inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Given a 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.
--------
Question: Je zou zeggen naar school omdat je een zware baan wilt.
Answer: Je zou naar school gaan omdat je een goede baan wilt.
Question: Als je een film wilt kijken, moet je ogen hebben.
Answer: Als je wilt kijken naar een flick dan moet je ogen hebben.
Question: Vlaggen komen in een verscheidenheid van kleuren.
Answer: | vleermuizen komen in een verscheidenheid van kleuren.
| 7 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.4315378963947296,
0.8513688445091248,
0.33542388677597046,
-0.5648972988128662,
-0.011707931756973267,
-0.24144524335861206,
0.0991322249174118,
0.6392495036125183,
0.01635240763425827,
-0.6676974296569824,
-0.5684032440185547,
0.16834944486618042,
-0.6468046307563782,
0.179014489054679... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
See one example below:
Problem: Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had not been in the store.
Solution: Tom had been shopping for fruit to give Jon.
Explanation: The given sentence is a good alteration. If the changed sentence was something like: "Tom had been sleeping in his house in that time", it'd contradict the first sentence. But this given sentence neither agrees with the first sentence, nor contradicts it.
Problem: Sentence 1: several people waiting to get on a train Sentence 2: They are in thier offices.
Solution: | The train is late. | 4 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | fs_opt | [
0.06728571653366089,
0.548355221748352,
0.5331885814666748,
-0.4479614496231079,
0.4824724495410919,
-0.8331862092018127,
-0.502167820930481,
0.7293040752410889,
0.27253246307373047,
-0.3389820456504822,
-0.9102272987365723,
-0.7652621865272522,
-0.6079254150390625,
-0.560128927230835,
-... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
これはケベックでの1878年以来100年以上の歴史上初の少数派による政権である。
Output: | This is the first minority government in Quebec in more than 100 years since the year 1878. | 1 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
-0.5770773887634277,
0.6279986500740051,
0.21503327786922455,
-0.5354455709457397,
0.23796965181827545,
-0.11358319222927094,
1.3993335962295532,
0.37732264399528503,
-0.2808356285095215,
0.016329698264598846,
0.10140442848205566,
-0.3982234001159668,
-0.4801575243473053,
0.084812171757221... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
Example: Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, and turned to gangs. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: The incident caused him to turn a new leaf.
Sentence5: He is happy now.
Output: Yes
As mentioned in fourth sentence, the incident turned a new leaf to Rick's life; so, he must be happy now.
New input case for you: Sentence1: Stephanie wanted to make applesauce. Sentence2: She decided to drive to the farm market to pick some delicious apples. Sentence3: As she was walking through the orchard she tripped and fell. Sentence4: She broke both of her wrists.
Sentence5: Stephanie could not get up until someone found her.
Output: | Yes | 1 | NIv2 | task298_storycloze_correct_end_classification | fs_opt | [
0.013856973499059677,
0.5310983657836914,
0.019234901294112206,
0.3689820468425751,
0.20498374104499817,
-0.4293997287750244,
0.29123494029045105,
1.076088547706604,
0.22856035828590393,
0.33881571888923645,
-0.2183186411857605,
-0.2093660533428192,
-0.483442097902298,
0.054481714963912964... |
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Q: Fact1: when the seasons change from the summer to the fall , the amount of daylight will decrease, Fact2: Daylight, sunlight, is necessary to it., Question: When the seasons change from the summer to the fall, the amount of what will decrease? (A) air (B) matter (C) Energy. (D) Solar energy (E) Light (F) sunlight (G) energy (H) planets
A: F
****
Q: Fact1: Hormones are chemical messengers that control many body functions., Fact2: Growth hormone is in many ways an anti-aging hormone., Question: What controls anti-aging? (A) A computer (B) air (C) chemical messengers (D) ice (E) an electric stove (F) Electrical energy (G) water (H) Chemical energy
A: C
****
Q: Fact1: if a living thing becomes too cold then that living thing will die, Fact2: Plants are also the oldest living things., Question: what dies if it becomes too cold? (A) plants (B) starfish (C) trout (D) planets (E) trees (F) ice (G) bears (H) clouds
A: | A
****
| 4 | NIv2 | task1297_qasc_question_answering | fs_opt | [
0.44454264640808105,
0.36273813247680664,
-0.7361876964569092,
0.29449576139450073,
-0.5821387767791748,
-2.1094579696655273,
0.009880552999675274,
0.8292484879493713,
-0.8135027885437012,
0.14768058061599731,
-0.6130465865135193,
-0.5863499641418457,
-0.8615338802337646,
0.108688965439796... |
Detailed Instructions: In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an anaphor number agreement or as an incorrect representation. An anaphor is an expression whose interpretation depends upon another expression. Anaphor number agreement is a restriction where a phrase agrees with the preceeding expression: plurals match plurals or singular expressions match singular expressions. In this task a valid representation of anaphor number agreement should be denoted as 'good' while everything else should be denoted as 'bad'. A correct representation of an anaphor number agreement will be a grammatically correct instance of a sentence where the subject and self-referencing nouns match plurality. An incorrect representation is a sentence in which the subject and self-referencing noun's plurality do not match.
Problem:Every organization aggravates itself.
Solution: | good | 8 | NIv2 | task1560_blimp_binary_classification | zs_opt | [
0.3533281683921814,
0.18516787886619568,
-0.008774932473897934,
-0.5645993947982788,
-0.8869038820266724,
-0.8926035165786743,
1.1273972988128662,
0.2211933434009552,
0.21179431676864624,
-0.3937177360057831,
-1.1107184886932373,
-0.4762129485607147,
-0.8199713230133057,
0.5152491331100464... |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Yes if the utterance contains the self-need strategy, otherwise output No. self-need is a selfish negotiation strategy. It is used to create a personal need for an item in the negotiation, such as by pointing out that the participant sweats a lot to show preference towards water packages.
Input: Consider Input: Context: 'Hello! I'm looking forward to a big camping trip I've been planning for a long time this weekend. How about you? Do you have any plans?'
Utterance: 'Me too!!! I love camping! All that activity gets me wanting to indulge on snacks and then water to quench my thirst!'
Output: Yes
Input: Consider Input: Context: 'I need extra food. I have recently been ill and my doctor has prescribed extra calories so I can regain my strength.' 'I’m sorry to hear that! If there are 3 packages of food please take 2 of them. I could stand to eat less!' 'Thank you. That deal is perfect!🙂'
Utterance: 'Sounds good to me. Let me see how to execute this trade!'
Output: No
Input: Consider Input: Context: 'I need a lot of water too. Thank you for understanding.' 'no sorry i dont think so. i need some extra water because i only need a little food' 'Okay then. I can give up one for you. Will that be okay?'
Utterance: 'no i think i need 2 waters'
| Output: No
| 2 | NIv2 | task356_casino_classification_negotiation_self_need | fs_opt | [
0.2782883942127228,
0.2558254301548004,
-0.4479682445526123,
0.08256695419549942,
-0.2583933174610138,
-0.9458212852478027,
0.41967007517814636,
0.6498584151268005,
-0.5000987648963928,
0.33853739500045776,
0.41478225588798523,
-0.26946890354156494,
-1.1122016906738281,
-0.4102599620819092... |
Detailed Instructions: Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Problem:Mount Aso has the world's largest active volcanic crater. In which country is it situated?
Solution: | aso | 8 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
1.3181254863739014,
0.6990435719490051,
0.01107955351471901,
0.40722453594207764,
-0.50816810131073,
-0.15684941411018372,
0.22630423307418823,
0.353682279586792,
0.5166382789611816,
0.5255710482597351,
0.38749921321868896,
0.10786005854606628,
-0.11087179183959961,
-0.17082646489143372,
... |
You will be given a definition of a task first, then some input of the task.
Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
concept: Reggie Bush question: where is reggie bush from?
Output: | ['Spring Valley'] | 1 | NIv2 | task1601_webquestions_answer_generation | zs_opt | [
-0.48147261142730713,
0.6730760335922241,
0.15633916854858398,
-0.0921354666352272,
-0.18825310468673706,
-0.7440014481544495,
0.8030672073364258,
-0.19070418179035187,
0.6044399738311768,
-0.11769820749759674,
-0.9578192830085754,
0.4836800694465637,
-0.7068647742271423,
0.155568212270736... |
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon 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 (e.g., Donald Trump, Putin, etc.) in your question. Avoid repeating the same style, pattern, or phrases in each question, try to increase diversity by varying sentence structure, blank placement, etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Person X and Person Y have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
Example Input: Context Word: Children.
Example Output: Children are a big part of PersonX life and PersonY life also involves children, _ needs a break every now and then.
Example Input: Context Word: stride.
Example Output: Since PersonX had a longer stride than PersonY, _ passed them up in the race.
Example Input: Context Word: sharp.
Example Output: | PersonX always kept a sharp knife in the kitchen compared to PersonY because _ was a professional chef.
| 3 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
0.560962438583374,
0.11051379889249802,
-0.11328860372304916,
0.43029993772506714,
0.25414085388183594,
-0.4936426281929016,
1.17136812210083,
0.9968909025192261,
-0.4174739718437195,
-0.8504343032836914,
-0.24375800788402557,
0.06707587838172913,
-0.42749154567718506,
-0.00478450115770101... |
Given the task definition and input, reply with output. In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Why are people so racist towards the Irish?
| Are Irish people racist towards black people? | 5 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
-0.3271149694919586,
2.0112972259521484,
0.6933588981628418,
0.046264924108982086,
-0.1471116542816162,
-0.25022926926612854,
0.32477104663848877,
0.4213438928127289,
0.2964223623275757,
0.3203294277191162,
-0.5551244020462036,
0.6784689426422119,
-0.6376610994338989,
-0.10749328136444092,... |
In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in the statement. Indicate your answer as 1,2, or 3 corresponding to the choice number of the selected sentence.
Example input: Statement: Next to the MGM Grand you will find M and M World, four stories of merchandise and memorabilia dedicated to the candy that doesn't melt in your hand. Choices: 1. The candy has many fans who love its attractions. 2. There's four stories of memorabilia dedicated to a candy. 3. That particular candy melts and becomes difficult to eat.
Example output: 2
Example explanation: The candy may or may not be popular, and does not melt and become difficult to eat. Hence the second choice is the only one that fully agrees with the statement.
Q: Statement: And this is something else, stranger, you went for your gun a few minutes ago. Choices: 1. He has a gun. 2. He has a gun and he brings it with him everywhere. 3. He doesn't have a gun.
A: | 1 | 3 | NIv2 | task200_mnli_entailment_classification | fs_opt | [
0.1552583873271942,
0.3710480332374573,
-0.10302643477916718,
-0.22702068090438843,
0.33676034212112427,
-0.5797066688537598,
0.16620582342147827,
0.5386612415313721,
0.18281123042106628,
-0.2673329710960388,
-0.7867374420166016,
0.17216317355632782,
-0.3838081955909729,
-0.471097230911254... |
Teacher: Given a sentence in German, generate a new German 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? If you are still confused, see the following example:
Sie verwenden den Behälter, um Kohlenstoff zur Anlage zu transportieren.
Solution: Sie arrangieren den Behälter, um Wasser an die Anlage zu versenden.
Reason: 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 giving water/carbon to a plant and the changes in the sentence follows the commonsense knowledge.
Now, solve this instance: Sie werden wahrscheinlich ein Blatt Quarz in einem Wind schieben.
Student: | Sie werden wahrscheinlich ein Blatt Papier in einem Notizbuch zu finden. | 2 | NIv2 | task416_mickey_de_sentence_perturbation_generation | fs_opt | [
-0.18646499514579773,
0.5425573587417603,
-0.05009659007191658,
-0.5434188842773438,
0.17828363180160522,
-1.094433307647705,
0.49821120500564575,
1.2661317586898804,
0.23909005522727966,
0.03956922888755798,
0.01466330885887146,
0.0020039391238242388,
-0.9322627186775208,
-0.1162981763482... |
Given the task definition and input, reply with output. In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
What is the part-of-speech tag of the word "former" in the following question: Where did the former speedway rider compete at the 2012 Paralympics ?
| JJ | 5 | NIv2 | task382_hybridqa_answer_generation | zs_opt | [
0.10085657238960266,
0.274400532245636,
-0.30016350746154785,
0.16390155255794525,
-0.15200720727443695,
-0.5436705946922302,
0.6619689464569092,
0.7958056926727295,
-0.3335707187652588,
-0.2673320174217224,
-0.5250147581100464,
0.9304710626602173,
0.07010701298713684,
0.44232243299484253,... |
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: [[10, -40, 14], [37, -26], [34, -34, -19], [-50, 6, -39], [-19, -26, -24, -37], [11, 25, 28, 17], [16, 27], [-29, -24, -46]]
A: | [-5600, -962, 21964, 11700, 438672, 130900, 432, -32016] | 4 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
0.028609268367290497,
0.5257555246353149,
-0.6091775298118591,
-0.7510196566581726,
-0.42480358481407166,
-0.272251695394516,
1.4793586730957031,
-0.32873013615608215,
-0.4126189947128296,
-0.32521915435791016,
-0.9944869875907898,
0.43151530623435974,
-0.6403681039810181,
-0.1457977294921... |
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.
Ex Input:
Sentence1: A strange lady walked into the club. Sentence2: She flirted with any man in sight and was asking for free drinks. Sentence3: Due to her behavior, the security guards came. Sentence4: They escorted her to the front of the club. Sentence5: She tried fighting back but she couldn't get inside the club again.
Ex Output:
Security guards, Strange lady, Any man
Ex Input:
Sentence1: For mother's day Jane cooked her mother's favorite meal. Sentence2: It is Italian spaghetti with garlic bread. Sentence3: She spent several hours cooking it. Sentence4: Her mom eat it. Sentence5: She loved it.
