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 |
|---|---|---|---|---|---|---|
Definition: In this task, you are given an input text which is in one of the 11 languages listed as follows: ['Oriya' 'Malayalam' 'Bengali' 'Gujarati' 'Hindi' 'English' 'Marathi'
'Panjabi' 'Tamil' 'Telugu' 'Urdu']. Identify the language of input text. The input text can be in one of the given languages only. Input sentences must only have one language at a time.
Input: শ্রী মোদী বলেন, বালাসোর-হলদিয়া-দূর্গাপুর রান্নার গ্যাসের পাইপলাইনটি ওড়িশা ও পশ্চিমবঙ্গের নানা জায়গায় রান্নার গ্যাস সরবরাহে গুরুত্বপূর্ণ ভূমিকা নেবে, সেইসঙ্গে পরিবহন খাতে খরচ ও সময় উভয়ই স্বাশ্রয় হবে।
Output: | Bengali | 2 | NIv2 | task976_pib_indian_language_identification | zs_opt | [
-0.6670893430709839,
0.6727690100669861,
0.3499829173088074,
-0.07465130090713501,
-0.6507126688957214,
-0.4621928930282593,
0.3222224712371826,
-0.08931973576545715,
0.10997612029314041,
0.03412299230694771,
-0.7088987231254578,
0.12477679550647736,
0.6858969330787659,
-0.0946409255266189... |
Q: You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Event:PersonX has to buy another one. Intent: 1) to talk 2) to understand
A: | Positive | 7 | NIv2 | task923_event2mind_classifier | zs_opt | [
-0.6670153141021729,
0.009833471849560738,
0.0944509506225586,
-0.1202317625284195,
-0.12011148035526276,
-0.9144450426101685,
0.7669848799705505,
-0.14227136969566345,
0.3733940124511719,
0.10501040518283844,
-0.09018788486719131,
0.09893094003200531,
-0.5390371084213257,
0.03636696189641... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using words (e.g., suggest, advice, recommend), verbs (e.g., can, could, should, may), or using questions (e.g., why don't you's, how about, have you thought about). (2) Indirect advice: contains hints from personal experiences with the intention for someone to do the same thing or statements that imply an action should (or should not) be taken.
Our ruminating thoughts will still show up while you do it but you'll slowly be teaching yourself to let go of those thoughts and let them pass by.
Solution: yes
Why? This sentence suggesting someone to let go of their respective thoughts. Hence the answer is "yes".
New input: I was thinking if you had weekends off maybe you could try to find a bar tending gig for those days ?
Solution: | no | 0 | NIv2 | task115_help_advice_classification | fs_opt | [
0.1863941252231598,
0.5937196016311646,
0.12399853020906448,
0.2581903338432312,
0.3375966548919678,
-1.1904107332229614,
0.9022267460823059,
0.945817768573761,
-0.1821703016757965,
0.47119951248168945,
-0.29836875200271606,
-0.40092524886131287,
-0.6385664939880371,
-0.09973899275064468,
... |
Detailed Instructions: You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should not change any content in the given question beyond a word or two i.e. the trigger word/phrase. PersonX and PersonY should not be equally likely to fill the blank. For your question, PersonY should be a well-agreed answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people or generic names (e.g., Donald Trump, John Doe, etc.) in your question. Avoid repeating the same style or phrase in generating your modified question e.g. this task can be always solved using a simple negation i.e. by adding not, never, etc. Instead, try to increase the word diversity. Your question must contain at least 15 and at most 30 words. Your question must have at least 70% overlapping words with the given question. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that PersonX and PersonY have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY. Although there are many correct answers, you only need to write one of them.
Problem:Context Word: teacher.
Question: Since PersonX was the math teacher of PersonY, _ graded their math problems over the weekend.
Answer: PersonX
Solution: | Since PersonX was the math teacher of PersonY, _ had their math problems graded over the weekend. | 8 | NIv2 | task035_winogrande_question_modification_person | zs_opt | [
0.5251120924949646,
0.31317052245140076,
-0.37581437826156616,
-0.8660612106323242,
0.3872233033180237,
-0.8491001129150391,
1.332488775253296,
0.8923125863075256,
-0.2811938226222992,
-0.743632435798645,
-0.30446481704711914,
0.17280825972557068,
-0.5126557946205139,
0.08274131268262863,
... |
Teacher:In this task, you are given a sentence in English, and your task is to translate it into Persian.
Teacher: Now, understand the problem? Solve this instance: Thailand: North Korean Refugees in Thailand · Global Voices
Student: | تایلند: شرایط بد پناهندگان | 6 | NIv2 | task663_global_voices_en_fa_translation | zs_opt | [
-0.23723594844341278,
0.30347636342048645,
0.14895662665367126,
-0.5266788005828857,
-0.08457750082015991,
-0.6061162948608398,
0.17694726586341858,
0.44941842555999756,
-0.10509925335645676,
0.5840551853179932,
0.1268526315689087,
-0.031027276068925858,
-0.052449099719524384,
-0.272246897... |
Detailed Instructions: 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 neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Problem:Sentence 1: Two enormous elephants standing on a platform not fenced in, with a lady sitting causally sitting on a bench, in front of them. Sentence 2: There is a lady in front of the elephants.
Solution: | The elephants are siblings. | 8 | NIv2 | task184_snli_entailment_to_neutral_text_modification | zs_opt | [
-0.20596358180046082,
0.39307892322540283,
-0.031164878979325294,
-0.5238543748855591,
-0.509559154510498,
-0.10318325459957123,
0.052951961755752563,
0.5636523365974426,
0.4093727469444275,
-0.3676850199699402,
-0.31361985206604004,
-0.35037192702293396,
-0.6823673248291016,
0.08903562277... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
"@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Solution: Hate Speech
Why? The writer mentions emotions like hating so it is clearly a hate speech.
New input: @AnthonyCumia pussy
Solution: | Offensive | 0 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.45587924122810364,
0.14286914467811584,
0.5135878324508667,
0.16557924449443817,
-0.3652433156967163,
-0.5813082456588745,
0.2992725372314453,
0.3277067542076111,
0.29906219244003296,
0.35711032152175903,
-0.10746190696954727,
-0.2336512804031372,
-0.6501748561859131,
-0.624577164649963... |
Teacher:In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Teacher: Now, understand the problem? Solve this instance: Ash was looking for a certain type of fabric for a fashion project but could not find that specific type.
Student: | What will Ash want to do next? | 6 | NIv2 | task596_mocha_question_generation | zs_opt | [
-0.22055329382419586,
0.4545794129371643,
0.2004101574420929,
-0.11937583982944489,
-0.5755677223205566,
0.16742388904094696,
0.26377469301223755,
0.23289422690868378,
0.23495294153690338,
-0.1146509051322937,
-0.6127198338508606,
-0.22476507723331451,
-0.26366597414016724,
0.0082366624847... |
Definition: This task is about translating a given French language sentence to English.
Input: SALE CLASSE CHEATEEEE !!!!
Output: | WHY!!!! YOU SUCKS HOLLYWOOD!!!!!!! | 2 | NIv2 | task1690_qed_amara_translation | zs_opt | [
-0.4503846764564514,
0.27256596088409424,
-0.1373099684715271,
-0.20660801231861115,
0.2920815348625183,
0.12757688760757446,
-0.16527707874774933,
0.47569888830184937,
0.31892889738082886,
0.15706056356430054,
-0.04590936750173569,
0.4502333402633667,
-0.1436793953180313,
-0.4688634872436... |
Given the task definition and input, reply with output. 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.
[49, 27, 34.516, 21.021, -3.262, -68, -5.521, -29.708]
| [49, 27, -68] | 5 | NIv2 | task367_synthetic_remove_floats | zs_opt | [
0.1149318665266037,
0.5465754270553589,
-0.08992874622344971,
-0.33805549144744873,
0.05566655099391937,
-0.15525606274604797,
0.966302216053009,
0.26686474680900574,
-0.2548239231109619,
0.02211352065205574,
-0.5846143960952759,
0.09122303128242493,
-0.09117665886878967,
0.003424238879233... |
Instructions: The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Yes if the utterance contains the self-need strategy, otherwise output No. self-need is a selfish negotiation strategy. It is used to create a personal need for an item in the negotiation, such as by pointing out that the participant sweats a lot to show preference towards water packages.
Input: Context: 'Hi there.. I'm sorry, I didn't see your offer as it doesn't show it for 10 messages, I believe. So, here's the situation.. I think I can get by with less firewood as I'm a Floridian and prefer it cooler anyway.. also the food is not a huge thing for me as we can catch / improvise around the campsite - but I'm definitely interested in as much water as possible.. both for cooking and cleaning purposes, as well as drinking, of course. 🙂' 'okay so what do you suggest' 'Well, I recognize you're gonna need water too.. so I'd love to take 2 of them, giving you one and I'm totally ok with going 1 on the firewood and one on the food.. that way we all ensure we have enough.. you're making out a bit better in quantity that way but I think its best for both of us 🙂'
Utterance: 'i botttle of water for a can of food and 2 firewoods'
Output: | No | 3 | NIv2 | task356_casino_classification_negotiation_self_need | zs_opt | [
0.043704234063625336,
0.08595683425664902,
-0.2026602029800415,
0.09327545762062073,
-0.16482093930244446,
-1.3598641157150269,
0.09565915167331696,
0.7341580390930176,
-0.32126787304878235,
0.29763394594192505,
0.3528001308441162,
-0.14011961221694946,
-1.0979968309402466,
-0.356701135635... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surprise', 'happiness', 'sadness', 'anger', 'disgust'.
Input: Consider Input: Person1: Are you alright , child ?
Person2: Hey , I still know my name .
Person1: What did the nurse say ?
Person2: She said I have a fever but nothing major .
Person1: In that case , you should go home and get plenty of rest .
