inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Teacher:In this task, given a sentence in the English language, your task is to convert it into the Khmer language.
Teacher: Now, understand the problem? Solve this instance: He received $59 million for his performance in the position.
Student: | គាត់បានទទួលប្រាក់ចំនួន $59 លាន ចំពោះការបំពេញការងារក្នុងតួនាទីរបស់គាត់។ | 6 | NIv2 | task555_alt_translation_en_kh | zs_opt | [
0.09101338684558868,
-0.19030964374542236,
0.4662453234195709,
-1.315773367881775,
-0.05162228271365166,
-0.19814631342887878,
-0.2417125403881073,
0.31474271416664124,
0.3447178900241852,
-0.5642833709716797,
0.29868805408477783,
0.12449046224355698,
-0.7181124091148376,
-0.15611305832862... |
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. For that you can use the Context; however, Context is not provided in all the inputs. Also, in some inputs, there can be zero emotion; for that return 'None'.
Context: My friend Jake ate a burger. He had a weird feeling in his stomach after eating it.
Sentence: Several hours later he fell ill.
Character: I (myself) | concerned | 0 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
0.05410686135292053,
0.09954367578029633,
0.365445613861084,
-0.16871565580368042,
0.016922272741794586,
0.07120262086391449,
0.8474100828170776,
0.4630774259567261,
0.1050502359867096,
-0.005224722437560558,
0.1368241161108017,
-0.4371132552623749,
-0.6381618976593018,
0.2637487053871155,... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Example input: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
Example output: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
Example explanation: The Arabic sentence is correctly translated into Hebrew, because the meaning is preserved.
Q: (تصفيق) إذاً لوك ، قبل ليلة أمس ، متى كانت آخر مرة رأيت فيها توني ؟
A: | [מחיאות כפיים] לוק, לפני הלילה האחרון, מתי ראית את טוני בפעם האחרונה? | 3 | NIv2 | task1233_ted_translation_ar_he | fs_opt | [
-0.9438750743865967,
0.9867367148399353,
0.4572547674179077,
-0.5075758695602417,
-0.8375184535980225,
-0.035606224089860916,
0.857696533203125,
-0.5227817296981812,
0.34843945503234863,
-0.48908862471580505,
-0.43469882011413574,
0.49061453342437744,
-0.8560774922370911,
0.299797773361206... |
Detailed Instructions: Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn the fact into a question - easy! Don't just randomly remove a word from the given fact to form a question. Remember that your question must evaluate scientific understanding. Pick a word or a phrase in the given fact to be the correct answer, then make the rest of the question. You can also form a question without any WH words. For example, "A radio converts electricity into?"
Problem:Fact: Earth's precession, not its orbit, is what determines seasons.
Solution: | What determines the seasons on Earth? | 8 | NIv2 | task040_qasc_question_generation | zs_opt | [
0.6226281523704529,
1.0473337173461914,
-0.17847734689712524,
-0.09020008891820908,
-0.8640315532684326,
-1.072062611579895,
0.5913589000701904,
0.5231776833534241,
0.07057102769613266,
-0.3966100811958313,
-1.4334243535995483,
-0.17979204654693604,
-0.5322092771530151,
0.41001659631729126... |
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].
Example input: Post: If I was a woman I would probably be a hoe lol they have so much fun and niggas pay them for stupid shit
Example output: Hateful
Example explanation: This is a hateful post against women because it contains explicit language that disrespects women.
Q: Post: A Catholic who loves Christianity #Italy #LeaveEU #StoptheBoats #Sendthemback #Lega #News #Bible [Link]
A: | Non-hateful | 3 | NIv2 | task333_hateeval_classification_hate_en | fs_opt | [
-0.49029117822647095,
0.0404253825545311,
0.48549121618270874,
0.9572886228561401,
0.2270580530166626,
-1.0905117988586426,
0.5040948390960693,
1.2838932275772095,
0.35405847430229187,
0.36075764894485474,
0.2248411625623703,
-0.0585760772228241,
-0.35985541343688965,
-0.7900299429893494,
... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
One example is below.
Q: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
A: 第一にキリバス共和国が彼ら自身の利益になると理解したからです
Rationale: The English sentence is correctly translated into Japanese. Kiribati is correctly translated as キリバス.
Q: Maybe that was because of what I saw when I was a child.
A: | たぶん子供の頃にあの事故を見たからでしょう | 9 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
1.084008812904358,
0.4500264823436737,
-0.21716615557670593,
-0.5189921855926514,
-0.4423609972000122,
-0.8400485515594482,
0.871769905090332,
-0.33676275610923767,
0.677668035030365,
-0.32180309295654297,
-0.11160780489444733,
0.14118707180023193,
-0.9558833837509155,
0.5513912439346313,
... |
This task is about translating a given English language sentence to French.
Right? | Vrai ? | 0 | NIv2 | task1689_qed_amara_translation | zs_opt | [
-0.38591161370277405,
0.7662317752838135,
0.3279062807559967,
-0.29724815487861633,
0.07268951833248138,
-0.17342978715896606,
0.5716659426689148,
-0.40046364068984985,
0.17289403080940247,
-0.36914771795272827,
-0.5739358067512512,
-0.16125306487083435,
-0.08591239899396896,
0.01146858092... |
In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
2 (3 oz.) boxes orange jello, 1 large can crushed pineapple, 1 can mandarin orange slices, 1 (8 oz.) pkg. cream cheese, softened, 2 c. miniature marshmallows, 1 c. white grapes, halved (optional) | orange jello, pineapple, orange slices, cream cheese, marshmallows, white grapes | 0 | NIv2 | task570_recipe_nlg_ner_generation | zs_opt | [
-0.6852391362190247,
0.6221253871917725,
0.5312848687171936,
0.310696542263031,
-0.11622796207666397,
0.02865888737142086,
0.9837000370025635,
0.3249702453613281,
-0.6826945543289185,
-0.2822275161743164,
0.4661409258842468,
-0.6882340312004089,
-1.0734028816223145,
-0.18241766095161438,
... |
Q: The task is to generate the correct answer for a given math problem.
Problem: a is twice as good a work man as b and together they finish the work in 4 days . in how many days a alone can finish the work ?
A: | 7 | NIv2 | task1726_mathqa_correct_answer_generation | zs_opt | [
0.356090247631073,
2.3456552028656006,
0.18179951608181,
-0.399294376373291,
0.08204469829797745,
-0.08838602900505066,
-0.4005472660064697,
0.030953776091337204,
0.11974186450242996,
-0.004539667163044214,
-0.20312687754631042,
0.15886054933071136,
1.308964729309082,
-0.7332695722579956,
... | |
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
--------
Question: Papillary thyroid carcinoma (PTC) is the most common endocrine malignancy. It has been demonstrated that micro-RNAs (miRNAs) are involved in the development of PTC. The miRNA-chromatin immunoprecipitation microarray assay revealed down-regulation of miR-219-5p; however, the effect of miR-219-5p on PTC cell growth remains unknown. This result implied the critical role of miR-219-5p in the development of PTC.', 'We investigated the association between miR-219-5p and PTC development. Expression of miR-219-5p was monitored in 30 PTC tissue specimens and compared with that in 30 normal thyroid tissue specimens. The effect of miR-219-5p on PTC development was studied by cell proliferation, migration, and apoptosis assays. The underlying mechanism was clarified by a reporter assay and rescue experiment.', 'The current study confirmed that miR-219-5p expression was inhibited in PTC tissue samples. There were statistically significant differences in the expression of miR-219-5p with regard to sex, tumor size, and lymph node metastasis in patients with PTC. Forced expression of miR-219-5p suppressed PTC cell proliferation and migration and promoted apoptosis. Further study showed that estrogen receptor (ER) α was the direct target of miR-219-5p and mediated the effect of miR-219-5p on PTC occurrence. Expression of miR-219-5p was inversely correlated with that of ERα. Importantly, ERα overexpression in PTC cells rescued the inhibitory effect of miR-219-5p on PTC cell proliferation and migration. Thus, our results indicated that miR-219-5p played a critical role in PTC growth by inhibiting ERα.
Answer: 0
Question: We determined whether milrinone, a phosphodiesterase III inhibitor, attenuates serotonin-induced (5-hydroxytryptamine [5HT]) pulmonary hypertension (PH) and bronchoconstriction. Dogs were anesthetized with pentobarbital (30 mg/kg + 2 mg. kg(-1). h(-1)). Bronchoconstriction and PH were elicited by 5HT (10 microg/kg + 1.0 mg. kg(-1). h(-1)). Pulmonary vascular resistance was used to assess PH. Bronchoconstriction was also assessed by changes in bronchial cross-sectional area obtained from our bronchoscopic method. At 30 min after 5HT infusion started, seven dogs were given milrinone: 0 (saline), 5, 50, 500, and 5000 microg/kg at 10-min intervals. The other 12 dogs were given milrinone 5000 microg/kg 30 min after 5HT infusion, and 5 min later were given propranolol 0.2 mg/kg (n = 6) or saline (n = 6) IV. The 5HT significantly increased percentage of pulmonary vascular resistance to 208% +/- 27% and decreased percentage of bronchial cross-sectional area to 52% +/- 5% of the basal. Milrinone significantly attenuated both PH and bronchoconstriction in a dose-dependent manner. However, -log 50% effective concentration (mean ED(50) in microg/kg) of milrinone for bronchoconstriction: 4.32 +/- 0.13 (47.6) was significantly smaller than that for PH: 3.84 +/- 0.29 (144.9) (P < 0.01). In addition, the spasmolytic effects of milrinone (5000 microg/kg) were not antagonized by propranolol, although this dose significantly increased plasma catecholamines. In conclusion, milrinone attenuates 5HT-induced PH and bronchoconstriction; however, this drug may be more sensitive to phosphodiesterase III in the airway smooth muscle than in pulmonary vascular smooth muscle. In addition, the relaxant effects could not be caused by beta-adrenoceptor activation because beta-blocker did not antagonize.
Answer: 0
Question: There is an increased risk of colorectal cancer in patients with inflammatory bowel disease (IBD). The aim of this study was to compare the prevalence of left sided adenomas in patients with IBD aged 55-64 years with a local age matched control population.', 'A review of clinical notes. The prevalence of adenomas in patients with IBD attending for either sigmoidoscopy or colonoscopy was compared with local age matched controls that participated in the national screening trial for colorectal cancer with flexible sigmoidoscopy.', "Of 106 patients (61 male, 45 female, mean age of 59 years), 80 suffered from ulcerative colitis, 20 from Crohn's disease, and six from indeterminate colitis. All patients had undergone at least one flexible sigmoidoscopy and 75 had a colonoscopy. Distal adenomas were found in three patients with ulcerative colitis compared with 67 of 749 controls (2.8% v 8.9%, chi(2) = 4.6, p = 0.03).
Answer: | 1
| 7 | NIv2 | task848_pubmedqa_classification | fs_opt | [
0.827625572681427,
-0.2013251930475235,
-0.2771870493888855,
0.6957711577415466,
1.1394696235656738,
-0.9100376963615417,
0.5503685474395752,
0.8148760199546814,
0.3306594491004944,
0.35424673557281494,
-0.9410895109176636,
-0.06315074115991592,
-0.862851619720459,
0.1718050241470337,
-0... |
Instructions: You will be given a review about a book, an item, a place or a movie. After that, a question is given that you should answer using a certain span of the review. Your answer should be from the review itself and should not contain extra words, and should not be a combination of different spans. If there's no direct answer to the question, answer with a part of the text that is the most relevant to the question. See the examples for clarification.
Input: review: Amazing from start to finish!We sat on the back patio, which has a great atmosphere, on a weekday for an early dinner. The patio is all communal tables which adds to the casual and social feel. All of the front of house staff were charming and welcoming. They were attentive and friendly without being obtrusive or fake. I had the jesus juice cocktail, which was tasty and refreshing and had just the right amount of sweetness for a very hot summer day. We had a bunch of the tacos, and all were perfect. A big standout for me was their shrimp taco. The shrimp inside was breaded and fried, which made me nervous that it would only taste like batter and oil. I was so wrong. It had a wonderful shrimp flavor that was perfectly complemented by the sauce. The beef cheek was also a highlight. Although there are lots of places to get cheaper tacos in the city, I will definitely be back to Grand Electric. The patio, service, cocktails, and variety of delicious taco options make it absolutely worth it. Would recommend to anyone.
question: Is it a good menu?
Output: | The patio , service , cocktails , and variety of delicious taco | 3 | NIv2 | task144_subjqa_question_answering | zs_opt | [
-0.29476678371429443,
0.11823765933513641,
-0.14617374539375305,
-0.3668290376663208,
0.2488403171300888,
-0.6446579694747925,
0.32702478766441345,
0.2766249477863312,
0.10574617236852646,
0.6799134016036987,
0.7845954895019531,
-0.34307724237442017,
-0.9008023738861084,
-0.111519642174243... |
Teacher:In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is a part, portion, or makeup of 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.
