,
0.19753479957580566,
-0.7925589084625244,
-0.00958126410841941... |
Detailed Instructions: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Problem:cpppcpcpcpcpcp
Solution: | pcpcpcpcpcp | 8 | NIv2 | task850_synthetic_longest_palindrome | zs_opt | [
-0.3851308226585388,
0.9498238563537598,
-0.45919546484947205,
-0.28017657995224,
-0.6121526956558228,
-0.3800291419029236,
1.0859487056732178,
-0.05042525380849838,
0.1504717320203781,
-0.3974619209766388,
-0.5045713186264038,
-0.0332290418446064,
-0.533018946647644,
0.12671644985675812,
... |
Definition: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Input: Masaki Kobayashi directed which movies?
Output: | Harakiri, Kwaidan, Samurai Rebellion, Black River | 2 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
0.009775561280548573,
-0.05881671607494354,
-0.6758825778961182,
0.33656197786331177,
-0.531424343585968,
0.5603271722793579,
1.155465841293335,
-0.3865548372268677,
0.37567925453186035,
-0.2187785655260086,
-0.9528091549873352,
-0.38951486349105835,
0.013268998824059963,
0.389802575111389... |
Given the task definition and input, reply with output. In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
['b', 'F', '9743']
| 9743 | 5 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
0.08343087136745453,
0.8983925580978394,
-0.644119381904602,
-1.1014437675476074,
-0.3465908169746399,
0.22283074259757996,
0.5143845081329346,
-0.3161904513835907,
-0.057080116122961044,
0.023983724415302277,
-0.8496243953704834,
0.3677786886692047,
0.27162888646125793,
-0.187027096748352... |
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 category.
Q: RT @natal_mendoz: Whore slut cunt bitch nigga
A: | Hate Speech | 4 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-1.4024531841278076,
0.6773148775100708,
0.48702073097229004,
0.689234733581543,
-0.383198082447052,
-0.5541507005691528,
-0.11418194323778152,
0.6805022954940796,
0.48687922954559326,
0.4320034682750702,
-0.45128098130226135,
-0.3603707551956177,
-0.8034071326255798,
-0.8525623083114624,
... |
TASK DEFINITION: Given an entity as input, output another entity which is part of the input entity. These are entities of meronym. In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., output entity) is in a part-of relationship with its holonym (i.e., input entity).
PROBLEM: gneiss
SOLUTION: calcium carbonate
PROBLEM: forelimb
SOLUTION: bone structure
PROBLEM: split-hoofed mammals
SOLUTION: | jaw
| 8 | NIv2 | task471_haspart_answer_generation | fs_opt | [
-0.4115521013736725,
0.38766977190971375,
0.024893831461668015,
-0.2282605916261673,
-0.46183016896247864,
0.007103295065462589,
0.11316969245672226,
-0.12373948842287064,
0.20998963713645935,
-0.6338420510292053,
-0.7194831371307373,
0.2513241171836853,
-0.5293512344360352,
0.406382024288... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: Hanno preso i telai di queste grandi bici, messi insieme alla meccanica delle bici da corsa, hanno preso i freni delle moto, e hanno mischiato i vari ingredienti.
Student: | Więc wzięli ich ramy, dodali przerzutki z rowerów szosowych, dołożyli hamulce motocyklowe, połączyli części różnych rowerów. | 6 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
-0.17084574699401855,
0.8375308513641357,
-0.427873432636261,
-0.04226528853178024,
-0.44286876916885376,
-0.22376301884651184,
0.34248483180999756,
0.5759941339492798,
-0.2287348508834839,
-0.5497035384178162,
-0.6895263195037842,
0.49503034353256226,
0.18775102496147156,
0.19617381691932... |
Instructions: In this task you are given a premise and two alternatives in Haitian. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Input: Jounalis la te ekri yon biografi sou lavi imanitè a.
(1)Imanitè a te difisil pou jounalis la fè entèvyou.(2)Jounalis la te kapte pa travay imanitè a.
Output: | 2 | 3 | NIv2 | task1168_xcopa_commonsense_reasoning_ht | zs_opt | [
-0.431537926197052,
0.15267236530780792,
-0.32482728362083435,
0.6785971522331238,
-0.3502480387687683,
0.018188048154115677,
0.2830784320831299,
0.26565417647361755,
0.237637460231781,
-0.13641729950904846,
-1.1316146850585938,
-0.24704712629318237,
0.027873709797859192,
0.156499296426773... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
--------
Question: I_TURN_RIGHT I_RUN I_TURN_LEFT I_TURN_LEFT I_JUMP I_TURN_LEFT I_TURN_LEFT I_JUMP
Answer: jump opposite left twice after run right
Question: I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_RUN
Answer: run opposite right and run opposite right twice
Question: I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK
Answer: | walk right thrice and look around left
| 7 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.37619906663894653,
0.960002601146698,
-0.48691049218177795,
0.23552826046943665,
-0.20025427639484406,
0.24414758384227753,
-0.07743685692548752,
0.693035900592804,
-0.19409294426441193,
-0.41892778873443604,
-1.0232434272766113,
-0.24954785406589508,
-0.6813072562217712,
0.0445739179849... |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
این مساله کاملا شخصی است.
| It's something very personal. | 5 | NIv2 | task1265_ted_translation_fa_en | zs_opt | [
-0.872828483581543,
1.0055491924285889,
0.42900484800338745,
-0.06490346789360046,
-0.03480160981416702,
-0.2732551097869873,
0.8056966066360474,
-0.1191239058971405,
0.590804934501648,
-0.07886204123497009,
-0.17021961510181427,
0.9178178310394287,
-0.19269990921020508,
0.1534961313009262... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
[Q]: "" ¿Que facemos agora?
[A]: "" ¿Qué hacemos ahora?
[Q]: Un compañeiro chamado Matthew Harris da Universidade de Wisconsin, en Madison, descubriu unha maneira de estimular o xene dos dentes, e foi capaz activar o xene dos dentes e producir polos con dentes.
[A]: Un compañero llamado Matthew Harris de la Universidad de Wisconsin, en Madison, descubrió una manera de estimular el gen de los dientes y pudo activar el gen de los dientes y producir pollos con dientes.
[Q]: Ninguén se ergue pola mañá e pensa "" Humm, vou mercar unhas cantas moléculas de tres a doce carbonos para botar no depósito e conducir con ledicia cara ao traballo. "" Non, o que pensamos é "" Ugh, teño que mercar gasolina.
[A]: | Nadie se levanta en la mañana pensando: "" ¡Guau! Voy a comprar de 3 a 12 moléculas de carbono para poner en el tanque y conducir feliz a mi trabajo "". No, pensamos "" ¡Uh! Tengo que comprar combustible.
| 5 | NIv2 | task1240_ted_translation_gl_es | fs_opt | [
-0.29631710052490234,
0.822166919708252,
-0.22115558385849,
-0.8907935619354248,
-0.6700649857521057,
-1.3564659357070923,
-0.004016207531094551,
1.0553559064865112,
0.10320494323968887,
0.1000288650393486,
-0.27004557847976685,
0.39080578088760376,
-0.2785530686378479,
-0.212911918759346,... |
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example Input: Japanese: 「私達は信頼できるすべての党に人権に対するそのような侵害を直ぐに止めるよう訴え、そして、一つ一つ独立してこれらの事件を調査することにいち早く着手するよう政府に働きかける」と、彼は言った。
Khamer: "យើងអំពាវនាវឲ្យគ្រប់ភាគីទទួលខុសត្រូវទាំងអស់បញ្ឈប់ជាបន្ទាន់នូវអំពើររំលោភសិទ្ធមនុស្សបែបបនេះ ហើយយើងបានជំរុញអោយរដា្ឋភិបាលចាត់វិធានការជាបន្ទាន់ដើម្បីធ្វើការស៊ើបអង្កេតទៅលើករណីទាំងនេះ ដោយឯករាជ្យ" គាត់បាននិយាយ។
Example Output: Yes
Example Input: Japanese: ヤンキースが初期の戦いの答えを出そうと考えたちょうどその時、チームは苦しい光景に見舞われていた。
Khamer: ការស្លាប់របស់ Saray ធ្វើអោយចំនួននាក់ស្លាប់របស់អ្នកកាសែត al-Iraqiya ចាប់តាំងពីការទំលាក់ Saddam Hussien ឡើងដល់15នាក់។
Example Output: No
Example Input: Japanese: 米国地質調査所（USGS)は、最初の地震は午前9時27分（-3協定世界時）にアマゾン川のアクレ州にあるクルゼイロ・ド・スルから165キロメートルの場所で起こり、リヒタースケールで6.1と測定された、と報告した。
Khamer: កាលពីដើមឆ្នាំ2006 ក្រុមប្រឹក្សានេះ គឺជាប្រធានបទក្នុងរបាយការណ៍ជាបន្តបន្ទាប់ ពីអ្នកដឹងព័ត៌មានផ្ទៃក្នុងរបស់ក្រុមប្រឹក្សាដែលត្រូវបានគេចោទប្រកាន់ តាមរយៈប្លក់។
Example Output: | No
| 3 | NIv2 | task1123_alt_ja_khm_answer_generation | fs_opt | [
0.22257882356643677,
-0.33946847915649414,
0.052461158484220505,
0.1681671142578125,
0.3372615575790405,
-0.6863510608673096,
0.5206635594367981,
0.38018569350242615,
-0.47321557998657227,
-0.09864004701375961,
0.112911157310009,
0.29185834527015686,
-0.7032848596572876,
0.1224467009305954... |
You are given a sentence and your task is to generate another sentence that supports the given input.