Person2: What if this small fever turns into a big fever ?
Person1: Then I'll phone our family physician and make an appointment for you .
Output: No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion
Input: Consider Input: Person1: How time flies !
Person2: Bill and Betty have already grown up .
Person1: I can still remember our first date .
Person2: Look at that big tree over there .
Person1: Yeah , oh my god ! It ’ s still there . We have our first date right on there .
Person2: Do you know that I fell in love with you at the first sight then ?
Person1: You seemed to be dull at that time .
Person2: But you agreed to go out with me at last .
Person1: ( Smile ) I can ’ t believe this for it ’ s been 20 years since we got married .
Person2: So do you feel happy now ?
Person1: I couldn ’ t have been any happier !
Person2: Of course , we are the happiest family in the world .
Output: happiness,happiness,happiness,happiness,happiness,happiness,happiness,happiness,happiness,happiness,happiness,happiness
Input: Consider Input: Person1: Hi , sorry to have kept you waiting .
Person2: That's all right .
Person1: How are you ?
Person2: Fine , and you ?
| Output: No emotion,No emotion,No emotion,No emotion
| 2 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.09588685631752014,
0.2847273349761963,
-0.21299150586128235,
0.16411222517490387,
0.29801666736602783,
-0.9840713739395142,
0.8556035757064819,
0.11944155395030975,
-0.028055179864168167,
-0.14016807079315186,
-0.40711814165115356,
0.19867709279060364,
-0.25716936588287354,
0.42919966578... |
In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answer
5142 # 5370 # 8292 @ 827 @ 9263 # 9184 @ 8692
1078
8997 @ 8611 # 604 @ 1810 # 1906 @ 5956
22864
944 # 2916 @ 2300
| 328
| 0 | NIv2 | task087_new_operator_addsub_arithmetic | fs_opt | [
-0.5892659425735474,
0.4043726921081543,
-1.0352952480316162,
-0.08361844718456268,
-0.660857081413269,
-0.24817462265491486,
0.18342991173267365,
1.0713061094284058,
0.5899721384048462,
-0.09022869914770126,
-0.6957157850265503,
-0.3419857621192932,
-0.04035043716430664,
0.189775586128234... |
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
One example is below.
Q: Statement: Next to the MGM Grand you will find M and M World, four stories of merchandise and memorabilia dedicated to the candy that doesn't melt in your hand. Choices: 1. The candy has many fans who love its attractions. 2. There's four stories of memorabilia dedicated to a candy. 3. That particular candy melts and becomes difficult to eat.
A: 3
Rationale: It is said in the statement that the candy doesn't melt in your hand, but the sentence in choice 3 disagrees with it.
Q: Statement: Today it is usually used as the castle parking lot, but it offers superb views of both Princes Street to the north and the Old Town to the south. Choices: 1. It doesn't offer any views of Princes Street. 2. Princes Street is more to the north than Old Town, which is in the south. 3. It is also used as a gathering space.
A: | 1 | 9 | NIv2 | task202_mnli_contradiction_classification | fs_opt | [
0.1511266827583313,
0.22565987706184387,
-0.15473680198192596,
0.13997478783130646,
0.36805808544158936,
-0.9479086995124817,
-0.4679500162601471,
0.8724737167358398,
0.08107567578554153,
0.04840310662984848,
-0.1245780885219574,
-0.3300531804561615,
-0.17223599553108215,
-0.71237432956695... |
Detailed Instructions: In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Q: Fact1: Mollusks are a major food source for other organisms, including humans., Fact2: An abalone is a shellfish or mollusk., Question: what is a major food source for humans? (A) honeybees (B) poison (C) abalones (D) carbon monoxide (E) rabbit (F) trees (G) insects (H) stomach
A: | C | 9 | NIv2 | task1297_qasc_question_answering | zs_opt | [
0.592785656452179,
0.5777836441993713,
-0.10019723325967789,
-0.3859104812145233,
-0.8996286988258362,
-1.140181064605713,
0.801215410232544,
0.04177742823958397,
0.005974969826638699,
-0.4755661189556122,
-0.41051313281059265,
-0.6223095655441284,
-0.5031402111053467,
0.025285866111516953... |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
He picks up the liquor bottles that he will be using for the drinks. He | stretches his hand as if to drink it but then goes on putting his back on the table again. | 0 | NIv2 | task453_swag_answer_generation | zs_opt | [
0.6834684610366821,
1.5157279968261719,
0.10205323994159698,
0.16495788097381592,
-0.4581194221973419,
0.01055344007909298,
-0.22186309099197388,
0.521885871887207,
0.6278631687164307,
0.019663002341985703,
0.08262830227613449,
0.27743884921073914,
-1.3719990253448486,
0.13735876977443695,... |
This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
One example: ఇల్లు అందంగా ఉంది
Solution is here: Telugu
Explanation: The language is Telugu so it is correct.
Now, solve this: SmCo అయస్కాంతాలు - చైనా నింగ్బో లేకుండా
Solution: | Telugu | 6 | NIv2 | task1618_cc_alligned_classify_tel_eng | fs_opt | [
-0.08244394510984421,
0.8947216272354126,
0.7448027729988098,
-0.07046480476856232,
0.3407498598098755,
-0.8258227109909058,
0.1411098837852478,
0.2557714879512787,
-0.21743124723434448,
0.09807981550693512,
-0.27901679277420044,
-0.13908560574054718,
-1.0787367820739746,
-0.19693167507648... |
Q: You are given a statement written in Tamil. 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: <MASK>, பிரிக்பீல்ட்ஸ் பகுதியில் இருக்கும் துன் சம்பந்தன் சாலையில் இளம் ஆண்கள் கிறிஸ்துவ சங்கம் இருக்கிறது. அழகிய விவேகானந்தா ஆசிரமும் இங்குதான் உள்ளது. இந்த ஆசிரம்மம் 1904ல் கட்டப்பட்டது. சுவாமி விவேகானந்தர் 1893இல் மலாயாவிற்கு வருகை புரிந்தார். அவர் நினைவாக இந்த ஆசிரமம் கட்டப்பட்டது. கோலாலம்பூர் செண்ட்ரல் (மலாய்: KL Sentral) எனும் கோலாலம்பூர் தொடர்வண்டி மையம், டாயாபூமி, பங்சார் சாலை போன்றவற்றை துன் சம்பந்தன் சாலை இணைக்கிறது.
Option A: கோலாலம்பூர்
Option B: உஜ்ஜயினி
Option C: பிரிக்பீல்ட்ஸ்
Option D: ஈப்போ
A: | கோலாலம்பூர் | 7 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | zs_opt | [
0.1753445565700531,
0.7509405612945557,
-0.49977603554725647,
-0.18041548132896423,
-0.26328837871551514,
-0.8592549562454224,
0.13307060301303864,
0.20093247294425964,
0.0021143138874322176,
0.4062647223472595,
-0.19924131035804749,
0.7001328468322754,
-0.2122923880815506,
-0.214581370353... |
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.
Q: Comment: Funny, were you saying the same thing about Obama and his lack of experience eight years ago?? I assume not. Hope and Change my ass.
A: | Sexual-explicit | 4 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-1.0732390880584717,
0.04362054169178009,
0.8597714304924011,
0.21672984957695007,
0.1476368010044098,
-0.09597912430763245,
-0.11263646185398102,
0.3402436375617981,
0.33098548650741577,
0.48538774251937866,
-0.04487578570842743,
-0.24388471245765686,
0.2784602642059326,
-1.06790804862976... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Now I hope all of you feel better.
Output: | الآن أرجو أنكم تشعرون بتحسن. | 1 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
-0.45902782678604126,
0.35009777545928955,
0.149509996175766,
-0.5991400480270386,
0.28048691153526306,
-0.12445369362831116,
0.08647550642490387,
-0.07192531228065491,
0.6071040630340576,
0.5532652735710144,
-0.28009071946144104,
0.20834249258041382,
-0.39523398876190186,
0.14302875101566... |
In this task you are given a premise and two alternatives in Vietnamese. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Example: Các mặt hàng đã được đóng gói trong bọc bong bóng.
(1)Nó dễ vỡ.(2)Nó nhỏ.
Example solution: 1
Example explanation: The first alternative makes more sense because you put object is bubble wrap if they are delicate.
Problem: Người đàn ông mất thăng bằng trên ghế đẩu.
(1)Chiếc ghế đung đưa bên dưới anh ta.(2)Anh đổ sơn lên ghế đẩu.
| Solution: 1 | 5 | NIv2 | task1182_xcopa_commonsense_reasoning_vi | fs_opt | [
-0.5400745868682861,
0.3906380534172058,
0.020019803196191788,
0.11761105060577393,
-0.4867435693740845,
0.04722990468144417,
0.47212401032447815,
1.1368597745895386,
0.17783436179161072,
0.2945786714553833,
-0.37180954217910767,
-0.06878799200057983,
0.31102123856544495,
-0.10330423712730... |
You will be given a definition of a task first, then some input of the task.
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Question: Between a marble and a cannon ball, both travelling at the same speed, the object with the least momentum would be
Option1: the cannon ball
Option2: the marble?
Explanation: The more mass a moving object has or the faster its moving, the greater its momentum.
