inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Teacher:In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you should output 0 for that list.
Teacher: Now, understand the problem? Solve this instance: [[-24, -32], [31, 5, -26], [9, 49, -47], [43, 9, 47, -45], [-9, -41, -25], [-32, -20, -38, 43, -16], [38, -42, -16], [-41, -36], [20, -41]]
Student: | [768, -26, 0, 0, 0, 389120, 25536, -36, 20] | 6 | NIv2 | task851_synthetic_multiply_evens | zs_opt | [
-0.5158658027648926,
0.32975488901138306,
-0.3322458863258362,
-0.1291705071926117,
0.008938217535614967,
-0.05611049383878708,
0.9963006973266602,
0.32158714532852173,
-0.24402543902397156,
-0.1467076539993286,
-0.7168127298355103,
0.019005563110113144,
-0.7742365002632141,
-0.68453478813... |
Detailed Instructions: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content.
Problem:@anonymized_account @anonymized_account @anonymized_account @anonymized_account Można się odczulić, recepta za darmo, ockniesz sie jak z matrixa
Solution: | 0 | 8 | NIv2 | task838_cdt_classification | zs_opt | [
-1.5316969156265259,
0.9537171721458435,
0.4758039712905884,
0.18066439032554626,
0.0037057616282254457,
-0.8264294862747192,
1.0884573459625244,
-0.1012120172381401,
0.5151417851448059,
0.23212765157222748,
-0.1490485966205597,
-0.5437583923339844,
-0.22376126050949097,
-0.716363787651062... |
Given the task definition and input, reply with output. Use a disfluent question or a proper question and find the answer to the question based on the given context or return None if an answer can't be found. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
proper question: What type of number theory utilizes and studies Noetherian arithmetic?
disfluent question: Which or no make that what type of theory utilizes and studies Noetherian arithmetic?
context: In ring theory, the notion of number is generally replaced with that of ideal. Prime ideals, which generalize prime elements in the sense that the principal ideal generated by a prime element is a prime ideal, are an important tool and object of study in commutative algebra, algebraic number theory and algebraic geometry. The prime ideals of the ring of integers are the ideals (0), (2), (3), (5), (7), (11), … The fundamental theorem of arithmetic generalizes to the Lasker–Noether theorem, which expresses every ideal in a Noetherian commutative ring as an intersection of primary ideals, which are the appropriate generalizations of prime powers.
| None | 5 | NIv2 | task1625_disfl_qa_asnwer_generation | zs_opt | [
0.09571661800146103,
0.3328736424446106,
-0.39414307475090027,
0.2610921859741211,
-0.19138847291469574,
-0.3713655471801758,
0.5377953052520752,
0.7204045057296753,
0.22883373498916626,
0.4044498801231384,
-0.8050680160522461,
-0.7156177759170532,
-0.856637716293335,
-0.10982897132635117,... |
Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
[Q]: Een verhaal vertellen vereist validatie.
[A]: Een verhaal vertellen vereist taal.
[Q]: Je kunt een feestje voor gek zetten als je iemand kust voor wederzijds plezier.
[A]: Je kunt een tapijt gebruiken om op te lopen wanneer je iemand breit voor wederzijds plezier.
[Q]: Je kunt meer slikken als je het snijdt in sample size brokken.
[A]: | U kunt meer als je snijd het in lepel maat brokken.
| 5 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.23240293562412262,
1.0744390487670898,
0.1181458979845047,
-0.2923731207847595,
-0.2738878130912781,
-0.8327161073684692,
0.27285605669021606,
0.07701417803764343,
0.056588850915431976,
-0.503379225730896,
-0.3377212584018707,
0.536711573600769,
-0.5272032618522644,
0.6608238220214844,
... |
instruction:
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.
question:
PersonX asks if PersonY could help
answer:
some assistance.
question:
PersonX not does PersonY any favors
answer:
to teach person y a lesson for their behavior.
question:
PersonX reaches PersonY's goals
answer:
| to make persony proud
| 9 | NIv2 | task1596_event2mind_text_generation_2 | fs_opt | [
-0.24427202343940735,
0.5959680676460266,
0.013254821300506592,
-0.6292035579681396,
-0.4348216652870178,
-0.9277501106262207,
0.766778290271759,
0.3148377537727356,
0.5074319839477539,
-0.43700113892555237,
-0.38615506887435913,
-0.02645065449178219,
-0.6233245134353638,
0.452365994453430... |
Definition: In this task if the pronoun is female or gender-neutral you are to replace it with a male pronoun. If there are no pronouns add a male-gendered word to the sentence.
Input: we men are always asking does she have a fairly good reputation?
Output: | Does she have a fairly good reputation? | 2 | NIv2 | task1669_md_gender_bias_text_modification | zs_opt | [
-1.6342313289642334,
0.8364535570144653,
0.24396288394927979,
-0.47563037276268005,
0.04742100462317467,
-0.34336531162261963,
0.6180078387260437,
-0.18672683835029602,
0.8290036916732788,
-0.4290204644203186,
-1.2423663139343262,
0.15115444362163544,
-0.9895150661468506,
-0.05830638110637... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-political depending on the topic.
Q: এই সব দেখানো বন্ধ করুনএতে সমাজের ক্ষতি
A: | non-political | 4 | NIv2 | task1491_bengali_political_hate_speech_binary_classification | zs_opt | [
-0.3233134150505066,
0.050897955894470215,
0.5424835681915283,
0.1477675884962082,
-0.4176332652568817,
-0.08057978004217148,
-0.24902759492397308,
0.5944294929504395,
0.14775235950946808,
0.13187819719314575,
-0.6034644246101379,
-0.39685821533203125,
-0.05488559976220131,
-0.458367437124... |
Detailed Instructions: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Problem:and even though i was married to your father .
Solution: | و هرچند اينكه با پدرتون ازدواج كرده بودم . | 8 | NIv2 | task658_tep_en_fa_translation | zs_opt | [
-0.17242467403411865,
1.5663937330245972,
-0.4676327109336853,
0.04134092852473259,
-0.6070556640625,
0.051199860870838165,
0.45242971181869507,
0.8679264187812805,
0.38925451040267944,
0.07987257838249207,
-0.635390043258667,
0.4925617575645447,
-1.4261345863342285,
-0.22200703620910645,
... |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
One example is below.
Q: English: Details were given by the UK Transport Secretary, Ruth Kelly, in the House of Commons at 1730 UTC yesterday.
Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
A: Yes
Rationale: The converted Japanese sentence is correctly translated from English because converted sentence has the same message as the original English sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
Q: English: On Thursday morning, Iran's foreign ministry official sent a letter to Iraq's foreign ministry asking Iraq to stop the Bush Administration from interfering with Iraq-Iran relations, and has protested the raid on its liaison office.
Japanese: 木曜日朝、イランの外務省高官はイラクの外務省に対し、イラクがブッシュ政権のイラン・イラク外交干渉を止めさせるよう依頼する文書を送り、そのリエゾンオフィスへの襲撃に対し抗議した。
A: | Yes | 9 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
-0.4896702766418457,
-0.16394881904125214,
0.34854432940483093,
0.22697728872299194,
0.32561516761779785,
-0.2295621931552887,
-0.11786659061908722,
0.01601862907409668,
-0.2469778209924698,
-0.44373172521591187,
0.1381826400756836,
0.7803065776824951,
-0.33901840448379517,
0.5033613443374... |
In this task, you are given a paper review. Based on the review, your job is to identify language and generate "en" if the review is in English or generate "es" if the review is in Spanish. Note that URLs in the text have been replaced with [Link].
[Q]: 1. Lo que se propone es interesante como una aplicación pero no es un trabajo científico. 2. En el resumen no se indica nada respecto a la metodología que se propone por lo cual quizás el título “Desarrollo de una Metodología”…. Debería estar orientado a “Una propuesta para la sistematización del sistema de información del propedéutico…”. 3. No se propone ninguna metodología es una aplicación “interesante” pero no una metodología. 4. En la página 3 corregir error de redacción “en la Figura 1, organziados como”. 5. Falta fundamentar mejor la idea de lo que se propone, es decir, realizar un análisis “claro” de las ventajas de por qué es interesante e importante la propuesta. Por ejemplo, se puede hacer una tabla con las ventajas sobre otros modelos. Así como esta no indica una ventaja por sobre otros métodos porque no se analizan otros métodos.
[A]: es
[Q]: Combining storage and processing capabilities is an interesting research topic because data transfer is a major issue for many machine learning tasks. The paper itself is well-written, but unfortunately addresses a lot of things only to medium depth (probably due length constraints). My opinion is that a journal with an in-depth discussion of the technical details would be a better target for this paper. Even though the researchers took an interesting approach to evaluate the performance of the system, it's difficult for me to grasp the expected practical improvements of this approach. With such a big focus on GPU (and more specialized hardware such as TPUs), the one question that comes to mind: By how much does this - or do you expect it to - beat the latest and greatest GPU on a real task? I don't consider myself an expert on this topic even though I have some experience with SystemC.
[A]: en
[Q]: This paper presents a dialogue agent where the belief tracker and the dialogue manager are jointly optimised using the reinforce algorithm. It learns from interaction with a user simulator. There are two training phases. The first is an imitation learning phase where the system is initialised using supervising learning from a rule-based model. Then there is a reinforcement learning phase where the system has jointly been optimised using the RL objective. - Strengths: This paper presents a framework where a differentiable access to the KB is integrated in the joint optimisation. This is the biggest contribution of the paper. - Weaknesses: Firstly, this is not a truly end-to-end system considering the response generation was handcrafted rather than learnt. Also, their E2E model actually overfits to the simulator and performs poorly in human evaluation. This begs the question whether the authors are actually selling the idea of E2E learning or the soft-KB access. The soft-KB access actually brings consistent improvement, however the idea of end-to-end learning not so much. The authors tried to explain the merits of E2E in Figure 5 but I also fail to see the difference. In addition, the authors didn't motivate the reason for using the reinforce algorithm which is known to suffer from high variance problem. They didn't attempt to improve it by using a baseline or perhaps considering the natural actor-critic algorithm which is known to perform better. - General Discussion: Apart from the mentioned weaknesses, I think the experiments are solid and this is generally an acceptable paper. However, if they crystallised the paper around the idea which actually improves the performance (the soft KB access) but not the idea of E2E learning the paper would be better.
[A]: | en
| 5 | NIv2 | task265_paper_reviews_language_identification | fs_opt | [
0.3867957890033722,
0.5142682194709778,
-0.09717674553394318,
-0.09580504894256592,
0.4680890440940857,
-0.6652167439460754,
1.2439141273498535,
1.120431661605835,
-0.08171308040618896,
0.39950352907180786,
-0.05902666598558426,
0.2800742983818054,
0.374355286359787,
0.6230834722518921,
... |
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 short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids will be considered as in high school. There are only two possible outputs, i.e., elementary and high. All inputs have at least one output and it cannot have both categories at a time.
he look into your eye that same look just take your breathe away you feel at that moment that he be definitely the one for you but just when you realize that just as fast a he take your breathe away he take your heart and break it into tiny little piece and watch it burn
Solution: high
Why? The poem is long and linguistically well structured, and the prediction is correct.
New input: i have become reborn again sun shine through the crack of my sheet to greet me a new day it say give me a warm feeling can not resist to get up and jump into the ocean to freshen up i 'll find adventure today for everyday bring a challenge glad to have my private friend we will sail together and meet someone new perhaps a unicorn in a bathtub
Solution: | high | 0 | NIv2 | task1712_poki_classification | fs_opt | [
0.20996180176734924,
0.9629958868026733,
0.028546344488859177,
-0.3941895663738251,
-0.284432590007782,
-0.9247077703475952,
0.4772067368030548,
0.7794045805931091,
-0.12357303500175476,
-0.487445592880249,
-0.04535489156842232,
0.27724021673202515,
-0.4941166639328003,
-0.0184282250702381... |
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 takes ___ of the children. Intent: 1) to have the first one.. XEmotion: 1) elated. | thankful | 0 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.38662952184677124,
0.35624009370803833,
-0.15809646248817444,
-0.4828304946422577,
-1.0641993284225464,
-0.2814806401729584,
1.1999969482421875,
0.734953761100769,
0.16693449020385742,
-0.5047245025634766,
0.5448424816131592,
0.004628750495612621,
-0.5696699023246765,
0.3069292902946472,... |
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.
Sentence 1: A batter prepares to swing at a ball. Sentence 2: A person is playing an important playoff game.
A player is playing a sport.
Sentence 1: man (dark blue shirt) and women (light blue dress) holding hands while conversing with older women in an urban setting. Sentence 2: A married couple hold hands.
Two people hold hands.
Sentence 1: A man dribbles a ball during a basketball game. Sentence 2: A man is part of the home team of a basketball game.
| A man is a player in a basketball game.
| 0 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
0.14099982380867004,
0.8980159759521484,
-0.6155422925949097,
-0.3262863755226135,
0.13446249067783356,
0.03202550858259201,
0.6209102272987366,
0.5224723815917969,
0.3029834032058716,
-0.7332255244255066,
-1.0800716876983643,
0.058754049241542816,
-0.6055961847305298,
0.02848559059202671,... |
In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link information to create the question. Note that the answer to the question should be exactly the given answer, and if the answer is none, the answer to the question shouldn't be obtainable from the context or linked information.
One example: Context: During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen. Link Information: Operation Market Garden was a failed World War II military operation fought in the Netherlands from 17 to 25 September 1944. Answer: from 17 to 25 September 1944
Solution is here: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin?
Explanation: The context describes the 704th's actions during Operation Market Garden, and the answer specifies when the operation happened.
Now, solve this: Context: The 1976–77 NBA season was the Braves seventh season in the NBA. The Braves were purchased by John Y. Brown, Jr. Link Information:
In 1971, Snyder purchased the Buffalo Braves, which was an expansion team in the 1970-1971 NBA season, from the original hedge fund managers who had secured the expansion franchise. He sold the team in 1977 Answer: 6
Solution: | How long did Paul Snyder own the Buffalo Braves before he sold the team to Brown Jr? | 6 | NIv2 | task235_iirc_question_from_subtext_answer_generation | fs_opt | [
-0.08525225520133972,
0.10664249956607819,
-0.26310253143310547,
0.6207491159439087,
0.07241426408290863,
-0.017780641093850136,
0.3215446174144745,
0.7828764915466309,
0.48591578006744385,
0.050325967371463776,
-0.5489461421966553,
0.42421990633010864,
-0.9921780824661255,
0.0199131760746... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Sto perdendo la concentrazione.
Output: | EG: A perder concentração. | 1 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
0.14606279134750366,
0.9020907878875732,
-0.5015754699707031,
-0.43505918979644775,
-0.3169437646865845,
-0.1772994101047516,
-0.42936182022094727,
1.1128298044204712,
0.6915631890296936,
-0.27068865299224854,
-0.8520548343658447,
-0.14618365466594696,
-0.2953382432460785,
0.44420409202575... |
Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
Input: અહીંની દરેક ચીજવસ્તુ જો તમે ઝીણવટથી જોશો તો ભારતના લોકો જે સંસ્કૃતિથી જીવે છે તેની સાથે મળતી આવે છે.
Output: | या देशाकडे जर तुम्ही बारकाईने पाहिलंत तर तुम्हाला आढळेल की भारतात जी संस्कृती आहे तशीच तिथंही आहे. | 3 | NIv2 | task983_pib_translation_gujarati_marathi | zs_opt | [
-0.06484962999820709,
0.6103085279464722,
-0.18799155950546265,
0.4216114580631256,
0.2128082811832428,
-1.3823137283325195,
0.3128267526626587,
-0.16862618923187256,
-0.7169371843338013,
-0.273331880569458,
-0.45342159271240234,
-0.677746057510376,
-0.5021995306015015,
0.35714808106422424... |
Given the task definition and input, reply with output. In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the selected choices may fit into the story at any point. Indicate your selected choices in order, i.e., as 'ab'/'bc'/'ac' and not as 'ba'/'ca'/'cb'. If options are equally plausible, pick the ones that make more sense.