Input: Consider Input: The carbon atoms in these chains and rings can then form bonds with other elements in many ways to produce various functional groups.
Output: Carbon (c) is essential to living organisms because carbon bonds in many ways with itself to form chains.
Input: Consider Input: Amino acid A functional group which consists of a carbon with a carboxylic acid, "-COOH" and an amine, "-NH 2 .
Output: Amino acids contain both a carboxylic acid group and a(n) amine group.
Input: Consider Input: It remains liquid down to absolute zero at ordinary pressures, but it can be readily be solidified by increasing the pressure.
| Output: Continually increasing the pressure on the liquid will eventually cause the substance to solidify.
| 2 | NIv2 | task1530_scitail1.1_sentence_generation | fs_opt | [
0.7816042900085449,
0.9440021514892578,
-0.13927146792411804,
-0.6210570335388184,
0.17438480257987976,
-1.5162227153778076,
0.17686989903450012,
0.5441122055053711,
-1.249817967414856,
0.14999303221702576,
-0.3325892686843872,
-0.8507049083709717,
-1.136634349822998,
-0.13270923495292664,... |
Given the task definition and input, reply with output. In this task, given a sentence in the Thai language, your task is to convert it into the English language.
จากการศึกษาโครงสร้างของกระดูกพบว่าเขาได้รับบาดเจ็บที่หัวเข่าอย่างรุนแรง และมีปัญหาเกี่ยวกับฟัน
| The skeleton of this man reveals that he had serious knee injury and tooth problems. | 5 | NIv2 | task537_alt_translation_th_en | zs_opt | [
0.05315304920077324,
0.7595303654670715,
0.2416495680809021,
-0.5465663075447083,
0.2558271884918213,
-0.3558526039123535,
0.4897700250148773,
0.5982968211174011,
0.20034436881542206,
-0.19603636860847473,
-0.06289978325366974,
0.9980921745300293,
-0.3256264328956604,
0.5248093605041504,
... |
instruction:
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.
question:
Category: PEOPLE & PLACES
Clue: The people of this British dependency in the Atlantic are nicknamed "Onions"
answer:
bermuda
question:
Category: 19th CENTURY AMERICA
Clue: The provisional constitution of the Confederacy was adopted on February 8, 1861 in this city
answer:
montgomery, alabama
question:
Category: BETTER KNOWN AS...
Clue: His birth name, Michael Douglas, was in use, so this Batman chose this stage name
answer:
| michael keaton
| 9 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
0.5824428796768188,
0.6194171905517578,
-0.23651939630508423,
-0.5100400447845459,
0.136797696352005,
-0.95657879114151,
1.0929654836654663,
-0.20361953973770142,
0.7998436689376831,
0.2901453375816345,
-0.16468527913093567,
-0.46738117933273315,
-1.0554680824279785,
-0.06428439170122147,
... |
Given the task definition and input, reply with output. In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closest option. Note that URLs in the text have been replaced with [Link].
U.S. Applauds Dalai Lama Group in China (AP) AP - The State Department welcomed on Tuesday the arrival in China of a delegation representing the Dalai Lama, the exiled Tibetan spiritual leader.
| World | 5 | NIv2 | task379_agnews_topic_classification | zs_opt | [
-0.8864134550094604,
0.039185941219329834,
-0.2727012634277344,
0.6059726476669312,
-0.275346577167511,
0.3422629237174988,
-0.18052519857883453,
-0.2673793435096741,
0.10364982485771179,
0.22020569443702698,
-0.33357810974121094,
0.6683468222618103,
0.07383172959089279,
0.1749287247657776... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
Example: "" אף אדם אינו אי העומד בפני עצמו.
Output: "" Nessun uomo è un'isola completamente a sé.
The Hebrew sentence is correctly translated into Italian, because the meaning is preserved.
New input case for you: אך מחקר המשך גייס כמה אנשים שאהבו מוזיקת מוצרט וקבוצה נוספת של אנשים שהיו מעריצי סיפורי האימה של סטיבן קינג.
Output: | Ma uno studio successivo ha raggruppato alcune persone a cui piaceva Mozart e poi un altro gruppo di persone a cui piacevano le storie dell'orrore di Stephen King. | 1 | NIv2 | task1111_ted_translation_he_it | fs_opt | [
-0.4878518581390381,
0.6434060335159302,
-0.23917734622955322,
0.05444791540503502,
-0.09973224997520447,
-0.5840507745742798,
0.5395387411117554,
0.2954132556915283,
0.08894196152687073,
-0.26686757802963257,
-0.8287047743797302,
0.2491367906332016,
-0.5883733630180359,
-0.017262708395719... |
Detailed 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.
See one example below:
Problem: [9, 40, -33, 12, 17, -32, 40]
Solution: 0
Explanation: The minimum absolute difference is 0 because '40 - 40 = 0' and '40' appears in the list twice. So this is a good example.
Problem: [-62, 62, 39, 38, -15, 50, 4, 80]
Solution: | 1 | 4 | NIv2 | task1445_closest_integers | fs_opt | [
-0.4402737319469452,
0.24130159616470337,
-0.06013360992074013,
-0.020409954711794853,
-0.0011984225129708648,
-0.22828379273414612,
0.7387917041778564,
0.19663120806217194,
0.06123720109462738,
-0.1116378903388977,
-0.2521197497844696,
-0.274521142244339,
-0.512175440788269,
-0.3003159165... |
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to Croatian. 3) Quantities like millions or billions should be translated to their equivalent in Croatian language 4) Note the input is all case-sensitive except for special placeholders and output is expected to be case-sensitive. 5) The output must have Croatian characters like Ž or č and the output must preserve the Croatian language characters. 6) The input contains punctuations and output is expected to have relevant punctuations for grammatical accuracy.
Ex Input:
What underpinned this shame, this "I'm not good enough," -- which we all know that feeling: "I'm not blank enough.
Ex Output:
Ono što je poduprlo taj sram, taj "Nisam dovoljno dobra," - svi mi dobro znamo taj osjećaj: "Nisam dovoljno bijela.
Ex Input:
Give back the Black Hills.
Ex Output:
Vratimo Black Hills.
Ex Input:
Well, it has its pluses and minuses.
Ex Output:
| Pa, ima svojih prednosti i nedostatka.
| 1 | NIv2 | task1365_opustedtalks_translation | fs_opt | [
-0.1575814038515091,
0.2578030824661255,
-0.03468681871891022,
0.028810866177082062,
-0.06688295304775238,
-1.115309715270996,
0.7996773719787598,
0.15662936866283417,
-0.2576170265674591,
-0.4535484313964844,
-0.38324880599975586,
0.8762911558151245,
-0.9789819717407227,
0.076563514769077... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Q: Y si observa a las culturas del mundo, lo único que tiene que hacer es entender la mitología y verá cómo se comportan, cómo hacen negocios.
A: | Jeśli spojrzycie na kultury na całym świecie, musicie jedynie zrozumieć mitologię, aby pojąć, jak się zachowują i jak prowadzą biznesy. | 4 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.9216701984405518,
1.0261192321777344,
0.09251156449317932,
-0.36504507064819336,
-0.4023185670375824,
-1.0660089254379272,
-0.319882869720459,
-0.5141035318374634,
-0.5377899408340454,
-0.5121818780899048,
-0.4039361774921417,
-0.27423959970474243,
-0.5407679080963135,
0.214825242757797... |
Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
The site collects your generic personal information for analytics or research. Collection happens in an unspecified way, and your data is identifiable. | Generic personal information | 0 | NIv2 | task684_online_privacy_policy_text_information_type_generation | zs_opt | [
-1.0887194871902466,
-0.15105319023132324,
-0.6334939002990723,
0.29816707968711853,
-0.6694105863571167,
-0.917932391166687,
0.01857176423072815,
0.02009320631623268,
0.27857160568237305,
0.7592043876647949,
0.30826687812805176,
0.1356309950351715,
-0.4631544351577759,
-0.3319499492645263... |
Instructions: In this task, you are given a premise sentence. Your task is to write a new sentence by substituting the subject and object (i.e., the input's subject should be output's object and vice versa.). The generated sentence must be fluent and shouldn't change the voice (i.e., passive or active) of the input.
Input: The scientists called the secretary that stopped the professor .
Output: | The professor called the scientists . | 3 | NIv2 | task1364_hans_answer_generation | zs_opt | [
-0.39462393522262573,
0.5135976076126099,
0.002349148504436016,
-0.5115727782249451,
0.03499382734298706,
-0.28798264265060425,
-0.3414562940597534,
-0.15494391322135925,
0.6635322570800781,
-0.7835175395011902,
-0.9124710559844971,
-0.5979796051979065,
0.05031229555606842,
-0.299434721469... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Example input: Terán seguro para pagar a receita?
Example output: 処方箋を支払う為の保険は ？
Example explanation: The Galician sentence is correctly translated into Japanese, because the meaning is preserved.
