inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Detailed Instructions: In this task, you are given a sentence and a category word that defines the relation between the input sentence and the output to be generated. Your job is to generate another sentence that satisfies the relation specified by the category. If the category is specified as entailment, then the output sentence must clearly agree with the input sentence. If the category specified is contradiction , then the output sentence must clearly disagree with the input sentence.
Q: sentence_A: Nobody is pouring ingredients into a pot. category: contradiction
A: | A man is putting vegetables into a pot | 9 | NIv2 | task1613_sick_given_category_generate_sentence | zs_opt | [
-0.37836259603500366,
0.7507465481758118,
0.19532008469104767,
-0.15291708707809448,
-0.17192012071609497,
-0.6245215535163879,
0.2698013186454773,
0.27471810579299927,
0.2710895538330078,
-0.5026160478591919,
-0.45656105875968933,
-0.2709740102291107,
-0.4225643575191498,
0.17622527480125... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is used for the Tail or not. The usage describes everyday affordances or uses of objects and includes both typical and atypical uses. For example, a popcorn bucket can typically be used to hold popcorn, but it could also serve as a hat in atypical situations. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: PersonX becomes distracted<sep>Tail: Can have an accident.
A: | No | 9 | NIv2 | task1209_atomic_classification_objectuse | zs_opt | [
0.3200860619544983,
0.5210665464401245,
0.2568405270576477,
-0.0864618718624115,
-0.4900359511375427,
-1.2677838802337646,
1.1440227031707764,
0.600111722946167,
-0.44575992226600647,
-0.46147215366363525,
-0.619219183921814,
-0.26319557428359985,
-0.5850521326065063,
0.12117766588926315,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Q: Sentence 1: Fear we shall be too late anyway. Sentence 2: Concerned that we will reach too early and have nothing to do. Choices: 1. FACE-TO-FACE, 2. GOVERNMENT, 3. LETTERS, 4. 9/11, 5. SLATE, 6. TELEPHONE, 7. TRAVEL, 8. VERBATIM, 9. OUP, 10. FICTION.
A: 9
****
Q: Sentence 1: They rode through the barrens and shortly before dusk they found Heaven's Highway. Sentence 2: They found Heaven's Highway after riding through the barrens near the undefended towns. Choices: 1. FACE-TO-FACE, 2. GOVERNMENT, 3. LETTERS, 4. 9/11, 5. SLATE, 6. TELEPHONE, 7. TRAVEL, 8. VERBATIM, 9. OUP, 10. FICTION.
A: 9
****
Q: Sentence 1: Trays, plates, bowls, and jewelry boxes are superbly finished and not so heavy as to create problems of excess baggage. Sentence 2: The dishes sold are too heavy to be packed into a suitcase. Choices: 1. FACE-TO-FACE, 2. GOVERNMENT, 3. LETTERS, 4. 9/11, 5. SLATE, 6. TELEPHONE, 7. TRAVEL, 8. VERBATIM, 9. OUP, 10. FICTION.
A: | 6
****
| 4 | NIv2 | task198_mnli_domain_classification | fs_opt | [
-0.03659524396061897,
0.21129067242145538,
0.3828429579734802,
-0.35946154594421387,
-0.14581707119941711,
-0.13488981127738953,
0.2540851831436157,
1.0814486742019653,
-0.6485311388969421,
0.12587660551071167,
-0.6255176067352295,
-0.0031644878908991814,
-0.4992291033267975,
-0.5606191158... |
In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Example: Question: A distension is defined as:
Options: <0> Soft tissue injury. <1> Forced movement of abrupt production. <2> Injury by stretching a muscle. <3> Injury of the joint capsule. <4> Interruption in the continuity of a bone.
Example solution: nursery
Example explanation: Distension means Bloating and swelling in the belly area. It does not have much to do with chemistry, psychology, pharmacology, biology and medicine. Hence, the correct topic is nursery.
Problem: Question: Which of the following factors does not influence the permeation of drugs through the stratum corneum ?:
Options: <0> Degree of ionization of the drug. <1> Fixation to the tear fluid proteins. <2> Osmolarity of tears. <3> Instilled volume. <4> Ocular Pigmentation.
| Solution: pharmacology | 5 | NIv2 | task1434_head_qa_classification | fs_opt | [
0.6392436027526855,
-0.2953372895717621,
-0.1652931571006775,
-0.19588328897953033,
0.1918487548828125,
-0.6492075324058533,
0.5699067115783691,
0.7283790111541748,
0.49348947405815125,
0.32573461532592773,
-0.0629890039563179,
0.009751155972480774,
-0.05413663387298584,
0.4409569501876831... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Portuguese Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Portuguese Language. 2) Also names, dates and places should be preserved it should not get translated.
I shall only look up and say "Who am I then? | Eu devo somente olhar para cima e dizer 'Quem sou eu então? | 0 | NIv2 | task1647_opus_books_en-pt_translation | zs_opt | [
-0.11525645107030869,
0.7054998278617859,
-0.04132536053657532,
-0.20999039709568024,
-0.7987819910049438,
-0.6882503032684326,
0.32547223567962646,
0.3614174723625183,
0.15680456161499023,
-0.353769451379776,
-0.24015605449676514,
0.30601146817207336,
-1.669576644897461,
0.043935373425483... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY or others will want what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonY and others, respectively. For example, as a result of PersonX giving PersonY gifts, PersonY may want to open the gift. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Example: Head: PersonX holds PersonY's head<sep>Tail: to be messaged
Output: Yes
This is a good example. As a result of the Head, PersonY will want to be messaged.
New input case for you: Head: PersonX applies sunscreen<sep>Tail: healthier
Output: | No | 1 | NIv2 | task1198_atomic_classification_owant | fs_opt | [
0.22137485444545746,
-0.05593345686793327,
0.3411611020565033,
0.32463690638542175,
-0.07138268649578094,
-0.8440713882446289,
0.6481596827507019,
0.7988622188568115,
-0.8063218593597412,
-0.19991815090179443,
-0.1586742401123047,
-0.4056149125099182,
-0.535741925239563,
-0.295048624277114... |
Teacher: 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".
Teacher: Now, understand the problem? If you are still confused, see the following example:
Review: Arrived broken. Manufacturer defect. Two of the legs of the base were not completely formed, so there was no way to insert the casters. I unpackaged the entire chair and hardware before noticing this. So, I'll spend twice the amount of time boxing up the whole useless thing and send it back with a 1-star review of part of a chair I never got to sit in. I will go so far as to include a picture of what their injection molding and quality assurance process missed though. I will be hesitant to buy again. It makes me wonder if there aren't missing structures and supports that don't impede the assembly process.
Category: furniture
Solution: True
Reason: It's the correct category. Because the customer gives a review of the product which belongs to the furniture category, which we can see it from the way the customer describes his experience sharing how he unpackaged his chair.
Now, solve this instance: Reviews: I’ve had this battery case for a month and a half, and the case will not charge. It used to blink like it was pretending to charge but won’t actually charge, and now the lights won’t even come on. Plus the top came off so easily, I’m surprised I didn’t lose it. Complete waste of money, too bad it did this only 14 days past the return period. Never buying this brand again.
Category: wireless
Student: | False | 2 | NIv2 | task1308_amazonreview_category_classification | fs_opt | [
-0.3428325951099396,
0.1610633283853531,
-0.2994491457939148,
-0.05731801688671112,
0.16764022409915924,
-0.2447817623615265,
0.5279425382614136,
1.0214531421661377,
0.03025589883327484,
0.48940855264663696,
0.43891799449920654,
0.026945237070322037,
-0.42397457361221313,
0.392006784677505... |
Teacher: In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sox - 4 is important for very early B - cell differentiation , while TCF - 1 / LEF - 1 play a crucial role in early thymocyte development
Solution: TCF - 1
Reason: The gene, TCF - 1 has been tagged as protein since it plays a crucial role in early thymocyte development.
Now, solve this instance: D-myo-inositol 1-phosphate as a surrogate of D-myo-inositol 1,4,5-tris phosphate to monitor G protein-coupled receptor activation.
Student: | G protein-coupled receptor | 2 | NIv2 | task1482_gene_extraction_chemprot_dataset | fs_opt | [
-0.2336839735507965,
0.1322515308856964,
-0.42523887753486633,
-0.5347233414649963,
0.43774348497390747,
-0.75941401720047,
-0.14307299256324768,
0.8202143907546997,
0.11016619205474854,
-0.4094178378582001,
-0.4455302953720093,
-0.21488332748413086,
-0.665717363357544,
-0.6021360158920288... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as 'a', 'b', 'c', or 'd'. If you think more than one option is plausible, choose the more probable option to help you answer the question.
Example: Question: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin? Passage: The group was occasionally diverted from strategic missions to carry out air support and interdiction missions. It supported Operation Overlord, the invasion of Normandy by attacking transportation targets, including bridges, along with airfields and strong points in France. On D Day, the squadron and the rest of the 446th Group led the first heavy bomber mission of the day. The 446th aided ground forces at Caen and Saint-Lôduring July by hitting bridges, gun batteries, and enemy troops. During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen. It struck lines of communications during the Battle of the Bulge. During Operation Varsity in March 1945, it supplied ground and airborne troops near Wesel. The squadron flew its last combat mission on 25 April 1945 against Salzburg, Austria. The group had flown 273 missions and had lost 58 aircraft during the war,
. Links: a. Allies of World War II b. Wesel c. Operation Market Garden d. Air Support.
Output: c
The passage describes the 704th's actions during Operation Market Garden.
New input case for you: Question: Who was the lead singer on the singles Money and Us and Them? Passage:The record builds on ideas explored in Pink Floyd's earlier recordings and performances, while omitting the extended instrumentals that characterised their earlier work. A concept album, its themes explore conflict, greed, time, death, and mental illness, the latter partly inspired by the deteriorating health of founding member Syd Barrett, who departed the group in 1968. The group used recording techniques such as multitrack recording, tape loops, and analogue synthesisers. Snippets from interviews with the band's road crew, as well as philosophical quotations, were also used. Engineer Alan Parsons was responsible for many sonic aspects and the recruitment of singer Clare Torry, who appears on "The Great Gig in the Sky". The sleeve, which depicts a prism spectrum, was designed by Storm Thorgerson, following keyboardist Richard Wright's request for a "simple and bold" design, representing the band's lighting and the record's themes. The album was promoted with two singles: "Money" and "Us and Them".
Links: a. Money (Pink Floyd song) b. Richard Wright (musician) c. Storm Thorgerson d. Road crew
Output: | a | 1 | NIv2 | task231_iirc_link_classification | fs_opt | [
0.30136939883232117,
0.7587202191352844,
-1.0116033554077148,
-0.08510652184486389,
0.36813488602638245,
-0.5503250956535339,
1.355698823928833,
0.8062504529953003,
0.2843376100063324,
0.6428064703941345,
-0.1249164417386055,
-0.11226602643728256,
-0.34376847743988037,
-0.12853777408599854... |
A text is given in Tamil. Translate it from the Tamil language to the Malayalam language. The translation must not omit or add information to the original sentence.
Example: இளவயது பெண்களைச் சந்திக்கும் வாய்ப்பு எனக்குக் கிட்டியது, அவர்களில் சில பெண்கள் இமயமலைப் பகுதியில் பிறந்தவர்கள்
Example solution: എനിക്ക് യുവതികളെ കാണാൻ അവസരമുണ്ട്, അവരിൽ ചിലർ ഹിമാലയ പ്രദേശത്താണ് ജനിച്ചത്
Example explanation: Correct translation for given sentence. Input sentence means 'I have the chance to meet young women, some of them were born in the Himalayas area' which is the same as the output sentence.
Problem: புதுப்பிக்கத்தக்க எரிசக்தியை உருவாக்குவது முதல் மின் பகிர்மான கட்டமைப்புகளை கட்டுவது வரை உள்ளன.
| Solution: ഇതിനു പുറമേ, ദേശീയപാതകളുടെയും പാലങ്ങളുടെയും നഗര ഗതാഗത | 5 | NIv2 | task1000_pib_translation_tamil_malayalam | fs_opt | [
0.11844239383935928,
0.5079372525215149,
-0.19528168439865112,
-0.038052748888731,
-0.11932143568992615,
-1.2532143592834473,
0.184184730052948,
0.9840177893638611,
-0.2050342708826065,
0.07947161048650742,
-0.5127786993980408,
0.38009852170944214,
-0.6660593748092651,
-0.03456591069698334... |
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Sentence: Michael R. Bromwich , a member since January 1987 of the three-lawyer trial team in the prosecution of Oliver North , became a partner in the Washington , D.C. , {{ office }} of the 520-lawyer firm .
Word: office | NOUN | 0 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.29423993825912476,
0.2352617383003235,
-0.21564537286758423,
0.0486002154648304,
-0.18205946683883667,
-0.4600161612033844,
0.617866039276123,
0.44477975368499756,
-0.0075920275412499905,
-0.1003640666604042,
-0.6650607585906982,
0.2064337432384491,
-0.4371938705444336,
0.359074056148529... |
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous names (MISC). There can be instances with no named entities, then return 'None'.
" Ik liet me te veel het initiatief uit handen nemen , ik speelde te stereotiep .
None
De man was de schutter aan het verzorgen toen het tot een hoogoplopende discussie kwam .
None
Een internetwinkel heeft een zware logistieke structuur
| None
| 0 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | fs_opt | [
-0.14766332507133484,
0.29658401012420654,
0.08648243546485901,
-0.08006133139133453,
-0.3111483156681061,
-0.399907648563385,
1.135632038116455,
0.3593396544456482,
0.6114439368247986,
-0.09520433843135834,
-0.6004952192306519,
0.30746620893478394,
-0.4675895869731903,
-0.2511291801929474... |
Instructions: 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].
Input: Post: @ERInternational i am looking for bulk seller for cpu and ssd and ram . pls contact me if you have stock .
Output: | Non-hateful | 3 | NIv2 | task333_hateeval_classification_hate_en | zs_opt | [
-0.785602331161499,
0.2034078985452652,
0.5860286951065063,
1.1489500999450684,
-0.18274052441120148,
-1.2269935607910156,
0.6130449771881104,
0.8989385366439819,
0.5417309999465942,
0.5509743094444275,
0.37694764137268066,
0.47378668189048767,
-0.4914427399635315,
-0.34082451462745667,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in the Japanese and Filipino 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: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Filipino: Ang mga detalye ay ibinigay ng UK transport Secretary, na si Ruth Kelly, sa House of Commons sa ika-17:30 UTC kahapon.
Solution: Yes
Why? The converted Filipino sentence is correctly translated from Japanese because converted sentence has the same message as the original Japanese sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
New input: Japanese: もうひとつの爆発はプラチャチュエンにあるテスコ・ロータスで起き、さらに別の爆発物はバンコク郊外のプラウェート区にあるショッピングモール、シーコン・スクウェアのゴミ箱に仕掛けられていた。
Filipino: Ang unang bomba na pinasabog ay sa tren ng Liverpool Street pagkatapos itong iwan sa may Aldgate sa Circle line, ilang segundo bago pumutok ang iba.