Title: It was late at night and rose had not seen her husband in weeks. She was worried. Rose then called for a divorce. Choices: a. She called him numerous times but he never picked up. b. Finally he came home and admitted cheating. c. She was two hours late for school.
| ab | 5 | NIv2 | task221_rocstories_two_choice_classification | zs_opt | [
-0.43168336153030396,
0.8321127891540527,
0.1283845752477646,
0.3659679889678955,
-0.3231525421142578,
0.21025648713111877,
0.5759962201118469,
0.7690334916114807,
-0.35092175006866455,
-0.043762125074863434,
-0.7717907428741455,
0.15739113092422485,
0.009581507183611393,
-0.10329872369766... |
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Example: A lion has _ legs.
Example solution: four
Example explanation: The most logical numeric answer in words is four.
Problem: Currents are extremely variable, from nothing to a fast, steady flow of _ knots or more.
| Solution: three | 5 | NIv2 | task672_nummersense | fs_opt | [
0.04241969436407089,
0.802942156791687,
-0.4528231620788574,
-0.25589823722839355,
-0.4687223434448242,
-0.3692874610424042,
0.24562036991119385,
0.4929417371749878,
-0.30183839797973633,
-0.5090208649635315,
-0.011480221524834633,
0.24103371798992157,
-0.9841631650924683,
0.16983610391616... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
خیلی خوب ، بدون حرف اضافه ای ، دوست دارید صداش را بشنوید ؟
Output: | لذلك ، ومن دون أن نكثر من الكلام ، هل تودّون سماعه ؟ | 1 | NIv2 | task1268_ted_translation_fa_ar | zs_opt | [
-0.328049898147583,
0.47264671325683594,
-0.17228573560714722,
-0.05023442208766937,
-0.41684117913246155,
0.6246209144592285,
1.0244693756103516,
0.06010473892092705,
0.6503254175186157,
0.43423545360565186,
-0.8715038895606995,
-0.49374622106552124,
-0.4229417145252228,
0.034011110663414... |
Detailed Instructions: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Problem:Who played gaston in the movie beauty and the beast?
Solution: | Who played gaston in the 2017 movie beauty and the beast? | 8 | NIv2 | task670_ambigqa_question_generation | zs_opt | [
0.8065093755722046,
0.6486773490905762,
-0.6472175121307373,
-0.9713222980499268,
0.4079347252845764,
-0.31224673986434937,
0.42654234170913696,
0.03983007371425629,
0.5817105770111084,
-0.20682930946350098,
-0.20607084035873413,
0.263364315032959,
-1.2518086433410645,
-0.3531518578529358,... |
Detailed Instructions: 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".
See one example below:
Problem: Tweet: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it Question: is it a positive tweet?
Solution: yes
Explanation: There is an expression of happiness in this tweet text, hence, we can say it's positive. So answer is 'yes'.
Problem: Tweet: My poor baby got a chick pox Question: is it a positive tweet?
Solution: | no | 4 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-1.019042730331421,
-0.42073917388916016,
0.321530282497406,
0.5488996505737305,
0.19115929305553436,
-0.8201808929443359,
-0.08156285434961319,
0.30371809005737305,
0.31128472089767456,
0.18393155932426453,
-0.46151867508888245,
-0.43709275126457214,
-0.33138924837112427,
-0.2826735675334... |
Q: 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 computer information for an unspecified purpose. Collection happens in an unspecified way.
A: | Computer information | 7 | NIv2 | task684_online_privacy_policy_text_information_type_generation | zs_opt | [
-0.6443250179290771,
-0.1439891755580902,
-0.746816873550415,
0.2460547685623169,
-0.7722618579864502,
-1.1532604694366455,
0.3130466341972351,
0.3572843074798584,
0.37872689962387085,
0.6671773195266724,
0.8000355958938599,
0.11525020748376846,
-0.2834698557853699,
-0.4678627550601959,
... |
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.
Let me give you an example: Fact: pesticides can harm animals.
Question: What can harm animals?
The answer to this example can be: pesticides.
Here is why: The answer is present in the span of the fact.
OK. solve this:
Fact: otters need their coats to keep warm.
Question: otters need their what to keep warm?
Answer: | coats. | 8 | NIv2 | task041_qasc_answer_generation | fs_opt | [
0.3339269161224365,
0.8678523302078247,
-0.6120189428329468,
0.5155243277549744,
-0.4361298084259033,
-1.701458215713501,
0.058247387409210205,
0.3657078146934509,
-0.49187836050987244,
-0.3407192826271057,
-1.2135322093963623,
0.46029800176620483,
-0.5071356296539307,
-0.2273433357477188,... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Example: Relationship: 'knock', Argument/Subject 1: 'someone', Argument/Subject 2: 'it'
Example solution: The mailbox was bent and broken and looked like someone had knocked it over on purpose.
Example explanation: The generated sentence contains the two given subjects - someone and it, and they are related to each other on the basis of the given relationship - knocked
Problem: Relationship: 'knock out', Argument/Subject 1: 'alus', Argument/Subject 2: 'foreman'
| Solution: 1974 : " The Rumble in The Jungle " : Muhammad Ali knocks out George Foreman in Kinshasa , Zaire to regain the World Heavyweight Boxing championship . | 5 | NIv2 | task677_ollie_sentence_answer_generation | fs_opt | [
0.07415267080068588,
0.9268448352813721,
0.08809587359428406,
0.12366421520709991,
0.3324270248413086,
-0.6349986791610718,
0.2759805917739868,
0.8556072115898132,
-0.03031941130757332,
-0.34378930926322937,
-0.3151032626628876,
0.15507209300994873,
-1.052202820777893,
-0.12507376074790955... |
Definition: In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
Input: ¿Cuál de las siguientes intervenciones NO forma parte del entrenamiento en hábitos defecatorios para el tratamiento de la encorpresis?
Output: | Which of the following interventions is NOT part of the training in defecatory habits for the treatment of corporpresis? | 2 | NIv2 | task1433_head_qa_language_translation_es_to_en | zs_opt | [
-0.3499900996685028,
0.4845895767211914,
-0.07976259291172028,
-0.5725019574165344,
-0.1726149022579193,
-0.28476661443710327,
-0.09890541434288025,
1.408236026763916,
0.2365499883890152,
-0.3470095992088318,
-0.10442914068698883,
-0.42911913990974426,
-0.24025548994541168,
-0.092979751527... |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that makes less sense.
One example: Title: Marcus Buys Khakis. Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: All of his clothes were either too formal or too casual. Sentence 3: He decided to buy a pair of khakis. Sentence 4: The pair he bought fit him perfectly. Choices: a. Marcus was happy to have the right clothes for the event. b. He left in a huff for having his ideas mocked.
Solution is here: b
Explanation: Marcus is buying clothes for a business event and not presenting an idea.
Now, solve this: Title: Basketball. Sentence 1: I got injured during basketball practice. Sentence 2: I was running down the court with the ball. Sentence 3: Another player ran into me at top speed. Sentence 4: She had a dent in her forehead from the impact. Choices: a. I ended up winning the round by two strokes. b. My jaw was pushed into my ear canal.
Solution: | a | 6 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt | [
0.4786137342453003,
0.10770198702812195,
-0.135244682431221,
0.26734599471092224,
0.712155818939209,
-0.10744509100914001,
0.5960545539855957,
0.9996840357780457,
0.07571516185998917,
0.09953475743532181,
-0.7164630889892578,
-0.11158108711242676,
-0.12348280102014542,
-0.20608952641487122... |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
English sentence: 17:12 And the ten horns that you saw are ten kings; these have not yet received a kingdom, but they shall receive authority, as if they were kings, for one hour, after the beast . | 17:12 Oo tobankii gees oo aad aragtay waa toban boqor,; kuwaas oo aan weli helin boqortooyo, laakiin waxay heli doonaan awood, sida haddii ay ahaayeen boqorradii, hal saac, bahalkii;. | 0 | NIv2 | task446_opus_paracrawl_en_so_translation | zs_opt | [
0.27523502707481384,
0.967124342918396,
-0.7715723514556885,
-0.19076833128929138,
-0.9511023163795471,
-0.7076531648635864,
0.9124715328216553,
0.5385169982910156,
-0.4827948212623596,
-0.5249150395393372,
0.05423082411289215,
0.529541015625,
-1.0103850364685059,
-0.13687697052955627,
-... |
Teacher:Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Teacher: Now, understand the problem? Solve this instance: Japanese: 病気によりユシチェンコは体と顔の外観を損なったが、医者は回復するのに最長2年はかかると言う。
Bahasa Indonesia: Penyakit ini telah rusak tubuh dan wajah Yushchenko dokter mengatakan bisa memakan waktu hingga 2 tahun untuk menyembuhkannya.
Student: | Yes | 6 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.3234027028083801,
0.6351381540298462,
0.38439106941223145,
-0.24189917743206024,
0.2609318494796753,
-0.6273713111877441,
0.3596208989620209,
-0.15308161079883575,
0.08317697793245316,
-0.8362990617752075,
-0.2522701621055603,
0.9493604898452759,
-0.9366562366485596,
0.343646377325058,
... |
Detailed Instructions: You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that requires an understanding of the relationship described in the background paragraph and the story. You need to come up with an answer to the given question; the answer will be a span from either the question or the story. In order to correctly answer the given question, you need to understand the relationship mentioned in the background paragraph and should be able to use it to understand that in the story. Your answer can not consist of any word that is not mentioned in any of these: the background paragraph, the story, or the question. You can directly copy and paste a span from the story or the question while answering the given question.
See one example below:
Problem: Background Paragraph: A rise in price of a good or service almost always decreases the quantity demanded of that good or service. Conversely, a fall in price will increase the quantity demanded. When the price of a gallon of gasoline increases, for example, people look for ways to reduce their consumption by combining several errands, commuting by carpool or mass transit, or taking weekend or vacation trips closer to home. Economists call this inverse relationship between price and quantity demanded the law of demand. The law of demand assumes that all other variables that affect demand (which we explain in the next module) are held constant.
Story: The AAA auto club does a weekly report on the prices of gas and diesel in various cities. Historically, the prices have be fairly stagnant, but this week their report garnered widespread attention as the prices of gas and diesel plunged from last week in Seattle by $0.40 each. However, just across the border in Vancouver, the cost of gas went up dramatically by $0.50.
Question: Which city will have an increase in demand for gas?
Solution: Seattle.
Explanation: The first sentence in the background paragraph (A rise in price of a good or service almost always decreases the quantity demanded of that good or service) and the sentence in the story (as the prices of gas and diesel plunged from last week in Seattle by $0.40 each) answer this question.
Problem: Background Paragraph: Genetically modified organisms (GMO) are organisms whose genetic material has been altered by genetic engineering techniques generally known as recombinant DNA technology. Genetic engineering has expanded the genes available to breeders to utilize in creating desired germlines for new crops. Increased durability, nutritional content, insect and virus resistance and herbicide tolerance are a few of the attributes bred into crops through genetic engineering. For some, GMO crops cause food safety and food labeling concerns. Numerous countries have placed restrictions on the production, import or use of GMO foods and crops. Currently a global treaty, the Biosafety Protocol, regulates the trade of GMOs. There is ongoing discussion regarding the labeling of foods made from GMOs, and while the EU currently requires all GMO foods to be labeled, the US does not.Herbicide-resistant seed has a gene implanted into its genome that allows the plants to tolerate exposure to herbicides, including glyphosate. These seeds allow the farmer to grow a crop that can be sprayed with herbicides to control weeds without harming the resistant crop. Herbicide-tolerant crops are used by farmers worldwide. With the increasing use of herbicide-tolerant crops, comes an increase in the use of glyphosate-based herbicide sprays. In some areas glyphosate resistant weeds have developed, causing farmers to switch to other herbicides. Some studies also link widespread glyphosate usage to iron deficiencies in some crops, which is both a crop production and a nutritional quality concern, with potential economic and health implications.Other GMO crops used by growers include insect-resistant crops, which have a gene from the soil bacterium Bacillus thuringiensis (Bt), which produces a toxin specific to insects. These crops resist damage by insects. Some believe that similar or better pest-resistance traits can be acquired through traditional breeding practices, and resistance to various pests can be gained through hybridization or cross-pollination with wild species. In some cases, wild species are the primary source of resistance traits; some tomato cultivars that have gained resistance to at least 19 diseases did so through crossing with wild populations of tomatoes.
Story: PepsiCo has been supplying GMO potato seeds to farmers. Eventually, they buy the potatoes for their chips. On the other hand, Kettle Foods supplied non-GMO potato seeds to their farmers. They wanted to see how customers react to their non-GMO products, mostly chips.
Question: Would PepsiCo potatoes be less or more iron deficient than Kettle Foods'?
Solution: | more. | 4 | NIv2 | task061_ropes_answer_generation | fs_opt | [
-0.18923984467983246,
0.10533912479877472,
0.17306163907051086,
-0.31094425916671753,
0.3120034337043762,
-1.266481876373291,
0.06588130444288254,
1.529736042022705,
-0.908793568611145,
0.6173579692840576,
-1.1422683000564575,
0.006769336760044098,
-0.566677451133728,
0.529920220375061,
... |
You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypothesis. Your task is to return 'entails' if the premise supports hypothesis else return 'neutral'.
Q: Premise: Conventional thermometers are filled with a liquid (alcohol, mercury, or water) that expands or contracts with a change in the temperature.
Hypothesis: The liquid in a thermometer expands or contracts to respond to heat or cold.
A: | entails | 4 | NIv2 | task1529_scitail1.1_classification | zs_opt | [
-0.22414854168891907,
0.5797334909439087,
-0.3463197350502014,
0.05304912477731705,
-0.23829513788223267,
-1.0255661010742188,
0.1480771005153656,
0.4624232053756714,
0.5170140266418457,
-0.6594390869140625,
-0.4157429337501526,
0.12389864027500153,
-0.8240606188774109,
-0.0537181049585342... |
In this task, you have to generate the title of the recipe given its required ingredients and directions.
Q: ingredients: '2 c. flour', '1 1/2 c. sugar', '2 eggs', '1/2 tsp. salt', '2 tsp. baking soda', '1 can (16 oz.) crushed pineapple', '1/2 c. chopped pecans',<sep> directions: 'Mix all ingredients together and pour into an UNGREASED 9x13-inch pan.', 'Bake at 350° for 30 minutes. Allow to cool before frosting.'
A: Mexican Wedding Cake(And Frosting)
****
Q: ingredients: '1 cup Bulgar wheat', '1 cup water', '13 cup olive oil', '14 cup fresh lemon juice', '1 teaspoon salt', '1 teaspoon ground allspice (optional)', '1 cup chopped green onion (white and green parts)', '14 cup chopped mint leaf (optional)', '1 cup chopped parsley', '12 cup garbanzo beans', '2 tomatoes, finely diced (roma tomatoes are best)', '1 head romaine lettuce (optional)',<sep> directions: 'Bring one cup of water to a boil.', 'Add one cup of bulgar wheat.', 'Reduce heat, and simmer 10 to 15 minutes.', 'Remove from heat and let stand covered, 5 to 10 minutes, or until slightly tender.', 'Bulgar wheat should have some texture to it -- it's not supposed to be mushy.', 'In a big bowl, mix wheat, lemon juice, olive oil, salt and allspice, and let cool.', 'Meanwhile, chop your onions, tomatoes, parsley and mint.', 'Add these plus the garbanzo beans to the wheat mixture and mix well.', 'Cover and chill for 1 hour or over night.'
A: Tabouli
****
Q: ingredients: '2 tablespoons olive oil', '2 1/2 pounds boneless veal, cut in 1/4-inch cubes', '1 1/2 cups onions, diced small', '2 cups peeled, seeded tomatoes, diced small', '1 cup carrots, diced small', '2 tablespoons chopped dill', '1 tablespoon chopped cilantro', '1/2 cup chopped scallions', 'Salt and freshly ground pepper',<sep> directions: 'Heat oil in large skillet over moderate heat.', 'Add veal and cover.', 'Cook slowly, stirring occasionally, until veal browns lightly and becomes almost tender.', 'Add onions, tomatoes, carrots and 1 tablespoon dill.', 'Cook uncovered over low heat, stirring occasionally, until vegetables are tender.', 'Add remaining 1 tablespoon dill, cilantro, scallions, salt and pepper.', 'Cook 5 to 7 minutes longer, or until well blended.'