Output: | the marble? | 1 | NIv2 | task178_quartz_question_answering | zs_opt | [
-0.17685063183307648,
0.8362938165664673,
-0.28989601135253906,
0.05933830887079239,
-0.13133004307746887,
-0.09715653955936432,
0.45558035373687744,
0.6092402935028076,
-0.07810201495885849,
-0.15975913405418396,
-0.2667362689971924,
-0.42191678285598755,
-0.13591301441192627,
-0.15875786... |
Given the task definition and input, reply with output. In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
و تا کسانى را که گفتهاند: خداوند فرزندى گرفته است، هشدار دهد.
| And that it may warn those who say: "God has begotten a son." | 5 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.7877432107925415,
0.9895434379577637,
-0.27737510204315186,
-0.5634090900421143,
-1.1126652956008911,
0.22050514817237854,
0.640949010848999,
0.280296266078949,
0.3532937169075012,
-0.2447631061077118,
-0.9415113925933838,
0.6454333066940308,
-0.6765967011451721,
0.46364080905914307,
... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Let me give you an example: 6, 14, ['9545', '5185', '1667', 'w', 's', '9559', 'T', 'u', 'U', '6843', 'L', 'l', '6365', '7103', 'A', '2381', '5037', 'X', '4487', 'd']
The answer to this example can be: 9559, T, u, U, 6843, L, l, 6365, 7103
Here is why: Here, all the elements between the 6th element and 14th element are '9559', 'T', 'u', 'U', '6843', 'L', 'l', '6365', and '7103'.
OK. solve this:
10, 17, ['7165', 'C', 'A', '4925', '365', 'H', 'J', 'r', 's', '2785', 'r', '6653', 'T', '8985', '699', '1651', '6307', '7067']
Answer: | 2785, r, 6653, T, 8985, 699, 1651, 6307 | 8 | NIv2 | task091_all_elements_from_index_i_to_j | fs_opt | [
0.41437211632728577,
0.31575310230255127,
-0.9409872889518738,
-0.29731881618499756,
-0.36020809412002563,
-0.28483545780181885,
0.5124881863594055,
0.20532405376434326,
-0.7971413731575012,
0.1286330223083496,
-0.5622077584266663,
0.08633260428905487,
-0.0882527232170105,
0.16471922397613... |
Detailed Instructions: In this task you are given a medical question pair hand-generated. Your task is to classify a given post into two categories 1) 'Similar' if the given two questions have a same connotation 2) 'Dissimilar' if the given two questions have a different connotation or meaning.
Problem:Sentence1: When do you apply sunscreen: before or after skin care?
Sentence2: When is the best time to apply sunscreen and how do I use it with other skincare products?
Solution: | Similar | 8 | NIv2 | task1645_medical_question_pair_dataset_text_classification | zs_opt | [
-0.8376470804214478,
0.31904762983322144,
-0.540723979473114,
-0.08910450339317322,
-0.37624412775039673,
-0.49532806873321533,
0.10545526444911957,
0.7939831018447876,
0.3022992014884949,
0.10666288435459137,
-0.2175673544406891,
-0.06751066446304321,
-0.35228705406188965,
-0.266894072294... |
Definition: This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.
Input: Passage: A treaty is an official, express written agreement that states use to legally bind themselves. A treaty is the official document which expresses that agreement in words; and it is also the objective outcome of a ceremonial occasion which acknowledges the parties and their defined relationships. Question: Who is responsible for the legally-bound obligations of the parties to a treaty?
Output: | themselves | 2 | NIv2 | task075_squad1.1_answer_generation | zs_opt | [
-0.07765607535839081,
1.1807794570922852,
0.553017258644104,
-0.607413113117218,
-0.00827968493103981,
-0.06126578152179718,
1.0425574779510498,
-0.18248870968818665,
0.2931751608848572,
-0.0401778519153595,
-0.6235108375549316,
-0.19486120343208313,
-0.7589255571365356,
0.6483215093612671... |
Detailed Instructions: 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)
Problem:Term: 2018 Winter Olympics, Description: 23rd Winter Olympics, Pyeongchang (S. Korea) 2018, Question: Were the 2018 Winter Olympics attended by an enemies of the United States?, Answer:Yes
Solution: | Fact1: Iran is classified by the United States as an enemy. Fact2: Iran competed in the 2018 Winter Olympics. | 8 | NIv2 | task169_strategyqa_sentence_generation | zs_opt | [
-0.0316615030169487,
0.2394786775112152,
-0.443315327167511,
0.26654648780822754,
0.17207878828048706,
-0.7590582370758057,
-0.08791918307542801,
-0.01840844936668873,
0.03986399993300438,
0.35489314794540405,
-0.3230445981025696,
0.5176778435707092,
-0.10532213002443314,
-0.29585233330726... |
Given the task definition and input, reply with output. In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explicit content. Warning: the examples and instances may contain offensive language.
How are pop rock candies similar to my dad? They both explode in my mouth
| Yes | 5 | NIv2 | task608_sbic_sexual_offense_binary_classification | zs_opt | [
-1.28122878074646,
0.7058297395706177,
0.4729563593864441,
0.1928143948316574,
-0.42659974098205566,
0.4296104907989502,
0.10866644978523254,
0.629383385181427,
0.19135546684265137,
-0.08408381044864655,
-0.02826184593141079,
-0.2009465992450714,
-0.6145082712173462,
-0.5323203802108765,
... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
[EX Q]: Sentence: as a rule , the earlier general dental treatment is started , the less expensive and more satisfactory it is {{ likely }} to be .
Word: likely
[EX A]: ADJ
[EX Q]: Sentence: The Attorney General shall assign such officers and employees of the Department of Justice as may be {{ necessary }} to represent the United States as to any claims of the Government of the United States with respect to which the Commission has jurisdiction under this title .
Word: necessary
[EX A]: ADJ
[EX Q]: Sentence: The chevaux de {{ frise }} , those sharp stakes and barriers around the fort at the Battery , pointed to a conflict between the town and sea power rolling in glassy swells as the tide came in .
Word: frise
[EX A]: | X
| 6 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.5913013219833374,
0.29231947660446167,
0.008771986700594425,
-0.025176599621772766,
0.08075244724750519,
-0.7038825750350952,
0.7050457000732422,
0.9398894309997559,
-0.7292598485946655,
-0.04111342877149582,
-0.4770278334617615,
0.06434252858161926,
-0.5090975761413574,
0.50387972593307... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Q: Y si conseguimos ponernos de acuerdo en un precio y en una forma de medir si hemos tenido éxito en reducir la reincidencia criminal, entonces podemos hacer algo que nos parece bastante interesante.
A: | ואם נוכל להסכים גם על ערך וגם על שיטה למדוד אם הצלחנו להפחית את הפשיעה החוזרת, נוכל לעשות משהו די מעניין, לדעתנו. | 9 | NIv2 | task1229_ted_translation_es_he | zs_opt | [
-1.108441948890686,
0.4978538155555725,
0.1135791689157486,
-0.4266684651374817,
-0.34896528720855713,
-0.20667687058448792,
0.5666568279266357,
0.47217246890068054,
0.526846170425415,
0.5298421382904053,
-0.7919201850891113,
0.3201723098754883,
-0.7526551485061646,
0.2549377679824829,
0... |
Detailed Instructions: A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: ناگپور سکندرآباد سیکشن کی ترقی کے لئے پروجیکٹ کا نفاذ، اس میں مسافرٹرینوں کی رفتار 200کلومیٹر فی گھنٹہ تک کرنے کے علاوہ اس سیکشن کی ممکنہ توسیع شامل ہے، جس کے تحت اس کو انڈین ریلوے(آئی آر)نیٹ ورک کے دیگر سمتوں سے جوڑنا ہے۔
A: | ए. यात्री गाड़ियों की गति 200 किलोमीटर प्रतिघंटे (सेमी हाई स्पीड) बढाने के लिए नागपुर-सिकंदराबाद सेक्शन के उन्नयन के लिए परियोजना को लागू करना। इसमें भारतीय रेल नेटवर्क के अन्य निर्देशों सहित सेक्शन का संभावित विस्तार शामिल है। | 9 | NIv2 | task1054_pib_translation_urdu_hindi | zs_opt | [
-0.9665076732635498,
0.8375534415245056,
0.1496262550354004,
0.06767329573631287,
-0.533100962638855,
-0.5023298263549805,
0.4375113546848297,
-0.18656904995441437,
-0.13042230904102325,
0.14834189414978027,
-0.2361242175102234,
-0.16444240510463715,
0.14126847684383392,
-0.123516857624053... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Let me give you an example: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט. "" היא אמרה, "" יש בו צבעים. יש בו תנועה.
The answer to this example can be: Pregunteille: "" É coma un soño? "" E dixo: "" Non, non é coma un soño. É coma unha película. Ten cor. Ten movemento.
Here is why: The Hebrew sentence is correctly translated into Galician, because the meaning is preserved.
OK. solve this:
מה שאנו עושים זה להאיץ פרוטונים - או, גרעיני אטומי מימן - בערך 99.999999 אחוז ממהירות האור.
Answer: | O que facemos é acelerar protóns — é dicir, núcleos de hidróxeno — a aproximadamente o 99.999999 por cento da velocidade da luz. | 8 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.7090451121330261,
1.005124568939209,
0.4735621511936188,
-0.8610376119613647,
-0.543339729309082,
-0.4743081331253052,
0.5214699506759644,
0.5910319089889526,
-0.5460523962974548,
-0.45769837498664856,
-0.318818062543869,
0.006655938923358917,
-1.1409783363342285,
-0.27931758761405945,
... |
You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must not be associated with any specific word in the question; instead it should depend on the context present in the question. The expected answer should not be equally likely to fill the blank. For your question, there should be a agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use animals or proper nouns (e.g., New York, Macbook, Jeff Bezos, McDonald's, ...) as your objects. Avoid repeating the same style, pattern or phrases in each question, try to increase diversity by varying sentence structure, blank placement etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Object X and Y have the same number e.g. when ObjectX is singular, Object Y must be singular, too. The two objects (Object X & Object Y) should be used ONCE in your question. Here is a list of attributes and associated pair of contrastive words which may be used to create a valid question using the objects. You can use either of the contrastive words, but not both. You should think about more such attributes and associated words and use them in your question.
| Attribute | triggerword | contrastive triggerword |
| age | old | new |
| altitude | low | high |
| area | small | vast |
| brightness | dark | light |
| clarity | obscure | clear |
| cleanness | dirty | clean |
| complexity | simple | complex |
| cost | cheap | expensive |
| density | sparse | dense |
| depth | shallow | deep |
| distance | near | far |
| electric conductivity | low | high |
| flexibility | rigid | flexible |
| granularity | fine | coarse |
| hardness | soft | hard |
| length | short | long |
| magnitude | small | large |
| mass | small | large |
| odor | weak | strong |
| pressure | low | high |
| resistance | low | high |
| shape | round | sharp |
| shape | flat | spiky |
| size | small | large |
| sound | quiet | loud |
| sound pitch | low | high |
| speed | slow | fast |
| stability | unstable | stable |
| strength | weak | strong |
| temperature | low | high |
| texture | smooth | rough |
| thermal conductivity | low | high |
| thickness | thin | thick |
| volume | small | large |
| weight | light | heavy |
| width | narrow | wide |
| location | in | out |
| location | up | down |
| location | above | below |
| location | on | off |
| location | to | from |
Input: Consider Input: Context Word: Uphill.