Solution: | No | 0 | NIv2 | task1120_alt_ja_fil_answer_generation | fs_opt | [
0.19560319185256958,
-0.34113365411758423,
-0.3776494562625885,
0.40771955251693726,
0.5281978845596313,
-0.233302503824234,
0.403110533952713,
0.22869272530078888,
-1.2455012798309326,
-0.43383365869522095,
0.09721013158559799,
0.9789782166481018,
-0.054667726159095764,
0.7135733366012573... |
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Q: Problem: kathleen can paint a room in 2 hours , and anthony can paint an identical room in 7 hours . how many hours would it take kathleen and anthony to paint both rooms if they work together at their respective rates ?
Options: a ) 28 / 9 , b ) 4 / 3 , c ) 15 / 8 , d ) 9 / 4 , e ) 15 / 4
A: a
****
Q: Problem: the distance between west - town to east - town is 20 kilometers . two birds start flying simultaneously towards one another , the first leaving from west - town at a speed of 4 kilometers per minute and the second bird , leaving from east - town , at a speed of 1 kilometers per minute . what will be the distance , in kilometers , between the meeting point and west - town ?
Options: a ) 3 . , b ) 7 . , c ) 10 . , d ) 16 . , e ) 15 .
A: d
****
Q: Problem: a and b together can do a piece of work in 6 days and a alone can do it in 12 days . in how many days can b alone can do it ?
Options: a ) 11 days , b ) 15 days , c ) 12 days , d ) 21 days , e ) 22 days
A: | c
****
| 4 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.7231175303459167,
1.032002568244934,
0.06764968484640121,
-0.4592219889163971,
-0.23374561965465546,
-0.3382444381713867,
-0.028842194005846977,
0.5801564455032349,
-0.2710284888744354,
0.04863392934203148,
-0.0808231309056282,
0.732241153717041,
-0.026294369250535965,
-0.285781025886535... |
Detailed Instructions: A text is given in Hindi. Translate it from the Hindi language to the Telugu language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: ఈ పోర్టల్ ను 2019-20 ఆర్థిక సంవత్సరానికి ఎన్జిఒ లు మరియు రాష్ట్రాలు ఆన్లైన్ లో దరఖాస్తులను దాఖలు చేయడం కోసం బుధవారం నాడు తిరిగి తెరవడం జరిగింది
Solution: यह पोर्टल बुधवार को गैर सरकारी संगठनों में आवेदन दाखिल करने के लिए खोला गया था और 2019-20 वित्तीय वर्ष के लिए ऑनलाइन राज्य
Explanation: Correct translation for given sentence. Input sentence means 'This portal was opened on Wednesday for filing applications in NGOs and States online for 2019-20 financial year' which is the same as the output sentence.
Problem: ఆయా సంస్థలు నిర్వహిస్తున్న విధులు, అవి సాధిస్తున్న ఫలితాలు, సమర్థనీయత, ఆవశ్యకత, వినియోగ విలువ, మానవ వనరుల వినియోగం, ఏకీభావం, పరిపాలన ల వంటి అన్ని విభాగాలను మరింత మెరుగుపరచడం లక్ష్యంగా స్వతంత్ర ప్రతిపత్తి గల సంస్థల వ్యవహార శైలిని సమీక్షించి హేతుబద్ధీకరించడం ప్రభుత్వ లక్ష్యం.
Solution: | सरकार का मुख्य प्रयास यह है कि स्वायशासी निकायों की समीक्षा की जाए और उन्हें युक्तिसंगत बनाया जाए, ताकि उनके कामकाज, प्रभाव और कार्यकुशलता में सुधार हो, वित्तीय और मानव संसाधनों का उचित इस्तेमाल हो, मौजूदा निति में उनकी प्रासंगिकता एवं प्रशासन में इजीफा हो और उनकी निगरानी उचित तरीके से हो सके। | 4 | NIv2 | task1046_pib_translation_telugu_hindi | fs_opt | [
-0.6119765043258667,
-0.09062537550926208,
0.20254763960838318,
0.5246491432189941,
-0.025998573750257492,
-0.8899044990539551,
-0.007338033057749271,
0.897182285785675,
-0.6372029781341553,
0.6448723673820496,
-0.7183775305747986,
-0.015100883319973946,
-0.4066568613052368,
0.045677885413... |
You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
Q: after going down the falls he then went to rock mist mountains . if the mountain is 50 times farther from the city than sky falls and sky falls is 8 miles from the city how far is the rocky mist from the city ?
A: | 400 | 4 | NIv2 | task864_asdiv_singleop_question_answering | zs_opt | [
-0.08374933153390884,
1.1595391035079956,
0.012422065250575542,
-0.6780931949615479,
-0.014935174956917763,
-0.21932661533355713,
0.8611962795257568,
0.5775192379951477,
-0.23068538308143616,
-0.04381004348397255,
-0.30142292380332947,
0.3392147421836853,
-0.7826863527297974,
0.37270441651... |
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.
One example: Sie verwenden den Behälter, um Kohlenstoff zur Anlage zu transportieren.
Solution is here: Sie arrangieren den Behälter, um Wasser an die Anlage zu versenden.
Explanation: This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about giving water/carbon to a plant and the changes in the sentence follows the commonsense knowledge.
Now, solve this: Wenn Sie ein Unternehmen öffnen möchten, dann sollten Sie einen Geschäftsplan haben.
Solution: | Wenn Sie ein Unternehmen eröffnen wollen, dann sollten Sie einen Geschäftsplan machen. | 6 | NIv2 | task416_mickey_de_sentence_perturbation_generation | fs_opt | [
-0.4511376619338989,
0.22307100892066956,
0.16469258069992065,
0.022860677912831306,
0.08412929624319077,
-1.1202962398529053,
0.443576455116272,
1.1302461624145508,
0.1342887580394745,
0.45673811435699463,
-0.05194661766290665,
-0.18142136931419373,
-1.1239145994186401,
-0.053726423531770... |
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".
W: I wonder if you could sell me the Psychology textbooks. You took the course last semester, didn't you? M: As a matter of fact, I already sold them back to the school bookstore., Question: What do we learn from the conversation? (A) The woman has to get the textbooks in other ways. (B) The woman has sold her used textbooks to the bookstore. (C) The man is going to buy his textbooks from a bookstore.
(A) The woman has to get the textbooks in other ways.
W: So Mr. Brown, this is your bed, and as you can see, there are three other beds in the ward. Have you got everything you need? M: Yes, nurse, I think so. I followed the hospital's advice, and I've only brought a few belongings with me. W: Good, you can see the reasons why we ask you to do that, the cupboard is really very small. M: Yes, of course. They are only afternoon from 2:30 to 4:30 and in the evening from 7:00 to 8:00, but remember that only two people can see you at the same time. M: I see. What other rules are there? W: Yes. We start pretty early. We wake you at 6 o'clock and breakfast is at 8 o'clock, lunch is at noon, there is tea at 3:30 and supper at 6 o'clock. M: Oh, that's very different from what I have been used to. You'd better tell me the rest of the rules here. W: Yes. Well, you can see the no smoking sign, we don't allow smoking in the wards, and the same goes for alcohol. However, if you do need to smoke, there are special lounges. M: Oh, I don't smoke, so it doesn't affect me. W: Good., Question: Which of the following statements is INCORRECT? (A) Patients have breakfast at 8. (B) Patients have lunch at 12. (C) There are special alcohol lounges.
(C) There are special alcohol lounges.
W: Have you found anything wrong with my stomach? M: Not yet. I'm still examining. I'll let you know the result next week., Question: What's the probable relationship between the speakers? (A) Boss and secretary. (B) Teacher and student. (C) Doctor and patient.
| (C) Doctor and patient.
| 0 | NIv2 | task247_dream_answer_generation | fs_opt | [
0.4905843138694763,
-0.2886713147163391,
-0.7787703275680542,
-0.25618934631347656,
0.3401818871498108,
-0.643322765827179,
0.6342458724975586,
0.4310867488384247,
0.21034587919712067,
-0.27649205923080444,
-0.31032365560531616,
-0.11269687861204147,
-0.2757071852684021,
0.3727495074272156... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Example input: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Example output: 父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Example explanation: The Italian sentence is correctly translated into Japanese, because the meaning is preserved.
Q: Sarà lanciato il prossimo Settembre.
A: | ９月に発売の予定です | 3 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
-0.437015175819397,
0.31949958205223083,
-0.5659023523330688,
-0.3137941360473633,
-0.64359050989151,
-0.6220067739486694,
0.5648372769355774,
0.8855313658714294,
0.33462053537368774,
-0.4207336902618408,
-0.5119448304176331,
0.6933112144470215,
-0.4202725887298584,
-0.04820618778467178,
... |
Q: You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: इस्रायल फुटबॉल संघ (हिब्रू: נבחרת ישראל בכדורגל; फिफा संकेत: ISR) हा पश्चिम आशियामधील <MASK> देशाचा राष्ट्रीय पुरुष फुटबॉल संघ आहे. युरोपामधील युएफाचा सदस्य असलेला इस्रायल सध्या फिफाच्या जागतिक क्रमवारीमध्ये ४५व्या स्थानावर आहे. आजवर इस्रायल १९७० ह्या एकमेव फिफा विश्वचषक स्पर्धेसाठी पात्र ठरला आहे. तो एकाही युएफा युरोसाठी पात्र ठरलेला नाही.
Option A: फिफा
Option B: युएफा
Option C: इस्रायल
Option D: ए.एफ.सी.
A: | इस्रायल | 7 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
0.9425086379051208,
0.3377177119255066,
-0.3850443959236145,
0.4759094715118408,
0.026941906660795212,
0.17209920287132263,
0.7128231525421143,
0.38279110193252563,
0.48014551401138306,
-0.06277508288621902,
-0.598236620426178,
0.3384634554386139,
-0.4625285863876343,
-0.4377531111240387,
... |
Definition: A question is presented to you in this task, and your job is to write a potentially correct answer.
Input: what airport do you fly into maui?
Output: | Kahului Airport | 2 | NIv2 | task1412_web_questions_question_answering | zs_opt | [
0.19484171271324158,
0.837166428565979,
-0.8294775485992432,
-0.8590442538261414,
-0.49200814962387085,
0.2568981647491455,
-0.20722176134586334,
0.5746443271636963,
0.13370761275291443,
0.22898352146148682,
-0.9544298648834229,
-0.39931049942970276,
-0.07892891764640808,
-0.08437714725732... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Q: 言うつもりでした「かくかくしかじかの男が来たら私が言ったことは間違いだったと伝えてくれ
A: | הייתי מוכן לומר לו, "" שמע, אם מישהו אשר נראה כך וכך יגיע מחר בבקשה תאמר לו שזו הייתה טעות. | 4 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
0.7239893674850464,
0.5957013964653015,
0.3747560679912567,
-0.2913137674331665,
0.14837124943733215,
-1.0993077754974365,
0.05024225637316704,
-0.6590670347213745,
0.5150356292724609,
-0.2766250669956207,
-0.7355467081069946,
0.0371144637465477,
-1.3635001182556152,
-0.06906301528215408,
... |
Detailed Instructions: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications of each category:
1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows
2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows
3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows
4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows
5. Comparative: Comparing two rows in the table, regarding their values in one column
6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows
7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows.
Here are the definitions of logical operators for understanding of command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Problem:greater { hop { filter_eq { all_rows ; institution ; anglo irish bank } ; tier 1 capital , million } ; hop { filter_eq { all_rows ; institution ; irish life and permanent } ; tier 1 capital , million } }
Solution: | comparative | 8 | NIv2 | task212_logic2text_classification | zs_opt | [
0.1841028332710266,
-0.3291614055633545,
-0.26446300745010376,
0.2894977331161499,
0.4881483316421509,
-0.5137954950332642,
0.8299391269683838,
0.6363481879234314,
0.3579480051994324,
0.04636983573436737,
0.017542563378810883,
-0.01488875225186348,
0.026884233579039574,
0.5212142467498779,... |
Detailed Instructions: In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
Problem:Shelf came in warped and one of the arms was longer than the other. Also, one of the nuts keeps spinning on the arm. Went ahead and hung it anyway. Looks nice in design and color, just has the flaws I have mentioned.
Solution: | 2 | 8 | NIv2 | task1310_amazonreview_rating_classification | zs_opt | [
-0.06577953696250916,
-0.4768821597099304,
-0.14876596629619598,
-0.23576170206069946,
0.6564594507217407,
0.07354630529880524,
0.5060269832611084,
0.9934902191162109,
-0.34488290548324585,
0.8611679077148438,
-0.38845452666282654,
-0.2522548735141754,
-0.7640196084976196,
0.03578935563564... |
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.
Input: Consider Input: È possibile utilizzare il sole per asciugare i vestiti controllati.
Output: Potete convincere il sole ad asciugare i vestiti lavati.
Input: Consider Input: È possibile utilizzare un pad di lancio per lanciare un gadget.
Output: È possibile utilizzare una rampa di lancio per lanciare un razzo.
Input: Consider Input: Lì hai i tuoi documenti lik tassa o patente di guida.
| Output: Lì hai i tuoi documenti come uno o patente di guida.
| 2 | NIv2 | task408_mickey_it_sentence_perturbation_generation | fs_opt | [
0.1766456663608551,
0.5871503949165344,
-0.5928603410720825,
0.5853444933891296,
-0.6631143093109131,
-1.2073122262954712,
0.6613364815711975,
1.1981383562088013,
-0.4461662769317627,
0.05320246145129204,
-0.8588384389877319,
0.8516130447387695,
-0.3768995702266693,
0.07249743491411209,
... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head happens before the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
See one example below:
Problem: Head: PersonX swims at the local pool<sep>Tail: PersonX learns a new way of swimming
Solution: Yes
Explanation: This is a good example. The Head happens before the Tail.
Problem: Head: PersonX acts funny<sep>Tail: to amuse someone.
Solution: | No | 4 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.37482309341430664,
0.29394495487213135,
0.08983013033866882,
-0.04996403679251671,
-0.5306928157806396,
-0.9085016250610352,
1.1262696981430054,
0.584731936454773,
-0.6047614812850952,
-0.35067296028137207,
-0.35781508684158325,
-0.6749234795570374,
-0.7677056193351746,
0.079559646546840... |
Given the task definition and input, reply with output. In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX will be seen as what is mentioned in the Tail or not. In this task, PersonX will be seen as the Tail if the Tail describes PersonX's persona or attribute as perceived by others given an event. In the gift-giving example, X may be seen as generous or giving. In contrast, in an event such as PersonX steals a car, PersonX may be perceived as evil. 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 becomes happier<sep>Tail: starts laughing
| No | 5 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.008393201977014542,
0.15670707821846008,
0.6631504893302917,
-0.12449054419994354,
-0.3886217474937439,
-0.8562558889389038,
0.6763056516647339,
0.8254095315933228,
-0.5278923511505127,
-0.3160104751586914,
-0.5284342765808105,
-0.7368927001953125,
-0.7407335042953491,
-0.034540094435214... |
Teacher: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Teacher: Now, understand the problem? If you are still confused, see the following example:
全て肋骨の間から行うのです
Solution: Wszystko jest robione pomiędzy żebrami.
Reason: The Japanese sentence is correctly translated into Polish, because the meaning is preserved.