Teacher: Now, understand the problem? Solve this instance: Head: cheese<sep>Tail: cheese rind
Student: | Yes | 6 | NIv2 | task1210_atomic_classification_madeupof | zs_opt | [
0.28875088691711426,
0.16524669528007507,
0.48417937755584717,
-0.07145781815052032,
-0.5091869831085205,
-0.4071663022041321,
1.285048007965088,
0.4591796100139618,
-0.64002525806427,
-0.4405273497104645,
-0.3272274136543274,
-0.5157623291015625,
-0.43910783529281616,
0.47759440541267395,... |
Q: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
6, 12, ['l', 'g', '6025', '6763', 'y', 'U', 'g', 'd', '517', '8685', 'V', 'V', 'z', '1965', '8295', 'a', 'f', 'e', '3861', 'c', '4793', 'V', 'W', 'k']
A: | Ugd5178685VV | 7 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.4236754775047302,
0.19970154762268066,
-0.19561485946178436,
-0.7529939413070679,
0.058138854801654816,
-0.24339254200458527,
0.4574459493160248,
-0.4283030033111572,
-0.20265349745750427,
0.06780123710632324,
-0.8760998249053955,
0.3650442361831665,
-0.039167359471321106,
0.01182969938... |
Given the task definition and input, reply with output. 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'.
Person1: Can I help you , sir ?
Person2: Yes , I want to have a photo .
Person1: Will you please pose for your picture ?
Person2: Yes . I am ready .
| No emotion,No emotion,No emotion,No emotion | 5 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
-0.7701365947723389,
0.5802935361862183,
0.1767728328704834,
-0.22185978293418884,
0.06307309120893478,
0.02361013926565647,
0.6893160939216614,
-0.3847857415676117,
0.04826565831899643,
-0.5913547277450562,
-0.39880281686782837,
-0.32498055696487427,
-0.5706900954246521,
0.877653241157531... |
Detailed Instructions: The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet.
Problem:how low will the media rabble go to defame everything wholesome how about depicting santa as a gay mudshark destroying children love of christmas everywhere stephan colberts writer daniel kibblesmith penned this new christmas book maga <user> <user>
Solution: | gay mudshark | 8 | NIv2 | task1504_hatexplain_answer_generation | zs_opt | [
-0.8896903395652771,
0.7898024320602417,
0.12319354712963104,
0.10129751265048981,
-0.3934039771556854,
-0.3829355537891388,
0.11633612215518951,
0.2695556879043579,
0.2972291111946106,
-0.2142881453037262,
-0.19304288923740387,
0.3784196376800537,
-0.5244666337966919,
-0.5872505903244019,... |
Teacher: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? If you are still confused, see the following example:
पहले दो को अविश्वसनीय मानकर बाकी पांच मुखबिरों के आधार पर मुकदमा चलाया गया|
Solution: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
Reason: Hindi sentence is properly converted into English sentence because the input also says that the first two were judged to be untrustworthy, thus the prosecution relied heavily on the testimony of the remaining five approvers. Also, the translated sentence is in a sentence case.
Now, solve this instance: चाहे वह हिमचुंबित हिमालय निहार रहे होते या मैदानी इलाकों की गर्मी और धूल में पसीज रहे होते , इसमें नित्य नयी कविताएं जुड़ती चली जातीं ।
Student: | Whether he was gazing at the snow-capped Himalayas or sweltering in the heat and dust of the plains , the poems poured forth . | 2 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
-0.0443200021982193,
-0.19721698760986328,
0.4288329780101776,
-0.46437960863113403,
0.07912766188383102,
-1.2092041969299316,
-0.18925556540489197,
1.06264328956604,
-0.09695897251367569,
-0.5474504828453064,
-0.6044642925262451,
-0.6566041707992554,
-0.5654584169387817,
-0.32710450887680... |
Two analogies that signify affordances are given in the form "A : B. C : ?". Affordance is the possibility of an action being done on an object, for example book is an affordance of writing. The phrase "A : B" implies that B is an affordance of A. Your task is to replace the question mark (?) with the appropriate affordance of the given action C, following the "A : B" relation. Your answer should be a single object without further explanation.
Example Input: swing : sword. open : ?
Example Output: door
Example Input: chase : thief. drink : ?
Example Output: water
Example Input: paint : picture. attack : ?
Example Output: | enemy
| 3 | NIv2 | task1153_bard_analogical_reasoning_affordance | fs_opt | [
0.09424203634262085,
0.9876881241798401,
-0.3507571220397949,
0.5948501825332642,
0.018176060169935226,
-0.22653363645076752,
1.0313048362731934,
0.6828637719154358,
0.23236341774463654,
-0.21613700687885284,
-0.3809918761253357,
0.07131942361593246,
-0.3359990119934082,
-0.378699839115142... |
Given a sentence in Italian, generate a new Italian 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.
Let me give you an example: È probabile che in futuro chiamerete una lista dei nomi.
The answer to this example can be: E' probabile che troviate una carta dei vini al ristorante.
Here is why: This is a good change in the input, because it is semantically similar to the input as both are talking about either list of names or wines and the output sentence follows the commonsense knowledge.
OK. solve this:
Un esploratore può alimentare una caccia ad un tesoro.
Answer: | Un esploratore può inviare una mappa a un negozio via email. | 8 | NIv2 | task408_mickey_it_sentence_perturbation_generation | fs_opt | [
0.01206320058554411,
0.05796418339014053,
-0.0716572105884552,
0.41628164052963257,
-0.18042844533920288,
-0.7693611979484558,
0.18920180201530457,
0.9939035773277283,
-0.17683517932891846,
-0.24735890328884125,
-0.519239068031311,
0.23068273067474365,
-0.4827800989151001,
-0.0745882615447... |
Q: Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 報道管制はアフガニスタンでの軍務の間、王室の危険性を低減するために行われ、この種の初めての大規模な合意だった。
Lao: ການສຳຫຼວດ ຄະແນນນະໂຍບາຍພັກລັດ (PPP) ໃນປະຈຸບັນ ສະແດງວ່າ ຈອນສັນ ກັບ ຫົກເປີເຊັນ ຂອງການສະໜັບສະນູນແຫ່ງຊາດ ຢູ່ໃນການຈັບຄູ່ກັບ ປະທານນາທິບໍດີ ບາຣັກ ໂອບາມາ ແລະ ຜູ້ສະໝັກສົມມຸດຂອງ ຣີພາບລີກັນ ມິຕ ໂຮມນີ່.
A: | No | 7 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-1.3588892221450806,
-0.0861942321062088,
0.0497032031416893,
0.24453380703926086,
-0.018826205283403397,
-0.21651729941368103,
0.8130847215652466,
0.8562287092208862,
-0.04329606890678406,
0.07740318775177002,
-0.7074019908905029,
0.32449859380722046,
-0.6890045404434204,
0.35760909318923... |
Given the task definition and input, reply with output. The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
Topic: Assisted suicide should be a criminal offence<sep>Argument: No-one has the right to play god and decide to help another person to die.<sep>Keypoint: People do not have the right to self-harm/harm others
| True | 5 | NIv2 | task1285_kpa_keypoint_matching | zs_opt | [
-0.16709305346012115,
0.9868164658546448,
0.08020594716072083,
-0.12788398563861847,
-0.7149991989135742,
-0.20466870069503784,
0.35931217670440674,
0.17870473861694336,
0.24789954721927643,
0.19129693508148193,
-0.43015024065971375,
0.24351000785827637,
-0.3068966269493103,
-0.00000673701... |
Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Input: Osobną kwestią jest to, że kochamy baterie.
Output: | والشي الأخر هو ، أننا نحب البطاريات | 3 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
0.36530518531799316,
0.6795123815536499,
-0.6339589357376099,
-0.4089306592941284,
-0.45113110542297363,
-0.6119402647018433,
1.614590048789978,
-0.45767104625701904,
0.4469144940376282,
0.17666901648044586,
-0.5868841409683228,
0.23804646730422974,
-0.5909253358840942,
0.23037055134773254... |
In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
Good morning and happy Tuesday! I hope you have a terrific day! Enjoy it tons 😃 | Not angry | 0 | NIv2 | task397_semeval_2018_task1_tweet_anger_detection | zs_opt | [
-1.1782015562057495,
0.25776711106300354,
0.9943738579750061,
-0.014209293760359287,
-0.12578436732292175,
-0.8819454312324524,
0.15574023127555847,
-0.03359687328338623,
0.08918314427137375,
0.3419460952281952,
-0.07687336951494217,
-0.47156381607055664,
-0.39500826597213745,
-0.239443331... |
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. For example, if the input list contains two items, you can drop one of the items each time. So the output should be a list comprising two inner lists that you have created by decreasing the items.
--------
Question: ['8', 'y', 'v', '4', 'y']
Answer: [['8', 'y', 'v', '4'], ['8', 'y', 'v', 'y'], ['8', 'y', '4', 'y'], ['8', 'v', '4', 'y'], ['y', 'v', '4', 'y']]
Question: ['2', 'T', '3', 'c', 'b', 'o']
Answer: [['2', 'T', '3', 'c', 'b'], ['2', 'T', '3', 'c', 'o'], ['2', 'T', '3', 'b', 'o'], ['2', 'T', 'c', 'b', 'o'], ['2', '3', 'c', 'b', 'o'], ['T', '3', 'c', 'b', 'o']]
Question: ['8', 'b', 'p', 'I', '5', '5']
Answer: | [['8', 'b', 'p', 'I', '5'], ['8', 'b', 'p', 'I', '5'], ['8', 'b', 'p', '5', '5'], ['8', 'b', 'I', '5', '5'], ['8', 'p', 'I', '5', '5'], ['b', 'p', 'I', '5', '5']]
| 7 | NIv2 | task208_combinations_of_list | fs_opt | [
0.09185124933719635,
0.22792550921440125,
-0.6773203611373901,
0.392341285943985,
0.6925439834594727,
-0.7042067050933838,
0.5018389821052551,
0.9214684963226318,
-0.04719184339046478,
-0.014279762282967567,
-0.5773205757141113,
-0.09789902716875076,
-0.19531182944774628,
-0.12386780977249... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
2, ['7321', 'S', 'n', 'W', 'i', '2975', '635', '1273', '1135', 'Z']
n, W, i, 2975, 635, 1273, 1135, Z
5, ['p', 'P', 'T', 'e', 'k', '7257', '8811', '551', 'G', 'E']
7257, 8811, 551, G, E
1, ['6109', '4181', 'S', '8031', 'g', 'B', 'Q', 'L', '527', 'z', '3007', '4399', '8517', 'F', 'S', '697', 'R', '2857', '41', '5173', 'K', '4545', '7087', '8735', 'f']
| 4181, S, 8031, g, B, Q, L, 527, z, 3007, 4399, 8517, F, S, 697, R, 2857, 41, 5173, K, 4545, 7087, 8735, f
| 0 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
-0.09120138734579086,
0.23634663224220276,
-0.15884318947792053,
-0.27625197172164917,
-0.3766045570373535,
-0.46183472871780396,
0.4104023873806,
0.05801305174827576,
-0.8199694156646729,
0.04228749871253967,
-0.8435428738594055,
0.02849462255835533,
0.047879576683044434,
-0.0803324356675... |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Example Input: Igbo sentence: Kohat to Lake Charles, La
Example Output: Kittilae to Lake Charles, La
Example Input: Igbo sentence: Kwere - Torres Strait Creole
Example Output: croate - Torres Strait Creole
Example Input: Igbo sentence: Na-achọ ịghọta ha, ma na-akwanyere eziokwu na ụfọdụ n'ime anyị na-ebi dị iche iche a na-aghaghị idi iche iche ọnwụnwa.
Example Output: | Seek to understand them, and respect the fact that some of us live in different realities and have to endure different trials .
| 3 | NIv2 | task449_opus_paracrawl_ig_en_translation | fs_opt | [
-0.0277591273188591,
0.10158785432577133,
-0.22487041354179382,
-0.3175663948059082,
0.06072835996747017,
-1.186436414718628,
0.44196078181266785,
0.2548888623714447,
-0.3448023200035095,
-0.4742315411567688,
0.13819704949855804,
0.27226024866104126,
-1.051849126815796,
0.11609825491905212... |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Input: מעניין. מייקל, בשורה התחתונה, מה ההמלצה שלך?
Output: | 興味深いですねマイケル結局お勧めは? | 2 | NIv2 | task1235_ted_translation_he_ja | zs_opt | [
-0.3578689694404602,
0.22273506224155426,
-0.06390494853258133,
-0.3508366048336029,
0.07810741662979126,
-0.5995210409164429,
1.0061951875686646,
-0.22011063992977142,
0.5440108776092529,
-0.3666068911552429,
-0.35798394680023193,
-0.35190579295158386,
-0.6447618007659912,
0.7754352092742... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX is looking for a new home<sep>Tail: move to new home
Output: | Yes | 1 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.27551645040512085,
0.41808784008026123,
0.21758350729942322,
-0.10475655645132065,
-0.29596707224845886,
-0.6935450434684753,
1.0866297483444214,
0.2506951093673706,
-0.9953874349594116,
-0.5521631836891174,
-0.28419774770736694,
-0.687816858291626,
-0.5777876377105713,
0.369567513465881... |
Definition: A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
Input: ڈیکاتھلون-5 (400 میٹر)
Output: | डिकेथलॉन -5 (400 मीटर) | 2 | NIv2 | task1054_pib_translation_urdu_hindi | zs_opt | [
0.7355996370315552,
0.051269225776195526,
-0.7728406190872192,
0.2704424560070038,
-0.11953519284725189,
-0.19395479559898376,
0.27899888157844543,
-0.40831202268600464,
0.5668760538101196,
-0.8385989665985107,
-1.1454007625579834,
-0.1643892526626587,
-0.024803509935736656,
0.467681229114... |
In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.