A: | Veal Stew
****
| 4 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
0.8757925033569336,
0.36953216791152954,
-0.8883497714996338,
0.7295388579368591,
0.6662827730178833,
-0.15203818678855896,
1.0014138221740723,
1.1825271844863892,
-0.5558555722236633,
-0.2171308398246765,
-0.3456762731075287,
0.4961260259151459,
-0.08047925680875778,
0.48295408487319946,
... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY or others will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. For example, X may get hugged, and Y may blush in response. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
One example is below.
Q: Head: PersonX goes the way of the dodo<sep>Tail: none
A: Yes
Rationale: This is a good example. As a result of the Head, others won't be affected.
Q: Head: PersonX attends PersonY school<sep>Tail: Person x sees person y in passing
A: | No | 9 | NIv2 | task1196_atomic_classification_oeffect | fs_opt | [
1.012594223022461,
-0.22694118320941925,
0.18325665593147278,
-0.4393816590309143,
0.1622043401002884,
-0.9147924780845642,
1.1659629344940186,
0.8714845180511475,
-0.7926192283630371,
-0.2821691036224365,
-0.5093303918838501,
-0.15834076702594757,
-0.4699198603630066,
-0.05282015725970268... |
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.
Example input: Paragraph- Sent 1: Obama was born on August 4, 1961, at Kapiʻolani Maternity & Gynecological Hospital in Honolulu, Hawaii.
Sent 2: He is the only President to have been born in Hawaii.
Sent 3: He was born to a white mother and a black father.
Sent 4: His mother, Ann Dunham (1942-1995), was born in Wichita, Kansas, of mostly English descent, with some German, Irish, Scottish, Swiss, and Welsh ancestry. Question: How old was Obama's mother when he was born?
Example output: 19.
Example explanation: Obama was born in 1961. His mother was born in 1942 and 1961-1942=19. Therefore, any of the following responses are considred correct: '19' and 'almost twenty'.
Q: Paragraph- Sent 1: How can you describe your location?
Sent 2: You might use a familiar system.
Sent 3: You might say, 'I live at 1234 Main Street, Springfield, Ohio.' You could also say, 'I live right behind the Elementary School.' This method uses the school as a point of reference.
Sent 4: Another example is, I am at the corner of Maple Street and Main Street. Both streets may be a good reference for anyone living in your town.
Sent 5: Scientists must be able to pinpoint a feature they are studying.
Sent 6: Scientists use a special system to describe locations.
Sent 7: They use latitude and longitude as a reference.
Sent 8: Lines of latitude and longitude form a grid.
Sent 9: You may have used a grid system while doing graphing.
Sent 10: This grid is centered on a reference point.
Sent 11: Zero latitude is the equator.
Sent 12: Lines of latitude run east to west.
Sent 13: They divide the Earth from North to South.
Sent 14: Lines of longitude run from north to south.
Sent 15: They divide the Earth from East to West.
Sent 16: Zero longitude runs through Greenwich, England.
Sent 17: You may have heard the term, Greenwich Mean Time, or GMT.
Sent 18: The system of latitude and longitude works well for objects that do not move.
Question: Does the equator divide the Earth from east to west or from north to south?.
A: | North to South. | 3 | NIv2 | task054_multirc_write_correct_answer | fs_opt | [
0.29610776901245117,
0.04647163301706314,
-0.4637979567050934,
-0.06898139417171478,
-0.23287780582904816,
-0.7670407295227051,
0.004565345123410225,
0.5628008246421814,
0.8759892582893372,
0.21023871004581451,
-0.8684524893760681,
0.6324882507324219,
-0.6315016746520996,
-0.65202409029006... |
Part 1. Definition
Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Part 2. Example
Stimulating the mind helps the brain to grow essential neural cells .
Answer: Stimulating the learning helps the brain to grow new neural cells .
Explanation: This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about growing essential neural cells and the changes in the sentence follows the commonsense knowledge.
Part 3. Exercise
You are likely to find a bridge in over water.
Answer: | You are likely to rate a watch in over water . | 7 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
0.06889192759990692,
0.4146525263786316,
-0.019621070474386215,
-0.3584539294242859,
0.1989908516407013,
-0.7588960528373718,
0.4353005290031433,
0.5727654695510864,
0.40675169229507446,
-0.9103687405586243,
-0.7581809163093567,
-0.6011137962341309,
-1.1379860639572144,
0.1615470051765442,... |
Given the task definition and input, reply with output. In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix' instead of 'one thousand seven hundred six'.
zerofivefouronezerosixeightnine
| 05410689 | 5 | NIv2 | task1443_string_to_number | zs_opt | [
-0.8883948922157288,
1.2586841583251953,
-0.18191277980804443,
-0.7523940205574036,
-0.35199639201164246,
-0.08941639959812164,
0.5555978417396545,
-0.016984954476356506,
0.11086858808994293,
-0.5329059958457947,
-0.670678436756134,
0.3673686981201172,
-0.7643605470657349,
0.00508116418495... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
One example: وقد كتبن اللغة وغالبا ما كانت لغة آلة وأحيانا شفرة ثنائية ترسل بعدها بالبريد لمركز البيانات لتنقل على شريط أو بطاقة ورقية مثقبة ثم تعاد الكرة مرة أخرى للتأكد.
Solution is here: و آنگاه آنها کُد می نوشتند ، معمولا کُد های ماشینی ، و گاهی کُد های صفر و یکی ، که سپس با پست به مرکز داده ها فرستاده می شد که روی چسب کاغذی یا کارتی منگنه شود و بعد دوباره حک شود تا مورد بازبینی قرار گیرد.
Explanation: The Arabic sentence is correctly translated into Farsi, because the meaning is preserved.
Now, solve this: ويبدو انه يتم قطع قناته الدافقة لان النقانق التي بيده قد أُكل منها.. وهو يبدو سعيدٌ جداً
Solution: | هنگامی که هات داگش را تا نصفه خورده بود ، وازکتومی اش تمام شده بود ، و او بسیار خوشحال بود. هنگامی که هات داگش را تا نصفه خورده بود ، وازکتومی اش تمام شده بود ، و او بسیار خوشحال بود. | 6 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.7241697311401367,
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-0.2663627862930298,
-0.7803834676742554,
0.08180304616689682,
-0.008926172740757465,
1.3183059692382812,
-0.06066492944955826,
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-0.19229468703269958,
-0.5934909582138062,
-0.18734128773212433,
-0.6517036557197571,
0.282154709100... |
In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
Q: SECTION 1. SHORT TITLE.
This Act may be cited as the ``Child Custody Protection Act''.
SEC. 2. TRANSPORTATION OF MINORS IN CIRCUMVENTION OF CERTAIN LAWS
RELATING TO ABORTION.
Title 18, United States Code, is amended by inserting after chapter
117 the following:
``CHAPTER 117A--TRANSPORTATION OF MINORS IN CIRCUMVENTION OF CERTAIN
LAWS RELATING TO ABORTION
``Sec.
``2431. Transportation of minors in circumvention of certain laws
relating to abortion.
``2432. Transportation of minors in circumvention of certain laws
relating to abortion.
``Sec. 2431. Transportation of minors in circumvention of certain laws
relating to abortion
``(a) Offense.--
``(1) Generally.--Except as provided in subsection (b),
whoever knowingly transports a minor across a State line, with
the intent that such minor obtain an abortion, and thereby in
fact abridges the right of a parent under a law requiring
parental involvement in a minor's abortion decision, in force
in the State where the minor resides, shall be fined under this
title or imprisoned not more than one year, or both.
``(2) Definition.--For the purposes of this subsection, an
abridgement of the right of a parent occurs if an abortion is
performed or induced on the minor, in a State or a foreign
nation other than the State where the minor resides, without
the parental consent or notification, or the judicial
authorization, that would have been required by that law had
the abortion been performed in the State where the minor
resides.
``(b) Exceptions.--
``(1) The prohibition of subsection (a) does not apply if
the abortion was necessary to save the life of the minor
because her life was endangered by a physical disorder,
physical injury, or physical illness, including a life
endangering physical condition caused by or arising from the
pregnancy itself.
``(2) A minor transported in violation of this section, and
any parent of that minor, may not be prosecuted or sued for a
violation of this section, a conspiracy to violate this
section, or an offense under section 2 or 3 based on a
violation of this section.
``(c) Affirmative Defense.--It is an affirmative defense to a
prosecution for an offense, or to a civil action, based on a violation
of this section that the defendant--
``(1) reasonably believed, based on information the
defendant obtained directly from a parent of the minor, that
before the minor obtained the abortion, the parental consent or
notification took place that would have been required by the
law requiring parental involvement in a minor's abortion
decision, had the abortion been performed in the State where
the minor resides; or
``(2) was presented with documentation showing with a
reasonable degree of certainty that a court in the minor's
State of residence waived any parental notification required by
the laws of that State, or otherwise authorized that the minor
be allowed to procure an abortion.
``(d) Civil Action.--Any parent who suffers harm from a violation
of subsection (a) may obtain appropriate relief in a civil action
unless the parent has committed an act of incest with the minor subject
to subsection (a).
``(e) Definitions.--For the purposes of this section--
``(1) the term `abortion' means the use or prescription of
any instrument, medicine, drug, or any other substance or
device intentionally to terminate the pregnancy of a female
known to be pregnant, with an intention other than to increase
the probability of a live birth, to preserve the life or health
of the child after live birth, to terminate an ectopic
pregnancy, or to remove a dead unborn child who died as the
result of a spontaneous abortion, accidental trauma or a
criminal assault on the pregnant female or her unborn child;
``(2) the term a `law requiring parental involvement in a
minor's abortion decision' means a law--
``(A) requiring, before an abortion is performed on
a minor, either--
``(i) the notification to, or consent of, a
parent of that minor; or
``(ii) proceedings in a State court; and
``(B) that does not provide as an alternative to
the requirements described in subparagraph (A)
notification to or consent of any person or entity who
is not described in that subparagraph;
``(3) the term `minor' means an individual who is not older
than the maximum age requiring parental notification or
consent, or proceedings in a State court, under the law
requiring parental involvement in a minor's abortion decision;
``(4) the term `parent' means--
``(A) a parent or guardian;
``(B) a legal custodian; or
``(C) a person standing in loco parentis who has
care and control of the minor, and with whom the minor
regularly resides, who is designated by the law
requiring parental involvement in the minor's abortion
decision as a person to whom notification, or from whom
consent, is required; and
``(5) the term `State' includes the District of Columbia
and any commonwealth, possession, or other territory of the
United States, and any Indian tribe or reservation.
``Sec. 2432. Transportation of minors in circumvention of certain laws
relating to abortion
``Notwithstanding section 2431(b)(2), whoever has committed an act
of incest with a minor and knowingly transports the minor across a
State line with the intent that such minor obtain an abortion, shall be
fined under this title or imprisoned not more than one year, or both.
For the purposes of this section, the terms `State', `minor', and
`abortion' have, respectively, the definitions given those terms in
section 2435.''.
SEC. 3. CLERICAL AMENDMENT.
The table of chapters at the beginning of part I of title 18,
United States Code, is amended by inserting after the item relating to
chapter 117 the following new items:
``117A. Transportation of minors in circumvention of certain 2431''.
laws relating to abortion.
A: Child Custody Protection Act - Amends the federal criminal code to prohibit transporting a minor child across a state line to obtain an abortion (deems such transporting to be a de facto abridgment of the right of a parent under any law in the minors state of residence that requires parental involvement in the minors abortion decision). Makes an exception for an abortion necessary to safe the life of the minor.
Makes it an affirmative defense to a prosecution or civil action under this Act that a defendant: (1) reasonably believed that before the minor obtained the abortion, the required parental consent or notification or judicial authorization took place; or (2) was presented with documentation showing that a court waived parental notification requirements or authorized the minor's abortion.
Defines "abortion" as the termination of a pregnancy with an intention other than to increase the probability of a live birth, preserve the life or health of the child after live birth, terminate an ectopic pregnancy, or remove a dead unborn child who died as the result of a spontaneous abortion, accidental trauma, or a criminal assault on the pregnant female or her unborn child.
Imposes a fine and/or prison term of up to one year on anyone who has committed an act of incest with a minor and knowingly transports such minor across a state line to obtain an abortion.
****
Q: SECTION 1. SHORT TITLE.
This Act may be cited as the ``James Guelff Body Armor Act of
1999''.
SEC. 2. FINDINGS.
Congress finds that--
(1) nationally, police officers and ordinary citizens are
facing increased danger as criminals use more deadly weaponry,
body armor, and other sophisticated assault gear;
(2) crime at the local level is exacerbated by the
interstate movement of body armor and other assault gear;
(3) there is a traffic in body armor moving in or otherwise
affecting interstate commerce, and existing Federal controls
over such traffic do not adequately enable the States to
control this traffic within their own borders through the
exercise of their police power;
(4) recent incidents, such as the murder of San Francisco
Police Officer James Guelff by an assailant wearing 2 layers of
body armor and a 1997 bank shoot out in north Hollywood,
California, between police and 2 heavily armed suspects
outfitted in body armor, demonstrate the serious threat to
community safety posed by criminals who wear body armor during
the commission of a violent crime;
(5) of the approximately 1,200 officers killed in the line
of duty since 1980, more than 30 percent could have been saved
by body armor, and the risk of dying from gunfire is 14 times
higher for an officer without a bulletproof vest;
(6) the Department of Justice has estimated that 25 percent
of State and local police are not issued body armor;
(7) the Federal Government is well-equipped to grant local
police departments access to body armor that is no longer
needed by Federal agencies; and
(8) Congress has the power, under the interstate commerce
clause and other provisions of the Constitution of the United
States, to enact legislation to regulate interstate commerce
that affects the integrity and safety of our communities.
SEC. 3. DEFINITIONS.
In this Act:
(1) Body armor.--The term ``body armor'' means any product
sold or offered for sale, in interstate or foreign commerce, as
personal protective body covering intended to protect against
gunfire, regardless of whether the product is to be worn alone
or is sold as a complement to another product or garment.
(2) Law enforcement agency.--The term ``law enforcement
agency'' means an agency of the United States, a State, or a
political subdivision of a State, authorized by law or by a
Government agency to engage in or supervise the prevention,
detection, investigation, or prosecution of any violation of
criminal law.
(3) Law enforcement officer.--The term ``law enforcement
officer'' means any officer, agent, or employee of the United
States, a State, or a political subdivision of a State,
authorized by law or by a Government agency to engage in or
supervise the prevention, detection, investigation, or
prosecution of any violation of criminal law.
SEC. 4. AMENDMENT OF SENTENCING GUIDELINES WITH RESPECT TO BODY ARMOR.
(a) Sentencing Enhancement.--The United States Sentencing
Commission shall amend the Federal sentencing guidelines to provide an
appropriate sentencing enhancement, increasing the offense level not
less than 2 levels, for any offense in which the defendant used body
armor.
(b) Applicability.--No amendment made to the Federal Sentencing
Guidelines pursuant to this section shall apply if the Federal offense
in which the body armor is used constitutes a violation of, attempted
violation of, or conspiracy to violate the civil rights of any person
by a law enforcement officer acting under color of the authority of
such law enforcement officer.
SEC. 5. PROHIBITION OF PURCHASE, USE, OR POSSESSION OF BODY ARMOR BY
VIOLENT FELONS.
(a) Definition of Body Armor.--Section 921 of title 18, United
States Code, is amended by adding at the end the following:
``(35) The term `body armor' means any product sold or
offered for sale, in interstate or foreign commerce, as
personal protective body covering intended to protect against
gunfire, regardless of whether the product is to be worn alone
or is sold as a complement to another product or garment.''.