Ex Output:
Jane, Mother
Ex Input:
Sentence1: Dan saw a beautiful girl at the club. Sentence2: Eventually he built up the nerve to talk to her. Sentence3: He stumbled over and stuttered when trying to talk to her. Sentence4: She thought it was cute and gave him a chance. Sentence5: It didn't go anywhere but it gave him courage.
Ex Output:
| Club, Dan, Girl
| 1 | NIv2 | task292_storycommonsense_character_text_generation | fs_opt | [
0.6988387107849121,
-0.35113823413848877,
-0.5953662395477295,
-0.0394798219203949,
0.499271035194397,
-0.562427282333374,
0.983562707901001,
1.1601204872131348,
0.41329512000083923,
0.038477588444948196,
-0.49387022852897644,
-0.5172138810157776,
-0.6886172294616699,
0.12281103432178497,
... |
Detailed Instructions: You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
See one example below:
Problem: Кому они так необходимы, эти страдания?» А у меня спина болит, ходить больно :(
Solution: sadness
Explanation: The input text states the suffering of a person who is unable to walk as his back hurts. There is an emotion of 'sadness' in this text. So, the input text is labeled correctly as 'sadness'.
Problem: Сказали посмотреть пуховик С ужасом представляю что предстоит ходить по магазинам Аааааааааа(
Solution: | fear | 4 | NIv2 | task1662_cedr_ru_classification | fs_opt | [
-0.1474982649087906,
-0.1402248591184616,
0.06036026030778885,
-0.14576493203639984,
-0.24761156737804413,
-0.07314413785934448,
0.724875807762146,
0.7607503533363342,
0.19998463988304138,
0.01801898144185543,
-0.46066951751708984,
0.06589221954345703,
0.39212825894355774,
0.30568480491638... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Sentence 1: A woman ventriloquist is playing with her colorful green and red dragon in a beautiful garden backdrop. Sentence 2: The woman is playing with her dragon. | The woman ventriloquist is playing with a pig doll. | 0 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-0.7453559637069702,
0.7879714965820312,
-0.06564241647720337,
-0.8207347989082336,
-0.5500024557113647,
-0.2021901160478592,
0.15212053060531616,
0.6132427453994751,
0.5708216428756714,
-0.824546754360199,
-0.7730639576911926,
-0.7343793511390686,
-0.5532598495483398,
0.08437079936265945,... |
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
[EX Q]: Personality: I like to train dogs.
I like to make cookies.
My favorite drink is coke.
I like bagels with everything on them.
I like to run.
Chat history: -Hello how are you today.
Candidates 1) Well, I'm not the typical beach beauty of my area. I like things simple. 2) Wow that's nuts!! What do you do in the little free time you have? 3) Oh man I miss indian summer. Nobody in Al knows what that's. 4) Great! I have time for a quick chat before I go for my next run.
[EX A]: Great! I have time for a quick chat before I go for my next run.
[EX Q]: Personality: I played football in college.
I have a passion for politics.
I work at a candy store.
I ve been married for five years.
Chat history: -Hi, I'm josh, I've just returned from the beach.
-Names Jake, and I pay football for the Florida gators.
-That's so cool! How old were you when you started?
-Well I was in high school. Its a college football team. Got my scholarship through the sport.
-Good for you! What is your major?
-Chemistry major minor in physics.
-Sounds serious. What will be your profession?
-Not sure. I I own a candy store. Have been married for 5 now.
-How is married life? Do you have kids?
-It is not bad. At least my wife can tolerate me. Lol.
-I hope I find one like that someday.
Candidates 1) Yeah I believe that you will. 2) Trying to get this ink off my shirt. 3) Where in Mexico do you go? 4) I sure do! It is when the baby animals come out!
[EX A]: Yeah I believe that you will.
[EX Q]: Personality: I don T like kids.
I have 3 ferrari cars in my garage.
I have 3 ex wives.
I don T like acting.
Chat history: -
Candidates 1) Hi there, how are you today? 2) Doing well, just getting ready for work. 3) I am doing well, working on my online business. How are you? 4) I and fine just watching superhero shows.
[EX A]: | Hi there, how are you today?
| 6 | NIv2 | task1730_personachat_choose_next | fs_opt | [
-0.14813880622386932,
-0.15056803822517395,
-0.8692940473556519,
0.16689713299274445,
0.0007942442316561937,
-0.1751779019832611,
1.1091874837875366,
0.23721621930599213,
-0.4671669900417328,
-0.4967729151248932,
-0.29168128967285156,
0.41259267926216125,
-0.0611906424164772,
0.05177300423... |
In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
claim: The best way to protect Scottish interests in the EU is to vote for independence.
perspective: If it should come to it, the Scottish people would not vote for independence. | undermine | 0 | NIv2 | task738_perspectrum_classification | zs_opt | [
0.30038362741470337,
1.0503864288330078,
0.31412434577941895,
-0.2132144272327423,
-0.04642696678638458,
-1.4963462352752686,
1.061462640762329,
0.10970918834209442,
0.43825802206993103,
0.6313164234161377,
0.4390237331390381,
0.3730549216270447,
-0.21878017485141754,
-0.00959070771932602,... |
You will be given two questions. You should decide whether the second question is a good paraphrase of the first one. If you are able to tell that the two questions are the same without any other information, answer "Yes", otherwise answer "No".
--------
Question: original question: Which sports team's home is [Dodge City Civic Center]
paraphrase: The [Dodge City Civic Center] is home to which sports team?
Answer: Yes
Question: original question: Which galaxy is [M74 Group] in?
paraphrase: [M74 Group] encompasses what galaxy?
Answer: Yes
Question: original question: What type of award is [ALMA Award for Outstanding Comedy, Variety or Music Series/Special]
paraphrase: [ALMA Award for Outstanding Comedy, Variety or Music Series/Special] is what type of award?
Answer: | Yes
| 7 | NIv2 | task404_grailqa_paraphrase_validation | fs_opt | [
-0.7554540634155273,
0.2511867880821228,
0.4458019733428955,
0.010274076834321022,
0.10796354711055756,
-0.36614102125167847,
0.2501682639122009,
0.2742796540260315,
0.48789116740226746,
-0.7270494103431702,
-0.47549697756767273,
0.7345377802848816,
-0.6762522459030151,
-0.2080809623003006... |
Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
Edaila varra ad ah paatha bro kaduppa irkuu adha edhachu pannuga broo. Videos la bangam ah irku broo 🤗🤗
Hope Speech
இந்திய அரசால் தடைசெய்யப்பட்ட ஒவ்வொரு செயலிக்கும் அதற்கு சரியான மாற்று உள்ளது என்பதை உணர்ந்த காலம் இது.
Not Hope Speech
Bro hello everyone iam madan gowri ya marandhutiga
| Not Hope Speech
| 0 | NIv2 | task680_hope_edi_tamil_text_classification | fs_opt | [
-0.04021792858839035,
0.2066437304019928,
0.41209667921066284,
0.11958960443735123,
-0.4971770644187927,
-1.0037965774536133,
0.32200759649276733,
1.0455163717269897,
-0.3211263120174408,
-0.0060491012409329414,
-0.6507187485694885,
-0.20755982398986816,
-0.19402505457401276,
-0.2289305627... |
Q: You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must not be associated with any specific word in the question; instead it should depend on the context present in the question. The expected answer should not be equally likely to fill the blank. For your question, there should be a agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use animals or proper nouns (e.g., New York, Macbook, Jeff Bezos, McDonald's, ...) as your objects. Avoid repeating the same style, pattern or phrases in each question, try to increase diversity by varying sentence structure, blank placement etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Object X and Y have the same number e.g. when ObjectX is singular, Object Y must be singular, too. The two objects (Object X & Object Y) should be used ONCE in your question. Here is a list of attributes and associated pair of contrastive words which may be used to create a valid question using the objects. You can use either of the contrastive words, but not both. You should think about more such attributes and associated words and use them in your question.
| Attribute | triggerword | contrastive triggerword |
| age | old | new |
| altitude | low | high |
| area | small | vast |
| brightness | dark | light |
| clarity | obscure | clear |
| cleanness | dirty | clean |
| complexity | simple | complex |
| cost | cheap | expensive |
| density | sparse | dense |
| depth | shallow | deep |
| distance | near | far |
| electric conductivity | low | high |
| flexibility | rigid | flexible |
| granularity | fine | coarse |
| hardness | soft | hard |
| length | short | long |
| magnitude | small | large |
| mass | small | large |
| odor | weak | strong |
| pressure | low | high |
| resistance | low | high |
| shape | round | sharp |
| shape | flat | spiky |
| size | small | large |
| sound | quiet | loud |
| sound pitch | low | high |
| speed | slow | fast |
| stability | unstable | stable |
| strength | weak | strong |
| temperature | low | high |
| texture | smooth | rough |
| thermal conductivity | low | high |
| thickness | thin | thick |
| volume | small | large |
| weight | light | heavy |
| width | narrow | wide |
| location | in | out |
| location | up | down |
| location | above | below |
| location | on | off |
| location | to | from |
Context Word: comic book.
A: | Comic books don't really entertain Clara, but she really likes novels. She thinks the _ are lame. | 7 | NIv2 | task031_winogrande_question_generation_object | zs_opt | [
0.7670046091079712,
0.5616346597671509,
0.26726794242858887,
0.14625920355319977,
0.6383310556411743,
-0.9328018426895142,
0.5523768663406372,
1.2359524965286255,
-0.3542931079864502,
-0.495006799697876,
-0.37878599762916565,
0.4126923680305481,
-0.3654802739620209,
-0.03079470619559288,
... |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
[EX Q]: I loved the product when it arrived, but within 2 weeks of using it, one side is completely dead and I've barely used it. Also, my old adapter, while being much more compact, didn't get hot as soon as it's plugged in. It may just be defective, or maybe this model was designed to break fairly quickly. Either way I'm disappointed. :(
[EX A]: Bad review
[EX Q]: If you've purchased many types of mosquito repellent over the years, you'll have heard all about this product.
[EX A]: Good Review
[EX Q]: Not enough action and not very interesting. I do have to say that for some readers this book may hold more interest than it did on my part but really the title caught me off guard. The story starts with a beautiful wife being killed by a psychotic killer who then goes about trying to destroy those around him as he murders every man in sight, no exceptions. As if that's not bad enough, there is the woman of course who's husband has just been murdered and the son who would be dead soon.
[EX A]: | Bad review
| 6 | NIv2 | task929_products_reviews_classification | fs_opt | [
-0.5374221205711365,
0.3446882367134094,
-0.4681713283061981,
-0.8085429668426514,
0.35312536358833313,
-0.9659934043884277,
0.2601551413536072,
0.8631347417831421,
-0.08534608781337738,
0.8538227677345276,
-0.5261154174804688,
0.2432175576686859,
-0.12540581822395325,
-0.22867470979690552... |
Q: In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Passage: In 2001 the compilation Rotten Apples was released. The double-disc version of the album, released as a limited edition, included a collection of B-sides and rarities called Judas O. The Greatest Hits Video Collection DVD was also released at the same time. This was a compilation of all of the Pumpkins promo videos from Gish to Machina along with unreleased material. Vieuphoria was released on DVD in 2002, as was the soundtrack album Earphoria, previously released solely to radio stations in 1994.
Billy Corgan and Jimmy Chamberlin reunited in 2001 as members of Corgan's next project, the short-lived supergroup Zwan. The group's only album, Mary Star of the Sea, was released in 2003. After cancelling a few festival appearances, Corgan announced the demise of the band in 2003. During 2001 Corgan also toured as part of New Order and provided vocals on their comeback album Get Ready. In October 2004 Corgan released his first book, Blinking with Fists, a collection of poetry. In June 2005, he released a solo album, TheFutureEmbrace, which he described as "(picking) up the thread of the as-of-yet-unfinished work of the Smashing Pumpkins". Despite this, it was greeted with generally mixed reviews and lackluster sales. Only one single, "Walking Shade", was released in support of the album.
In addition to drumming with Zwan, Jimmy Chamberlin also formed an alternative rock/jazz fusion project band called Jimmy Chamberlin Complex. The group released an album in 2005 titled Life Begins Again. Corgan provided guest vocals on the track "Lokicat". James Iha served as a guitarist in A Perfect Circle, appearing on their Thirteenth Step club tour and 2004 album, eMOTIVe. He has also been involved with other acts such as Chino Moreno's Team Sleep and Vanessa and the O's. He continues to work with Scratchie Records, his own record label, as well. D'arcy Wretzky has, aside from one radio interview in 2009, not made any public statements or appearances nor given any interviews since leaving the band in 1999. On January 25, 2000, she was arrested after she allegedly purchased three bags of crack cocaine, but after successfully completing a court-ordered drug education program, the charges were dropped.Corgan insisted during this period that the band would not reform, although when Zwan broke up he announced, "I think my heart was in Smashing Pumpkins […] I think it was naive of me to think that I could find something that would mean as much to me." Corgan said in 2005, "I never wanted to leave the Smashing Pumpkins. That was never the plan." On February 17, 2004, Corgan posted a message on his personal blog calling Wretzky a "mean-spirited drug addict" and blaming Iha for the breakup of the Smashing Pumpkins. On June 3, 2004, he added that "the depth of my hurt [from Iha] is only matched with the depth of my gratitude". Iha responded to Corgan's claims in 2005, saying, "No, I didn't break up the band. The only person who could have done that is Billy.".
Question: What is the full name of the person who released a solo album, TheFutureEmbrance, in June 2005?
A: | Billy Corgan. | 7 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.6959636211395264,
0.4086492657661438,
-0.5395622253417969,
0.3024396598339081,
0.22583752870559692,
-0.8629177212715149,
0.9066771864891052,
0.49749165773391724,
-0.20858249068260193,
0.7423369288444519,
-0.1001942902803421,
0.8467410802841187,
-0.42326951026916504,
-0.1890997290611267,
... |
Detailed 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.