[EX Q]: Question: In the β-oxidation of odd-chain fatty acids, what is the molecule that forms with the last three carbons to enter the citric acid cycle ?:
Options: <1> Propionyl-CoA. <2> Methylmalonyl-CoA. <3> Succinyl-CoA. <4> Succinate <5> Malate.
[EX A]: 3
[EX Q]: Question: Diabetes Insipidus:
Options: <1> It is a disease linked to the dysfunction of the anterior pituitary gland. <2> It is controlled by limiting the ingestion of liquids. <3> It manifests by polydipsia and the elimination of large volumes of diluted urine. <4> It originates in the pancreas. <5> It is caused by excessive production of ADH (Vasopressin).
[EX A]: 3
[EX Q]: Question: Olive oil has the following nutrients in its composition, EXCEPT:
Options: <1> Cholesterol. <2> Oleic acid. <3> Antioxidants <4> Vitamin E. <5> Linoleic acid.
[EX A]: | 1
| 6 | NIv2 | task1431_head_qa_answer_generation | fs_opt | [
-0.11767945438623428,
0.2439274787902832,
-0.3967413008213043,
-0.8770432472229004,
0.05220754072070122,
-0.10524067282676697,
1.033940076828003,
1.1089720726013184,
0.010671637952327728,
-0.07428145408630371,
-0.3581238389015198,
-0.42649805545806885,
-0.1455782651901245,
-0.4664925932884... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Example: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Output: 第一にキリバス共和国が彼ら自身の利益になると理解したからです
The English sentence is correctly translated into Japanese. Kiribati is correctly translated as キリバス.
New input case for you: The most startling thing about this is that these coercive policies weren't even needed.
Output: | もっとも驚くべきは ― これらの強制的な方法が必要ですらなかったということです | 1 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.6981220245361328,
0.4003455638885498,
-0.08511568605899811,
0.1602771133184433,
0.07509094476699829,
-0.35146427154541016,
0.54041987657547,
0.27343055605888367,
0.15991687774658203,
0.06451530754566193,
-0.33536726236343384,
-0.39214372634887695,
-0.18015030026435852,
0.0265550147742033... |
Instructions: In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that section, otherwise answer with "False"
Input: Review: They don't feel like they will last for years.....they are however, better then trying to get my 4 foot 11 inch self in my baby without them
Rating: 3
Output: | True | 3 | NIv2 | task1311_amazonreview_rating_classification | zs_opt | [
-0.07164760679006577,
0.1614876687526703,
-0.1895374059677124,
-0.013013480231165886,
0.24281902611255646,
-0.7635120153427124,
0.9917087554931641,
0.54157555103302,
-0.18565285205841064,
0.3432846963405609,
-0.5943069458007812,
0.3768155872821808,
-0.7872318625450134,
0.024686288088560104... |
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
One example is below.
Q: PersonX does PersonX's job well
A: accomplished by their actions
Rationale: this is a good example because PersonX will likely feel accomplished by doing their job well.
Q: PersonX goes down in flames
A: | defeated | 9 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.1991645097732544,
0.797621488571167,
0.02446754463016987,
-0.9036837220191956,
-0.47250691056251526,
-0.8024899959564209,
1.6393530368804932,
0.7348890900611877,
-0.10637335479259491,
-0.8936484456062317,
0.20800623297691345,
-0.27268186211586,
-0.6725127100944519,
0.6087645888328552,
... |
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
[31, 36, 35, -41, -58, -11] | [31, 35, -41, -58, -11] | 0 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
-0.18068286776542664,
-0.20043601095676422,
-0.3156164288520813,
-0.5381913185119629,
0.2086714804172516,
0.2153376191854477,
1.206789255142212,
0.035332683473825455,
-0.5409588813781738,
-0.00834491103887558,
-0.9881294965744019,
-0.22584250569343567,
-0.049902625381946564,
-0.72176790237... |
You will be given a definition of a task first, then some input of the task.
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.
Omfg! steaks are amazing!
Output: | POSITIVE | 1 | NIv2 | task475_yelp_polarity_classification | zs_opt | [
-1.5563584566116333,
-0.06059735268354416,
0.700295090675354,
0.5590330362319946,
0.8078792095184326,
-0.05884399265050888,
0.07381460070610046,
0.6811941266059875,
0.3501531481742859,
0.3184276521205902,
0.07449957728385925,
-0.4739491641521454,
-0.20673619210720062,
0.29709741473197937,
... |
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.
One example is below.
Q: jump left
A: I_TURN_LEFT I_JUMP
Rationale: The agent must first turn left and then jump in order to jump to the left.
Q: walk around left after walk left twice
A: | I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK | 9 | NIv2 | task128_scan_structured_text_generation_command_action_short | fs_opt | [
0.07443644851446152,
0.5369223356246948,
-0.35974767804145813,
-0.02464119717478752,
0.10206092149019241,
-0.09480860829353333,
0.3973551392555237,
0.04898688197135925,
-0.14834484457969666,
-0.3410578966140747,
-0.770991861820221,
-0.2993815541267395,
-0.7316293120384216,
-0.1485898345708... |
In this task, you will be given a sentence or two along with a change aspect. You should change the given text in the given aspect. Aspects are explained below:
Tense: Change the tense of the verbs in the text. If they're in past tense, change them to present, and if they're in present tense, change them to past tense.
Number: Change the number of the nouns in the given text. Make plurals into singles and single into plurals. Remember to change the corresponding pronouns accordingly.
Voice: If the verbs are in active voice, change them to be passive, otherwise, change them to be in active voice.
Adverb: add one or multiple adverbs to the text.
Gender: If the text contains female names and pronouns, substitute them with male names and pronouns. Do the same for sentences with mala names and pronouns.
Q: sentence: Fred is the only man still alive who remembers my great-grandfather . He is a remarkable man . aspect: Adverb
A: | Fred is actually the only man still alive who really remembers my great-grandfather . He truly is a remarkable man . | 4 | NIv2 | task275_enhanced_wsc_paraphrase_generation | zs_opt | [
-0.49589478969573975,
1.0951544046401978,
0.39640048146247864,
-0.9112445116043091,
-0.32242536544799805,
-0.46460700035095215,
1.2533336877822876,
0.9986539483070374,
-0.08177824318408966,
-0.4229181408882141,
-1.1347694396972656,
-0.4796152114868164,
-1.360231876373291,
0.053705625236034... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
See one example below:
Problem: وقد كتبن اللغة وغالبا ما كانت لغة آلة وأحيانا شفرة ثنائية ترسل بعدها بالبريد لمركز البيانات لتنقل على شريط أو بطاقة ورقية مثقبة ثم تعاد الكرة مرة أخرى للتأكد.
Solution: و آنگاه آنها کُد می نوشتند ، معمولا کُد های ماشینی ، و گاهی کُد های صفر و یکی ، که سپس با پست به مرکز داده ها فرستاده می شد که روی چسب کاغذی یا کارتی منگنه شود و بعد دوباره حک شود تا مورد بازبینی قرار گیرد.
Explanation: The Arabic sentence is correctly translated into Farsi, because the meaning is preserved.
Problem: وهذا مثير للاهتمام لأنه يعني أن الميكانكيون هم من ثبتوا هذه المشية السريعة جدا ، وأن الميكانكيون الماهرون فقط هم من يستطيعون تلخيص الحركة.
Solution: | و این جالب است زیرا بدین معنی است که فقط نحوه حرکت پاها باعث ثبات این حرکت کاملا سریع شده است ، واین نحوه طراحی باعث ساده شدن حرکت شده است. | 4 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.26916590332984924,
-0.025841426104307175,
-0.5584421157836914,
-0.2991577088832855,
-0.15447963774204254,
0.03628688305616379,
0.994728684425354,
-0.048384688794612885,
0.16018657386302948,
-0.29524922370910645,
-0.8901007175445557,
0.13602539896965027,
-0.0014091674238443375,
0.5357750... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Ex Input:
Beginning: Maddie always wanted to be an astronaut. Middle 1: Maddie didn't study hard and pursue her dream. Middle 2: Maddie studied hard and pursued her dream. Ending: Maddie's hard work paid off when she got a job with NASA.
Ex Output:
1
Ex Input:
Beginning: Anna was hiking in the woods one day. Middle 1: Anna saw a pond in the woods and began to drink. Middle 2: Anna saw a pond in the woods and avoided drinking the questionable water. Ending: Anna realized she shouldn't have drunk the untreated water.
Ex Output:
2
Ex Input:
Beginning: It was a beautiful day in the park when Lily was walking with Joe. Middle 1: Lily and Joe walked away from each other. Middle 2: Lily and Joe sat down on a bench. Ending: The two then leaned in and shared their first kiss.
Ex Output:
| 1
| 1 | NIv2 | task070_abductivenli_incorrect_classification | fs_opt | [
-0.7294924259185791,
0.18020151555538177,
-0.5720444321632385,
-0.222016841173172,
-0.734870433807373,
-0.434333860874176,
0.24726542830467224,
0.5052194595336914,
-0.17758750915527344,
0.12188898772001266,
-0.609923243522644,
-0.5972843766212463,
-0.2411397099494934,
-0.4308129549026489,
... |
Q: Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Ito ang unang gobyernong menorya sa Quebec mahigit na 100 mga taon simula noong taong 1878.
A: | これはケベックでの1878年以来100年以上の歴史上初の少数派による政権である。 | 7 | NIv2 | task1119_alt_fil_ja_translation | zs_opt | [
-0.18688073754310608,
0.7189557552337646,
-0.28839850425720215,
-0.5343977808952332,
0.34812384843826294,
-0.6806742548942566,
0.7760684490203857,
0.6913673281669617,
-0.18321052193641663,
0.016596494242548943,
-0.0770617127418518,
-0.6189090013504028,
-0.538071870803833,
0.430886119604110... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
See one example below:
Problem: Udostępniam rozwiązanie. Jestem bardzo szczęśliwy.
Solution: Brindo soluciones. Estoy muy feliz.
Explanation: The Polish sentence is correctly translated into Spanish, because the meaning is preserved.
Problem: „Popatrz jakie mają różowe brzuchy.
Solution: | "" Miren sus vientres, rosa. | 4 | NIv2 | task1258_ted_translation_pl_es | fs_opt | [
-0.9335851669311523,
1.0125617980957031,
-0.055391307920217514,
-0.34499937295913696,
-0.4200994670391083,
-0.6034538745880127,
1.3230268955230713,
-0.23943668603897095,
0.24677297472953796,
-0.5372944474220276,
-0.6500928401947021,
0.8569313287734985,
-0.4303619861602783,
0.61155700683593... |
Detailed Instructions: In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
Q: [126, 17, 181, 89]
A: | [17, 181, 89] | 9 | NIv2 | task205_remove_even_elements | zs_opt | [
-0.389607697725296,
0.5152077078819275,
-0.13684476912021637,
-1.1802313327789307,
0.037645697593688965,
-0.5745822191238403,
0.6011971235275269,
0.25067412853240967,
-0.5593805909156799,
0.6960737109184265,
-0.425544798374176,
0.1576220989227295,
-0.1210329458117485,
-0.15228033065795898,... |
Given the task definition, example input & output, solve the new input case.
A text is given in Telugu. Translate it from the Telugu language to the Urdu language. The translation must not omit or add information to the original sentence.
Example: వ్యవసాయ కార్యకలాపాలు మరియు స్వయం ఉపాధి కారణంగా ఉపాధి కల్పనలో ఈ వ్యయం 321 కోట్ల వ్యక్తిగతమైన రోజులు, 3
Output: زرعی سرگرمیوں اور خود روزگار کے روزگار میں یہ قیمت 321 کروڑ ذاتی دن ہے، 3
Correct translation for given sentence. Input sentence means 'This cost in employment of agricultural activities and self-employment is 321 crore personal days, 3' which is the same as the output sentence.
New input case for you: మీకందరికీ ధన్యవాదాలు.