Output: The dog ran uphill to chase the cat, but the cat was able to escape because the _ was too slow.
Input: Consider Input: Context Word: humidifier.
Output: The man placed the humidifier in the bedroom instead of the kitchen because the _ air was dry.
Input: Consider Input: Context Word: carbs.
| Output: We had to have more carbs in the meal instead of fats, because the _ were disgusting.
| 2 | NIv2 | task031_winogrande_question_generation_object | fs_opt | [
0.8034210801124573,
0.5994051694869995,
0.07108117640018463,
0.28195643424987793,
0.5732746124267578,
-0.7325081825256348,
0.585858941078186,
1.1219077110290527,
-0.39759019017219543,
-0.6150960922241211,
-0.36409997940063477,
0.28837233781814575,
-0.3428184688091278,
-0.04118318110704422,... |
In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, like: [1,2,3].
Let me give you an example: [-4, 7, 3]
The answer to this example can be: [1.5, 5]
Here is why: To create the answer, we should first calculate the average of -4 and 7, that is: (-4 + 7 ) / 2 = 1.5, so the first element of the answer is 1.5. Then, we need to calculate the average of 7 and 3, that is: 5. So the second element of the answer is 5.
OK. solve this:
[59, -94, 96, -92, -17, -21, 50, 87]
Answer: | [-17.5, 1.0, 2.0, -54.5, -19.0, 14.5, 68.5] | 8 | NIv2 | task124_conala_pair_averages | fs_opt | [
-0.37113285064697266,
0.5533271431922913,
-0.42809122800827026,
-0.23107098042964935,
0.4488679766654968,
0.3807048201560974,
0.9135587215423584,
0.744458019733429,
0.23640704154968262,
-0.3281819224357605,
-0.6231065988540649,
-0.4727213680744171,
-0.002863620175048709,
0.5227463245391846... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Sentence1: The child was very shy. Sentence2: He acted like he didn't want to talk to us. Sentence3: I beckoned him over with my hand. Sentence4: He came over and said hello. Sentence5: I was so impulsive, I just gave him a hug.
Output: | I (myself), The child | 1 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
-0.050516463816165924,
0.5059345364570618,
0.17358066141605377,
-0.3961797058582306,
-0.0444910041987896,
-0.2696150541305542,
0.6501036286354065,
0.4724242687225342,
0.2442341446876526,
0.047199610620737076,
-0.6737122535705566,
-0.34283167123794556,
-0.1854080706834793,
0.105887867510318... |
Definition: In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
Input: "I don't have lobbyists running my campaign."
Output: | ethics | 2 | NIv2 | task613_politifact_text_generation | zs_opt | [
-0.21060805022716522,
0.25791260600090027,
-0.30630481243133545,
-0.15069541335105896,
-0.697636604309082,
-0.16909094154834747,
0.5658314228057861,
-0.26489654183387756,
0.4680476188659668,
-0.4851362407207489,
-0.1756783425807953,
0.25234341621398926,
-0.18011780083179474,
-0.00559745356... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
PersonX sees ___ in the wild
Solution: tiger
Why? This is a good example. The output is a correct answer for this question.
New input: PersonX throws ___ in PersonX's face
Solution: | dirt | 0 | NIv2 | task1217_atomic_answer_generation | fs_opt | [
-0.5897964239120483,
1.0331792831420898,
-0.0897105485200882,
-0.42581987380981445,
-0.13405129313468933,
0.0030725791584700346,
1.0473483800888062,
0.7353005409240723,
0.179060161113739,
-0.7987974286079407,
-0.12993136048316956,
-0.9805872440338135,
-0.28380781412124634,
0.17614918947219... |
In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
Q: [97, 36, -44, -94, 42, -38, 83, 81, 12, -84, 97, -93]
A: | [61, 80, 50, 136, 80, 121, 2, 69, 96, 181, 190] | 4 | NIv2 | task125_conala_pair_differences | zs_opt | [
-1.0309319496154785,
0.4339345097541809,
-0.1464541256427765,
-0.8294172286987305,
-0.5913015604019165,
0.0513199120759964,
0.9389840364456177,
0.07404741644859314,
0.3427984416484833,
-0.2835887372493744,
-0.0002706250816117972,
-0.5466909408569336,
0.21863654255867004,
0.3724101185798645... |
You will be given a piece of text either about an everyday event, or a general statement. If the event seems a plausible event to you, or the general statement makes sense matches your commonsense, output 'True', otherwise output 'False'.
Let me give you an example: The glass fell of a three-story building, so it broke into pieces.
The answer to this example can be: True
Here is why: Falling down from a considerable height causes glasses to break, so this is a true sentence.
OK. solve this:
Shivani needs to reach her office in 10 minutes, so she takes a bus which can drop her at office in 15 minutes.
Answer: | False | 8 | NIv2 | task116_com2sense_commonsense_reasoning | fs_opt | [
-0.9151178002357483,
0.4753100574016571,
-0.21953901648521423,
0.03126530721783638,
-0.1607818305492401,
-0.7584479451179504,
0.5603370666503906,
0.46595728397369385,
0.41663211584091187,
-0.1659020483493805,
-0.4362581670284271,
0.26044222712516785,
-0.1370534896850586,
0.2184409052133560... |
You will be given a definition of a task first, then some input of the task.
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.
দেশের যে সমস্ত জেলার উন্নয়নের প্রয়োজন বা চাহিদা রয়েছে, সেগুলির সার্বিক রূপান্তরের লক্ষ্যে এক বিশেষ উদ্যোগ গ্রহণ করেছে প্রধানমন্ত্রী শ্রী নরেন্দ্র মোদীর নেতৃত্বাধীন কেন্দ্রীয় সরকার।
Output: | ਪ੍ਰਧਾਨ ਮੰਤਰੀ, ਇਛੁੱਕ ਜ਼ਿਲ੍ਹਿਆਂ ਦੇ ਕਾਇਆ ਕਲਪ `ਤੇ ਕਾਨਫਰੰਸ ਨੂੰ ਸੰਬੋਧਨ ਕਰਨਗੇ | 1 | NIv2 | task1025_pib_translation_bengali_punjabi | zs_opt | [
-0.2975374460220337,
0.750366747379303,
0.19400371611118317,
-0.4325318932533264,
-0.14301234483718872,
-0.17145636677742004,
0.7831055521965027,
0.05473002791404724,
-0.22547011077404022,
0.3089873194694519,
-0.9303178787231445,
-0.3013305366039276,
-0.3207777738571167,
0.4364400506019592... |
Detailed Instructions: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Q: and he scorched through the dark streets so as to get home to his books at the least possible expense of time.
A: | چنان بود که گویی از ژرفترین احساسات دلش میگسلد و از خیابانهای تاریک بهشتاب میرفت تا هر چه زودتر به خانه برسد و با از دست دادن کمترین وقت ممکن کارش را آغاز کند. | 9 | NIv2 | task661_mizan_en_fa_translation | zs_opt | [
0.3181600570678711,
0.9473789930343628,
0.22644175589084625,
-0.24887359142303467,
-0.016845203936100006,
0.2433902621269226,
1.0960063934326172,
0.145583376288414,
-0.32443511486053467,
0.5416922569274902,
-0.11671948432922363,
0.9396128058433533,
-0.9357783198356628,
-0.21708261966705322... |
Instructions: In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
Input: Kule meko kungabaluleka ukwahlukanisa amanzi etyiwa.
Output: | In this case it would be necessary to de-isolate the salt water main. | 3 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | zs_opt | [
0.39088717103004456,
0.8482152819633484,
0.08143441379070282,
-0.4293317198753357,
-0.18789654970169067,
-0.8684858679771423,
0.21476733684539795,
0.33252668380737305,
0.5178254246711731,
-0.1159440204501152,
0.20812878012657166,
-0.5438050031661987,
-1.0201700925827026,
-0.028941381722688... |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
[Q]: Love this pet feeder! It has automatic feedings so I don’t have to worry about feeding my dog anymore. The camera and microphone quality are very good! I love the fact that I can check up on her when I’m not home.
[A]: positive
[Q]: I gave it 1 star for the simple fact I never used it.Lol.I can say its very well built and solid.I bought it for my android tablet-keyboard.I didnt see it on the description but it is for Windows only.Will not work on Android.Amazon made good on everything thou.As always top notch service.
[A]: negative
[Q]: I didn't know where to start when I got my Cricut, so this was the perfect package. You can't go wrong with Siser, too. So easy to work with and fantastic color choices.
[A]: | positive
| 5 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
-0.7604641318321228,
-0.6576992869377136,
-0.2683688998222351,
-0.43161439895629883,
0.2803751826286316,
-0.4803713858127594,
0.5630342960357666,
0.8036612272262573,
0.42818862199783325,
0.695722222328186,
0.10298289358615875,
-0.26791223883628845,
-0.44847702980041504,
-0.7164996862411499... |
A text is given in Panjabi. Translate it from the Panjabi language to the Urdu language. The translation must not omit or add information to the original sentence.