Q: Apple encripta por defecto toda a información gardada nos iPhones; e os mensaxes de texto enviados entre os seus clidentes son encriptados por defecto sen que o usuario faga cousa ningunha.
A: | iPhoneに保存されるデータはすべてデフォルトで暗号化され利用者間でやり取りされるテキストメッセージもデフォルトで暗号化されていますユーザーが設定する必要はありません | 3 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.6241860389709473,
0.8116831183433533,
0.11057029664516449,
-0.841071367263794,
-0.06728432327508926,
-1.2682723999023438,
0.9790722131729126,
-0.1203029602766037,
-0.14777451753616333,
-0.47426754236221313,
-0.10550719499588013,
0.4422919452190399,
-0.605663537979126,
0.6099945306777954... |
Instructions: In this task you are given a tweet that contains some form of irony. You must classify the type of irony the tweet has. Label the tweets ("polarity","situational","other") based on the irony they have. Situational irony happens when a situation fails to meet some expectations, Label these instances as "situational". polarity irony happens when irony is achieved by inverting the intended sentence, Label these instances as "polarity". There are other kinds of ironies that are neither polarity nor situational, Label these instances as "other". Note that URLs in the text have been replaced with [Link].
Input: Wow I really have the best luck known to man :smiling_face_with_open_mouth_and_cold_sweat:
Output: | polarity | 3 | NIv2 | task387_semeval_2018_task3_irony_classification | zs_opt | [
-1.5253669023513794,
0.6046110391616821,
0.6960129737854004,
-0.2545045018196106,
-0.25672656297683716,
0.3394675850868225,
0.1512564718723297,
0.06792216747999191,
0.6444464921951294,
-0.0919220894575119,
-0.507849395275116,
-0.34753331542015076,
-0.19206207990646362,
-0.10134747624397278... |
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 category.
Example input: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Example output: Hate Speech
Example explanation: The writer mentions emotions like hating so it is clearly a hate speech.
Q: “@239rell: If you got paid 2million dollars to eat a nugget of shit would u eat it?” Smash that bitch
A: | Offensive | 3 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.7267629504203796,
0.40487033128738403,
0.6289011836051941,
0.3764752149581909,
-0.26011788845062256,
-0.5397757291793823,
0.00044056540355086327,
0.5772181749343872,
0.3765351176261902,
0.11876377463340759,
-0.0072266957722604275,
-0.4616057276725769,
-0.918870747089386,
-0.806799054145... |
Detailed Instructions: Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
Q: prime, firstrate, alert, fine, prison
A: | alert | 9 | NIv2 | task142_odd-man-out_classification_no_category | zs_opt | [
1.3725922107696533,
0.30382317304611206,
-0.09299817681312561,
-0.3085903227329254,
-0.122681625187397,
-0.5481176376342773,
0.022893434390425682,
0.6249169707298279,
0.11260218918323517,
0.09712690114974976,
-1.2880465984344482,
-0.8963597416877747,
-1.0548522472381592,
0.1674285382032394... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
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 like it had sprite in it, so I thought surely she gave me the wrong one. It turns out that \"fresh juice\" is really margarita mix on tap from the same gun as the sprite. I asked for something fresh to replace the horrible margarita and received a rocks glass with just muddled lime and a salted rim. I'm not sure it contained any tequila. Horrible! It's not that hard to make a fresh margarita!
Solution: 2 stars
Why? The writer has been annoyed in this place and has enjoyed the food. So, "2 stars" sounds reasonable for it.
New input: What an awesome party and a great way to kick of the Christmas season! Unfortunately we had to leave a little eary so we missed the White Elephant gift exchange. But I really enjoyed the hospitality of The Corner and had a great time anyway. I loved the Piehole Cherry Vanilla Porter they were serving. That was a phenomenal beer. And I had never even heard of Historic Brewing Company so now I have a new place to try out in Flagstaff next time we go. All the bites I had to eat were yummy and also enjoyed perusing the offerrings in their market. If Ilived or worked downtown, I would definitely be a regular at this place.
Solution: | 5 stars | 0 | NIv2 | task1292_yelp_review_full_text_categorization | fs_opt | [
0.12781155109405518,
0.3483628034591675,
-0.17945384979248047,
-0.08967900276184082,
0.4508746266365051,
-0.2515257000923157,
0.47858449816703796,
1.2396526336669922,
-0.08261825144290924,
-0.2542869448661804,
0.06163769215345383,
-0.035177081823349,
-0.8054485321044922,
0.3350030183792114... |
In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an empty list. Your list of numbers must be inside brackets. Sort the numbers in your answer in an ascending order, that is, no matter what the order of the numbers in the lists is, you should put them in your answer in an ascending order.
Input: Consider Input: [10, 5, 8, 9, 3, 2] , [3, 1, 2, 5, 4, 8]
Output: [2, 3, 5, 8]
Input: Consider Input: [10, 1, 4, 9, 9, 6, 9, 1, 1] , [9, 2, 4, 1, 3, 1, 4, 2, 3]
Output: [1, 4, 9]
Input: Consider Input: [7, 10, 4, 10, 4, 2] , [1, 1, 1, 9, 7, 7]
| Output: [7]
| 2 | NIv2 | task098_conala_list_intersection | fs_opt | [
0.5106180906295776,
0.11465971916913986,
-0.5022755861282349,
-0.04475398361682892,
0.20303130149841309,
-0.06722445785999298,
0.7010257840156555,
0.8796509504318237,
-0.4034516215324402,
0.2329130321741104,
-0.9174131155014038,
-0.5180761814117432,
-0.18779659271240234,
-0.199488148093223... |
instruction:
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
question:
وأنصح باستخدامها بشدة لاكتشاف مواهبك ومهاراتك الطبيعية.
answer:
Recomendo-o para descobrirem aquilo em que são naturalmente bons.
question:
أمشي في الشوارع كامرأة ، في سلام مع نفسي.
answer:
Ando na rua como uma mulher, e estou em paz comigo mesma.
question:
الثقافة مصطلح عضوي ، أليس كذلك ؟
answer:
| Cultura é um termo orgânico, não é?
| 9 | NIv2 | task1109_ted_translation_ar_pt | fs_opt | [
0.004320844542235136,
1.0353779792785645,
-0.38913190364837646,
-0.27717041969299316,
-0.46741050481796265,
-0.30005961656570435,
0.4475117325782776,
0.004652065224945545,
0.5309361815452576,
-0.3470454514026642,
-0.5792055130004883,
0.26588839292526245,
-0.9320664405822754,
0.284797638654... |
Q: In this task, you are given a short passage that conveys a stereotype or an anti-stereotype. A stereotype is an over-generalized belief about a particular group of people(based on race, ethnicity, gender, age, abilities, etc.). An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into two classes: stereotype or anti-stereotype.
Passage: Poor people are not able to travel.
A: | Stereotype | 7 | NIv2 | task316_crows-pairs_classification_stereotype | zs_opt | [
-0.05689487233757973,
0.28887832164764404,
0.1168726459145546,
0.45115000009536743,
0.02759474515914917,
0.032685600221157074,
0.8065268993377686,
0.7617562413215637,
0.24274888634681702,
-0.31126290559768677,
-0.8649389743804932,
0.1802120804786682,
-0.49862241744995117,
-0.04596163704991... |
Detailed Instructions: In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
Q: An airport in this city that was decommissioned in 2008 and notable for being built from limestone will now be the home of the Bread and Butter fashion show for the next decade. One of its main public areas is named for a Russian Tsar who visited in 1805 and is the home to a massive TV tower that is the largest freestanding structure in western Europe. Other major public places include Gendarmenmarkt, home of the concert hall and the so called "French" and "German" cathedrals, and Postdamer Platz, which lies just south of Unter den Linden, the Brandenburg Gate, and the Reichstag. For 10 points, name this capital of Germany.
A: | History | 9 | NIv2 | task521_trivia_question_classification | zs_opt | [
-0.11634419858455658,
1.0545750856399536,
0.30437546968460083,
-0.32378020882606506,
0.11356055736541748,
0.5108970403671265,
0.39582741260528564,
0.9170469045639038,
0.20416134595870972,
0.15386399626731873,
-0.39600613713264465,
0.30302947759628296,
-1.0762959718704224,
0.032945927232503... |
Definition: In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answer
Input: 9813 @ 7584 @ 8993 # 5551 @ 5142 # 9828 @ 1454 # 2575
Output: | 15032 | 2 | NIv2 | task087_new_operator_addsub_arithmetic | zs_opt | [
0.18806292116641998,
0.17333704233169556,
-1.3438113927841187,
0.1438950002193451,
-0.3812728822231293,
-0.34000200033187866,
0.47239792346954346,
1.4293766021728516,
0.6909731030464172,
0.21339790523052216,
-0.7753391265869141,
-0.46787723898887634,
0.314691960811615,
0.23298153281211853,... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given two sentences separated by ", so". You should decide whether the first sentence can be the cause of the second sentence. If you can see a possible causation, answer with "plausible", otherwise answer with "not plausible".