Now, solve this instance: 現実の隣にあるもう一つの世界の話が好きでした
Student: | Cudownie opowiadający o innym świecie, równoległym do tego, w którym żyjemy. | 2 | NIv2 | task1097_ted_translation_ja_pl | fs_opt | [
0.6675823330879211,
0.9130958318710327,
-0.020701143890619278,
-0.08306145668029785,
-0.15408383309841156,
-0.4133392572402954,
0.6413740515708923,
-0.336251825094223,
-0.07570773363113403,
-0.4818313717842102,
-0.27804121375083923,
0.6319869756698608,
-0.8676936030387878,
0.44190540909767... |
Detailed Instructions: In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage while labelling True or False.
Q: Passage: The concept environmental determinism served as a moral justification for domination of certain territories and peoples. It was believed that a certain person's behaviours were determined by the environment in which they lived and thus validated their domination. For example, people living in tropical environments were seen as "less civilized" therefore justifying colonial control as a civilizing mission. Across the three waves of European colonialism (first in the Americas, second in Asia and lastly in Africa), environmental determinism was used to categorically place indigenous people in a racial hierarchy. This takes two forms, orientalism and tropicality. Question: What served as a justification for imposing imperialistic policies on certain peoples or regions?
A: | True | 9 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | zs_opt | [
0.10730262100696564,
0.2705478072166443,
0.05545322969555855,
-0.33937186002731323,
-1.0580825805664062,
-0.7610361576080322,
0.459363728761673,
0.23851343989372253,
0.0818413719534874,
-0.03933154419064522,
-0.028933163732290268,
0.0366278812289238,
-0.4204772710800171,
-0.573484182357788... |
Teacher:You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Teacher: Now, understand the problem? Solve this instance: Ainda estamos longe de melhorarmos pessoas. O nosso objetivo é apenas assegurarmos que teremos uma hipótese de sobreviver o suficiente para conseguir isso mesmo.
Student: | יש לנו עוד דרך ארוכה עד שנגיע לשיפור בני אדם. המטרה שלנו היא רק לוודא שיש לנו סיכוי לשרוד מספיק זמן כדי שאולי נעשה זאת. תודה רבה לכם. | 6 | NIv2 | task1278_ted_translation_pt_he | zs_opt | [
-0.2657231092453003,
0.5922535061836243,
0.47331300377845764,
-0.8888673782348633,
-0.2230253964662552,
-0.5666046142578125,
0.8062753081321716,
0.061640359461307526,
0.1726047545671463,
0.03342381864786148,
-0.3635929822921753,
-0.04905431717634201,
-1.0818785429000854,
-0.160408288240432... |
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Ex Input:
Article: The silent young woman in bed number six is called Jasmine. So am I, but names are only superficial things, floats on the surface of the water, and we share deeper connections than that. That is why she fascinates me--why I spend my off-duty time sitting beside her. Today is difficult. The ward is full of patients and I am kept busy emptying bed-pans, filling out forms, changing dressings. Finally, late in the afternoon, I get a few moments to make coffee, to take it over to the orange plastic chair beside her bed. I am thankful to be off my feet, glad to be in her company once again. "Hello, Jasmine," I say, as if greeting myself. She does not reply. Jasmine never replies. She is down too deep. She has been sea-damaged. I too am the daughter of a fisherman, so I choose my words like fish-hooks, cast them into her ears, imagine them sinking down through cold, dark water. Down to wherever she may be. "I have little time today," I tell her, touching her hair. With Jasmine, it is always difficult not to touch. She is that rare thing, a truly beautiful woman. Because of this, people invent reasons to walk by. I catch them looking, drinking her in, feeding on her. They are barracuda , all of them. Great beauty is something Jasmine and I do not share. I am glad of it. "Your father may be here soon," I say. "Last week he said he would come." Jasmine says nothing. Her left eyelid flickers, perhaps. It is two months since the incident on her father's fishing boat, since she fell overboard, sank, became entangled in the nets. It was some time before anyone noticed, then there was panic. Her father hauled her back on board and sailed for home. When he finally arrived, he carried ashore what he thought was his daughter's body. "Jasmine," I whisper. I want her to take our baited name. I want her to swallow it. Fortunately, there was a doctor in the village that morning, a young man visiting s. It was he who brought this drowned woman back from the brink, he who told me her story. She opened her eyes, he said, looked up at her father and spoke a single word--then sank again, this time into coma. Barracuda. That is what Jasmine said. When her father visits, he touches her hair, kisses her cheek, sits in the orange plastic chair at the side of her bed and holds her hand. Like my own father, he has the big, brown, life-roughened hands of a fisherman. He too smells of the sea, and pretends he is a good, simple man. Jasmine. We share so much, we are almost one. I remember early mornings, my hair touched to wake me, my father lifting me half-asleep from my bed, carrying me, dropping me into his boat. His voice rough in my ear, his hands rough on my skin. I never wanted to go, but I was just a child. He did as he wished. I remember salt water, hot sun, my mother shrinking on the shore. I remember the rocking of the boat, the screams of the seagulls. "Jasmine, you have a life inside you. Can't you hear it calling?" Nothing. The ward door bangs, and I see Jasmine's father walking towards us, carrying flowers. He smiles at me. Even in death, my own child had my father's smile, and Jasmine's will have this man's. I know it. He stops by her bed and touches her hair. Something stirs deep inside me. I watch Jasmine's eyelids, waiting for her to bite.
Answer: Jasmine's father is very pitiful.
Ex Output:
Why does the author show special sympathy for Jasmine?
Ex Input:
Article: Online educational learning games is an effective way with endless option for teaching kids of all age groups, and children are also able to operate it without much assistance. Parents find it easier to teach kids through these programs, who become familiar with operating the computer. Kids have fun learning phonetics, spelling and even a new language. Children are not willing to learn math tables or difficult words at school. They find it fun to sit in front of a computer and learn language and solve mathematical problems. In this age of computers, computers are becoming an important part of the child's daily curriculum with parents opting to teach these children new things each day with the help of online educational games. Computers are also known to improve the motor skills in children. In addition, the level of these games can be adjusted according to the level and learning ability of the kids. The makers of the games keep the kids' interest in mind while designing them so that their interest is maintained. Another advantage of these games is that you can find free online games and do not have to invest in these expensive products. Other activities that are available on the internet include online coloring games. This is also a constructive way that children can use to pass their leisure time. Another advantage is that the children can lay in the comfort of their homes. Kids who are fond of playing on the computer can spend their time learning educational material instead on video games that teach violence. Parents have to keep an eye on their kids and make sure that they do not spend their time on the computer playing games that could be harmful for them. It is essential to direct the kids to educational sites that have beneficial games and are known to help the progress of these children.
Answer: Online games can be helpful to kids.
Ex Output:
What is the main idea of this text?
Ex Input:
Article: Change Has Come to America November, 04, 2008, Barack Obama Hello, Chicago. If there is anyone out there who still doubts that America is a place where all things are possible, who still wonders if the dream of our founders is alive in our time, who still questions the power of our democracy, tonight is your answer. It's the answer told by lines that stretched around schools and churches in numbers this nation has never seen. A little bit earlier this evening, I received an extraordinarily gracious call from Sen. McCain. Sen. McCain fought long and hard in this campaign. And he's fought even longer and harder for the country that he loves. He has endured sacrifices for America that most of us cannot begin to imagine. We are better off for the service rendered by this brave and selfless leader. I congratulate him; I congratulate Gov. Palin for all that they've achieved. And I look forward to working with them to renew this nation's promise in the months ahead. I want to thank my partner in this journey, a man who campaigned from his heart, and spoke for the men and women he grew up with on the streets of Scranton and rode with on the train home to Delaware, the vice president-elect of the United States, Joe Biden. And I would not be standing here tonight without the unyielding support of my best friend for the last 16 years the rock of our family, the love of my life, the nation's next first lady Michelle Obama. Sasha and Malia I love you both more than you can imagine. And you have earned the new puppy that's coming with us to the new White House. To my sister Maya, my sister Alma, all my other brothers and sisters, thank you so much for all the support that you've given me. I am grateful to them. And to my campaign manager, David Plouffe, the unsung hero of this campaign, who built the best -- the best political campaign, I think, in the history of the United States of America. To my chief strategist David Axelrod who's been a partner with me every step of the way. To the best campaign team ever assembled in the history of politics you made this happen, and I am forever grateful for what you've sacrificed to get it done. But above all, I will never forget who this victory truly belongs to. It belongs to you. It belongs to you.
Answer: To give him some good ideas on making a successful speech..
Ex Output:
| Why did Sen. McCain make a phone call to the writer?
| 1 | NIv2 | task311_race_question_generation | fs_opt | [
0.8203822374343872,
0.06283842027187347,
-0.5990381240844727,
-0.9565141201019287,
0.5944076776504517,
-0.7495430111885071,
1.3097498416900635,
0.8771235942840576,
0.4903191328048706,
0.4025402069091797,
0.11461904644966125,
0.27873629331588745,
-0.7348461151123047,
0.22079676389694214,
... |
Teacher:You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Teacher: Now, understand the problem? Solve this instance: اتاق هایی که به صورت طبیعی هوا تهویه می شد را بررسي كرديم ، در آن اتاق ها بیمارستان به ما اجازه داد که تهویه مکانیکی هوا را در بخشي از ساختمان خاموش كنيم و پنجره ها را با اهرم باز كرديم چرا كه مدتها بود كه دیگر مورد استفاه قرار نگرفته بود ، اما مسولان بيمارستان برای مطالعات ما دوباره از آنها استفاده کردند.
Student: | Tamén habitacións ventiladas de forma natural, donde se nos permitiu apagar os sistemas de ventilación mecánica nunha zona do edificio e abrir an fiestras que xa non se empregaban, pero que se fixeron útiles para o noso estudo. | 6 | NIv2 | task1270_ted_translation_fa_gl | zs_opt | [
-0.3489798903465271,
0.904850959777832,
-0.31487828493118286,
-0.9568092823028564,
-0.28225573897361755,
-1.3904650211334229,
0.1671813428401947,
0.655664324760437,
0.0018264326499775052,
0.3066742718219757,
0.05942583084106445,
0.30987852811813354,
-0.6218094229698181,
0.01279815658926963... |
Teacher: You are given a paragraph, a question and some answer options (associated with "A", "B", "C", "D", etc.) You need to list all the correct answer options with their associated letters (e.g. "A" can be a valid answer). Note that sometimes, more than one option can answer the question correctly and completely. In those cases, please generate all such options separated by a comma (e.g. "A, B" is a valid answer). Do not generate anything else apart from one or more of the following characters: 'A', 'B, 'C', 'D', etc.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Paragraph- Sent 1: Obama was born on August 4, 1961, at Kapiʻolani Maternity & Gynecological Hospital in Honolulu, Hawaii.
Sent 2: He is the only President to have been born in Hawaii.
Sent 3: He was born to a white mother and a black father.
Sent 4: His mother, Ann Dunham (1942-1995), was born in Wichita, Kansas, of mostly English descent, with some German, Irish, Scottish, Swiss, and Welsh ancestry. Question: How old was Obama's mother when he was born? (A) teenager (B) in his 40s (C) mid 20s (D) almost twenty.
Solution: D.
Reason: Obama was born in 1961. His mother was born in 1942 and 1961-1942=19. Therefore, "almost twenty" answers the question sufficiently.
Now, solve this instance: Paragraph- Sent 1: Plants also detect the daily cycle of light and darkness.
Sent 2: Do you know how plants respond to these changes?
Sent 3: Some plants open their leaves during the day.
Sent 4: It is during these hours the plant can collect sunlight.
Sent 5: At night, the plant closes its leaves to prevent water loss.
Sent 6: Many plants respond to the change in the length of the day.
Sent 7: As days grow shorter, some plants respond by going dormant.
Sent 8: Dormant is when a plant suspends its growth.
Sent 9: It does this in order to survive.
Sent 10: Shorter days signal the coming of winter.
Sent 11: Winter in most areas means extreme cold.
Sent 12: It is also very dry in the winter months.
Sent 13: As winter approaches, some plants respond by their leaves changing color.
Sent 14: After the change in color, they fall off.
Sent 15: This dormancy period helps trees.
Sent 16: It allows them to survive the cold and dry winter.
Sent 17: Plants only want to grow when conditions are right.
Question: What are the right conditions for plants to grow in? (A) Somewhat cold and dry (B) Long days, enough moisture and warmer temperature (C) There needs to be sunlight and water (D) Warm and moist conditions (E) Very dry and hot conditions.
Student: | B, C, D. | 2 | NIv2 | task058_multirc_question_answering | fs_opt | [
0.5592149496078491,
-0.24100084602832794,
-0.5901025533676147,
0.16010892391204834,
-0.15937046706676483,
-1.1825854778289795,
0.6803174018859863,
1.0823272466659546,
0.4375758469104767,
0.3411899507045746,
-0.9260386228561401,
0.48650985956192017,
-0.5885758399963379,
-0.05422582477331161... |
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Input: Consider Input: Verify if the sentiment of the following document towards the entity Nick Fitzgerald is Neutral . Mississippi State quarterback Nick Fitzgerald suffered a severe injury to his right leg in the first quarter of the Bulldogs' rivalry game against Ole Miss Thursday night.
Fitzgerald 's leg bent in an awkward position when he was tackled following a running play. The game was delayed for several minutes while Fitzgerald received treatment on the field before being carted off.
Fitzgerald came into the game leading the SEC in yards rushing for a quarterback with 968 yards on the ground in 11 games. He also has thrown for 1 770 yards 15 touchdowns and 10 interceptions.
Fitzgerald was replaced by freshman Keytaon Thompson who has thrown for 66 yards and a touchdown this season.
Output: yes
Input: Consider Input: Verify if the sentiment of the following document towards the entity Brandon Wimbush is Negative . The halftime score Saturday was 27-0 after Notre Dame quarterbacks Brandon Wimbush and Ian Book combined to complete 5 of 16 passes for 63 yards. And they threw three picks.
The first came after Brandon Wimbush threw too high for Equanimeous St. Brown and the deflection floated into the hands of safety Jaquan Johnson. Miami staffer Joel Rodriguez draped the gaudy 5 1/2-pound chain around the neck of Johnson.
The second pick came after Wimbush threw a mile high of Chase Claypool. Miami's Malek Young took full advantage snatching the ball.
Down 20-0 Notre Dame coach Brian Kelly benched Wimbush in favor of Book. That move was futile.
Here you take it: Notre Dame had been one of the nation's stingiest teams in terms of turnovers heading into its clash with Miami. The Irish had coughed it up just seven times â four interceptions and three lost fumbles â in nine games. But Miami's turnover chain choked them Saturday. Brandon Wimbush threw two picks and surrendered the ball on a fourth-quarter hit. Backup Ian Book added a pick-six to his permanent record.
Output: yes
Input: Consider Input: Verify if the sentiment of the following document towards the entity Bernie Sanders is Negative . Bernie Sanders .
Senator Bernie Sanders .
Senator Bernie Sanders received rapturous applause from progressives for his foreign-policy speech at Westminster College in Fulton , Missouri , last week .
Jacob Heilbrunn of the more conservative National Interest suggested Sanders was bringing "regime change" to the liberal interventionism of the Democratic establishment .
The Sanders speech indeed opened a new debate and offered the first steps towards a fundamentally different policy , but it also leaves many questions unanswered .
Sanders 's central contribution is to upend the military-dominated definition of national security .
Sanders also called out the threat posed by extreme inequality and the "movement toward international oligarchy" in which "a small number of billionaire and corporate interests have control over our economic life ."