Example: ਇਹ ਉਹ ਸੱਚ ਹੈ ਜੋ ਬੰਗਾਲ ਦੇ ਲੋਕਾਂ ਨੂੰ ਚਿੰਤਨ ਮਨਨ ਦੇ ਉਸ ਪੱਧਰ 'ਤੇ ਲੈ ਜਾਂਦਾ ਹੈ ਜਿੱਥੇ ਪਹੁੰਚਣਾ ਮੁਸ਼ਕਿਲ ਹੁੰਦਾ ਹੈ। ਇਹ ਉਹ ਸੱਚ ਹੈ ਜਿਸ ਕਾਰਨ ਬੰਗਾਲ ਨੇ ਸਦੀਆਂ ਤੱਕ ਦੇਸ਼ ਦੀ ਧੁਰੀ ਬਣਕੇ ਦੇਸ਼ ਨੂੰ ਜੋੜ ਕੇ ਰੱਖਿਆ ਹੈ।
Example solution: یہ سچ ہے کہ بنگال کے لوگوں کی طرف جاتا ہے، جہاں تک پہنچنے میں مشکل ہے.یہ سچ ہے کہ بنگال نے ملک کو صدیوں سے ملک بننے سے ملک قائم کیا ہے.
Example explanation: Correct translation for given sentence. Input sentence means 'That is true that leads to the people of the Bengal, where it is difficult to reach.This is true that Bengal has set the country by becoming a country from the centuries.' which is the same as the output sentence.
Problem: ਐੱਨਆਈਸੀ ਦੇ ਟੈਲੀਫੋਨ ਨੰਬਰ ਜਿਸ ਨਾਲ ਆਈਵੀਆਰਐੱਸ ਦਾ ਉਪਯੋਗ ਕਰਦੇ ਹੋਏ ਨਤੀਜੇ ਪੁੱਛੇ ਜਾ ਸਕਦੇ ਹਨ।
| Solution: این آئی سی کا ٹیلی فون نمبر جس کی مدد سے نتائج تک آئی وی آر ایس کے ذریعے پہنچا جا سکتا ہے، حسب ذیل ہے: | 5 | NIv2 | task1051_pib_translation_punjabi_urdu | fs_opt | [
-0.07491207122802734,
0.8405137062072754,
-0.15512479841709137,
-0.9725871086120605,
-0.29985499382019043,
-0.8142868280410767,
1.4950026273727417,
0.151558980345726,
-0.49968016147613525,
0.13300871849060059,
-1.4574449062347412,
-0.01095794327557087,
-0.34871548414230347,
0.5117134451866... |
Definition: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine 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 : '$': Dollar Sign, "''": Single Quotes, ',': Comma Symbol, '-LRB-': Left Parantheses, '-RRB-': Right Parantheses, '.': Period, ':': Colon, 'ADD': Email Address, 'AFX': Affix, 'CC': Coordinating conjunction, 'CD': Cardinal Number, 'DT': Determiner, 'EX': Existential there, 'FW': Foreign Word, 'GW': Go with, 'HYPH': Hyphen symbol, 'IN': Preposition or a subordinating conjunction, 'JJ': Adjective, 'JJR': A comparative Adjective, 'JJS': A Superlative Adjective, 'LS': List item Marker, 'MD': Modal, 'NFP': Superfluous punctuation, 'NN': Singular Noun, 'NNP': Singular Proper Noun, 'NNPS': Prural Proper Noun, 'NNS': Prural Noun, 'PDT': Pre-determiner, 'POS': Possessive Ending, 'PRP': Personal pronoun, 'PRP$': Possessive Pronoun, 'RB': Adverb, 'RBR': Comparative Adverb, 'RBS': Superlative Adverb, 'RP': Particle, 'SYM': Symbol, 'TO': To , 'UH': Interjection, 'VB': Base form Verb, 'VBD': Verb in Past tense, 'VBG': Verb in present participle, 'VBN': Verb in past participle, 'VBP': Verb in non-3rd person singular present, 'VBZ': Verb in 3rd person singular present, 'WDT': Wh-determiner, 'WP': Wh-pronoun, 'WP$' Possessive Wh-pronoun, 'WRB': Wh-adverb, 'XX': Unknown, '``': Double backticks.
Input: Sentence: Full name of the father is {{ : }} " Nguyen Thanh Luan " ===> Full name of the son / daughter certainly is " Nguyen .......... " , for instance , " Nguyen Thi Thuy Lan " .
Word: :
Output: | : | 2 | NIv2 | task584_udeps_eng_fine_pos_tagging | zs_opt | [
0.16543763875961304,
0.2406352013349533,
-0.22238069772720337,
0.12396149337291718,
-0.10815269500017166,
-0.37929195165634155,
0.7995049953460693,
1.0821056365966797,
-0.38630765676498413,
-0.19901973009109497,
-0.25128376483917236,
0.45249614119529724,
-0.32644200325012207,
0.08440546691... |
Detailed Instructions: 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. It makes you much less likely to believe the hypothesis is true. A strengthener is a statement that strengthens the hypothesis. It makes you much more likely to believe the hypothesis is true. Your task is to output 'strengthener' or 'weakener' if the update strengths or weakens the hypothesis, respectively.
Problem:Premise: PersonX finds the song
Hypothesis: Before, PersonX needed look in the closet
Update: The song was in a coat pocket.
Solution: | strengthener | 8 | NIv2 | task935_defeasible_nli_atomic_classification | zs_opt | [
0.10479429364204407,
0.524940550327301,
-0.6569446325302124,
0.4396502375602722,
-0.050328515470027924,
-0.919044554233551,
1.3356770277023315,
0.9168603420257568,
0.44595491886138916,
-0.5018759965896606,
-1.1263936758041382,
-0.5278215408325195,
-0.7313652038574219,
-0.005014164373278618... |
Detailed Instructions: In this task, you are given books product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Problem:decouverte d'un trés bon auteur . Livre original, drôle, sympathique et intelligent. Très belle écriture. Ambiance qui rappelle celle de Pennac avec des personnages et des situations en décalage. Son livre suivant "le cosmonaute" est tout aussi réussi.
Solution: | POS | 8 | NIv2 | task482_cls_french_books_classification | zs_opt | [
-0.6921444535255432,
0.28854620456695557,
0.2994281053543091,
-0.5942896604537964,
0.6448608636856079,
-0.3293123245239258,
1.2086536884307861,
-0.8043078780174255,
0.8184885382652283,
0.5958077907562256,
-1.1103928089141846,
-0.2925698757171631,
-0.19018198549747467,
-0.4172697067260742,
... |
Part 1. Definition
In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
Part 2. Example
And the sun runs his course for a period determined for him: that is the decree of (Him), the Exalted in Might, the All-Knowing.
Answer: و خورشید [نیز برای آنان نشانهای از قدرت ماست] که همواره به سوی قرارگاهش حرکت میکند. این اندازه گیری توانای شکست ناپذیر و داناست،
Explanation: This is a good example. The above sentence is correctly translated from English to Persian.
Part 3. Exercise
He will admit to His Mercy whom He will; But the wrong-doers,- for them has He prepared a grievous Penalty.
Answer: | هر کس را بخواهد در رحمتش درآورد و برای ستمکاران عذابی دردناک آماده کرده است. | 7 | NIv2 | task656_quran_en_fa_translation | fs_opt | [
-0.6917712688446045,
1.152766227722168,
-0.07065896689891815,
-0.4638671278953552,
-0.5693250298500061,
-0.9283340573310852,
0.7930408716201782,
0.3676931858062744,
0.20297282934188843,
0.2744351029396057,
-0.4448815584182739,
0.7786250114440918,
-0.4412008225917816,
-0.1932825744152069,
... |
TASK DEFINITION: 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.
PROBLEM: Question: Which aircraft had a longer operational lifespan in the Royal Canadian Air Force between the McDonnell CF-101 Voodoo and the Avro CF-100 Canuck? Passage:The McDonnell CF-101 Voodoo was an all-weather interceptor aircraft operated by the Royal Canadian Air Force and the Canadian Forces between 1961 and 1984. They were manufactured by the McDonnell Aircraft Corporation of St. Louis, Missouri for the United States Air Force (as F-101s), and later sold to Canada. CF-101s replaced the obsolete Avro CF-100 Canuck in the RCAF's all-weather fighter squadrons. The Voodoo's primary armament was nuclear AIR-2A Genie unguided air-to-air rockets, and there was significant political controversy in Canada about their adoption. Although they never fired a weapon in wartime, the CF-101 served as Canada's primary means of air defence from Quick Reaction Alert facilities at Canadian airbases. The CF-101s were retired in the 1980s and replaced with McDonnell Douglas CF-18 Hornet fighters. Many examples are preserved in museums and parks in Canada and the United States.
Links: a. Avro Canada CF-100 Canuck b. Interceptor aircraft c. Interceptor aircraft d. Royal Canadian Air Force
SOLUTION: a
PROBLEM: Question: What year did Cash record "Big Iron"? Passage:Robbins has been honored by many bands, including the Grateful Dead who covered "El Paso" and Bob Weir & Kingfish who covered "Big Iron". The Who's 2006 album Endless Wire includes the song "God Speaks of Marty Robbins". The song's composer, Pete Townshend, explained that the song is about God deciding to create the universe just so he can hear some music, "and most of all, one of his best creations, Marty Robbins." The Beasts of Bourbon released a song called "The Day Marty Robbins Died" on their 1984 debut album The Axeman's Jazz. Both Frankie Laine and Elvis Presley, among others, recorded versions of Robbins' song "You Gave Me a Mountain", with Laine's recording reaching the pop and adult contemporary charts in 1969. Though Elvis never recorded any of Robbins' songs in the studio, he was a big fan and recorded "You Gave Me a Mountain" live in concert several times; it appeared on 15 Presley albums. Johnny Cash recorded a version of "Big Iron" as part of his American Recordings series, which is included in the Cash Unearthed box set. Cash also recorded other songs by Robbins, including "I Couldn't Keep From Crying", "Kate" and "Song Of The Patriot". He held Robbins in high esteem, having him guest several times on his network TV show. "Big Iron" was also covered by Mike Ness on his album Under the Influences, on which he paid homage to country music artists. The song, originally released on Robbins' 1959 album Gunfighter Ballads and Trail Songs, gained renewed popularity following its use in the video game .