The photographer got the child to smile, so it was a win-win situation for both of us
Output: | plausible | 1 | NIv2 | task391_causal_relationship | zs_opt | [
-1.2129733562469482,
0.5570026636123657,
0.3675187826156616,
-0.38876402378082275,
-0.029685107991099358,
0.5421876907348633,
0.2239162176847458,
1.081812858581543,
0.5633887052536011,
0.263837993144989,
-0.15483586490154266,
0.049834925681352615,
-0.0642547458410263,
-0.36407896876335144,... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Comment: I cannot wait to see Drumpf out of there and We, The People, get to roll back every single bit of his executive order "legacy".
Such a stupid clown.
Insult
Comment: Trump is at least trying, but he can't do it alone. It's the cowardly, spineless Republicans who aren't acting. Like the liberals, they are afraid that voters won't re-elect them if their freebies are taken away.
Insult
Comment: If you need it for medical purposes, you need it. It's not necessary to smoke it and if you have a doctor's prescription then it would be hard for an employer to fire or sanction you.
| Non-insult
| 0 | NIv2 | task328_jigsaw_classification_insult | fs_opt | [
-0.6112511157989502,
0.6101808547973633,
0.8248876333236694,
-0.08273306488990784,
-0.03785603493452072,
-0.1548582911491394,
0.6175916194915771,
0.6715059280395508,
0.3724662661552429,
0.5540010333061218,
0.21091511845588684,
-0.09959401190280914,
-0.09509243071079254,
-0.8714172840118408... |
Instructions: In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.
Input: ['H', '6775', '675', '4477', '329', 'E', '6477', '1315', '9737', 'x', 's', '3515', '9573', 'O', '6503', 'N', '5955', '9491', '1391', 'V', '5735', 'F', '9941', '6997', 'P', '525', '5021', 'H', 'Y', 'J', 'm', '3697', '3113', 't']
Output: | 8, 6775, 675, 4477, 329, 5, 6477, 1315, 9737, 24, 19, 3515, 9573, 15, 6503, 14, 5955, 9491, 1391, 22, 5735, 6, 9941, 6997, 16, 525, 5021, 8, 25, 10, 13, 3697, 3113, 20 | 3 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | zs_opt | [
-0.15280552208423615,
-0.23229098320007324,
0.14911602437496185,
-0.21078293025493622,
0.20129062235355377,
-0.880423903465271,
-0.40111687779426575,
0.0882873684167862,
0.20230720937252045,
-0.13156333565711975,
-0.7967464923858643,
-0.14718806743621826,
0.3806019425392151,
-0.44105163216... |
Detailed Instructions: 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 non-hateful. Answer "hateful" or "Non-hateful". Note that the URLs in the text have been replaced with [Link].
Q: Post: @AgustinLaje Y seguro después denuncian por acoso y violación a los pobres hombres que trataban de separarlas
A: | Non-hateful | 9 | NIv2 | task334_hateeval_classification_hate_es | zs_opt | [
-0.6205016374588013,
0.037650857120752335,
0.49045857787132263,
0.5790764689445496,
-0.054984159767627716,
-1.050778865814209,
0.5848718881607056,
1.428210735321045,
-0.12198539078235626,
0.47867435216903687,
-0.1717648208141327,
0.28615623712539673,
-0.5321899652481079,
-0.247394174337387... |
Instructions: In this task, you are given a question. Your task is to generate an answer that is relevant to the question.
Input: Have you read any bestsellers lately?
Output: | In the past | 3 | NIv2 | task565_circa_answer_generation | zs_opt | [
-0.7513400316238403,
0.9530797004699707,
0.12075278908014297,
-0.1936323046684265,
0.2900073528289795,
-0.31448763608932495,
0.8607122302055359,
-0.5944066047668457,
0.4957526922225952,
-0.18422384560108185,
-1.2247555255889893,
-0.17889893054962158,
-1.3816834688186646,
-0.152408286929130... |
instruction:
You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixing things, shaking them, etc. To make sure that the generated process does not lead to the asked outcome, you can introduce objects or events unrelated to the context of the question e.g. 'cleaning the keyboard by making an elephant sit on them'; or you can create contradictory statements e.g. 'drying wet keyboards with running water'. In your responses, avoid typos and misspellings.
question:
How to turn on wifi on an android phone
answer:
Use a finger to swipe downward from the top of the display toward the bottom. Then find the 2 short horizontal lines and swipe those downward as well. Tap the icon that says "Bluetooth" under it.
question:
Hang upper cabinets without having to hold their full weight.
answer:
Make a mark where you want the bottom of the cabinets to go. Use a piece of paper to draw a straight line across the wall. Place the top edge of a 2x4 even with the line, screw into place. Rest the bottom of the cabinets on the 2x4 while you screw into place.
question:
How to remove a mole at home.
answer:
| Use organic apple juice. Put a small amount of apple juice on a cotton ball. Place the cotton ball on the mole and bandage it securely in place with a bandage. Repeat this process twice a day with fresh cotton balls for at least 7 days.
| 9 | NIv2 | task081_piqa_wrong_answer_generation | fs_opt | [
0.11389768868684769,
0.7655854225158691,
-0.7997549772262573,
0.07828979194164276,
0.2286606729030609,
-0.4495428800582886,
0.38275521993637085,
0.9037423133850098,
-0.3554525077342987,
0.626144528388977,
-0.6248892545700073,
0.7671627402305603,
-0.5429495573043823,
0.11083434522151947,
... |
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 question. So, the correct answer words must lie within the associated fact. The correct answer can be a word, phrase, or even a sentence.
Example input: Fact: pesticides can harm animals.
Question: What can harm animals?
Example output: pesticides.
Example explanation: The answer is present in the span of the fact.
Q: Fact: Using solar energy to generate power reduces greenhouse gases.
Question: What can be used to reduce greenhouse gases while generating power?
A: | Solar energy. | 3 | NIv2 | task041_qasc_answer_generation | fs_opt | [
-0.0008231975371018052,
1.0588464736938477,
-0.28010743856430054,
-0.18192720413208008,
-0.654245138168335,
-1.8958687782287598,
0.4571872353553772,
0.6649213433265686,
-0.07368431240320206,
0.009965794160962105,
-0.9383760690689087,
0.5422108173370361,
-0.40203148126602173,
-0.25099778175... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Example Input: In Germany , the group led by Brandler and Thalheimar , Roy 's friends , was thrown out for the same reason .
Example Output: जर्मनी में भी राय के मित्र बैंन्डलर और थेल्हीमर जिसे दल के नेता थे उसे भी उसी कारण अलग कर दिया गया ।
Example Input: Thereafter, both partners back and forth their hips to provide friction to the penis into the vagina.
Example Output: इसके पश्चात दोनो साझेदार अपने कूल्हों को आगे-पीछे कर लिंग को योनि में घर्षण प्रदान करते हैं।
Example Input: Before that Mahadeviverma got Succeria award for Niraja in 1974. In 1942 She was given a medal for Smruti ki rekahayein.
Example Output: | इससे पूर्व महादेवी वर्मा को ‘नीरजा' के लिये १९३४ में ‘सक्सेरिया पुरस्कार' १९४२ में ‘स्मृति की रेखाएँ' के लिये ‘द्विवेदी पदक' प्राप्त हुए।
| 3 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
-1.0570622682571411,
0.9040049314498901,
-0.2709628939628601,
0.16773435473442078,
-0.41819724440574646,
0.014005564153194427,
0.16854986548423767,
-0.08379785716533661,
0.2142070233821869,
-0.2054707407951355,
-0.8524604439735413,
0.20480304956436157,
-0.36903005838394165,
0.0314435251057... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
Example: What is the part-of-speech tag of the word "the" in the following question: Who were the builders of the mosque in Herat with fire temples ?
Example solution: IN
Example explanation: This is a good example. POS tag of the is DT and IN is incorrect.
Problem: What is the part-of-speech tag of the word "How" in the following question: How many lakes are contained in the city which contains the University of Minnesota ?
| Solution: DT | 5 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.5762744545936584,
0.6887288689613342,
-0.3684273064136505,
0.1105811819434166,
0.21989524364471436,
-0.8927707672119141,
0.7245485186576843,
0.5763821601867676,
-0.6103776693344116,
-0.1549530029296875,
-0.1811189502477646,
0.3709143400192261,
-0.6284621357917786,
-0.0038554987404495478,... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
SK: Non.
A: | سام: لا. | 7 | NIv2 | task1241_ted_translation_gl_ar | zs_opt | [
-0.7133877873420715,
1.351071834564209,
0.23053091764450073,
-1.3088856935501099,
-0.17877551913261414,
-0.7548665404319763,
-0.0758056789636612,
-0.4593009352684021,
0.2115165889263153,
0.7054082155227661,
1.0684767961502075,
-0.08794061839580536,
-0.7771732807159424,
0.6484010219573975,
... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Q: Sentence 1: A lady in a fold up chair eats while a man looks inside a car door that is parked on a curb. Sentence 2: The lady likes the man.