That 's not a new argument from Sanders , but here he explicitly framed it as a matter of national security .
"This planet ," Sanders argued , "will not be secure or peaceful when so few have so much , and so many have so little ... .
Sanders revived traditional liberal concerns about the domestic costs of policing the globe .
In so doing , Sanders sought to define a new progressive internationalism .
Sanders laid down markers for a new debate , particularly within the Democratic Party .
Sanders was one of only five Democratic senators to vote against the Republican initiative to lard another $ 80 billion onto the military budget , and those who voted for it should be questioned by their constituents .
While Sanders redefined our security challenges in the Westminster speech , he offered few ideas on how to deal with them .
The United States does have to "get serious" on climate change , but Sanders 's only policy advice was to remain in the Paris climate agreements .
Yet Sanders offered no way out of the endless wars without victory across the greater Middle East .
Inequality , corruption , oligarchy , authoritarianism are "inseparable ," and must be "fought in the same way ," but Sanders offered no plan on how to do that .
Sanders said we are "confronted by North Korea ," and called for international sanctions to force abandonment of nuclear weapons and missiles .
Relations with Russia and China also received little attention in Sanders 's speech .
Sanders also embraced the Democrats ' aggressive posture on Russian interference in the 2016 elections , calling out Putin while condemning Trump for not saying a word about it at the United Nations .
Sanders even echoed neoconservative rhetoric , suggesting that "In the struggle of democracy versus authoritarianism , we intend to win ," as if "authoritarianism" were somehow like communism -- a global , ideological movement .
Sanders 's speech opened a new debate .
| Output: no
| 2 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
-0.02021717093884945,
0.24884594976902008,
-0.41726481914520264,
0.09832490980625153,
0.1025986447930336,
-0.4692326784133911,
1.0607950687408447,
0.4106646776199341,
-0.06654626876115799,
0.8017590045928955,
0.09362722188234329,
0.03252556174993515,
-0.35047000646591187,
0.066795550286769... |
Instructions: This task is to translate a news commentary statement given in German language into Spanish language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Input: Bis zu 60 % des alten Waldbestands in Nangahar, der zweitgrößten Opium anbauenden Provinz, sind wahrscheinlich während der Kriegsjahre gefällt worden.
Output: | Durante los años de guerra puede que se talara hasta el 60 por ciento de los bosques antiguos de Nangahar, la segunda provincia por la cantidad de opio producido. | 3 | NIv2 | task1373_newscomm_translation | zs_opt | [
-0.5828061103820801,
0.5597727298736572,
-0.2659548223018646,
-0.80709308385849,
-0.6245330572128296,
-0.40671008825302124,
0.7284164428710938,
1.559464454650879,
0.25547152757644653,
-0.006398140452802181,
-0.7531694173812866,
-0.496303528547287,
-0.836679220199585,
0.1287495195865631,
... |
Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Input: Isso significa, que numa população em que a malária diminuiu, e onde há poucas pessoas que ainda têm o parasita, os cães podem encontrar essas pessoas, podemos tratá-las com medicamentos anti-malária e erradicar a malária.
Output: | That means that in a population where malaria has gone down all the way, and there's few people remaining with parasites, that the dogs can find these people, we can treat them with anti-malarial drugs, and give the final blow to malaria. | 3 | NIv2 | task1274_ted_translation_pt_en | zs_opt | [
-0.9982823729515076,
0.5790001749992371,
-0.5415270328521729,
-0.23164890706539154,
-0.2537412643432617,
-1.4842212200164795,
-0.47517091035842896,
1.1077520847320557,
0.26061803102493286,
0.4180833101272583,
-0.6985235214233398,
0.41103100776672363,
0.07217216491699219,
0.0479144155979156... |
Q: Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
incorrigible
A: | corrigible | 7 | NIv2 | task1508_wordnet_antonyms | zs_opt | [
0.24770262837409973,
1.862672209739685,
0.8177064657211304,
-0.15270762145519257,
-0.801182746887207,
-0.9291667938232422,
-0.35058167576789856,
0.3061169683933258,
0.5315215587615967,
-0.31898555159568787,
-0.7637276649475098,
-0.29685503244400024,
-1.1520354747772217,
0.1694657802581787,... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Q: Sentence 1: A man with a orange hat and a brown jacket has a cigarette in his mouth. Sentence 2: The man is smoking.
A: | The man is smoking a pipe. | 4 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-0.16300010681152344,
0.8408603072166443,
0.5567746162414551,
-0.805574893951416,
0.2259928435087204,
-0.939601480960846,
0.3027244210243225,
0.5429954528808594,
0.2729640603065491,
-0.44007569551467896,
-1.5323114395141602,
-1.3586864471435547,
-0.7409521341323853,
-0.38966310024261475,
... |
Detailed Instructions: You are given a sentence from a conversation between a human and a virtual assistant. Your task is to classify the sentence into one of the following five action categories - INFORM, INFORM_INTENT, OFFER, REQUEST, REQUEST_ALTS. If the sentence is about informing something, generate 'INFORM'. If it is about requesting something, generate 'REQUEST'. If the sentence mentions requesting an alternative option than the one provided, generate 'REQUEST_ALTS'. Similarly, generate 'OFFER' if the sentence is offering some information. If the sentence is about showing intent to do something, generate 'INFORM_INTENT'.
See one example below:
Problem: Now seems a good moment to watch the movie.
Solution: INFORM_INTENT
Explanation: The user is passively expressing his intent to watch a movie and asking for a suggestion
Problem: I found 10 events relevant to your critera. One of them is a DC United vs Revolution match, hosted at Audi Field.
Solution: | OFFER | 4 | NIv2 | task880_schema_guided_dstc8_classification | fs_opt | [
0.35631227493286133,
0.19628828763961792,
-0.028636833652853966,
0.5765420794487,
-0.04780545458197594,
0.10268858820199966,
-0.018276935443282127,
0.7528150081634521,
0.5403830409049988,
-0.07530194520950317,
-0.37334153056144714,
-0.7414143085479736,
-0.4581664502620697,
0.41814538836479... |
Generate a correct and concise answer for the question based on the words in the context.
--------
Question: Context : The Master Gunfighter is mainly a remake of the 1969 Japanese film Goyokin, although the story revolves around a true incident in the early 1800s involving massacred Indians that occurred in the vicinity of Goleta, California.
Question : Which place is The Master Gunfighter in?
Answer: California
Question: Context : Todd Bergen (born July 11, 1963) is a retired Canadian professional ice hockey centre who had a short-lived career, most notably with the Philadelphia Flyers of the National Hockey League in 1984--85.
Question : What team is Todd Bergen on?
Answer: Philadelphia Flyers
Question: Context : Erie Commodores FC is an American professional soccer team based in Erie, Pennsylvania which competes in the National Premier Soccer League (NPSL), a nationwide amateur league at the fourth tier of the American Soccer Pyramid.
Question : What league was Erie Commodores FC?
Answer: | National Premier Soccer League
| 7 | NIv2 | task1327_qa_zre_answer_generation_from_question | fs_opt | [
-0.4582749307155609,
-0.3023808002471924,
-0.40838733315467834,
-0.4416646957397461,
0.6010100841522217,
0.35634344816207886,
0.23629701137542725,
0.37442830204963684,
-0.25481027364730835,
0.017976775765419006,
-0.17412161827087402,
0.17657022178173065,
-0.9798357486724854,
-0.19147729873... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
For four years we have waited expectantly for the pitter patter of tiny paws. Soon, that wait could finally be over. Tian Tian, the UK's only female giant panda, has conceived and could give birth to a cub as early as August. However Edinburgh Zoo, where the pandas live, have warned people 'not to get too excited' as the process is 'extremely complex'. Moreover, on the two previous occasions keepers inseminated Tian Tian - whose name means 'Sweetie' - she has failed to produce a panda cub. She was artificially inseminated again in March this year, but keepers at the zoo say implantation - when a fertilised egg attaches to the uterus - has not yet occurred.Tian Tian has conceived and could give birth to a cub as early as AugustShe has been inseminated twice before but so far failed to produce a cubTian Tian and Yang Guang arrived in 2011 from China to great fanfareOn loan at £600k a year, became first giant pandas to live in UK for 17 years
Questions:Under the terms of the agreement any cubs will return to _ at the age of two, the age at which they would normally leave their mother in the wild. (A) Tian Tian (B) UK (C) Edinburgh Zoo (D) Sweetie (E) Yang Guang (F) China
Solution: (F)
Why? This is a good example. Based on the passage, any cubs will return to China at the age of two
New input: (CNN) -- A Tennessee juror's laudatory Facebook message to a medical examiner during a murder trial could nullify the jury's conviction of William Darelle Smith, the state's Supreme Court ruled Wednesday. The high court did not immediately throw out the first-degree murder conviction of Smith, who was sentenced to life in prison in 2010. But in concluding the trial judge erred upon learning of the juror's social networking communication with a key prosecution witness, state justices unanimously decided a new trial may be necessary unless the state proves the juror shouldn't have been disqualified. "If, for any reason, the trial court is unable to conduct a full and fair hearing with regard to juror (Glenn Scott) Mitchell's improper extrajudicial communication with Dr. Lewis, then the trial court shall grant Mr. Smith a new trial," the Supreme Court ruled, referring to the juror by name, as well as Dr. Adele Lewis, the medical examiner who testified.William Darelle Smith went on trial in 2010 for first-degree murderA doctor who did the victim's autopsy testified, then was contacted by a jurorThe trial judge didn't order a hearing into that interaction; high court says he erredState Supreme Court orders such a hearing, which could lead to a new trial
Questions:The trial court ruled against him, as did a state appeals court that characterized the _ communication as "mere interactions" and noted it is up to the court to decide if a juror is impartial. (A) CNN (B) Tennessee (C) Facebook (D) William Darelle Smith (E) Supreme Court (F) Smith (G) Glenn Scott) Mitchell (H) Lewis (I) Mr. Smith (J) Adele Lewis (K) State Supreme Court
Solution: | (C) | 0 | NIv2 | task302_record_classification | fs_opt | [
0.15687209367752075,
0.3071158230304718,
-0.31646111607551575,
-0.29062169790267944,
0.28698641061782837,
0.14035676419734955,
0.49575749039649963,
0.9398312568664551,
-0.6294274926185608,
0.9362747669219971,
0.40979868173599243,
0.5805925130844116,
-0.7710330486297607,
0.5111662149429321,... |
instruction:
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provides more information about the story's context. The original ending is the last three sentences of the story. Also, you are given a new ending that can provide the new story with the same premise. You should write a counterfactual context to explain the small differences between the original and new endings. More specifically, a story context contains the general plot of the story. And a counterfactual context is a slight modification to the initial context. To sum up, you should write the second sentence of a story based on the premise(first sentence) and the new ending(last three sentences) of the story.
question:
Premise: Sarah loved tum-tums and played it every day.
Initial Context: Yesterday she walked into a convenience store, and saw a display.
Original Ending: The display had tons of of tum-tums lip glosses. Sarah was very excited to see the lip glosses. She chose her favorite flavor, strawberry, and purchased it.
New ending: The mail came with a flyer that had even more tum-tums lip glosses. Sarah was very excited to see them. She chose her favorite flavor, strawberry, and ordered more.
answer:
She ordered them in the mail.
question:
Premise: Sara had just turned thirteen.
Initial Context: As a Muslim, she now had to wear a hijab to school.
Original Ending: She was nervous about how her friends would react. But she was surprised by their response. Sara's friends thought the hijab made her face look great!
New ending: She was nervous about how her friends would react. But she was surprised by their response. Sara's friends thought the hijab made her face look great!
answer:
As a Muslim she had to pray at specific times of the day.
question:
Premise: Cole loved spending time at the museum.
Initial Context: He was fascinated by all the exhibits and artifacts.
Original Ending: After college, where he majored in history, he was jobless. But he knew just what he wanted to do, and he applied for a job. He was hired right away - as a museum curator!
New ending: After college, where he majored in history, he was jobless. But he knew just what he wanted to do, and he applied for a job. He was hired right away - as a museum janitor
answer:
| He was devastated by all the exhibits and artifacts.
| 9 | NIv2 | task270_csrg_counterfactual_context_generation | fs_opt | [
0.1328248828649521,
0.30555009841918945,
0.08008863031864166,
0.14637888967990875,
0.05934169143438339,
-0.8675063848495483,
-0.1172194555401802,
0.9504668712615967,
-0.13249413669109344,
0.13260826468467712,
-0.298021137714386,
-0.1274292916059494,
-0.1274758279323578,
-0.0283932909369468... |
Teacher: In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains information related to sports. Label the text "2" if it contains information related business. Label the text "3" if it contains science or technical related information.
Teacher: Now, understand the problem? If you are still confused, see the following example:
The Race is On: Second Private Team Sets Launch Date for Human Spaceflight (SPACE.com) SPACE.com - TORONTO, Canada -- A second team of rocketeers competing for the #36;10 million Ansari X Prize, a contest for privately funded suborbital space flight, has officially announced the first launch date for its manned rocket.
Solution: 3
Reason: This statement indicates that it is related to space which is in fact related to science. This is a positive example because the label correctly classifies the statement as science.
Now, solve this instance: Change of Direction at PeopleSoft PeopleSoft's firing of its president and chief executive increased the likelihood that the company would be taken over by the Oracle Corporation.
Student: | 2 | 2 | NIv2 | task1541_agnews_classification | fs_opt | [
-0.8177614212036133,
0.35040283203125,
0.034047793596982956,
0.10317026078701019,
0.2215227633714676,
-0.21392038464546204,
-0.42247557640075684,
0.97272789478302,
0.0042957100085914135,
0.08856722712516785,
-0.31360071897506714,
0.11104842275381088,
0.06301771104335785,
-0.525543153285980... |
In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? How might this help other research or researchers?), Purpose (What specific things do the researchers want to do? What specific knowledge do the researchers want to gain? What specific hypothesis do the researchers want to test?), Method (How did the researchers do the work or find what they sought? What are the procedures and steps of the research?), or Finding (What did the researchers find out? Did the proposed methods work? Did the thing behave as the researchers expected?). ",
Sentence: ICU admission ( aOR 3.12 , 95 % CI 2.16 to 4.50 ) and MV ( aOR 3.33 , 95 % CI 1.85 to 6.00 ).
Section: purpose
False
Sentence: with basic reproduction number ( R 0 ) as the intermediate variable.
Section: method
True
Sentence: contextual health human-animal and environmental development.