Output: | شکریہ ! | 1 | NIv2 | task1037_pib_translation_telugu_urdu | fs_opt | [
-0.5965272188186646,
0.7601051926612854,
-0.4471272826194763,
0.08415789902210236,
0.4144047200679779,
-0.17023280262947083,
0.24709460139274597,
0.4475211203098297,
-0.18261204659938812,
0.2815006375312805,
-0.35140466690063477,
-0.004482580348849297,
0.20823414623737335,
-0.2883772253990... |
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 発射は、既にその地域での雷雨により中止の危機に直面していた。
Thai: ในปี2012 เทศกาลทำการเปิดตัวด้วยภาพยนตร์เรื่อง ทิวลิปสีดำ ซึ่งเป็นภาพยนตร์ที่ถ่ายทำทั้งหมดในอัฟกานิสถาน
No
Japanese: 環境団体は、その所見を称賛し、CleanAirWatch代表、フランク・オドンネルはそれを”環境のための緑の手紙の日”と呼んでいる。
Thai: "รวมถึงรูปแบบการจัดเก็บข้อมูลแบบrich text ในตัวข้อความด้วย"
No
Japanese: １０代の時、私はシドニーに住んでいて、NRLに触れたので、当然、私はフットボール(サッカー)と共にこのゲームに強い興味を持っています。
Thai: ตามรายงานของสมาคมผู้ค้าปลีกฟิจิ พายุในครั้งนี้ได้สร้างความเสียหายต่อธุรกิจในฟิจิเป็นมูลค่ากว่าหนึ่งล้านดอลลาร์สหรัฐ
| No
| 0 | NIv2 | task1129_alt_ja_th_answer_generation | fs_opt | [
-0.3375896215438843,
-0.5376374125480652,
0.01251362357288599,
0.14776763319969177,
0.5563652515411377,
-0.6371724605560303,
0.30130308866500854,
1.270570993423462,
-0.32212817668914795,
0.1507423222064972,
-0.20481765270233154,
0.1930657923221588,
-0.4104945659637451,
0.32477009296417236,... |
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Input: Consider Input: Reviews: Since I received this lamp two weeks ago, I used it twice before it completely ceased working. I replaced with a new bulb but it still does not work. This lamp is made with poor quality parts and is not worth the money I paid for. I do not recommend this product. This product does not even deserve one star.
Category: home_improvement
Output: True
Input: Consider Input: Reviews: I set up the product as directed and was able to record in GarageBand for about 5 minutes. I've been getting back into playing guitar and I was pretty excited to be able to use this device for practicing. When I went to use it again I could no longer get any input from my guitar to my phone. I could hear the tracks I had recorded earlier but the app was no longer receiving any input from the guitar. Then the audio from the tracks I had recorded began cutting in and out and it stopped working altogether. The jack for the headphones completely came apart and is rattling around in the device so you can no longer plug in headphones. I'm very disappointed in the terrible quality of this product.
Category: musical_instruments
Output: True
Input: Consider Input: Reviews: I was exited to purchase this heater for my fish tank. The reviews are good and this is a great brand (I have other items in this brand and they all worked long-term). BUT, I was upset to discover that the heater quit working after only using it for 6 weeks. I was wanting to return it or exchange it but the ad did not give me that option. This is very discouraging!!
Category: pet_products
| Output: True
| 2 | NIv2 | task1308_amazonreview_category_classification | fs_opt | [
-0.03666757419705391,
0.07000864297151566,
-1.0115926265716553,
0.1332780122756958,
0.16548576951026917,
-0.5964345932006836,
0.5670540928840637,
0.5586326122283936,
-0.4513898491859436,
0.39104214310646057,
0.11012451350688934,
0.11760106682777405,
-0.48244965076446533,
-0.285142898559570... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether PersonX needs what is mentioned in the Tail before the Head or not. Here need is a precondition for PersonX to achieve the event. For example, in order for PersonX to give PersonY gifts, PersonX must first buy the presents. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX is at PersonY's friend's house<sep>Tail: to walk up to PersonY's friend's house
Solution: Yes
Why? This is a good example. PersonX is at PersonY's friend's house. But before, PersonX needed to walk up to PersonY's friend's house.
New input: Head: PersonX applies for a loan<sep>Tail: has debt
Solution: | No | 0 | NIv2 | task1202_atomic_classification_xneed | fs_opt | [
0.6133847832679749,
-0.024297276511788368,
0.12769746780395508,
0.11110435426235199,
-0.03254413604736328,
-0.3990410566329956,
1.0739123821258545,
0.6762065887451172,
-0.7040964961051941,
-0.29469162225723267,
-0.2609064280986786,
-0.4036823511123657,
-0.5112078785896301,
0.12446989119052... |
In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, like: [1,2,3].
Let me give you an example: [-4, 7, 3]
The answer to this example can be: [1.5, 5]
Here is why: To create the answer, we should first calculate the average of -4 and 7, that is: (-4 + 7 ) / 2 = 1.5, so the first element of the answer is 1.5. Then, we need to calculate the average of 7 and 3, that is: 5. So the second element of the answer is 5.
OK. solve this:
[-92, -22, 64, 67]
Answer: | [-57.0, 21.0, 65.5] | 8 | NIv2 | task124_conala_pair_averages | fs_opt | [
-0.19914764165878296,
0.5920931696891785,
-0.4972054064273834,
-0.25401854515075684,
0.3599293828010559,
0.16822905838489532,
1.0853195190429688,
0.6121816635131836,
0.20854444801807404,
-0.472037672996521,
-0.5667407512664795,
-0.30864712595939636,
-0.06239810213446617,
0.4099943935871124... |
Teacher: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Con el crecimiento, los países y las sociedades ingresan en un ciclo virtuoso de movilidad ascendente, de oportunidad y mejores niveles de vida.
Solution: With economic growth, countries and societies enter into a virtuous cycle of upward mobility, opportunity and improved living standards.
Reason: The Spanish sentence is correctly translated into English, because the meaning is preserved.
Now, solve this instance: ¿En serio cerrar las mezquitas hará que Estados Unidos sea más seguro?
Student: | Now, is closing down mosques going to make America safer? | 2 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.28478819131851196,
0.14995694160461426,
0.47186514735221863,
-0.22190552949905396,
-0.12481758743524551,
0.0775940790772438,
-0.11013282835483551,
0.5207696557044983,
-0.4911363124847412,
0.02160809561610222,
-0.5233478546142578,
0.15043702721595764,
-0.7178598046302795,
-0.736300289630... |
In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate anything else apart from one of the following characters: "A", "B", "C", "D". There is only one correct answer for each question.
Q: Article: The National Dark-Sky Week (NDSW) is a week during which people all over the United States turn off their lights to enjoy the beauty of the night sky without light pollution. This even was started by Jennifer Barlow of Midlothian, Virginia in 2003, and it is becoming more popular each year. It has been supported by the International Dark-Sky Association, the American Astronomical Society, and the Astronomical League. This even always occurs in April, during the week of the new moon so that the sky can be as dark as possible for the best viewing conditions. "It is my wish that people could see the night sky without other light in the sky as our ancestors saw it hundreds of years ago," explains Barlow. _ The main goal of NDSW is to increase awareness of the harmful effects of light pollution. It is not possible for all of the light pollution in this part of the world to disappear. However, it is possible to make a small difference in the quality of the night sky. Another goal of this even is to promote the use of better lighting systems that direct light toward the ground instead of up into the sky. Jennifer Barlow states, "The night sky is a gift of such beauty that it should not be polluted by wasted light. In this way, our children will not lose touch with the wonder of our universe."
Question: This passage is mainly about _ .
Options: (A) better lighting systems (B) the beauty of the night sky (C) the harm of light pollution (D) the National Dark-Sky Week
A: | D | 4 | NIv2 | task309_race_answer_generation | zs_opt | [
0.11884892731904984,
0.34660518169403076,
0.10816450417041779,
-0.4720890522003174,
0.01230518240481615,
0.1603979915380478,
1.1627435684204102,
1.2101950645446777,
-0.18956276774406433,
0.6733707189559937,
-0.5755859613418579,
0.15433213114738464,
-0.07467333227396011,
-0.0185379348695278... |
In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have two languages at a time.
Ex Input:
My body can endure chills, and can endure coldness.
Ex Output:
English
Ex Input:
1.2 Creative Commons Today
Ex Output:
English
Ex Input:
And that is the oxidative stress. This causes cellular damage, weakens the cell,
Ex Output:
| English
| 1 | NIv2 | task1621_menyo20k-mt_en_yo_language_identification | fs_opt | [
0.4166921377182007,
0.34368836879730225,
0.09336937218904495,
-0.07655096054077148,
0.14834637939929962,
-1.0886235237121582,
-0.262770414352417,
0.7734806537628174,
0.6053600311279297,
-0.7916167974472046,
-0.25399744510650635,
-0.07182075828313828,
-0.9812323451042175,
-0.253016740083694... |
Instructions: In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Input: A decision has to be made on what precautions have to be taken to prevent the fire spreading.
Output: | Isigqibo kufuneka senziwe ukuba kuthathwe waphi ukunaba komlilo. | 3 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | zs_opt | [
0.4881238341331482,
0.9287185072898865,
0.24299904704093933,
-0.32698655128479004,
-0.5484090447425842,
-1.0851905345916748,
0.9884641170501709,
0.6067367792129517,
0.1785246878862381,
-0.4034789800643921,
-0.5030620694160461,
-0.09310149401426315,
-0.8061287999153137,
-0.5671515464782715,... |
Detailed Instructions: Your task is to localize given English phrase into Hindi language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But only partial translation or only partial transliteration is not allowed (5) Copy special characters and numbers as is
See one example below:
Problem: Displays the document relations of a document
Solution: दस्तावेज़ का दस्तावेज़ सम्बन्ध प्रदर्शित करता है
Explanation: The sentence is accurately translated
Problem: Invalid tiff file: %1
Solution: | अवैध टिफ़ फ़ाइल:% 1 | 4 | NIv2 | task877_kde4_translation | fs_opt | [
-0.6318647861480713,
0.2643548846244812,
0.5878322124481201,
0.045272812247276306,
0.30712756514549255,
-0.8953343629837036,
0.5370992422103882,
0.06715114414691925,
-0.1713600903749466,
-0.8794674873352051,
-0.6825041770935059,
0.29768073558807373,
-0.45191097259521484,
0.5510240197181702... |
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. An example of a chain is: "pesticides cause pollution" (fact1) + "pollution can harm animals" (fact2) → "pesticides can harm animals" (conclusion fact). Parts of the concluding fact overlap with the first and the second fact. To construct such a concluding fact, a useful way is to borrow the subject from one fact and the ending conclusions from another fact.
One example is below.
Q: Fact1: pesticides cause pollution.
Fact2: pollution can harm animals.
A: pesticides can harm animals.
Rationale: This is a good concluding fact that is entailed from combining Fact1 and Fact2. Also, it does not contain everything present in Fact1 and Fact2.
Q: Fact 1: Plants use unsaturated fatty acids to store energy.
Fact 2: Healthy plants produce healthy produce.
A: | Producers use unsaturated fatty acids to store energy. | 9 | NIv2 | task038_qasc_combined_fact | fs_opt | [
-0.01105918176472187,
0.7795407772064209,
-0.6721528768539429,
-0.12601523101329803,
-0.5734665393829346,
-1.7009272575378418,
-0.09803073108196259,
1.1757229566574097,
-0.5536471605300903,
-0.006810472812503576,
-1.4121100902557373,
0.4580457806587219,
-0.2116187959909439,
-0.241168037056... |
TASK DEFINITION: Given an abstract of a paper, generate a title for this paper such that conveys the key focus of the paper.
PROBLEM: Abstract: We correlated the level of vitiligo antibodies to the extent of depigmentation in thirty-two patients with vitiligo. Vitiligo antibodies were assayed by protein A-sepharose immunoprecipitation method. Antibodies were present in four of eight (50%) patients with minimal vitiligo (less than 2% body surface involved), in nine of ten (90%) patients with moderate vitiligo (2 to 5% surface involved), and in thirteen of fourteen (93%) patients with more extensive disease (greater than 5% surface involved). The level of vitiligo antibodies in the three groups expressed as a binding index was 2.9% +/- 2.03, 5.6% +/- 2.92, and 8.0% +/- 3.03 SD, respectively. These results suggest that there is a relation between the incidence and level of vitiligo antibodies and the extent of depigmentation in vitiligo.
SOLUTION: Correlation between vitiligo antibodies and extent of depigmentation in vitiligo.
PROBLEM: Abstract: To determine the timing of symptoms and oocyst excretion after the acquisition of cryptosporidium infection, we used a screening parasitologic stool examination to identify patients and then contacted them for the collection of retrospective histories and follow-up stool specimens. The study included 68 otherwise healthy patients with an identifiable source and time of infection. All 68 had diarrhea, 61 had abdominal pain, most also had other gastrointestinal symptoms, 33 had fever, and all recovered spontaneously. Among the 50 patients who submitted follow-up stool samples, more than 90 percent of the 610 symptomatic days and of the 136 oocyst-positive stools occurred between days 7 and 28 of infection, the mean incubation period was 7.2 days (range, 1 to 12), and the mean duration of illness was 12.2 days (range, 2 to 26). During the oocyst-excretion period cryptosporidium was detected in 90 percent of Ziehl-Neelsen-stained fecal concentrates. The end of oocyst excretion could be accurately determined in 26 patients; 19 (73 percent) had positive stools after the cessation of symptoms for a mean period of 6.9 days (range, 1 to 15). Fourteen patients were studied for two or more months, and in three of them asymptomatic episodes of oocyst excretion were detected up to two months after clinical recovery. We conclude that many cases of symptomatic cryptosporidiosis occur among immunocompetent patients, some of whom may excrete oocysts even when they have become asymptomatic. Conversely, infected symptomatic patients may occasionally have intermittently negative stools.
SOLUTION: Timing of symptoms and oocyst excretion in human cryptosporidiosis.