A: | These two individuals are not the same sex. | 9 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
-0.42313966155052185,
0.41769468784332275,
0.16693346202373505,
-0.4988884925842285,
-0.01916741020977497,
0.39159494638442993,
0.1754455864429474,
0.3941367566585541,
0.4074026346206665,
-0.21172082424163818,
-0.4231595993041992,
-1.2860486507415771,
-0.2527553141117096,
0.014144333079457... |
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: เธอได้รับการปลอบใจโดยผู้ช่วยบาทหลวงจากโบสถ์เวียดนาม
A: | 彼女は、ベトナムの教会から来た仲間の牧師によって慰められていた。 | 4 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
0.18799333274364471,
0.26329129934310913,
-0.6953125596046448,
-0.010669399984180927,
-0.0862637385725975,
-1.0965087413787842,
1.1967298984527588,
-0.05948834866285324,
0.42968904972076416,
-0.13463665544986725,
-0.10032004117965698,
0.7723222970962524,
-0.74720299243927,
1.09085083007812... |
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 `Q:` followed by the answer prefix `A:`, and the follow-up question has a prefix `FOLLOWUP_Q:`.
Ex Input:
CONTEXT: Estasi dell Anima was composed for the movie by David Sardy, there isn't a longer version. Searching through Spotify, I found Ennio Morricone's L'Estasi Dell'oro, which has a similar feel and might be an inspiration. It has similar instrumentation (discounting the electric guitar) and a driving beat with flourishes leading to a grand orchestral swell. It's 3:23 minutes long, might be helpful. <sep> Q: Was the track "Estasi Dell Anima" newly composed for "Zombieland"? A: I found Ennio Morricone's L'Estasi Dell'oro, which has a similar feel and might be an inspiration <sep> FOLLOWUP_Q: It's a great piece but too short...do you know if there is a longer rendition available?
Ex Output:
Yes
Ex Input:
CONTEXT: There's no canon answer I've ever heard or read. Also, don't forget that Wick was a hard-core hitman and killer from a very early age, so saying he was a "puppy" or "fragile" in the beginning doesn't hold a lot of merit, although it could be said his wife dying brought out the coldness that was always inside. <sep> Q: John receives a small puppy and the beginning and later on takes with him a stronger piitbull puppy Was this and act of symbolisim? A: Wick was a hard-core hitman and killer from a very early age, so saying he was a "puppy" or "fragile" in the beginning doesn't hold a lot of merit Q: After his wifes death, john receives a new puppy named Daisy. Did get the puppy to cope with his wifes death? A: it could be said his wife dying brought out the coldness that was always inside <sep> FOLLOWUP_Q: Did John overcome his sadness after his wife died?
Ex Output:
No
Ex Input:
CONTEXT: From what we see and hear in the scene prior, Rustin "Rust" Cohle (McConaughey) knows there's an extremely suspicious, unsympathetic and likely armed crowd gathering in the front. The rock that goes through the window is thrown right at Rust. So, it's easy enough to imagine a bullet will follow shortly. Once the armed group outside is being fired upon by the shotgun, Rust expects return fire. This explains why he exits the living room. Rust is also trying to secure the Iron Crusaders member, Ginger (Joseph Sikora). This explains why he moves towards him. That a bullet just happens to go through the wall in between the two and the camera is likely just a conveniently plausible location for the effect to happen. Given the position of the two relative to the broken window being fired through, it is very conceivable that a bullet could just as easily hit either of them. That said, we can not actually see anyone through the window at any time. At most, we see shadows prior to the rock throw. We do not see any of the people who are returning fire. Rust sees that the situation is becoming unmanageable and makes his play to secure a way out, grab Ginger and leave. There is nothing to indicate that he noticed someone, for example, raising a gun and aiming towards him. <sep> Q: How did Rust know the shot was coming right there in True Detective S1E4?
Ex Output:
| Yes
| 1 | NIv2 | task1442_doqa_movies_isanswerable | fs_opt | [
0.8495056629180908,
0.23531925678253174,
-0.85113525390625,
0.8074167370796204,
0.22628650069236755,
-0.8666613698005676,
0.749083399772644,
0.6851980686187744,
-0.09863293170928955,
-0.07458283007144928,
-0.12333355098962784,
0.2945024371147156,
-0.8462796807289124,
0.7095022201538086,
... |
Teacher: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 given paragraph.
Teacher: Now, understand the problem? Solve this instance: Paragraph- Sent 1: The Domestic Violence Legal Assistance Program fills the gap of legal resources for domestic violence survivors who can't afford an attorney.
Sent 2: Domestic violence survivors in Jackson, Vicksburg, Hattiesburg, Oxford and Pascagoula can all get help.
Sent 3: Julia Crockett, deputy director of Central Southwest Mississippi Legal Services Corp., said the program expects to help nearly 1,000 domestic violence victims.
Sent 4: Crockett said legal help gives domestic abuse survivors a way to rebuild their lives.
Sent 5: "They have been made to feel by the abuser that no one is going to help them do anything, so when they come to us they are desperate," she said.
Sent 6: "Those who need legal help and don't get it feel totally lost.
Sent 7: Because then they feel like they are forced to stay in that situation."Sent 8: Crockett said the program, funded by a $300,000 grant from the U.S. Justice Department, has no economic restrictions on who can get help.
Sent 9: Legal services typically helps the poor.
Sent 10: Gladys Bunzy, who said she was in an abusive relationship with a boyfriend for eight years, said such a program is long overdue and could be a lifeline for those escaping violent relationships.
Sent 11: "When I finally made up my mind to leave, I had a restraining order put against him and that was $50 but that was $50 well spent to me," said Bunzy, 40.
Sent 12: "For people who can't afford it, this will be a godsend ... If a woman knows she is going to get some help that will be a burden off her mind, if the law will help her keep that person away from her."Sent 13: Gwen Bouie-Haynes, project director of the Domestic Violence Services Center for Catholic Charities Inc., said often domestic violence survivors do not have the money to seek legal representation.
Sent 14: "Legal assistance is a major issue for women fleeing a domestic violence situation," she said.
Sent 15: "Often times women are in need of immediate legal assistance services for the protection of the mother and the child.
Sent 16: To get a protective order you need to be represented by an attorney."Sent 17: Crockett said the pilot program was launched in 1998 at the Haven House Family Shelter Inc., a domestic violence shelter for women and children in Vicksburg.
Sent 18: The program has helped victims in 90 court cases, and 150 legal counseling sessions have been held there.
Question: Why is legal assistance a major obstacle for women who need to get out of a violent relationship?.
Student: | They often have no money and have children. | 6 | NIv2 | task054_multirc_write_correct_answer | zs_opt | [
0.07487379759550095,
0.7179206609725952,
-0.5993897914886475,
-0.7008566856384277,
1.0074186325073242,
-0.5520222187042236,
0.7513526678085327,
1.1476563215255737,
0.013303657062351704,
0.14900246262550354,
-0.3292849659919739,
0.7248579263687134,
-1.062276840209961,
-0.5455584526062012,
... |
In this task, you are given a premise sentence. Your task is to write a new sentence by substituting the subject and object (i.e., the input's subject should be output's object and vice versa.). The generated sentence must be fluent and shouldn't change the voice (i.e., passive or active) of the input.
Ex Input:
The doctor in front of the athlete thanked the tourists .
Ex Output:
The tourists thanked the doctor .
Ex Input:
The tourist who advised the scientists recommended the bankers .
Ex Output:
The scientists recommended the tourist .
Ex Input:
The scientists mentioned the managers .
Ex Output:
| The managers mentioned the scientists .
| 1 | NIv2 | task1364_hans_answer_generation | fs_opt | [
-0.313520610332489,
-0.0005560985300689936,
-0.4045069217681885,
0.07200460880994797,
0.24724993109703064,
-0.468818724155426,
0.27418774366378784,
0.2194892317056656,
0.58782559633255,
-0.6465740203857422,
-1.0089590549468994,
0.04212718829512596,
-0.23278683423995972,
-0.266846239566803,... |
instruction:
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".
question:
Article: the rafah crossing between the hamas-ruled gaza strip and egypt was opened on saturday to allow hundreds of muslim pilgrims to leave the besieged territory , palestinian officials said . Title: general motors draws out cash
answer:
no
question:
Article: the us supreme court granted a last-minute stay of execution to troy davis , an african-american who was due to be put to death by lethal injection in the southern state of georgia for the murder of a policeman . Title: google unveils mobile phone on sale in october
answer:
no
question:
Article: `` the class , '' a film shot in a rough paris school that won the top prize at cannes this year , has been chosen as france 's entry for the #### foreign film oscar , the selection committee said friday . Title: basque nationalist parties press ahead with referendum plans
answer:
| no
| 9 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.16871590912342072,
-0.523650050163269,
-0.29127055406570435,
-0.31198275089263916,
-0.5109012722969055,
-0.8123079538345337,
0.465215265750885,
0.30016854405403137,
-0.055146731436252594,
0.8970619440078735,
-0.776424765586853,
0.4295564889907837,
-0.24459384381771088,
-0.01683864183723... |
Teacher:In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Teacher: Now, understand the problem? Solve this instance: Trainer fans who camped out for four days have finally got their hands on a pair of limited edition Kanye West sneakers.