Section: background
| True
| 0 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
-0.22848837077617645,
-0.02969641238451004,
-0.1526460200548172,
-0.07761810719966888,
0.14935609698295593,
0.06976398825645447,
-0.2847384214401245,
1.0822248458862305,
0.09340521693229675,
0.00937455054372549,
-1.3351821899414062,
-0.16477498412132263,
-0.01488574780523777,
-0.0293406732... |
instruction:
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the beginning, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
question:
Middle: Anne took good care, watering and fertilizing it. Ending: In ten Years the tree was taller than Anne was!
answer:
Anne's dad gave her a little tree in a pot.
question:
Middle: Dave had to work the weekend. Ending: Dave was sad he couldn't take his trip.
answer:
Dave loved to sail.
question:
Middle: Roger went snow skiing with some friends. Ending: They all had a blast.
answer:
| Roger was 80 years old.
| 9 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
-0.07099268585443497,
0.5021893382072449,
-0.2970007061958313,
-0.6206349730491638,
-0.580359697341919,
-0.13659659028053284,
0.6547258496284485,
0.592923641204834,
-0.4964561462402344,
0.0697052925825119,
-0.5815201997756958,
-0.13437509536743164,
-0.2752513885498047,
-0.14511069655418396... |
Detailed Instructions: In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Q: Article: indian shares ended flat tuesday , rebounding from intra-day lows on hopes the us federal reserve may cut rates to boost the us economy after investment bank lehman brothers ' collapse , dealers said . Title: british inflation strikes new ##-year peak in august
A: | no | 9 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.7709815502166748,
0.20135153830051422,
0.19417044520378113,
0.27504420280456543,
-0.21243612468242645,
-0.29616019129753113,
0.12220282852649689,
0.7520527839660645,
-0.5208663940429688,
-0.15672287344932556,
-0.33030056953430176,
0.20524033904075623,
-0.44987809658050537,
0.19867447018... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay special attention to the marked number, think about what (unwritten) information the marked number holds inside, choose the most adequate word(s) from the optional answers. If none of them seems right to you, there's also an option for other. If your answer is "REFERENCE", also write the reference entity, otherwise write the implicit option name. Options to choose from are:
REFERENCE: Some object which is being mentioned in the text before or after the target number. The reference answer has a higher priority than any other. If both Reference and another answer are possible, prioritize the Reference.
YEAR: Describing a calendric year
AGE: Describing someone's age
CURRENCY: Reference to some monetary value e.g dollar, euro etc.
PEOPLE: Describing a single/plural persons
TIME: Describing a time of the day. Usually you can add the word o'clock after those numbers.
OTHER: Some other option, which isn't listed here.
Input: Consider Input: Danger Mouse: Listen , have you seen anyone else here , another traveler ?
Hippie Snake: Little bloke ?
Danger Mouse: Yes .
Hippie Snake: Wearing specs ?
Danger Mouse: Yes .
Hippie Snake: Thin on top , collar sticking up , semi - detached eyebrows ?
Danger Mouse: Yes , that 's the _ one _ .
Hippie Snake: No , haven't seen him . You could try the Cave of Blood , though , he might have beaten you to it .
Danger Mouse: Good grief .
Output: PEOPLE
Input: Consider Input: Newsreader: From today , dialling _ 999 _ wo n't get you the emergency services . And that 's not the only thing that 's changing . Nicer ambulances , faster response times and better - looking drivers mean they 're not just " the " emergency services - they 're " your " emergency services . So , remember the new number : 118 999 881 999 119 725 ... 3
Output: OTHER
Input: Consider Input: Roper: Well , well . One more lovely than the next . What 'd you have in mind ?
Tania: Pick _ one _ .
Roper: I already have .
Tania: Wise decision .
| Output: OTHER
| 2 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
-0.09867457300424576,
0.6128212213516235,
-0.3915005922317505,
0.4351387917995453,
-0.060400985181331635,
-0.018176227807998657,
1.2664412260055542,
0.775864839553833,
-0.12894800305366516,
0.1118922010064125,
-0.2670443654060364,
0.37172332406044006,
-0.4986345171928406,
-0.12116526812314... |
In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male.
Q: Sentence: The guard went to the nurse and submitted to his examination.
Profession: nurse
A: | Male | 4 | NIv2 | task341_winomt_classification_gender_anti | zs_opt | [
-1.0443460941314697,
0.8915337324142456,
-0.41794663667678833,
-1.1530401706695557,
0.10377741605043411,
-0.49311932921409607,
-0.21753838658332825,
0.6051912307739258,
1.0728785991668701,
0.3733254373073578,
-1.1537646055221558,
-0.03954571485519409,
-0.8330621123313904,
-0.22718663513660... |
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 asks ___ if PersonY could have one<sep>Tail: is thanked | No | 0 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.05611114203929901,
0.4248267710208893,
0.4205174744129181,
-0.48526477813720703,
-0.5019132494926453,
-0.7484602332115173,
1.357617974281311,
0.11949752271175385,
-0.5400476455688477,
-0.606772780418396,
-0.4935661256313324,
-0.4115489423274994,
-0.8430567979812622,
0.3959192931652069,
... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and should not contain other words.
Let me give you an example: Jess Mastriani: No, I don't want another crooler, thank you very much.
FBI Agent Nicole Scott: But it's good for you. It's got... honeyglaze. Please die for this crooler, Jess.
Jess Mastriani: I've had _ two _ already. Who eats three croolers in a night?
FBI Agent Nicole Scott: Take a look. [Nicole takes a huge bite] Mmmmm, Mmmmm, Mmmmm!
The answer to this example can be: crooler
Here is why: In this example, the number two refers to something that the word: crooler.
OK. solve this:
Penelope Garcia: Now , going backwards there is nothing particular compelling about either of their graves , but holy cow everything before it is ! So , so gather around the campfire my friends because this _ one _ is quite the story !
Answer: | story | 8 | NIv2 | task401_numeric_fused_head_reference | fs_opt | [
-0.3216586709022522,
0.08767369389533997,
-1.1069235801696777,
-0.16722789406776428,
-0.2553725838661194,
-0.7007195949554443,
0.8652578592300415,
0.8609750270843506,
-0.41039198637008667,
0.031356051564216614,
-0.37252116203308105,
-0.11013132333755493,
-0.17536649107933044,
-0.1885710954... |
Teacher:In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimals in the output. Zero should be counted as an even integer.
Teacher: Now, understand the problem? Solve this instance: [41, 100, -8, -35, 79, -26, -98, -9, -38, -53]
Student: | [166, 25.0, -2.0, -138, 318, -6.5, -24.5, -34, -9.5, -210] | 6 | NIv2 | task368_synthetic_even_or_odd_calculation | zs_opt | [
-0.5781386494636536,
0.5029156804084778,
-0.1699720025062561,
-0.41665932536125183,
0.004771511536091566,
0.24742208421230316,
1.156783103942871,
0.4155780076980591,
-0.33724743127822876,
0.24868595600128174,
-0.38011646270751953,
-0.8919561505317688,
-0.32222220301628113,
-0.5457196235656... |
Teacher:In this task, you are given a text of the article. Your task is to generate a headline (title) for this article.
Teacher: Now, understand the problem? Solve this instance: hurricane dean plowed into the caribbean coast of mexico on tuesday as a roaring category # hurricane , lashing ancient mayan ruins and heading for the modern oil installations .
Student: | eye of roaring hurricane dean strikes mexico s yucatan peninsula | 6 | NIv2 | task288_gigaword_summarization | zs_opt | [
-0.03212997317314148,
-0.1714719831943512,
-0.2937019467353821,
-0.9953651428222656,
-0.6370878219604492,
-0.21000486612319946,
-0.1988438069820404,
0.82566899061203,
-0.065645232796669,
0.020854691043496132,
-0.024659115821123123,
-0.588290810585022,
-0.1906784623861313,
-0.41074046492576... |
In this task, given a sentence in the Burmese Language, your task is to convert it into the English language.
One example: အသက် ၂၇ နှစ် အရွယ် ဂျေဆွန် မက်ကေ ၏ မိခင် ဘိုနီ မက်ကေ က " သူတို့ အလုပ်လုပ်တဲ့ နည်းလမ်း ကို အရာများစွာ ပြောင်းလဲလိုက်မှာ ကို သင် မယုံဘူး ဆိုတာ ကျွန်မ အသေအချာ ယုံကြည်ပါတယ် ၊ ဒါပေမယ့် သူတို့ လုပ်ဆောင်ခဲ့ပါတယ် " ဟု ဆိုပါသည် ။
Solution is here: Prime Minister Blair and Chancellor Brown are agreed on the need to retain a nuclear deterrent.
Explanation: The above sentence is correctly translated from Myanmar to English
Now, solve this: မက်စ်ဆာ သည် ၁၉၉၃ ခုနှစ် ၌ အိုင်ထရွန် စန်နာ မှာ ကတည်းက အိမ်ကွင်း မြေ ပေါ်တွင် အနိုင်ရ ရန် ပထမ ဆုံး ဘရာဇီး လူမျိုး ဖြစ်လာခဲ့သည် ။
Solution: | Massa became the first Brazilian to win on home soil since Ayrton Senna in 1993. | 6 | NIv2 | task538_alt_translation_bu_en | fs_opt | [
0.03322621062397957,
0.01814054697751999,
-0.274028480052948,
-0.977484405040741,
0.34931105375289917,
-0.8262097835540771,
0.6362920999526978,
0.13224747776985168,
0.5779699087142944,
0.31249433755874634,
-0.30934181809425354,
0.6246878504753113,
-0.7775092124938965,
-0.329511821269989,
... |
This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
Such: 0523-66 46 74 | English | 0 | NIv2 | task1618_cc_alligned_classify_tel_eng | zs_opt | [
-0.4626040458679199,
0.1934792399406433,
0.91643887758255,
-0.18427708745002747,
-0.18789377808570862,
-0.30707669258117676,
0.19272565841674805,
-0.18631285429000854,
-0.2021082192659378,
-0.4014679789543152,
-0.24938632547855377,
-0.14723894000053406,
-0.6527470350265503,
-0.037032518535... |
Definition: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Input: To rezultat wykorzystania szybszych komputerów do budowy jeszcze szybszych.
Output: | هذا نتيجة الكمبيوترات الأسرع المستخدمة في صنع كمبيوترات أسرع منها. | 2 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.6862690448760986,
0.9326786994934082,
-0.3344917595386505,
-0.31337159872055054,
-0.40131789445877075,
0.5118669271469116,
1.21122407913208,
-0.19253738224506378,
0.9315903186798096,
0.045955874025821686,
-0.7799689769744873,
0.2164393961429596,
-0.035777874290943146,
0.4821985960006714... |
Detailed Instructions: You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Problem:Personality: I work as a bartender.
I used to be in the marines.
I m a vegetarian.
When I haven'thing else to do, I read books.
I like to write poetry.
Chat history: -
Candidates 1) Too funny. You must love red. Do you have other hobbies? 2) I would think so, my view from my condo here is awful, I want to move. 3) Hey... how are you doing tonight? 4) I love music and pizza is my favorite food. Guess where I work?
Solution: | Hey... how are you doing tonight? | 8 | NIv2 | task1730_personachat_choose_next | zs_opt | [
-0.7067984938621521,
0.7683397531509399,
-0.12292619049549103,
-0.18110699951648712,
-0.08430668711662292,
0.3514191508293152,
0.7369232177734375,
-0.20459860563278198,
0.5464434027671814,
-0.1490887850522995,
0.020365800708532333,
-0.7600433826446533,
0.03564741462469101,
-0.3208363652229... |
Detailed Instructions: You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Q: Personality: I like to play tennis.
My favorite food is a burger.
I work as an accountant.
My favorite color is red.
My favorite musical is Hamilton.
Chat history: -Happy Sunday! How are you today?
-Not bad. Just trying to get my hair untangled from my hoop earring. How about you?
-Watching tennis on Der, so happy. I would be happier playing, but this is good too.
-I once sketched a couple playing tennis. The intensity of their expressions was irresistable.
-It is intense, but fun. What do you like to do for fun?
-I love watching the stars come out, and watching charlie chase my laser pointer lol.
-Haha. I like laser pointers, the red dot. Its my favorite color.
-Mine is silver. I am craving pizza, like always! Do you like pizza.
-Yeah, but burgers are my favorite.
-What else do you do for fun?
Candidates 1) Some people are just so close minded. Gonna go to visit my friend in Japan soon. 2) I've a cat that's it, what about you. 3) Ha ha. maybe square dancing? 4) My current obsession is hamilton the musical. Seen it?
A: | My current obsession is hamilton the musical. Seen it? | 9 | NIv2 | task1730_personachat_choose_next | zs_opt | [
-0.39576035737991333,
0.3098450303077698,
-0.44886669516563416,
0.12251688539981842,
0.0710148885846138,
0.05965452268719673,
0.5148318409919739,
-0.05365728586912155,
-0.0423739068210125,
-0.2674490213394165,
0.06095489114522934,
-0.10999925434589386,
-0.048038605600595474,
-0.40158435702... |
Q: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
I_RUN I_RUN I_RUN I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK
A: | look around left after run thrice | 7 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.381813645362854,
0.9416161775588989,
-0.4730730950832367,
0.05804441124200821,
-0.1637800633907318,
0.20408995449543,
-0.09800499677658081,
0.6602135896682739,
-0.4237176775932312,
-0.25629737973213196,
-0.787001371383667,
-0.4055641293525696,
-0.8170775175094604,
-0.0205240361392498,
... |
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
[EX Q]: Congressional Pay for Performance Act - Suspends basic pay adjustments for Members of Congress, and requires pay reductions, until the deficit is reduced to below $50,000,000,000 without the enactment of any change in the Internal Revenue Code.
Requires an annual reduction in pay by a percentage equal to: (1) two percent times the number of hundreds of billions of dollars of the deficit in the first year after enactment; or (2) twice that percentage for any year following a year for which the deficit is not at least $100,000,000,000 less than the lowest level attained after enactment of this Act.
Suspends pay reductions upon enactment of a declaration of war and reinstates them when the state of war is concluded.
Restores pay adjustment procedures suspended by this Act, and provides for a rate of basic pay of twice the rate in effect as of the effective date of this Act, for the first year with respect to which the deficit is less than $50,000,000,000.
[EX A]: Congressional Pay for Performance Act
[EX Q]: Anton's Law - Directs the Secretary of Transportation to initiate a rulemaking proceeding to establish a safety standard for booster seats used in passenger motor vehicles as a form of child restraint. Directs the Secretary to complete a rulemaking proceeding to amend certain Code of Federal Regulations motor vehicle safety standards in order to: (1) require each seat belt assembly in the rear seats of a passenger motor vehicle to be a lap and shoulder belt assembly; and (2) apply such requirement to passenger motor vehicles beginning after the production year in which such regulations are prescribed in compliance with the implementation of a certain phase-in schedule.Amends the Transportation Equity Act for the 21st Century to extend the occupant protection incentive grants program for a two-year period.Amends Federal transportation law to authorize the Secretary to make: (1) a basic grant to any State that enacts a child restraint law by October 1, 2003; and (2) a supplemental grant to any such State if the child restraint law is an enhanced child restraint law. Sets forth certain grant requirements.
[EX A]: To provide for the improvement of the safety of child restraints in passenger motor vehicles, and for other purposes.
[EX Q]: Veterans Outreach Improvement Act of 2009 - Directs the Secretary of Veterans to establish a separate account for the funding of outreach activities of the Department of Veterans Affairs (VA) and a separate subaccount for the funding of outreach activities of the Veterans Health Administration, the Veterans Benefits Administration, and the National Cemetery Administration. Directs the Secretary to establish and maintain procedures for ensuring the effective coordination of VA outreach activities between and among such elements, the Office of the Secretary, and the Office of Public Affairs. Authorizes the Secretary to award grants to state veterans agencies to carry out, coordinate, and improve outreach by the VA and the states.