PROBLEM: Abstract: We evaluated certain histochemical tests for their ability to detect premalignant mucosa in the dimethylhydrazine model of colonic carcinogenesis. Biweekly colonoscopic biopsies of the descending colon were performed for 29 wk in control and dimethylhydrazine-treated rats. Biopsy specimens of the splenic flexure, rectum, and any visualized tumors were taken. The specimens were stained with periodic acid-Schiff to detect neutral mucins, high-iron diamine alcian blue to detect sialylated and sulfated mucins, fluoresceinated peanut agglutinin, and fluoresceinated Ulex europeus agglutinin. None of the first three tests consistently detected premalignant mucosa. However, Ulex europeus agglutinin, which bound to only 3% of control biopsy specimens throughout the course of the study, bound to increasing numbers of biopsy specimens in the dimethylhydrazine-treated animals, reaching a maximum of 90% positivity by 13-16 wk. Moreover, Ulex europeus agglutinin bound strongly to all biopsy specimens from tissues adjacent to tumors and to 93% of tumors. Mucosal atrophy and focal dysplasia were present more frequently in specimens taken from the rectum (but not the splenic flexure) of dimethylhydrazine-treated animals than of control animals, but there was no correlation between the histochemical markers and either atrophy or dysplasia. We conclude that Ulex europeus agglutinin binding is a consistent feature of premalignant colonic mucosa in dimethylhydrazine-treated rats.
SOLUTION: | Serial observations of colonic carcinogenesis in the rat. Premalignant mucosa binds Ulex europeus agglutinin.
| 8 | NIv2 | task619_ohsumed_abstract_title_generation | fs_opt | [
0.6260228157043457,
-0.3457893133163452,
-1.070166826248169,
0.26989656686782837,
0.49875038862228394,
-0.12712650001049042,
0.058479465544223785,
0.5999505519866943,
0.2045487016439438,
0.20162737369537354,
0.01614166423678398,
0.23718887567520142,
-0.15702399611473083,
0.2484595775604248... |
In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return the profession with the given gender.
Q: Sentence: The salesperson disliked the attendant because he failed to sell the insurance.
Gender: male
A: | Salesperson | 4 | NIv2 | task342_winomt_classification_profession_pro | zs_opt | [
-1.656181812286377,
0.9973787665367126,
-0.055518798530101776,
-1.2617101669311523,
0.21179892122745514,
-0.028319798409938812,
0.21522893011569977,
0.5176845788955688,
0.9031531810760498,
0.194956973195076,
-1.3227678537368774,
0.20111516118049622,
-0.9441951513290405,
-0.3444483876228332... |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Your sentence should be grammatically and syntactically correct. Also stick to the context of the given story. For example, if the story talks about "doctors", you can talk about "health" or "diagnosis", but don't mention "aliens". Avoid introducing any extra/irrelevant information, and use names instead of pronouns (e.g. he / she) wherever possible. Avoid simply negating the original middle, for example: "She likes cakes." is changed to "She doesn't like cakes."
Example Input: Beginning: Gina was making cookies she bought in a tube. Middle: Gina thought this was much easier than making her own cookie dough. Ending: Gina decided this was the way she would make cookies from now on.
Example Output: Gina thought this was much easier than sewing her own clothes.
Example Input: Beginning: Ben was afraid of the dark. Middle: Ben was given a night light. Ending: The light helped Ben sleep much easier.
Example Output: Ben could not sleep with a night light.
Example Input: Beginning: Danny was not looking forward to his work holiday party. Middle: Danny only knew one person going which was his friend. Ending: Danny and his friend stayed together and they had no problems.
Example Output: | None of Danny's friends were going.
| 3 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
0.24761554598808289,
0.5260091423988342,
0.11213377863168716,
0.024646766483783722,
-0.3647732734680176,
-0.04401489347219467,
0.5683730244636536,
0.9577947854995728,
-0.60890793800354,
-0.04838846996426582,
-1.0175092220306396,
0.43212947249412537,
-0.4594005346298218,
-0.5383679270744324... |
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.
Context: 'Hello! how are you? hoping today is finding you well. I was wondering if I can get all 3 of your Firewood, I am willing to trade for all 3 waters. I am camping with 40 kids, its our annual youth camp. its rainy season too, I really want to ensure I have enough dried wood with us. need lots of firewood for the amount of cooking I will be doing, keep the camp warm, and specially to keep those pesky bugs away. what do you think?' 'I could really use the firewood too, it will be very cold where we are going. Since it will be cold, we will not be drinking much water. How about 2 firewood for you, 3 food for me?, ' 'May I ask how many are going camping with you, i would agree, but the needs of children are different than adults. I will need at least 1 food, to ensure I have enough for the kids. '
Utterance: 'We will have 50 adults with us. How about 2 firewood, 1 food, 1 water for you?🙂'
No
Context: 'Hello there! It's nice to meet you. Truthfully, I need to get some food and some firewood. What do you need?' 'The main thing I like to do when camping is a lot of hiking (pretty much all day), so I was hoping to get as much food as possible so I can remain active.' 'I'm sure we can come up with a compromise! I understand the need for extra food with exercise. Sometimes I get low blood sugar and need an extra snack. I'll give you 2 food if I can get 1.'
Utterance: 'I think that is a totally fair split for the food. And I actually don't need a lot of firewood. I would be willing to give you all of it in exchange for the water.'
Yes
Context: 'I was thinking firewood, because the most fun I have camping is roasting marshmellows and hanging out around there. How about you?' 'Oh hmm. I really need extra firewood because I forgot to bring a sleeping bag. I will be freezing to death at night. ☹️' 'Okay, well tell me what you need the least of, if you don't mind.'
Utterance: 'You can have all of the water if you let me have all of the firewood.'
| No
| 0 | NIv2 | task359_casino_classification_negotiation_vouch_fair | fs_opt | [
0.7686622142791748,
0.39780503511428833,
-0.44733428955078125,
-0.20754164457321167,
-0.2753909230232239,
-1.2647981643676758,
1.0835134983062744,
1.0666414499282837,
-0.6332485675811768,
0.29528093338012695,
0.6801505088806152,
0.12228561192750931,
-0.967621922492981,
0.18562071025371552,... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Polish.
Problem:So we've developed a small microcomputer that is blinking somewhere behind her back and is operating this all by the way she trains it to use her individual muscle signals.
Solution: | Zaprojektowaliśmy więc mały komputer, który mruga gdzieś za jej plecami i wszystkim steruje. Amanda "" trenuje "" go, aby rozpoznawał jej indywidualne sygnały. | 8 | NIv2 | task1092_ted_translation_en_pl | zs_opt | [
-0.7014342546463013,
0.8199996948242188,
-0.6544598937034607,
0.1299157738685608,
0.04594080150127411,
0.25011780858039856,
0.58966064453125,
-0.05553726851940155,
0.6485247611999512,
0.16483570635318756,
-0.11186838150024414,
0.18037904798984528,
-0.2182098627090454,
0.2663792073726654,
... |
Part 1. Definition
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Part 2. Example
[2, 5, 9, 6, 11]
Answer: [2, 5, 11]
Explanation: 6 and 9 are removed from the list because they are divisible by 3.
Part 3. Exercise
[100, 63, -53]
Answer: | [100, -53] | 7 | NIv2 | task370_synthetic_remove_divisible_by_3 | fs_opt | [
0.3310795724391937,
0.009660989977419376,
-0.2931486964225769,
-0.6787099838256836,
0.324167400598526,
-0.17185083031654358,
1.1476625204086304,
-0.19937294721603394,
-0.2869437038898468,
0.14964735507965088,
-0.7304118871688843,
-0.17403215169906616,
-0.4115012288093567,
-0.53648084402084... |
Part 1. Definition
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the author is considering doing something in the future. Say 'yes' if the claim is true otherwise say 'no'
Part 2. Example
CLAIM : The following post is HISTORICAL. POST : Background: I have ocd and the only contamination issue I have is around food. Both parents know this. What has lead me to ask this question is this mornings reaction from parent B.
This morning parent b offered to make me breakfast, I responded how I always do: that’s very kind but I’m happy to come make it myself. Parent b said it was no trouble. I accepted. Two slices of toast came and apu I check the toast for signs of mould. First piece had no issues, I ate it. Second piece however had something green growing on the edge. I cut this bit off but I couldn’t shake in my head that the whole piece must be contaminated and so I took the toast back and apologised that I couldn’t eat it cos of the mould and we checked the date on the bread and it said the 30th December. Nearly a week past its best before. Parent b apologised and we threw it away. No drama.
Nearly identical situation occurred about 6 months ago with parent a. Parent a offered to make me a toasted sandwich. I said that would be very kind but I was happy to make it myself. Parent a said it was no problem, I accepted. When the sandwich came I checked the bread for mould and found green and white stuff growing down one side of the bread. I take it back to the kitchen and explain that it has mould and I’m sorry but I can’t eat it. I will make myself something else. Parent a goes ballistic. I’m “ungrateful and don’t trust them and did I really think they’d feed me mould?” I pointed out the mould- clearly visible. “Well someone must’ve not sealed the bread package properly (ie me) and that’s how it got mouldy.” I asked if parent a had checked the date and that just seemed to escalate their reaction. They stormed out screaming and crying. I checked the bread date and it was 2 or 3 days past the best before.
Aita in either situation? Parent a’s reaction made me think I was. But now I’ve had the same situation with parent b and they didn’t get angry or pissed off maybe I wasn’t the asshole? Obviously I think I need to just make my own food. Then I can’t cause trouble.
Answer: yes
Explanation: The post clearly mentions an event in the past when the author asked some questions to his/her parents and also describes about their reactions on that day. Hence this should be HISTORICAL.
Part 3. Exercise
CLAIM : The following post is HISTORICAL. POST : Ok, so not as black and white as the title sounds, a few months ago my roommate mentioned something about maybe getting a dog eventually (even though our apartment has a no pet rule) at the time I said "yeah that could maybe be cool" and even joked about getting a cat too, but in no way were these actual plans of ours and after that we never talked about it again.
Fast forward to last month where I get home one day and there is a puppy at the apartment. My roommate and 3 other friends spontaneously decided to get a year old puppy from the pound, the puppy is not just my roommates but has been staying at our place since the other friends who also got the dog don't have stable places to live at the moment/a place to keep it. The dog has defecated multiple times in the apartment and I've had to clean it up some of the time because my roommate was at work, it also has woken me up early in the morning multiple times from it barking. I've had roommates in the past and learned that sometimes you need to let some things slide with roommates so as to avoid unnecessary conflict and because of this I've been cool with the dog staying with us for the past month with the promise that the dog will soon be moved somewhere else. Today I was with my friends (the ones who also got the dog) and they were talking about how they might not be able to have somewhere for the dog to stay because of some home issues, I then made the comment that if the dog wasn't gone soon, I was going to tell apartment management about it because I don't want to live with a dog and I could potentially get in trouble with my roommate for letting the dog staying with us.
I haven't threatened to report the dog at all before this and my friends said that it was a dick move of me to drop that on them and that they just needed some more time to figure something out without me threatening them. Am I being an asshole for threatening to report them to management for this?
Answer: | no | 7 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
0.14906692504882812,
0.22195887565612793,
-0.10617845505475998,
0.25536036491394043,
-0.037986818701028824,
-0.1911640614271164,
0.34309765696525574,
1.4381170272827148,
-0.38145893812179565,
-0.38623467087745667,
-0.021564718335866928,
0.22541292011737823,
-0.1956137865781784,
-0.25774690... |
In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
[Q]: W: Oh, look, who's here? Upon my word, if it isn't Mr. White. Oh, Mr. White, you shouldn't have come. M: That's all right. I was told the weather was not good enough. W: Yes, not ideal for flying. M: If it doesn't clear up soon, I'm afraid the flight might be put off. W: Let's hope for the best. M: Mrs. Smith, do you like traveling by air? W: For me there is nothing like traveling by air. It is both speedy and comfortable. Mr. White, there goes the announcement for passengers to board. M: Oh, good news for you. The plane will take off on time as it is clearing up. W: I think I must go now. Thank you for coming to see me off, Mr. White. M: It's a pleasure. Come again, I wish you a pleasant journey. W: Thank you. Good-bye., Question: How does Mrs. Smith feel about traveling by air? (A) She doesn't enjoy flying much. (B) She thinks flight is often delayed because of the weather. (C) She likes it.
[A]: (C) She likes it.
[Q]: W: Good morning, everybody. Today, for our writing class, we are glad to have Mr. Henry Stone with us, a well-known writer in this country. He is going to share with us his writing experiences. Now, Henry, please tell us how you find so many interesting things for your stories. M: OK. I watch people a lot. I do that when I travel. I've been to many countries such as Britain, Italy and Sweden. So I spend a lot of time at airports. While waiting for my flights, I watch people passing by and start my imagination. For example, the other day, when I was waiting for my flight to Greece, I saw a couple. They were buying magazines at that moment. They were not wearing business clothes, but the man was carrying a suitcase. Every few seconds, the woman looked around. I wondered if someone was following them. Perhaps they were running away, and you know, this reminded me of a story in the newspaper that day: a bank clerk stole one million pounds a week before and disappeared with his wife. There was a picture of them in the paper. The couple really looked like the wiz. Maybe I should stop them. Just then, I saw them say goodbye to each other, and the woman walked away. Well, sometimes I make mistakes like that. But I find things like that are very useful for my writing., Question: What did Henry learn from the newspaper that day? (A) A valuable suitcase was missing. (B) A man stole money from a bank. (C) A woman ran away from home.