Problem:I_TURN_RIGHT I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK
Solution: | look opposite right thrice and look right | 8 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.4498685896396637,
0.9254853129386902,
-0.4055213928222656,
-0.1115988940000534,
-0.11287157982587814,
0.404080867767334,
0.11390560120344162,
0.5587584972381592,
-0.41423970460891724,
-0.3068459630012512,
-0.7649985551834106,
-0.3979717791080475,
-0.5612179636955261,
0.041346997022628784... |
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Input: הם מורידים מהירויות בכחמישה עד עשרה אחוזים.
Output: | انها تخفف من السرعة بنسبة 10-5% | 3 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.7133020758628845,
0.7998219728469849,
0.12342233210802078,
-0.2419857531785965,
-0.5512717962265015,
0.5629483461380005,
0.4061126112937927,
0.614533543586731,
0.8545511960983276,
-0.6038836240768433,
-1.989524245262146,
-0.9657188653945923,
-0.44818609952926636,
0.09583865106105804,
... |
Given a fact, create a question that can be answered using the fact. Construct the question such that it is unambiguous, has a unique answer and the answer can be given using the fact.
One example is below.
Q: Fact: deep sea animals live deep in the ocean
A: Frilled sharks and angler fish live far beneath the surface of the ocean, which is why they are known as?
Rationale: The output question is related to the fact in that frilled sharks and angler fish are deap sea animals. The question is related to the fact so this is a good question.
Q: Fact: as the amount of food an animal eats increases , the weight of that animal will increase
A: | Just like with humans, if another organism consumes more calories than it burns off, it will inevitably? | 9 | NIv2 | task1398_obqa_question_generation | fs_opt | [
-0.3304596543312073,
0.09567880630493164,
-0.821796178817749,
-0.22511237859725952,
-0.7772510647773743,
-0.3661506175994873,
0.314947247505188,
0.13876011967658997,
-0.3027716279029846,
-0.4385509192943573,
-0.3421538174152374,
0.01106972061097622,
-2.1329243183135986,
0.3740839660167694,... |
TASK DEFINITION: In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Spanish language.
PROBLEM: What approximate proportion of the human genome is estimated to be coding ?
SOLUTION: ¿Qué proporción aproximada del genoma humano se estima que es codificante?
PROBLEM: The detection of the end point of a chloride assessment by the Volhard method occurs
SOLUTION: La detección del punto final de una valoración de cloruros por el método de Volhard se produce
PROBLEM: In what year the 1st World Conference on Health Promotion in Ottawa was held
SOLUTION: | En qué año se celebró la 1ª Conferencia mundial sobre Promoción de Salud situada en Ottawa
| 8 | NIv2 | task1432_head_qa_language_translation_en_to_es | fs_opt | [
0.23977431654930115,
0.3491710424423218,
-0.4968128800392151,
-0.8480376601219177,
-0.2887854278087616,
-0.380977600812912,
-0.02361733838915825,
0.42673394083976746,
0.471244752407074,
-0.016467072069644928,
-0.39281243085861206,
0.4227699637413025,
-0.18692734837532043,
0.089371889829635... |
Instructions: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
Input: #1 return the Child organization Acadia Students Union
#2 return city of #1
Output: | Child organization Acadia Students' Union is in what city? | 3 | NIv2 | task184_break_generate_question | zs_opt | [
0.6404603719711304,
0.15600883960723877,
-0.8599326014518738,
0.6239399909973145,
0.3090176284313202,
-0.4959053099155426,
0.9800228476524353,
0.482286661863327,
-0.37103402614593506,
0.5250021815299988,
-0.45531195402145386,
0.45854663848876953,
-0.18950484693050385,
0.042285382747650146,... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Fact: most mosses are small.
Question: What are usually small?
Student: | mosses. | 6 | NIv2 | task041_qasc_answer_generation | zs_opt | [
0.19237971305847168,
1.0054302215576172,
-0.07023663073778152,
-0.5351547598838806,
-0.4976581931114197,
-1.058284044265747,
0.3052256405353546,
0.8150214552879333,
-0.46483737230300903,
-0.3657078742980957,
-0.9193977117538452,
0.18478462100028992,
-0.441005676984787,
-0.2276913821697235,... |
Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) There can be instances where direct correlation to the claim is not available. Make use of the sentences in the paragraph to provide a corresponding output supporting the claim. 3) The explanation should be at least one and at most twelve sentences long.
Q: Paragraph: Wearing an army cap and saluting from his wheelchair, Piveta left the Armed Forces Hospital in Brasilia to an ovation from medical staff and a soldier’s trumpet homage. “Winning this battle was for me bigger than winning the war,” he said of his fight against an invisible enemy. “In war you kill or live. Here you have to fight to live,” he added. Piveta was a second lieutenant in the Brazilian Army forces during World War Two and served in Africa. He tested positive for the coronavirus two weeks ago and spent two days in the hospital’s intensive care ward after he developed pneumonia. But he never needed a ventilator and recovered due to his good physical shape derived from life in the military and longevity that runs in his family, the hospital’s director said. Piveta’s release from hospital was a bright moment in an otherwise darkening scenario as the epidemic hit Brazil with force this week. The coronavirus has infected 25,262 people and killed 1,532 people, the health ministry said on Tuesday, with 204 deaths just in the last 24 hours. Claim: 'Bigger than winning the war': WWII vet, aged 99, survives coronavirus in Brazil.
A: | World War Two veteran Ermando Piveta, aged 99, became the oldest Brazilian to recover from the coronavirus on Tuesday. | 4 | NIv2 | task1369_healthfact_sentence_generation | zs_opt | [
0.24822673201560974,
0.7060792446136475,
-0.7420534491539001,
0.04584667459130287,
-0.11735650897026062,
-1.3533315658569336,
0.3455382287502289,
0.9522786140441895,
0.2661425471305847,
0.683403491973877,
-0.6430022716522217,
0.9304344654083252,
-0.956321656703949,
0.7419946193695068,
0.... |
A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: एयर मार्शल डी. चौधरी एवीएसएम वीएम वीएसएम ने पश्चिमी वायु कमान के वरिष्ठ एयर स्टाफ ऑफिसर के रूप में पदभार ग्रहण किया है।
A: | ایئرمارشل ڈی چودھری نے ویسٹرن ایئرکمانڈ میں سینئر ایئر اسٹاف آفیسر کی حیثیت سے چارج سنبھالا | 4 | NIv2 | task1053_pib_translation_hindi_urdu | zs_opt | [
0.10494381189346313,
0.14047065377235413,
-0.5864990949630737,
-0.920410692691803,
-0.056151315569877625,
-0.18050545454025269,
0.15399283170700073,
0.25863468647003174,
0.3820224702358246,
0.09317462146282196,
0.24348050355911255,
-0.7485213279724121,
0.05848851799964905,
0.34810078144073... |
Teacher: Given a sentence in Bulgarian, generate a new Bulgarian 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? If you are still confused, see the following example:
Вие можете да планирате една шапка портфейл, за да носят всичките си кредитни карти.
Solution: Можете да използвате кредитна карта портфейл, за да влезете във всичките си кредитни карти.
Reason: 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 credit card wallets and the changes in the sentence follows the commonsense knowledge.
Now, solve this instance: Ефектът от извода е рационален, мирен idable.
Student: | Низпославането на истината е явен, всеблаг. | 2 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | fs_opt | [
0.5723011493682861,
0.5153621435165405,
-0.1341838538646698,
-0.9339781999588013,
0.009284278377890587,
-0.8343787789344788,
0.8723229765892029,
1.036107063293457,
1.089661955833435,
-0.26782047748565674,
-0.10012964904308319,
0.7729266881942749,
-0.5211244225502014,
-0.7735347747802734,
... |
Teacher: Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Teacher: Now, understand the problem? If you are still confused, see the following example:
Verify if the sentiment of the following document towards the entity Bill Clinton is Negative. Bill Clinton knows how to win friends and influence people.
Solution: no
Reason: Here the author of the document praises Bill for this ability to win friends. So the sentiment should be Positive and not Negative.
Now, solve this instance: Verify if the sentiment of the following document towards the entity Liam Gallagher is Neutral . Maybe not. But neither does Liam feel apologetic for sinking his sound even deeper into the bedrock of the 1960s with As You Were. “Yeah maybe I wish I’d been around back then ” he concedes. “These days there’s a lot of genres which I guess is a good thing but it can also get in the way. I’d have liked the times when it was just The Stones The Kinks The Who The Small Faces The Beatles and all that stuff. I reckon they were more my people.”
Student: | no | 2 | NIv2 | task422_persent_sentence_sentiment_verification | fs_opt | [
-0.18352913856506348,
-0.31846296787261963,
0.5100877285003662,
0.31160902976989746,
0.41005393862724304,
-1.2811963558197021,
0.21167728304862976,
0.41603362560272217,
0.03290804475545883,
0.3677598834037781,
0.4699716567993164,
0.24320174753665924,
-0.4535599946975708,
-0.905761957168579... |
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional information about the situation that might weaken or strengthen the hypothesis. A weakener is a statement that weakens the hypothesis, that is, it makes you much less likely to believe the hypothesis is true. A strengthener is a statement that strengthens the hypothesis, that is, it makes you much more likely to believe the hypothesis is true. Your task is to answer with 'strengthener' or 'weakener' if the update strengthens or weakens the hypothesis, respectively.
[Q]: Premise: A lady walks up the steps from a subway.
Hypothesis: The woman is walking home from the train.
Update: The sun is rising.
[A]: weakener
[Q]: Premise: A pipe with one hand on it.
Hypothesis: The pipe is broken.
Update: The pipe was as good as new.
[A]: weakener
[Q]: Premise: Two people with children exchange words.
Hypothesis: The children are friends.
Update: The children look angry
[A]: | weakener
| 5 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
-0.08365637063980103,
0.21678556501865387,
-0.5664122104644775,
0.25210875272750854,
0.08091074228286743,
-0.8314662575721741,
0.906921923160553,
1.4505280256271362,
0.185294046998024,
-0.36797067523002625,
-0.9445874691009521,
0.06433122605085373,
-0.42953914403915405,
-0.2311058640480041... |
Teacher:This task is about translating a given English language sentence to Yoruba language.
Teacher: Now, understand the problem? Solve this instance: Dates: September 6-8, 2019
Student: | Déètì: September 6 sí 8, 2019 | 6 | NIv2 | task1685_menyo20k_translation | zs_opt | [
0.2213534414768219,
0.6799894571304321,
0.47771155834198,
0.00688149593770504,
-0.37631601095199585,
-0.18862029910087585,
-0.7070304155349731,
0.2867335379123688,
0.4353908598423004,
-0.5700210332870483,
0.08115781098604202,
-0.15804028511047363,
-0.8426570892333984,
-0.22690775990486145,... |
In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
A lone gray wolf spent just 18 minutes feeding on a dead bull last month above Missoula's South Hills, but photos of its visit have extended the stay.
The pictures from an automatic field camera show a radio-collared, 100-pound male wolf approaching the bull with its tail between its legs. The short visit was likely due to a mountain lion having already claimed the carcass, according to Missoula rancher and book publisher John Rimel. ||||| Officials with the Flathead National Forest in Montana say a snowboarder been fined for harassing wildlife after a video of him chasing a moose was posted on Facebook.
Flathead National Forest spokesman Wade Muehlhof told the Missoulian newspaper that 21-year-old Charlie Rush was fined $225 for violating a federal regulation that prohibits molesting wildlife during the Dec. 19 downhill excursion.
"It’s one of the tools, especially with the video going viral, that law enforcement has to reinforce the educational message that people should not engage wildlife,” Muehlhof told the newspaper. “They should have kept their distance.”
The 52-second video, which was filmed and posted to Facebook by Rush's snowboarding companion, was forwarded to Flathead National Forest authorities by personnel at Whitefish Mountain Resort, according to the report.
The video shows Rush heading down the ski resort trail with the moose galloping in front of him. The Facebook video posting has been "liked" nearly 900 times, shared almost 400 times and drawn the attention of national media outlets.
Rush, who is reportedly considering contesting the citation, told CNN reporter Jeanne Moos that he loves moose and would never intentionally hurt an animal. "I never realized how big they were till I got that close to one," he said in a recent interview.
Muehlhof said the snowboarder is lucky that a citation is all that came from the experience.
"If moose feel threatened and go to protect themselves - a person can be seriously injured by them. At the end of the video, you notice that the moose stops and turns. That could have had a very bad outcome for the snowboarder," Muehlhof told MTN News.
"We're very happy that neither the moose nor the snowboarder were injured. It's very important to get the message out that if you encounter wildlife, please don't engage with the wildlife. Be patient; usually they'll move out of the way, or find a different way around," he added.
Click here for more from the Missoulian.
Click here for more from MTN News.
Click here for more from ABC Fox Montana. ||||| | A pair of Montana snowboarders made a name for themselves after chasing a moose down a mountain and filming the whole thing. After they posted the video to Facebook, it earned them national media coverage—and, for 21-year-old snowboarder Charlie Rush, a $225 fine, Fox News reports. The fine is for breaking a federal rule against harassing wild animals. "It’s one of the tools, especially with the video going viral, that law enforcement has to reinforce the educational message that people should not engage wildlife," a Flathead National Forest spokesman tells the Missoulian. Rush's companion, who filmed the event, defended the snowboarders' adventure. "The moose was in the middle of the run where it wasn’t supposed to be, and we were where we were supposed to be," he says on Facebook. "We were just trying to have fun, and the moose was not hurt at all in the process." It did, however, turn around to face them at the end of the video; apparently it ran into the forest afterward. | 0 | NIv2 | task1291_multi_news_summarization | zs_opt | [
0.5325186848640442,
0.1550999879837036,
-0.3407474756240845,
-0.3749752938747406,
0.21430033445358276,
-0.12921014428138733,
0.36746811866760254,
1.3491590023040771,
-0.5262573957443237,
-0.6666006445884705,
-0.14329911768436432,
-0.3494756519794464,
0.0862356647849083,
0.12968795001506805... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word '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. 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'. Actions and commands do not have quotations in the input and output.