[EX A]: | To amend title 38, United States Code, to improve the outreach activities of the Department of Veterans Affairs, and for other purposes.
| 6 | NIv2 | task1659_title_generation | fs_opt | [
-0.12295927852392197,
0.02605520188808441,
-0.47592470049858093,
-0.018620971590280533,
-0.0001151177566498518,
-0.20432505011558533,
1.1827409267425537,
0.9346975684165955,
0.17987050116062164,
0.3147483468055725,
0.2843989431858063,
0.08036375790834427,
-0.23551513254642487,
0.0101209273... |
Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
Example input: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Example output: ອິຕາລີໄດ້ເສຍໃຫ້ປ໊ອກຕຸຍການ 31 ຕໍ່ 5 ໃນພູລ C ຂອງ ການແຂ່ງຂັນຣັກບີ້ລະດັບໂລກປີ 2007 ທີ່ ປາກເດແພຣັງ ປາຣີ ປະເທດຝຣັ່ງ.
Example explanation: This is a correct and accurate translation from Japanese to Lao because translated text is just paraphrased of Japanese sentence. Also, it preserves the numbers as it is.
Q: これはプレスリー氏の監督としての最初のシーズンで、彼は監督としての経験について質問され、次のように答えた。「この仕事を愛している。」
A: | ນີ້ແມ່ນລະດູທຳອິດຂອງ ເພຣັຊລີ່ ໃນນາມເປັນຜູ້ຈັດການ ແລະ ລາວໄດ້ຖືກຖາມເຖິງ ປະສົບການຂອງລາວໃນບົດບາດດັ່ງກ່າວ:"ຂ້ອຍມັກມັນ." | 3 | NIv2 | task1124_alt_ja_lo_translation | fs_opt | [
-0.7184544801712036,
0.5479987263679504,
-0.7559217214584351,
0.2484656125307083,
-0.03448980301618576,
-0.2892489731311798,
0.27734899520874023,
0.17663681507110596,
0.10133291780948639,
-0.7859888076782227,
-1.3146955966949463,
0.8358427286148071,
-0.5351512432098389,
0.9665525555610657,... |
In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
A lack of water has a direct connection on the amount of available (A) shelters (B) sustenance (C) rainy days (D) mates
B
In a decade spring occurs (A) three times (B) twelve times (C) ten times (D) twice
C
Beaches are harmed (A) when beach goers leave behind detritus on the sand (B) when turtles lay their eggs (C) when children play in the ocean (D) when seagulls nest in dunes
| A
| 0 | NIv2 | task1286_openbookqa_question_answering | fs_opt | [
0.40609002113342285,
0.4378788471221924,
-0.8865485191345215,
-0.19995510578155518,
-0.6108225584030151,
-0.7353523969650269,
0.595424234867096,
0.6562033891677856,
-0.6441283822059631,
0.4893679618835449,
-0.4530302882194519,
-0.1369543820619583,
-0.3144778907299042,
-0.43787264823913574,... |
Definition: Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
Input: Apps ah ban pannatha restore pannalum chaina apps ah ini use panna matta nu soldravanga mat2m like pannunga na kandippa use panna matten
Output: | Not Hope Speech | 2 | NIv2 | task680_hope_edi_tamil_text_classification | zs_opt | [
0.026856135576963425,
0.3179234266281128,
0.39564669132232666,
0.5506109595298767,
-0.11391642689704895,
-1.0662001371383667,
-0.17699995636940002,
1.0345109701156616,
-0.8863434791564941,
0.4913219213485718,
-0.6131962537765503,
0.17631199955940247,
-0.2054131031036377,
-0.550790071487426... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
One example is below.
Q: Comment: President lied under oath about consensual sex...
Not the same thing as rape.
A: Sexual-explicit
Rationale: This comment explicitly mentions "consensual sex" and "rape", and thus is sexual-explicit.
Q: Comment: And yet a man who "grabs her by the pussy" is elected president..
A: | Sexual-explicit | 9 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-1.2039926052093506,
0.07263197004795074,
0.3537217974662781,
0.20886215567588806,
0.0005554939853027463,
-0.4162403345108032,
-0.2390909045934677,
0.5183340907096863,
0.003850498702377081,
0.6704656481742859,
0.3875153064727783,
-0.1264403611421585,
-0.15968888998031616,
-1.03084409236907... |
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make your responses similar to the given correct answer. To this end, try to keep both the length and the style as similar as possible between the correct and the incorrect answer. To make your incorrect answers more difficult, try to incorporate words from context. To avoid being predictable or repetitive, try to add more variations and complexity.
One example is below.
Q: Context: I was told, in person over the phone, that my shoes were on their way. They have my money. I have no shoes.
Question: What may happen before I called them?
Correct answer: I found the money was charged but I have not got shoes.
A: I found the shoes were still on the way after several days.
Rationale: Excellent incorrect answer: as it includes topically relevant words while still being incorrect.
Q: Context: I made this blouse in the time I was n't posting . So now I took some time to photograph it for you . As a base I used the JJ pattern - I already have it fitted to my measurements and use it a basic shirt block . Very handy .
Question: What tools might I have used in making the blouse ?
Correct Answer: I might have used a sewing machine to make the blouse .
A: | I might have used a camera to make the blouse . | 9 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
0.3887770175933838,
0.8508691191673279,
-0.5489290952682495,
1.5025722980499268,
0.5363215804100037,
-1.0738167762756348,
0.43376559019088745,
1.002829670906067,
-0.5483750104904175,
-0.011655470356345177,
-0.4915025234222412,
-0.1948988139629364,
-0.11740262061357498,
0.018190570175647736... |
Instructions: In this task, you are given an abstract of article. Your task is to generate label "True" if abstract is structured, otherwise generate "False". A structured abstract is composed of a topic sentence (or key sentence), relevant supporting sentences, and a closing (or transition) sentence. This structure is key to keeping your abstract focused on the main idea and creating a clear and concise image.
Input: OBJECTIVE To assess the efficacy and tolerability of sulfasalazine (SSZ) in the treatment of spondylarthropathy.
METHODS We conducted a 6-month randomized, placebo-controlled, double-blind, multicenter study of patients with spondylarthropathy whose disease had remained active despite treatment with nonsteroidal antiinflammatory drugs. Patients were treated with SSZ (3 gm/day) or placebo. The primary efficacy variables were the physician's and patient's overall assessments, pain, and morning stiffness. End points were analyzed in the intent-to-treat and completer patient populations; the time course of effect was analyzed in the completer patient population.
RESULTS Of the 351 patients enrolled, 263 (75%) completed the 6-month treatment period. The withdrawal rates were 35 (20%) and 53 (30%) in the placebo and SSZ groups, respectively. In the intent-to-treat analysis of end point efficacy, the between-treatment difference reached statistical significance only for 1 of the 4 primary outcome variables, the patient's overall assessment of disease activity, for which 60% of the patients taking SSZ improved by at least 1 point on a 5-point scale, in contrast to 44% of the patients taking placebo. Laboratory markers of inflammation also showed statistically significant change in favor of SSZ. In subgroup analysis, the most impressive effects were seen in patients with psoriatic arthritis, both for the 4 primary efficacy variables and for secondary efficacy variables such as the number of inflamed joints. Adverse events were more frequent in the SSZ group than the placebo group, but all were transient or reversible after cessation of treatment.
CONCLUSION The results of this study show that SSZ had greater efficacy than placebo in the treatment of active spondylarthropathy, notably in patients with psoriatic arthritis.
Output: | True | 3 | NIv2 | task1589_scifact_classification | zs_opt | [
0.4561285376548767,
0.6772709488868713,
-0.7347943186759949,
-0.31887534260749817,
0.26089978218078613,
-1.0132217407226562,
1.3584012985229492,
0.5701478123664856,
0.3530305027961731,
0.06735462695360184,
-0.0735655128955841,
0.9464995861053467,
-0.37740182876586914,
0.19552013278007507,
... |
Given a sentence in Chinese, provide an equivalent paraphrased version from the original that retains the same meaning.
One example is below.
Q: 1975年的NBA赛季 - 76赛季是全美篮球协会的第30个赛季。
A: 1975-76赛季的全国篮球协会是NBA的第30个赛季。
Rationale: The paraphrase of the original sentence in Chinese is correct and accurate because even though sentence order has been changed, the denotion that the 30th season of the NBA occurred in the years 1975 - 1976 is retained.
Q: 当Patrick Logan到达Wisteria Lane时，他跑过Nick。
A: | 当Patrick Logan到达Wisteria Lane时，他跑过Nick。 | 9 | NIv2 | task775_pawsx_chinese_text_modification | fs_opt | [
-0.07539358735084534,
-0.6357123255729675,
-0.47379741072654724,
0.36839473247528076,
0.2776404917240143,
-0.5829386711120605,
-0.1264209747314453,
0.26128146052360535,
0.5323619246482849,
0.42247435450553894,
0.003380731213837862,
0.5929794907569885,
-0.1360149085521698,
0.308590859174728... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
See one example below:
Problem: (تصفيق) ومع ذلك هناك معارك سياسية في بلدنا.
Solution: (Applause) However there is a political battle in our country.
Explanation: The Arabic sentence is correctly translated into English, because the meaning is preserved.
Problem: هذا ألان أوكراينك من تورونتو.
Solution: | This is Allan Okrainec from Toronto. | 4 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
0.5515910983085632,
0.8687875270843506,
0.63904869556427,
-0.7418894171714783,
0.04771339148283005,
-0.39042675495147705,
0.7499439120292664,
-0.46273043751716614,
0.3207421898841858,
-0.1097128763794899,
-0.5297377705574036,
-0.03719255328178406,
-0.9332677125930786,
0.25564044713974,
0... |
In this task, you're given a statement, 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'.
Q: Context: In 1965 Link Information: Dino Paul Crocetti (June 7, 1917 – December 25, 1995) Question: How old was Dean Martin when Columbia Pictures acquired the rights to the Matt Helm novels?
A: | Answer: 48 | 4 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
0.8649322986602783,
-0.008521772921085358,
-0.058558136224746704,
-0.5321490168571472,
-0.37688472867012024,
-0.04374562203884125,
0.06540293991565704,
0.43622392416000366,
0.18624192476272583,
-0.16760654747486115,
-0.28774964809417725,
0.3216794729232788,
-1.4107756614685059,
-0.15545922... |
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.
Q: what movies are about pop art?
A: | The Party, Barbarella, Pierrot le Fou, Head, Our Man Flint, The Young Girls of Rochefort, Modesty Blaise, Chelsea Girls | 4 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
-0.9753646850585938,
0.6911199688911438,
-0.24180394411087036,
0.5224536061286926,
-0.7803226113319397,
0.9341627359390259,
0.3839590549468994,
-0.35888105630874634,
0.15808847546577454,
-0.5800270438194275,
0.08149982988834381,
-0.07342483103275299,
-0.1724601686000824,
-0.001910706749185... |
Detailed Instructions: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
See one example below:
Problem: #1 return secretaries
#2 return #1 born in state 'Alabama
#3 return departments managed by #2
#4 return distinct creation years of #3
Solution: What are the distinct creation years of the departments managed by a secretary born in state 'Alabama'?
Explanation: You should follow the steps in order to realize what is the asked question. In this example, the first returned entities are secretaries(based on step #1) who are born in Alabama(based on step #2). In the step #3 departments managed by step #2(which is secretaries born in Alabama. In the final steps the creation years of the departments is returned, so the question will be about the creation years of the departments.
Problem: #1 return bed types
#2 return room prices of #1
#3 return average of #2 for each #1
Solution: | For each bed type, find the average room price. | 4 | NIv2 | task184_break_generate_question | fs_opt | [
0.8142622113227844,
0.07693953812122345,
-0.7772946953773499,
0.29994314908981323,
0.15492749214172363,
-0.4731232821941376,
0.797661304473877,
0.4083036184310913,
-0.5230015516281128,
0.5164457559585571,
-0.30768316984176636,
0.5971219539642334,
-0.14703720808029175,
0.1837698519229889,
... |
Q: In this task, you are given a sentence in Persian, and your task is to translate it into English.
آن حالت متانت و وقاری که من در آن حالت این بوسهها را تحمل میکردم
A: | and the gravity and quiescence with which I underwent it, | 7 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
0.6079672574996948,
0.8682922124862671,
-0.13291162252426147,
-0.33867231011390686,
-0.6268734931945801,
-0.39086687564849854,
0.5561939477920532,
-0.01605135202407837,
1.09381103515625,
-0.45620280504226685,
-0.03304098919034004,
1.08391535282135,
0.16038763523101807,
0.3919365108013153,
... |
This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentioned in the passage
(ii) create questions which require information beyond what is provided in the passage in order to answer
(iii) replace an existing entity, number, date mentioned in the passage with other entity, number, date and use it in the question
(iv) create a question which is answerable from the passage and then replace one or two words by their antonyms or insert/remove negation words to make it unanswerable.
Q: Passage: The process of desegregation at Washington University began in 1947 with the School of Medicine and the School of Social Work. During the mid and late 1940s, the University was the target of critical editorials in the local African American press, letter-writing campaigns by churches and the local Urban League, and legal briefs by the NAACP intended to strip its tax-exempt status. In spring 1949, a Washington University student group, the Student Committee for the Admission of Negroes (SCAN), began campaigning for full racial integration. In May 1952, the Board of Trustees passed a resolution desegregating the school's undergraduate divisions.
A: | In what year was the Student Committee for Admission of Negroes established? | 4 | NIv2 | task348_squad2.0_unanswerable_question_generation | zs_opt | [
0.11097374558448792,
-0.02902773953974247,
-0.22858993709087372,
-0.07616761326789856,
0.18189358711242676,
0.5730377435684204,
0.30597248673439026,
0.994563102722168,
0.6786630153656006,
0.5324894189834595,
0.4115656912326813,
-0.1654999554157257,
-0.10398843139410019,
-0.0246122442185878... |
Teacher:You are given a passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be answered correctly without actually understanding the paragraph.
Teacher: Now, understand the problem? Solve this instance: It depends on who you are. If you are a person of authority who needs to verify someone's identity, then you would have to contact a russian embassy or consulate general that is closest to you and hope for their cooperation.\n\nIf you just know a passport number of a russian citizen and need to verify it, you can try contacting the consulate as well, but chances are they will not be very forthcoming with information since such matters are confidential.
Student: | Is it possible to verify a russian passport with the passport number if i'm in canada? | 6 | NIv2 | task1594_yahoo_answers_topics_question_generation | zs_opt | [
0.6819244027137756,
0.37103742361068726,
0.11403834074735641,
-0.7080326080322266,
-0.25224757194519043,
-0.12374665588140488,
1.4503787755966187,
0.4816489815711975,
-0.06225544214248657,
0.24176183342933655,
-0.38407957553863525,
-0.23679682612419128,
-0.8717716336250305,
0.0056221187114... |
You are given a passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be answered correctly without actually understanding the paragraph.
On Everest, it's around 65 degrees Celsius.
What is the boiling temperature of water at the highest elevation on earth?
The dog Brian make Family Guy the better show because he's so freaking cute and hilarious
waT'S beTTA-The simpsons or Family Guy? and y?