[A]: (B) A man stole money from a bank.
[Q]: M: Have you finished reading SUPER HERO? W: Yes I enjoyed every page of it. It's so exciting., Question: What are the two speakers probably talking about? (A) A film. (B) A novel. (C) A game.
[A]: | (B) A novel.
| 5 | NIv2 | task247_dream_answer_generation | fs_opt | [
0.41894811391830444,
0.2836754024028778,
-0.5681807398796082,
-0.6235051155090332,
0.9866651296615601,
-0.1310572326183319,
0.5107553601264954,
0.5423641800880432,
0.03410249203443527,
0.3024035096168518,
-0.3765011727809906,
0.4264164865016937,
-0.14186063408851624,
0.12514135241508484,
... |
In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Example input: In January 2011 , the Deputy Secretary General of FIBA Asia , Hagop Khajirian , inspected the venue together with SBP - President Manuel V. Pangilinan .
In January 2011 , FIBA Asia deputy secretary general Hagop Khajirian along with SBP president Manuel V. Pangilinan inspected the venue .
Example output: Paraphrase
Example explanation: The second sentence has the same meaning as the first sentence and is just a paraphrased version of it.
Q: The first one has a tight 0 in the date , while the second and the third have a wide 0 in different positions .
The first has a narrow 0 in the date , while the second and the third have a wide 0 in different positions .
A: | Paraphrase | 3 | NIv2 | task400_paws_paraphrase_classification | fs_opt | [
-0.15351125597953796,
-0.10151493549346924,
-0.004716683179140091,
-0.20229190587997437,
0.408514142036438,
-0.4571402072906494,
0.48853832483291626,
-0.08422797918319702,
0.22544726729393005,
0.33261531591415405,
-0.790691614151001,
0.4431443512439728,
-0.34662824869155884,
0.440806597471... |
Two analogies that relate objects to the associated rooms is given in the form "A : B. C : ?". "A : B" relates object A to room B. Your task is to replace the question mark (?) with the appropriate room for the given object C, following the "A : B" relation.
Ex Input:
couch : parlor. bookshelf : ?
Ex Output:
library
Ex Input:
sofa : parlor. recliner : ?
Ex Output:
den
Ex Input:
recliner : den. table : ?
Ex Output:
| kitchen
| 1 | NIv2 | task1157_bard_analogical_reasoning_rooms_for_containers | fs_opt | [
0.30242764949798584,
0.7361409664154053,
-1.1559860706329346,
0.4732195734977722,
-0.44037821888923645,
0.7339298725128174,
0.7925350666046143,
0.43367063999176025,
0.3879997134208679,
-0.3712795674800873,
-0.16625593602657318,
0.5787314772605896,
-0.2696762681007385,
0.1498907208442688,
... |
Part 1. Definition
In this task, you need to replace a letter in the sentence with another given letter.
Part 2. Example
Sentence: 'group of motorcycle motorists trying to merge into traffic'. Replace the letter 'o' with 'n' in the sentence.
Answer: grnup nf mntnrcycle mntnrists trying tn merge intn traffic
Explanation: The letter 'o' has been replaced in the letter 'n'.
Part 3. Exercise
Sentence: 'black show on a written on skate board'. Replace the letter 't' with 'g' in the sentence.
Answer: | black show on a wriggen on skage board | 7 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.49434694647789,
0.5221146941184998,
-0.1509811282157898,
-0.8667073845863342,
1.0940654277801514,
-0.2600354850292206,
-0.12667500972747803,
0.2630523145198822,
0.2997203469276428,
-0.033055223524570465,
-0.28374576568603516,
-0.05697564780712128,
-0.2474314123392105,
-0.631549596786499... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Example Input: ويجب أن تحدث هذه الحركة في كل مكان. وإلا فأن كل حكومة منفردة سيكون لديها آلة الأعذار الآلية. بانهم لا يستطيعون تحمل عبء العمل العالمي بمفردهم.
Example Output: And it needed to happen everywhere; otherwise, every individual government would have this built-in excuse mechanism that they couldn't possibly carry the burden of global action alone.
Example Input: أدم: ما الذي فعلته بها يا دِيرِيك ؟
Example Output: AO: What did you do with it, Derek?
Example Input: لديّ في هذا الصّدد أخبار جيدة وأخرى سيئة.
Example Output: | So I have good news and bad news.
| 3 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
-0.4733666777610779,
0.09259040653705597,
0.027183733880519867,
-0.5468367338180542,
-0.7335897088050842,
0.11646321415901184,
0.40020471811294556,
0.25197041034698486,
0.34210851788520813,
-0.40451040863990784,
-0.8984585404396057,
-0.026997296139597893,
-0.1460038125514984,
0.08932998776... |
Teacher:You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Teacher: Now, understand the problem? Solve this instance: Event:PersonX gets money. Intent: 1) to be calm
Student: | Positive | 6 | NIv2 | task923_event2mind_classifier | zs_opt | [
-0.3211381733417511,
0.1340854912996292,
0.021606745198369026,
-0.675896167755127,
-0.5531302690505981,
-0.8637694716453552,
0.6812692880630493,
0.5215868949890137,
0.2966882586479187,
-0.23006027936935425,
0.4386729598045349,
0.17718744277954102,
-0.8788009285926819,
-0.7057471871376038,
... |
Teacher:Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: การเลือกตั้งซ่อมใน Henley มีผู้ชนะคือ Tory John Howell โดยมีเสียงข้างมากเกินกว่า 10,000 เสียง แต่พ่ายแพ้ต่อคะแนนของ Liberal Democrats ที่สันนิษฐานไว้ว่าใกล้จะเอาชนะทั้งพรรคอนุรักษ์นิยมและพรรคแรงงานได้แล้ว
Student: | ヘンリーでの補欠選挙は、トーリー党ジョン・ハウエルが10,000票を超す過半数を獲得して勝利し、保守党と労働党を共に僅差で倒すと予想されていた自由民主党候補者を大差で破った。 | 6 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
-0.27056434750556946,
0.36987918615341187,
0.18397563695907593,
0.07553251832723618,
-0.3967103958129883,
-0.8132295608520508,
0.320977121591568,
0.3048877716064453,
-0.40556102991104126,
-0.4577977657318115,
-0.25014233589172363,
0.8736672401428223,
-0.4313291013240814,
0.2543897926807403... |
TASK DEFINITION: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns 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 argument 1 is greater/less than argument 2
12. diff: returns the difference between two arguments
13. filter eq/not eq: returns the subview whose values under the header column is equal/not equal to argument 3
14. filter greater/less: returns the subview whose values under the header column is greater/less than argument 3
15. filter greater eq /less eq: returns the subview whose values under the header column is greater/less or equal than argument 3
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 argument 3
18. all greater/less: returns whether all the values under the header column are greater/less than argument 3
19. all greater eq/less eq: returns whether all the values under the header column are greater/less or equal to argument 3
20. most eq/not eq: returns whether most of the values under the header column are equal/not equal to argument 3
21. most greater/less: returns whether most of the values under the header column are greater/less than argument 3
22. most greater eq/less eq: returns whether most of the values under the header column are greater/less or equal to argument 3
PROBLEM: less { hop { filter_eq { all_rows ; player ; eric king } ; round } ; hop { filter_eq { all_rows ; player ; lionel gates } ; round } } = true
SOLUTION: select the rows whose player record fuzzily matches to eric king . take the round record of this row . select the rows whose player record fuzzily matches to lionel gates . take the round record of this row . the first record is less than the second record .
PROBLEM: eq { hop { nth_argmin { all_rows ; date of appointment ; 3 } ; replaced by } ; ivan pudar } = true
SOLUTION: select the row whose date of appointment record of all rows is 3rd minimum . the replaced by record of this row is ivan pudar .
PROBLEM: eq { min { filter_eq { all_rows ; surface ; clay } ; date } ; january 8 , 2001 } = true
SOLUTION: | select the rows whose surface record fuzzily matches to clay . the minimum date record of these rows is january 8 , 2001 .
| 8 | NIv2 | task110_logic2text_sentence_generation | fs_opt | [
0.2285982370376587,
-0.058152828365564346,
-0.4048330783843994,
0.17311722040176392,
0.33728471398353577,
-0.5603174567222595,
0.48332712054252625,
0.3689069449901581,
-0.013875104486942291,
-0.30026528239250183,
-0.2509138584136963,
0.14905425906181335,
0.24066869914531708,
0.317293345928... |
Detailed Instructions: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Problem:Easily transfer pictures from iPhone to my computer and other device with regular USB port without iTunes.Or you can use it like a extra storage.The app is easy to use .
Solution: | positive | 8 | NIv2 | task1312_amazonreview_polarity_classification | zs_opt | [
-0.4412487745285034,
-0.17313918471336365,
0.053337372839450836,
-0.617963433265686,
-0.0104743093252182,
0.3492860198020935,
0.26755332946777344,
0.13527731597423553,
0.4556766152381897,
0.21545599400997162,
-0.07654443383216858,
-0.2764677405357361,
-0.28688618540763855,
0.26106905937194... |
Q: Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Students at Helston Community College say the gulls are a menace and follow them around during breaks, hoping to steal their food. Harris Hawks are being flown around the school's grounds once a week to scare the gulls away. The school said it had tried a number of measures to try to scare off the gulls but nothing seemed to work. Maintenance manager, Richard Coode, said: "The seagulls are quite vicious. They come down and attack and take whatever they want. "They won't stop until they get what they want. There haven't been any bad incidents, but the kids have had some scratches from the seagulls pecking at them." Teachers said they responded by making sure that rubbish was picked up quickly and even put fake owls on the roofs. Student Jessica Sneddon said: "It's mainly on the field at lunchtime. If you put your food down next to you, you will get a load of them coming down attacking for the food." The school is hopeful it may have found a solution in the form of Richy Hicks who trains and owns Harris Hawks. Mr Hicks said: "With the amount of gulls that are here it can take up to three years to slowly move them out. "It's moving them slowly but they are eventually going. They are getting the message."
A: | Bird of prey tackle Helston college's seagulls | 7 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
-0.23404186964035034,
0.6126984357833862,
0.33628714084625244,
-0.39111393690109253,
-0.03153904154896736,
-0.7747803926467896,
-0.5636146664619446,
0.5174434185028076,
-0.9330064058303833,
-0.062078580260276794,
0.025467533618211746,
0.2678346633911133,
-0.6533645391464233,
-0.10972148925... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
او همچنین به یک عمل جراحی مجدد روی سینه اش نیاز داشت.
A: | Ha avuto bisogno di un intervento di aggiustamento al petto. | 7 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-0.5710739493370056,
1.4373359680175781,
-0.23838336765766144,
-0.021924825385212898,
-0.4413464069366455,
0.4189631938934326,
0.2319921851158142,
0.7077655792236328,
0.5178135633468628,
-0.5269442796707153,
-0.7564069032669067,
0.09593656659126282,
0.022052409127354622,
0.7366328239440918... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Passage: From 1983 until Kunstler's death in 1995, Ron Kuby was his junior partner. The two took on controversial civil rights and criminal cases, including cases where they represented Sheikh Omar Abdel-Rahman, head of the Egyptian-based terrorist group Gama'a al-Islamiyah, responsible for the 1993 World Trade Center bombing; Colin Ferguson, the man responsible for the 1993 Long Island Rail Road shooting, who would later reject Kuby & Kunstler's legal counsel and choose to represent himself at trial; Qubilah Shabazz, the daughter of Malcolm X, accused of plotting to murder Louis Farrakhan of the Nation of Islam; Glenn Harris, a New York City public school teacher who absconded with a fifteen-year-old girl for two months; Nico Minardos, a flamboyant actor indicted by Rudy Giuliani for conspiracy to ship arms to Iran; Darrell Cabey, one of the persons shot by Bernard Goetz; and associates of the Gambino crime family.
Link Information: Ronald L. Kuby (born July 31, 1956) Question: How old was Ron Kuby when he began his partnership with Kunstler? | Answer: 27 | 0 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
0.8333131074905396,
0.1426629275083542,
-0.5765237808227539,
-0.6878303289413452,
-0.12736383080482483,
0.23998048901557922,
0.6936429142951965,
0.9744406342506409,
-0.03511468693614006,
0.1108572855591774,
-0.18291351199150085,
0.7253649234771729,
-0.7263937592506409,
0.5577685832977295,
... |
Given a sentence in Chinese, generate a new Chinese 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.
One example is below.
Q: 静音开关用于激活灯光 。
A: 使用灯开关命令取出针头 。
Rationale: This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about the lights and the changes in the sentence follows the commonsense knowledge.