Links: a. Johnny Cash b. Under the Influences c. Beasts of Bourbon d. Gunfighter Ballads and Trail Songs
SOLUTION: a
PROBLEM: Question: Did the founding drummer of Kajagoogoo join any other bands after leaving Kajagoogoo? Passage:Islands is the second album by the British pop band Kajagoogoo, released on 21 May 1984 on the EMI label. This was the band's first album without lead vocalist Limahl, who had been fired by the band in mid-1983 and went on to pursue a solo career. Bass player Nick Beggs, already the group's main backing singer, took over lead vocal duties, and also wrote the lyrics. The album was co-produced by the band themselves, now a four-piece group, along with Colin Thurston, who had also produced their debut, White Feathers. It is the final album to-date to feature founding drummer Jez Strode. The album also marked the first time Nick Beggs used the Chapman Stick on a recording.
Links: a. Jez Strode b. Lyrics c. Bassist d. Nick Beggs
SOLUTION: | a
| 8 | NIv2 | task231_iirc_link_classification | fs_opt | [
1.0672297477722168,
0.36219701170921326,
-1.0275144577026367,
-0.07291620969772339,
0.40492287278175354,
-0.5473862886428833,
1.2833696603775024,
0.8269144296646118,
-0.214084193110466,
0.4212339520454407,
-0.4966866970062256,
-0.25549739599227905,
-0.38328269124031067,
-0.0024054432287812... |
In this task, you must modify the text given in the input to generate a paraphrased sentence. Your output sentence must retain the same meaning, but does not necessarily have to include all the details as the input text.
Example input: sentence_B_original: A man is eating a bowl of cereal.
Example output: The man is eating cereal
Example explanation: Meaning of the output sentence is not changed, another sentence is derived from the original so this is correct.
Q: sentence_B_original: a animated airplane is landing
A: | An animated airplane is landing | 3 | NIv2 | task1614_sick_text_modify | fs_opt | [
-0.33485761284828186,
0.8885860443115234,
0.19127725064754486,
-0.8169159293174744,
-0.4564184248447418,
-0.20417451858520508,
0.8966469168663025,
0.8023326396942139,
-0.574779748916626,
-0.35336223244667053,
-0.24583716690540314,
-0.22012805938720703,
-0.3485987186431885,
0.13335573673248... |
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Input: אבל מה שיידרש הוא מחויבות מכולנו, בכדי לסרב למעשה להנחות נדושות, ולצאת מהקופסאות האידיאולוגיות שלנו.
Output: | But what it takes is a commitment from all of us to essentially refuse trite assumptions, get out of our ideological boxes. | 3 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.28868451714515686,
0.30221542716026306,
0.5578657984733582,
-0.061658695340156555,
-0.6085024476051331,
-0.7771542072296143,
0.31116628646850586,
-0.31127628684043884,
0.5504394769668579,
-0.2878819406032562,
-0.5701684355735779,
-0.26316750049591064,
-0.5902220010757446,
0.153855741024... |
In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a proper noun phrase. The capital 'I' denotes all following words of the same noun phrase. If a word is not a part of a proper noun phrase, do not label it.
[Q]: BASEBALL - BRAVES RALLY TO BEAT CUBS .
[A]: BASEBALL - BRAVES <B-ORG> RALLY TO BEAT CUBS <B-ORG> .
[Q]: Maruyama ( Japan )
[A]: Maruyama <B-PER> ( Japan <B-LOC> )
[Q]: The precise reason for the call was not immediately clear .
[A]: | The precise reason for the call was not immediately clear .
| 5 | NIv2 | task610_conllpp_ner | fs_opt | [
-0.4523434638977051,
0.46449795365333557,
-0.06914131343364716,
0.0793491005897522,
-0.22927474975585938,
0.4020453989505768,
0.6450507640838623,
0.15645617246627808,
-0.08399203419685364,
-0.5034558773040771,
-0.588775098323822,
0.06067652255296707,
-0.3971326947212219,
-0.030683271586894... |
Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Input: Iso supón arredor de 1.450 millóns de dólares só en gasto de tradución.
Output: | E 'l'equivalente di quasi 1,45 miliardi di dollari statunitensi solo di costi di traduzione. | 2 | NIv2 | task1243_ted_translation_gl_it | zs_opt | [
0.007461973000317812,
0.35736170411109924,
-0.3084549307823181,
-0.04355282336473465,
0.36575716733932495,
-0.14228162169456482,
-0.11480091512203217,
0.9123270511627197,
0.06101151555776596,
-0.8509231805801392,
-0.5355092883110046,
0.17122822999954224,
0.15948283672332764,
0.288781434297... |
Detailed Instructions: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Problem:Category: FOOD
Clue: Last name of opera singer Luisa, who had a turkey dish named for her
Solution: | tetrazzini | 8 | NIv2 | task306_jeopardy_answer_generation_double | zs_opt | [
-0.3014684319496155,
1.038865566253662,
-0.6062005758285522,
-0.2655763030052185,
-0.16320130228996277,
0.8536490201950073,
0.7998097538948059,
0.11477380990982056,
0.20442673563957214,
-0.11564598977565765,
0.3812830150127411,
-0.25553470849990845,
-0.5572779178619385,
0.1294565051794052,... |
In this task, given a sentence in English Tokens, your task is to convert it into the English language
Q: Some observers concluded that such fraud might have affected the outcome in one of the contests for parliament , and several of those for the provincial assemblies .
A: | Some observers concluded that such fraud might have affected the outcome in one of the contests for parliament, and several of those for the provincial assemblies. | 4 | NIv2 | task547_alt_translation_entk_en | zs_opt | [
0.07382865250110626,
1.2047770023345947,
0.7117294073104858,
-0.7320742607116699,
0.048798818141222,
-0.45496630668640137,
0.03919108211994171,
0.6995974779129028,
-0.11267700791358948,
-0.3913227319717407,
-0.11821544915437698,
0.8908907175064087,
-0.6258013844490051,
0.012997080571949482... |
You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypothesis. Your task is to return 'entails' if the premise supports hypothesis else return 'neutral'.
Premise: The council agreed last week to try this for a 30-day trial period.
Hypothesis: The fetal period lasts approximately 30 weeks weeks. | neutral | 0 | NIv2 | task1529_scitail1.1_classification | zs_opt | [
-0.5450067520141602,
0.8127288818359375,
0.4037468433380127,
-0.014276795089244843,
-0.34004533290863037,
-0.5134638547897339,
0.5439989566802979,
0.6700413227081299,
0.36637574434280396,
-0.35043832659721375,
-0.8970037698745728,
0.685554563999176,
-0.5495226979255676,
0.3201127052307129,... |
Given the task definition and input, reply with output. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX 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 can n't find a job<sep>Tail: to be hired
| Yes | 5 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.022075921297073364,
0.6504441499710083,
0.5197910070419312,
-0.15605854988098145,
-0.39701488614082336,
-0.42978906631469727,
1.0936095714569092,
0.3664996922016144,
-0.5221447944641113,
-0.48969122767448425,
-0.3409639000892639,
-0.5174344778060913,
-0.6281239986419678,
0.20702224969863... |
Detailed Instructions: Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) original network, 15) parent company, 16) point in time, 17) production company, 18) residence, 19) series, 20) service entry, 21) sex or gender, 22) spouse, 23) standards body question.
Q: Context : Transdev Auckland, formerly Veolia Transport Auckland, Ltd., and before that Connex Auckland, Ltd., is a Transdev Australasia company.
Question : Which company is the parent company of Transdev Auckland?
A: | parent company | 9 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
-0.11546236276626587,
-0.01905057765543461,
0.07635340094566345,
-0.9347560405731201,
0.15445896983146667,
-0.007506906054913998,
0.20688655972480774,
-0.10630814731121063,
0.155746728181839,
0.11125561594963074,
-0.19679448008537292,
0.11191128194332123,
-0.40823495388031006,
0.4517155289... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
A bathroom with a book case in it with stacks of books in front of the toilet.
Output: | શૌચાલયની સામે પુસ્તકોના સ્ટેક્સ સાથે પુસ્તક કેસમાં બાથરૂમ. | 1 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | zs_opt | [
0.19948212802410126,
0.7279703617095947,
-0.35689806938171387,
-0.36320632696151733,
0.7503399848937988,
-0.02256741002202034,
-0.09852512180805206,
-0.3915182054042816,
0.13594458997249603,
-0.3944978713989258,
-0.024065155535936356,
0.10897800326347351,
-0.7253469228744507,
-0.1485513299... |
instruction:
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
question:
E, no que diz respeito a outras coisas que fazemos, pensem nos gémeos.
answer:
וכשאתם חושבים על דברים אחרים שעשינו. חשבו על תאומים.
question:
Mas vou continuar com o que tenho porque, ao contrário do que normalmente pressupomos, imitar alguém pode revelar algo único.
answer:
אבל אני מתכוון לדבוק בזה, כי בניגוד למה שאנו בדרך-כלל חושבים, חיקוי של מישהו עשוי לחשוף משהו מיוחד.
question:
O que veem é uma construção mental complexa que vocês mesmos criam, mas que vivenciam passivamente como uma representação direta do mundo em redor.
answer:
| מה שאתם רואים הוא למעשה המצאה מנטלית שיצרתם שנחווית באופן פאסיבי כייצוג מיידי של העולם סביבכם.
| 9 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
-0.9947507381439209,
0.7315810918807983,
0.23015418648719788,
0.5053498148918152,
-0.2846006155014038,
0.4444875121116638,
0.5441747903823853,
0.25060272216796875,
0.3112557530403137,
-0.5478019118309021,
-1.070434331893921,
0.4659246802330017,
-1.160376787185669,
0.37850895524024963,
0.... |
Detailed Instructions: The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Problem:The conversation with Justin was threatening.
