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 |
|---|---|---|---|---|---|---|
Detailed Instructions: 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.
Q: Charges both of my phones at full speed. This product is great. Comes with the cords needed as well. Buy it, you'll like it! ( Don't leave it plugged in too long, though, because this charger doesn't come equipped with a switch).
A: | Good Review | 9 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.46661999821662903,
-0.03254290670156479,
-0.2990838885307312,
-0.24205148220062256,
0.32903486490249634,
-1.4581775665283203,
0.47662460803985596,
1.0931410789489746,
0.16180145740509033,
0.5356309413909912,
-0.16261401772499084,
0.10576264560222626,
-0.17009946703910828,
0.080621570348... |
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closest option. Note that URLs in the text have been replaced with [Link].
Example Input: Help the Monitor Your support enables us to bring you insightful, global news coverage. Please donate today to support independent journalism.
Example Output: World
Example Input: Mac Supercomputer Gets Performance Makeover The Apple-based System X supercomputer at Virginia Tech has been upgraded to run at 12.25 teraflops. The system placed third on the list of the world #39;s most powerful supercomputers last
Example Output: Sci/Tech
Example Input: Iran Blinks, Sort Of I ran now has backed off from a demand that had stalled an agreement worked out by France, Britain and Germany to freeze all of Iran #39;s uranium processing activities.
Example Output: | World
| 3 | NIv2 | task379_agnews_topic_classification | fs_opt | [
-0.09224926680326462,
0.60340416431427,
-0.2742688059806824,
0.7846343517303467,
0.48576539754867554,
0.08077090233564377,
0.31058746576309204,
1.0446288585662842,
0.0561513751745224,
0.11621761322021484,
-0.5783491730690002,
0.5698271989822388,
-0.04847767949104309,
0.5624662637710571,
... |
Teacher:A text is given in Marathi. Translate it from the Marathi language to the Tamil language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: गेल्या दोन महिन्यात या अभियानाचा खूपच सकारात्मक परिणाम झाला आहे.
Student: | கடந்த இரண்டு மாதத்தில், இந்த இயக்கத்தால் நேர்மறையான தாக்கம் ஏற்பட்டுள்ளது. | 6 | NIv2 | task1083_pib_translation_marathi_tamil | zs_opt | [
0.488007128238678,
0.3821430802345276,
0.2601556181907654,
-0.5525686740875244,
-0.2486344873905182,
-1.0988774299621582,
0.05010431632399559,
0.45826607942581177,
-0.2588351368904114,
0.2949262857437134,
0.07629965245723724,
-0.04681999236345291,
-0.4341095983982086,
-0.6918284893035889,
... |
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Context: Insulin resistance is a central feature of type 2 diabetes. Salicylates prevent lipid-induced insulin resistance in rodents by interrupting inflammatory pathways. We therefore investigated whether salicylates reduce lipid-induced insulin resistance in humans by affecting inflammatory pathways as reflected by serum adipocytokines.', 'Ten healthy men were included in a crossover intervention study. Four euglycemic-hyperinsulinemic clamps were performed, one without pretreatment, one with prior 2-h lipid infusion, one after pretreatment with 4 g acetylsalicylic acid (ASA), and one with ASA pretreatment and prior lipid infusion.', 'Lipid-induced insulin resistance was quantified by the euglycemic-hyperinsulinemic clamp technique running at least 2 h. Repeated-measures ANOVA on two factors was used for comparison, and results were Bonferroni adjusted for multiple measurements. ASA effects on serum adipocytokines were addressed by comparing the areas under the curves.', "Glucose infusion rate (M value) of the control clamp without pretreatment was 6.3 (+/- 0.6) mg/kg.min. ASA pretreatment did not change glucose infusion rates (P = 0.6). Lipid infusion significantly decreased the M value to 4.1 (+/- 0.6) mg/kg.min (P = 0.008). After ASA pretreatment and lipid infusion, the M value was 4.8 (+/- 0.7) mg/kg.min and was significantly improved, compared with the lipid-only clamp (P = 0.036 after Bonferroni's adjustment). General biomarkers of inflammatory processes (IL-6, C-reactive protein), the insulin-sensitizing mediator adiponectin, and circulating adiponectin oligomers were unchanged by ASA pretreatment.\Question: Does acetylsalicylic acid improve lipid-induced insulin resistance in healthy men? | ASA pretreatment attenuated lipid-induced insulin resistance in healthy humans. This acute insulin-sensitizing effect of ASA was unrelated to changes of circulating inflammatory markers. | 0 | NIv2 | task849_pubmedqa_answer_generation | zs_opt | [
0.49785858392715454,
0.4427477717399597,
-0.33182212710380554,
-0.2996428310871124,
0.3709615468978882,
-0.7535473108291626,
0.15839672088623047,
0.8851914405822754,
0.24239759147167206,
-0.14979197084903717,
-0.725710928440094,
0.6221377849578857,
-0.39072930812835693,
-0.0138547588139772... |
In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage while labelling True or False.
Input: Consider Input: Passage: The third assessment report (TAR) prominently featured a graph labeled "Millennial Northern Hemisphere temperature reconstruction" based on a 1999 paper by Michael E. Mann, Raymond S. Bradley and Malcolm K. Hughes (MBH99), which has been referred to as the "hockey stick graph". This graph extended the similar graph in Figure 3.20 from the IPCC Second Assessment Report of 1995, and differed from a schematic in the first assessment report that lacked temperature units, but appeared to depict larger global temperature variations over the past 1000 years, and higher temperatures during the Medieval Warm Period than the mid 20th century. The schematic was not an actual plot of data, and was based on a diagram of temperatures in central England, with temperatures increased on the basis of documentary evidence of Medieval vineyards in England. Even with this increase, the maximum it showed for the Medieval Warm Period did not reach temperatures recorded in central England in 2007. The MBH99 finding was supported by cited reconstructions by Jones et al. 1998, Pollack, Huang & Shen 1998, Crowley & Lowery 2000 and Briffa 2000, using differing data and methods. The Jones et al. and Briffa reconstructions were overlaid with the MBH99 reconstruction in Figure 2.21 of the IPCC report. Question: When was the paper published that the "Millennial Northern Hemisphere temperature reconstruction" graph was based on?
Output: True
Input: Consider Input: Passage: The final years of the Yuan dynasty were marked by struggle, famine, and bitterness among the populace. In time, Kublai Khan's successors lost all influence on other Mongol lands across Asia, while the Mongols beyond the Middle Kingdom saw them as too Chinese. Gradually, they lost influence in China as well. The reigns of the later Yuan emperors were short and marked by intrigues and rivalries. Uninterested in administration, they were separated from both the army and the populace, and China was torn by dissension and unrest. Outlaws ravaged the country without interference from the weakening Yuan armies. Question: What were later Yuan emperors disinterested in?
Output: True
Input: Consider Input: Passage: To classify the computation time (or similar resources, such as space consumption), one is interested in proving upper and lower bounds on the minimum amount of time required by the most efficient algorithm solving a given problem. The complexity of an algorithm is usually taken to be its worst-case complexity, unless specified otherwise. Analyzing a particular algorithm falls under the field of analysis of algorithms. To show an upper bound T(n) on the time complexity of a problem, one needs to show only that there is a particular algorithm with running time at most T(n). However, proving lower bounds is much more difficult, since lower bounds make a statement about all possible algorithms that solve a given problem. The phrase "all possible algorithms" includes not just the algorithms known today, but any algorithm that might be discovered in the future. To show a lower bound of T(n) for a problem requires showing that no algorithm can have time complexity lower than T(n). Question: A specific algorithm demonstrating T(n) represents what measure of time complexity?
| Output: True
| 2 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.44665729999542236,
0.6225784420967102,
-0.7662577629089355,
0.17362116277217865,
0.4946392774581909,
-0.28910350799560547,
0.4347207844257355,
0.5128369331359863,
0.12713301181793213,
0.1475689709186554,
-0.43092334270477295,
0.6934345960617065,
-0.25143080949783325,
0.4376853406429291,
... |
Rewrite each original sentence in order to make it easier to understand by non-native speakers of English. You can do so by replacing complex words with simpler synonyms (i.e. paraphrasing), deleting unimportant information (i.e. compression), and/or splitting a long complex sentence into several simpler ones. The final simplified sentences need to be grammatical, fluent, and retain the main ideas of their original counterparts without altering their meanings.
Example: From its inception, it was designated a duty-free port and vied with the neighboring Sultanate of Pattani for trade.
Example solution: From the start, it was chosen to be a duty-free port to compete with the neighboring Sultanate of Pattani for trade.
Example explanation: In this example complex words are substituted with simpler ones. The word 'start' has taken the place of 'inception' and the verb 'compete' is used instead of 'vie'.
Problem: These benefits are in some ways similar to those realized by owners of infrastructural capital which yields more goods, e. g. a factory which produces automobiles just as an apple tree produces apples.
| Solution: These benefits are similar to those realized by owners of infrastructural capital that yields more goods. For example, a factory that produces automobiles just as an apple tree produces apples. | 5 | NIv2 | task111_asset_sentence_simplification | fs_opt | [
-0.057912297546863556,
0.7679333090782166,
0.4970707595348358,
-0.3054531216621399,
0.09575334191322327,
-0.7139825820922852,
0.9192030429840088,
0.885148823261261,
0.21980538964271545,
0.18530488014221191,
-0.4868834614753723,
0.019788820296525955,
-0.8702960014343262,
-0.0079665146768093... |
Q: In this task, you are given a list of integers in a random order. You need to return the same list of integers in the reverse order.
[205, 154, 256, 22, 202, 95, 138, 72, 139, 39, 276, 184, 286, 237, 111, 89, 227, 66, 49, 167]
A: | [167, 49, 66, 227, 89, 111, 237, 286, 184, 276, 39, 139, 72, 138, 95, 202, 22, 256, 154, 205] | 7 | NIv2 | task1331_reverse_array | zs_opt | [
-0.9166908264160156,
1.0228865146636963,
0.2964647710323334,
-0.07302063703536987,
-0.5867667198181152,
0.20116975903511047,
0.6623833775520325,
-0.4538440704345703,
-0.5754114389419556,
0.21370330452919006,
-1.4059014320373535,
0.11213451623916626,
-0.17695452272891998,
-0.112463384866714... |
In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Example Input: In early 19th century Styria, a beautiful blonde (Kirsten Lindholm) in a diaphanous gown materializes from a misty graveyard. Encountering the Baron Hartog (Douglas Wilmer), a vampire hunter out to avenge the death of his sister, the girl is identified as a vampire and decapitated. Many years later, a dark-haired lady leaves her daughter Marcilla (Ingrid Pitt) in the care of General von Spielsdorf (Peter Cushing) and his family in Styria. Marcilla quickly befriends the General's niece, Laura (Pippa Steel). Laura subsequently suffers nightmares that she is being attacked, and dies of a gradual sickness; whereupon Marcilla departs.Faking a carriage break-down, Marcilla's mother leaves her (now using the alias 'Carmilla') at the residence of a Mr. Morton, where Carmilla befriends and seduces Morton's daughter Emma (Madeline Smith). Thereafter Emma suffers nightmares of penetration over the heart, and her breast shows tiny wounds. Emma's governess, Madame Perrodot (Kate O'Mara), becomes Carmilla's accomplice. The butler and a doctor suspect them; but Carmilla kills each one. A mysterious man in black watches events from a distance, smiling (his presence is never explained). Having killed the butler, Carmilla takes Emma prisoner and departs. When Madame Perrodot begs Carmilla to take her too, Carmilla kills her. Emma is rescued by a young man named Carl (Jon Finch), and Carmilla flees to her ancestral castle, now a ruin. All this coincides with the arrival of the General, who brings a now-aged Baron Hartog. They find Carmilla's grave, which reveals that her true name is Mircalla Karnstien, where the General forces a stake into Carmilla's heart, and cuts off her head. Thereupon Carmilla's portrait on the wall shows a fanged skeleton instead of a beautiful young woman., Question: What is Marcilla's alias?
Example Output: Answer: Carmilla
Example Input: The film begins in Honolulu, Hawaii, with someone dumping large containers into the ocean and then going to meet with a few men in suits expecting to get paid. But because he dumped the containers and altered the schedule of those container shipments to the customer, he is killed.We are then taken underwater in the blue ocean as Sebastian (Chris Carmack) and his girlfriend Dani (Laura Vandervoort) are dive surfing with a model. We learn that the group own a snorkeling business that rents out equipment for clients. Sebastian does not want to do this line of work forever.For Sebastian, there are countless treasures in the ocean that he has been in search of for a long time but one that he has been searching for four years is the Spanish ship San Cristobal, which sank somewhere near the North Reef and is rumored to have sunk in the ocean with a large treasure.Sebastian believes that if he finds this treasure, this will give him and his girlfriend the opportunity to live a better life.Sebastian hangs out with his friend and employee Mace (Michael Graziadei) and his girlfriend Kimi (Mircea Monroe), Dani's best friend, who are a couple that have a difficult relationship because Mace tends to get involved with other women. While Mace and Kimi have a crazy relationship, Sebastian and Dani are very much in love.While at work, they are visited by Carlton (David Anders) and Azra (Marsha Thomason), a couple who wants to hire them for diving in the North Reef for a week because they are looking for the San Cristobal.Of course, Sebastian has been trying for several years to find it but Carlton happens to have a map which may lead them to the treasure. So, both Sebastian and Dani agree to help the couple. The four go on various diving expeditions to find the treasure.We then get to see some of the beach life as all six individuals enjoy the beach. Dani, Kimi, Sebastian, and Mace get involved in separate beach volleyball competitions. Sebastian and Mace go against their main diving competitors, Avery (Rand Holdren), who dates a girl named Kelsey (Audrina Patridge), who loves to lecture him when he gets into trouble by messing around with women.While at a club, another customer hits on the women and grabs the arm of Azra, who quickly puts him in a headlock. This raises the first red flag for Dani, who becomes suspicious.The following day, we learn that Carlton is not really looking for the San Cristobal. He actually helps big clients smuggle treasure to other locations. Both Carlton and Azra tell Sebastian and Dani that if they help them find the two containers, they will earn $500,000. Also, we learn that if Carlton does not find the containers in a week, the men will kill them. The reason why he is willing to pay them a lot of money is part of an apology because the men who hired him know the names of Sebastian and Dani and their lives are in danger too.So, now both Sebastian and Dani are forced to help Carlton and Azra find the two containers but while they are at sea, Avery takes notice and he starts looking to find whatever they are looking for.With their lives threatened, Dani convinces Sebastian that they must look to see what is in those containers and why their lives are being threatened. Something terrible could be in those containers and they need to check them without bringing Carlton and Azra along.Thus, the two take their boat out to sea late at night to dive and see what those containers are. What they find in the containers is not a treasure but a bomb. When they return from their boat after the dive, they are greeted by Carlton and Azra, who have been hiding in their boat and are ready to kill them. Carlton tells them that in container one there is the casing and in container two there is a nuclear warhead. One without the other is useless but together they make a powerful weapon. Their goal is to create a second Pearl Harbor.Dani jumps off the boat to try to get help. She is found in the morning one mile off shore and is put in the hospital. Azra tries to kill her but she runs away and a chase ensues. Meanwhile, Sebastian and Mace try to bring up the containers for Carlton. Mace purposely messes up and Kimi is killed. Sebastian and Mace rebel, ending in Carlton and his bodyguard dead. Dani outruns Azra and Azra kills her boss so she can disappear again. Dani, Sebastian, and Mace reunite. They then have Kimi's funeral.The movie concludes six months later where Sebastian and Mace find the San Cristobal and buy their someday boat., Question: What will happen to Carlton if he does not find the containers?