Publishing a book is a lot of hardwork. It takes 2 years sometimes for first timers. See URL below for broad steps. Steps differ based on what kind of books one would try publishing.
| What are the steps required to edit, publish and distribute a book?
| 0 | NIv2 | task1594_yahoo_answers_topics_question_generation | fs_opt | [
0.3901559114456177,
0.13539204001426697,
0.12895125150680542,
0.3259912431240082,
0.255681574344635,
-0.2812035381793976,
0.9404886960983276,
-0.3027559518814087,
0.21952471137046814,
-0.3488278388977051,
-0.5599031448364258,
0.35723036527633667,
-1.2937272787094116,
-0.025852102786302567,... |
Teacher:In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional information about the situation that might weaken or strengthen the hypothesis. A weakener is a statement that weakens the hypothesis, that is, it makes you much less likely to believe the hypothesis is true. A strengthener is a statement that strengthens the hypothesis, that is, it makes you much more likely to believe the hypothesis is true. Your task is to answer with 'strengthener' or 'weakener' if the update strengthens or weakens the hypothesis, respectively.
Teacher: Now, understand the problem? Solve this instance: Premise: A woman holding a propaganda sign
Hypothesis: The woman is involved in a protest.
Update: The woman is shouting and marching with other angry people.
Student: | strengthener | 6 | NIv2 | task936_defeasible_nli_snli_classification | zs_opt | [
0.07639598846435547,
-0.028947604820132256,
-0.26203322410583496,
-0.09216796606779099,
-0.17038094997406006,
-1.0281414985656738,
0.7745734453201294,
1.4331791400909424,
0.7566843032836914,
-0.35125404596328735,
-0.7505083084106445,
0.06633520126342773,
-0.32844632863998413,
-0.1697686612... |
Instructions: In this task, you need to reverse the order of words in the given sentence.
Input: Sentence: a black bear calmly swimming in the water
Output: | water the in swimming calmly bear black a | 3 | NIv2 | task376_reverse_order_of_words | zs_opt | [
0.35097208619117737,
1.3387911319732666,
-1.3875621557235718,
-0.5430796146392822,
-0.6259350776672363,
0.10473541915416718,
-0.14987300336360931,
-0.16080394387245178,
0.31903791427612305,
0.19707752764225006,
-0.13135603070259094,
0.03406214341521263,
-0.6103827953338623,
-0.636367738246... |
Detailed Instructions: Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
See one example below:
Problem: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Lao: ຂໍ້ມູນໄດ້ຖືກສະໜອງໂດຍ ເລຂາທິການຂົນສົ່ງ ສະຫະລາຊະອານາຈັກ ຣູດ ເຄລີ່ ໃນສະພາຕໍ່າ ທີ່ 1730 UTC ມື້ວານນີ້.
Solution: Yes
Explanation: The converted Lao sentence is correctly translated from Japanese because converted sentence has the same message as the original Japanese sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
Problem: Japanese: 少年らの親族は昨夜、カナダの軍事基地の入口前に回答を求めて集まった。
Lao: ພີ່ນ້ອງຂອງເດັກຊາຍຢູ່ປະຕູຂອງ ຖານທັບທະຫານ ການາດາ ມື້ຄືນນີ້ ເພື່ອຕ້ອງການຄໍາຕອບ.
Solution: | Yes | 4 | NIv2 | task1126_alt_ja_lo_answer_generation | fs_opt | [
-0.7179691791534424,
-0.14863279461860657,
-0.3954465985298157,
0.15503829717636108,
-0.14973638951778412,
-0.40412193536758423,
0.3522549271583557,
0.6155478954315186,
-0.4588692784309387,
-0.07821078598499298,
0.22404882311820984,
0.8221275210380554,
-0.26882922649383545,
0.8815830349922... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Sam, if I get too close to --
Output: | سام , اذا قمت بالاقتراب كثيرا من | 1 | NIv2 | task651_opus100_en_ar_translation | zs_opt | [
-0.18669652938842773,
0.16723522543907166,
0.3684939444065094,
-0.6946647763252258,
-0.36604511737823486,
-0.19764533638954163,
0.34976524114608765,
0.23517611622810364,
-0.21826651692390442,
0.7884887456893921,
-0.18266327679157257,
0.5186000466346741,
-0.5016664266586304,
-0.461154460906... |
Teacher:In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
Teacher: Now, understand the problem? Solve this instance: [header] How to weld underwater [title] Identify the site and material of the joint to be welded and clean it. [step] Most underwater welds involve steel, but metals may vary. [title] Prepare a chamber to place around the joint (each joint should have a separate chamber). <sep> (A) [step] Much of the sand used during welding will stick to metal, so consider covering the ground with sand if your project requires a flat surface. [title] Waste all the sand that is taken up by the joint. (B) [title] Find a weld compound for the joint to rest in and sandpaper those joints which are closely joined to one another for proper welder techniques. [title] Hammer the joints together using 100/200 grit sandpaper. (C) [step] Chambers range in size-some are large enough to fit several welder-divers, others are only small enough for the welding electrode. [title] Introduce gas into the chamber and pump out the water. (D) [title] Use coarse sand (also also known as regular sand) which should be used sparingly. [step] Sand is mineral grade, free from dirt and grease, making it easier to weld against the cliffs.
Student: | C | 6 | NIv2 | task1389_hellaswag_completion | zs_opt | [
-0.15388652682304382,
0.3234195113182068,
-1.2496908903121948,
-0.5465509295463562,
0.39372438192367554,
-0.8272655010223389,
0.8474162817001343,
0.944510281085968,
0.28696775436401367,
0.28314268589019775,
0.76982581615448,
0.48819413781166077,
0.26480385661125183,
0.152328759431839,
-0... |
In this task, you are presented with a term, a question, and a yes/no answer. For context, the term is associated with a short description. Write the simple facts one needs to know in order to answer the given question. The facts should be easily found on the web (e.g. mentioned in a Wikipedia page)
Example Input: Term: Sodium, Description: Chemical element with atomic number 11, Question: Atomic number 11 can be otherwise described as sodium?, Answer:Yes
Example Output: Fact1: Sodium is a chemical element Fact2: The atomic number for sodium is 11
Example Input: Term: Atmosphere of Earth, Description: Layer of gases surrounding the planet Earth, Question: Will a rock float in the atmosphere of Earth?, Answer:No
Example Output: Fact1: Things only float if they are less dense than the surrounding material. Fact2: Rocks are denser than air. Fact3: The atmosphere of Earth is made up of air.
Example Input: Term: Spanish–American War, Description: Conflict in 1898 between Spain and the United States, Question: Did US President during Spanish-American War suffer similar demise to Abraham Lincoln?, Answer:Yes
Example Output: | Fact1: The Spanish-American War lasted from April 21, 1898 to August 13, 1898. Fact2: William McKinley was President of the United States from March 4, 1897 to September 14, 1901. Fact3: William McKinley died from gun related injuries after an assassination attempt. Fact4: Abraham Lincoln died shortly after being shot by John Wilkes Booth.
| 3 | NIv2 | task169_strategyqa_sentence_generation | fs_opt | [
0.7215620875358582,
0.2195223867893219,
-0.20889125764369965,
0.04521922767162323,
-0.170008584856987,
-1.2608082294464111,
0.214647114276886,
0.8884650468826294,
-0.21272732317447662,
0.6353780627250671,
-0.48608648777008057,
-0.028292972594499588,
-0.3110871911048889,
-0.4742886126041412... |
You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Sentence1: Are there any places in the south section of town the has to do with multiple sports? Sentence2: Do you have in attractions in a type of park in the south? Sentence3: Okay. Have a great time! Sentence4: No that was all I needed right now, thanks very much. Goodbye. Sentence5: That sounds nice. Can you give me their address, postcode, and phone number, please? Sentence6: We have 2 parks in the south. I recommend Wandlebury Country Park. Sentence7: I sure can. They are located at Wandlebury Ring, Gog Magog Hills, Babraham. Their postcode is cb223ae. The phone number is 01223243830. Can I help you with anything else? Sentence8: Unfortunately, I don't see any that are in the south. Would you like me to check in another area of town? Question: Who has spoken the sentence 1? (A) User (B) System | Answer: (B) System | 0 | NIv2 | task638_multi_woz_classification | zs_opt | [
0.07751793414354324,
0.6240451335906982,
-0.9284963607788086,
-0.670026421546936,
-0.12268178164958954,
-0.9096192121505737,
0.2854611873626709,
0.7322158217430115,
0.21636857092380524,
-0.41213324666023254,
-0.6736952066421509,
-0.1732625663280487,
0.05278060585260391,
-0.3512459695339203... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the numbers 0 (entailment), 1 (neutral), or 2(contradiction).
sentence_A: The man isn't doing a magic trick. sentence_B: The man is doing a magic trick | 2 | 0 | NIv2 | task1612_sick_label_classification | zs_opt | [
-0.7109867334365845,
0.6757116913795471,
0.7375078201293945,
-0.7056550979614258,
0.2519514560699463,
-0.6124677062034607,
0.6489764451980591,
0.12019877135753632,
0.37298858165740967,
-0.13132509589195251,
-0.8003908395767212,
-0.42663514614105225,
-0.3306463956832886,
-0.2228787541389465... |
Detailed Instructions: In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
Q: [-30.405, -7.667, -99, -86, 32.494, 13, 5.438, 51.332, -70.728]
A: | [-99, -86, 13] | 9 | NIv2 | task367_synthetic_remove_floats | zs_opt | [
-0.3802911937236786,
0.4853717088699341,
-0.2997438311576843,
-0.9636252522468567,
-0.04300263524055481,
-0.6608675718307495,
1.1070445775985718,
-0.0713481456041336,
-0.15564848482608795,
0.40413570404052734,
-0.5269888639450073,
0.655937910079956,
0.05515437573194504,
0.08979343622922897... |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX may feel what is mentioned in the Tail or not. In this task, the feeling is an emotional reaction on the part of X or other participants in an event. For example, as a result of gift-giving, X might feel good about [one]self. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: PersonX blows PersonY's brains out<sep>Tail: shocked
Output: | Yes | 3 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.028610944747924805,
0.15527167916297913,
0.547272264957428,
-0.37279561161994934,
-0.3231457471847534,
-1.3829345703125,
1.235475778579712,
0.28181755542755127,
-0.2772054374217987,
-0.8082605600357056,
-0.3893943428993225,
-0.27226153016090393,
-0.7934869527816772,
0.40968456864356995,
... |
instruction:
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
question:
یکی از دوستانم این رو اینطوری توصیف میکنه که که فکر میکنم یک تعریف بسیار عالی هست
answer:
Un amigo meu describiuno como estar na propia verdade dun, e paréceme un xeito moi fermoso de dicilo.
question:
لازم نیست به شما یادآوری کنم که چقدر مهم است توانایی ارتباط میان نسلها. توانایی ارتباط میان نسلها.
answer:
Non fai falla que vos diga o importante que é a comunicación entre distintas xeracións.
question:
من خود ، تا حدی ، شامل آن شرایط از دوران مریضي بچگیم بودم.
answer:
| Eu reúno, en certa medida, esas condicións a partir da miña doenza cando era cativa.
| 9 | NIv2 | task1270_ted_translation_fa_gl | fs_opt | [
-0.6880766749382019,
0.7650827169418335,
0.0645008534193039,
-0.725737452507019,
-0.7515610456466675,
-0.4691419005393982,
1.0775277614593506,
0.4766196608543396,
0.312036395072937,
-0.45339176058769226,
-0.6911654472351074,
0.7784442901611328,
-0.9082441329956055,
0.6878113746643066,
0.... |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? How might this help other research or researchers?), Purpose (What specific things do the researchers want to do? What specific knowledge do the researchers want to gain? What specific hypothesis do the researchers want to test?), Method (How did the researchers do the work or find what they sought? What are the procedures and steps of the research?), or Finding (What did the researchers find out? Did the proposed methods work? Did the thing behave as the researchers expected?).
[EX Q]: and transmission electronic microscopy revealed the presence of an enveloped virus morphologically compatible with a coronavirus isolated in the cultures.
[EX A]: method
[EX Q]: particularly in outbreaks , it also has some limitations and can be associated with negative effects.
[EX A]: method
[EX Q]: Objectives To investigate the occurrence of respiratory pathogens in samples from children with and without respiratory symptoms and to identify whether age and / or coinfections modify the impact of respiratory pathogens on symptoms.
[EX A]: | purpose
| 6 | NIv2 | task1163_coda19_section_classification | fs_opt | [
0.28485679626464844,
-0.35943716764450073,
-0.2029028832912445,
-0.37470221519470215,
0.5220620632171631,
0.06887917220592499,
0.7723004817962646,
0.9922943115234375,
-0.08132533729076385,
0.13572490215301514,
-0.3717808127403259,
0.5948612689971924,
-0.11583662778139114,
0.312047958374023... |
Q: This task is to translate a news commentary given in Italian language into Zhuang language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Una seconda ragione è il fatto che l’Onu ha inserito l’eliminazione della povertà cronica tra i suoi nuovi Obiettivi di sviluppo sostenibile. Questo significa che le nostre decisioni su dove collocare la soglia di povertà sono destinate a influenzare non soltanto la missione della Banca mondiale, ma anche l’agenda di sviluppo dell’Onu e di tutti i paesi del mondo.
A: | 第二个原因是联合国将根除长期贫困列入了其可持续发展目标。这意味着我们决定将贫困线画在哪里可能不但会影响世界银行的使命，也会影响联合国及世界全体国家的发展日程。显然，在我们计算数字时，肩负着特殊的艰巨任务。 | 7 | NIv2 | task1376_newscomm_translation | zs_opt | [
-0.5950772762298584,
0.7834600210189819,
-0.49265867471694946,
-0.2950800061225891,
-0.08824638277292252,
-0.7245663404464722,
0.2924692928791046,
0.4622846841812134,
-0.12653106451034546,
0.2378358393907547,
-0.49000534415245056,
0.4430065155029297,
-0.1909291297197342,
0.0265653431415557... |
Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Input: Tede en conta que levamos dado 230 premios.
Output: | Recuerden, hemos dado 230 premios. | 2 | NIv2 | task1240_ted_translation_gl_es | zs_opt | [
-0.9232301712036133,
0.7744813561439514,
-0.169653058052063,
-1.0507878065109253,
-0.5181875824928284,
-1.1465065479278564,
0.3662509620189667,
0.5993283987045288,
-0.2285640984773636,
-0.5357911586761475,
-0.626404345035553,
0.41159284114837646,
-1.0377545356750488,
0.4948926568031311,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Q: Também podemos ver nesta filmagem dois elementos importantes.