Solution: | fear | 8 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | zs_opt | [
-0.33744436502456665,
0.18817615509033203,
0.3301711678504944,
-0.661884605884552,
-0.2752875089645386,
-0.17350804805755615,
0.7696279287338257,
0.5685960054397583,
0.14251911640167236,
-0.05529092997312546,
-0.4426769018173218,
-0.3184475302696228,
-0.5440279245376587,
-0.128586560487747... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
[Q]: Podríamos incluso imaginar una versión de este escenario en la cual la gente construyera sus propios teléfonos.
[A]: Potremmo addirittura immaginare una versione di questo scenario dove la gente si costruisce il proprio telefono.
[Q]: Además, es multiespectral.
[A]: Inoltre, é a multi-spettro.
[Q]: Y significa que conocemos la combinación correcta de calor y frío, y los ciclos necesarios para hacer germinar las semillas.
[A]: | Il che significa che conosciamo la giusta combinazione di caldo e freddo e i cicli di cui si ha bisogno per far germogliare i semi.
| 5 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.5785073041915894,
0.7730637788772583,
-0.30933067202568054,
-0.1063237413764,
-0.06813584268093109,
-0.6021384000778198,
0.38402050733566284,
0.977409303188324,
0.0659078061580658,
-0.34568482637405396,
-0.5342081189155579,
0.8342280983924866,
-0.22333809733390808,
0.530691385269165,
... |
Detailed Instructions: Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Problem:The man does a flip from a handstands. We
Solution: | moves past the buckbeak's center with the ball! | 8 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
0.18423767387866974,
1.2290194034576416,
0.12227009236812592,
-0.6986497640609741,
-0.35740238428115845,
0.20528587698936462,
0.29700422286987305,
0.3756532073020935,
0.25261056423187256,
0.17723435163497925,
-1.0395599603652954,
0.07209920138120651,
-1.014297604560852,
0.12761598825454712... |
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?). ",
[Q]: Sentence: Previous studies by the authors have proposed some simple indicators for quantifying the environmental attributes.
Section: background
[A]: True
[Q]: Sentence: only 1/39 ( 2.5 % ) mPCR tests were positive for influenza and 19/39 ( 48.7 % ) for other viruses.
Section: purpose
[A]: False
[Q]: Sentence: and gel filtration by fast protein liquid chromatography on Superdex 75.
Section: background
[A]: | True
| 5 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
-0.8908072113990784,
0.6911090612411499,
-0.24783755838871002,
-0.4347637891769409,
-0.25446873903274536,
-0.19832812249660492,
0.5188895463943481,
0.7745639085769653,
0.2545475363731384,
-0.30546775460243225,
-0.998995840549469,
0.12183412164449692,
-0.02133055590093136,
0.310805529356002... |
A text is given in English. Translate it from the English language to the Oriya language. The translation must not omit or add information to the original sentence.
Let me give you an example: Remembering revered Bapu, we should move out of home collecting single-use plastic from homes, streets, chowks, and drains
The answer to this example can be: ସମ୍ମାନର ପକ୍ଷୀକୁ ମନେ ପକାଇବା, ଆମେ ଘରୁ ଗୋଟିଏ ଘର, ରାସ୍ତାରେ ଏକକ-ବ୍ୟବହାର ପ୍ଲାଷ୍ଟିକ ସଂଗ୍ରହ କରି ଘର ବାହାରେ ବୁଲିବା ଉଚିତ୍ |
Here is why: Correct translation for given sentence. Input sentence means 'Remembering revered Bapu, we should move out of home collecting single-use plastic from homes, streets, chowks, and drains' which is the same as the output sentence.
OK. solve this:
In January 2016, the Prime Minister, and the then French President Francois Hollande travelled from Delhi to Gurgaon, to jointly lay the foundation stone of the Headquarters of the International Solar Alliance. More recently, in April 2017, the Prime Minister, and the Australian Prime Minister Malcolm Turnbull travelled by metro to the Akshardham Temple.
Answer: | 2017ରେ ଏହା ତୃତୀୟ ମେଟ୍ରୋ ଲାଇନ ଯାହାର ଉଦ୍ଘାଟନ ପ୍ରଧାନମନ୍ତ୍ରୀ କରିବେ । ଏଥିପୂର୍ବରୁ ସେ କୋଚି ମେଟ୍ରୋ ଏବଂ ନଭେମ୍ବରରେ ହାଇଦ୍ରାବାଦ ମେଟ୍ରୋକୁ ରାଷ୍ଟ୍ର ଉଦ୍ଦେଶ୍ୟରେ ସମର୍ପିତ କରିଥିଲେ । ଏହି ଦୁଇ ପ୍ରକଳ୍ପର ଉଦ୍ଘାଟନ ଅବସରରେ ପ୍ରଧାନମନ୍ତ୍ରୀ ସାଧାରଣ ସଭା ସ୍ଥଳରେ ପହଞ୍ଚିବା ପୂର୍ବରୁ ନୂଆ ମେଟ୍ରୋ ଲାଇନରେ କିଛି ଦୂର ଯାତ୍ରା କରିଥିଲେ । | 8 | NIv2 | task987_pib_translation_english_oriya | fs_opt | [
0.3681498169898987,
0.3046647012233734,
-0.8822003602981567,
-0.03902606666088104,
0.5917648673057556,
-0.9461134672164917,
0.20903247594833374,
0.3349260687828064,
-0.2991144061088562,
0.7988142967224121,
-0.027315868064761162,
0.7971706390380859,
0.17340290546417236,
-0.20819956064224243... |
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Let me give you an example: Abstract: This study was designed to determine the influence of a long-term, moderate-intensity treadmill training program on the distribution of blood flow within and among muscles of rats during exercise. One group (T) of male Sprague-Dawley rats trained for 1 h/day for 13-17 wk at 30 m/min on a motor-driven treadmill. A second group (UT) of rats was conditioned for 10 min/day for 4 wk at the same speed. Muscle succinate dehydrogenase activities were higher in T than UT rats indicating a significant training effect. Blood flows (BFs) in 32 hindlimb muscles or muscle parts and other selected organs were measured in the two groups with radiolabeled microspheres during preexercise and while the rats ran for 30 s, 5 min, or 15 min at 30 m/min on the treadmill. The data indicate 1) there were no differences in total hindlimb muscle BF between UT and T rats at any time; however, 2) T rats had higher preexercise heart rates and higher muscle BFs in the deep red extensor muscles, suggesting a greater anticipatory response to the impending exercise; 3) T rats demonstrated more rapid elevations in BF in the red extensor muscles at the commencement of exercise; 4) T rats had higher BFs in red extensor muscles during exercise, whereas UT rats had higher BFs in white muscles; and 5) T rats maintained higher BFs in the visceral organs during exercise. These findings demonstrate that exercise training results in changes in the distribution of BF within and among muscles and among organs during exercise. Specifically, data indicate the high-oxidative motor units that are primarily recruited in the muscles during the initial stages of moderate treadmill exercise receive higher blood flows in the trained rats; this presumably contributes to increased resistance to fatigue.. Title: Exercise blood flow patterns within and among rat muscles after training.
The answer to this example can be: yes
Here is why: Title is appropriate for the given abstract because the focus of this abstract is cerebral white matter assesment.
OK. solve this:
Abstract: We studied the effect of recombinant human interleukin-1 beta (IL-1) and recombinant human tumor necrosis factor alpha/cachectin (TNF) on glucose kinetics in healthy rats by means of a primed constant infusion of D-(6-3H)glucose and D-[U-14C]glucose. During the isotope (6-hour) and monokine (4-hour) infusion, plasma levels of glucagon and insulin were determined and correlated with changes in glucose metabolism. The rates of glucose appearance (Ra) and disappearance (Rd) were elevated only with IL-1 and were associated with an increase in glucagon and a concomitant decrease in the ratio of insulin to glucagon. Plasma glucose concentration was increased early after IL-1 administration and coincided with the peak in the Ra. The augmentation of the metabolic clearance rate (MCR) and percent of flux oxidized by IL-1 suggest that this monokine induces the utilization of glucose as a substrate. TNF administration failed to modify the Ra or Rd, percent of flux oxidized, or MCR. TNF-treated rats increased the percent of glucose recycling, but not the total rate of glucose production. The results of this experiment suggest that endogenous macrophage products participate in the diverse alterations of carbohydrate metabolism seen during injury and/or infection.. Title: Effect of interleukin-1 and tumor necrosis factor/cachectin on glucose turnover in the rat.
Answer: | yes | 8 | NIv2 | task1587_scifact_classification | fs_opt | [
0.2883450388908386,
0.46997883915901184,
-0.4850834012031555,
0.47055837512016296,
1.0105750560760498,
0.1150539368391037,
0.2626909017562866,
0.821166455745697,
-0.0032455509062856436,
-0.08814583718776703,
-0.7904874682426453,
-0.01484009064733982,
-0.8644105195999146,
0.0862790644168853... |
You will be given a definition of a task first, then some input of the task.
This task is to translate a news commentary given in French language into Russian 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.
Malheureusement, pour des millions d’Européens de l’Est et du centre, cette libération fut suivie des années d’oppression stalinienne.