Example Output: Answer: Men will kill him
Example Input: Jamie Rellis (Mila Kunis) is an executive recruiter for a leading job agency in New York City, and Dylan Harper (Justin Timberlake) works as an art director for a small internet company in Los Angeles. Jamie has the task of trying to recruit Dylan to interview for a job with GQ and begin working in New York City. Dylan comes to New York and after interviewing for the position learns from Jamie that he has been given an offer to work for GQ. At first Dylan is hesitant to accept the job and move from Los Angeles to New York. But after a fun night exploring the city with Jamie, Dylan agrees to accept the position.The following day, Jamie presents Dylan with the contract to sign so she can land her commission for recruiting him. Not knowing anyone else in the city, he and Jamie quickly develop a strong platonic friendship. One night, they get on the topic of sex and relationships. They come to the conclusion that sex should not come with so many emotional attachments. As they both feel the need for a physical connection, they agree to have sex without emotion or commitment. After several trysts together, Jamie comes to the realization that this is not really what she wants and she would like to start dating again. She tells Dylan that they need to stop.Jamie meets Parker, an oncologist, and they begin dating. After five dates, they consummate their relationship, only to break up the next morning. Trying to be sympathetic and to console her, Dylan suggests she travels with him to California over the Fourth of July weekend, while he visits his family. Initially hesitant, Jamie agrees after much persistence from Dylan. They fly to Los Angeles, where Jamie meets his sister Annie, nephew Sammy, and father, who suffers from the early stages of Alzheimer's disease. While in California, they begin to develop strong emotional romantic feelings for each other, and share a passionate kiss, which leads to a night of close intimacy unlike any other they had shared before. However, the next day, Jamie overhears a conversation between Annie and Dylan, where Dylan admits to having no real feelings for Jamie. Hurt, she flies back to New York. A few days later, Dylan returns to New York, trying to reconcile his friendship with Jamie and find out why she has been ignoring him. He finally finds Jamie, and she informs him she overheard everything he said and has no interest in maintaining any kind of a friendship with him.Soon after this, Jamie discovers that Dylan may be leaving the GQ position for another job before the year elapses on his contract, which would affect her commission. She confronts Dylan about this, which leads to another argument. Both begin to do some soul searching trying to come to terms with their feelings about their relationship. Jamie spends time with her mother, Lorna, while Dylan discusses it with Annie over the phone. His sister informs him that their father will be flying to Newark and he needs to be picked up at the airport. While at the airport, his father, in a moment of Alzheimer's-induced confusion, incorrectly recognizes a passer-by as a woman from his past. Dylan asks him about the woman, and his father, upon regaining his lucidity, says that she was a woman he met in the Navy, that she was the love of his life, and he regrets decisions he made in his youth to let her go. He tells Dylan not to do the same thing, and to go after the woman he loves, if there is any chance of saving the relationship.Dylan realizes how he really feels about Jamie after talking with his father, and decides to go after her. He calls Jamieâs mother to set up an excuse to get Jamie to go to Grand Central Station thinking she will be picking up her mother. He arranges to have a flash mob dance to "Closing Time" set up to surprise Jamie at the station. When the moment comes, he catches up with Jamie and tells her how he really feels. Surprised and happy by this turn of events, Jamie tells him to kiss her. After sharing a passionate kiss, Dylan suggests it is time they go on their first real date. They go across the street to the Pershing Square café and although they attempt to keep the date casual and relaxed, the film ends with them in a sensual embrace and passionate kiss., Question: What surprise does Dylan plan for Jamie at the station?
Example Output: | Answer: Flash mob
| 3 | NIv2 | task194_duorc_answer_generation | fs_opt | [
0.5409980416297913,
-0.16464628279209137,
-0.6678211688995361,
-0.03226904943585396,
0.2651827335357666,
-0.08483001589775085,
0.6160305738449097,
0.8914090394973755,
-0.04878750443458557,
0.3500107526779175,
0.33314549922943115,
0.3787648379802704,
-0.5873384475708008,
0.22681328654289246... |
Teacher: Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? If you are still confused, see the following example:
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。
Solution: Italia berhasil mengalahkan Portugal 31-5 di grup C dalam Piala Dunia Rugby 2007 di Parc des Princes, Paris, Perancis.
Reason: This is a correct and accurate translation from Japanese to Bahasa Indonesia because translated text is just paraphrased of Japanese sentence. Also, it preserves the numbers as it is.
Now, solve this instance: 特に、合衆国のアップルストアとAT&Tストアおよびカナダにおいて、iPhoneを利用可能にするシステムが、ネットワークの故障および初日の販売に見合うだけのキャパシティに満たずに困難を期した。
Student: | Sistem memungkinkan iPhone kesulitan pada layanan disebabkan oleh kegagalan jaringan dan kekurangan kapasitas untuk memenuhi permintaan pada penjualan hari pertama, terutama di Amerika Serikat pada Apple dan Toko AT&T, dan di Kanada. | 2 | NIv2 | task1115_alt_ja_id_translation | fs_opt | [
-0.008237707428634167,
0.8071150779724121,
-0.7383134365081787,
0.001350611331872642,
-0.1888987123966217,
-0.5969648361206055,
0.2942183315753937,
0.5782510042190552,
-0.14666220545768738,
-0.5657076835632324,
-0.6561200618743896,
0.8439760208129883,
-0.6683123707771301,
0.419145911931991... |
Teacher:In this task, you are given a short passage that conveys a stereotype or an anti-stereotype. A stereotype is an over-generalized belief about a particular group of people(based on race, ethnicity, gender, age, abilities, etc.). An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into two classes: stereotype or anti-stereotype.
Teacher: Now, understand the problem? Solve this instance: Passage: We need to investigate the Christians, everyone knows they are shifty.
Student: | Anti-stereotype | 6 | NIv2 | task316_crows-pairs_classification_stereotype | zs_opt | [
-0.2213801145553589,
-0.16121919453144073,
-0.026084840297698975,
0.3975260853767395,
0.014299052767455578,
0.053904786705970764,
0.4753802418708801,
0.5583715438842773,
0.8663935661315918,
-0.07142164558172226,
-0.40207618474960327,
-0.26335519552230835,
-0.8651378154754639,
-0.3092752993... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Input: Persistence means long-lasting.
Output: | الإستمرارية تعني الديمومة | 2 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
-0.2818731367588043,
0.5227148532867432,
0.15343669056892395,
-0.7827274799346924,
-0.3484485149383545,
-1.0095268487930298,
0.3219676613807678,
0.2388847917318344,
0.509181022644043,
0.19164179265499115,
-0.6361569166183472,
0.561663031578064,
-0.6572840213775635,
0.7234007716178894,
0.... |
Detailed Instructions: 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'.
Q: Speaker 1: Monica-Monica-Monica-Monica, listen-listen, listen, listen, would-would it make you feel better if we all stop talking about Ross and Rachel.
Speaker 2: Yes that would be lovely.
Speaker 1: You got it. Okay. Now, I can pass for 19 right?!
Speaker 3: Yes, you can pass for 19.
Speaker 1: Really?
Speaker 3: Yes!
Speaker 1: Seriously?
Speaker 3: Seriously? Seriously, no! You can play your own age which is 31!
Speaker 1: I'm 30!
Speaker 4: Joey, you are not! You're 31.
Speaker 1: Aww crap!
A: | 1 | 9 | NIv2 | task909_dialogre_prevalent_speakers | zs_opt | [
0.2813497483730316,
0.5779559016227722,
-0.02125394158065319,
-0.22715839743614197,
0.19376415014266968,
-0.6852505803108215,
0.22021667659282684,
0.6957105398178101,
0.613571286201477,
-0.12474450469017029,
-0.4625074863433838,
0.15628862380981445,
0.04533463716506958,
-0.6348073482513428... |
Given the task definition and input, reply with output. Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Namun, Paul Whitehouse yang juga membintangi serial tersebut mengaku tidak tahu-menahu atas penelitian ini.
| しかし共演者のポール・ホワイトハウス氏は、彼がその調査について何も知らないと主張した。 | 5 | NIv2 | task1116_alt_id_ja_translation | zs_opt | [
-0.22746539115905762,
0.5344070196151733,
0.06610573828220367,
-0.32207930088043213,
0.0561850443482399,
0.14174124598503113,
1.1918447017669678,
-0.10120268911123276,
0.07635973393917084,
-0.26066964864730835,
-0.8552922606468201,
0.713488757610321,
-0.971707820892334,
-0.0102459490299224... |
We would like you to assess the QUALITY of each of the following argument (discussing Gun Control) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of gun control. An invalid argument is a phrase that cannot be interpreted as an argument or not on the topic of gun control.
One example is below.
Q: If gun bans worked there would be no gun deaths in the countries that have banned guns.
A: Valid
Rationale: It is an argument that claims that gun bans will not work.
Q: There are getting to be a heap less that believe like your buddy; statistics from polls are running close to 80% of Americans believe what the 2A says, just as the SCOTUS determined, guns are an individual right!
A: | Valid | 9 | NIv2 | task150_afs_argument_quality_gun_control | fs_opt | [
0.1749892234802246,
0.7760353088378906,
0.35645732283592224,
-0.42178910970687866,
-0.02935105934739113,
-1.7132850885391235,
0.20358744263648987,
0.7753964066505432,
0.08617167174816132,
0.6353217959403992,
-0.6983082294464111,
-0.49876075983047485,
-0.36321383714675903,
0.283885717391967... |
In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Example input: We propose a local coherence model based on a convolutional neural network that operates over the entity grid representation of a text. The model captures long range entity transitions along with entity-specific features without loosing generalization, thanks to the power of distributed representation. We present a pairwise ranking method to train the model in an end-to-end fashion on a task and learn task-specific high level features. Our evaluation on three different coherence assessment tasks demonstrates that our model achieves state of the art results outperforming existing models by a good margin.
Example output: A Neural Local Coherence Model
Example explanation: This statement "A Neural Local Coherence Model" is taken from the subtext "convolutional neural network" and its explanation in the passage. This is a positive example because the title belongs to the mentions in the passage
Q: In collective decision making, where a voting rule is used to take a collective decision among a group of agents, manipulation by one or more agents is usually considered negative behavior to be avoided, or at least to be made computationally difficult for the agents to perform. However, there are scenarios in which a restricted form of manipulation can instead be beneficial. In this paper we consider the iterative version of several voting rules, where at each step one agent is allowed to manipulate by modifying his ballot according to a set of restricted manipulation moves which are computationally easy and require little information to be performed. We prove convergence of iterative voting rules when restricted manipulation is allowed, and we present experiments showing that most iterative voting rules have a higher Condorcet efficiency than their non-iterative version.
A: | Restricted Manipulation in Iterative Voting: Convergence and Condorcet Efficiency | 3 | NIv2 | task1540_parsed_pdfs_summarization | fs_opt | [
-0.29529425501823425,
0.4025786519050598,
0.4932354688644409,
0.4126785099506378,
0.2633439898490906,
-0.32119229435920715,
0.6690080165863037,
0.5067152380943298,
-0.04606174677610397,
0.3886980712413788,
-0.3111516237258911,
0.077519491314888,
-0.29745185375213623,
0.002358131343498826,
... |
Given the task definition and input, reply with output. In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
A minister can look after a country
A criminal can look after a country
| second | 5 | NIv2 | task291_semeval_2020_task4_commonsense_validation | zs_opt | [
-0.42404332756996155,
0.784661054611206,
0.2516656219959259,
-0.6259597539901733,
-0.31944727897644043,
-0.1549559235572815,
0.09938851743936539,
0.2534181475639343,
0.05894263833761215,
0.04261235147714615,
-0.9161767959594727,
-0.20057135820388794,
-0.4324091076850891,
-0.032325744628906... |
Q: We would like you to classify each of the following sets of argument pairs (discussing Death Penalty) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A FACET is a low level issue that often reoccurs in many arguments in support of the author's stance or in attacking the other author's position.
Sent1: Most people would agree that someone who kills someone in self defense doesn't deserve the death penalty, but there have been a couple of recent cases where someone killed someone in revenge for molesting their children.
Sent2: Once the danger is gone killing a person is simply murder.
A: | Not similar | 7 | NIv2 | task145_afs_argument_similarity_death_penalty | zs_opt | [
-0.2550416588783264,
0.4965965747833252,
0.21028883755207062,
0.1719534993171692,
0.05913219228386879,
-0.7306896448135376,
1.0092813968658447,
0.37320202589035034,
0.01795356720685959,
0.378877192735672,
0.02842095121741295,
0.23927153646945953,
-0.8034508228302002,
0.6633065938949585,
... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list you should output 0 for that list.
Example: [[4, 4, 12, -6], [-9, 5, -6, -1], [8, 3, 9, -5, 1]]
Output: [0, 45, -135]
The first inner list has no odd integers, so the first number in the output is 0. The second list has -9, 5, -1 for odd integers so the second output is 45. The third list has 3, 9, -5, 1 as even numbers so the third output is -135. This is a good example.