A: | In this clip you can see two other important elements. | 4 | NIv2 | task1274_ted_translation_pt_en | zs_opt | [
0.013667885214090347,
1.2219468355178833,
-0.20487618446350098,
0.05624030530452728,
-0.4879322648048401,
0.21328942477703094,
-0.03611469268798828,
1.316561222076416,
0.25845420360565186,
0.07622544467449188,
0.056869424879550934,
-1.099161982536316,
0.08734487742185593,
0.729325771331787... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
Q: Washington (CNN) -- Just two months after the brinksmanship of the "fiscal cliff," on Friday Washington faced yet another deadline to avoid yet another fiscal calamity of its own making. But this time, something is different. As congressional leaders met in the White House on Friday for what was little more than a photo-op on the day forced budget cuts went into effect, this time there are no 11th-hour negotiations to save the day. There is no last-minute effort to call in Vice President Joe Biden on behalf of Democrats or Senate Minority Leader Mitch McConnell on behalf of Republicans to get things back on track.Washington faced yet another fiscal deadline -- this time with no real effort to negotiateCouples therapist: Democrats, Republicans lost sight of big picture, are just arguing to winCouples mediator: Disagreements should be used to find solutions
Questions:"And that's exactly what they're doing -- the Democrats and the _ are doing with each other. (A) Washington (B) CNN (C) White House (D) Joe Biden (E) Democrats (F) Senate (G) Mitch McConnell (H) Republicans
A: (H)
****
Q: The brother of a woman murdered by her husband is accused of mishandling more than $30,000 raised by a charity formed in her memory. Sheri Coleman, 31, together with her sons Garett, 11, and Gavin, 9, were found strangled in their beds in Columbia, Illinois, in 2009. Husband Christopher Coleman, a former chief of security for televangelist Joyce Meyer, was convicted of first-degree murder two years later and is serving a life sentence without the possibility of parole. Mario DeCicco was named in Tuesday's lawsuit which alleges that 'at least $33,173' of the money donated to the Sheri Ann & Her Boys charity has been improperly spentMario DeCicco is accused of spending 'at least $33,173' of the money donated to the Sheri Ann & Her Boys charityHis sister, Sheri Coleman, together with sons Garett, 11, and Gavin, 9, were found strangled in their beds in Columbia, Illinois, in 2009Husband Chrisopher, a former chief of security for televangelist Joyce Meyer, was convicted of first-degree two years laterFriends and neighbors raised the money which was supposed to go towards help victims of domestic abuseDeCicco said last year that he had donated $28,000 to a woman's shelter in Chicago, but the lawsuit says that is simply not true
Questions:According to the prosecution, _ started sending his family threatening, expletive-filled messages from a gmail account he set up himself. (A) Sheri Coleman (B) Garett (C) Gavin (D) Columbia (E) Illinois (F) Christopher Coleman (G) Joyce Meyer (H) Mario DeCicco (I) Sheri Ann & Her Boys charity (J) Sheri Ann & Her Boys (K) Husband Chrisopher (L) DeCicco (M) Chicago
A: (F)
****
Q: The night Geoff Hunt killed his family before taking his own life his wife Kim had raged at him about finances, claiming one of her husband's brothers was stealing from the family trust. An inquest into the deaths of Lockhart farmer Geoff, nurse Kim and their children Fletcher, 10, Mia, 8, and Phoebe, 6, is taking place this week. A forensic psychologist told the inquest it's likely the farmer primarily wanted to kill himself due to his depression and a total loss of hope. However, he may have decided to kill his family as he believed they were dependent on him and he thought 'he would spare them future pain'. His use of a gun to inflict a single fatal injury also indicates he did not wish to inflict pain on his wife and children, the psychologist said.Inquest into brutal deaths of the Hunt family in rural NSW began TuesdayPolice say Geoff Hunt, 44, killed wife, Kim, and their three young childrenHearing told Hunt blamed himself for the brutal murders in a suicide noteKim struggled with physical and mental issues after near-fatal car accidentThe father packed his children's lunches for school next day in final hoursState Coroner Michael will preside over four days of hearings in NSWTragic shooting took place in Lockhart, NSW, on September 9, 2014
Questions:She has described Mrs Hunt as 'a little firecracker who loved _ and the kids, even through the tough times'. (A) Geoff Hunt (B) Kim (C) Lockhart (D) Fletcher (E) Mia (F) Phoebe (G) Hunt (H) NSW (I) Michael
A: | (A)
****
| 4 | NIv2 | task302_record_classification | fs_opt | [
-0.23671270906925201,
-0.07757347822189331,
-0.5543317794799805,
-0.06868845224380493,
0.6584690809249878,
-0.09142467379570007,
0.6477857828140259,
1.0544685125350952,
-0.23639358580112457,
0.16923129558563232,
-0.19101575016975403,
0.8497682809829712,
-0.6956902146339417,
0.6293157339096... |
In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave, your understanding, and your senses. Although there might be several correct answers, you need to write one of them.
Let me give you an example: Acute pain was observed after taking MTX
The answer to this example can be: MTX
Here is why: MTX is a medicine which has been mentioned here, and hence the name should be tagged.
OK. solve this:
We believe that this is the first report of secretory carcinoma of the endometrium associated with tamoxifen use.
Answer: | tamoxifen | 8 | NIv2 | task1447_drug_extraction_ade | fs_opt | [
0.6657457947731018,
0.37148067355155945,
-0.20408207178115845,
-0.7763887643814087,
-0.3525465130805969,
-1.336004376411438,
0.896011233329773,
0.5499931573867798,
0.9316768646240234,
-0.5085358619689941,
-0.9544519782066345,
-0.2772808372974396,
-0.8092848062515259,
-0.15622714161872864,
... |
Given the task definition and input, reply with output. In this task, you are given one english sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into German.
A general risk assessment of vector-borne diseases in Europe was carried out, the results of which will be published in the near future.
| Es wurde eine allgemeine Risikobewertung für vektorübertragene Krankheiten in Europa durchgeführt, deren Ergebnisse demnächst veröffentlicht werden. | 5 | NIv2 | task1396_europa_ecdc_tm_en_de_translation | zs_opt | [
-0.10695208609104156,
0.7844635248184204,
0.16222801804542542,
-0.1698024868965149,
-0.16165047883987427,
0.23622018098831177,
0.3138619363307953,
0.4800226092338562,
0.2196573168039322,
-0.2626471519470215,
0.17516419291496277,
0.9319788217544556,
-0.39786529541015625,
-0.0226666405797004... |
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answer can be found in the passage, label it as "span". If the answer is a number, label as "number". Similarly, label "date" if you think the answer to the given question is a date.
[Q]: Passage: Trying to snap a two-game losing streak, the Falcons flew a second time to Giants Stadium for a Week 15 inter-conference battle with the New York Jets; Matt Ryan returned from his toe injury. In the first quarter, Atlanta drew first score with Matt Bryant kicking a 24-yard field goal. The Jets took the lead with Mark Sanchez launching a 67-yard touchdown pass to wide receiver Braylon Edwards. The second quarter remained scoreless as the Jets attempted a 19-yard field goal, but Kellen Clemens fumbled the ball, causing him to get tackled by Brent Grimes. After yet another scoreless quarter (third), the Jets attempted a 37-yard field goal, but it was blocked by Chauncey Davis. The Falcons, with one last chance, made a late fourth and goal play, where Ryan hooked up with Tony Gonzalez for a 6-yard touchdown pass. New York got the ball back, but Brent Grimes' interception sealed the win for Atlanta. With the win, the Falcons improved to 7-7. However, they were eliminated from playoff contention due to the Cowboys' 24-17 win against the Saints the previous day.
Question: How many points got Atlanta on the board?
[A]: number
[Q]: Passage: On October 8, the Chiefs traveled to Glendale, Arizona for their first game in the University of Phoenix Stadium to face the Arizona Cardinals. Trent Green was still recovering from his concussion, and Arizona's rookie quarterback Matt Leinart made his career start. The game was broadcast on CBS 1:15pm Arizona time. The game began with Arizona's offense dominating and catching the Chiefs' defense off-guard with a 49-yard touchdown pass to Wide receiver Anquan Boldin, putting the Cardinals on the scoreboard within three minutes of the game. On the opening kickoff, Dante Hall was injured and left the game, leaving rookie Jeff Webb to return the kicks for the rest of the game, including a 56-yard punt return. Samie Parker caught a 15-yard touchdown pass, leaving the Chiefs within three points of the Cardinals (17-20). The play was officially reviewed as the referees initially thought Parker caught the ball out of bounds, but the referees decided it was caught in the endzone. Damon Huard threw Larry Johnson a 78-yard screen pass that would be stopped short of a touchdown when Antrel Rolle twisted Johnson's neck by grabbing his facemask, sending him to the turf motionless for 2 minutes. Johnson recovered and received a standing ovation. The NFL fined Rolle $12,500 for his penalty. It was the second time in the 2006 season in which Rolle had been fined for an illegal tackle. The play set up Lawrence Tynes' eventual game-winning field goal, leaving the Chiefs with the 23-20 lead. Neil Rackers set up for a kick with less than 15 seconds to play in order to send the 23-20 contest into overtime. Rackers missed the uprights by a foot with seconds left in the game.
Question: Who caught the first TD pass of the game?
[A]: span
[Q]: Passage: The Eagles and Cincinnati Bengals played to a 13-13 tie. Donovan McNabb turned the ball over on a sack at the end of the first quarter, leading to a Bengal field goal. A 44-yard catch and run by Correll Buckhalter set up a 42-yard David Akers field goal to tie the score early in the second quarter. McNabb was picked off in Bengal territory with less than two minutes left in the half, and Cincinnati scored four plays later on a 26-yard touchdown reception by T. J. Houshmandzadeh. The Bengals added another field goal early in the third quarter to take a 13-3 lead. Hank Baskett came up with a 57-yard completion, followed by a 4-yard touchdown reception by L.J. Smith to make it 13-10. In the fourth quarter, Philadelphia tied the game on a field goal after a 13-play drive. The offenses struggled throughout the rest of regulation and the game went to overtime. The Eagles won the toss, but the Bengals had the field position advantage throughout most of overtime. Nevertheless, neither team could score. The Bengals had a chance to win on 47-yard field goal attempt by Shayne Graham, but the kick went wide right and the game ended in a tie. McNabb passed for 338 yards and a touchdown, but had three interceptions (all in Cincinnati territory) and a lost fumble. The defense registered eight sacks. This was the first game in the NFL to end in a tie since the 2002 Falcons-Steelers game. It was also played 11 years to the day since the Eagles' last tie game. After the game, several Philadelphia players, including Donovan McNabb, explained that they did not realize a game could end in a tie, causing controversy because this could have changed the strategy in the overtime period. (This was a regular season game, so there was a limit of one overtime period.) With the tie, the Eagles fell to 5-4-1, putting them back into last place in the NFC East.
Question: Which team got on the board second?
[A]: | span
| 5 | NIv2 | task027_drop_answer_type_generation | fs_opt | [
0.6878666877746582,
0.2680162787437439,
-0.8140168190002441,
0.17328794300556183,
0.26009565591812134,
0.06981038302183151,
1.0282418727874756,
0.6095457077026367,
-0.23786669969558716,
-0.04531990736722946,
-0.13855679333209991,
0.8202266693115234,
-0.8432111740112305,
0.0737825483083725,... |
In this task, you are given a question. You have to answer the question based on your information.
[EX Q]: Yeo Jin-goo was in what movie that had a toal of 1,066,765 admissions across South Korea?
[EX A]: Sad Movie
[EX Q]: How many people are employed by the laboratory across from McKenzie, Maryland?
[EX A]: some 1,000
[EX Q]: Which NFL team selected Kaep in the 2011 draft?
[EX A]: | the San Francisco 49ers
| 6 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | fs_opt | [
-0.6546800136566162,
-0.1512373983860016,
-0.2232055962085724,
-0.20658951997756958,
0.16288350522518158,
-0.08639603853225708,
0.029911139979958534,
-0.39974477887153625,
-0.3028671145439148,
-0.012846192345023155,
-0.1235746443271637,
-0.92116779088974,
-0.06372158974409103,
0.1691114604... |
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Ex Input:
Given Relationship: 'be language of', Sentence: 'In the Greek New Testament , the Greek language is not as much influenced by figures of speech as the Old Testament .'
Ex Output:
language
Ex Input:
Given Relationship: 'flow into', Sentence: 'The Jordan River and a lot of mountain streams flow down into the Dead Sea , but the only way for water to leave is through evaporation .'
Ex Output:
into
Ex Input:
Given Relationship: 'present at', Sentence: 'SAE Technical Paper #970556 , Presented at the SAE International Congress and Exposition , Cobo Hall , Detroit , Michigan , March 1997 .'
Ex Output:
| Presented
| 1 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.02874448522925377,
0.3206077814102173,
-0.06548360735177994,
-0.26693078875541687,
0.09660645574331284,
-1.0002541542053223,
0.5753632187843323,
0.46120452880859375,
0.08092745393514633,
0.21218156814575195,
0.18270443379878998,
0.4181152582168579,
-1.1378101110458374,
0.048377826809883... |
A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
ਗਰੀਬਾਂ ਨੂੰ ਸਸਤੀ ਦਵਾਈ ਲਈ ਭਾਰਤੀ ਜਨ ਔਸ਼ਧੀ ਪ੍ਰਾਜੈਕਟ ਸ਼ੁਰੂ ਕੀਤਾ ਗਿਆ ਹੈ। 500 ਤੋਂ ਜ਼ਿਆਦਾ ਦਵਾਈਆਂ ਨੂੰ ਘੱਟ ਕਰਕੇ ਉਨ੍ਹਾਂ ਨੂੰ essential ਦਵਾਈਆਂ ਦੀ ਲਿਸਟ ਵਿੱਚ ਰੱਖਿਆ ਗਿਆ ਹੈ। | সম্প্রতি, ডিজিটাল ক্যান্সার নার্ভ সেন্টার-ও কাজ শুরু করে দিয়েছে। | 0 | NIv2 | task1026_pib_translation_punjabi_bengali | zs_opt | [
-0.33226585388183594,
0.7208185195922852,
0.10752184689044952,
-0.2874634861946106,
-0.4722769856452942,
-0.5723204016685486,
1.1244972944259644,
0.333646297454834,
0.11527042835950851,
-0.36216217279434204,
-1.5380427837371826,
-0.15133580565452576,
-0.0780290812253952,
0.2105957716703415... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
One example: Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr.
Solution is here: Isto inclúe un sistema en árabe chamado al-jebra.
Explanation: The Italian sentence is correctly translated into Galician, because the meaning is preserved.
Now, solve this: Era immediatamente evidente che era perfettamente sana, lucida e con una buona intelligenza. Ma era molto allarmata, e molto sconcertata, perché vedeva delle cose.
Solution: | A primeira cousa evidente era que estaba perfectamente corda e lúcida e que era intelixente, pero estaba moi asustada e perplexa, porque estivera a ver cousas. | 6 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
-0.03806362301111221,
1.215397834777832,
-0.11470302939414978,
-0.1322537511587143,
-0.2925882339477539,
-1.192652940750122,
0.7506427764892578,
0.3988674581050873,
-1.0270771980285645,
-0.007776491343975067,
-0.49645477533340454,
-0.24414855241775513,
-0.9978632926940918,
0.34328857064247... |
You will be given a definition of a task first, then some input of the task.
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
total of all entries must not exceed % d
Output: | the sum of the items must not exceed % d | 1 | NIv2 | task177_para-nmt_paraphrasing | zs_opt | [
-0.36687445640563965,
0.8447989225387573,
-0.15672853589057922,
-0.10049927234649658,
-0.14627009630203247,
0.38767069578170776,
0.7433900833129883,
0.6399050951004028,
-0.18361970782279968,
-0.06345207989215851,
-1.177621603012085,
-0.5434188842773438,
-0.13938522338867188,
-0.18460007011... |
In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Tweet: @justineungaro - You and me both! She is one big FML, I say. Question: is it a positive tweet? | yes | 0 | NIv2 | task196_sentiment140_answer_generation | zs_opt | [
-1.1397128105163574,
-0.505691647529602,
-0.22162802517414093,
0.0688982829451561,
-0.054204583168029785,
-1.1072345972061157,
0.3694673180580139,
-0.2530958354473114,
0.15488287806510925,
0.2709646224975586,
0.01163011696189642,
-0.6716829538345337,
-0.1084851622581482,
-0.286876559257507... |
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