Example Input: walk right twice after look left thrice
Example Output: I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK
Example Input: run opposite right thrice and run right
Example Output: I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN
Example Input: turn around left after run twice
Example Output: | I_RUN I_RUN I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT
| 3 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.3389616012573242,
0.5644164085388184,
-0.6052587032318115,
0.34860914945602417,
-0.12057994306087494,
-0.24675622582435608,
-0.05430879443883896,
0.3366457521915436,
-0.10136254876852036,
-0.03680802881717682,
-0.7482212781906128,
-0.04049030318856239,
-0.5883085131645203,
-0.24046391248... |
Teacher:In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Teacher: Now, understand the problem? Solve this instance: Context: Marvelous USA, Inc., formerly XSEED JKS, Inc. (doing business as XSEED Games), an American subsidiary of the Japanese Marvelous group, is a video game publishing, localization, and distribution company founded by former members of Square Enix USA. Their goal is to bring high-quality interactive entertainment to the North American market. They provide sales services for video games and related materials, as well as marketing support services mainly for Japanese corporations looking to market general consumer goods on the North American market., Half - Minute Hero ( Ysha Sanj , lit. `` Hero 30 '' ) is a hybrid real - time strategy / action RPG / shoot ' em up developed by Marvelous Entertainment . It was initially released as a PlayStation Portable exclusive in Japan on May 28 , 2009 , in North America on October 13 , 2009 and in Europe on February 19 , 2010 . It was re-released on the Xbox Live Arcade on June 29 , 2011 under the title Half - Minute Hero : Super Mega Neo Climax . A sequel , Ysha 30 Second , was released in Japan on August 4 , 2011 . It was localized by Marvelous USA and released on Steam on April 4 , 2014 as Half - Minute Hero : The Second Coming ., North America is a continent entirely within the Northern Hemisphere and almost all within the Western Hemisphere. It can also be considered a northern subcontinent of the Americas. It is bordered to the north by the Arctic Ocean, to the east by the Atlantic Ocean, to the west and south by the Pacific Ocean, and to the southeast by South America and the Caribbean Sea., Subject: half-minute hero, Relation: publisher, Options: (A) enix (B) marvelous (C) north america (D) the atlantic (E) xseed games
Student: | xseed games | 6 | NIv2 | task1296_wiki_hop_question_answering | zs_opt | [
0.004903426859527826,
-0.6414672136306763,
0.045303843915462494,
0.13615095615386963,
0.061283599585294724,
-0.16212376952171326,
0.9511423707008362,
0.8026530742645264,
-0.15622590482234955,
-0.013906924054026604,
0.6388818025588989,
0.4896431565284729,
-0.3326697051525116,
-0.76493823528... |
Detailed Instructions: In this task, you are given Wikipedia articles on a range of topics, we ask you to write a question based on the content of the articles that can be answered in a binary manner i.e. True or False.
See one example below:
Problem: Property tax -- Property tax or 'house tax' is a local tax on buildings, along with appurtenant land. It is and imposed on the Possessor (not the custodian of property as per 1978, 44th amendment of constitution). It resembles the US-type wealth tax and differs from the excise-type UK rate. The tax power is vested in the states and is delegated to local bodies, specifying the valuation method, rate band, and collection procedures. The tax base is the annual rental value (ARV) or area-based rating. Owner-occupied and other properties not producing rent are assessed on cost and then converted into ARV by applying a percentage of cost, usually four percent. Vacant land is generally exempt. Central government properties are exempt. Instead a 'service charge' is permissible under executive order. Properties of foreign missions also enjoy tax exemption without requiring reciprocity. The tax is usually accompanied by service taxes, e.g., water tax, drainage tax, conservancy (sanitation) tax, lighting tax, all using the same tax base. The rate structure is flat on rural (panchayat) properties, but in the urban (municipal) areas it is mildly progressive with about 80% of assessments falling in the first two brackets.
Solution: is house tax and property tax are same
Explanation: The question generated asks whether the house tax and property tax are the same and can be answered by reading the passage. Additionally, it has a binary answer and hence the generated question is correct.
Problem: Time in Spain -- Spain has borders with four countries: Portugal, France, Andorra, and Morocco; as well as with the British Overseas Territory of Gibraltar. Clocks must normally be set one hour earlier than in Spain after crossing the borders with Portugal and Morocco. However, because Morocco reverts to standard time approximately during the month of Ramadan, time in Morocco is two hours earlier than Spain during that time. Note that Ramadan rotates through the seasons roughly once every 33 years.
Solution: | are spain and portugal in the same time zone | 4 | NIv2 | task1660_super_glue_question_generation | fs_opt | [
0.2600429952144623,
0.5996818542480469,
-0.3256148099899292,
0.24229612946510315,
0.3571084141731262,
-0.3579564690589905,
1.0567173957824707,
1.3091363906860352,
-0.2111796885728836,
0.24336756765842438,
-0.6001918315887451,
0.9061022996902466,
-0.7990093231201172,
-0.14811548590660095,
... |
Teacher: In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimals in the output. Zero should be counted as an even integer.
Teacher: Now, understand the problem? If you are still confused, see the following example:
[5, 8, 9, 3, 7]
Solution: [22, 2.0, 38, 14, 30]
Reason: The odd numbers, 5, 9, 3, and 7 were multiplied by 4 then added 2. The even number eight was divided by 4.
Now, solve this instance: [-70, -94, 86, -50, -46, -95, 51, 10, -77]
Student: | [-17.5, -23.5, 21.5, -12.5, -11.5, -378, 206, 2.5, -306] | 2 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.3684151768684387,
0.35587015748023987,
-0.16666440665721893,
-0.3440920114517212,
0.29831790924072266,
-0.5072869062423706,
1.043088436126709,
0.572217583656311,
-0.24160632491111755,
0.2902284562587738,
-0.49741289019584656,
-0.3875761032104492,
-0.6618649959564209,
-0.3296915888786316... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
--------
Question: It is not hollow, it is round just as our world.
Answer: Nu este gol, este rotund la fel ca lumea noastră.
Question: Three children sitting in floor playing with several toys.
Answer: Trei copii care stau pe podea jucându-se cu câteva jucării.
Question: Your brain is already beginning to wind down as you see the end in sight.
Answer: | Creierul tău deja începe să se relaxeze pe măsură ce întrevezi sfârșitul.
| 7 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-0.6577969789505005,
1.2069671154022217,
0.30208057165145874,
-0.5845047235488892,
-0.49648517370224,
-0.5224021077156067,
1.0208356380462646,
0.058789655566215515,
0.6163332462310791,
-0.23772293329238892,
0.08768725395202637,
1.2260687351226807,
-0.7871379852294922,
0.000769330479670316,... |
Detailed Instructions: 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.
Problem:I needed to get a seat in her section before she came walking out into the dinning room.
Solution: | Original | 8 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.8148386478424072,
0.09544412791728973,
0.12110276520252228,
0.28232160210609436,
-0.1073371171951294,
-0.04066184163093567,
0.3233301639556885,
0.4797731339931488,
0.42329785227775574,
-0.13773766160011292,
-0.7085002660751343,
-0.6221718788146973,
-0.46855416893959045,
0.11420128494501... |
A text is given in English. Translate it from the English language to the Marathi language. The translation must not omit or add information to the original sentence.
Q: Commercial success and lack of creativity is whats stopping filmmakers to make movies for kids.
A: | व्यावसायिक यश आणि सृजनशीलतेचा अभाव या बाबींमुळे चित्रपट निर्माते बालकांसाठी चित्रपट बनविण्यासाठी फार उत्सुक नसतात. | 4 | NIv2 | task1085_pib_translation_english_marathi | zs_opt | [
-0.4610409140586853,
0.8081743121147156,
0.3540840446949005,
-0.12884077429771423,
-0.017673980444669724,
0.09473983943462372,
-0.12131837755441666,
0.7451531887054443,
-0.4024762809276581,
-0.4116719365119934,
-0.029109548777341843,
-0.15278130769729614,
-0.7701922655105591,
-0.3749578893... |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example: Review: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually funny! Maureen Stapleton is a scene stealer. The Moroni character is an absolute scream. Watch for Alan The Skipper Hale jr. as a police Sgt. Question: is it a positive review?
Example solution: yes
Example explanation: There is an expression of appreciation in this movie review, hence we can say it's positive. So generated label is 'yes'.
Problem: Review: I saw this movie on the Hallmark Channel and thought it was wonderful, especially since it was based on a true man. Pierce Brosnan was very good as the loner English man who took on the persona of the half breed Grey Owl. The photography was beautiful.This movie made me do more research into this character Archie Belaney known simple as Grey Owl. I want to read as much as I can about him. At the time I did not know Richard Attenborough had directed it. But I am not surprised. I like all his movies whether he is acting or directing. I gave it the highest rating. However, I would have liked to have seen more in the movie about WHY he took on this persona as it only showed the two aunts who raised him and his room in their house.You can't go wrong with this movie if you are like me and enjoy a beautiful story without hearing foul language and contrived special effects every few minutes. Question: is it a negative review?
| Solution: no | 5 | NIv2 | task285_imdb_answer_generation | fs_opt | [
-0.6459600925445557,
-0.04409047216176987,
-0.17126429080963135,
0.3138625919818878,
0.6101475954055786,
-0.6931360960006714,
0.8021107912063599,
0.7076607942581177,
-0.08446286618709564,
0.08987635374069214,
-0.39704498648643494,
-0.3026406466960907,
-0.5030419826507568,
-0.11717305332422... |
Teacher:A text is given in Urdu. Translate it from the Urdu language to the Marathi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: حکومت نے برقی گاڑیوں کے استعمال کو فروغ دینے کے لئے متعدد اقدامات کئے ہیں ،فی الحال ملک میں 3.
Student: | इलेक्ट्रीक वाहनांचा वापर वाढण्यासाठी सरकारकडून अनेक पावले, सध्या देशात 3. | 6 | NIv2 | task990_pib_translation_urdu_marathi | zs_opt | [
0.4509285092353821,
0.680836021900177,
0.1968720257282257,
-1.108964204788208,
-0.3116445541381836,
-0.20744484663009644,
0.8086233735084534,
0.8494155406951904,
-0.30720800161361694,
-0.3262377381324768,
-0.5862690210342407,
-0.13455535471439362,
-0.16785168647766113,
-0.42112526297569275... |
Detailed Instructions: In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Problem:Question: What was the amount of sales for the album? Passage:A Thorn for Every Heart was started in early 2003 by Joel Ryan Holt (guitar) and Aaron Peck (drums). The original line-up of Holt, Peck, Kelvin Cruz (lead vocals), Jeff Harber (guitar, keys, backing vocals), Justin Powell (bass), and Joy Welling (violin) independently released their debut EP, Silence Is Golden, in late 2003. The EP gained them internet exposure and created an underground following, leading to talks of a record deal with Interscope. Due to musical differences, Holt (guitar/band co-founder) and ATFEH parted ways, and long-time friend Phil Nguyen joined the band in Holt's place. In support of the EP, ATFEH embarked on their first nationwide tour in 2004, during which Welling (violin) parted ways with the band due to personal differences. The band never replaced the violinist or added any other full-time instruments to the group's sound. ATFEH recorded their first full-length album, Things Aren't So Beautiful Now, with producer Shawn Sullivan (Bleeding Through, Reel Big Fish) in the summer of 2004. The album, featuring five reworked songs from the EP and five new songs, was released on October 19, 2004, through Interscope's subsidiary, Kickball Records. After recording the album, Peck (drums/band co-founder) also parted ways with the band, leaving the permanent drummer position open for a year afterward.
Solution: | ATFEH recorded their first full-length album, Things Aren't So Beautiful Now, with producer Shawn Sullivan (Bleeding Through, Reel Big Fish) in the summer of 2004 | 8 | NIv2 | task234_iirc_passage_line_answer_generation | zs_opt | [
0.7638372182846069,
0.08576923608779907,
-0.3572878837585449,
0.4232933521270752,
0.1443347930908203,
-0.29872485995292664,
0.6479734182357788,
0.0040376512333750725,
-0.40317004919052124,
0.5841968655586243,
0.20002032816410065,
0.3488060235977173,
-0.8085384368896484,
-0.1644307374954223... |
Q: Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the third fact. An example of a chain is: "pesticides cause pollution" (given fact) + "pollution can harm animals" (related fact) → "pesticides can harm animals" (connected chain). Avoid creating simple paraphrases of the given fact. While your generated fact should be related to the input fact, they must describe slightly different scientific phenomena. It's okay if your related fact includes some irrelevant information, provided that it has some overlap with the given fact and it contains some words corresponding to the provided topic.
Fact: a light bulb requires electrical energy to produce light.
Topic: power plants produce electrical energy.
A: | Electricity or electrical energy, is produced at a power plant. | 7 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
-0.01031886413693428,
0.9776099920272827,
-0.49746406078338623,
-0.3317934572696686,
-0.5610102415084839,
-1.5608899593353271,
-0.06809569150209427,
1.036670446395874,
-0.21893011033535004,
0.034861449152231216,
-1.0690782070159912,
0.961576521396637,
-0.5356424450874329,
-0.01476794946938... |
In this task, you're given a passage, 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 passage 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 passage or linked information.