Student: | Kanye West trainers 'sell out in an hour' in Nottingham | 6 | NIv2 | task1358_xlsum_title_generation | zs_opt | [
-0.7619537115097046,
0.7555325031280518,
0.12804310023784637,
0.012459024786949158,
0.03351394832134247,
-0.5537216663360596,
0.05231671780347824,
-0.06193254888057709,
-0.6253820061683655,
0.34631577134132385,
-0.11861130595207214,
0.3615514039993286,
-0.2347932755947113,
-0.2584697008132... |
Detailed Instructions: In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Q: Military Sexual Assault Prevention Act of 2013 - Prohibits any person convicted under federal or state law of rape, sexual assault, forcible sodomy, or incest from being commissioned or enlisting in the Armed Forces. Requires administrative separation from the Armed Forces, when not punitively discharged, for any member of the Armed Forces (member) on active duty, and any reserve member in an active status, who is convicted of rape, sexual assault, forcible sodomy, or an attempt thereof (covered offenses). Allows the Secretary of the military department concerned to waive such a separation in the interests of national security on a case-by-case basis. Directs the Secretary of Defense (DOD), with respect to any charge under the Uniform Code of Military Justice (UCMJ) that alleges any of the covered offenses, to require the military department Secretaries to restrict disposition authority to specified high-command officers authorized to convene special courts-martial under the UCMJ. States as the policy of the United States that any charge regarding the covered offenses should be disposed of by court-martial rather than non-judicial punishment or administrative action. Requires a commanding officer who receives a report of a sexual-related offense involving a member to act upon the report within 24 hours, including by submitting the report to the next higher officer in that chain of command or referring such report to the appropriate office of special investigation. Requires inclusion in a member's personnel service record of a substantiated complaint of a sexual-related offense. Requires commanding officer review of a member's history of substantiated sexual offenses upon a member's transfer to the new command. Requires sexual assault forms and records to be retained for at least 50 years. Amends the National Defense Authorization Act for Fiscal Year 2013 to require the Secretary to retain for at least 50 years certain records concerning an incident of sexual assault. (Current law mandates such retention only at the request of a member who files a specified report.)
A: | Military Sexual Assault Prevention Act of 2013 | 9 | NIv2 | task1659_title_generation | zs_opt | [
0.1666596233844757,
-0.0964726060628891,
-0.8294590711593628,
-0.28277647495269775,
0.6618399620056152,
-0.37963196635246277,
1.2484689950942993,
1.0081181526184082,
-0.21526789665222168,
0.14710739254951477,
-0.26471468806266785,
0.7492779493331909,
-0.8721802234649658,
-0.024227827787399... |
Teacher:In this task, you have to generate the title of the recipe given its required ingredients and directions.
Teacher: Now, understand the problem? Solve this instance: ingredients: 'chicken', '1 jar I Feel Like Chicken Tonight',<sep> directions: 'Follow directions on label.', 'This is one of my favorites.'
Student: | Chicken Tonight | 6 | NIv2 | task569_recipe_nlg_text_generation | zs_opt | [
-0.8265657424926758,
0.28750738501548767,
0.35590678453445435,
0.1835682988166809,
-0.2348378747701645,
-0.8792412281036377,
0.13770617544651031,
0.3407362699508667,
-0.7129392623901367,
-0.06079478561878204,
0.10823214054107666,
-0.1899491846561432,
-0.9455795288085938,
-0.342113316059112... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the Japanese 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).
この戦闘のあいだに、カナダは２０００人の水兵、王立カナダ空軍の７６２人のメンバーを失った。
Output: | During the Battle, Canada lost about 2000 Sailors and 762 members of the Royal Canadian Air Force. | 1 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
-0.881550669670105,
0.4243965744972229,
0.1606076955795288,
-1.0060662031173706,
0.3220970034599304,
-0.12063758075237274,
1.060077428817749,
0.3099878132343292,
0.0751628428697586,
-0.07325975596904755,
0.1386735588312149,
-0.19717037677764893,
-0.40487366914749146,
0.10907518863677979,
... |
Definition: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
Input: Sentence 1: well i can't think of no i can't think of anything else to say about that either Sentence 2: I have a lot more to say about that.
Output: | telephone | 2 | NIv2 | task197_mnli_domain_answer_generation | zs_opt | [
-1.2552183866500854,
0.49406933784484863,
0.14642442762851715,
-0.09503014385700226,
0.11646667122840881,
0.340459406375885,
-0.006904404144734144,
0.8362480401992798,
0.35078486800193787,
-0.22987325489521027,
-0.15620627999305725,
0.09328431636095047,
-0.3596474528312683,
-0.410932481288... |
TASK DEFINITION: In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
PROBLEM: ['H', 'q', 'S', '3929', 'a']
SOLUTION: H, q, S, a
PROBLEM: ['N', 'f', 'z', 'm', 'c', 'h', 'x', 'N', 'm', '3211', 't', '6275', 'b', '2597', 't', '1135', '9579', 'n', 'E', 'a']
SOLUTION: N, f, z, m, c, h, x, N, m, t, b, t, n, E, a
PROBLEM: ['5625', 'x', '699', 'd', '7993', '693', 'V', '3597', '7913', '9351', 'V', 'd', '7469', 'W', '1293', 'j', 'T', 'j', '5365', '881', '9977', '8789', 'c']
SOLUTION: | x, d, V, V, d, W, j, T, j, c
| 8 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | fs_opt | [
0.4836910367012024,
-0.3948991894721985,
-0.3026157021522522,
-0.09430518746376038,
-0.02516256645321846,
-0.3242746591567993,
0.6354833841323853,
0.38349851965904236,
-0.22180813550949097,
0.17800670862197876,
-0.4500729441642761,
-0.07901515811681747,
0.16942203044891357,
0.2408823072910... |
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
Let me give you an example: ['q', '31', 'a', 'd', '53', '85', 'p', '77']
The answer to this example can be: 1, 3, 5, 7, 8
Here is why: Here, the numbers in the list are '31', '53', '85' and '77', and the unique digits used in the list are '1, 3, 5, 7, 8' in ascending order.
OK. solve this:
['l', 'o', '249', 'i', 'j', 'r', 'v', 'u', '245', '245']
Answer: | 2, 4, 5, 9 | 8 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | fs_opt | [
-0.4806658923625946,
0.3508041203022003,
-0.3782781660556793,
-0.9340013861656189,
0.0795062780380249,
0.37961381673812866,
0.9068135023117065,
-0.020858189091086388,
-0.43914517760276794,
0.4685834050178528,
-0.6194621920585632,
-0.04098626971244812,
-0.7137478590011597,
-0.15107493102550... |
Detailed Instructions: The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
Problem:PersonX forms PersonY opinion
Solution: | to give out ideas | 8 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
-0.26531344652175903,
0.4669223725795746,
0.01798200234770775,
-0.34803837537765503,
-0.21864478290081024,
-0.9286473989486694,
0.6875190734863281,
0.2504553198814392,
0.4176051616668701,
-0.24494607746601105,
-0.13492542505264282,
-0.2649420201778412,
-0.5982625484466553,
0.53682470321655... |
Instructions: In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Input: I baked my first batch of these muffins and was pleased that they were so easy to make and tasted so good. Then I stored them in the refrigerator since gluten free home baked goods are notorious for molding. I ate one straight out of the frig and it was great! I guess the flavors melded together after being stored a few hours. I finished the batch one at a time out of the frig without re-heating any of them. They were so good that way I couldn't bring myself to try them any other way. :) Our family has been navigating the area of gluten free eating for over 10 years. The choices just keep getting better as more companies are becoming aware of celiac disease. I have created an astore through Amazon that has the gluten free items we have had the pleasure of trying. [...]
Output: | 5 | 3 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
0.38049378991127014,
-0.35741564631462097,
0.13933256268501282,
0.13944989442825317,
0.5591932535171509,
-0.04711969196796417,
0.26092326641082764,
0.9591124057769775,
-0.19683030247688293,
0.1485728770494461,
-0.39074718952178955,
0.04973103106021881,
-0.8326539993286133,
-0.2302821725606... |
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 list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Teacher: Now, understand the problem? If you are still confused, see the following example:
6, 14, ['9545', '5185', '1667', 'w', 's', '9559', 'T', 'u', 'U', '6843', 'L', 'l', '6365', '7103', 'A', '2381', '5037', 'X', '4487', 'd']
Solution: 9559, T, u, U, 6843, L, l, 6365, 7103
Reason: Here, all the elements between the 6th element and 14th element are '9559', 'T', 'u', 'U', '6843', 'L', 'l', '6365', and '7103'.
Now, solve this instance: 1, 4, ['d', 'R', 'v', '3193', '2079']
Student: | d, R, v, 3193 | 2 | NIv2 | task091_all_elements_from_index_i_to_j | fs_opt | [
0.6238657832145691,
0.2937222421169281,
-0.7256258726119995,
-0.5066447854042053,
-0.29729190468788147,
-0.39758190512657166,
0.2877368628978729,
0.22204703092575073,
-0.9159708619117737,
-0.05629827827215195,
-0.5322649478912354,
-0.3012309670448303,
-0.1880781650543213,
-0.21210283041000... |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
One example is below.
Q: English sentence: How is this possible
A: Olee kwere omume?
Rationale: The Igbo translation means the same as the original sentence in the English language.
Q: English sentence: And a harvest of righteousness is sown in peace by those who make peace."