New input case for you: [[6, -46, 50], [15, 38], [7, 20, -40, -44, -39], [-3, -50, 35, -7, -13], [16, 25], [-26, -30, 22, 7, -3], [41, 32, 35, 28, -6], [6, 28, 4, 11, 34], [33, 5, -35, 19, -20]]
Output: | [0, 15, -273, -9555, 25, -21, 1435, 11, -109725] | 1 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
0.4197215437889099,
-0.2452102154493332,
-0.7956975698471069,
0.014583151787519455,
0.3805481195449829,
-0.13443030416965485,
1.0092875957489014,
0.9378951787948608,
-0.5925052165985107,
0.000029135611839592457,
-0.8518882989883423,
-0.21887697279453278,
-0.21617391705513,
-0.3886838853359... |
Instructions: Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). 1 In short, a "Yes, and" is a dialogue exchange in which a speaker responds by adding new information on top of the information/setting that was constructed by another speaker. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange, although it could be the case if it agrees with the description above. There are many ways in which a response could implicitly/explicitly agree to the prompt without specifically saying 'yes, and...'.
Input: I lost that part of my tongue that can taste a chive, so I don't taste it.
Output: | You can feel it when it hits your tooth. | 3 | NIv2 | task360_spolin_yesand_response_generation | zs_opt | [
0.24789872765541077,
0.8659512996673584,
0.8924773931503296,
-0.19691264629364014,
0.4453577399253845,
-0.5211910605430603,
0.0916353166103363,
0.5784746408462524,
-0.446016401052475,
-0.7574558854103088,
-0.2886519432067871,
-0.2613804340362549,
-0.6491605043411255,
0.5641966462135315,
... |
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sentences that contain no information that is necessary to answer the question). Sort the sentence numbers in an increasing order (i.e., '1, 2', instead of '2, 1'). Your answer should not contain anything than the sentence numbers separated by a comma (e.g. '1, 2, 3, 4'). The given question requires more than one sentence to answer. So, your answer must contain at least one comma (", ").
Example input: Paragraph- Sent 1: A Republican bid to keep the government open past Friday includes no new money for the construction of a border wall along the U.S.-Mexico border, according to several congressional aides familiar with ongoing talks.
Sent 2: GOP leaders submitted the new offer Tuesday afternoon in an effort to appease Democrats, whose votes are needed to avert a shutdown of federal agencies, several House and Senate aides said.
Sent 3: However, Republicans also insisted on increases in border security and defense spending, including money to repair existing fencing and new surveillance technology to patrol the nearly 2,000-mile border.
Sent 4: Democrats have indicated that they would support such appropriations so long as no money goes toward an actual wall.
Question: Who has to be appeased to keep the government open?.
Example output: 1, 2.
Example explanation: The question is: Who has to be appeased to keep the government open? The phrase "appease Democrats" is mentioned in Sent 2, about accepting offer that is mentioned in Sent 1 to "keep the government open". So, Sent 1 and Sent 2 are the sentences needed to answer this question.
Q: Paragraph- Sent 1: Amateur tennis star Guy Haines wants to divorce his vulgar and unfaithful wife Miriam , so he can marry the elegant and beautiful Anne Morton , daughter of a senator .
Sent 2: While on a train to meet Miriam , Haines meets Bruno Anthony , a forward stranger who recognizes Guy from gossip items in the newspapers that detail his marital problems .
Sent 3: During lunch in Bruno 's compartment , Bruno tells Guy about his idea for the perfect `` Criss-cross '' murder : he will kill Miriam and in exchange , Guy will kill Bruno 's father .
Sent 4: Since both are strangers , otherwise unconnected , there is no identifiable motive for the crimes , Bruno contends , hence no suspicion .
Sent 5: Guy hurriedly leaves the compartment but leaves Bruno thinking he has agreed to the deal .
Sent 6: Guy accidentally leaves his cigarette lighter behind , a gift from Anne to Guy , which Bruno pockets .
Sent 7: Bruno heads to Guy 's hometown of Metcalf and follows Miriam and her two beaux to an amusement park , where he briefly illuminates her face with Guy 's lighter , then strangles her to death .
Sent 8: Guy 's problems begin when his alibi an inebriated college professor on the same train as Guy can not remember their meeting .
Sent 9: But they increase exponentially when Bruno makes repeated appearances into Guy 's life as he seeks to remind Guy that he is now obliged to kill Bruno 's father , according to the bargain he thinks they struck on the train .
Sent 10: Bruno sends Guy the keys to his house , a map to his father 's room , and a pistol .
Sent 11: Soon after , Bruno appears at a party at Senator Morton 's house and hobnobs with the guests , much to Guy 's apprehension and Anne 's increasing suspicion .
Question: Where is the party?.
A: | 11. | 3 | NIv2 | task049_multirc_questions_needed_to_answer | fs_opt | [
0.4219469726085663,
0.11072669178247452,
-0.3142276406288147,
-0.24650436639785767,
0.3969661593437195,
-0.46041810512542725,
0.6354283094406128,
0.6335711479187012,
0.05931323021650314,
0.10212162137031555,
-0.7839628458023071,
0.40019866824150085,
-0.20003630220890045,
0.1765939295291900... |
In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
Example input: Says the Annies List political group supports third-trimester abortions on demand.
Example output: abortion
Example explanation: It's a correct subject of the statement because it talks about a political group supporting demans of abortions.
Q: Dave Aronbergs career legal experience is less than two years as Asst. AG/private attorney.
A: | candidates-biography | 3 | NIv2 | task613_politifact_text_generation | fs_opt | [
0.1621505618095398,
0.1357221007347107,
0.07004763185977936,
0.19259925186634064,
-0.41567137837409973,
-0.7053267955780029,
0.5912095904350281,
0.3126135468482971,
0.1105145514011383,
0.4265419542789459,
-0.7090741991996765,
0.12740984559059143,
-0.7025781869888306,
0.1184045672416687,
... |
Definition: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': 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.
Input: Sentence: They aren't `` frigid '' and {{ they }} aren't homosexual ; ;
Word: they
Output: | PRON | 2 | NIv2 | task1168_brown_coarse_pos_tagging | zs_opt | [
0.48758047819137573,
0.00037933862768113613,
-0.18191684782505035,
0.21398130059242249,
-0.15367154777050018,
-0.8703176975250244,
0.7255615592002869,
0.552851676940918,
-0.15715426206588745,
-0.04220088571310043,
-0.5415104627609253,
0.14471516013145447,
-0.6171761751174927,
0.22669100761... |
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
Q: passage: In 2014, Roberts narrated ``Women in Hollywood'', an episode of season 2 of Makers: Women Who Make America. Roberts appears in Givenchy's spring/summer 2015 campaign. In 2016, she starred in the film Mother's Day.
question: did julia roberts daughter play in mother's day?
A: | Yes | 4 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
-0.8654892444610596,
1.2475411891937256,
-0.42077457904815674,
0.6514072418212891,
-0.5451239347457886,
0.4460042119026184,
0.18932031095027924,
0.8036046028137207,
0.30977827310562134,
0.5692205429077148,
0.8289486765861511,
-0.12114859372377396,
-0.19676432013511658,
-0.4796159267425537,... |
Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 英語版Wikipediaの別の活発な寄稿家であるクリスティアノ・モレスキ氏は、「これがオリンピックの閉会式が終わってから5分続くかは疑問だ」と言った。
Bahasa Indonesia: Setelah Teixeira gagal pada 0-2 pitch dengan hanya melakukan satu dari enam inning, Hughes memegang kakinya, dia mengalami cedera urat lutut.
No
Japanese: 彼の代理人により彼が73歳で亡くなったことが発表された。
Bahasa Indonesia: Pencarian berlanjut atas 2 anak lainnya - Hannah Luong, 2, dan Lindsey Luong, 1.
No
Japanese: FIFAのウェブサイトに公開された声明には「FIFAは再度すべてのイラクの関係者に対し、一般的にはスポーツの自主性を、そして特にIFAを、尊重することを求め、IFAとFIFAの規則に従って物事を執り行うことを許可するよう求める」とあった。
Bahasa Indonesia: Adam Bandt diperhitungkan untuk menjadi anggota untuk Divisi Melbourne.
| No
| 0 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
0.13842229545116425,
-0.30461323261260986,
-0.38700854778289795,
0.2557394504547119,
0.4105037450790405,
-0.4380510449409485,
0.3908405005931854,
-0.71625816822052,
0.38913193345069885,
-0.6747211217880249,
-0.4568926692008972,
0.6804221272468567,
-0.7037948369979858,
0.7762132883071899,
... |
In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as non-hateful. Answer "hateful" or "Non-hateful". Note that the URLs in the text have been replaced with [Link].
Post: Harvey: Ugh! Just disgusting. Pedro: Disgusting are the illuminati women because they were fucked up in every hole.
Hateful
Post: The #AmericanCommunists who live in our country want open borders.#DrainTheSwamp#StopTheInvasion [Link]
Hateful
Post: Feminism is cancer. #TheRedPill is chemo. Burn those bitches away.!
| Hateful
| 0 | NIv2 | task333_hateeval_classification_hate_en | fs_opt | [
-0.28565943241119385,
0.11030030995607376,
0.6865274906158447,
0.852726399898529,
-0.20354561507701874,
-1.0748963356018066,
0.6906594038009644,
0.9816182851791382,
0.609460175037384,
0.5086345672607422,
-0.1454584002494812,
0.1831151247024536,
-0.27752944827079773,
-0.5844132900238037,
... |
Detailed Instructions: 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.
Problem:What is the designation hierarchy in Sapient Nitro in Gurgaon?
Solution: | What is the designation hierarchy in Sapient Global Markets in Gurgaon? | 8 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
-0.8004809617996216,
-0.04123896360397339,
1.0880053043365479,
-0.27974414825439453,
-0.16085049510002136,
-1.221503734588623,
0.8752142190933228,
0.07340868562459946,
-0.06211293861269951,
0.1427188217639923,
-0.09490294754505157,
-0.23435021936893463,
-0.8620865345001221,
0.4082998037338... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
Input: Consider Input: 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
Output: look opposite right thrice and look right
Input: Consider Input: I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_LOOK
Output: look left after run around left
Input: Consider Input: I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT
| Output: walk opposite left twice and turn around right thrice
| 2 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.5778131484985352,
0.6628919839859009,
-0.5323818922042847,
0.11518746614456177,
0.03383238986134529,
0.17134734988212585,
-0.038851454854011536,
0.7708945870399475,
-0.15108367800712585,
-0.018580153584480286,
-0.6984370946884155,
-0.3421925902366638,
-0.6355166435241699,
-0.036104656755... |
In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inversion" based on your judgment.
Example: He knew it , and he deserved no answer .
Example solution: Inversion
Example explanation: "He knew it" and "he deserved no answer" have been inverted.
Problem: Dawson put a massive arm in front of him , but Jason started to follow me .
| Solution: Inversion | 5 | NIv2 | task516_senteval_conjoints_inversion | fs_opt | [
0.037762440741062164,
0.5413296222686768,
0.6493908762931824,
0.3348187506198883,
0.2129611074924469,
-0.24828964471817017,
0.2949802279472351,
0.7319656014442444,
-0.14679932594299316,
0.06202031672000885,
-0.7989653944969177,
-0.6114245653152466,
-1.2021970748901367,
-0.46373653411865234... |
Instructions: In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Input: Sentence1: Fancy is the name of Sharon's miniature schnauzer. Sentence2: Fancy turned 14 Year's old yesterday. Sentence3: Schnauzers usually don't live that long. Sentence4: Sharon feels lucky to have had Fancy since she was a puppy.
Output: | Sharon knew her time with Fancy was short. | 3 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.3628641963005066,
1.4472087621688843,
0.07414393126964569,
-0.8862308263778687,
-0.32714706659317017,
0.08528164774179459,
0.4912091791629791,
0.05614742636680603,
0.3282041549682617,
-0.15946128964424133,
-0.3197786211967468,
0.44482091069221497,
-0.6114681959152222,
0.0519334785640239... |
Definition: In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
Input: " The barbs are sharp, " I warn her.
Output: | Present | 2 | NIv2 | task429_senteval_tense | zs_opt | [
-0.3681742548942566,
0.42675113677978516,
0.21748977899551392,
0.4922904372215271,
0.23949399590492249,
-0.20589624345302582,
0.8612322807312012,
0.8569893836975098,
0.21902583539485931,
0.11755995452404022,
-0.675541877746582,
-0.15349069237709045,
-0.5234262943267822,
-0.0631995946168899... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Tweet: Check Out These Creepy Ghost Sightings + More [Link] Feel free to Re-Tweet Question: is it a negative tweet?
Output: | no | 1 | NIv2 | task196_sentiment140_answer_generation | zs_opt | [
-1.5281227827072144,
0.272231787443161,
0.8133382201194763,
0.559039831161499,
0.2307327687740326,
-1.2195196151733398,
0.035686150193214417,
0.7283212542533875,
0.5942742824554443,
0.3193768858909607,
-0.3365533947944641,
-0.2783837616443634,
-0.3456560969352722,
-0.31325653195381165,
-... |
Given the task definition, example input & output, solve the new input case.
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 happens before the Tail or not. 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.
Example: Head: PersonX swims at the local pool<sep>Tail: PersonX learns a new way of swimming
Output: Yes
This is a good example. The Head happens before the Tail.
New input case for you: Head: PersonX accomplishes PersonY's objectives<sep>Tail: to congratulate PersonY
Output: | No | 1 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.12656477093696594,
0.2581672668457031,
0.19559107720851898,
-0.03784541040658951,
-0.4187248945236206,
-0.4737911820411682,
0.9104125499725342,
0.3472785949707031,
-0.4865665137767792,
-0.4798088073730469,
-0.19672630727291107,
-0.9419491291046143,
-0.3792365491390228,
0.0849808305501937... |
Detailed Instructions: In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Q: 3, 4, ['5483', 'k', '65', 'b', 'W', 's', '9401', '4349', 'g', 'o', 'k', '6993', '8397', '2123', 'a', 'O', 'I', '1553']
A: | 65, 9401, k, a | 9 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
0.4269370436668396,
0.3402376174926758,
-0.9363582730293274,
-1.063711166381836,
-0.6620051264762878,
-0.4769604802131653,
0.8408671021461487,
-0.4472353160381317,
-0.13444450497627258,
-0.02420375868678093,
-0.6056978702545166,
-0.3496242165565491,
0.2769876718521118,
0.3055896461009979,
... |
Instructions: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found directly from the passage.