Q: Passage: This article lists those who were potential candidates for the Democratic nomination for Vice President of the United States in the 1992 election. Arkansas Governor Bill Clinton won the 1992 Democratic nomination for President of the United States, and chose Tennessee Senator Albert Gore, Jr. as his running mate on July 9, 1992. Clinton considered roughly forty different candidates for vice president, including those who did not hold elective office, but Clinton ultimately chose Gore, a two-term Senator who had previously run for president in 1988. Former Assistant Secretary of State Warren Christopher led Clinton's vice presidential selection team. In making the selection, Clinton emphasized Gore's experience with foreign policy and environmental issues. Clinton's choice of a fellow young southern centrist defied conventional wisdom, but the choice of Gore was well-received, and Gore made an effective surrogate on the campaign trail. The Clinton-Gore ticket ultimately defeated the Republican Bush-Quayle ticket and the independent Perot-Stockdale ticket, and the Clinton-Gore duo became the youngest ticket in history to win a presidential election.
Link Information: William Jefferson Clinton (born William Jefferson Blythe III; August 19, 1946) Answer: Bill Clinton
A: | Of the people on the 1992 Democratic party ticket, who was the oldest? | 4 | NIv2 | task236_iirc_question_from_passage_answer_generation | zs_opt | [
-0.5151028633117676,
-0.15592354536056519,
-0.5159309506416321,
0.6954371333122253,
-0.1097656786441803,
-0.9023052453994751,
0.4614124298095703,
0.5445111989974976,
-0.3328697979450226,
0.6000995635986328,
0.379881888628006,
0.557217538356781,
-0.609227180480957,
0.35550442337989807,
-1... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You 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.
Problem:Head: PersonX arrives at PersonY understanding<sep>Tail: agreeable
Solution: | No | 8 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.7372971773147583,
0.536899209022522,
0.3379836678504944,
-0.22745779156684875,
-0.4222443103790283,
-1.0284967422485352,
1.189607858657837,
0.018394317477941513,
-0.33028697967529297,
-0.5177727341651917,
-0.3913746476173401,
-0.5555093288421631,
-0.7662080526351929,
0.5303820967674255,
... |
A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
One example: আগামী কাল অর্থাৎ ১৬ জানুয়ারি রাজস্থানের বাঢ়মের জেলার পাচপাদরা’তে রাজস্থান তেল ও গ্যাস শোধনাগার প্রকল্পের সূচনা উপলক্ষে আয়োজিত এক অনুষ্ঠানে যোগ দেবেন প্রধানমন্ত্রী শ্রী নরেন্দ্র মোদী।
Solution is here: وزیر اعظم سری نریندر مودی نے 16 جنوری کو راجستھان تیل اور گیس ریفائنریز کے آغاز میں راجستھان تیل اور گیس ریفائنری کے منصوبے کے آغاز کے موقع پر منعقد ایک فنکشن میں شرکت کی.
Explanation: Correct translation for given sentence. Input sentence means 'Prime Minister Sri Narendra Modi will attend a function organized on the occasion of the beginning of Rajasthan oil and gas refinery project in the beginning of Rajasthan oil and gas refineries in January 16th.' which is the same as the output sentence.
Now, solve this: সংগ্রহালয় প্রসঙ্গে শ্রী নাইডু বলেছেন, এখানে জনপ্রিয় সিনেমা, চলচ্চিত্র অভিনেতাদের জীবন ও সঙ্গীত সম্পর্কে প্রদর্শিত বিষয়গুলি পরিদর্শকদের স্মৃতির অতলে নিয়ে যাবে।
Solution: | نئی دہلی،26اپریل،نائب صدر جمہوریہ ہند جناب ایم وینکیانائیڈو نے آج ممبئی میں نیشنل میوزیم آف انڈین سینما کا دورہ کیا اور کہا کہ اس میوزیم کی نمائش یہاں آنے والوں کو اپنی پسندیدہ فلموں، اداکاروں اور موسیقی کی یادوں کی وادیوں میں لے جائے گی۔ | 6 | NIv2 | task1069_pib_translation_bengali_urdu | fs_opt | [
-0.10465146601200104,
-0.07985622435808182,
-0.030999820679426193,
-0.2309667468070984,
-0.8663910627365112,
-0.37309545278549194,
0.652955174446106,
1.0896421670913696,
-0.040252186357975006,
0.10849127918481827,
-0.20460884273052216,
-0.3498384654521942,
0.18983140587806702,
0.0721762180... |
Instructions: You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Input: Sarah sang the anthem.
Output: | 1 | 3 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | zs_opt | [
0.20216470956802368,
1.2688143253326416,
-0.15091876685619354,
0.14211755990982056,
0.05466558784246445,
-0.7236772179603577,
0.21215887367725372,
0.8859831690788269,
-0.19898547232151031,
-0.25441306829452515,
-0.4054451584815979,
-0.7456492185592651,
-0.3993534445762634,
-1.4458351135253... |
Instructions: In this task, you need to count the occurrences of the given word in the given sentence.
Input: Sentence: 'a woman in front of a bakery counter looking at baked goods on display behind glass and a man in motion behind the counter and a woman from the back behind him with some cannisters on high shelves on wall'. Count the occurrences of the word 'a' in the given sentence.
Output: | 4 | 3 | NIv2 | task158_count_frequency_of_words | zs_opt | [
0.6747993230819702,
0.4072601795196533,
-0.9430767297744751,
-0.6093224287033081,
-0.13716521859169006,
0.7179332971572876,
-0.022129980847239494,
0.5582633018493652,
0.4591059684753418,
0.032845113426446915,
-0.39892733097076416,
-0.05467239022254944,
0.17303942143917084,
0.52798581123352... |
This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentioned in the passage
(ii) create questions which require information beyond what is provided in the passage in order to answer
(iii) replace an existing entity, number, date mentioned in the passage with other entity, number, date and use it in the question
(iv) create a question which is answerable from the passage and then replace one or two words by their antonyms or insert/remove negation words to make it unanswerable.
Q: Passage: Prior Diego saw immediately one of the paramount reasons for the spread of the unorthodox movement: the representatives of the Holy Church acted and moved with an offensive amount of pomp and ceremony. On the other hand, the Cathars lived in a state of self-sacrifice that was widely appealing. For these reasons, Prior Diego suggested that the papal legates begin to live a reformed apostolic life. The legates agreed to change if they could find a strong leader. The prior took up the challenge, and he and Dominic dedicated themselves to the conversion of the Albigensians. Despite this particular mission, in winning the Albigensians over by persuasion Dominic met limited success, "for though in his ten years of preaching a large number of converts were made, it has to be said that the results were not such as had been hoped for."
A: | Who did not immediately see one of the paramount reasons for the spread of the unorthodox movement? | 4 | NIv2 | task348_squad2.0_unanswerable_question_generation | zs_opt | [
0.4447510838508606,
0.8100772500038147,
-0.6798174381256104,
0.2965086102485657,
-0.3622179627418518,
-0.22572502493858337,
0.8056632280349731,
0.7710243463516235,
0.16394081711769104,
0.1812935471534729,
-0.4733998477458954,
0.2781484127044678,
-0.7583165168762207,
0.04609473794698715,
... |
In this task, we ask you to rewrite a sentence in simple English without changing its general meaning. Essentially, you want to make the sentence easier to read by using simpler words, utilizing more straightforward sentence structures, and omitting non-essential information etc.
Most research articles published in the journal include an " eLife digest " , a non-technical summary of the research findings aimed at a lay audience . | Most articles in the journal have an " eLife digest " . | 0 | NIv2 | task933_wiki_auto_style_transfer | zs_opt | [
-1.0774494409561157,
0.33415859937667847,
0.3325802683830261,
-0.1344199925661087,
0.5380588173866272,
-0.47425761818885803,
0.19246016442775726,
0.4389149844646454,
-0.05938330292701721,
0.2437877357006073,
-0.683890700340271,
-0.06829684227705002,
-0.487404465675354,
0.17943057417869568,... |
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Wouldn't that be terrific and won't it mean a lot more money for the city? | "" Não seria magnífico? "E não significaria muito mais dinheiro para a cidade?" | 0 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
-0.5602685213088989,
1.3036799430847168,
0.09658771753311157,
0.24095487594604492,
0.10341235995292664,
-0.6365658640861511,
-0.41562438011169434,
1.3763550519943237,
0.4424028694629669,
-0.6475949287414551,
-0.5392030477523804,
0.10398849099874496,
-0.7260125875473022,
-0.4619560241699219... |
Given the task definition and input, reply with output. Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Tweet: @anonymized_account @anonymized_account @anonymized_account A to już jest twoja żałosna nadinterpretacja😁😁😁 , Question: Is the tweet free of any cyberbullying (harmful) content?
| Yes | 5 | NIv2 | task839_cdt_classification | zs_opt | [
-1.3817474842071533,
1.363877773284912,
0.6067749857902527,
0.7264906764030457,
-0.6202879548072815,
-0.5175560712814331,
0.9400037527084351,
-0.5702968239784241,
0.3385121822357178,
-0.050455573946237564,
-0.12823373079299927,
0.06911101937294006,
-0.6957690119743347,
-0.28113043308258057... |
In this task you are given a premise and two alternatives in Indonesian. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
One example: Barang itu dikemas dalam bungkus gelembung.
(1)Barang itu rapuh.(2)Barang itu kecil.
Solution is here: 1
Explanation: The first alternative makes more sense because you put object is bubble wrap if they are delicate.
Now, solve this: Saya belikan ibuku hadiah.
(1)Saya membuatkannya kue.(2)Itu adalah hari ulang tahunnya.
Solution: | 2 | 6 | NIv2 | task1170_xcopa_commonsense_reasoning_id | fs_opt | [
-0.6662311553955078,
0.8766241073608398,
0.05257260054349899,
0.02353396639227867,
-0.5330190658569336,
0.23037409782409668,
0.5230123996734619,
-0.0639706552028656,
0.051818616688251495,
0.05931791663169861,
-1.1081594228744507,
0.15529972314834595,
-0.42859262228012085,
0.103914663195610... |
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Q: 5276 aggiunta 467 sottrazione 9966 sottrazione 2983 sottrazione 8446 aggiunta 1175 aggiunta 4024
A: | -10453 | 4 | NIv2 | task086_translated_symbol_arithmetic | zs_opt | [
-0.37768667936325073,
0.764019787311554,
-0.18594874441623688,
-0.16512584686279297,
-0.53960120677948,
-0.5894067883491516,
0.4477580785751343,
0.6400305032730103,
0.274191677570343,
-0.5484864711761475,
-1.0615029335021973,
-0.4539901316165924,
-0.36302122473716736,
0.6023392677307129,
... |
Q: In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
سازمان اطلاعات مرکزی، همچنین مشهور با سرواژه «سیا» یا با کوتهنوشت «سیآیاِی» یک سازمان اطلاعات برون مرزی غیرنظامی دولت فدرال ایالات متحده آمریکا وظیفهاش جمعآوری، تجزیه تحلیل و پردازش اطلاعات امنیت ملی عمدتاً با استفاده از اطلاعات گردآوری شده توسط افراد از سرتاسر جهان است. به عنوان یکی از اعضای اصلی جامعه اطلاعات آمریکا، سیا به اداره اطلاعات ملی پاسخگوست و در درجهٔ اول بر روی تأمین اطلاعات برای رئیسجمهور و کابینهاش متمرکز است. فعالیت سیا متمرکز بر حوزه برون مرزی است و بهطور محدودی به جمعآوری اطلاعات از داخل میپردازد. همچنین برخلاف افبیآی وظیفه اعمال قانون برعهده ندارد. با آنکه سیا تنها نهاد اطلاعاتی آمریکا نیست که مسئولیت گردآوری اطلاعات توسط اشخاص را برعهده دارد، مأموریت مدیریت ملی هماهنگسازی و رفع تعارض اطلاعات گردآوری شده توسط اشخاص در جامعه اطلاعاتی آمریکا با این سازمان است. سیا تنها سازمان اطلاعاتی آمریکا است که مجاز به عملیات مخفی برون مرزی از سوی رئیس جمهور ایالات متحده آمریکا است، مگر در مواردی که رئیسجمهور سازمان دیگری را مناسب تر تشخیص دهد.
Question: وزارت اطلاعات ایران چه وظیفه ای دارد؟
A: | False | 7 | NIv2 | task396_persianqa_classification | zs_opt | [
0.1416633129119873,
0.08111341297626495,
-0.1248708963394165,
0.3448740839958191,
-0.7067904472351074,
0.19999739527702332,
0.49590545892715454,
0.6054921746253967,
0.3238298296928406,
0.40778881311416626,
-0.7828386425971985,
0.3352581858634949,
-0.6049970388412476,
0.2446603775024414,
... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
See one example below:
Problem: Afinal de contas elas é que decidem, e decidiram mesmo.
Solution: אחרי הכל, הם החליטו, והם עשו,
Explanation: The Portugese sentence is correctly translated into Hebrew, because the meaning is preserved.
Problem: Em vez disso, encontrei jovens mulheres inteligentes e engraçadas, corajosas e generosas.
Solution: | במקום זה גיליתי צעירות פקחיות וכיפיות, ואמיצות ונדיבות. | 4 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
0.026961004361510277,
0.9450349807739258,
0.4468443989753723,
-0.03570357710123062,
-0.5139321088790894,
-0.6686735153198242,
0.8938342332839966,
0.03547051176428795,
0.7758432626724243,
-0.1967047154903412,
-0.7303754687309265,
0.3627672791481018,
-0.8018085956573486,
-0.02315312065184116... |
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
One example: [5797, 8817, '8297', 'b', 'U', 'b'], [5843, 8809, '8297', 'b', 'W', 'C']
Solution is here: 8297, b
Explanation: Here, '8297, b' is the longest common subsequence in both the input lists [5797, 8817, '8297', 'b', 'U', 'b'] and [5843, 8809, '8297', 'b', 'W', 'C'].