(b) Prohibition.--
(1) In general.--Chapter 44 of title 18, United States
Code, is amended by adding at the end the following:
``Sec. 931. Prohibition on purchase, ownership, or possession of body
armor by violent felons
``(a) In General.--Except as provided in subsection (b), it shall
be unlawful for a person to purchase, own, or possess body armor, if
that person has been convicted of a felony that is--
``(1) a crime of violence (as defined in section 16); or
``(2) an offense under State law that would constitute a
crime of violence if it occurred within the special maritime
and territorial jurisdiction of the United States.
``(b) Exception.--
``(1) Application.--A person who is subject to the
prohibition of subsection (a) whose employment, livelihood, or
safety is dependent on the ability to possess and use body
armor, may file a petition with the Secretary for an exception
to the prohibition of subsection (a).
``(2) Action by secretary.--Upon receipt of a petition
under paragraph (1), the Secretary may reduce or eliminate the
prohibition of subsection (a), impose conditions on reduction
or elimination of the prohibition, or otherwise grant relief
from the prohibition, as the Secretary determines to be
appropriate, based on a determination that the petitioner--
``(A) is likely to use body armor in a safe and
lawful manner; and
``(B) has a reasonable need for such protection
under the circumstances.
``(3) Factors for consideration.--In making a determination
under paragraph (2) with respect to a petitioner, the Secretary
shall consider--
``(A) any continued employment of the petitioner;
``(B) the interests of justice;
``(C) any relevant evidence; and
``(D) the totality of the circumstances.
``(4) Certified copy of permission.--The Secretary shall
require, as a condition of granting any exception to a
petitioner under this subsection, that the petitioner agree to
maintain on his or her person a certified copy of the
Secretary's permission to possess and use body armor, including
any conditions or limitations.
``(5) Rule of construction.--Nothing in this subsection may
be construed to--
``(A) require the Secretary to grant relief to any
particular petitioner; or
``(B) imply that any relief granted by the
Secretary under this subsection relieves any other
person from any liability that may otherwise be
imposed.
``(c) Immunity From Liability.--
``(1) In general.--An officer or employee of a law
enforcement agency who enforces the prohibition specified in
subsection (a) against a person who has been granted relief
pursuant to subsection (b), shall be immune from any liability
for false arrest arising from the enforcement of this section
unless the person has in his or her possession a certified copy
of the permission granting the person relief from the
prohibition, as required by subsection (b)(4).
``(2) Rule of construction.--The immunity from liability
described in paragraph (1) shall not relieve any person or
entity from any other liability that may otherwise be
imposed.''.
(2) Clerical amendment.--The analysis for chapter 44 of
title 18, United States Code, is amended by adding at the end
the following:
``931. Prohibition on purchase, ownership, or possession of body armor
by violent felons.''.
(c) Penalties.--Section 924(a) of title 18, United States Code, is
amended by adding at the end the following:
``(7) Whoever knowingly violates section 931 shall be fined under
this title, imprisoned not more than 3 years, or both.''.
SEC. 6. DONATION OF FEDERAL SURPLUS BODY ARMOR TO STATE AND LOCAL LAW
ENFORCEMENT AGENCIES.
(a) Definitions.--In this section, the terms ``Federal agency'' and
``surplus property'' have the meanings given such terms under section 3
of the Federal Property and Administrative Services Act of 1949 (40
U.S.C. 472).
(b) Donation of Body Armor.--Notwithstanding section 203 of the
Federal Property and Administrative Services Act of 1949 (40 U.S.C.
484), the head of a Federal agency may donate body armor directly to
any State or local law enforcement agency, if such body armor is--
(1) in serviceable condition; and
(2) surplus property.
(c) Notice to Administrator.--The head of a Federal agency who
donates body armor under this section shall submit to the Administrator
of General Services a written notice identifying the amount of body
armor donated and each State or local law enforcement agency that
received the body armor.
(d) Donation by Certain Officers.--
(1) Department of justice.--In the administration of this
section with respect to the Department of Justice, in addition
to any other officer of the Department of Justice designated by
the Attorney General, the following officers may act as the
head of a Federal agency:
(A) The Administrator of the Drug Enforcement
Administration.
(B) The Director of the Federal Bureau of
Investigation.
(C) The Commissioner of the Immigration and
Naturalization Service.
(D) The Director of the United States Marshals
Service.
(2) Department of the treasury.--In the administration of
this section with respect to the Department of the Treasury, in
addition to any other officer of the Department of the Treasury
designated by the Secretary of the Treasury, the following
officers may act as the head of a Federal agency:
(A) The Director of the Bureau of Alcohol, Tobacco,
and Firearms.
(B) The Commissioner of Customs.
(C) The Director of the United States Secret
Service.
A: James Guelff Body Armor Act of 1999 - Directs the U.S. Sentencing Commission to amend the Federal sentencing guidelines to provide an appropriate enhancement, increasing the level not less than two levels, for any offense in which the defendant used body armor, with an exception involving a civil rights violation by a law enforcement officer acting under color of authority.
(Sec. 5) Amends the Brady Handgun Violence Prevention Act to prohibit the purchase, ownership, or possession of body armor by violent felons, with a procedure for the Secretary of the Treasury to grant an exception where a person's employment, livelihood, or safety is dependent on the ability to possess and use body armor. Grants a law enforcement officer immunity from liability for false arrest arising from the enforcement of this section unless the person has in his or her possession a certified copy of the permission granting the person relief from the prohibition. Sets penalties for violations of this prohibition.
(Sec. 6) Authorizes the head of a Federal agency to donate body armor that is surplus property and in serviceable condition directly to any State or local law enforcement agency. Allows specified officials in the Treasury and Justice Departments to act as the head of a Federal agency.
****
Q: SECTION 1. SHORT TITLE.
This Act may be cited as the ``Possessions Wage Credit Act of
1993''.
SEC. 2. REPLACEMENT OF POSSESSION TAX CREDIT WITH WAGE-BASED EMPLOYMENT
CREDIT.
(a) In General.--Subpart D of part IV of subchapter A of chapter 1
of the Internal Revenue Code of 1986 (relating to business related
credits) is amended by adding at the end the following new section:
``SEC. 45A. POSSESSIONS EMPLOYMENT CREDIT.
``(a) Amount of Credit.--For purposes of section 38, the amount of
the possessions employment credit determined under this section with
respect to any eligible employer for any taxable year is 40 percent of
the qualified possession wages paid or incurred during such taxable
year.
``(b) Qualified Possession Wages.--For purposes of this section,
the term `qualified possession wages' means any wages paid or incurred
by an employer for services performed by an employee while such
employee is a qualified possession employee to the extent such wages do
not exceed $20,000.
``(c) Qualified Possession Employee.--For purposes of this
section--
``(1) In general.--Except as otherwise provided in this
subsection, the term `qualified possession employee' means,
with respect to any period, any employee of an eligible
employer if--
``(A) substantially all of the services performed
during such period by such employee for such employer
are performed within a possession of the United States
in a trade or business of the employer,
``(B) such employee is a bona fide resident of such
possession, and
``(C) such employee is subject to tax by such
possession on income from sources within and without
such possession.
``(2) Certain individuals not eligible.--The term
`qualified possession employee' shall not include--
``(A) any individual described in subparagraph (A),
(B), or (C) of section 51(i)(1),
``(B) any 5-percent owner (as defined in section
416(i)(1)(B)), and
``(C) any individual unless such individual
either--
``(i) is employed by the employer at least
90 days, or
``(ii) has completed at least 120 hours of
services performed for the employer.
``(d) Eligible Employer.--For purposes of this section--
``(1) In general.--The term `eligible employer' means a
domestic corporation which--
``(A) elects the application of this section, and
``(B) meets the conditions of both subparagraphs
(A) and (B) of paragraph (2).
``(2) Conditions which must be satisfied.--The conditions
referred to in paragraph (1) are as follows:
``(A) 3-year period.--If 80 percent or more of the
gross income of such domestic corporation for the 3-
year period immediately preceding the close of the
taxable year (or for such part of such period
immediately preceding the close of such taxable year as
may be applicable) was derived from sources within a
possession of the United States (determined without
regard to section 904(f)).
``(B) Trade or business.--If 75 percent or more of
the gross income of such domestic corporation for such
period or such part thereof was derived from the active
conduct of a trade or business within a possession of
the United States.
``(e) Other Definitions and Special Rules.--For purposes of this
section--
``(1) Possession.--The term `possession of the United
States' includes the Commonwealth of Puerto Rico and the Virgin
Islands.
``(2) Wages.--The term `wages' has the same meaning as when
used in section 51, except that paragraph (4) of section 51(c)
shall not apply.
``(3) Treatment of certain foreign taxes.--For purposes of
this title, any tax of a foreign country or possession of the
United States which is paid or accrued with respect to taxable
income of an eligible employer for any taxable year for which
an election is in effect under this section shall not be
treated as income, war profits, or excess profits paid or
accrued to a foreign country or possession of the United
States. The preceding sentence shall not apply to the extent
such amounts exceed the amount of the credit determined under
subsection (a) for such taxable year.
``(4) Controlled groups.--
``(A) Treated as single employer.--All employers
treated as a single employer under subsection (a) or
(b) of section 52 shall be treated as a single employer
for purposes of this section.
``(B) Proportionate share.--The credit (if any)
determined under this section with respect to each
employer described in subparagraph (A) shall be such
employer's proportionate share of the wages giving rise
to such credit.
``(5) Denial of double benefit.--No credit or deduction
shall be allowable under any other provision of this title with
respect to any wages taken into account in computing the credit
allowed by this section.
``(6) Certain other rules made applicable.--Rules similar
to the rules of section 51(k) and subsections (c), (d), and (e)
of section 52 shall apply.
``(f) Transition Rules.--For purposes of this section--
``(1) In general.--In the case of a taxpayer for which a
credit is allowed under section 936 for its last taxable year
ending before February 16, 1993, the credit determined under
subsection (a) for each of the 5 taxable years in the
transition period shall not be less than the lesser of--
``(A) the old section 936 amount, or
``(B) the adjusted wage credit.
``(2) Old section 936 amount.--For purposes of paragraph
(1)(A)--
``(A) In general.--The term `old section 936
amount' means, with respect to any taxable year, the
applicable percentage of the lesser of--
``(i) the amount of the credit which would
have been determined under section 936 but for
section 936(i), or
``(ii) 115 percent of the average amount of
the credit under section 936 of the taxpayer
and its predecessors for the 3-taxable-year
period ending with the taxpayer's last taxable
year ending before February 16, 1993 (not
taking into account years in which the taxpayer
or any predecessor was not in existence).
``(B) Applicable percentage.--For purposes of
subparagraph (A), the applicable percentage shall be
determined as follows:
``In the case of the following
year in
The percent-
the transition period:
age is:
1st.............................. 100
2d............................... 100
3d............................... 75
4th.............................. 50
5th.............................. 25.
``(3) Adjusted wage credit.--For purposes of paragraph
(1)(B)--
``(A) In general.--The term `adjusted wage credit'
means, with respect to any taxable year, the amount
determined under subsection (a) by substituting the
applicable percentage for 40 percent.
``(B) Applicable percentage.--For purposes of
subparagraph (A), the applicable percentage shall be
determined as follows:
``In the case of the following
year in
The percent-
the transition period:
age is:
1st.............................. 100
2d............................... 100
3d............................... 85
4th.............................. 70
5th.............................. 55.
``(4) Treatment of additional credit.--If an additional
credit is allowed to a taxpayer for any taxable year by reason
of this subsection, then, for purposes of this title--
``(A) an election under section 936 shall be
treated as in effect with respect to such taxpayer for
such taxable year, and
``(B) the excess of the credit allowed under this
section for such taxable year over the amount of the
credit which would have been allowed without regard to
this subsection shall be treated as a credit allowed by
section 936.
``(5) Transition period.--For purposes of this subsection,
the term `transition period' means the 5-taxable-year period
beginning with the taxable year which includes February 16,
1993.''.
(b) Termination of Section 936 Credit.--
(1) In general.--Section 936 of such Code is amended by
adding at the end the following new subsection:
``(i) Termination.--Except as provided in section 45A(f)(4), no
credit shall be allowed under this section for any taxable year ending
on or after February 16, 1993.''.
(2) Conforming amendment.--Section 27(b) of such Code is
amended by adding at the end the following new sentence:
``Except as provided in section 45A(f)(4), no credit shall be
allowed under this subsection for any taxable year ending on or
after February 16, 1993.''.
(c) Credit Allowed as Business Credit.--
(1) In general.--Section 38(b) of such Code is amended by
striking ``plus'' at the end of paragraph (7), by striking the
period at the end of paragraph (8) and inserting ``, plus'',
and by adding at the end the following new paragraph:
``(9) the possessions employment credit under section
45A(a).''.
(2) Transition.--Section 39(d) of such Code is amended by
adding at the end the following new paragraph:
``(4) No carryback of possessions employment credit.--No
portion of the unused business credit for any taxable year
which is attributable to the credit determined under section
45A may be carried back to any taxable year ending before
February 16, 1993.''.
(d) Conforming Amendments.--
(1) Sections 243(b)(1)(B)(ii) and 1361(b)(2)(D) of such
Code are each amended by inserting ``45A or'' before ``936''.
(2) Section 1504(b)(4) of such Code is amended by inserting
``section 45A (relating to possessions employment credit) or''
before ``section 936''.
(3) Clause (ii) of section 6091(b)(2)(B) of such Code is
amended by inserting ``section 45A (relating to possessions
employment credit) or'' before ``section 936''.
(4) The table of sections for subpart D of part IV of
subchapter A of chapter 1 of such Code is amended by adding at
the end the following new item:
``Sec. 45A. Possessions employment
credit.''.
(e) Effective Date.--The amendments made by this section shall
apply to taxable years ending on or after February 16, 1993.
SEC. 3. EXTENSION AND MODIFICATION OF DEDUCTION OF HEALTH INSURANCE
COSTS OF SELF-EMPLOYED INDIVIDUALS.
(a) 18-Month Extension.--Paragraph (6) of section 162(l) of the
Internal Revenue Code of 1986 (relating to special rules for health
insurance costs of self-employed individuals) is amended by striking
``June 30, 1992'' and inserting ``December 31, 1993''.
(b) Increase in Amount of Deduction.--Section 162(l)(1) of such
Code is amended by striking ``25 percent of''.
(c) Conforming Amendment.--Paragraph (2) of section 110(a) of the
Tax Extension Act of 1991 is hereby repealed.
(d) Effective Dates.--
(1) In general.--The amendments made by this section shall
apply to taxable years ending after June 30, 1992.
(2) Increase.--The amendment made by subsection (b) shall
apply to taxable years beginning after December 31, 1992.
A: | Possessions Wage Credit Act of 1993 - Amends the Internal Revenue Code to allow a possessions employment credit for wages paid or incurred by an employer for services performed by an employee within a possession of the United States, if such employee is a bona fide resident of such possession and is subject to its tax on income from sources within and without such possession.
Terminates the Puerto Rico and possession tax credit.
****
| 4 | NIv2 | task1658_billsum_summarization | fs_opt | [
0.6121819019317627,
0.22758056223392487,
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0.13419288396835327,
0.24069717526435852,
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0.42184606194496155,
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0.4119470417499542,
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0.5520855188369751,
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-0.0230325125157833... |
Given the task definition and input, reply with output. In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Sentence 1: In 1993, our four year old was playing near the pool. Sentence 2: His four year old friend was looking at the bushes. Sentence 3: He picked up a garter snake and put it on the pool floor. Sentence 4: We had fun looking at it, and released it. Sentence 5: The snake catcher became a state trooper. Choices: a. Flirting. b. Snake.
| b | 5 | NIv2 | task220_rocstories_title_classification | zs_opt | [
-0.6942179203033447,
0.7464209198951721,
-0.22410151362419128,
-0.3035375773906708,
-0.4351513981819153,
-0.2550203502178192,
0.2596217691898346,
0.7159074544906616,
0.1900738626718521,
0.06818065792322159,
-0.44735634326934814,
0.13386842608451843,
-0.6622747778892517,
-0.2089911699295044... |
Given the task definition, example input & output, solve the new input case.