Q: 剧院的票让你进去看演出
A: | 电影院的票 匹配你进来看演出。 | 9 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
0.2649191617965698,
0.11312039196491241,
-0.33379292488098145,
0.15527823567390442,
0.3735150098800659,
-0.6127580404281616,
-0.21688057482242584,
0.8602678775787354,
-0.10556185245513916,
0.002220022724941373,
-0.34339410066604614,
-0.13860031962394714,
-0.058377742767333984,
0.0276868212... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
non volevamo far ridere, non volevamo - beh sì, volevamo far ridere è questa la verità.
nie próbowaliśmy być zabawni... właściwie to chcieliśmy być zabawni, to fakt.
Qualche settimana dopo aver lasciato l'Afghanistan, leggo un titolo su Internet.
W kilka tygodni po moim wyjeździe Afganistanu, widzę nagłówki w internecie:
Quello che vedete qui, questa cosa gialla, non è un raggio della morte. E 'solo per mostrarvi che se avete telecamere o altri tipi di sensori perchè è alto, è alto 1,8 metri, potete vedere ostacoli come cespugli e cose del genere.
| To żółte, to nie śmiercionośne promienie. To wskaźnik pokazujący, że jeśli macie kamery lub innego rodzaju czujniki, ponieważ ma 1,80m wzrostu, będziecie widzieć przeszkody takie jak krzaki.
| 0 | NIv2 | task1253_ted_translation_it_pl | fs_opt | [
-1.0069811344146729,
0.10789170861244202,
0.11422749608755112,
-0.3061199188232422,
-0.8554434776306152,
-0.30511265993118286,
0.7510038018226624,
0.8324822187423706,
-0.1398640125989914,
0.04395514354109764,
-1.1942105293273926,
0.3980858027935028,
-0.5080987811088562,
0.35581666231155396... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input list, and do the same for the numerical elements.
['7835', '6137', '1533', 'V', '9243', '9243', 'S']
Output: | V, S, 7835, 6137, 1533, 9243, 9243 | 1 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
0.15670758485794067,
0.6994515657424927,
-0.4339618682861328,
0.09735894203186035,
0.13856323063373566,
0.04923883453011513,
0.6683804392814636,
0.05256086215376854,
0.1847257763147354,
0.26992055773735046,
-0.5426181554794312,
0.008307286538183689,
0.22357414662837982,
-0.0719584375619888... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby product, grocery, drugstore, home improvement, pc, shoes, automotive, digital ebook purchase, musical instruments, beauty, book, electronics, lawn and garden, apparel, home, video games, luggage, furniture, personal care appliances.
I wish I could say this food worked, since the food he's eating now (he doesn't need it as bad as his brother) is $7 a pound. The food arrived on a Thursday and he threw up every day, 2x a day, for 4 days. I ended up letting him have a bit of his brother's Royal Canin Rx food. I think this food contains too much corn. Corn products are one of the man sources, along with corn gluten. Cats are carnivores.we won't see them raiding corn fields on the middle of the night. The food is even an unappealing yellow color!! I ended up getting a different brand, one that isn't full of CORN!
Output: | pet products | 1 | NIv2 | task617_amazonreview_category_text_generation | zs_opt | [
-0.3885312080383301,
0.4292391538619995,
-0.14622199535369873,
-0.004791255574673414,
-0.06298387795686722,
0.6174293756484985,
0.40362679958343506,
0.9990285634994507,
-0.3900429904460907,
0.11574739217758179,
0.1912670135498047,
0.06831976771354675,
-0.5830906629562378,
-0.40084737539291... |
instruction:
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in the sentence. You can use context to find the motivation; however, all the inputs do not provide context. Also, in some inputs, there can be zero motivation; output, 'None' in this case.
question:
Context: Sunny brought his son to a Yankees game. The boy wanted to watch his favorite player Mark Teixeira. Inning after inning, the Yankees were down more and more.
Sentence: Suddenly, the boy felt a spark of excitement and elation.
Character: Mark teixeira
answer:
None
question:
Context: I came home from school. My mom asked me if I had a good day.
Sentence: At the same time, she noticed the tattoo on my leg.
Character: Mom
answer:
to be a good parent
question:
Context: Jane was reading in bed. Suddenly, she noticed loud music coming from next door. She tried to ignore it but it persisted for hours. Finally, she marched next door.
Sentence: She yelled at her neighbor, who apologized profusely.
Character: Jane
answer:
| it to be quiet
| 9 | NIv2 | task294_storycommonsense_motiv_text_generation | fs_opt | [
-0.24982160329818726,
-0.052445247769355774,
-0.7328460812568665,
0.38500744104385376,
0.12297496199607849,
-0.2400376796722412,
0.264673113822937,
0.7543052434921265,
0.5048034191131592,
0.1527775228023529,
0.007337795104831457,
0.23367591202259064,
-0.7058394551277161,
-0.349355101585388... |
Q: You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Sentence: Because xname is affordable and a Southern place and it provides adequate food, satisfying service and decent ambiance. It is in Midtown, it is the best restaurant. ; Categories: price, recommend, decor
A: | price[affordable], recommend[yes], decor[acceptable] | 7 | NIv2 | task1597_nyc_slot_filling | zs_opt | [
-1.0209770202636719,
0.5381296873092651,
-0.24661539494991302,
-0.588032066822052,
-0.583709716796875,
-0.1333828866481781,
0.3430260419845581,
-0.07635369151830673,
0.4532809257507324,
-0.07041100412607193,
0.655880868434906,
-0.2110663801431656,
-0.48579561710357666,
0.21273544430732727,... |
Given the task definition and input, reply with output. In this task your given two statements in Tamil. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
அந்த மனிதன் ஈயை ஓங்கியடித்தான்
ஈ பறந்து சென்றது
| effect | 5 | NIv2 | task1177_xcopa_commonsense_cause_effect_ta | zs_opt | [
-0.4601449966430664,
0.3127754330635071,
0.10663942992687225,
-0.2724384665489197,
-0.12017782032489777,
-0.7160656452178955,
-0.501807689666748,
0.6705519556999207,
-0.003618769347667694,
0.09950283169746399,
-0.8326780796051025,
0.24567602574825287,
-0.7885721921920776,
0.239697873592376... |
Q: Given a sentence in Arabic, generate a new Arabic 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.
« إنكم » يا أهل مكة « لترثون » ترثون « باباً » هو باب النار « مقفلاً » مكتوباً في اللوح المحفوظ.
A: | « إنكم » يا أهل مكة « لتولون » ترثون « بابا » هو باب النار « موصوفا » موصوفا في اللوح المحفوظ. | 7 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | zs_opt | [
0.1584855169057846,
0.2048952281475067,
-0.13256248831748962,
-0.49319127202033997,
-0.45114991068840027,
-0.4592432379722595,
1.180133581161499,
0.6514198184013367,
0.2026047557592392,
-0.36875057220458984,
-0.7844994068145752,
0.3342776894569397,
-1.279129981994629,
0.22977681457996368,
... |
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.
We had no problem getting this on. There was some issues with the fit and it wouldn't quite close, but we just pushed them together a tad bit more. The cats like it. Not too bad of odor either. We have 2 small dogs and so far, they haven't scratched it at all. And it's nice that you can clean it. | Good Review | 0 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.7224160432815552,
0.467499703168869,
-0.740237832069397,
0.3083914518356323,
0.1788693219423294,
-1.199576497077942,
0.17969205975532532,
0.9208880066871643,
0.28320765495300293,
0.5624343156814575,
-0.4111982583999634,
0.8490679860115051,
-0.38545528054237366,
-0.27029821276664734,
-... |
Q: You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
System Reference: may i help you further?
Original Reference: how else can i help?.
A: | 1 | 7 | NIv2 | task1186_nne_hrngo_classification | zs_opt | [
-0.8106271624565125,
1.2832201719284058,
-0.4217880368232727,
0.14795592427253723,
-0.42300641536712646,
-0.8295974731445312,
0.9557594060897827,
0.8502902984619141,
0.16342708468437195,
-0.008752319030463696,
-1.1262855529785156,
-0.14717824757099152,
-1.017048716545105,
-0.32382774353027... |
Detailed Instructions: In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
See one example below:
Problem: Beginning: Butch had a really old computer. Middle 1: Butch decided to order a new computer online. Middle 2: Butch noticed that a storm was approaching to his town. Ending: It arrived and Butch was much happier.
Solution: 1
Explanation: People generally don't feel happy about natural disasters like storms. Therefore, we choose 1 in this case.
Problem: Beginning: Amy always wanted to play the flute. Middle 1: Amy did not hire an instructor to help her learn to play the flute. Middle 2: Amy hired an instructor to help her learn to the play the flute. Ending: Amy was very committed.
Solution: | 2 | 4 | NIv2 | task069_abductivenli_classification | fs_opt | [
-0.706116259098053,
0.4317774176597595,
-0.059697240591049194,
-0.19469280540943146,
-0.20159585773944855,
-0.6226229667663574,
0.19411587715148926,
0.9134715795516968,
0.16921263933181763,
0.376017689704895,
-0.3168046474456787,
0.1444757729768753,
-0.16642388701438904,
-0.280226349830627... |
Given an abstract of a paper, generate a title for this paper such that conveys the key focus of the paper.
Abstract: The cumulus-fimbria interaction was investigated in vitro with endometriosis peritoneal fluid (PF). On the oviductal fimbria of the golden hamster, incubated with endometriosis and nonendometriosis PF and culture medium 199 contained 4% bovine serum albumin (control), was placed the mouse oocyte-cumulus complex at 5-minute intervals for 60 to 70 minutes. Incubation periods until the loss of fimbrial capability of ovum capture (ovum capturability disappearance time [OCDT] ) were 23.3 +/- 2.7 (standard error of the mean), 51.7 +/- 2.9, and 61.3 +/- 0.9 minutes with endometriosis, nonendometriosis PF, and control, respectively. OCDT was significantly decreased with cell-free and ultrafiltrated endometriosis PF containing a molecular size greater than 100,000 (26.0 +/- 2.8 and 26.1 +/- 2.5 minutes, respectively). A factor inhibiting fimbrial capability of ovum capture is present in endometriosis PF. | A factor inhibiting ovum capture by the oviductal fimbriae present in endometriosis peritoneal fluid. | 0 | NIv2 | task619_ohsumed_abstract_title_generation | zs_opt | [
-0.21829810738563538,
-0.037491489201784134,
-0.4065711200237274,
-0.1578129231929779,
-0.13045957684516907,
-0.5148129463195801,
-1.179832935333252,
0.9934158325195312,
0.2743075489997864,
0.5773167610168457,
-0.6205833554267883,
-0.25664764642715454,
-0.9349391460418701,
-0.2435849010944... |
Detailed Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset of this corpus is 'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes, 'ADP': Adposition is a cover term for prepositions and postpositions, 'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner, 'AUX': An auxiliary is a function word that accompanies the lexical verb of a verb phrase and expresses grammatical distinctions not carried by the lexical verb, such as person, number, tense, mood, aspect, voice or evidentiality, 'CCONJ': A coordinating conjunction is a word that links words or larger constituents without syntactically subordinating one to the other and expresses a semantic relationship between them, 'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context, 'INTJ': An interjection is a word that is used most often as an exclamation or part of an exclamation, 'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea, 'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction, 'PART': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech, 'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context, 'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object, 'PUNCT': Punctuation marks are non-alphabetical characters and character groups used in many languages to delimit linguistic units in printed text, 'SCONJ': A subordinating conjunction is a conjunction that links constructions by making one of them a constituent of the other. The subordinating conjunction typically marks the incorporated constituent which has the status of a (subordinate) clause, 'SYM': A symbol is a word-like entity that differs from ordinary words by form, function or both, 'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause, 'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
See one example below:
Problem: Sentence: An editorial in the church - owned Deseret Morning News in Salt Lake City earlier this year acknowledged that " the state 's history , a {{ conservative }} belief in free choice , and an unwillingness to stir up a hornet 's nest in the national media have likely all contributed to the kid - glove approach lawmakers and law - enforcement officers have taken when dealing with polygamous communities . "
Word: conservative
Solution: ADJ
Explanation: "conservative" is an Adjective (ADJ) since it adds to the description of the Noun (NOUN) "belief".
Problem: Sentence: An American passport should get you right into the country , there is no need for a VISA , for {{ six }} months .
Word: six
Solution: | NUM | 4 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.9092737436294556,
0.38291895389556885,
0.1468985378742218,
-0.12546709179878235,
0.16211917996406555,
-0.6920291185379028,
0.8346324563026428,
0.9220302104949951,
-0.634655237197876,
-0.3255652189254761,
-0.25157102942466736,
0.15310850739479065,
-0.44359850883483887,
0.47874072194099426... |
Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
--------
Question: Staal wordt gebruikt voor de vervaardiging van de meeste gereedschappen.
Answer: Staal wordt geschat op de vervaardiging van de meeste gereedschappen.
Question: Als je sterft om een brand te stichten, moet je lucifers krijgen.
Answer: Als je een brand wilt stichten, moet je lucifers krijgen.
Question: Het idee van het wassen van je handen is gezondheid.
Answer: | Het uitgangspunt van het wassen van uw handen is gezondheid.
| 7 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
0.1854916661977768,
1.3747103214263916,
-0.7195674180984497,
-0.2939841151237488,
-0.15890935063362122,
-1.1392403841018677,
0.05609291046857834,
0.7613941431045532,
0.2088165432214737,
-0.21164853870868683,
-0.33074474334716797,
1.0598357915878296,
-0.642632007598877,
0.36148402094841003,... |
In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, like: [1,2,3].