Now, solve this: [2289, 'S', 6827, 'a', 'b', 1847, 3653, 'f', 'J', 'i', 4419, 'g', 7765, 's', 'm', 'c', 'Z', 'U', 'B', '6151', '7811', '7321', 'M', 'J', '4405', 'y', 'F', 'L', 'A', 'U', 'p', 'v', 5517, 7173, 4355, 3949, 'G', 'w'], [5369, 'a', 7601, 103, 'w', 'K', 'i', 7227, 4179, 8105, 4099, 'v', 6725, 's', 'm', 'c', 'Z', 'U', 'B', '6151', '7811', '7321', 'M', 'J', '4405', 'y', 'P', 'I', 'v', 'A', 6441]
Solution: | s, m, c, Z, U, B, 6151, 7811, 7321, M, J, 4405, y | 6 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | fs_opt | [
-0.3131294250488281,
0.242001473903656,
-0.4012136459350586,
-0.5505584478378296,
-0.14640767872333527,
-0.3910955786705017,
-0.08929991722106934,
0.8753615021705627,
-0.3088691234588623,
0.1582726538181305,
-0.9331657886505127,
0.2651849389076233,
0.307279497385025,
0.1872778683900833,
... |
Detailed Instructions: In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate female and male, respectively.
Q: F: How do you usually go to work? By bus or by underground? ,M: Neither, I usually walk to the company. But today I took a taxi here because I got up late.
(A) F: You go to work by taxi today. (B) F: You usually go to work by bus. (C) F: I am sorry. You spoke so rapidly that I did not catch the meaning of what you said. Could you repeat that? (D) F: You walk to the company today.
A: | A | 9 | NIv2 | task611_mutual_multi_turn_dialogue | zs_opt | [
-0.05503012239933014,
0.27438732981681824,
0.10869567096233368,
-0.12606042623519897,
0.26996341347694397,
0.29029953479766846,
0.06977730244398117,
0.6150408983230591,
0.7777465581893921,
0.19136297702789307,
-0.62589430809021,
-0.08965758979320526,
0.8176265358924866,
-0.4998749494552612... |
In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
Q: [-30, 99, 50, 67]
A: 17
****
Q: [-62, -48, -63, 29, -98, -31]
A: 1
****
Q: [45, -60, 0, 5, -16, -84, -2, 28]
A: | 2
****
| 4 | NIv2 | task1445_closest_integers | fs_opt | [
-0.23872977495193481,
0.4310987591743469,
0.024281691759824753,
-0.5603758096694946,
-0.01342015340924263,
-0.2847537696361542,
1.084660530090332,
0.3398347496986389,
0.3739830553531647,
-0.024511881172657013,
-0.34011128544807434,
-0.23324891924858093,
-0.6837153434753418,
0.0869000181555... |
Detailed Instructions: In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words are in [] and have been separated with a comma. The sentence can contain words that have case, punctuation, stem-based, intra-word, and digit punctuation errors that need to be corrected. For example, the text should be uppercased/lowercased as per necessity (like the beginning of a sentence, proper nouns, etc.), and digits need to be normalized (6 as six and so on). Note that you don't need to normalize the years. You don't need to fully edit the sentences, if end of the input stream contains sentence fragments, keep them as is.
Problem:['what', 'I', 'want', 'to', 'do', 'in', 'this', 'video', 'is', 'give', 'ourselves', 'a', 'framework', 'for', 'thinking', 'about', 'the', 'rent', 'versus', 'buy', 'decision', 'for', 'a', 'home', 'and', 'the', 'key', 'takeaway', 'I', 'hope', 'you', 'have', 'after', 'this', 'video', 'is', "there's", 'not', 'just', 'a', 'simple', 'right', 'answer', 'that', "it's", 'always', 'better', 'to', 'rent', 'or', 'that', "it's", 'always', 'better', 'to', 'buy', 'for', 'full', 'disclosure', 'I', 'own', 'a', 'house', 'and', 'I', 'bought', 'it', 'for', 'a', 'whole', 'series', 'of', 'reasons', 'some', 'of', 'them', 'emotional', 'some', 'of', 'them', 'potentially', 'economic', 'but', "there's", 'and', 'but', 'it', 'depends', 'on', 'your', 'personal', 'context', 'where', 'you', 'are', 'in', 'your', 'life', 'and', 'what']
Solution: | ['what', 'I', 'want', 'to', 'do', 'in', 'this', 'video', 'is', 'give', 'ourselves', 'a', 'framework', 'for', 'thinking', 'about', 'the', 'rent', 'versus', 'buy', 'decision', 'for', 'a', 'home', 'and', 'the', 'key', 'takeaway', 'I', 'hope', 'you', 'have', 'after', 'this', 'video', 'is', "there's", 'not', 'just', 'a', 'simple', 'right', 'answer,', 'that', "it's", 'always', 'better', 'to', 'rent', 'or', 'that', "it's", 'always', 'better', 'to', 'buy.', 'For', 'full', 'disclosure,', 'I', 'own', 'a', 'house', 'and', 'I', 'bought', 'it', 'for', 'a', 'whole', 'series', 'of', 'reasons,', 'some', 'of', 'them', 'emotional,', 'some', 'of', 'them', 'potentially', 'economic', 'but', "there's", 'and', 'but', 'it', 'depends', 'on', 'your', 'personal', 'context,', 'where', 'you', 'are', 'in', 'your', 'life,', 'and', 'what'] | 8 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | zs_opt | [
0.4389079809188843,
0.18166926503181458,
-0.0003320034593343735,
-0.06478067487478256,
0.45690539479255676,
-0.5424891114234924,
0.04794016852974892,
1.1795605421066284,
-0.5206862688064575,
0.08335035294294357,
0.09788718074560165,
-0.053135111927986145,
-0.6515737175941467,
-0.5254802703... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Input: Consider Input: 誰もが答えを知っている
Output: Tutti conoscevano la risposta.
Input: Consider Input: 今では自分の農場の活動すべてを管理することができます」と言いました
Output: Ora può svolgere tutte le attività della sua fattoria.
Input: Consider Input: 森林破壊は気候変動の２番目の要因です
| Output: È il secondo principale fattore al cambiamento climatico.
| 2 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
-0.06223166361451149,
0.46815013885498047,
-0.5410245656967163,
0.07579432427883148,
-0.4221426248550415,
-1.5529999732971191,
0.005875841714441776,
0.5786662101745605,
0.3569568991661072,
-0.692790687084198,
-0.8643923997879028,
0.673202633857727,
-0.3093187212944031,
0.22318077087402344,... |
Part 1. Definition
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Part 2. Example
Verify if the sentiment of the following document towards the entity Bill Clinton is Positive . Bill Clinton knows how to win friends and influence people. The former president is a master of reinvention — and the same talents that guided him into office have propelled him, more recently, into the stratosphere of Internet stardom.
Answer: yes
Explanation: Here the author of the document praises Bill for this ability to win friends. Hence the sentiment should be Positive and the answer is yes.
Part 3. Exercise
Verify if the sentiment of the following document towards the entity Timothy Carpenter is Positive . The court will hear arguments in an appeal by federal prison inmate Timothy Carpenter . He is serving a 116-year sentence after a jury convicted him of armed robberies in the Detroit area and northwestern Ohio.
Investigators helped build their case by matching Carpenter 's use of his smartphone to cell towers near Radio Shack and T-Mobile stores that had been robbed. The question is whether prosecutors should have been required to convince a judge that they had good reason or probable cause to believe Carpenter was involved in the crime. That's the standard set out in the Constitution's Fourth Amendment which also prohibits unreasonable searches. Prosecutors obtained the records by meeting a lower standard of proof.
The American Civil Liberties Union representing Carpenter said in court papers that the records "make it possible to reconstruct in detail everywhere an individual has traveled over hours days weeks or months."
In Carpenter 's case authorities obtained cellphone records for 127 days and could determine when he slept at home and where he attended church on Sunday said the ACLU's Nathan Freed Wessler.
Answer: | no | 7 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
-0.3992323875427246,
0.46208077669143677,
0.3045060634613037,
0.03094620443880558,
0.48767709732055664,
-0.7059667110443115,
0.23763355612754822,
0.18279403448104858,
-0.1554815173149109,
0.5266577005386353,
-0.20976784825325012,
0.4393784999847412,
-0.4644126296043396,
-0.6635580062866211... |
You will be given a definition of a task first, then some input of the task.
Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish.
Text: 'Le consulto horarios de sevilla a madrid el lunes , día 29 de marzo de 2004 entre las 6 y 30 y las 7 y 30 de la mañana .'
Output: | Spanish | 1 | NIv2 | task896_miam_language_classification | zs_opt | [
-0.31284481287002563,
0.8348878026008606,
0.4375867545604706,
-0.008832710795104504,
0.13378146290779114,
0.2572348117828369,
-0.1241062581539154,
0.23031139373779297,
0.27107471227645874,
-0.46452856063842773,
0.10964737832546234,
0.19681674242019653,
0.4148319661617279,
-0.28769427537918... |
Teacher:In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Teacher: Now, understand the problem? Solve this instance: 5860 sottrazione 1390 aggiunta 4683
Student: | 9153 | 6 | NIv2 | task086_translated_symbol_arithmetic | zs_opt | [
0.2624877691268921,
0.5342241525650024,
-0.06075524166226387,
-0.4203944802284241,
-0.44723057746887207,
0.04745439440011978,
0.5055387616157532,
0.6951342821121216,
0.24340777099132538,
-0.43686139583587646,
-0.6107313632965088,
-0.8670831918716431,
-0.4856724739074707,
0.4206589162349701... |
Teacher: In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? If you are still confused, see the following example:
Italy have defeated Portugal 31-5 in Pool C of the 2007 Rugby World Cup at Parc des Princes, Paris, France.
Solution: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Reason: This is a correct and accurate translation from English to Japanese because translated text is just paraphrased of English sentence. Also, it preserves the numbers as it is.
Now, solve this instance: Ferrari driver Fernando Alonso was among those expressing his support, dedicating his pole postion in Saturday's qualifying to De Villota.
Student: | フェラーリのドライバー、フェルナンド・アロンソは、支持を表明した者の一人で、土曜日の予選でのポールポジションをデ・ビロタに捧げた。 | 2 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
-0.10298158973455429,
0.4188331067562103,
0.025224238634109497,
0.1444186419248581,
-0.02213345468044281,
-0.43330448865890503,
0.361714631319046,
0.52202308177948,
0.1563086211681366,
-0.6434258818626404,
-0.4214814305305481,
0.35617998242378235,
-0.23903010785579681,
0.3222639560699463,
... |
Given the task definition and input, reply with output. 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.
I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN
| run around left after jump right twice | 5 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.07725397497415543,
0.8345404863357544,
-0.36952346563339233,
0.069427989423275,
-0.21227067708969116,
0.3708750009536743,
0.2021605372428894,
0.3941894769668579,
-0.3013048768043518,
-0.26315099000930786,
-0.9486159086227417,
-0.3607856035232544,
-0.6098051071166992,
-0.00228265812620520... |
Teacher:You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: この準備が進む傍ら僕が協力を要請した ― 警察は待機していましたそして毒薬ができあがり子どもに飲ます直前僕は警察に電話をし幸運にも警察が突入彼らを逮捕しました
Student: | W tym czasie zawiadomiona przeze mnie policja, była już w stanie gotowości, i jak tylko mikstura była gotowa, i jak tylko mikstura była gotowa, zadzwoniłem po nich. Aresztowanie się udało. | 6 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
0.3436102271080017,
0.6222323179244995,
-0.061973825097084045,
-0.6985446214675903,
-0.3044775426387787,
-0.8032104969024658,
0.32069456577301025,
-0.1925109326839447,
0.19700941443443298,
-0.3308587372303009,
-0.3869791030883789,
0.11846445500850677,
-0.4605509638786316,
-0.14137144386768... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Example Input: אף פעם. הוא תמיד, אבל תמיד, התיחס לכל אחד מאיתנו באופן שווה בצורה בלתי נסבלת בכיתה.
Example Output: 絶対にです。いつもクラスの1人1人を耐えられないくらい平等に扱ってくれました
Example Input: מי שמבין קצת באנטומיה יודע שזה לא מקום טוב להיחתך בו, כולל כל מה שנמצא בדרך אליו למעלה, ואז - ידי היו עדיין מורמות - הוא משך את הסכין וכיוון לצוואר שלי, ותקע אותו בצוואר שלי עד לידית, הצלחתי גם להחטיף ימנית ישירה אחת ולהשכיב בנוק-אאוט את זה שבאמצע.
Example Output: もし解剖学を知っていればご存知でしょうがあまり切られていい場所ではありませんもちろん上へと切り込まれましたそしてー私はまだ両拳を上げた状態でしたが男はナイフを抜き今度は首に向かってきましたそして首にざっくりとナイフで切りこみました私は右ストレートのパンチを繰り出し真ん中にいた男をノックダウンしました
Example Input: והיא אמרה, "" ובכן, התחתנת איתי. "" הוא אמר, "" הו, זו האמונה התרבותית שלי. "" ואז הם נכנסו לדיון שלם שבו היא אמרה לו, "על גופתי המתה אתה תעשה את זה לבנות שלי."