Input: Passage: My daughter and I wanted to watch a movie after dinner , but there was nothing good on TV . We decided to go and rent a movie . We drove to a nearby store that had a movie rental box . We looked through all of the movies that were available . My daughter and I finally decided that we wanted to watch a comedy movie . She selected a movie that had recently been in the theaters . The price to rent the movie appeared on the screen . The machine recorded the information , then told me to remove my card . I took my card and receipt . The movie DVD came out of the machine . Question: What did the daughter pick up? Option1: the receipt Option2: a comedy movie
Output: | a comedy movie | 3 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
0.12272478640079498,
0.6864620447158813,
-0.6211870908737183,
0.16528554260730743,
-0.4374034106731415,
0.023802751675248146,
0.3794235587120056,
0.8777515292167664,
0.8014324307441711,
-0.14520931243896484,
0.8542249202728271,
-0.5208050012588501,
-0.4885757565498352,
0.09360659122467041,... |
Detailed Instructions: 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
See one example below:
Problem: Who were the builders of the mosque in Herat with fire temples ?
, Word: Who
, POS tag: IN
Solution: False
Explanation: This is a good example. POS tag of who should be WP(Wh-pronoun), and not IN(Preposition).
Problem: How many inhabitants are in the district where a station is that is located at the intersection of Eduardo Dato and Cruzcampo avenues ?
, Word: district
, POS tag: NN
Solution: | True | 4 | NIv2 | task346_hybridqa_classification | fs_opt | [
0.5977034568786621,
0.12722639739513397,
-0.20443663001060486,
0.1291113793849945,
0.053362272679805756,
-1.003913402557373,
1.0099971294403076,
0.5534161925315857,
-0.3657408058643341,
-0.16778893768787384,
-0.5153199434280396,
0.15580490231513977,
0.03197255730628967,
0.00574996508657932... |
Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Input: Quando se apresenta isso a pessoas que não são versadas nesses aspectos da ciência, elas tornam-se salamandras, apáticas, ao sol do meio-dia. É como falar sobre a tangente do ângulo visível, certo?
Output: | Quando li presentate a persone non molto esperte in questi aspetti della scienza, diventano come lucertole al sole di mezzogiorno. È come parlare della tangente all'angolo di visuale. | 3 | NIv2 | task1280_ted_translation_pt_it | zs_opt | [
-0.6372225284576416,
0.6960583925247192,
0.03524751216173172,
0.20940342545509338,
-0.8523932695388794,
-0.8142849802970886,
0.28501641750335693,
0.5267431735992432,
-0.08812116086483002,
-0.027567293494939804,
-0.577804684638977,
0.013260673731565475,
0.1402214616537094,
0.265256583690643... |
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Q: Question: Were the 10th and 14th Flotilla made in the same year? Passage 1:Quesnel was born on 18 January 1765 in Saint-Germain-en-Laye which is now part of Yvelines department near Paris. He enlisted in the 25th Infantry Regiment in the French Royal Army on 18 July 1782. He was promoted to corporal on 18 September 1783, sergeant on 10 October 1784, and farrier on 7 July 1786. After the outbreak of the French Revolution he advanced in rank to sergeant major on 12 September 1789 and sous lieutenant on 15 September 1791. After this, his promotions followed with dizzying swiftness. He became a lieutenant of grenadiers on 19 April 1792 and captain on 1 May of the same year. Promotion to adjutant general chef de bataillon came on 15 May 1793 and adjutant general chef de brigade on 30 September 1793. He became a general of brigade on 26 December 1793.
Passage 2:The Allied force was the British Mediterranean fleet, consisting of the aircraft carrier HMS Formidable and the battleships , , and Warspite. The main fleet was accompanied by the 10th Destroyer Flotilla ( and , and , commanded by Commander "Hec" Waller, RAN), and the 14th Destroyer Flotilla (, , , and , commanded by Philip Mack); also present were and . Force B, under Admiral Sir Henry Pridham-Wippell, consisted of the British light cruisers , , and , the Australian light cruiser , and the British destroyers , , and . The Australian had returned to Alexandria. Allied warships attached to convoys were available: , , and waited in the Kithira Channel and , , , and and were nearby.
Passage 3:White Serbia (; Sorbian: Biеło Srbsko), called also Boiki (; Sorbian: Boika), is the name applied to the assumed homeland of the White Serbs, a tribal subgroup of Wends, who were the westernmost group of Early Slavs. They are the ancestors of the modern Serbs and Sorbs. While White Serbia is not explicitly mentioned, Boiki is mentioned in De Administrando Imperio, a 10th-century work by Byzantine Emperor Constantine VII (r. 913–959). According to it the "White Serbs" lived on the "other side of Turkey" (i.e. Hungary), in the area that they called "Boiki" (Bohemia). The area adjacent to it was known as White Croatia, where the White Croats trace their origin.
A: | 2 | 4 | NIv2 | task230_iirc_passage_classification | zs_opt | [
0.6710405349731445,
0.5027658939361572,
-0.878137469291687,
-0.43762698769569397,
0.5351083278656006,
-0.3294227421283722,
1.031367301940918,
0.7988330721855164,
0.046169862151145935,
0.4936419725418091,
0.15366530418395996,
0.7670133113861084,
-0.6300114393234253,
-0.34884417057037354,
... |
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: [-37, 66, 75, -29, 62, -83, -41, -7]
A: | 4 | 4 | NIv2 | task1445_closest_integers | zs_opt | [
-0.4262845516204834,
0.8523399829864502,
0.165159672498703,
-0.2614803612232208,
-0.047390177845954895,
-0.5402703285217285,
0.8702236413955688,
-0.045247633010149,
0.9251237511634827,
-0.26033636927604675,
-0.06369975209236145,
-0.13979549705982208,
-0.6389631628990173,
0.1290735900402069... |
A question is presented to you in this task, and your job is to write a potentially correct answer.
where did elvis presley live before he died? | Memphis | 0 | NIv2 | task1412_web_questions_question_answering | zs_opt | [
0.018552672117948532,
0.7386228442192078,
-0.4899716377258301,
-0.3387032151222229,
-0.06961216777563095,
-0.7336717247962952,
-0.3386448621749878,
-0.3212491273880005,
0.4163086414337158,
0.22219300270080566,
0.19638758897781372,
1.0202252864837646,
-0.24791648983955383,
-0.02443601004779... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Amsterdam_Airport_Schiphol | runwayName | "09/27 'Buitenveldertbaan'"
Solution: Amsterdam Airport Schipol runway name is 09/27 Buitenvelderbaan.
Why? The simplest form of input is a single triple. Here the text describes the relationship in natural language.
New input: Administrative_Science_Quarterly | abbreviation | "Admin. Sci. Q."
Administrative_Science_Quarterly | ISSN_number | "0001-8392"
Administrative_Science_Quarterly | LCCN_number | 57059226
Administrative_Science_Quarterly | publisher | SAGE_Publications
Solution: | Administrative Society Quarterly, abbreviated to Admin. Sci. Q, is published by SAGE Publications. Their ISSN number is 0001-8392 and the LLCN number is 57059226. | 0 | NIv2 | task1728_web_nlg_data_to_text | fs_opt | [
-1.2290505170822144,
0.6100485324859619,
-0.5725500583648682,
-0.7412326335906982,
-0.4824037253856659,
0.10035787522792816,
0.8036178946495056,
0.027409788221120834,
-0.02085517719388008,
0.17890939116477966,
-0.9640028476715088,
0.4959981441497803,
-0.5674625635147095,
-0.017331650480628... |
Teacher: In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Teacher: Now, understand the problem? If you are still confused, see the following example:
For many Brazilians, Michel Temer's ascension to president was surprising. But as the first Brazilian president to have charges brought against him while in office, his arrest is less unexpected.
Solution: Michel Temer: Brazil's arrested former president
Reason: The output is a relevant title for the given passage as it highlights the main crux of the given text.
Now, solve this instance: The boss of Nissan has warned that Brexit uncertainty and possible tariffs could damage investment in the UK's biggest car factory.
Student: | Nissan boss warns on UK investment | 2 | NIv2 | task1358_xlsum_title_generation | fs_opt | [
-0.47600820660591125,
0.5506008863449097,
0.12384973466396332,
-0.19977670907974243,
-0.202294260263443,
-0.08623641729354858,
-0.2988535165786743,
0.818283200263977,
-0.12288448214530945,
0.8571128845214844,
-0.39828264713287354,
0.39174461364746094,
-0.49245238304138184,
-0.1873344928026... |
instruction:
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
question:
Sentence: 'President elect Barack Obamas pick for CIA chief , Leon Panetta , does not belong to the intelligence community , but is a professional manager , just what the CIA might need .', Argument/Subject 1: 'obama', Argument/Subject 2: 'president'
answer:
be elect
question:
Sentence: 'Jesus Christ is just as much the Only Begotten Son of God as Issac was the only begotten son of Abraham .', Argument/Subject 1: 'jesus', Argument/Subject 2: 'abraham'
answer:
be son of
question:
Sentence: 'At the Legislative Council meeting on March 12 , I announced that the Government would conduct a comprehensive review of all the existing civil service allowances with a view to bringing the payment criteria for these allowances in line with present day circumstances and to reduce the Government 's expenditure on allowances .', Argument/Subject 1: 'council', Argument/Subject 2: 'march'
answer:
| meet in
| 9 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
-0.16195252537727356,
-0.01695399358868599,
-0.36864835023880005,
0.49610626697540283,
-0.1523836851119995,
-1.2351515293121338,
0.7258261442184448,
0.7595973610877991,
0.07173728197813034,
0.7373286485671997,
-0.16320112347602844,
0.0764782577753067,
-0.30647265911102295,
-0.0374733693897... |
In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
Let me give you an example: Coming from a xenophobic race that possesses the unique ability to pass among other species and chooses not to, the bounty hunter is a walking contradiction.
The answer to this example can be: Singular
Here is why: "the bounty hunter" is the subject of the sentence which is singular.
OK. solve this:
The cousins were very upset when they saw this scene.
Answer: | Plural | 8 | NIv2 | task430_senteval_subject_count | fs_opt | [
-1.2253459692001343,
0.5133593082427979,
-0.062450140714645386,
-0.19797447323799133,
-0.6779589653015137,
-0.3727096915245056,
0.6096832752227783,
0.2267765998840332,
-0.12284161150455475,
-0.6506412029266357,
-0.7365682125091553,
-0.05619964003562927,
-0.5274211168289185,
0.0465001277625... |
TASK DEFINITION: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surprise', 'happiness', 'sadness', 'anger', 'disgust'.
PROBLEM: Person1: Hello , I need to register for a class .
Person2: What class are you trying to take ?
Person1: I want to take a Psychology class .
Person2: Well , there are only two classes open .
Person1: Can you tell me what days the classes are on ?
Person2: One class is on Tuesday and Thursday from 2 p . m . to 4 .
Person1: And the other class ?
Person2: That class is from ten to twelve on Monday and Wednesday .
Person1: Are you sure these are the only open classes ?
Person2: Yes , I am sure .
Person1: Okay , sign me up for the class on Monday and Wednesday .
Person2: Very well then .
SOLUTION: No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion
PROBLEM: Person1: I want to buy two tickets for tonight's concert .
Person2: Sure . How do you like your seats ?
Person1: Ordinary one , please .
Person2: Ok , here are your tickets in Row 13 .
Person1: I think they are too far from the stage . I want two in row 6 .
Person2: That's fine . But you have to pay another $ 10 .
SOLUTION: No emotion,No emotion,No emotion,happiness,No emotion,happiness
PROBLEM: Person1: Are you ready , honey ?
Person2: Sorry , not yet ! can you help me to select the dress ? i don , t what i should wear to fit thinner party .
Person1: Just dress formal .
Person2: How about transom ?
Person1: It is too loud , we ’ ll handle some official business first before the dinner .
Person2: Oh , i nearly forget it .
Person1: You can put on your white shoes , it fits every occasion .
SOLUTION: | No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion
| 8 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.8283369541168213,
-0.11153216660022736,
-0.31695157289505005,
-0.007873030379414558,
-0.04513844847679138,
-0.32936859130859375,
0.9168515205383301,
0.15172499418258667,
-0.08749281615018845,
0.04946761205792427,
0.17409609258174896,
-0.36222511529922485,
-0.28262725472450256,
0.24921898... |
Instructions: In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as non-hateful. Answer "hateful" or "Non-hateful". Note that the URLs in the text have been replaced with [Link].
Input: Post: @la_patilla Desgraciado hijo de perra cantante panameño ojalá que un venezolano té de lo que te mereces
Output: | Non-hateful | 3 | NIv2 | task334_hateeval_classification_hate_es | zs_opt | [
-0.2969292998313904,
0.5751322507858276,
0.10776414722204208,
1.0703070163726807,
-0.41859471797943115,
-0.48433399200439453,
0.6859912872314453,
1.6159203052520752,
0.2303737998008728,
0.5138648748397827,
-0.5079555511474609,
0.603111982345581,
-0.3717791736125946,
-0.7331790328025818,
... |
In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the number of sentences in the correct order, such as '23415'.
Q: Sentence1: When it got there he was shaking. Sentence2: Thankfully he ended up doing well. Sentence3: He came in second place. Sentence4: He was very nervous. Sentence5: Fred had his first karate tournament yesterday.
A: | 34521 | 4 | NIv2 | task300_storycloze_order_generation | zs_opt | [
-0.11032923310995102,
0.5591108202934265,
0.13731473684310913,
-0.9181476831436157,
-0.0024623675271868706,
-0.3987849950790405,
0.24244588613510132,
0.6358270645141602,
-0.4151429831981659,
0.08985687047243118,
-1.041046142578125,
-0.29575395584106445,
-1.1414110660552979,
-0.149431869387... |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
--------
Question: Lakisha found herself in a hilarious situation.
Answer: female
Question: Latisha feels miserable.
Answer: female
Question: I made Adam feel devastated.