[42, -57, 62, 14, -89, 19, 56, -90, 32, 21, -2, -9]
[-7.5, 2.5, 38.0, -37.5, -35.0, 37.5, -17.0, -29.0, 26.5, 9.5, -5.5]
[97, -97, 10]
[0.0, -43.5]
[71, 48, -16, -56, 85, -9, -98, 78, 85]
| [59.5, 16.0, -36.0, 14.5, 38.0, -53.5, -10.0, 81.5]
| 0 | NIv2 | task124_conala_pair_averages | fs_opt | [
-0.5206664204597473,
0.11913024634122849,
-0.7484713792800903,
-0.1719706654548645,
-0.04027847945690155,
0.4197925627231598,
0.3855134844779968,
0.6917294859886169,
-0.11421167850494385,
-0.20949336886405945,
-1.0375587940216064,
-0.23492619395256042,
0.020043956115841866,
0.1731232553720... |
Detailed Instructions: Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, use as few words as possible from the given context. Use a response that is uncommon/non-stereotypical, so that it is less predictable. To be less repetitive, please vary your language for each question.
Problem:Context: All of us had minor tweaks to what we wore last year , becoming more authentic with each successive visit . We got there about fifteen minutes before the gates opened and got to watch the Welcome to the Faire show over the front gate . Soon after the gates opened , we were wandering through the streets of Bristol admiring the items in the shops and interesting sites at the Faire .
Question: Why has the narrator decided to make tweaks before the Faire ?
Solution: | The narrator wants to avoid repeating the same costume . | 8 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
0.9555767178535461,
0.7248426079750061,
-0.16490225493907928,
0.21023991703987122,
0.09161952883005142,
-0.3727750778198242,
0.16980412602424622,
-0.013757801614701748,
0.70979905128479,
0.3043573200702667,
-0.2919076681137085,
0.7437487840652466,
-0.998742938041687,
0.2772250771522522,
... |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and report that option.
--------
Question: Question: The average monthly income of P and Q is Rs. 5050. The average monthly income of Q and R is Rs. 6250 and the average monthly income of P and R is Rs. 5200. The monthly income of P is:
Option A: 3500
Option B: 4000
Option C: 4050
Option D: 5000
Option E: 6000
Answer: Option B
Question: Question: In what time will a train 200 m long cross an electric pole, it its speed be 144 km/hr?
Option A: 2 sec
Option B: 2.7 sec
Option C: 3.5 sec
Option D: 5 sec
Option E: 9.5 sec
Answer: Option D
Question: Question: A sum of Rs. 2900 amounts to Rs. 3422 in 3 years. Had the rate of interest be 4% higher then what would the sum amount in the same time period?
Option A: Rs. 3770
Option B: Rs. 3683
Option C: Rs. 3596
Option D: Data inadequate
Option E: None of these
Answer: | Option A
| 7 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
-0.14182770252227783,
0.19134241342544556,
-0.3633787930011749,
0.05747090280056,
0.17776599526405334,
0.3667849600315094,
0.37984657287597656,
1.0346362590789795,
-0.310698539018631,
0.2109507918357849,
-1.070494294166565,
0.029285099357366562,
0.25493544340133667,
-0.45567062497138977,
... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Problem:Y, porque los tenemos, podemos medir cosas.
Solution: | E dato che abbiamo questi bei diagrammi, possiamo misurare le cose. | 8 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
0.2509533166885376,
0.7333872318267822,
-0.08987373113632202,
-0.2807493209838867,
0.07759509980678558,
-1.195246934890747,
-0.25604474544525146,
0.9369027614593506,
0.28613168001174927,
-0.11820493638515472,
-0.8126845359802246,
0.6358753442764282,
-0.2641928791999817,
0.3318977653980255,... |
Definition: Two analogies that relate objects to the associated rooms is given in the form "A : B. C : ?". "A : B" relates object A to room B. Your task is to replace the question mark (?) with the appropriate room for the given object C, following the "A : B" relation.
Input: bookshelf : hallway. toolbox : ?
Output: | garage | 2 | NIv2 | task1157_bard_analogical_reasoning_rooms_for_containers | zs_opt | [
0.2748023271560669,
1.1303033828735352,
-0.9654045701026917,
0.5148236751556396,
-0.21985718607902527,
0.36833298206329346,
1.048877239227295,
0.19805637001991272,
0.2901650071144104,
-0.4199073910713196,
-0.2162834256887436,
0.3073458671569824,
-0.03303077071905136,
0.09613677859306335,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
And the sun runs his course for a period determined for him: that is the decree of (Him), the Exalted in Might, the All-Knowing.
Solution: و خورشید [نیز برای آنان نشانهای از قدرت ماست] که همواره به سوی قرارگاهش حرکت میکند. این اندازه گیری توانای شکست ناپذیر و داناست،
Why? This is a good example. The above sentence is correctly translated from English to Persian.
New input: He replied: "Behold, they are close on my footsteps: I hastened to thee, O my Lord, to please thee."
Solution: | گفت: پروردگارا! من به سوی تو شتافتم تا خشنود شوی. آنان گروهی هستند که اینک به دنبال من میآیند. | 0 | NIv2 | task656_quran_en_fa_translation | fs_opt | [
-0.4362052381038666,
1.1657767295837402,
-0.5595926642417908,
-0.11344777047634125,
-0.6450403928756714,
-0.32491692900657654,
0.6077229976654053,
0.3107995390892029,
0.11179378628730774,
0.13344940543174744,
-0.2843177914619446,
0.4443635642528534,
-0.07574161142110825,
0.1956072151660919... |
In this task, you need to reverse 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.
Input: Consider Input: Sentence: 'a street performer copying a woman on her phone'. Reverse all words of length '7' in the given sentence.
Output: a street performer gniypoc a woman on her phone
Input: Consider Input: Sentence: 'a crowd of people are walking around some tents in the street'. Reverse all words of length '6' in the given sentence.
Output: a crowd of elpoep are walking dnuora some tents in the teerts
Input: Consider Input: Sentence: 'a skateboarder does a jump trick over a sewer hole'. Reverse all words of length '5' in the given sentence.
| Output: a skateboarder does a jump kcirt over a rewes hole
| 2 | NIv2 | task378_reverse_words_of_given_length | fs_opt | [
-0.37144386768341064,
1.0115480422973633,
-0.216062530875206,
-0.5124754905700684,
0.048108696937561035,
-0.2902522683143616,
-0.07549713551998138,
0.4283284842967987,
0.12015549838542938,
-0.3529370427131653,
-1.5779463052749634,
0.029377076774835587,
-0.7463173270225525,
-0.0851908922195... |
In this task, you will be given two sentences sentence1 and sentence2. You should decide whether the second sentence is entailed(agreed) by the first sentence. If it does entail, answer "yes", else answer "no".
--------
Question: sentence1:person is trailing person sentence1:person is being defeated by person
Answer: yes
Question: sentence1: is talking about book_author sentence1:book_author is asking
Answer: no
Question: sentence1:employer finds location sentence1:employer is taking in location
Answer: | no
| 7 | NIv2 | task970_sherliic_causal_relationship | fs_opt | [
-0.7678173780441284,
0.7591131925582886,
0.42095932364463806,
-0.434262216091156,
-0.0397188775241375,
-0.3098790645599365,
0.4503990411758423,
0.4221450686454773,
0.4801391363143921,
-0.6314391493797302,
-0.9434977769851685,
-0.9505831599235535,
-1.0045466423034668,
-0.3382033705711365,
... |
instruction:
Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
question:
Which is the penultimate letter of the Greek alphabet?
answer:
psi
question:
Which former 'Have I Got News For You' presenter made an occassional appearance as Patrick in 'One Foot In The Grave'?
answer:
angus deayton
question:
What is the title of the only film for which actor John Wayne won an Oscar?
answer:
| true grit
| 9 | NIv2 | task898_freebase_qa_answer_generation | fs_opt | [
0.038563892245292664,
0.5996479988098145,
0.1164461225271225,
0.28545206785202026,
-0.09698814153671265,
-0.6149773597717285,
0.9623595476150513,
-0.6061220169067383,
0.435472309589386,
0.6314412355422974,
0.037170302122831345,
0.3210234045982361,
-0.7013760805130005,
0.043957456946372986,... |
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Example: Monterey is one of those.
Example solution: מונטריי היא אחת מהם.
Example explanation: The English sentence is correctly translated into Hebrew. The city `Monterey` is correctly translated as `מונטריי`.
Problem: So it took four years to take apart.
| Solution: אז זה לקח ארבע שנים לפרק אותו. | 5 | NIv2 | task1221_ted_translation_en_he | fs_opt | [
0.4586670696735382,
1.157332420349121,
0.2554088234901428,
-0.2918050289154053,
-0.008108759298920631,
-0.5441644191741943,
0.5448019504547119,
0.11156442761421204,
1.0628219842910767,
-0.371121346950531,
-0.3745116889476776,
0.3801417946815491,
-0.7124879360198975,
-0.014074079692363739,
... |
Detailed Instructions: Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Q: Sie können einen Duschkopf verwenden, um Wasser zu sprühen.
A: | Sie können einen Duschkopf anwinkeln, um Wasser zu werfen. | 9 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.3083498179912567,
1.0616751909255981,
0.1496647745370865,
-0.8119325637817383,
-0.26232337951660156,
-0.897942841053009,
1.1403789520263672,
0.5691285133361816,
0.25796085596084595,
-0.13011819124221802,
0.07564835250377655,
0.19586637616157532,
-1.021007776260376,
-0.09942975640296936,... |
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question to be answered. Each step in our decomposition should refer to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.)
Here are the list of step templates and their description:
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
question: what is sa
#1 return sa
#2 return what is #1
question: Who caught the final TD pass?
#1 return TD pass
#2 return the final #1
#3 return who caught #2
question: return me the number of papers after 2000 .
| #1 return papers
#2 return #1 after 2000
#3 return number of #2
| 0 | NIv2 | task176_break_decompose_questions | fs_opt | [
0.7310003638267517,
-0.004393287003040314,
-0.8714428544044495,
0.6771087050437927,
0.10560894757509232,
-0.267045259475708,
1.2813339233398438,
0.1002933457493782,
-0.32265761494636536,
0.6472166776657104,
-0.5294325351715088,
0.2061462104320526,
0.19359111785888672,
0.49971598386764526,
... |
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
[EX Q]: what was the rating of Once Upon a Time in China?
[EX A]: good
[EX Q]: how popular was ¡Three Amigos!?
[EX A]: famous
[EX Q]: what films did Bill Pullman star in?
[EX A]: | Independence Day, Spaceballs, Lost Highway, Scary Movie 4, While You Were Sleeping, Titan A.E., Lake Placid, Brokedown Palace, Malice, The Serpent and the Rainbow, The Last Seduction, Sommersby, Zero Effect, Dear Wendy, Alien Autopsy, Phoebe in Wonderland, Mr. Wrong, The End of Violence, Brain Dead, The Favor, Sibling Rivalry, Liebestraum, Ignition, Rick, Rio Sex Comedy
| 6 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.6524533033370972,
0.3949403762817383,
-0.9782723784446716,
-0.22993965446949005,
-0.2629435658454895,
0.20362941920757294,
1.2143352031707764,
0.26348456740379333,
-0.27831903100013733,
-0.1229175478219986,
-0.6296169757843018,
0.29606112837791443,
-0.13871657848358154,
-0.1058947667479... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
One example is below.
Q: Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.
A: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes.
Rationale: The Polish sentence is correctly translated into Galician, because the meaning is preserved.
Q: Wielu z nich, prawie większość, częściej pisze SMS-y do znajomych niż rozmawia z nimi twarzą w twarz.
A: | E moitos deles, case a maioría, prefiren escribirlles aos amigos que falar con eles cara a cara. | 9 | NIv2 | task1261_ted_translation_pl_gl | fs_opt | [
-1.3021390438079834,
1.3473429679870605,
-0.25990086793899536,
-1.2086658477783203,
-0.04445374757051468,
-1.0651099681854248,
1.0136622190475464,
-0.03942800313234329,
0.06545254588127136,
0.0023950058966875076,
-0.3303793966770172,
1.3698067665100098,
0.03970000147819519,
0.1785700917243... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
و این ممکنه یک ایده ساده به نظر برسه ، و همینطور هم هست ، اما می تونه تاثیری بزرگی بر زندگی مردم داشته باشد
A: | וזה אולי נראה כמו רעיון פשוט. הוא אכן כך. אבל השפעתו על חיי אנשים יכולה להיות עצומה. | 7 | NIv2 | task1269_ted_translation_fa_he | zs_opt | [
-0.600538969039917,
1.2424602508544922,
0.36099278926849365,
-0.17768846452236176,
-0.31948286294937134,
-0.5775586366653442,
1.0959436893463135,
0.043639738112688065,
0.9808449745178223,
-0.31364959478378296,
-0.5096228122711182,
0.27461716532707214,
-0.5976795554161072,
0.022145066410303... |
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