Example Output: | 彼女が「私と結婚したじゃない」と言うと彼は「でもこれは僕の文化的思想だから」と言ったそうです彼らはしっかり議論をして彼女は夫に「娘たちを連れて行くなら私を殺してからにしなさい」と言ったそうです
| 3 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
0.5431305766105652,
-0.5598971843719482,
-0.06372226029634476,
0.16101111471652985,
0.9023054242134094,
-0.7039023637771606,
1.1326236724853516,
0.639464259147644,
0.6283359527587891,
-0.0437016561627388,
-0.4255675971508026,
1.0297092199325562,
-0.32918882369995117,
0.25969672203063965,
... |
Instructions: In this task, you are given music product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: Hmm was soll das! . Also ich habe alle Albums von den ''Fantastischen Vier'' Aber ich muss sagen ich habe noch nie so ein schlechte CD gekauft und gehört! Ich bin ja nicht gerade ein Grosser HipHop Fan aber bis anhin hörte ich die Fantastischen Vier gerne. Aber in diese Album gefällt mir parktisch kein Song aussert vielleicht noch ''Troy''! Man merktes diese Album hat keine Spiel freude ist einfach nur ein gelapper, Sprich nach dem Motto ''Wenn mal berühmt ist kann man alles Verkaufen ob es nun gut tönt oder nicht.'' Tja aber für mich das schlechteste Album von allen Fantastischen Vier Album's. Also ''Viel'' ist da nicht dran wo man freude haben könnte, aussert vielleicht die originelle Verpackung hat abgerundete Ecken aber das ist wirklich das einzige wo daran interesant ist.Auch die Fantastischen Vier haben für mich denn Löffel abgeben was Musik angeht.Dieses Album ist für Leute die gerne Experimentalen Sound haben und nicht besonderes auf die den guten ''alten zeiten von den guten Fantastischen Vier zeiten. Leider sniff kann nur hoffen das es nur noch besser kommt!!! Hier noch mein persönlicher Album Tip von den Fantastischen Vier: Die Fantastischen Vier - 4:99 (für mich bestes Album!!)
Output: | NEG | 3 | NIv2 | task481_cls_german_music_classification | zs_opt | [
-0.3479214310646057,
0.5069230794906616,
-0.8863240480422974,
0.3752484917640686,
-0.23487488925457,
0.124228835105896,
1.5858784914016724,
0.4384387135505676,
0.38972169160842896,
0.4075964391231537,
-0.6024811267852783,
0.054965078830718994,
-0.15918336808681488,
-0.540391206741333,
1.... |
You will be given a definition of a task first, then some input of the task.
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'Text one' if the first sentence is simpler. Otherwise output 'Text two'.
Text one: Today, flow is lowered due to 70-90% of water being used for human reasons.
Text two: Today, flow is lowered due to 70-90% of water being used for human reasons.
Output: | Text one | 1 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-1.1905567646026611,
0.5920349359512329,
0.20871181786060333,
-0.4947986304759979,
0.24476462602615356,
-0.737740159034729,
0.3102414011955261,
0.7998521327972412,
0.21017268300056458,
0.3051842153072357,
-0.3501887321472168,
-0.4330328702926636,
-0.3390694856643677,
0.020917877554893494,
... |
This task is to translate a news commentary given in Italian language into Zhuang language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
--------
Question: Gli autori, Katie Farrant e Magda Rutkowska, suggeriscono che il comportamento delle aziende potrebbe essere stato modificato a seguito della crisi finanziaria, dal momento che le difficoltà di accesso al finanziamento bancario le ha portate ad aumentare le loro riserve di liquidità in modo permanente. Se fosse vero, ciò avrebbe importanti implicazioni per il sistema finanziario, e in particolare per le banche.
Answer: 7月份发布的另一篇帖子矛头直指英格兰银行的“官方”观点——随着经济的复苏，我们可以预期非金融公司开始削减现金余额，出资投资。该帖子的作者凯迪·法兰特（Katie Farrant）和玛格达·鲁特科夫斯卡（Magda Rutkowska）认为，公司行为可能因为金融危机而已经发生了改变，难以获得银行融资导致他们永久性增加想现金缓冲。果真如此的话，这将对金融体系特别是银行形成重大影响。
Question: Ma il governo britannico potrebbe porre il veto -e senza dubbio lo farà- a qualsiasi adeguamento delle responsabilità della Banca d’Inghilterra riguardo alle politiche monetarie, alla stabilità finanziaria e alla supervisione delle banche. Qualsiasi altro modello concepibile di unione monetaria- incluso quello basato su una banca centrale con un livello di indipendenza simile a quello della Banca Centrale Europea- sarebbe soggetto allo stesso rifiuto.
Answer: 但英国政府可以——也必定会——否决如此改变英格兰银行的货币政策、金融稳定和银行监督责任。其他任何想得到的货币联盟模式——包括基于如欧洲央行那样的不可问责的中央银行的模式——也将遭到拒绝。正如记者沃尔夫（Martin Wolf）最近所指出的，“要建立自己的货币肯定会让英国其他部分想起对欧元区的恐慌”。
Question: Le spiegazioni potrebbero essere due: la prima è che forse è cresciuta la percentuale di entrate relative alle banche europee, detenuta dall’Asia; la seconda è che questa percentuale, però, non sarebbe stata controbilanciata da una diminuzione della fetta di guadagni provenienti dagli Usa. E, mentre tale scenario riflette cambiamenti di relativa importanza, il volume di affari delle banche europee potrebbe essere cresciuto in termini assoluti anche negli Usa, sebbene con un passo più lento rispetto ad altri paesi.
Answer: | 有趣的是，大多数欧洲大银行的主要投资目标是其他欧洲市场，而不是世界其他地区，这使得欧洲市场对总营收额的贡献达到了近30%，而十年前这一数字为20%。造成这一现象的原因有二。一方面，亚洲在欧洲银行营收额中所占的比重可能在上升，但被来自美国的收入的下降抵消了。这一现象反映了相对重要性的变化，但欧洲银行美国业务量的绝对值仍然是上升的，只是幅度必其他地区低。
| 7 | NIv2 | task1376_newscomm_translation | fs_opt | [
0.4862574338912964,
0.19152024388313293,
-0.16043275594711304,
-0.014498348347842693,
0.4173504114151001,
-0.3841019868850708,
0.598318338394165,
0.7216325998306274,
-0.19964005053043365,
-0.19470073282718658,
-0.05120909959077835,
0.19273678958415985,
-0.7922883033752441,
0.01778196915984... |
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Abstract: Maintenance of normal endothelial function is critical to various aspects of blood vessel function, but its regulation is poorly understood. In this study, we show that disruption of baseline fibroblast growth factor (FGF) signaling to the endothelium leads to a dramatic reduction in let-7 miRNA levels that, in turn, increases expression of transforming growth factor (TGF)-β ligands and receptors and activation of TGF-β signaling, leading to endothelial-to-mesenchymal transition (Endo-MT). We also find that Endo-MT is an important driver of neointima formation in a murine transplant arteriopathy model and in rejection of human transplant lesions. The decline in endothelial FGF signaling input is due to the appearance of an FGF resistance state that is characterized by inflammation-dependent reduction in expression and activation of key components of the FGF signaling cascade. These results establish FGF signaling as a critical factor in maintenance of endothelial homeostasis and point to an unexpected role of Endo-MT in vascular pathology.. Title: Phagocytosis and deposition of vascular beta-amyloid in rat brains injected with Alzheimer beta-amyloid.
no
Abstract: AIM To develop a reliable method for whole genome analysis of DNA methylation. MATERIALS & METHODS Genome-scale analysis of DNA methylation includes affinity-based approaches such as enrichment using methyl-CpG-binding proteins. One of these methods, the methylated-CpG island recovery assay (MIRA), is based on the high affinity of the MBD2b-MBD3L1 complex for CpG-methylated DNA. Here we provide a detailed description of MIRA and combine it with next generation sequencing platforms (MIRA-seq).
RESULTS We assessed the performance of MIRA-seq and compared the data with whole genome bisulfite sequencing.
CONCLUSION MIRA-seq is a reliable, genome-scale DNA methylation analysis platform for scoring DNA methylation differences at CpG-rich genomic regions. The method is not limited by primer or probe design and is cost effective.. Title: Controlling nuclear receptors: the circular logic of cofactor cycles
no
Abstract: Epigenetic genome modifications are thought to be important for specifying the lineage and developmental stage of cells within a multicellular organism. Here, we show that the epigenetic profile of pluripotent embryonic stem cells (ES) is distinct from that of embryonic carcinoma cells, haematopoietic stem cells (HSC) and their differentiated progeny. Silent, lineage-specific genes replicated earlier in pluripotent cells than in tissue-specific stem cells or differentiated cells and had unexpectedly high levels of acetylated H3K9 and methylated H3K4. Unusually, in ES cells these markers of open chromatin were also combined with H3K27 trimethylation at some non-expressed genes. Thus, pluripotency of ES cells is characterized by a specific epigenetic profile where lineage-specific genes may be accessible but, if so, carry repressive H3K27 trimethylation modifications. H3K27 methylation is functionally important for preventing expression of these genes in ES cells as premature expression occurs in embryonic ectoderm development (Eed)-deficient ES cells. Our data suggest that lineage-specific genes are primed for expression in ES cells but are held in check by opposing chromatin modifications.. Title: Chromatin signatures of pluripotent cell lines.
| yes
| 0 | NIv2 | task1587_scifact_classification | fs_opt | [
0.06149230897426605,
0.02641145884990692,
-0.18655946850776672,
-0.1928955614566803,
0.4238150119781494,
-0.9604379534721375,
0.8882138729095459,
0.7422815561294556,
-0.10275909304618835,
0.4965152144432068,
-0.2480335384607315,
0.28433454036712646,
-0.48902857303619385,
0.2475087642669677... |
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. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
Long the domain of web sites and memes, the animated gif may soon be coming to a message near you. A new app makes creating the images simple on a smartphone - and lets you send them using Facebook Messenger. Camoji is one of the first apps to take advantage of Facebook's decision to open up Messenger, revealed at its recent f8 conference in San Francisco. Camoji allows people to add Instagram style filters to their images before sharing them. The GIFs are created in the Camoji app. Once downloaded, users simply tap on the shutter icon to record an animated gif that is up to 2 seconds long.One of first apps to take advantage of Facebook's new open approachAllows users to send and record gifs inside Messenger appInstagram style filters can be added to gif images
Question:'Facebook used to be this single blue app and it did a lot of different things, now _ is a family of apps,' he said.
Output: | Facebook | 1 | NIv2 | task339_record_answer_generation | zs_opt | [
-0.5025685429573059,
-0.44893765449523926,
-0.44731009006500244,
-0.6498048305511475,
-0.06950362026691437,
-0.28114232420921326,
0.25876444578170776,
0.6743885278701782,
-0.08036200702190399,
0.10188477486371994,
-0.5721555352210999,
-0.00536727998405695,
0.23750346899032593,
0.5448066592... |
Instructions: Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Japanese: 「最高権力者が自殺を問題視しない限り、我々の共同の努力は何の結果も生み出さない可能性が高い」モスクワのセルブスキー心理学センターのボリス・ポロジー氏は昨日言った。
Thai: การกระทำของ Tom กำลังทำร้ายพรรค Republican ทำร้ายสมาชิกพรรค Repulican ส่วนใหญ่ และทำร้ายสมาชิกพรรค Republican ผู้ใดก็ตามที่กำลังวางแผนที่จะลงสมัครเลือกตั้งอีกครั้ง Rep. Christopher Shays, R-Conn บอกกับสื่อ Associated Press หลังแสดงความคิดเห็นคล้าย ๆ กันที่การประชุมภายในชุมชนในเขตของเขาเมื่อสัปดาห์ที่ผ่านมา
Output: | No | 3 | NIv2 | task1129_alt_ja_th_answer_generation | zs_opt | [
-0.44269973039627075,
-0.11435645818710327,
0.4441909193992615,
0.16681039333343506,
0.1194620206952095,
-0.7590641975402832,
0.5775626301765442,
0.31025615334510803,
-0.19025343656539917,
0.10722385346889496,
-0.3010205626487732,
0.43248364329338074,
0.04978279396891594,
0.322945594787597... |
You will be given a definition of a task first, then some input of the task.
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.
[[-46, -46], [-32, -30, 17], [10, 12, -40, -44]]
Output: | [2116, 16320, 211200] | 1 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
-0.26619452238082886,
0.1417309045791626,
-0.9191868305206299,
0.1270793378353119,
0.09214629232883453,
0.37476399540901184,
1.1242260932922363,
0.07841026782989502,
-0.00758696673437953,
-0.05474650114774704,
-0.8094104528427124,
-0.01035927515476942,
-0.36541301012039185,
-0.235369428992... |
Given the task definition and input, reply with output. In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
['255', 'a']
| a | 5 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.59309321641922,
0.7369158267974854,
0.1270424723625183,
-0.04988929629325867,
0.4187734127044678,
0.2578452229499817,
1.163339376449585,
0.30156394839286804,
-0.004091433249413967,
-0.23737338185310364,
-0.4964399039745331,
-0.0905463695526123,
-0.0686124637722969,
-0.440552681684494,
... |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
عمد تاً می بایست از رسانه های جمعی در این باره انتقاد کرد. عمد تاً می بایست از رسانه های جمعی در این باره انتقاد کرد.
| In gran parte sono i media a dover essere condannati per questo genere di cose. | 5 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-1.428305983543396,
1.0580003261566162,
0.1635594516992569,
0.2474202811717987,
-0.7514875531196594,
0.41906893253326416,
0.49516215920448303,
0.7240841388702393,
-0.12498873472213745,
-0.6323308944702148,
-0.8432267904281616,
0.5959145426750183,
-0.13787800073623657,
0.5011208057403564,
... |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct subject of discussion or return "False" if it's incorrect.
Statement: Of the 10,000 Rhode Island children in charter school lotteries for the fall, more than 70 percent are poor .... In addition, a majority of them are students of color.
Subject: children,diversity,education
True
Statement: When Georgia tightened its voter identification laws, the state sent a van and photographer to the homes of people who needed photo IDs and made them for free.
Subject: elections
False
Statement: The State of Rhode Island has the worst state-funded pension in the country.
Subject: deficit,pensions,state-budget,state-finances
| True
| 0 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.1213364526629448,
0.519485354423523,
-0.08221540600061417,
-0.4417043924331665,
-0.48452961444854736,
-0.13321250677108765,
0.8292487859725952,
0.6614576578140259,
-0.1376875340938568,
-0.30242249369621277,
-0.5020849704742432,
-0.14088860154151917,
-0.529279351234436,
0.266198962926864... |
In this task, you are given one English sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into Swedish.