You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should not change any content in the given question beyond a word or two i.e. the trigger word/phrase. PersonX and PersonY should not be equally likely to fill the blank. For your question, PersonY should be a well-agreed answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people or generic names (e.g., Donald Trump, John Doe, etc.) in your question. Avoid repeating the same style or phrase in generating your modified question e.g. this task can be always solved using a simple negation i.e. by adding not, never, etc. Instead, try to increase the word diversity. Your question must contain at least 15 and at most 30 words. Your question must have at least 70% overlapping words with the given question. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that PersonX and PersonY have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY. Although there are many correct answers, you only need to write one of them.
Example: Context word: upset.
Question: PersonX yelled at PersonY because _ was so upset about the news.
Answer: PersonX.
Output: PersonX comforted at PersonY because _ was so upset about the news.
On replacing the trigger word "yelled" with its antonym "comforted", the answer flips to PersonY which is as per the given instruction. So, this is a valid question.
New input case for you: Context Word: dating.
Question: After PersonX started dating PersonY's former girlfriend, _ tried to down play the new relationship.
Answer: PersonX
Output: | After PersonX started dating PersonY's former girlfriend, _ tried to break up the new relationship. | 1 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
0.9644458889961243,
0.20476359128952026,
-0.3584849536418915,
0.0667879730463028,
0.559967041015625,
-0.9194149971008301,
1.357205867767334,
0.6403803825378418,
-0.5970978736877441,
-0.6828444004058838,
-0.20835909247398376,
0.12149441987276077,
-0.5265153050422668,
0.21351665258407593,
... |
Part 1. Definition
In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Part 2. Example
It 's a lovely film with lovely performances by Buy and Accorsi .
Answer: POS
Explanation: The sentiment of the sentence is positive. Hence, the label is 'POS'.
Part 3. Exercise
A witty , whimsical feature debut .
Answer: | POS | 7 | NIv2 | task363_sst2_polarity_classification | fs_opt | [
-0.6376444101333618,
0.6000992059707642,
0.31126946210861206,
0.179655522108078,
0.43647950887680054,
-0.4174914062023163,
0.5445736050605774,
0.3462138772010803,
0.2766034007072449,
0.20424768328666687,
-0.625309407711029,
-0.5998889803886414,
0.3910607695579529,
0.3106899559497833,
0.9... |
Teacher:In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of logical operators:
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.
Teacher: Now, understand the problem? Solve this instance: Command: round_eq { avg { all_rows ; pick } ; 4.5 }, interpretation: the average of the pick record of all rows is 4.5 .
Student: | yes | 6 | NIv2 | task211_logic2text_classification | zs_opt | [
-0.12512826919555664,
-0.3357347249984741,
-0.3035530745983124,
0.1593208611011505,
0.31878557801246643,
-0.5094540119171143,
0.29796308279037476,
0.8581138849258423,
0.07321055978536606,
-0.08621567487716675,
-0.19742369651794434,
0.05053624510765076,
0.06412104517221451,
0.21942472457885... |
Given the task definition, example input & output, solve the new input case.
Given a text, write a compressed version of it in a single sentence.
Example: Except for this small vocal minority, we have just not gotten a lot of groundswell against this from members, " says APA president Philip G. Zimbardo of Stanford University.
Output: "Except for this small vocal minority, we have not gotten a lot of groundswell against this," says APA president Zimbardo.
Both texts convey the same meaning that they have not gotten much groundswell against this except for small minority.
New input case for you: The ethics panel, to which evidence from the criminal case was forwarded, concluded its review just as Torricelli is gearing up his campaign for re-election against the Republican candidate, Douglas R. Forrester.
Output: | The ethics panel concluded its review just as Torricelli is gearing up for his campaign against Douglas R. Forrester. | 1 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-0.45625734329223633,
0.5344496965408325,
0.6074137091636658,
0.2581450939178467,
-0.09181104600429535,
-0.9647073745727539,
0.27191245555877686,
0.3929831087589264,
-0.14285537600517273,
0.5218174457550049,
-0.09196223318576813,
0.39195191860198975,
-0.12065340578556061,
-0.30600476264953... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Ex Input:
Sentence: The analyst loved getting haircuts from the hairdresser and went to her often.
Profession: analyst
Ex Output:
Unidentifiable
Ex Input:
Sentence: The salesperson greeted the attendant and tried to sell her something.
Profession: attendant
Ex Output:
Identifiable
Ex Input:
Sentence: The attendant hit the supervisor by mistake and apologized to him.
Profession: attendant
Ex Output:
| Unidentifiable
| 1 | NIv2 | task350_winomt_classification_gender_identifiability_pro | fs_opt | [
-1.1462289094924927,
0.09488849341869354,
-0.10139001905918121,
-0.08507326245307922,
0.38512662053108215,
0.24653825163841248,
-0.6086350679397583,
0.7341009378433228,
0.4903936982154846,
0.481915146112442,
-1.1809656620025635,
-0.3312264680862427,
0.24306994676589966,
-0.3792324364185333... |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explicit content. Warning: the examples and instances may contain offensive language.
Example: "Ghost in the Shell makes $19M, a lot less than expected. Now write some hot takes for ""why Marvel never made a standalone Black Widow movie"""
Example solution: No
Example explanation: (Correct Answer) This post does not reference sexually explicity or lewd content.
Problem: Pussy gotta be trash RT @Adolfhibsta: Her love life is so sad lol RT @cqminaj: im so glad khloe k dumped french's ghetto ass
| Solution: No | 5 | NIv2 | task608_sbic_sexual_offense_binary_classification | fs_opt | [
-1.321692943572998,
0.3470636308193207,
0.36904025077819824,
0.2272094488143921,
-0.1686243712902069,
0.13161146640777588,
0.32489317655563354,
0.3289835453033447,
0.3495432734489441,
0.3744933605194092,
0.5060129165649414,
-0.36083686351776123,
-0.277271568775177,
-0.7109848260879517,
0... |
Teacher:In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the sentence choices from (A) and (B), such that the story sounds fully coherent.
Teacher: Now, understand the problem? Solve this instance: Sentence1: Hester has always loved how her hair looks straight. Sentence2: One day she is invited to attend an art gallery opening. Sentence3: She decides to straighten her hair for the event. Sentence4: Her friends all compliment her on how good it looks.
(A) Hester is proud of her appearance. (B) Hester shaved her head.
Student: | A | 6 | NIv2 | task296_storycloze_correct_end_classification | zs_opt | [
-0.2716750204563141,
0.14578992128372192,
-0.051897548139095306,
-0.4378929138183594,
0.3421224057674408,
-0.5769708156585693,
-0.07823449373245239,
0.38279396295547485,
0.10241331905126572,
0.3107207119464874,
-0.213695228099823,
-0.6677790284156799,
0.29998162388801575,
-0.59964132308959... |
Detailed Instructions: This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "date", "number". A "span" answer is a continuous phrase taken directly from the passage or question. You can directly copy-paste the text from the passage or the question for span type answers. If you find multiple spans, please add them all as a comma separated list. Please restrict each span to five words. A "number" type answer can include a digit specifying an actual value. For "date" type answers, use DD MM YYYY format e.g. 11 Jan 1992. If full date is not available in the passage you can write partial date such as 1992 or Jan 1992. If you find multiple spans, please add them all as a comma separated list. Please restrict each span to five words.
Q: Passage: As of the census of 2010, there were 2,213 people, 870 households, and 563 families residing in the town. The population density was . There were 902 housing units at an average density of . The racial makeup of the town was 82.0% White (U.S. Census), 6.1% African American (U.S. Census), 0.1% Native American (U.S. Census), 5.7% Asian (U.S. Census), 0.1% Race (U.S. Census), 2.8% from Race (U.S. Census), and 3.2% from two or more races. Hispanic (U.S. Census) or Latino (U.S. Census) of any race were 6.4% of the population.
Question: How many percent of people were not African American?
Answer type: Number
A: | 93.9. | 9 | NIv2 | task028_drop_answer_generation | zs_opt | [
0.12522894144058228,
0.538427472114563,
-0.0130296116694808,
-0.33085232973098755,
0.18559762835502625,
-0.06903614103794098,
0.6649101376533508,
0.6143038272857666,
-0.05348896607756615,
0.28658533096313477,
-0.29323506355285645,
0.657425045967102,
-0.7259108424186707,
-0.2136774361133575... |
In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Example input: Context: Tracy didn't go home that evening and resisted Riley's attacks.
Answer: Find somewhere to go
Example output: What does Tracy need to do before this?
Example explanation: Tracy has to resist Riley's attack and the answer is she has to find somewhere to go so the question is what does she do before this?
Q: Context: Austin went on a trip to see their friends. After they saw their first friend, they saw another friend.
Answer: plan the trip
A: | What does Austin need to do before this? | 3 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
0.5380144119262695,
0.7909841537475586,
0.23989622294902802,
-0.1098516657948494,
-0.141344353556633,
-1.04155433177948,
0.188412606716156,
-0.29446858167648315,
0.4803366959095001,
0.46747905015945435,
-0.3665458858013153,
0.17613288760185242,
-0.41988155245780945,
-0.08248893171548843,
... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Panjabi language. The translation must not omit or add information to the original sentence.
Problem:ਪ੍ਰਧਾਨ ਮੰਤਰੀ, ਸ਼੍ਰੀ ਨਰੇਂਦਰ ਮੋਦੀ ਨੇ ਭਾਰਤ ਦੇ ਸਾਬਕਾ ਰਾਸ਼ਟਰਪਤੀ, ਡਾ.
Solution: | akir Hussain, former President of India, on his birth anniversary. | 8 | NIv2 | task1008_pib_translation_punjabi_english | zs_opt | [
-0.06379051506519318,
0.11958979070186615,
0.1120654046535492,
-0.26407402753829956,
-0.1383051574230194,
-0.5177117586135864,
1.3973419666290283,
-0.14289209246635437,
0.0719723105430603,
0.29748421907424927,
-0.9530608057975769,
-0.2421259880065918,
-0.3324819505214691,
0.207497149705886... |
Detailed Instructions: In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
Problem:W: Morning. Gall. Did you enjoy your holiday in the country? M: Yes. We had a great time. And some friends went along with us. W: Where did you stay? In a hotel? M: No. We camped in the mountains, near Snowdon. We cooked all our meals over an open fire. W: Sounds great. Was the weather good? M: The sun shone nearly every day and it didn't rain at all. W: Did you like the people there? M: Yes, they were friendly. We met some farmers and had tea in their houses., Question: Where did Gail spend the nights in the country?
Solution: | In a farm house. | 8 | NIv2 | task283_dream_incorrect_answer_generation | zs_opt | [
0.007311779074370861,
0.5943481922149658,
0.1043248176574707,
-1.1783133745193481,
0.1074378713965416,
-1.0751547813415527,
1.0851645469665527,
0.252168744802475,
-0.12983061373233795,
-0.4463335871696472,
-0.5508251190185547,
-0.00724053243175149,
-0.4472927451133728,
-0.20883621275424957... |
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'.
Let me give you an example: De belle van het bal is Hillary
The answer to this example can be: Hillary: B-PER, Clinton: I-PER
Here is why: In the given sentence, Hillary is identified as the person name, which is correct.
OK. solve this:
Het Van Rossum-effect werkt .
Answer: | None | 8 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | fs_opt | [
-0.30464473366737366,
0.7132841348648071,
-0.22653324902057648,
0.35194602608680725,
-0.3420228660106659,
-0.8528147339820862,
1.393813133239746,
0.10661537945270538,
0.5076054930686951,
-0.5458487272262573,
-0.9541831016540527,
0.634108304977417,
-0.11738283932209015,
-0.00704112928360700... |
Given the task definition and input, reply with output. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX may feel what is mentioned in the Tail or not. In this task, the feeling is an emotional reaction on the part of X or other participants in an event. For example, as a result of gift-giving, X might feel good about [one]self. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX is afraid of flying<sep>Tail: nervous
| Yes | 5 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
-0.07337294518947601,
0.11704836040735245,
0.49442026019096375,
-0.2686190605163574,
-0.293966144323349,
-0.7118042707443237,
1.2632968425750732,
0.7110018134117126,
-0.46792566776275635,
-0.46801823377609253,
-0.6831764578819275,
-0.025735054165124893,
-0.7702528238296509,
0.1235909312963... |
Teacher:In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Teacher: Now, understand the problem? Solve this instance: I try to eat well.
Student: | Do you prefer healthy food? | 6 | NIv2 | task568_circa_question_generation | zs_opt | [
-0.18551002442836761,
0.4966055750846863,
0.6694008111953735,
-0.5301452279090881,
-0.30149221420288086,
-0.5467432737350464,
-0.04369165003299713,
0.22981856763362885,
-0.3124438226222992,
-0.5606861710548401,
0.22314995527267456,
-0.6094223260879517,
-1.4823830127716064,
-0.3522780835628... |
In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have two languages at a time.
Input: Consider Input: The DRC has already coordinated the delivery of relief supplies and organized the cleaning of the flooded homes.
Output: English
Input: Consider Input: One spreads a mat with the right hand while removing one's pants with the left hand; yet the woman complains that one is not helping her quest for a child.
Output: English
Input: Consider Input: The visitor “who” arrived at the home of Pọngila (Lickwood), Pọngila asked him, “Who are you?” The visitor replied, “I am Bugijẹ” (Bitewood). Pọngila said, “Well, you had better go find yourself some wood elsewhere.
| Output: English
| 2 | NIv2 | task1621_menyo20k-mt_en_yo_language_identification | fs_opt | [
0.06863719969987869,
0.6864889860153198,
0.08799713104963303,
-0.25933295488357544,
-0.2242714762687683,
-0.9232611060142517,
0.37131452560424805,
0.09584803879261017,
0.3164955675601959,
-0.012360282242298126,
-0.4906061887741089,
0.3693861663341522,
-0.9042775630950928,
-0.25837010145187... |
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Question1: What is your review of Mint Newspaper?, Question2: Which is a better newspaper to read: Economic Times or Mint? | No | 0 | NIv2 | task1287_glue_qqp_paraphrasing | zs_opt | [
-0.7536636590957642,
0.3794582188129425,
0.4389725923538208,
0.2876882255077362,
0.021819155663251877,
-0.7808079719543457,
-0.1664322018623352,
0.03675912320613861,
0.31511354446411133,
0.3098245859146118,
-0.5631126761436462,
-0.22290873527526855,
-0.6862072944641113,
-0.1650665253400802... |
Q: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether PersonX needs what is mentioned in the Tail before the Head or not. Here need is a precondition for PersonX to achieve the event. For example, in order for PersonX to give PersonY gifts, PersonX must first buy the presents. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX digs in PersonX's heels<sep>Tail: take a stand
A: | Yes | 7 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.6446819305419922,
0.19976088404655457,
0.39928683638572693,
0.06021204963326454,
-0.4752759039402008,
-0.695493221282959,
1.2540283203125,
0.2578638792037964,
-0.4801639914512634,
-0.575198233127594,
-0.3308402895927429,
-0.2810927629470825,
-0.8611025810241699,
0.45286253094673157,
0.... |
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Input: Consider Input: To model an answer which is a collection of spans, the multi-span head uses the $\mathtt {BIO}$ tagging format BIBREF8: $\mathtt {B}$ is used to mark the beginning of a span, $\mathtt {I}$ is used to mark the inside of a span and $\mathtt {O}$ is used to mark tokens not included in a span. In this way, we get a sequence of chunks that can be decoded to a final answer - a collection of spans.
Question: How they use sequence tagging to answer multi-span questions?
Output: To model an answer which is a collection of spans, the multi-span head uses the $\mathtt {BIO}$ tagging format BIBREF8: $\mathtt {B}$ is used to mark the beginning of a span, $\mathtt {I}$ is used to mark the inside of a span and $\mathtt {O}$ is used to mark tokens not included in a span
Input: Consider Input: The dataset includes about 6,000 triples, comprised of videos, questions, and answer spans manually collected from screencast tutorial videos with spoken narratives for a photo-editing software.
Question: What kind of instructional videos are in the dataset?