A: | Na a owuwe ihe ubi nke ezi omume a na-agha n'udo site ndị na-eme udo." | 9 | NIv2 | task452_opus_paracrawl_en_ig_translation | fs_opt | [
0.030784456059336662,
1.2487820386886597,
0.16153237223625183,
0.03443782031536102,
-0.24258019030094147,
-1.6247175931930542,
0.2507178485393524,
0.5502659678459167,
-0.19904865324497223,
-0.6295522451400757,
-0.29095467925071716,
0.16668596863746643,
-0.9149638414382935,
-0.0577133856713... |
Instructions: In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Input: Reviews: Right eye paint chipped off and scuff marks if missing pain in clown nose . Swing does not sit level and clowns shirt in the back shows mechanics underneath instead of hiding the device . Poorly made and looks like it was previously used or mishandled during packaging
Category: home
Output: | True | 3 | NIv2 | task1308_amazonreview_category_classification | zs_opt | [
-0.979851484298706,
0.3046591579914093,
0.1992507427930832,
-0.2157931625843048,
0.04696459695696831,
0.061778947710990906,
0.4326673746109009,
0.3460342586040497,
-0.29897403717041016,
0.5363346934318542,
-0.12348835170269012,
0.3905145525932312,
-0.48158150911331177,
0.12722866237163544,... |
Detailed Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then return 'None'.
Problem:Na vier dagen terrein besluiten we om het trailparcours te volgen .
Solution: | None | 8 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | zs_opt | [
-0.33352458477020264,
0.4269962012767792,
-0.028343508020043373,
-0.02368423342704773,
-0.5164945721626282,
-0.8865770101547241,
1.8011209964752197,
-0.3248670995235443,
-0.1638590395450592,
-0.39995235204696655,
-0.5591627359390259,
0.28246018290519714,
0.24405516684055328,
0.000586484791... |
The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Given such a dialogue, output the price range the user if looking for which can take one of four values: Cheap, Moderate, Expensive and Don't Care. Output cannot be any other value than the four values. Note that if the user asks for the prices of items provided at a pub, restaurant or coffee shop but doesn't mention the price range they are looking for then the correct classification will be Don't Care. If the user does not mention a particular price, the correct classification will be Don't Care.
System: 'Thank you for calling the Cambridge Information system. Your call will be recorded for research purposes. You may ask for information about a place to eat, such as a restaurant, a pub, or a cafe. How may I help you?'
User: 'um i need a restaurant in new chesterton'
System: 'What type of food would you like? For example, East asian, Contemporary, or International.'
User: 'it doesnt matter'
System: 'Are you looking for a venue in the Girton or New Chesterton area?'
User: 'hangup sil'
System: 'Are you looking for a venue in the Girton or New Chesterton area?'
User: 'yes chesterton'
System: 'What type of food would you like? For example, Mexican and Tex Mex, Seafood, or Thai.'
User: 'hangup sil'
System: 'Twenty-four is a great restaurant and it's in the Chesterton part of town.'
User: 'hmm sil'
System: 'What type of food would you like? For example, Contemporary, or Italian.'
User: 'umumum sil'
System: 'What type of food would you like? For example, Mexican and Tex Mex, pub, or Continental.'
User: 'whats the phone number and address'
System: 'Twenty-four is located on 24 Cambridge Science Park, Milton Road and its phone number is 01223395800.'
User: 'it doesnt matter'
System: 'Twenty-four is in the moderate price range.'
User: 'whats the phone number and address'
System: 'Twenty-four is on 24 Cambridge Science Park, Milton Road and its phone number is 01223395800.'
User: 'hangup sil'
System: 'Twenty-four is a great restaurant.'
User: 'thank you thank you good bye thank you good bye'
| Don't Care | 0 | NIv2 | task1500_dstc3_classification | zs_opt | [
-0.06927931308746338,
0.08867168426513672,
-0.3554145097732544,
-0.18775241076946259,
0.10349126160144806,
-0.65215665102005,
0.5065884590148926,
0.5304840803146362,
-0.02261599898338318,
0.07010868936777115,
0.21304592490196228,
-0.006726715248078108,
-0.37282100319862366,
-0.408082425594... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Let me give you an example: Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had been shopping for fruit to give Jon.
The answer to this example can be: N
Here is why: Tom's reason for buying the fruit is not known.
OK. solve this:
Sentence 1: Three healthcare professionals are looking over a chart or brochure in a nurse's station. Sentence 2: Three healthcare professionals are looking at a chart.
Answer: | C | 8 | NIv2 | task190_snli_classification | fs_opt | [
-0.3983920216560364,
0.33866751194000244,
0.5001292824745178,
-0.5502513647079468,
0.36003297567367554,
-1.1237095594406128,
-0.29488405585289,
0.5737801194190979,
0.37138551473617554,
0.3188016414642334,
-0.16734635829925537,
-0.017410235479474068,
-0.2623254954814911,
-0.4850140213966369... |
In this task, you're given a text which is the body of a document and a title which is the title of the document. Here the title is present in the document and it is the entity which is referred in the document. The title might have some text in parentheses, for example: "HMS Mallow (K81)", or be slightly different from what is present in the text. If they still refer to the same entity, then it is a correct title. Indicate your answer as "Yes" if the title is correct, otherwise indicate your answer as "No". Do not generate anything else apart from "Yes" or "No"
Text: Mathematical Sciences Foundation (MSF) is an institute of education and research located in Delhi India. Its goal is the promotion of mathematics and its applications at all levels from school to college to research.
Title: Kemerovo State University | No | 0 | NIv2 | task630_dbpedia_14_classification | zs_opt | [
-0.377880334854126,
0.5174792408943176,
0.31814074516296387,
-0.9000512957572937,
-0.038377001881599426,
-0.45162224769592285,
0.7294728755950928,
0.02400982938706875,
-0.004322754219174385,
-0.23490279912948608,
-0.4076724946498871,
0.23535066843032837,
-0.5832567811012268,
-0.03573209792... |
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 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: Joanne McLeod is a Canadian figure skating coach. She is the skating director at the Champs International Skating Centre of BC (formerly known as the BC Centre of Excellence). Here current and former students include Emanuel Sandhu, Mira Leung, Kevin Reynolds, Jeremy Ten, Nam Nguyen, and many others. In 2012, McLeod became the first level 5 certified figure skating coach in British Columbia., Victor Kraatz, MSC (born April 7, 1971) is a Canadian former ice dancer. In 2003, he and his partner, Shae-Lynn Bourne, became the first North American ice dancers to win a World Championship., Allie Hann-McCurdy (born May 23, 1987 in Nanaimo, British Columbia) is a Canadian ice dancer. McCurdy began skating at age eight and was a singles skater until age 12 when she switched to ice dancing. In 2003 she teamed up with Michael Coreno, with whom she was the 2010 Four Continents silver medalist and the 2008 Canadian bronze medalist. The pair retired in June 2010, to coach at the Gloucester Skating Club., Maikki Uotila - Kraatz ( born 25 February 1977 ) is a Finnish ice dancer . She is a former Finnish national champion with Toni Mattila . She married Victor Kraatz on June 19 , 2004 . The two coach in Vancouver , where they are the ice dancing directors at the BC Centre of Excellence . She and Kraatz have two sons , born September 14 , 2006 and July 10 , 2010 ., Burnaby is a city in British Columbia, Canada, located immediately to the east of Vancouver. It is the third-largest city in British Columbia by population, surpassed only by nearby Surrey and Vancouver., Canada (French: ) is a country in the northern half of North America. Its ten provinces and three territories extend from the Atlantic to the Pacific and northward into the Arctic Ocean, covering , making it the world's second-largest country by total area and the fourth-largest country by land area. Canada's border with the United States is the world's longest land border. The majority of the country has a cold or severely cold winter climate, but southerly areas are warm in summer. Canada is sparsely populated, the majority of its land territory being dominated by forest and tundra and the Rocky Mountains. About four-fifths of the country's population of 36 million people is urbanized and live near the southern border. Its capital is Ottawa, its largest city is Toronto; other major urban areas include Montreal, Vancouver, Calgary, Edmonton, Quebec City, Winnipeg and Hamilton., British Columbia (BC) is the westernmost province of Canada, with a population of more than four million people located between the Pacific Ocean and the Rocky Mountains.
British Columbia is also a component of the Pacific Northwest and the Cascadia bioregion, along with the U.S. states of Idaho, Oregon, Washington and Alaska., The "Champs International Skating Centre of British Columbia" (formerly known as the 'BC Centre of Excellence') is one of two major figure skating training centers in Canada. Located in Burnaby, British Columbia, it is home to many great national and international skaters. The programs there are overseen by a staff, including Joanne McLeod, who coaches 3-time Canadian men's national champion Emanuel Sandhu; Bruno Marcotte, who competed at the 2002 Winter Olympics; Victor Kraatz, the 2003 World Champion in ice dancing, and Maikki Uotila, who was a national champion in Finland. The center operates out of Canlan Ice Sports Burnaby 8 Rinks. Notable skaters who train there include Emanuel Sandhu, Mira Leung, Allie Hann-McCurdy & Michael Coreno, Jessica Millar & Ian Moram, Jeremy Ten, and Kevin Reynolds. This skating school is sometimes known as a training site for international competitors to practice for competitions in Vancouver. Champs International hosts its annual competition known as the BC/YK SummerSkate Competition every August., Shae-Lynn Bourne, MSC (born January 24, 1976) is a Canadian ice dancer. In 2003, she and partner Victor Kraatz became the first North American ice dancers to win a World Championship. They competed at three Winter Olympic Games, placing 10th at the 1994 Winter Olympics, 4th at the 1998 Winter Olympics, and 4th at the 2002 Winter Olympics., Vancouver, officially the City of Vancouver, is a coastal seaport city on the mainland of British Columbia, Canada, and the most populous city in the province., Subject: maikki uotila, Relation: country_of_citizenship, Options: (A) american (B) british (C) canada (D) finland (E) montreal
Solution: finland
Why? This is a good example, as maikki uotila is citizen of the finland.