Answer: | male
| 7 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-0.4171149730682373,
0.06711013615131378,
-0.19953188300132751,
-1.6106107234954834,
-0.5489864349365234,
-0.4514439105987549,
0.5582298040390015,
0.14163854718208313,
0.7481406927108765,
0.40730446577072144,
-0.936082661151886,
0.03502155840396881,
-0.911492109298706,
-0.12934723496437073... |
Teacher:In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Teacher: Now, understand the problem? Solve this instance: Passage: Eddie and the Cruisers -- Eddie and the Cruisers is a 1983 American film directed by Martin Davidson with the screenplay written by the director and Arlene Davidson, based on the novel by P.F. Kluge. A sequel, Eddie and the Cruisers II: Eddie Lives!, followed in 1989.
Question: is eddie and the cruisers a real story
Student: | 0 | 6 | NIv2 | task1661_super_glue_classification | zs_opt | [
-0.3493397831916809,
-0.019390111789107323,
0.1162542849779129,
-0.3304983973503113,
0.08413738012313843,
-0.6554431319236755,
1.1951181888580322,
0.2531725764274597,
-0.009607796557247639,
0.0913999080657959,
-0.3342152535915375,
0.20907406508922577,
-0.6028817296028137,
-0.53699028491973... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
[EX Q]: Veamos el programa de Chris durante el resto del show. ¿Bien?
[EX A]: Vamos ver como é que o Chris reage durante o resto do evento.
[EX Q]: En Twitter empezamos a burlarnos del estudio, y marcó algunos titulares por todo el mundo.
[EX A]: Começámos um tópico no Twitter, ridicularizando o estudo que fez manchetes em todo o mundo.
[EX Q]: Entonces algo muy profundo cambió en mí.
[EX A]: | Então algo em mim mudou muito profundamente.
| 6 | NIv2 | task1104_ted_translation_es_pt | fs_opt | [
-1.1868945360183716,
0.5720314979553223,
0.06260194629430771,
-0.9508364200592041,
-0.7098444700241089,
-0.8892173767089844,
-0.5470672845840454,
0.915928065776825,
0.6741812229156494,
-0.10352835804224014,
-0.38922950625419617,
0.16306160390377045,
-0.312513530254364,
0.421093225479126,
... |
instruction:
In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096'. If an integer is exactly in equally far from two different powers of 2 then you should output the larger power of 2. The output should be a list of integers that is the result of rounding each integer int the input list to the closest power of 2. The output should include a '[' to denote the start of the output list and ']' to denote the end of the output list.
question:
[28, 1786, 2539, 1063, 19, 63, 2, 184, 1394, 4610, 3612, 22, 34, 3, 221, 431]
answer:
[32, 2048, 2048, 1024, 16, 64, 2, 128, 1024, 4096, 4096, 16, 32, 4, 256, 512]
question:
[21, 1056, 2408, 4999, 20, 56, 4, 62, 496, 3292, 3804, 7, 57, 4, 48, 459]
answer:
[16, 1024, 2048, 4096, 16, 64, 4, 64, 512, 4096, 4096, 8, 64, 4, 64, 512]
question:
[56, 105, 2669]
answer:
| [64, 128, 2048]
| 9 | NIv2 | task1444_round_power_of_two | fs_opt | [
-0.042798154056072235,
0.942122220993042,
-0.5082741975784302,
-0.06492288410663605,
-0.3294743001461029,
-0.004815733525902033,
0.5165495872497559,
0.47730350494384766,
-0.45516014099121094,
0.12191244214773178,
-0.712948203086853,
0.3308837115764618,
-0.061509888619184494,
-0.44027894735... |
Teacher: In this task, you are given a question. You have to answer the question based on your information.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Roman Yakub won first price in a Choral Composition Competition at a liberal arts college founded by who?
Solution: William Egbert
Reason: This is a good example, and output correctly answers the question.
Now, solve this instance: Which author, Ian Fleming or Mario Puzo, is known for his crime novels about the Mafia?
Student: | Mario Gianluigi Puzo | 2 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | fs_opt | [
-0.05826439708471298,
0.06108035892248154,
0.3233572244644165,
-0.33859968185424805,
-0.06944751739501953,
0.17886988818645477,
0.18371766805648804,
-0.021823788061738014,
-0.10903807729482651,
0.2255963832139969,
0.012598579749464989,
0.21307265758514404,
-1.1191374063491821,
-0.798842906... |
Teacher:Given a premise as input, generate a hypothesis as output that follows the premise based on the following rules: (i) The hypothesis should be derived from the premise. (ii) The hypothesis must not contain any information that is not in the premise. (iii) The hypothesis should not contradict or have a suggestion that is negative to the premise.
Teacher: Now, understand the problem? Solve this instance: If the four libraries that donate hate Marcus, it's okay.
Student: | There are exactly four libraries that donate. | 6 | NIv2 | task1515_imppres_longtextgeneration | zs_opt | [
-0.5118271112442017,
0.7627952694892883,
-0.06055117025971413,
0.23885902762413025,
-0.26168861985206604,
-0.7090643644332886,
0.4491502344608307,
0.14250418543815613,
0.3643820583820343,
-0.09528709948062897,
-0.8242964744567871,
-0.022443901747465134,
-0.3355921506881714,
-0.697681725025... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Input: Consider Input: Na całym świecie, z wyjątkiem Ameryki Północnej, skracają się godziny pracy.
Output: ברוב העולם — צפון אמריקה, כידוע, חריגה בנושא הזה — כמות שעות העבודה החלה לרדת.
Input: Consider Input: Dzieci ich nauczyły.
Output: הילדים לימדו אותם.
Input: Consider Input: (Śmiech) Ale 9 na 10 dotyczyło trzęsienia.
| Output: [צחוק] אבל 9 מתוך 10 בשעות הראשונות.
| 2 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.6080169677734375,
0.8219914436340332,
-0.22206774353981018,
0.4008554518222809,
-0.774154782295227,
-0.41708484292030334,
0.3897862434387207,
-0.2121845781803131,
0.9653143882751465,
-0.29538288712501526,
-0.8058466911315918,
0.20441225171089172,
-0.8172590732574463,
-0.1279647201299667... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
One example: Es una lucha interna, una lucha en contra del vicio, el pecado, la tentación, el deseo, la avaricia.
Solution is here: それは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘ですそれは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘です
Explanation: The Spanish sentence is correctly translated into Japanese, because the meaning is preserved.
Now, solve this: Pero pienso que cuando dejas de moverte es cuando puedes ver hacia dónde vas.
Solution: | でも立ち止まってこそー行く方向が分かるのだと思います | 6 | NIv2 | task1227_ted_translation_es_ja | fs_opt | [
-0.2939661145210266,
0.2732972800731659,
-0.22602060437202454,
-0.21110406517982483,
-0.5235692262649536,
0.7477701902389526,
-0.04823090136051178,
0.2593280076980591,
-0.06191917136311531,
-0.6921015381813049,
-0.4105287194252014,
-0.4098201394081116,
-0.9896436929702759,
-0.2725211679935... |
Instructions: In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction. Sentences belonging to 'face-to-face' genres relate to conversations or dialogues, 'government' encompasses information released from public government websites, 'letters' refers to any written work for philanthropic fundraising, '9/11' relates to information pertaining to the 9/11 attacks, 'oup' includes non-fiction works on the textile industry and child development, 'slate' refers to any cultural topic that appears in the slate magazine, 'telephone' includes telephonic dialogue, 'travel' deals with information in travel guides, 'verbatim' includes short posts regarding linguistics, and 'fiction' includes popular works of fiction like 'The Secret Adversary' etc.
Input: Sentence 1: Therefore, prompt access to all records and other information associated with these activities is needed for the effective and efficient performance of GAO's work. Sentence 2: I was very eager about the war, and anxious to help. Genre: government.
Output: | N | 3 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-1.381671667098999,
0.37099093198776245,
0.022453758865594864,
-0.5682474374771118,
-0.1022568792104721,
0.3836343288421631,
0.26088452339172363,
0.573790967464447,
0.24400673806667328,
-0.03649062290787697,
-0.6839566826820374,
-0.09662611782550812,
-0.7742069363594055,
-0.253870785236358... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
One example is below.
Q: Afinal de contas elas é que decidem, e decidiram mesmo.
A: אחרי הכל, הם החליטו, והם עשו,
Rationale: The Portugese sentence is correctly translated into Hebrew, because the meaning is preserved.
Q: Apesar de falar sobre o trabalho no meu laboratório, este trabalho é inspirado e derivado de um campo.
A: | ולמרות שאני הולכת לדבר על עבודה במעבדה שלי, העבודה היא בהשראתה ובזכותה של עבודת שטח. | 9 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
-0.0904591828584671,
1.1076903343200684,
0.15226097404956818,
0.02087588422000408,
-0.4455585777759552,
-0.9512993097305298,
0.4189645051956177,
0.10739924013614655,
0.9007363319396973,
-0.22535929083824158,
-0.8143630027770996,
0.45237472653388977,
-0.5361768007278442,
-0.0422031842172145... |
Given the task definition and input, reply with output. Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second entity) is in a part-of relationship with its holonym (i.e., first entity).
Entity 1: staghorn sumac
Entity 2: leave
| yes | 5 | NIv2 | task472_haspart_classification | zs_opt | [
-0.9397612810134888,
0.5147994756698608,
0.5046771764755249,
-0.3320458233356476,
0.04255552589893341,
-0.5739243030548096,
0.13054463267326355,
0.4205031991004944,
0.6693248152732849,
-0.7114133834838867,
-0.4290581941604614,
0.16007211804389954,
-0.40970706939697266,
0.18296979367733002,... |
Given the task definition and input, reply with output. In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Enteropathogenic Escherichia coli (EPEC) is a common cause of diarrhea in children from developing countries. Intimate adhesion of the bacteria to intestinal cells occurs via binding of the adhesin intimin to the TIR receptor exposed on cell surfaces. Here, Lactobacillus casei expressing a fragment of -intimin (L. casei-Int cv ) was tested as mucosal vaccines in mice against intestinal colonization with the murine pathogen Citrobacter rodentium. Oral or sublingual immunization of C57BL/6 mice with L. casei-Int cv induced anti-Int cv IgA in feces but no IgG in sera. Conversely, anti-Int cv IgG was induced in the sera of mice after sublingual immunization with purified Int cv . All vaccines were able to decrease C. rodentium recovery from feces. However, this reduction was more evident and sustained over time in mice immunized with L. casei-Int cv by the sublingual route. These mice also displayed an increase in interleukin 6 (IL-6) and gamma interferon (IFN-␥) secretion by spleen cells 10 days after infection. Additionally, oral or sublingual immunization of C3H/HePas mice, which are highly susceptible to C. rodentium infection, with L. casei-Int cv induced anti-Int cv antibodies and significantly increased survival after challenge. Immunohistological analysis of colon sections revealed that C. rodentium was located in deep fractions of the tissue from C3H/HePas mice immunized with L. casei whereas superficial staining was observed in colon sections from mice immunized with L. casei-Int cv. The results indicate that vaccines composed of L. casei expressing intimin may represent a promising approach and that the C3H/HePas infection model with C. rodentium can be used to evaluate potential vaccines against EPEC.
| Immunization of Mice with Lactobacillus casei Expressing a Beta-Intimin Fragment Reduces Intestinal Colonization by Citrobacter rodentium ᰔ † | 5 | NIv2 | task1161_coda19_title_generation | zs_opt | [
0.2033289223909378,
0.4963497519493103,
0.035365618765354156,
0.2642907202243805,
0.036620430648326874,
-0.13001373410224915,
0.17632156610488892,
1.1349633932113647,
0.07282188534736633,
-0.14089758694171906,
0.013295749202370644,
0.34686505794525146,
-0.4614444077014923,
-0.0344941243529... |
Definition: In this task, you are given a question in Persian, and your task is to translate it into English.
Input: برخی از زیباترین خانه های جهان کدام هستند؟
Output: | What are some of the most beautiful houses in the world? | 2 | NIv2 | task653_parsinlu_fa_en_translation | zs_opt | [
-0.5339269638061523,
1.1827023029327393,
-0.1285325586795807,
0.0665963813662529,
-0.2319318950176239,
-0.07792925089597702,
0.18550318479537964,
0.12152975797653198,
0.3819383382797241,
0.6417770385742188,
-0.7740436792373657,
0.8720945119857788,
-0.35081538558006287,
0.39807334542274475,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
[1, 2, 3]
Solution: [0.167, 0.333, 0.500]
Why? The output list sums to 1.0 and has the same weight as the input 0.333 is twice as large as 0.167, .5 is 3 times as large as 0.167, and 0.5 is 1.5 times as large as 0.333. This is a good example.
New input: [136.397, 51.987, 88.043, 238.315, 220.475, 1.125, 74.452, 65.919, 38.279, 16.767]
Solution: | [0.146 0.056 0.094 0.256 0.237 0.001 0.08 0.071 0.041 0.018] | 0 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.14698554575443268,
0.44522687792778015,
-0.7151520252227783,
-0.5487239360809326,
0.3292439579963684,
0.26732808351516724,
0.6115614175796509,
0.19341395795345306,
0.1815813183784485,
0.16179384291172028,
-0.6333588361740112,
0.006921067368239164,
0.03460492938756943,
-0.132867753505706... |
Given the task definition and input, reply with output. Categorize the comment on the basis of insult. If the comment is insulting output Yes, otherwise output No.
Your statement "As our already byzantine tax code has gotten more complicated thanks to Obamacare..." makes me chuckle how every woe we have is blamed on Obamacare. Please tell me when you did your taxes this year, just what part was more complicated because of the Affordable Care Act?
| No | 5 | NIv2 | task1724_civil_comments_insult_classification | zs_opt | [
-0.5650807023048401,
0.5517431497573853,
0.3160631060600281,
0.3492206335067749,
-0.07287443429231644,
-0.49020785093307495,
0.42106160521507263,
1.0762529373168945,
0.9609553813934326,
0.9109930396080017,
-0.20868171751499176,
-0.03528591990470886,
-0.1825886219739914,
-0.3536933660507202... |
Instructions: The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replaced letter in a word e.g 'nicr' is a typo of the word 'nice'. You need to identify the typo in the given sentence. To do this, answer with the word containing the typo.