Output: tutorial videos for a photo-editing software
Input: Consider Input: In this section we discuss the state of the art on conversational systems in three perspectives: types of interactions, types of architecture, and types of context reasoning. ELIZA BIBREF11 was one of the first softwares created to understand natural language processing. Right after ELIZA came PARRY, developed by Kenneth Colby, who is psychiatrist at Stanford University in the early 1970s. A.L.I.C.E. (Artificial Linguistic Internet Computer Entity) BIBREF12 appeared in 1995 but current version utilizes AIML, an XML language designed for creating stimulus-response chat robots BIBREF13 . Cleverbot (1997-2014) is a chatbot developed by the British AI scientist Rollo Carpenter.
Question: What is the state of the art described in the paper?
| Output: ELIZA PARRY A.L.I.C.E. Cleverbot
| 2 | NIv2 | task460_qasper_answer_generation | fs_opt | [
0.20777738094329834,
-0.11487827450037003,
-0.4283701777458191,
0.06901299208402634,
0.31341075897216797,
-0.23262663185596466,
0.7896661758422852,
0.6509053111076355,
-0.34918051958084106,
0.24877740442752838,
-0.27339866757392883,
0.4720143973827362,
-0.27104753255844116,
0.2919753789901... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Speaking of company failures: we're all familiar with the failure of Kodak, the company that declared bankruptcy in January 2012. | 企業の失敗と言えばコダックの失敗が有名でしょう倒産を発表したのは 2012年の1月のことでした | 0 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
-1.0961685180664062,
0.5349249839782715,
-0.13226629793643951,
-0.7970539331436157,
0.38164064288139343,
-0.23971876502037048,
0.5516778230667114,
0.5133889317512512,
-0.18139521777629852,
-0.34014368057250977,
0.6329001784324646,
-0.6933598518371582,
-0.3580440282821655,
0.373597472906112... |
You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit; (c) it does not contain three repeating characters in a row. In one step you can: (1) Insert one character to password, (2) delete one character from password, or (3) replace one character of password with another character.
Q: password = ugE9xYTXMNJl1uIP4
A: | 0 | 4 | NIv2 | task956_leetcode_420_strong_password_check | zs_opt | [
0.445112943649292,
1.3442327976226807,
0.19840186834335327,
-0.8011816740036011,
0.12363278120756149,
-0.2331620752811432,
1.4098446369171143,
-0.42621126770973206,
0.08885949105024338,
-0.8154310584068298,
0.1198749765753746,
0.0852997824549675,
-0.9306498765945435,
-0.4117409884929657,
... |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Malayalam language. The translation must not omit or add information to the original sentence.
Q: પ્રધાનમંત્રી આવતીકાલે મહારાષ્ટ્રની મુલાકાત લેશે
A: | പ്രധാനമന്ത്രി നാളെ മഹാരാഷ്ട്ര സന്ദര്ശിക്കും | 9 | NIv2 | task1041_pib_translation_gujarati_malayalam | zs_opt | [
0.6160433292388916,
-0.10856127738952637,
0.257921040058136,
-0.7693190574645996,
-0.2719193398952484,
-1.2606228590011597,
0.4766603112220764,
-0.5331420302391052,
-0.811494767665863,
-0.2367587387561798,
-0.8081305027008057,
-0.22436638176441193,
-0.24781523644924164,
0.3766666054725647,... |
Instructions: 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.
Input: I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP
Output: | jump left twice after jump around right twice | 3 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.15995806455612183,
0.8576233386993408,
-0.5578227639198303,
0.07540129125118256,
0.011687684804201126,
0.3575827181339264,
0.2456245720386505,
0.7421075105667114,
-0.31013739109039307,
-0.308086097240448,
-0.8842881917953491,
-0.3852192759513855,
-0.6209983825683594,
-0.15600170195102692... |
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
--------
Question: passage: The Southern Ocean, also known as the Antarctic Ocean or the Austral Ocean, comprises the southernmost waters of the World Ocean, generally taken to be south of 60° S latitude and encircling Antarctica. As such, it is regarded as the fourth-largest of the five principal oceanic divisions: smaller than the Pacific, Atlantic, and Indian Oceans but larger than the Arctic Ocean. This ocean zone is where cold, northward flowing waters from the Antarctic mix with warmer subantarctic waters.
question: is the antarctic ocean the same as the southern ocean?
Answer: Yes
Question: passage: On February 9, 2015, ABC Family decided to end the show after four seasons and a total of 104 episodes for the series. The series finale aired on August 5, 2015.
question: is there a season 5 of melissa and joey?
Answer: No
Question: passage: The film was shot in black and white in the styles and motifs of German Expressionism (bizarre shadows, stylized dialogue, distorted perspectives, surrealistic sets, odd camera angles) to create a simplified and disturbing mood that reflects the sinister character of Powell, the nightmarish fears of the children, and the sweetness of their savior Rachel. Due to the film's visual style and themes, it is also often categorized as a film noir.
question: is night of the hunter a film noir?
Answer: | Yes
| 7 | NIv2 | task380_boolq_yes_no_question | fs_opt | [
0.1348189413547516,
-0.1687934398651123,
-0.4515043795108795,
-0.1474580317735672,
0.21527495980262756,
0.3788127303123474,
0.5036677718162537,
0.689993143081665,
-0.12920495867729187,
-0.06900186836719513,
0.42239588499069214,
-0.3854633569717407,
-0.498369425535202,
0.21279019117355347,
... |
You will be given a definition of a task first, then some input of the task.
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Relationship: 'be situate in', Argument/Subject 1: 'hotel', Argument/Subject 2: 'centre'
Output: | Situated in Dublin City Centre , Brooks Hotel is a four-star designer/boutique hotel . | 1 | NIv2 | task677_ollie_sentence_answer_generation | zs_opt | [
0.1858588606119156,
0.21621236205101013,
-0.23763670027256012,
-0.16940301656723022,
-0.12097708880901337,
-0.20575837790966034,
0.27797189354896545,
0.4163651168346405,
0.7810020446777344,
-0.4037928581237793,
0.3641001880168915,
-0.04686100408434868,
-0.639472246170044,
-0.18307554721832... |
You are given a question title. You need to classify it into one of the 10 topics: 0 - 'Society & Culture', 1 - 'Science & Mathematics', 2 - 'Health', 3 - 'Education & Reference', 4 - 'Computers & Internet', 5 - 'Sports', 6 - 'Business & Finance', 7 - 'Entertainment & Music', 8 - 'Family & Relationships', 9 - 'Politics & Government'.
--------
Question: is there any web site where i can get free computer software books for download?
Answer: 4
Question: What's the market share of GM and Ford together in the USA?
Answer: 6
Question: Don't you hate the whole buying Christmas gifts thing?
Answer: | 0
| 7 | NIv2 | task1592_yahoo_answers_topics_classfication | fs_opt | [
-0.41288620233535767,
-0.11284150928258896,
0.13660676777362823,
-0.31938380002975464,
0.168849378824234,
-0.14228487014770508,
0.1666070520877838,
0.05061390995979309,
0.10944294184446335,
-0.33890458941459656,
0.0520906075835228,
0.09915633499622345,
-0.8065222501754761,
-0.6118544340133... |
This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.
Input: Consider Input: Passage: Further south the Southeast interior was dominated by Siouan-speaking Catawba, Muskogee-speaking Creek and Choctaw, and the Iroquoian-speaking Cherokee tribes. When war broke out, the French used their trading connections to recruit fighters from tribes in western portions of the Great Lakes region (an area not directly subject to the conflict between the French and British), including the Huron, Mississauga, Ojibwa, Winnebago, and Potawatomi. The British were supported in the war by the Iroquois Six Nations, and also by the Cherokee – until differences sparked the Anglo-Cherokee War in 1758. In 1758 the Pennsylvania government successfully negotiated the Treaty of Easton, in which a number of tribes in the Ohio Country promised neutrality in exchange for land concessions and other considerations. Most of the other northern tribes sided with the French, their primary trading partner and supplier of arms. The Creek and Cherokee were subject to diplomatic efforts by both the French and British to gain either their support or neutrality in the conflict. It was not uncommon for small bands to participate on the "other side" of the conflict from formally negotiated agreements, as most tribes were decentralized and bands made their own decisions about warfare. Question: What areas did French recruit natives from?
Output: western portions of the Great Lakes region
Input: Consider Input: Passage: During the mid-Eocene, it is believed that the drainage basin of the Amazon was split along the middle of the continent by the Purus Arch. Water on the eastern side flowed toward the Atlantic, while to the west water flowed toward the Pacific across the Amazonas Basin. As the Andes Mountains rose, however, a large basin was created that enclosed a lake; now known as the Solimões Basin. Within the last 5–10 million years, this accumulating water broke through the Purus Arch, joining the easterly flow toward the Atlantic. Question: Where did the water in the Amazon Basin flow towards when moving west?
Output: the Pacific
Input: Consider Input: Passage: Morning (2008) looked at high school biology textbooks during the 1952-2002 period and initially found a similar pattern with only 35% directly discussing race in the 1983–92 period from initially 92% doing so. However, this has increased somewhat after this to 43%. More indirect and brief discussions of race in the context of medical disorders have increased from none to 93% of textbooks. In general, the material on race has moved from surface traits to genetics and evolutionary history. The study argues that the textbooks' fundamental message about the existence of races has changed little. Question: What did Morning find when he looked at biology textbooks during the 1952-2002 period?
| Output: similar pattern
| 2 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
0.8523937463760376,
-0.14332374930381775,
-0.4427573084831238,
-0.08598542213439941,
0.35672727227211,
-0.8147144317626953,
0.421731173992157,
0.7162306308746338,
0.17035549879074097,
-0.09450115263462067,
-0.032533347606658936,
-0.767980694770813,
-1.0250040292739868,
-0.3890075087547302,... |
Definition: Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
Input: Question: What occurs when two waves combine and cancel each other out? Answer: destructive interference
Output: | Destructive interference occurs when two waves combine and cancel each other out. This occurs when a peak in one wave lines up with a trough in the other wave. | 2 | NIv2 | task593_sciq_explanation_generation | zs_opt | [
0.15021058917045593,
0.832135021686554,
-0.4569632112979889,
-0.6346222162246704,
0.11981824785470963,
-0.22122284770011902,
-0.09781565517187119,
0.2733323872089386,
0.3224440813064575,
0.3114737868309021,
-0.8135141134262085,
-0.2355736494064331,
-0.1537310779094696,
-0.22417333722114563... |
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the middle sentence, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
[Q]: Beginning: I had just made a pot of coffee. Ending: Now my hand has a lovely pink bandaid.
[A]: I accidentally burned my palm on the hot glass jug.
[Q]: Beginning: I had a home repair business. Ending: Now, I have protection in case someone sues me.
[A]: I repaired a floor board but the home owner tripped on it before I completed the job.
[Q]: Beginning: A man at a party lied and told everyone he saw a ghost that night. Ending: Even the skeptics began to get very freaked out.
[A]: | He told a really scary story.
| 5 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
0.3038530647754669,
0.822211503982544,
-0.6554597616195679,
-0.21572503447532654,
-0.25276699662208557,
-0.5127671957015991,
0.9090976715087891,
0.679958701133728,
-0.5147727727890015,
-0.12004949152469635,
-0.2612651586532593,
0.19973653554916382,
-0.03347102552652359,
-0.0973630249500274... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input list, and do the same for the numerical elements.
Q: ['15', '5921', '753', 'H', 'Y', 'y', '6099', 'X']
A: | H, Y, y, X, 15, 5921, 753, 6099 | 4 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
0.08106251060962677,
0.2613156735897064,
0.1877044141292572,
-0.01180930994451046,
-0.09667086601257324,
-0.38966095447540283,
0.30237528681755066,
0.09168758988380432,
0.119986891746521,
0.2634408175945282,
-0.4962442219257355,
0.14824102818965912,
0.1814662218093872,
0.050163134932518005... |
You are given a statement written in Bengali. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement . Output the word from the correct option .
Statement: বাংলাদেশের অন্যতম প্রধান কৌশলগত সামরিক মিত্র যুক্তরাষ্ট্র। এ প্রতিরক্ষা খাতের সহায়তা আঞ্চলিক শক্তিধর রাষ্ট্র ভারত ও চীনের কাছে গুরুত্বপূর্ণ। <MASK> প্রায়শই যৌথ কার্যক্রম পরিচালিত হয়ে থাকে। বাংলাদেশ সামরিক বাহিনীর সাথে মার্কিন প্যাসিফিক কমান্ড নিয়মিত কার্যক্রম বজায় রাখে। বাংলাদেশ নৌবাহিনীর বিশেষ বাহিনী সোয়াডস গঠনে আমেরিকার ও দক্ষিণ কোরীয় বিশেষ বাহিনীর নকশানুযায়ী যুক্তরাষ্ট্র সহায়তা করেছে।
Option A: রাজশাহী
Option B: বঙ্গোপসাগরে
Option C: চট্টগ্রাম
Option D: যশোর
বঙ্গোপসাগরে
Statement: ইসলামি জ্যোতির্বিদ্যা গঠিত হয় ইসলামি বিশ্বে সৃষ্ট জ্যোতির্বিজ্ঞান-সংক্রান্ত অগ্রগতি নিয়ে, বিশেষত ইসলামি স্বর্ণযুগে (৯-১৩শ শতাব্দীতে), এবং বেশিরভাগই লেখা হয় আরবি ভাষায়। এসব অগ্রগতির বেশিরভাগ সঙ্ঘটিত হয় <MASK>, মধ্য এশিয়া, আল-আন্ডালুস, এবং উত্তর আফ্রিকায়, এবং পরবর্তীতে দূর প্রাচ্য এবং ভারতে। এর বহিরাগত দ্রব্য এবং সেসব দ্রব্যের বিসদৃশ উপাদানের সংমিশ্রনে ইসলামি চারিত্রিক বৈশিষ্ট্যের একটি বিজ্ঞান সৃষ্টি করে, যা ঘনিষ্ঠভাবে অন্যান্য ইসলামি বিজ্ঞানের জন্মের সাথে সমান্তরাল। এসবের অন্তর্ভুক্ত হয় বিশেষত গ্রিক, সাসানীয়, এবং ভারতীয় রচনাসমূহ, যেগুলো অনুবাদ হয়েছিল এবং ভিত্তিস্বরূপ হয়েছিল।
Option A: মধ্যপ্রাচ্য
Option B: ইসফাহান
Option C: আন্দালুসিয়া
Option D: সূর্য
মধ্যপ্রাচ্য
Statement: তার আত্মপ্রকাশ ঘটে <MASK> তিরুর ভেদকুরুম্বাকাভু মন্দিরগাত্রে ম্যুরাল অঙ্কনের মধ্যে দিয়ে। এটিই কোন মন্দিরগাত্রে একজন মহিলা ম্যুরাল শিল্পীর দ্বারা অঙ্কন করা প্রথম কাজ বলে মনে করা হয়।এটি ভদ্রকালী দেবীর মন্দির হওয়াতে, তিনি দেবীর তিনটি রূপের বহিঃপ্রকাশ ঘটান ম্যুরাল অঙ্কনের মধ্যে দিয়ে। সরস্বতী (সাদা রঙে), ভদ্রকালী (গাঢ় নীল রঙে) এবং মহালক্ষ্মী (লাল রঙে) নিয়ে গঠিত মুরাল চিত্রটি আয়তনে প্রায় ৫০ বর্গফুট এবগ্ন এটি সম্পূর্ণ করতে দুই বছর সময় লেগেছে।এই চিত্রশিল্পটির মূলভাব - "রজ, তম, সত্ব'। ক্যানভাসে চিত্রিত ম্যুরাল চিত্রগুলির প্রথম একক প্রদর্শনী হয় ২০০৪ সালে ত্রিশূরে কেরালার ললিতকলা আকাদেমি আর্ট গ্যালারীতে। এছাড়াও কোচি, মুম্বাই এবং ব্যাঙ্গালোরে তার শিল্পকর্মের প্রদর্শনী হয়েছে।
Option A: মুরাল
Option B: মুম্বাই
Option C: ম্যুরাল
Option D: ত্রিশূরের
| ত্রিশূরের
| 0 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | fs_opt | [
0.297285258769989,
0.8368070125579834,
-0.4430156648159027,
0.29216182231903076,
-0.1845087856054306,
-0.4817942976951599,
0.07914842665195465,
1.0425081253051758,
0.4208698272705078,
0.3232213258743286,
-0.1612863838672638,
0.31903761625289917,
-0.22770071029663086,
-0.21451719105243683,
... |
In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.