New input: Context: Hartwig Altenmüller (born 1938, in Saulgau, Württemberg, Germany) is a German Egyptologist. He became professor at the Archaeological Institute of the University of Hamburg in 1971. He worked as an archaeologist in Saqqara from 1969 to 1982, and then the Valley of the Kings (where he worked on KV13, KV14 and KV47) from 1984 to 1998, retiring in 2003., Saqqara, also spelled Sakkara or Saccara in English , is a vast, ancient burial ground in Egypt, serving as the necropolis for the Ancient Egyptian capital, Memphis. Saqqara features numerous pyramids, including the world-famous Step pyramid of Djoser, sometimes referred to as the Step Tomb due to its rectangular base, as well as a number of mastabas (Arabic word meaning 'bench'). Located some south of modern-day Cairo, Saqqara covers an area of around ., Tomb KV13, located in the Valley of the Kings in Egypt, was cut and decorated for the burial of the noble Bay of the Nineteenth Dynasty. An ostraca published in the French Egyptological journal BIFAO in 2000 records that Chancellor Bay was executed by pharaoh Siptah. Consequently, Bay was never buried in his tomb. Moreover, no funerary goods were found in the tomb belonging to Bay. It was later reused by Amenherkhepshef and Mentuherkhepsef of the Twentieth Dynasty., Akhenre Setepenre Siptah or Merenptah Siptah was the penultimate ruler of the Nineteenth Dynasty of Egypt. His father's identity is currently unknown. Both Seti II and Amenmesse have been suggested although the fact that that Siptah later changed his royal name or nomen to Merneptah Siptah after his Year 2 suggests rather than his father was Merneptah. If correct, this would make Siptah and Seti II half-brothers since both of them were sons of Merneptah. , Tomb KV47, located in the Valley of the Kings in Egypt, was used for the burial of Pharaoh Siptah of the Nineteenth Dynasty, though Siptah's mummy was found in KV35. KV47 was discovered on December 18, 1905 by Edward R. Ayrton. Theodore M. Davis, Ayrton's sponsor, published an account of the site's discovery and excavation in 1908., Pharaoh is the common title of the monarchs of ancient Egypt from the First Dynasty (c. 3150) until the Macedonian conquest in 305 BC, although the actual term "Pharaoh" was not used contemporaneously for a ruler until circa 1200 BCE., Tomb KV14 is a joint tomb , used originally by Twosret and then reused and extended by Setnakhte . It has been open since antiquity , but was not properly recorded until Hartwig Altenmüller excavated it from 1983 to 1987 . Located in the main body of the Valley of the Kings , it has two burial chambers , the later extensions making the tomb one of the largest of the Royal Tombs , at over 112 metres . The original decoration showing the female Twosret was replaced with those of the male Setnakhte . Even later , the name of Setnakte was replaced by those of Seti II., Usimare Ramesses III (also written Ramses and Rameses) was the second Pharaoh of the Twentieth Dynasty and is considered to be the last New Kingdom king to wield any substantial authority over Egypt. His long reign saw the decline of Egyptian political and economic power, linked to a series of invasions and internal economic problems., The Valley of the Kings, the "Valley of the Gates of the Kings", is a valley in Egypt where, for a period of nearly 500 years from the 16th to 11th century BC, tombs were constructed for the Pharaohs and powerful nobles of the New Kingdom (the Eighteenth to the Twentieth Dynasties of Ancient Egypt)., The University of Hamburg is a comprehensive university in Hamburg, Germany. It was founded on 28 March 1919, having grown out of the previous "General lecture system (Allgemeines Vorlesungswesen)" and the "Colonial Institute of Hamburg (Hamburgisches Kolonialinstitut)" as well as the "Akademic Gymnasium". In spite of its relatively short history, six Nobel Prize Winners and serials of scholars are affiliated to the university. University of Hamburg is the biggest research and education institution in Northern Germany and one of the most extensive universities in Germany. The main campus is located in the central district of Rotherbaum, with affiliated institutes and research centres spread around the city state., Userkhaure-setepenre Setnakhte (or Setnakht, Sethnakht) was the first pharaoh (1189 BC1186 BC) of the Twentieth Dynasty of the New Kingdom of Egypt and the father of Ramesses III., Twosret ("Tawosret, Tausret", d. 1189 BC conventional chronology) was the last known ruler and the final Pharaoh of the Nineteenth Dynasty of Egypt.
She is recorded in Manetho's Epitome as a certain "Thuoris, who in Homer is called Polybus, husband of Alcandara, and in whose time Troy was taken". She was said to have ruled Egypt for seven years, but this figure included the nearly six-year reign of Siptah, her predecessor. Twosret simply assumed Siptah's regnal years as her own. While her sole independent reign would have lasted for perhaps one to one-and a half full years from 1191 to 1189 BC, this number now appears more likely to be two full years instead, possibly longer. Excavation work by the University of Arizona Egyptian Expedition on her memorial temple ("temple of millions of years") at Gournah strongly suggests that it was completed and functional during her reign and that Twosret started a regnal year 9, which means that she had two and possibly three independent years of rule, once one deducts the nearly six-year reign of Siptah. Her royal name, Sitre Meryamun, means "Daughter of Re, beloved of Amun.", Germany, officially the Federal Republic of Germany, is a federal parliamentary republic in central-western Europe. It includes 16 constituent states, covers an area of , and has a largely temperate seasonal climate. With about 82 million inhabitants, Germany is the most populous member state of the European Union. After the United States, it is the second most popular immigration destination in the world. Germany's capital and largest metropolis is Berlin. Other major cities include Hamburg, Munich, Cologne, Frankfurt, Stuttgart and Düsseldorf., Ramesses II (variously transliterated as "Rameses" or "Ramses" (or ); born ; died July or August 1213 BC; reigned 12791213 BC), also known as Ramesses the Great, was the third pharaoh of the Nineteenth Dynasty of Egypt. He is often regarded as the greatest, most celebrated, and most powerful pharaoh of the Egyptian Empire. His successors and later Egyptians called him the "Great Ancestor". Ramesses II led several military expeditions into the Levant, reasserting Egyptian control over Canaan. He also led expeditions to the south, into Nubia, commemorated in inscriptions at Beit el-Wali and Gerf Hussein., The New Kingdom of Egypt, also referred to as the Egyptian Empire, is the period in ancient Egyptian history between the 16th century BC and the 11th century BC, covering the Eighteenth, Nineteenth, and Twentieth Dynasties of Egypt. Radiocarbon dating places the exact beginning of the New Kingdom between 15701544 BC.
The New Kingdom followed the Second Intermediate Period and was succeeded by the Third Intermediate Period. It was Egypts most prosperous time and marked the peak of its power., Subject: kv14, Relation: country, Options: (A) egypt (B) germany (C) united states (D) world (E) württemberg
Solution: | egypt | 0 | NIv2 | task1296_wiki_hop_question_answering | fs_opt | [
0.40987318754196167,
0.44945019483566284,
-0.8816239833831787,
-0.34904149174690247,
0.5000466704368591,
0.32408326864242554,
0.5504505038261414,
0.7647844552993774,
-0.274270623922348,
-0.0222959965467453,
-0.21119320392608643,
0.9725620746612549,
-0.5357750654220581,
0.5240347385406494,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
[Q]: Sentence 1: A group of people stare at a building. Sentence 2: A group of people looking at a building.
[A]: A group of people are waiting for the building to open.
[Q]: Sentence 1: a swimmer doing a backstroke Sentence 2: A swimmer swims.
[A]: A swimmer swims in a lake.
[Q]: Sentence 1: Two men with briefcases standing on a street. Sentence 2: Two people with business accesories outside.
[A]: | Two coworkers are waiting for the bus home.
| 5 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
-0.2700403928756714,
0.8957237005233765,
0.3572654128074646,
-0.824695348739624,
0.3885129690170288,
-0.4779491424560547,
-0.057061463594436646,
0.4948100745677948,
0.3607746362686157,
-0.6140389442443848,
-0.8716275691986084,
-0.6361963748931885,
-0.5985655784606934,
-0.1033795028924942,
... |
Q: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Which of these was the title of a 1959 Everly Brothers song?
A: | poor jenny | 7 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
0.4500274062156677,
1.7585968971252441,
-0.40067189931869507,
-0.20408785343170166,
-0.36773407459259033,
-0.8506953716278076,
0.6530184745788574,
0.27429890632629395,
0.3210430145263672,
-1.2032955884933472,
-0.7590358257293701,
0.06470724940299988,
-0.7100712060928345,
0.0518657900393009... |
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