Blood-borne virus such as
HIV infection
,
hepatitis B
and
hepatitis C
could be sexually transmitted. | Bloodburna virus som
HIV-infektion
,
hepatit B
och
hepatit C
kan överföras sexuellt. | 0 | NIv2 | task1395_europa_ecdc_tm_en_sv_translation | zs_opt | [
-0.24813182651996613,
0.5124277472496033,
-0.3187379837036133,
-0.028829865157604218,
0.049717675894498825,
-0.37450242042541504,
0.24129775166511536,
0.33316946029663086,
0.3940011262893677,
-0.5226414203643799,
-0.15505388379096985,
0.5483224987983704,
-0.3792499899864197,
-0.30874481797... |
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 -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'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,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'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,
'PRT': 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,
'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.
One example is below.
Q: Sentence: David A. DiLoreto , president of metal container division , was named *-1 to the additional post of group vice president , packaging products , at this packaging {{ , }} industrial and aerospace products concern , *-1 succeeding Delmont A. Davis , who *T*-3 was named *-2 president and chief operating officer in August .
Word: ,
A: .
Rationale: ',' is assigned the period (.) symbol since it denotes a punctuation.
Q: Sentence: Program trading itself , according to many academics who *T*-64 have studied it , is merely caught *-1 in the middle of this battle , *-1 unfairly labeled *-2 as the evil driving force {{ of }} the marketplace .
Word: of
A: | ADP | 9 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.3531947433948517,
0.18422845005989075,
-0.029949385672807693,
0.00269249826669693,
-0.015865547582507133,
-0.5092818737030029,
0.6017920970916748,
0.6267286539077759,
-0.5227863788604736,
0.0012304390547797084,
-0.7063597440719604,
0.04146554693579674,
-0.5672528743743896,
0.437989026308... |
Given a sentence in Russian, generate a new Russian 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]: Вы можете использовать базу данных, чтобы добраться до места назначения.
[A]: Вы можете связать портал с пунктом назначения.
[Q]: Искушение пойти на работу - это чувствовать себя живым и хотеть кофе.
[A]: Воздействие холода на работу вызывает нетерпение и желание выпить кофе.
[Q]: Вы можете найти кандидатов на повышение по службе.
[A]: | Ты следующий, кто найдет кроликов в ульях.
| 5 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | fs_opt | [
0.24800726771354675,
0.24508190155029297,
-0.02035708539187908,
-0.3627317547798157,
-0.4450341761112213,
-0.44265198707580566,
0.7176727652549744,
1.324211835861206,
0.1584315150976181,
-0.33237627148628235,
-0.7225600481033325,
-0.4326275587081909,
-0.2557646930217743,
0.6057097315788269... |
Detailed Instructions: In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Problem:It's been a strong thought in my mind.
Solution: | Have you considered freelancing? | 8 | NIv2 | task568_circa_question_generation | zs_opt | [
-0.04043075442314148,
1.010920524597168,
0.1856156885623932,
0.019867561757564545,
0.18487484753131866,
-2.187833786010742,
0.28088200092315674,
0.6237190365791321,
0.32629889249801636,
-0.13879750669002533,
-0.18012049794197083,
-0.3809660077095032,
-1.7593157291412354,
-0.039795644581317... |
TASK DEFINITION: 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
PROBLEM: Event:PersonX builds PersonX's houses. Intent: 1) to be respectful 2) to be loved. XEmotion: 1) happy 2) loved
SOLUTION: happy to have a home
PROBLEM: Event:PersonX takes ___ of the children. Intent: 1) to have the first one.. XEmotion: 1) elated.
SOLUTION: thankful
PROBLEM: Event:PersonX rushes toward PersonY. Intent: 1) to be free. XEmotion: 1) satisfied
SOLUTION: | excited
| 8 | NIv2 | task924_event2mind_word_generation | fs_opt | [
0.44294023513793945,
0.03757910802960396,
0.04786330461502075,
-0.4031704366207123,
-0.45033660531044006,
-0.4404866695404053,
1.5671838521957397,
0.42748862504959106,
-0.10159569978713989,
-0.23768341541290283,
0.3015754222869873,
-0.06140570342540741,
-0.9139695763587952,
0.1807074546813... |
In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
One example is below.
Q: Who were the builders of the mosque in Herat with fire temples ?
, Word: Who
, POS tag: IN
A: False
Rationale: This is a good example. POS tag of who should be WP(Wh-pronoun), and not IN(Preposition).
Q: What is the year of birth of the 1978 winner of Mr. Europa ?
, Word: of
, POS tag: IN
A: | True | 9 | NIv2 | task346_hybridqa_classification | fs_opt | [
0.16392765939235687,
0.2806442379951477,
-0.3412312865257263,
0.728808581829071,
-0.2035827338695526,
-0.5456222295761108,
0.7182567715644836,
0.46745169162750244,
-0.40752112865448,
0.14896543323993683,
-0.7530966401100159,
0.4102512300014496,
-0.11367443203926086,
-0.07568711787462234,
... |
Instructions: In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the 'No' category. The sentence contains motion if it (i) involves the movement of a physical object. (ii) contains verb in present tense indicating the action performed. Sometimes there can be verb which indicates a motion but the motion might have happened in the past and the answers to such sentences is 'No'
Input: More people continue to solve the puzzle as the camera captures them from many sides.
Output: | Yes | 3 | NIv2 | task1517_limit_classfication | zs_opt | [
-0.41792482137680054,
0.3826466500759125,
0.1523381918668747,
0.8392181396484375,
-0.14205259084701538,
-0.034247998148202896,
0.12818537652492523,
1.2932860851287842,
0.04134909808635712,
-0.3735972046852112,
-0.5196126699447632,
-0.7118924856185913,
-0.2801051139831543,
0.034634016454219... |
instruction:
In this task, you are given a sentence in English, and your task is to translate it into Persian.
question:
hollander .
answer:
هالندر .
question:
atomization .
answer:
ريز سازي .
question:
my mouths full of cotton .
answer:
| دهن من پر ازکتانه .
| 9 | NIv2 | task658_tep_en_fa_translation | fs_opt | [
0.42741358280181885,
1.0926796197891235,
-0.29680758714675903,
-0.04121281951665878,
-0.5346564054489136,
-0.13089384138584137,
-0.0031681135296821594,
0.6011161804199219,
0.3367151618003845,
-0.24513588845729828,
-0.6276324987411499,
-0.16862717270851135,
-0.9362119436264038,
0.4288013279... |
Teacher: 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 the Head is used for the Tail or not. The usage describes everyday affordances or uses of objects and includes both typical and atypical uses. For example, a popcorn bucket can typically be used to hold popcorn, but it could also serve as a hat in atypical situations. 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Head: basket<sep>Tail: carry laundry
Solution: Yes
Reason: This is a good example. The basket is used for carrying the laundry.
Now, solve this instance: Head: PersonX accepts god 's ___<sep>Tail: To become monk
Student: | No | 2 | NIv2 | task1209_atomic_classification_objectuse | fs_opt | [
0.32626432180404663,
0.19500590860843658,
-0.0388244092464447,
0.2104002684354782,
-0.4931923747062683,
-0.8686788082122803,
0.7257018685340881,
0.9898395538330078,
-0.4047695994377136,
-0.15822547674179077,
-0.47295811772346497,
-0.1510707437992096,
-0.5306848287582397,
-0.148455247282981... |
You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
Q: concept: John Connor answers: ['Christian Bale']
A: | who plays john connor in terminator salvation? | 4 | NIv2 | task1602_webquestion_question_genreation | zs_opt | [
0.5629144310951233,
0.8998702168464661,
-0.5192907452583313,
-0.11886177957057953,
0.518744170665741,
-0.8184479475021362,
0.40171435475349426,
0.09822307527065277,
-0.12060113251209259,
-0.5327199101448059,
0.6705607771873474,
-0.045572757720947266,
-1.5227000713348389,
-0.438529044389724... |
Q: 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..
Context: Kendall liked the music they created after many long hours.
Answer: a good musician
A: | How would you describe Kendall? | 7 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
-0.3856261074542999,
1.3163814544677734,
0.05710388720035553,
-0.5231584310531616,
0.10451649874448776,
-0.024212758988142014,
0.068475142121315,
0.06033624708652496,
-0.16063959896564484,
0.22472549974918365,
-0.05500476807355881,
-0.13300156593322754,
-1.2204442024230957,
0.0136603172868... |
You are given a dialog between 2 or more individuals. You need to generate the number of the speaker (e.g. 1 for Speaker 1) who had the most lines in the dialog. If there is a tie, output the answer '0'.
Let me give you an example: Speaker 1: What do you think we should do for our 10th wedding anniversary?
Speaker 2: Hm, how about we take a vacation? Somewhere sandy and warm.
Speaker 1: Well, if we're going to go out of the country, you need to be sure to renew your passport. It expired over a year ago!
Speaker 2: How about we get something expensive instead of travelling. We could get a new car.
Speaker 1: Is this your way of telling me that you want me to buy you a car?
The answer to this example can be: 1
Here is why: In this dialog, there are 5 lines of speech. Three of them belong to Speaker 1 and two of them belong to Speaker 2. Therefore, Speaker 1 has the most lines in the dialog.
OK. solve this:
Speaker 1: Dance with him.
Speaker 2: Mom, I'm hungry.
Speaker 1: Dance with your father.
Speaker 3: I may not know any of your flash dances but I'm no slouch on the dance floor.
Speaker 2: Alright.
Speaker 1: Oh, Jack.
Speaker 3: Oh, Judy. Oh, Judy.
Speaker 4: Oh, ohhhhh.
Answer: | 1 | 8 | NIv2 | task909_dialogre_prevalent_speakers | fs_opt | [
0.6618461608886719,
0.6773967146873474,
-0.30988478660583496,
0.21267512440681458,
-0.023689648136496544,
0.22635909914970398,
0.0939616784453392,
0.6894203424453735,
-0.34385156631469727,
0.08233771473169327,
0.0456249862909317,
0.2954694628715515,
-0.623510479927063,
-0.3329284191131592,... |
In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
Example: 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. Sentence 5: Marcus was happy to have the right clothes for the event.
Example solution: Marcus Buys Khakis
Example explanation: Marcus's reasons for buying khakis is established, followed by his purchase of them and reaction.
Problem: Sentence 1: Sam opened the door slowly to not make much noise. Sentence 2: The puppy he held in his hands wiggled gently. Sentence 3: It was a new pet for his daughter. Sentence 4: He called out her name and heard her feet come down the stairs. Sentence 5: Her eyes lit up as she turned and reached out for the puppy.
| Solution: Pet | 5 | NIv2 | task219_rocstories_title_answer_generation | fs_opt | [
-0.041407592594623566,
0.5152361392974854,
0.02662689983844757,
-0.15338203310966492,
0.27458715438842773,
0.10623417794704437,
-0.17597825825214386,
0.36259305477142334,
-0.11467298865318298,
0.5360313057899475,
-0.8804212212562561,
-0.23429420590400696,
-0.41517946124076843,
0.0269044023... |
instruction:
In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
question:
(A) giving someone an ultimatum to identify himself online before I do it for him
(B) telling a complete stranger that someone is posting explicit stories about him and his students online
answer:
A
question:
(A) telling my sister not to bring her boyfriend to sleep over anymore
(B) staying in an open relationship with my best friend and roommate
answer:
A
question:
(A) not get getting DH's mom's husband a gift that was only for him at Christmas
(B) asking my parents to stop using Essential Oils around my pets
answer:
| A
| 9 | NIv2 | task106_scruples_ethical_judgment | fs_opt | [
-0.6890913248062134,
0.44370147585868835,
0.32544106245040894,
-0.3805355429649353,
-0.9280353784561157,
-0.45032307505607605,
0.7423123121261597,
0.16832703351974487,
0.12913547456264496,
0.25261619687080383,
-0.2069234549999237,
0.11420156061649323,
-0.16726557910442352,
-0.7577630877494... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as taboo in polite usage.
Example: Comment: Damn! Another cloudy day, and it's all Obama's doing!
Example solution: Obscene
Example explanation: This is obscenity because it hints on sexual content that is offensive to the public sense of decency.
Problem: Comment: Surely you don't expect anyone to believe that nonsense?
| Solution: Non-obscene | 5 | NIv2 | task326_jigsaw_classification_obscene | fs_opt | [
-0.6410914659500122,
-0.03637174144387245,
0.8534135818481445,
0.2680366337299347,
0.34766432642936707,
-0.46589404344558716,
0.003050524741411209,
0.7094072103500366,
0.14385944604873657,
0.49587196111679077,
-0.012823586352169514,
-0.12783566117286682,
0.03425651788711548,
-1.27428102493... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
[Q]: Mirade a mesa de café: crece en anchura e altura para sentar a 10.
[A]: Vean la mesita baja, crece en altura y tamaño para acomodar a 10.
[Q]: Así, empezamos cunha mesa pregable na sala de espera da clínica, estilo “posto de limonada ”.
[A]: Así que empezamos con una mesa plegable en la sala de espera de la clínica, totalmente al estilo “puesto de limonada ”.
[Q]: Precisabas empatía e compaixón e por riba de todo, precisabas un médico que estivese disposto a considerar que se cadra non eras ti a que lle estaba fallando ó sistema.
[A]: | Necesitabas mi empatía y compasión, y por encima de todo, necesitabas un médico que estuviera dispuesto a considerar que tal vez no defraudaste al sistema.
| 5 | NIv2 | task1240_ted_translation_gl_es | fs_opt | [
-0.5005659461021423,
0.6056554913520813,
-0.6654359698295593,
-0.861567497253418,
-0.1760859191417694,
-1.0862045288085938,
0.2832168638706207,
0.8058590292930603,
0.40722858905792236,
-0.03823920711874962,
0.10392647236585617,
-0.005608669947832823,
-0.49425897002220154,
1.024655938148498... |
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