Input: A bunhc of school boys and their teachers at school
Output: | bunhc | 3 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.890851616859436,
0.4237483739852905,
-0.043588168919086456,
0.33347588777542114,
0.37457647919654846,
-0.8763233423233032,
0.7139366865158081,
-0.12114092707633972,
0.07061324268579483,
-0.1120838075876236,
0.1114603579044342,
-0.22293449938297272,
-0.4281945824623108,
-0.75600469112396... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Example input: A man is spreading shreded cheese on a pizza.
Example output: Un bărbat pune brânză mărunțită pe o pizza.
Example explanation: In the given translation process, the tense of both sentences, quantitative measures, entity name, the polarity of the sentence remains the same.
Q: People are sitting around dimly lit tables while smiling and laughing.
A: | Oameni stau în jurul meselor slab luminate în timp ce zâmbesc și râd. | 3 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-0.6574233770370483,
0.7691233158111572,
0.5250304937362671,
-0.724358320236206,
-0.2072393000125885,
-0.11864978075027466,
1.293783187866211,
0.7903656959533691,
1.0186185836791992,
-0.3219015598297119,
-0.12173517048358917,
0.963275671005249,
-0.37343060970306396,
0.01935621351003647,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
[Q]: Se eliminamos a pel, vostedes experimentan o tacto desa persoa na súa mente.
[A]: 皮膚がなければあなたは他者の触覚を自身の頭の中で経験します
[Q]: Esta é a chave para comprendermos o enorme poder da consciencia.
[A]: これが意識の大きな力を理解するカギとなります
[Q]: E dixeron, "" ¿Estaría vostede disposto a ter un depósito de residuos nucleares na súa comunidade? Sorprendentemente, o 50 por cento dos cidadáns dixeron que si.
[A]: | 「核廃棄物を引きうけてもよいか ？ 」と尋ねました信じられないことに５０ ％ の人がイエスと解答しました
| 5 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.7427798509597778,
0.5097399950027466,
0.15240469574928284,
-0.68510502576828,
-0.2017178237438202,
-1.867785930633545,
1.3908847570419312,
-0.170877605676651,
-0.16502657532691956,
-0.3162320554256439,
-0.14538025856018066,
0.2330135852098465,
-0.8325309157371521,
0.35494619607925415,
... |
Q: The provided file includes inquiries about restaurants in German, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
zeige mir alle von " alex smith " verfassten bewertungen über " chinese " restaurants an .
A: | show me all the of review written by " alex smith " about " chinese " restaurants . | 7 | NIv2 | task256_spl_translation_de_en | zs_opt | [
-0.46888259053230286,
0.542342483997345,
0.15985967218875885,
0.10599415004253387,
0.20244383811950684,
-0.08606278896331787,
0.6522403955459595,
0.5447913408279419,
-0.2438272386789322,
-0.05203317850828171,
0.6959134936332703,
0.34360814094543457,
-0.4796977639198303,
0.00761038810014724... |
instruction:
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
question:
Kiedy byłem na MIT komputer wielkości tej sali miał mniejszą moc niż wasze telefony komórkowe.
answer:
個人的な体験で言うと私がMITにいたときコンピュータはこのホールほどの大きさで計算能力は今の携帯電話より劣っていました
question:
A jeśli nie mówi się o indywidualnej relacji między nauczycielem a uczniem, to nie mówi się o tej rzeczywistości,
answer:
先生と生徒のつながりに触れていなければ現実的な話をしていません
question:
Nie jest to aż tak nierealne, w końcu ma to miejsce każdego dnia.
answer:
| これは日常からかけ離れた概念なのではなく実は地球上で日々起こっていることなのです
| 9 | NIv2 | task1257_ted_translation_pl_ja | fs_opt | [
-0.47339433431625366,
0.26850324869155884,
-0.6214240193367004,
-0.5229059457778931,
-0.3494899868965149,
-0.6851706504821777,
0.5373905897140503,
0.3013429641723633,
0.6535460948944092,
-0.22205215692520142,
-0.007959604263305664,
0.39920079708099365,
-0.5871407985687256,
0.51020109653472... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix' instead of 'one thousand seven hundred six'.
twothreeeightonefour
Output: | 23814 | 1 | NIv2 | task1443_string_to_number | zs_opt | [
-0.5723505616188049,
1.1336350440979004,
-0.566109299659729,
-0.5622531771659851,
-0.07453925907611847,
0.05730200931429863,
0.7816765308380127,
0.13589978218078613,
-0.17507264018058777,
-0.2846616506576538,
-0.8158840537071228,
0.08294066786766052,
-0.4662642478942871,
-0.738182306289672... |
Given the task definition and input, reply with output. In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences in order, such as '34' or '25'. The first digit refers to the sentence which should come first in the story.
Title: The Trip. Sentence 1: A man was feeling stressed at his job. Sentence 2: He arrived in Tokyo and took a cab to his hotel. Sentence 3: He put in for time off and bought a plane ticket to Japan. Sentence 4: He spent the next week seeing the city. Sentence 5: He felt more relaxed after he returned home.
| 32 | 5 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.4836936593055725,
0.14956793189048767,
-0.037481993436813354,
-0.1846136748790741,
0.22433824837207794,
0.05139418691396713,
0.4025990962982178,
0.34021344780921936,
-0.04914585500955582,
-0.13421685993671417,
-0.6126943826675415,
-0.15725889801979065,
-0.7593072652816772,
-0.0315376594... |
Detailed Instructions: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
See one example below:
Problem: In the beginning God created the heaven and the earth.
Solution: در ابتدا، خدا آسمانها و زمین را آفرید.
Explanation: This is a good example. The above sentence is correctly translated from English to Persian.
Problem: For on that day shall the priest make an atonement for you, to cleanse you, that ye may be clean from all your sins before the LORD.
Solution: | و این برای شما فریضه دائمی خواهد بود تابرای بنیاسرائیل از تمامی گناهان ایشان یک مرتبه هر سال کفاره شود.» پس چنانکه خداوندموسی را امر فرمود، همچنان بعمل آورد. | 4 | NIv2 | task655_bible_en_fa_translation | fs_opt | [
-0.09655901789665222,
1.4126242399215698,
-0.02658240497112274,
-0.24561895430088043,
-0.3436986207962036,
-0.9082435369491577,
0.9332966804504395,
0.7857507467269897,
0.7386449575424194,
0.5692248344421387,
-0.3133435845375061,
0.90717613697052,
-0.4462876319885254,
-0.1332719624042511,
... |
Definition: Given a paragraph, your job is to generate a question that can be answered from the passage. The answer to your question should be a single entity, person, time, etc. that can be extracted from the passage.
Input: The centre-left Australian Labor Party (ALP), the centre-right Liberal Party of Australia, the rural-based National Party of Australia, and the environmentalist Australian Greens are Victoria's main political parties. Traditionally, Labor is strongest in Melbourne's working class western and northern suburbs, and the regional cities of Ballarat, Bendigo and Geelong. The Liberals' main support lies in Melbourne's more affluent eastern and outer suburbs, and some rural and regional centres. The Nationals are strongest in Victoria's North Western and Eastern rural regional areas. The Greens, who won their first lower house seats in 2014, are strongest in inner Melbourne.
Output: | What political party is strongest in Melbourne's working class suburbs? | 2 | NIv2 | task1609_xquad_en_question_generation | zs_opt | [
-0.6112123131752014,
0.17229904234409332,
-0.17729347944259644,
-0.06069251522421837,
-0.3080560266971588,
-0.3668866753578186,
0.7528022527694702,
0.1356404423713684,
0.4958716630935669,
-0.1523292511701584,
-0.2797032594680786,
0.24801063537597656,
-0.1073991134762764,
0.1158235743641853... |
Q: In this task, you are given dvd 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.
Das war wohl nix... . Was wollte der Film eigentlich darstellen? Nach fast überwiegend positiven Kritiken, habe ich mir den Film (zum Glück nur) ausgeliehen. Über die Handlung ist ja schon genug geschrieben worden. Die Story dümpelte so daher. Schauspielerisch auch keine Glanzleistungen. Der Humor hat irgendwie nicht so richtig gezündet. Bei der Musik hatte ich den Eindruck, als gehöre sie nicht so richtig zum Film dazu. Es klang jedenfalls so aus meinem 5.1 Lautsprechersystem (...ist schon richtig eingestellt!). Die deutsche Syncronisation war auch sehr lieblos. Er war nicht richtig Drachenfilm (Dragonheart) nicht richtig Fantasy (Der Sternwanderer) und auch nicht so richtig Ritterfilm (Der erste Ritter). Auf die amateurhaften CGI-Effekte (taugte vielleicht für ein Computerspiel) gehe ich jetzt nicht weiter ein. Kindern mögen diese Feinheiten egal sein. Für einen Erwachsenen (der trotzdem seine Fantasie behalten hat), eher ein Reinfall. Der eine Stern ist für die Outtakes.
A: | NEG | 7 | NIv2 | task480_cls_german_dvd_classification | zs_opt | [
-0.4878289997577667,
0.41963785886764526,
-0.5349915623664856,
0.01721109077334404,
-0.2312854826450348,
-0.11085741966962814,
0.7680640816688538,
1.1549605131149292,
0.3601865768432617,
0.16440868377685547,
0.1348293423652649,
-0.10715209692716599,
-0.2948172688484192,
-0.5745898485183716... |
Given the task definition and input, reply with output. 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.
run left and turn opposite left twice
| I_TURN_LEFT I_RUN I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT | 5 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.28790706396102905,
0.665005624294281,
-0.25220412015914917,
0.44746023416519165,
0.02414151094853878,
-0.06675037741661072,
-0.29481518268585205,
0.5474075078964233,
-0.36565911769866943,
-0.1398051679134369,
-0.7957582473754883,
-0.43206703662872314,
-0.36347514390945435,
-0.29009544849... |
Q: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
و پروردگار تو [هرگز] ویرانگر شهرها نبوده است تا [پیشتر] در مرکز آنها پیامبرى برانگیزد که آیات ما را بر ایشان بخواند، و ما شهرها را -تا مردمشان ستمگر نباشند- ویرانکننده نبودهایم.
A: | But your Lord does not destroy habitations without having sent an apostle to their metropolis to read out Our commandments to them. We would never have destroyed cities if their inhabitants were not given to wickedness. | 7 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.3176742196083069,
1.2429941892623901,
0.3459804654121399,
-1.1351866722106934,
-0.688389003276825,
-0.9156989455223083,
0.82612144947052,
0.25412309169769287,
0.041366659104824066,
-0.2785971164703369,
-0.444428414106369,
1.2091619968414307,
-1.1068639755249023,
-0.2534595727920532,
0... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Ex Input:
What can you tell me about sports in Barbados?
Ex Output:
user
Ex Input:
Oklahoma has two courts of last resort, the state Supreme Court hears civil cases, while the state Court of Criminal Appeals hears criminal cases.
Ex Output:
assistant
Ex Input:
Hello, can you please tell me about Mizoram?
Ex Output:
| user
| 1 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
-0.2361437976360321,
0.22166261076927185,
-0.5988463163375854,
-0.49123987555503845,
-0.41059017181396484,
0.45160162448883057,
1.0025904178619385,
-0.3194885849952698,
0.6411327123641968,
-0.1421012282371521,
-0.5317208766937256,
-0.229417085647583,
-0.02561100758612156,
0.080555275082588... |
Definition: 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.
Input: Head: PersonX does not get the job<sep>Tail: To have graduated from college
Output: | Yes | 2 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.3295445442199707,
0.34288179874420166,
0.2742370069026947,
-0.42837443947792053,
-0.44367945194244385,
-0.5281987190246582,
1.150590419769287,
0.27386054396629333,
-0.46191734075546265,
-0.51744544506073,
-0.3179396390914917,
-0.47004786133766174,
-0.7703567147254944,
0.44497108459472656... |
Q: You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns instead of full names. As the stories are sometimes movie plots, they will contain actor names in parentheses. You should not use those names. Only use character names. Try to ask a question about all parts of the plot, not just the beginning.
A nameless narrator goes to Venice to find Juliana Bordereau, an old lover of Jeffrey Aspern, a famous and now dead American poet. The narrator presents himself to the old woman as a prospective lodger and is prepared to court her niece Miss Tita (renamed Miss Tina in later editions), a plain, somewhat naive spinster, in hopes of getting a look at some of Aspern's letters and other papers kept by Juliana. Miss Tita had denied the existence of any such papers in a letter to the narrator and his publishing partner, but he believes she was dissembling on instructions from Juliana. The narrator eventually discloses his intentions to Miss Tita, who promises to help him.
Later, Juliana offers to sell a portrait miniature of Aspern to the narrator for an exorbitant price. She doesn't mention Jeffrey Aspern's name, but the narrator still believes she possesses some of his letters. When the old woman falls ill, the narrator ventures into her room and gets caught by Juliana as he is about to rifle her desk for the letters. Juliana calls the narrator a "publishing scoundrel" and collapses. The narrator flees, and when he returns some days later, he discovers that Juliana has died. Miss Tita hints that he can have the Aspern letters if he marries her.
Again, the narrator flees. At first he feels he can never accept the proposal, but gradually he begins to change his mind. When he returns to see Miss Tita, she bids him farewell and tells him that she has burned all the letters one by one. The narrator never sees the precious papers, but he does send Miss Tita some money for the miniature portrait of Aspern that she gives him.
A: | Who has the letters from Jeffrey Aspern? | 7 | NIv2 | task405_narrativeqa_question_generation | zs_opt | [
0.4377933740615845,
0.20609982311725616,
-0.10669759660959244,
-0.01073794811964035,
0.5981703996658325,
-0.6882243156433105,
0.9141512513160706,
0.3848859369754791,
-0.015861736610531807,
-0.017042309045791626,
0.42109203338623047,
0.5493602752685547,
-0.9294707775115967,
0.58737063407897... |
In this task, given a sentence in the Burmese Language, your task is to convert it into the English language.
Q: နောက်ထပ် သတင်းအချက်အလက်များ သည် ၊ အချိန်တွေကြာလာသည် နှင့်အမျှ ၊ ပြည်သူတွေ ဆီမှ ခြားနားသော ရှုထောင့်များ နှင့် စိတ်ဝင်စားမှုများ နှင့်အတူ အလိုအလျောက် ထွက်ပေါ်လာ နိုင်ခြေ ရှိသည် ဟု ဂျူရယ်ဖာ က အလေးအနက်ထား ပြောကြားခဲ့သည် ။
A: Deulfer emphasised that more information is likely to emerge naturally, over time, from people with differing viewpoints and interests.