One example: He poured out his to heart God, and after a few minutes the need left him, for a while anyway.
Solution is here: Inversion
Explanation: "heart" and "to" have been inverted.
Now, solve this: The regret that flickered across his and face was gone.
Solution: | Inversion | 6 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.42135411500930786,
0.606063723564148,
0.5052152276039124,
-0.19750018417835236,
-0.1616634726524353,
-0.1646159291267395,
1.1126291751861572,
0.14946962893009186,
0.30221012234687805,
-0.4757612943649292,
-1.0159435272216797,
-0.48189830780029297,
-0.7962809205055237,
0.1481582075357437... |
Instructions: 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.
Input: If we can put those two together in a safe space, get them to work together, we can deliver public goods right now, or in extremely short supply.
Output: | Ako možemo to dvoje zajedno spojiti u sigurnom prostoru, navesti ih da rade zajedno, možemo isporučiti javna dobra trenutno, ili u ekstremno kratkoj ponudi. | 3 | NIv2 | task1365_opustedtalks_translation | zs_opt | [
-0.44220390915870667,
1.0023021697998047,
-0.2712469696998596,
0.29508763551712036,
0.11719333380460739,
-0.8363009095191956,
0.33239609003067017,
0.02845585346221924,
-0.13786426186561584,
-0.15881651639938354,
-0.03292635828256607,
0.23979149758815765,
-0.34792789816856384,
0.00796199124... |
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in the sentence. You can use context to find the motivation; however, all the inputs do not provide context. Also, in some inputs, there can be zero motivation; output, 'None' in this case.
[EX Q]: Context: None
Sentence: A family invited some people over for Easter.
Character: People
[EX A]: None
[EX Q]: Context: Billy, John, and David went to the little league field. They wanted to practice before their big game tomorrow night. Billy found the maintenance man and asked him to turn on the lights.
Sentence: They maintenance man turned the lights on so they could practice.
Character: Billy
[EX A]: None
[EX Q]: Context: Bob was fired from his job for sexually harassing female employees. Scandalous rumors began to appear in tabloid newspapers. Angry and humiliated, his wife filed for a divorce. The bad publicity and sordid details also ruined Bob's career.
Sentence: His reputation shattered, Bob moved away to try and start over.
Character: Female employees
[EX A]: | None
| 6 | NIv2 | task294_storycommonsense_motiv_text_generation | fs_opt | [
-0.056127943098545074,
0.06155462935566902,
-1.0810920000076294,
0.05964057520031929,
0.4623066782951355,
-0.09993588924407959,
0.5759260058403015,
0.8030526638031006,
0.43067634105682373,
-0.35993945598602295,
-0.7214547991752625,
0.41570085287094116,
-0.06194566935300827,
0.0393812060356... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Ex Input:
با صدها مورد ، همه اپیدمی های پیشین را تحت الشعاع قرار داده بود.
Ex Output:
Setki zachorowań przyćmiły poprzednie wybuchy.
Ex Input:
باید آن دانش و مهارت به کار گرفته شوند ، باید به دنیای بیرون از آن دهکده ها نشان داده شوند که این دانش و مهارت حتی در دنیای امروز هم مهم هستند.
Ex Output:
To musi stać się jasne, trzeba pokazać światu, że ta wiedza i umiejętności są istotne po dziś dzień.
Ex Input:
و من پی بردم که شاید ما یا دنیای غرب برای همیشه نمیتونیم دنیارو در تسلط خودمون داشته باشیم
Ex Output:
| Uświadomiłem sobie, że być może Zachód nie będzie dominował nad światem w nieskończoność.
| 1 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-0.7540826201438904,
0.5293784141540527,
-0.5363045930862427,
0.1606263518333435,
-0.6719332933425903,
-0.20802545547485352,
0.7134861946105957,
0.32481148838996887,
0.24612945318222046,
-0.3675708770751953,
-0.928166925907135,
1.1302015781402588,
-0.07256723195314407,
0.5183482766151428,
... |
Translate from English to Hindi.
Example input: Go to the employment office.
Example output: रोजगार कार्यालय जाओ.
Example explanation: The translation is accurate.
Q: He's an educated man?
A: | वह एक शिक्षित व्यक्ति है. | 3 | NIv2 | task1329_open_subtitles_en_hi_translation | fs_opt | [
-0.5549614429473877,
0.24108538031578064,
0.17202679812908173,
-0.3504483699798584,
0.3925042748451233,
-0.8914139866828918,
0.07443836331367493,
-0.07790139317512512,
0.10162118822336197,
0.1586158126592636,
0.028239060193300247,
-0.16360749304294586,
-0.1780565083026886,
0.32358601689338... |
Teacher: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Ao longo do livro, George chama a atenção de que a sua tecnologia, a tecnologia da biologia sintética, está atualmente a acelerar a uma taxa 4 vezes superior à Lei de Moore.
Solution: Ora, lungo il percorso, George segnala che la sua tecnologia, la tecnologia della biologia sintetica, sta accelerando molto più velocemente del tasso previsto dalla Legge di Moore.
Reason: The Portugese sentence is correctly translated into Italian, because the meaning is preserved.
Now, solve this instance: Isto é um alívio imediato.
Student: | Un beneficio immediato. | 2 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.4094845652580261,
0.7799102067947388,
0.293107807636261,
-0.3418338894844055,
0.00917996559292078,
-1.0385020971298218,
-0.6507606506347656,
1.4559835195541382,
-0.32436585426330566,
0.10057355463504791,
-0.5601263046264648,
0.19156405329704285,
-0.31051450967788696,
-0.3693774342536926... |
Detailed Instructions: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Problem:Mary furnished a team the news
Solution: | Mary furnished the news to a team | 8 | NIv2 | task132_dais_text_modification | zs_opt | [
-0.3144938349723816,
0.7418546080589294,
-0.016310058534145355,
0.3859550952911377,
0.022660132497549057,
-0.7142014503479004,
-0.023104999214410782,
0.5491003394126892,
0.1630382388830185,
-0.6205252408981323,
-0.6743854284286499,
-0.1773339956998825,
-0.13159550726413727,
0.1410260945558... |
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
Ex Input:
Men hur använder vi det krismedvetande som denna ekologiska katastrof har lett till?
Ex Output:
Swedish
Ex Input:
Hur ser er tidsplan ut, hur snabbt kommer ni att lägga fram en positivlista?
Ex Output:
Swedish
Ex Input:
Det finns inget som kan ersätta rigorösa regelbundna kontroller.
Ex Output:
| Swedish
| 1 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
-0.4735974669456482,
0.47345006465911865,
0.5460953712463379,
-0.41288840770721436,
-0.22958289086818695,
-0.7049523591995239,
0.08585900813341141,
0.9158616065979004,
0.3233439028263092,
-0.09055732935667038,
-0.3847413659095764,
0.37705400586128235,
-0.2936975359916687,
-0.51961493492126... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
[Q]: Who did boxer Floyd Patterson defeat to regain the Heavyweight Championship in June 1960?
[A]: boxing
[Q]: Which American city has baseball-playing 'Dodgers'?
[A]: los angeles dodgers
[Q]: In the Bible who was the husband of Bathsheba when she was first seen by David?
[A]: | bathsheba
| 5 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
1.0348381996154785,
0.4488680958747864,
-0.4983903765678406,
-0.44312378764152527,
-0.4778750538825989,
-0.5220177173614502,
1.1254041194915771,
0.2769249677658081,
1.199653148651123,
-0.7117189168930054,
-0.8978596329689026,
0.7152591347694397,
-1.2168049812316895,
-0.23292772471904755,
... |
Instructions: Given a sentence in Vietnamese, generate a new Vietnamese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Input: Bạn sẽ thử sức mạnh của mình vì bạn thích thử thách.
Output: | Bạn sẽ thử sức lực của bạn vì bạn cho một thử thách. | 3 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
-0.03606601431965828,
0.618496298789978,
0.0015609338879585266,
-0.47748470306396484,
-0.30429959297180176,
-0.5999175310134888,
0.8326162695884705,
0.8886525630950928,
0.21871480345726013,
-0.18275240063667297,
-0.773810863494873,
0.082268625497818,
-0.48350903391838074,
0.100452817976474... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Q: [[-8, 10, -2], [-5, 24, 30, -13]]
A: | [160, 46800] | 4 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
-0.4638190269470215,
-0.013963611796498299,
-0.8991586565971375,
-0.5743088722229004,
-0.006180017255246639,
-0.4545920491218567,
1.5830755233764648,
0.09971361607313156,
-0.5470939874649048,
-0.24833112955093384,
-0.7492937445640564,
0.6072347164154053,
-0.5145403146743774,
-0.49216884374... |
Detailed Instructions: In this task, you are to Translate German text to English
Problem:Das beschriebene Pigment zeichnet sich gegenüber dem Stand der Technik durch verbesserten Glanz, geringeren Weißgrad bzw.
Solution: | According to the invention, means for viscosity adjustment and surface conditioning of the pigment are also provided. | 8 | NIv2 | task841_para_pdt_de_en_translation | zs_opt | [
-0.22841167449951172,
0.004908421076834202,
-0.0003646930563263595,
-0.8991101980209351,
-0.38020431995391846,
-0.3440130054950714,
-0.007479086518287659,
0.9650965332984924,
0.13074809312820435,
0.4462481141090393,
-0.7183088064193726,
-0.0019351472146809101,
0.05027925223112106,
0.467444... |
In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096'. If an integer is exactly in equally far from two different powers of 2 then you should output the larger power of 2. The output should be a list of integers that is the result of rounding each integer int the input list to the closest power of 2. The output should include a '[' to denote the start of the output list and ']' to denote the end of the output list.
Q: [233, 1362, 4023, 1590, 10, 81]
A: | [256, 1024, 4096, 2048, 8, 64] | 4 | NIv2 | task1444_round_power_of_two | zs_opt | [
-0.806708812713623,
1.683603286743164,
0.20650658011436462,
-0.29441317915916443,
-0.4457162618637085,
0.3694140911102295,
0.640272319316864,
-0.01936940662562847,
0.0643327385187149,
0.4435119926929474,
-0.295177698135376,
0.9095264673233032,
-0.09559257328510284,
-0.08716782927513123,
... |
In this task, you are given a sentence which contains a motion and your task is to identify the physical entities involved in the motion. The input sentence can have more than one entity and also there is at least one entity that takes part in physical motion. There are two types of entities which are animate (beings that are alive) and inanimate entities (beings that are not alive).
[EX Q]: He throws a rope around its neck and then runs off the horse after it.
[EX A]: horse
[EX Q]: Each time that happened Mrs. Woodchuck would go to her back door, where she could not be seen easily, and peep out.
[EX A]: Mrs. Woodchuck
[EX Q]: woman is in race trakc while other men are in the background and the woman makes the long jump in the competition and then a repetition is shown along the results.
[EX A]: | woman
| 6 | NIv2 | task1518_limit_answer_generation | fs_opt | [
-0.18483328819274902,
0.5077443718910217,
0.23389966785907745,
0.39472222328186035,
-0.5028718113899231,
-0.027547433972358704,
0.30888086557388306,
0.6523418426513672,
-0.04413668066263199,
-0.3803873658180237,
-0.9519287943840027,
-0.5701624155044556,
-0.6230295896530151,
-0.308884203433... |
Teacher:Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Teacher: Now, understand the problem? Solve this instance: यदि आप एक फिल्म देखना चाहते हैं तो आप टीवी पर बारी करना चाहिए.
Student: | यदि आप एक फिल्म जीना चाहते हैं तो आप टीवी पर बारी करना चाहिए. | 6 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | zs_opt | [
0.06954802572727203,
0.5244672894477844,
0.3373659551143646,
0.35948899388313293,
-0.05207297205924988,
-0.3711378574371338,
0.8345731496810913,
0.5638436675071716,
-0.2837180197238922,
-0.9197595119476318,
-0.4529620110988617,
-0.19493526220321655,
-0.3560507297515869,
0.01361457724124193... |
Detailed Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset of this corpus is 'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes, 'ADP': Adposition is a cover term for prepositions and postpositions, 'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner, 'AUX': An auxiliary is a function word that accompanies the lexical verb of a verb phrase and expresses grammatical distinctions not carried by the lexical verb, such as person, number, tense, mood, aspect, voice or evidentiality, 'CCONJ': A coordinating conjunction is a word that links words or larger constituents without syntactically subordinating one to the other and expresses a semantic relationship between them, 'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context, 'INTJ': An interjection is a word that is used most often as an exclamation or part of an exclamation, 'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea, 'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction, 'PART': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech, 'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context, 'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object, 'PUNCT': Punctuation marks are non-alphabetical characters and character groups used in many languages to delimit linguistic units in printed text, 'SCONJ': A subordinating conjunction is a conjunction that links constructions by making one of them a constituent of the other. The subordinating conjunction typically marks the incorporated constituent which has the status of a (subordinate) clause, 'SYM': A symbol is a word-like entity that differs from ordinary words by form, function or both, 'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause, 'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Q: Sentence: Even there , many Kurds look and act as if they are {{ going }} to grab the chance to vote them out of power .
Word: going
A: | VERB | 9 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.6183834671974182,
0.39657360315322876,
-0.10382923483848572,
0.044992268085479736,
-0.002170508960261941,
-0.6716223359107971,
0.862853467464447,
0.7463072538375854,
-0.20941373705863953,
-0.05392663925886154,
-0.3387216031551361,
0.11827773600816727,
-0.6860331296920776,
0.6272405982017... |
You are given a sentence in English. Your job is to translate the English sentence into Persian.
Q: They are working to create a new imagination about shared life among young Jews and Muslims, and as they do that, they cultivate what they call "curiosity without assumptions."
A: | آنها بر روی خلق تصوری جدید کار می کنند در باره زندگی مشترک میان جوانان مسلمان و یهودی ، و در این مسیر به ترویج آنچه « کنجکاوی بدون پیش فرض » می نامند هستند. | 4 | NIv2 | task1093_ted_translation_en_fa | zs_opt | [
-0.530022382736206,
0.40565401315689087,
0.18868514895439148,
0.36324554681777954,
-1.0835630893707275,
0.22568479180335999,
1.1713368892669678,
0.1086827889084816,
0.6991395354270935,
-0.21638885140419006,
-0.26474887132644653,
0.21360841393470764,
-0.8637588024139404,
-0.1208287999033927... |
Detailed Instructions: In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Problem:Sentence1: She went home, her face swollen from the surgery. Sentence2: She took painkillers and decided to work anyway. Sentence3: She sat at the computer with gauze in her mouth. Sentence4: She called her employer and said to send her some work. Sentence5: Her boss chastised her and told her to go to bed instead.
Solution: | Employer | 8 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
0.023893281817436218,
0.741558313369751,
-0.48456352949142456,
-0.3792049288749695,
0.13328173756599426,
-0.10844152420759201,
0.3850315809249878,
0.38852187991142273,
0.5593010187149048,
-0.21019582450389862,
-0.30986279249191284,
-0.43340829014778137,
-0.10577040910720825,
0.160500258207... |
Given a scientific passage and an answer, generate a question for the given answer.
Q: Passage: The strength of an acid depends on how many hydrogen ions it produces when it dissolves in water. A stronger acid produces more hydrogen ions than a weaker acid. For example, sulfuric acid (H 2 SO 4 ), which is found in car batteries, is a strong acid because nearly all of it breaks down into ions when it dissolves in water. On the other hand, acetic acid (CH 3 CO 2 H), which is the acid in vinegar, is a weak acid because less than 1 percent of it breaks down into ions in water. Answer: hydrogen
A: | The strength of an acid depends on how many of which ions it produces when it dissolves in water? | 4 | NIv2 | task594_sciq_question_generation | zs_opt | [
0.34704434871673584,
1.146438479423523,
-0.3171387016773224,
-0.8268864154815674,
0.2719464898109436,
-1.696150779724121,
0.5052194595336914,
0.7153546810150146,
0.7133138179779053,
-0.41051989793777466,
-0.26924842596054077,
-0.5624784827232361,
-0.5050826072692871,
-0.4346713423728943,
... |
Instructions: In this task, you are given a fact statement and question based on the fact. Your task is to generate the correct answer for the question. The answer needs to be generated using the context fact statement.