****
Q: လျှို့ဝှက် ဗလီ အကြောင်း ရိုက်ကူးနေ စဉ်တွင် ၊ လျှို့ဝှက် စေလွတ်ထားသော သတင်းထောက် တစ်ယောက် သည် အများပြည်သူ့ အမြင် တွင် “ အစွန်းမရောက်သူ နှင့် အဓိကပင်မ “ အဖြစ် ရှိနေသော အဓိကအရေးပါသော အဖွဲ့အစည်းများ က စီမံဆောင်ရွက်နေသော ဗလီများ ၌ ဟောပြောချက်များ ကို တက်ရောက်ခဲ့သည် - သို့သော် “ ဗြိတိသျှ လူ့အဖွဲ့အစည်း သို့ ပေါင်းစည်းမှု စိတ်ကူး ကို ရှုတ်ချသော တရားဟောဆရာများ “ ကို ရှာဖွေဖော်ထုတ် ရန် ဟု ယုံကြည်ကြသည် ။
A: While filming Undercover Mosque, a secret Dispatches reporter attended lectures at mosques run by key organisations whose public faces are presented as "moderate and mainstream" - but is believed to discover "preachers condemning the idea of integration into British society".
****
Q: “ တစ်ခုတည်းသော ထွက်ပေါက် ပိတ်တာ မြေပြိုခြင်း ကြောင့် ဖြစ်ကောင်းဖြစ်နိုင်ပါတယ် ” ဟု စီရှိုကာ က ပြောခဲ့သည် ။
A: | "The only exit is blocked, probably by a fall of ground," said Seshoka.
****
| 4 | NIv2 | task538_alt_translation_bu_en | fs_opt | [
-0.30589622259140015,
-0.15786664187908173,
0.26713645458221436,
0.4737173914909363,
0.031487200409173965,
-0.2874886989593506,
0.012522001750767231,
1.068061351776123,
-0.4051898121833801,
0.1243186742067337,
-0.3452150225639343,
0.2586129605770111,
-0.45870134234428406,
0.092831254005432... |
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: В музыкальном магазине вы, скорее всего, скрутите инструмент.
A: | Вы, вероятно, увидите инструмент в музыкальном магазине. | 4 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
-0.2651641070842743,
0.5855647325515747,
-0.7130054235458374,
-0.3323145806789398,
-0.23991627991199493,
-0.32846370339393616,
0.4086337983608246,
0.9180254936218262,
0.31618982553482056,
0.19845572113990784,
-0.6586441397666931,
-0.26240915060043335,
-0.6072366237640381,
0.391393959522247... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Let me give you an example: Egypt (similar results in Jordan)
The answer to this example can be: مصر (با نتایجی مشابه در اردن)
Here is why: This is a good example. The above sentence is correctly translated from English to Persian.
OK. solve this:
Riots erupted last week which affected the peaceful image of the town.
Answer: | شورش عظیم هفته گذشته چهره آرام شهر را خدشهدار کرد. | 8 | NIv2 | task663_global_voices_en_fa_translation | fs_opt | [
-0.3677012026309967,
0.9754606485366821,
-0.05178774148225784,
-1.083998680114746,
-0.8936459422111511,
-0.4317452311515808,
1.0167629718780518,
0.567315399646759,
0.12952302396297455,
-0.024828506633639336,
-0.6293045282363892,
1.2088370323181152,
-1.096347451210022,
-0.21433483064174652,... |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
One example: English sentence: Lionel Messi is the greatest football player of all time
Solution is here: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Explanation: The output exactly translates the sentence to it's somali equivalent. Even though the phrase 'greatest player of all times' is translated to 'greatest player ever', the meaning remains the same.
Now, solve this: English sentence: And you never killed a man, then We delivered you out of trouble and we have try you with some of the trials; then you lived several years among the residents of Madyan, then you come by the set time O Moses. "(QS Thaaha: 40)
Solution: | Ma kartaan inaad sintaan dilay nin, markaas waxaan idinka soo samatabbixiyey dhibaato oo ay leeyihiin waxaan idinku Imtixaami qaar ka mid ah oo ahaa jirrabyadii; . kadibna aad ku nooleyd dhowr sano ka mid ah dadka degan Madyan, markaas waxaad u timid markii set Muusow "(QS Thaaha: 40) | 6 | NIv2 | task446_opus_paracrawl_en_so_translation | fs_opt | [
0.013173138722777367,
0.6505982875823975,
-0.3304610848426819,
-0.7436984777450562,
0.1313340961933136,
-1.2037019729614258,
0.15562522411346436,
0.0392107218503952,
0.5266168117523193,
-0.0009570432594045997,
0.19208338856697083,
1.3814014196395874,
-1.1613340377807617,
-0.030648399144411... |
Detailed Instructions: You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
See one example below:
Problem: Although I did enjoy the food here, I was completely unimpressed (and slightly annoyed) by the overpriced margaritas. I ordered a platinum which contained \"fresh\" juice. It tasted like it had sprite in it, so I thought surely she gave me the wrong one. It turns out that \"fresh juice\" is really margarita mix on tap from the same gun as the sprite. I asked for something fresh to replace the horrible margarita and received a rocks glass with just muddled lime and a salted rim. I'm not sure it contained any tequila. Horrible! It's not that hard to make a fresh margarita!
Solution: 2 stars
Explanation: The writer has been annoyed in this place and has enjoyed the food. So, "2 stars" sounds reasonable for it.
Problem: Went on a Sunday around 3pm. At first it was slow, but when we were ready to box up and check out the bartender (our server too) was busy at the bar. Manager 1 was watching a football game on t.v. while his bartender was busy. Manager 1 sees and talks to manager 2 (must have been about the football game) manager 2 walks right in front of a t.v. and watches the football game. After manager 1 makes eye contact with me as my guest and I tried to flag them down. We get manager 2s attention and get boxes and change. For the food... it's what you expect from a chili's Applebees tgifridays type of place. Ordered ribeye medium rare(as any good steak should be cooked) to be served an uneven cooked ribeye. Some parts super rare. Some parts medium well. But again I have come to expect this level of cheffery from these types of restaurants. At least my beer was poured well.
Solution: | 2 stars | 4 | NIv2 | task1292_yelp_review_full_text_categorization | fs_opt | [
0.22202077507972717,
0.5940040349960327,
-0.8963046073913574,
0.23266363143920898,
0.4632965922355652,
-0.5705701112747192,
0.24934469163417816,
1.1620478630065918,
-0.0009774083737283945,
0.09931761771440506,
0.2647208571434021,
-0.5275202989578247,
-0.5193337798118591,
0.6198776364326477... |
Definition: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Input: Comment: You stole my thunder - I couldn't agree more. He will probably celebrate by getting smashed when he gets out.
Output: | Non-insult | 2 | NIv2 | task328_jigsaw_classification_insult | zs_opt | [
-0.6175822019577026,
0.9015990495681763,
0.32832443714141846,
0.2358711063861847,
0.0776560977101326,
-0.2014867067337036,
0.21145810186862946,
0.6071480512619019,
0.45914602279663086,
0.1497930884361267,
0.10614900290966034,
0.17563971877098083,
-0.9942875504493713,
-0.6472810506820679,
... |
Given a sentence in Japanese, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
[Q]: 別のシリーズがハバナでシンシナティレッズとボストンレッドソックスの間で演奏されました。
[A]: En La Habana, se jugó otra serie entre los Cincinnati Reds y los Boston Red Sox.
[Q]: Malhar Joshiを作者のWaman Gopal Joshiと混同しないでください。
[A]: Vaman Malhar Joshi no debe confundirse con el escritor Waman Gopal Joshi. Eran contemporáneos.
[Q]: 古い建物は高校になり、新しい建物は低校になりました。
[A]: | La antigua escuela de gramática se convirtió en la Escuela Superior, mientras que el nuevo edificio se convirtió en la Escuela Inferior.
| 5 | NIv2 | task816_pawsx_japanese_spanish_translation | fs_opt | [
-0.060470178723335266,
0.19964103400707245,
-0.6395226716995239,
-0.6023780107498169,
-0.12140597403049469,
-0.37414950132369995,
0.9071085453033447,
0.9095385074615479,
0.27013033628463745,
-0.8295445442199707,
-0.5301437377929688,
0.38472360372543335,
-0.35807228088378906,
-0.15639415383... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Q: الجهاز الحوفي في عمق الجزء الأيمن من الدماغ وهو يتعلّق بمعالجة المشاعر وعملية المكافأة. إذ يمنحك الشعور بالمكافأة عند عمل أشياء ممتعة ، تتضمّن المخاطرة
A: | System limbiczny położony jest głęboko w mózgu i ma udział przetwarzaniu emocji i poczucia satysfakcji z robienia zabawnych rzeczy, | 9 | NIv2 | task1107_ted_translation_ar_pl | zs_opt | [
-0.014863060787320137,
-0.3951799273490906,
-0.1739334762096405,
-0.7236466407775879,
-0.7564749121665955,
0.5780254006385803,
0.9610376954078674,
-0.006721687037497759,
0.9532630443572998,
-1.3028308153152466,
-0.8610111474990845,
0.194431334733963,
-0.39160701632499695,
0.334461957216262... |
Given the task definition and input, reply with output. In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
['955', 'q', 'h', 'G', 'L', '2243', '133', 'i', 'e', '8885', 'l', 'w', 'N', 'g', '9293', '4961', '4671', 'N', 'E', '1533', 'n', '403', 'x', 'd', 'p', '6627', 'K', 'Q', 'd', '6565', '885', 'T', '9059', '5515', '6677']
| 15 | 5 | NIv2 | task505_count_all_numerical_elements_in_list | zs_opt | [
-0.6162045001983643,
0.7158792018890381,
0.4729132354259491,
-0.9054678678512573,
-0.04557860270142555,
-0.31865471601486206,
0.5287084579467773,
-0.2630481719970703,
-0.6358185410499573,
0.2463112771511078,
-0.7123720645904541,
0.06405490636825562,
0.2085305154323578,
-0.2134600281715393,... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications of each category:
1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows
2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows
3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows
4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows
5. Comparative: Comparing two rows in the table, regarding their values in one column
6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows
7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows.
Here are the definitions of logical operators for understanding of command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
--------
Question: round_eq { avg { all_rows ; points } ; 42.91 }
Answer: aggregation
Question: most_eq { all_rows ; date ; january }
Answer: majority
Question: eq { hop { nth_argmax { all_rows ; crowd ; 2 } ; venue } ; punt road oval }
Answer: | ordinal
| 7 | NIv2 | task212_logic2text_classification | fs_opt | [
0.15832805633544922,
-0.31669193506240845,
-0.2743456959724426,
0.2940019965171814,
0.37020111083984375,
-0.5447395443916321,
0.8126516342163086,
0.6606208086013794,
0.33360329270362854,
-0.018361035734415054,
-0.14502257108688354,
0.07058050483465195,
-0.03315012902021408,
0.4862468242645... |
In this task, you will be presented with a question having multiple possible answers in Polish language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Example Input: Question: John nie lubił jeść hamburgera. To sprawiło, że poczuł co?
Options: A nudności B Zadowolenie C Smutny D śmierć E Ciesz się
Example Output: A
Example Input: Question: Czekając na to spotkanie, ludzie często czytają czasopisma.
Options: A Doktor B dworzec kolejowy C kiosek D Rynek E Tabela
Example Output: A
Example Input: Question: Z jakiego miejsca można wziąć aksamitny worek na sznurek pełen cennych kamieni?
Options: A dom towarowy B pralnia C sklep jubilerski D puszka na śmieci E bezpłatny sklep
Example Output: | C
| 3 | NIv2 | task1140_xcsr_pl_commonsense_mc_classification | fs_opt | [
0.2974531054496765,
0.7113776803016663,
-0.12298900634050369,
-0.19163748621940613,
-0.055103566497564316,
-0.7713879942893982,
1.0889736413955688,
-0.24068255722522736,
0.2218456268310547,
-0.02010120451450348,
-0.009669827297329903,
0.9575745463371277,
-0.17378011345863342,
-0.3738917112... |
A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
सम्मेलन का उद्देश्य विभिन्न मीडिया इकाइयों के अंतर्गत कार्य कर रहे भारतीय सूचना सेवा के अधिकारियों को अखिल भारतीय स्तर पर एक स्थान पर लाने के लिए एक मंच प्रदान करना है, जहां वे उभरते हुए संचार प्रतिमानों के बारे में चर्चा कर सकें। | വിവിധ മാധ്യമ യൂണിറ്റുകളില് പ്രവര്ത്തിക്കുന്ന ഇന്ത്യന് ഇന്ഫര്മേഷന് സര്വീസ് ഉദ്യോഗസ്ഥര്ക്ക് അഖിലേന്ത്യ തലത്തില് ഒത്തുകൂടുന്നതിനും വിവരവിനിമയ രംഗത്തെ ഉയര്ന്ന് വരുന്ന മേഖലകളെ കുറിച്ച് ചര്ച്ച ചെയ്യുന്നതിനുമുള്ള വേദി ഒരുക്കുകയാണ് സമ്മേളനത്തിന്റെ ലക്ഷ്യം. | 0 | NIv2 | task1017_pib_translation_hindi_malayalam | zs_opt | [
-0.11920454353094101,
-0.00575263099744916,
-0.22251905500888824,
-0.2627270817756653,
-0.24209348857402802,
-0.7011502981185913,
-0.03905102238059044,
-0.1522541344165802,
-0.11940093338489532,
0.011808575130999088,
-0.5175884962081909,
-0.03265714272856712,
-0.7391510009765625,
0.6952732... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" and "stern") which express contrasting attributes about the two persons. The answer to the first and the second sentence must be PersonX and PersonY, respectively. PersonX and PersonY should not be equally likely to fill the blank. For each sentence, 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 sentences. Avoid repeating the same style or phrase in twin sentences e.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that PersonX and PersonY have the same gender. In each sentence, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
Example input: Context word: upset.
Example output: Sentence 1: PersonX yelled at PersonY because _ was so upset about the news.
Sentence 2: PersonX comforted at PersonY because _ was so upset about the news.
Example explanation: As expected, two sentences contain mentions of PersonX and PersonY and they're quite similar. Their difference is in terms of trigger words ("yelled" and "comforted"), whcih result in them having different answers. As required by the instructions, the answer to sentence 1 and sentence 2 are PersonX and PersonY, respectively.
Q: Context Word: reins.
A: | Sentence 1: PersonX pulled the reins on her horse when PersonY walked in front of them; _ yelled out in anger.
Sentence 2: PersonX pulled the reins on her horse when PersonY walked in front of them; _ yelled out in fear. | 3 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.5018840432167053,
0.37084102630615234,
-0.2070832997560501,
-0.3622291386127472,
0.2752283811569214,
-0.5517405867576599,
0.7735283374786377,
1.0297818183898926,
0.012057735584676266,
-0.4372347593307495,
-0.5970714092254639,
0.03401058912277222,
-0.7833039164543152,
0.20051884651184082,... |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
One example is below.
Q: Sentence: 'breakfast and a glass of milk is on the table'. Remove all words of length '3' in the given sentence.
A: breakfast a glass of milk is on table
Rationale: Words 'and', 'the' are of length 3. So they are correctly removed.
Q: Sentence: 'the car is parked on the side of the road'. Remove all words of length '6' in the given sentence.
A: | the car is on the side of the road | 9 | NIv2 | task377_remove_words_of_given_length | fs_opt | [
0.4029097557067871,
0.3511642813682556,
0.11307266354560852,
-0.5869894027709961,
-0.10448741167783737,
-0.5332696437835693,
0.23915955424308777,
0.4590730667114258,
0.2704232931137085,
-0.49058839678764343,
-1.0347163677215576,
-0.5709747076034546,
-0.61310213804245,
-0.28421396017074585,... |
TASK DEFINITION: In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
PROBLEM: Bulgarian: Искане за снемане на парламентарен имунитет: вж. протокола, English: Agenda of the next sitting : see Minutes
SOLUTION: no
PROBLEM: Bulgarian: (La séance est ouverte à 9h00), English: 1.
SOLUTION: no
PROBLEM: Bulgarian: Внасяне на документи: вж. протоколи, English: Oral questions and written statements (submission): see Minutes
SOLUTION: | no
| 8 | NIv2 | task273_europarl_classification | fs_opt | [
-0.03600497543811798,
0.15508981049060822,
0.10639023780822754,
0.23815207183361053,
-0.09478721022605896,
-0.43098562955856323,
0.7976362705230713,
0.6718970537185669,
0.5431054830551147,
0.24201898276805878,
-0.048146508634090424,
0.886265754699707,
-0.49641668796539307,
0.32091623544692... |
Detailed Instructions: In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Problem:Swedish: Jag anser det inte nödvändigt att veteranbilar skall utgöra en del av direktivet.
English: I agree that there should be a fundamental review of EU policy on Belarus at the next Foreign Affairs Council.
Solution: | No | 8 | NIv2 | task314_europarl_sv-en_classification | zs_opt | [
-0.4866999089717865,
0.4765963554382324,
-0.24575378000736237,
0.43134286999702454,
0.07399030029773712,
-0.6068429946899414,
1.2738926410675049,
0.39465102553367615,
0.7041254043579102,
0.09807203710079193,
0.31296730041503906,
0.7339791059494019,
-0.3339928686618805,
0.25301745533943176,... |
instruction:
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
question:
Gujarati: વૂડ્સમાં મોટરસાયકલો ચલાવતી લોકોનું ઝાંખી ફોટો
English: A large Ryanair jet moving on a taxi way at the airport.
answer:
No
question:
Gujarati: એક ટેડી રીંછ પર હોલ્ડિંગ ponytails એક નાની છોકરી
English: A little girl in ponytails holding on to a teddy bear.
answer:
Yes
question:
Gujarati: તે એક વાહન ઉથલાવી દેવામાં આવી છે.
English: it is a scene of a crash with a vehicle overturned.
answer:
| Yes
| 9 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | fs_opt | [
-1.2222468852996826,
0.5908536911010742,
0.5945271253585815,
0.06804705411195755,
-0.1337663233280182,
-0.43796050548553467,
0.09734363853931427,
0.7943487763404846,
-0.14671486616134644,
-0.12505394220352173,
-0.48541200160980225,
0.3641805946826935,
-0.2199634313583374,
0.142416238784790... |
A text is given in Panjabi. Translate it from the Panjabi language to the Urdu language. The translation must not omit or add information to the original sentence.
Ex Input:
ਓਬੀਸੀ ਆਯੋਗ ਨੂੰ ਸਾਲਾਂ ਤੋਂ ਸੰਵਿਧਾਨਕ ਸਥਾਨ ਦੇਣ ਲਈ ਮੰਗ ਉਠ ਰਹੀ ਸੀ। ਇਸ ਵਾਰ ਸੰਸਦ ਨੇ ਪਿਛੜਿਆਂ, ਅਤਿ ਪਿਛੜਿਆਂ ਨੂੰ, ਉਸ ਆਯੋਗ ਨੂੰ ਸੰਵਿਧਾਨਕ ਦਰਜਾ ਦੇ ਕੇ , ਇੱਕ ਸੰਵਿਧਾਨਕ ਵਿਵਸਥਾ ਦੇ ਕੇ, ਉਨ੍ਹਾਂ ਦੇ ਹੱਕਾਂ ਦੀ ਰੱਖਿਆ ਕਰਨ ਦਾ ਪ੍ਰਯਤਨ ਕੀਤਾ ਹੈ।
Ex Output:
او بی سی سی کمیشن کو آئینی درجہ دینے کا مطالبہ کئی برسوں سے ہورہا تھا۔ اس بار پارلیمنٹ نے اس کمیشن کو آئینی درجہ دے کر کے ، اسے ایک آئینی شکل دے کر کے پسماندہ اور انتہائی پسماندہ طبقات کے حقوق کے تحفظ کی کوشش کی ہے۔
Ex Input:
ਟੈਕਸਟਾਈਲ ਮੰਤਰੀ
Ex Output:
ٹیکسٹائل کی وزیر
Ex Input:
ਵਰਤਮਾਨ ਪੋਰਟ ਤੇ ਏਅਰਪੋਰਟ ਦੇ ਆਧੁਨਿਕੀਕਰਨ ਦੇ ਨਾਲ ਨਵੇਂ ਪੋਰਟ ਅਤੇ ਏਅਰਪੋਰਟ ਦੀ ਸਥਾਪਨਾ ਵੀ ਸਾਡੇ ਏਜੇਂਡੇ ਵਿੱਚ ਹੈ।
Ex Output:
| موجودہ پورٹ اور ایئرپورٹ کی جدید کاری کے ساتھ نئی بندرگاہیں اور ہائی اڈوں کا قیام بھی ہمارے ایجنڈے میں ہے۔
| 1 | NIv2 | task1051_pib_translation_punjabi_urdu | fs_opt | [
0.24050305783748627,
0.345405250787735,
-0.6478705406188965,
0.12860102951526642,
0.2743627727031708,
-0.43332627415657043,
0.4091847538948059,
0.4857286214828491,
-0.041389644145965576,
0.6730043292045593,
-0.37849435210227966,
-0.47348326444625854,
0.3493575155735016,
-0.2212080955505371... |
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
Ex Input:
M: Hi, Natasha. I see you're going out for a run. You don't have to go to work today? W: I've started running to work instead of taking the bus. It's good for the environment. M: I drive to work. I keep fit at the gym. W: Well, running gives me a wonderful feeling of freedom-it's just what I need before sitting down in the office every day. M: Are you going to join in the big race next month? W: I'd like to. Are you going to take part in it? M: Oh, yes. But I'm not going to train by running to work. I'll run around the park a few times when I get home in the evenings. W: OK. Anyway I must go now or I'll be late. Bye., Question: What feeling does the woman get while going to work?
Ex Output:
Peaceful.
Ex Input:
M: Do you know what you want to do when you finish your degree? W: I'll ask you if I ever need your advice., Question: What does the woman mean?
Ex Output:
She has not started thinking about it yet.
Ex Input:
W: Welcome to Wanda International Cinema. Can I help you? M: Umm... I want to know when "Operation Red Sea" is showing today. W: There are 6 showings today, one in the morning, another at noon, and then 3 p.m., 6 p.m., 9 p. m., and a midnight showing. M: OK, I want 5 tickets for the 9 p.m. showing tonight. Are there still 5 tickets available that are seated together? W: I'm sorry, there are only 3 tickets left. How about the 6 p.m. showing? There are still 7 tickets left for that show. M: But we have a date for dinner at 5 p.m., so we won't make the beginning of the movie. W: So would you like to see another movie? "Detective China Town 2" is very popular, too. M: No, we all want to see this one. Is there any way that we could buy tickets now for Friday's screens? W: You can order tickets right now for the next three days. It's Wednesday today. So, that's OK. What time would you like? M: The 9 p.m. showing. I think there might be more people who want to see the movie on Friday. How many tickets can I buy at one time? W: The limit for advanced tickets is 10. M: OK, I'll have 8 tickets for the showing of "Operation Red Sea". Are the tickets available? W: Yes, you're lucky. M: By the way, when can I pick up the tickets? W: You can have them right now if you pay for them. M: Great! Thanks!, Question: What will the man probably do to ensure 8 tickets for Friday?
Ex Output:
| Paying a deposit.
| 1 | NIv2 | task283_dream_incorrect_answer_generation | fs_opt | [
0.5895141959190369,
0.16450485587120056,
-0.5971660614013672,
0.17716267704963684,
0.43741536140441895,
0.27351295948028564,
0.437372088432312,
0.60295170545578,
0.26588404178619385,
-0.18731826543807983,
-0.4248059391975403,
-0.2323535829782486,
0.4564433693885803,
0.23836377263069153,
... |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
One example: This is my go to place to get the best chicken Pad Thai! Also the price is super good, considering most places have high prices and poor quality. Love this place, its definitely a top 5 fav for take out.
Solution is here: POSITIVE
Explanation: The overall sentiment of the review is positive. Hence, the label is 'POSITIVE'.
Now, solve this: Chilli's quality.
Solution: | NEGATIVE | 6 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-1.4767152070999146,
0.0056942785158753395,
0.15825003385543823,
0.10522960126399994,
0.23238973319530487,
-0.4402889311313629,
0.8806236982345581,
0.49500152468681335,
0.20215848088264465,
-0.16077855229377747,
0.08546840399503708,
0.21692466735839844,
-0.6473456621170044,
0.8346471786499... |
You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
One example: The trophy doesn't fit into the brown suitcase because _ is too large.
Solution is here: trophy.
Explanation: Answer is one of the objects ("trophy" and "suitcase") in the question. Since the blank is a "large" object that didn't fit the "suitcase", the answer must be "trophy".
Now, solve this: The toys were left out in the living room because they didn't fit in the drawers. The _ are too large.
Solution: | toys | 6 | NIv2 | task033_winogrande_answer_generation | fs_opt | [
0.3273025453090668,
0.8079888820648193,
-0.2731037139892578,
-0.22396191954612732,
0.160275399684906,
-0.5735105276107788,
0.8393982648849487,
0.5328690409660339,
0.02681422047317028,
-0.3855147957801819,
0.4704893231391907,
0.3848605751991272,
-0.16824565827846527,
-0.06921994686126709,
... |
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 vouch-fair strategy, otherwise output No. vouch-fair is a selfish negotiation strategy. It is used to call out fairness for personal benefit, either when acknowledging a fair deal or when the opponent offers a deal that benefits them. This can be through an explicit call out or can be implied.
Example: Context: 'Yeah, I'm going to the desert so I'm hoping to have enough water. I'm good on food and I hunt for a lot of it anyways.' 'I've never been a good hunter. I wish I had those abilities.' 'I would part with all the food if I could get all the firewood.'
Utterance: 'That seems fair. How about water. How would that be split? I'm very concerned.'
Example solution: Yes
Example explanation: This is correct since the participant points out that the proposed deal seems fair.
Problem: Context: 'Ok, let me then give you 2 packages of firewood and 2 packages of water and you give me 2 packages of food. What about that?' 'So I get 1 food, 2 water and 2 firewood?' 'What is your take?'
Utterance: 'And you will get 2 food, 1 water and 1 firewood? I think it is a great deal since food is hard to find in the camp site. I don't think you want to go hunting🙂'
| Solution: Yes | 5 | NIv2 | task359_casino_classification_negotiation_vouch_fair | fs_opt | [
-0.20791541039943695,
0.5179766416549683,
-0.284883052110672,
0.02023126929998398,
-0.7020045518875122,
-0.46991991996765137,
0.8698453903198242,
0.7834292650222778,
0.047985274344682693,
0.17074045538902283,
0.15452934801578522,
-0.10966701805591583,
-0.793228268623352,
-0.147660851478576... |
Detailed Instructions: In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
See one example below:
Problem: 2, 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Solution: 34, 7, 762
Explanation: Here, starting from 2nd element every 3rd element from the list are '34', '7', and '762'.
Problem: 1, 7, ['8011', 'S', 'W', 't', 'U', '5051', 'C', 'R', '4689', 'm', '9741', 'B', '251', 'C', 'M', '8847', 'j', '7809']
Solution: | 8011, R, M | 4 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
0.35761016607284546,
-0.05688862502574921,
-0.8916628956794739,
-0.5742996335029602,
-0.17161141335964203,
-0.449565052986145,
0.8072068691253662,
0.5408289432525635,
-0.4233201742172241,
-0.0005621584132313728,
-0.45898672938346863,
0.2001984864473343,
-0.05156718194484711,
0.471361935138... |
Definition: In this task, you are given a string with duplicate characters ocurring in the string. You need to return the character which is ocurring with the maximum frequency. In case of a tie, return the character with the least ascii value.
Input: ujksgfumsawrdverpmngnjecntcxxxznwcoxxhkx
Output: | x | 2 | NIv2 | task1188_count_max_freq_char | zs_opt | [
-0.6018334627151489,
0.7650658488273621,
-0.07022228837013245,
-0.4398721158504486,
-0.06771783530712128,
0.15702912211418152,
0.8955687284469604,
-0.17307208478450775,
-0.07120688259601593,
0.023724693804979324,
-0.07157450914382935,
0.07344108819961548,
-0.2306065857410431,
0.14377081394... |
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