Input: Fact: a scale is used for measuring weight. Question: A scale is used to measure what?
Output: | fatness | 3 | NIv2 | task1399_obqa_answer_generation | zs_opt | [
0.33582669496536255,
1.082719087600708,
-1.343526005744934,
-0.29884806275367737,
-0.07867249846458435,
-0.7059366703033447,
-0.1284475028514862,
0.778266191482544,
0.031414374709129333,
-0.12780216336250305,
-0.8688702583312988,
0.769245445728302,
-0.8215751647949219,
0.3484170436859131,
... |
Q: Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Ok so just so you know this all happened in middle school and I have felt remorse. I heard from her friends how it impacted her and I feel so bad.
I’m now in high school but from November in 7th grade to May in eight I knew this girl. Let’s call her “tia”. So tia was very obviously autistic. She was sweet but very nice but I’m pretty sure she’s trans as well. And no I’m not transfobic and if you are I don’t wanna hear about it. I’ll call her “she” because I have no confirmation if this is true, and she asked to be called she.
At first she talked to me non-stop during my 1st period in 7th grade. I was fine with it, she was nice and I didn’t mind being around her. I moved out of my first period and moved to English 2nd period around January. They she started to meet me before each period. I never told her my periods or other classes it she figured it out. A bit odd but okay. I talked to her for a minute. Then she found me during lunch. I was actually just getting more popular, after years of being a fat nerd I was really exited to be friends with kids who were actually popular. She followed me there, and embarrassed me. Talked about anime, talked about bad video games. Talked about going to church with her family, then talking about how there were only 3 genders. (She said she was the only person who were the 3rd) it got really stressful. She gave me chocolate on Valentine’s Day takes about undertale for a long time.
I started to avoid her a bit and kind of resent her. Luckily I only stayed friends with the nice kids who I used to hand out with. I only talked to her at the beginning of the first class. She was still pretty chill when we were alone. Started talking about how the type of guys she finds cute were [literally describing me] I was flattered but she wasn’t my type and it was a bit awkward.
Begin eight grade. It was about a month before she found me again, I was fine with it. She was more chill actually. Then she began to follow me around everywhere. She found me at lunch even when I hid, she shewed away all but one of my remaining “friends”. I was fed up but she was a possibly trans autistic Chinese girl who was tall as shit living in an oddly racist community. I started to get fed up. Telling her I needed to be left alone, she left and came back 5 minutes later. After 2-3 months of being stressed I would see her around my corner and have to talk again I got fed up. I was eating in a grimy corner right next to the construction site alone. I decided to stop noticing her.
It was so empowering, I felt like I owned the world. I spent time with my remaining friend, I slowly gained more. She started to cry around me however. Thinking I hated her. Now her friends started telling me to talk to her and calling me mean. She had been telling them we were dating. I was confused because I thought they would all understand. After she kept following me around for another month I got the school involved. I got a makeshift restraining order, she still came to talk to me. She even once bathed into the boys bathroom said “hi I’m sorry you hate me” and left. Around May after I was having a really chill time with friends having fun and being happy during lunch. She her friend walked up to me and gave me a note from her. It said “from anonymous admirer. (Not tia)”
Looking back I should have looked at it longer. But I still have the note and I can tell you it was her writing. Comparing it to the old projects we worked together on in 7th grade. (Yes I’m a little bit of a hoarder I know) .But I started pacing and hyperventilating I had to go to fucking therapy for that shit. My friend calmed me down. I had rehearsed this for months. I walked up to her, and she was looking at me. Handed her gift back and said. “I’m flatted tia, but leave me alone. Please leave me the fuck alone”.
She was in a very religious family, so that stunned her. I had never swore around her. she started sobbing and had to take 3 days out of school after that. I felt amazing yet other hated me. I had threats of “making you feel the same” I was told the scum of the earth. And I started to get bullied, which wasn’t fun. Finally I got another note 3 weeks later. From anonymous. But it was obviously tia. I told the office and they said they could do nothing about it, as long as it said anonymous. Skip to now, I have a crush on one of her old friends, no grudge against her, and I am horribly guilty. I will answer any questions you ask btw
A: | being rude and ignoring my autistic possibly trans stalker | 7 | NIv2 | task500_scruples_anecdotes_title_generation | zs_opt | [
0.38701432943344116,
0.14794188737869263,
0.027521800249814987,
-0.11924019455909729,
0.24104450643062592,
-0.15159572660923004,
0.3506382703781128,
1.2041527032852173,
0.161845862865448,
0.06942056119441986,
-0.011304549872875214,
0.1820439100265503,
-0.572810709476471,
0.2119163274765014... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Example: Person1: Passport , please , madam .
Person2: Just a minute , please . It's in my bag . Here it is .
Person1: Thank you . Please fill out the Baggage Declaration Form .
Person2: All right . Shall I enter all my belongings ?
Person1: No , only the articles listed on the Declaration .
Example solution: 0
Example explanation: The first sentence in the conversation begins with a request, therefore there is no presence of a question.
Problem: Person1: Thank you for coming to see me off .
Person2: Not at all .
Person1: If have time , I'll come again .
Person2: You're welcome at any time .
Person1: Thank you for your hospitality . I hope I didn't cause you too much trouble during my stay .
Person2: You're most welcome .
Person1: I'm afraid I have to go now . The plane will take off soon .
Person2: Call us as soon as you get home .
| Solution: 0 | 5 | NIv2 | task1534_daily_dialog_question_classification | fs_opt | [
0.7612344026565552,
0.08636310696601868,
-0.26514628529548645,
0.3424161374568939,
0.20948322117328644,
-0.641472339630127,
0.4773174822330475,
0.2723639905452728,
-0.2047167718410492,
0.2453281730413437,
-0.2417019009590149,
-0.2496204376220703,
-0.09579488635063171,
-0.08856897056102753,... |
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the ending, and use names instead of pronouns (e.g. he / she) wherever possible.
Example Input: Beginning: Harry read that most people brush their teeth wrong. Middle: He looked up how to do it right.
Example Output: He didn't notice much difference, but felt better for changing.
Example Input: Beginning: Once I got back to my desk at work, I opened my breakfast and began. Middle: I ate all my breakfast.
Example Output: Now, I don't feel like I'm hungry at all.
Example Input: Beginning: Sadie brushed her teeth regularly. Middle: However, Sadie got a cavity anyways.
Example Output: | Sadie hated the cost of going but knew the treatment was necessary.
| 3 | NIv2 | task071_abductivenli_answer_generation | fs_opt | [
0.04808831959962845,
1.0068237781524658,
0.15567880868911743,
-0.7894408702850342,
-0.49732232093811035,
-0.13856396079063416,
0.9109692573547363,
0.4701324999332428,
-0.03660835325717926,
-0.616202712059021,
-0.7381106615066528,
0.21798911690711975,
0.13983626663684845,
-0.259858161211013... |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it is hard to detect the primary sentiment. Also, assign neutral label to reviews that express no clear sentiment toward an entity or any aspect of it.
Input: Consider Input: این محصول پرمصرفت ترین محصول روزانه تو خونه ما هستش
Output: very positive
Input: Consider Input: در یک بسته تعداد 16 عدد موجود هست. تو قیمت عادی یعنی دونه ای 1000 تومان! نمیارزه
Output: negative
Input: Consider Input: من چای عطری دوست دارم ولی این یک جورایی عطرش غیرطبیعی میزنه حوب نیس
| Output: negative
| 2 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt | [
-0.7767832279205322,
0.021316464990377426,
0.0958363264799118,
0.2297491878271103,
-0.09783836454153061,
0.41825565695762634,
1.044147253036499,
0.22504128515720367,
0.5375255346298218,
0.20949852466583252,
-0.47520363330841064,
-0.08646506071090698,
-0.4589316248893738,
0.1263550966978073... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
(CNN) A Canadian man murdered by militants in the Philippines has been described as a "kind and gregarious person who touched everyone he knew with his enthusiasm and generosity." John Ridsdel was beheaded by Islamist militant group Abu Sayyaf, which took him hostage along with three others in September last year. In a statement, Ridsdel's family said he "loved life and lived it to the fullest with his family and friends at the center. He was loved by all his friends and adored by his daughters, sister and extended family." "Our family is devastated at the loss of our father and brother John Ridsdel whose life was cut tragically short by this senseless act of violence.""This was an act of cold-blooded murder," Canada's prime minister saysJohn Ridsdel was one of four people taken hostage in SeptemberThe Islamist militant group Abu Sayyaf had released videos that purported to show the hostages
Questions:Trudeau said _ condemns the "brutality" of this "unnecessary death," and expressed his "deepest condolences" to Ridsdel's family and friends. (A) Canadian (B) Philippines (C) John Ridsdel (D) Islamist (E) Abu Sayyaf (F) Ridsdel
Output: | (A) | 1 | NIv2 | task302_record_classification | zs_opt | [
1.2584681510925293,
-0.4124622941017151,
-0.19452476501464844,
-0.2575187087059021,
0.42593562602996826,
-0.19888043403625488,
1.6482348442077637,
0.6698727011680603,
-0.3342987298965454,
0.36937665939331055,
-0.19824841618537903,
0.17470920085906982,
-0.3381153345108032,
0.615315198898315... |
Detailed Instructions: Given a sentence in French, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
Problem:À la mort de Roger, son fils - William de Roumare, comte de Lincoln - hérite du manoir.
Solution: | Roger의 죽음 후에, 그의 아들은 상속했다 - 링컨의 백작 윌리엄 de Roumare - 영주 저택. | 8 | NIv2 | task790_pawsx_french_korean_translation | zs_opt | [
-0.15764091908931732,
1.1183325052261353,
-0.20214684307575226,
-1.074936866760254,
-0.07407785952091217,
-0.44125908613204956,
0.37064749002456665,
0.3812279999256134,
0.5919462442398071,
-0.594310998916626,
0.5180357694625854,
0.3063637912273407,
-0.6117310523986816,
0.9802866578102112,
... |
Teacher:You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: پس ما هم میریم همون 'یه قسمت دیگه' "" خوب او خیلی خسته بود و کار واقعا خسته کننده است.
Student: | Andiamo a cercare altrove "". Beh, era molto stanco, e tutta la faccenda era decisamente stancante. | 6 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-0.19806872308254242,
1.0683835744857788,
-0.15288417041301727,
-0.7256220579147339,
-0.33077573776245117,
-0.41449567675590515,
0.27114230394363403,
0.7809183597564697,
0.11691020429134369,
-0.42643457651138306,
-0.8605199456214905,
0.09946468472480774,
-0.17744040489196777,
0.11608555912... |
Detailed Instructions: Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
See one example below:
Problem: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Lao: ຂໍ້ມູນໄດ້ຖືກສະໜອງໂດຍ ເລຂາທິການຂົນສົ່ງ ສະຫະລາຊະອານາຈັກ ຣູດ ເຄລີ່ ໃນສະພາຕໍ່າ ທີ່ 1730 UTC ມື້ວານນີ້.
Solution: Yes
Explanation: The converted Lao sentence is correctly translated from Japanese because converted sentence has the same message as the original Japanese sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
Problem: Japanese: そのステージのチャンピオンはウェスリーだが、このシリーズの残り8ステージのレースでは、ジョン・マーフィーが堅実にすべてのチャンピオンとなった。
Lao: ກັບເວທີໄຊຊະນະໄດ້ເປັນຂອງ Wesoly, John Murly ຊະນະແຊ້ມລວມທັງໝົດຢ່າງໜັກແໜ້ນໃນ ການແຂ່ງຂັນນີ້ຫຼັງຈາກ 8 ເວທີ ການແຂ່ງຂັນ.
Solution: | Yes | 4 | NIv2 | task1126_alt_ja_lo_answer_generation | fs_opt | [
-0.36825233697891235,
-0.18467256426811218,
-0.044926099479198456,
0.05863450467586517,
-0.2578442692756653,
-0.6153906583786011,
0.19610074162483215,
0.17033696174621582,
-0.43019378185272217,
-0.6055079698562622,
-0.556862473487854,
1.298264503479004,
-0.5179772973060608,
0.7688699960708... |
In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist multiple wrong answers, we only need a single wrong answer.
A Russian car has been given a personalised parking ticket after racking up over 60 fines in central London in less than a year. Westminster City Council took the unusual step because the high-performance vehicle was repeatedly blocking a side street in a major West End shopping district. Only four of the fines have been paid by the driver, whose Russian-registered BMW M6 is obstructing access to apartments and businesses in Babmaes Street near Regent Street. The driver's 50th ticket was stuck to the car's windscreen accompanied by a letter from the council's head of parking, Sara Sutton, warning that the authority would launch a prosecution if the vehicle continued to be parked illegally.The car, with registration plate T938KY777, has continually blocked a streetOnly four of the fines have been paid by the driver of the powerful M6Westminster City Council's head of parking complained to him personallyThe driver now owes Westminster Council £6,780 in unpaid finesDo you know the owner of the car? Please contact 02036153247 or email darren.boyle@mailonline.co.uk
Question:_ vehicles are 17th on a list of unpaid parking fines in Westminster at £13,855. | London | 0 | NIv2 | task303_record_incorrect_answer_generation | zs_opt | [
0.023019440472126007,
0.8082014918327332,
0.5063490867614746,
-0.22276218235492706,
0.3196962773799896,
-0.2749246060848236,
0.67402184009552,
0.7912598848342896,
1.1449922323226929,
0.05124904587864876,
0.12114283442497253,
0.4979069232940674,
-0.40051349997520447,
0.28373295068740845,
... |
Part 1. Definition
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Part 2. Example
English: Details were given by the UK Transport Secretary, Ruth Kelly, in the House of Commons at 1730 UTC yesterday.
Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Answer: Yes
Explanation: The converted Japanese sentence is correctly translated from English because converted sentence has the same message as the original English sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
Part 3. Exercise
English: At least 15 people are feared dead and at least 60 others are wounded after three explosions in the Hindu pilgrimage town of Varanasi, India.
Japanese: インドのバラナシにあるヒンズー教の巡礼の町で起きた３件の爆発で、少なくとも１５人が死亡、６０人が負傷したおそれがある。
Answer: | Yes | 7 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
0.1460062861442566,
-0.3682819902896881,
0.17299163341522217,
0.1765420138835907,
0.09682661294937134,
-0.3576394319534302,
0.4348938763141632,
0.34981769323349,
-0.6541030406951904,
-0.6627910137176514,
0.3117605745792389,
1.0854518413543701,
-0.2633335590362549,
0.7878430485725403,
-0.... |
Instructions: In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Input: Sentence: 'a plate of food including grilled meat baked potato carrots and lima beans'. How many words end with the letter 'o' in the sentence.
Output: | 1 | 3 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
0.053864337503910065,
1.1356823444366455,
-0.46262893080711365,
-0.34692203998565674,
-0.524838924407959,
-0.45881861448287964,
-0.0019271725323051214,
0.25559088587760925,
0.16616880893707275,
-0.8144612312316895,
-0.030402014032006264,
-0.013509400188922882,
-0.34036868810653687,
0.01554... |
Instructions: You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and report that option.
Input: Question: Find large number from below question The difference of two numbers is 1365. On dividing the larger number by the smaller, we get 6 as quotient and the 15 as remainder?
Option A: 1340
Option B: 1450
Option C: 1540
Option D: 1650
Option E: 1635
Output: | Option E | 3 | NIv2 | task750_aqua_multiple_choice_answering | zs_opt | [
0.6117473244667053,
0.363536536693573,
-0.41679972410202026,
-0.46072307229042053,
-0.17310327291488647,
0.004965024534612894,
0.8512216806411743,
0.6957577466964722,
-0.15874946117401123,
-0.4897264242172241,
-0.8459203243255615,
-0.3138100504875183,
-0.4255759119987488,
-0.51973414421081... |
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