Output: | Но для миллионов жителей Центральной и Восточной Европы вслед за освобождением наступила сталинская тирания. | 1 | NIv2 | task1377_newscomm_translation | zs_opt | [
0.04994189739227295,
0.17379292845726013,
-0.25203007459640503,
0.12122675776481628,
0.21513068675994873,
0.5119953155517578,
0.6804780960083008,
0.7780969142913818,
0.6115097403526306,
-0.11996239423751831,
-0.5148473978042603,
-0.4990679919719696,
-0.08239662647247314,
0.3026614189147949... |
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Q: [که] مردم را از جا مىکند؛ گویى تنههاى نخلى بودند که ریشهکن شده بودند.
A: | Which snatched away men as though they were palm trees pulled out by the roots. | 4 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.7412276268005371,
1.1898391246795654,
-0.07017186284065247,
-0.7791489958763123,
-0.28397807478904724,
-1.0308867692947388,
0.8666874170303345,
0.4623757600784302,
-0.2702137529850006,
0.24266529083251953,
-1.1102237701416016,
0.3689253330230713,
-0.6825196743011475,
0.5133998990058899,... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios.
[Q]: Elizabeth entered the pantry. Evelyn entered the pantry. The spinach is in the red_crate. Elizabeth moved the spinach to the green_drawer. Elizabeth is in the pantry. James entered the pantry. The spinach is in the green_drawer. Elizabeth moved the spinach to the red_crate. Benjamin entered the garage. Elizabeth entered the garage. The green_pepper is in the red_bottle. Benjamin moved the green_pepper to the red_bucket. Benjamin entered the patio. Elizabeth entered the patio. The lime is in the blue_envelope. Benjamin moved the lime to the red_pantry. Where will Elizabeth look for the lime?
[A]: red_pantry
[Q]: James entered the sunroom. Jackson entered the sunroom. The broccoli is in the red_bottle. James moved the broccoli to the red_cupboard. Jayden entered the front_yard. James entered the front_yard. The peach is in the blue_treasure_chest. Jayden moved the peach to the blue_cupboard. Jackson entered the living_room. James entered the living_room. The tomato is in the blue_envelope. Jackson moved the tomato to the red_treasure_chest. Hannah entered the living_room. James is in the living_room. The tomato is in the red_treasure_chest. Hannah moved the tomato to the blue_envelope. Where is the tomato really?
[A]: blue_envelope
[Q]: Jayden entered the TV_room. Hannah entered the TV_room. The turnip is in the green_bucket. Jayden moved the turnip to the blue_envelope. Where will Hannah look for the turnip?
[A]: | blue_envelope
| 5 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.26637306809425354,
-0.4504006505012512,
-0.3388734757900238,
0.05482633411884308,
-0.2953885793685913,
-0.46439987421035767,
-0.05244087427854538,
0.8114792108535767,
0.23959259688854218,
-0.061310961842536926,
-0.46195119619369507,
0.837101399898529,
-0.16497299075126648,
-0.06959702819... |
In this task, you are to Translate German text to English
One example: Das Textilband (1) ist insbesondere als (Kreuz-) Band-, Ligament- oder Sehnenersatz einzusetzen.
Solution is here: The textile band (1) is used particularly as (cross) ligament or tendon replacement.
Explanation: The translation is fluent, formal, and accurate
Now, solve this: Nach einer gewissen Zeit werden die Stangen zwischen rotierenden Reinigungsbürsten (4) durchgestossen und anschliessend durch Förderwalzen (3) durchgezogen und auf einen Tisch (1) abgelegt.
Solution: | After a while, the rods are pushed through between rotating cleaning brushes (4) and then pulled through transport rollers (3) and laid on a table (1). | 6 | NIv2 | task841_para_pdt_de_en_translation | fs_opt | [
0.07743704319000244,
0.91835618019104,
-0.8744881749153137,
0.5031847953796387,
0.01777377724647522,
-0.5356073975563049,
0.3694392740726471,
0.24897272884845734,
-0.15265443921089172,
0.5171768665313721,
-0.19149693846702576,
0.08364586532115936,
-0.4232547879219055,
0.061814989894628525,... |
Given the task definition and input, reply with output. This task is about translating a given English language sentence to Yoruba language.
Social networks were generally built on the idea of sharing posts, photographs, and personal information.
| A gbé ẹ̀rọ-alátagbà kalẹ̀ fún pínpín àyọkà, àwòrán àti ìwífún nípa ara ẹni. | 5 | NIv2 | task1685_menyo20k_translation | zs_opt | [
0.1105644553899765,
0.5930004119873047,
0.41885852813720703,
0.1418822705745697,
0.1007881909608841,
0.19497598707675934,
-0.18408964574337006,
0.5571181774139404,
0.5359266996383667,
-0.7143794298171997,
0.07836013287305832,
0.673408031463623,
-1.109700083732605,
0.1168871819972992,
0.2... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given reviews written about the books in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
অসাধারণ একটি বই, লজিকাল স্কিল ডেভেলপমেন্ট এর জন্যে অতুলনীয়..
Solution: positive
Why? Here the reviewer seems to love the logical development of the storyline in the book, so this should be classified as positive.
New input: দেশের একটি বিশ্ববিদ্যালয়ে একটি ধর্ষণকে কেন্দ্র করে বইটি লেখা হয়েছে । সরকার পন্থী যোগ্যতাহীন এক উপাচার্যের পোষ্য এক ছাত্র নেতার ধর্ষণকে ধামাচাপা দেয়ার চেষ্টা , অভিযোগের কোন গুরুত্ব না দিয়ে এড়িয়ে যাওয়া , সাধারণ শিক্ষার্থীদের একটি অসাধারণ আন্দোলন ......... ঘটনার ধারাবাহিকতা পাঠককে আচ্ছন্ন করবে । রাজনীতি কিভাবে বাংলাদেশের বিশ্ববিদ্যালয়ের পরিবেশ একেবারে নষ্ট করে দিয়ে কুৎসিত খেলাকে উজ্জীবিত করে থাকে - তারই এক অতুলনীয় উপন্যাস এটি । নোংরা মানুষদের স্বার্থের বাণিজ্যপ্রবৃত্তি আচরণ এবং নিরীহের উপর অন্যায় - সব মিলিয়ে কাহিনীর মধ্য দিয়ে জাফর ইকবাল স্যার একটি সাহসী পট চিত্রিত করেছেন । উনার অন্যতম সেরা একটি বই ।
Solution: | positive | 0 | NIv2 | task1497_bengali_book_reviews_sentiment_classification | fs_opt | [
-0.9151108264923096,
0.06467526406049728,
0.0811082124710083,
-0.335692822933197,
-0.01922788843512535,
0.6933004856109619,
0.9057530760765076,
0.36277902126312256,
0.1046987920999527,
0.010653434321284294,
-0.8114117383956909,
0.5831639766693115,
-0.8350734114646912,
-0.1710316389799118,
... |
Instructions: Two analogies that relate places/locations to the associated travel mode is given in the form "A : B. C : ?". "A : B" relates place A to travel mode B. Your task is to replace the question mark (?) with the appropriate travel mode for the given place C, following the "A : B" relation.
Input: museum : bus. bermuda : ?
Output: | airplane | 3 | NIv2 | task1154_bard_analogical_reasoning_travel | zs_opt | [
0.1884436458349228,
0.38980862498283386,
-0.665544867515564,
0.12441124022006989,
-0.7457947731018066,
0.22886237502098083,
0.8191113471984863,
-0.0342322438955307,
0.3998541831970215,
-0.17063748836517334,
-0.27954256534576416,
-0.025975514203310013,
0.8271907567977905,
0.0996429845690727... |
In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
[EX Q]: Context_1 : Álvaro Obregón Salido (] ; February 19, 1880 – July 17, 1928) was a general in the Mexican Revolution, who became President of Mexico from 1920 to 1924. He supported Sonora's decision to follow Governor of Coahuila Venustiano Carranza as leader of a revolution against the Huerta regime. Carranza appointed Obregón commander of the revolutionary forces in northwestern Mexico and in 1915 appointed him as his minister of war. In 1920, Obregón launched a revolt against Carranza, in which Carranza was assassinated; he won the subsequent election with overwhelming support. Context_2 : Richard Lawrence (c. 1800 – June 13, 1861) was an American house painter who was the first known person to attempt to assassinate a sitting President of the United States. Lawrence attempted to shoot President Andrew Jackson outside the United States Capitol on January 30, 1835. The attempt failed, and Jackson reputedly beat Lawrence with a cane before a crowd subdued Lawrence. Lawrence spent the remainder of his life in an insane asylum. Context_3 : Rain for a Dusty Summer, originally known as Miguel Pro, is a 1971 Western film. It was shot on location in Spain. Context_4 : Miguel Pro Human Rights Center (PRODH), founded by the Jesuits, has since 1988 promoted human rights in Mexico mainly through advocacy, training, and legal assistance. Context_5 : Sara Jane Moore (née Kahn; born February 15, 1930) is an American citizen best known for attempting to assassinate US President Gerald Ford in 1975. She was given a life sentence for the attempted assassination and was released from prison on December 31, 2007, after serving 32 years. Moore and Lynette "Squeaky" Fromme are the only two women to have attempted to assassinate an American president; both of their attempts were on Gerald Ford and both took place in California within three weeks of one another. Mary Surratt, a woman, was convicted as a conspirator in the murder of Abraham Lincoln and hanged. Context_6 : José Ramón Miguel Agustín Pro Juárez, S.J., also known as Blessed Miguel Pro (born January 13, 1891 – executed November 23, 1927) was a Mexican Jesuit Catholic priest executed under the presidency of Plutarco Elías Calles on charges of bombing and attempted assassination of former Mexican President Álvaro Obregón. Context_7 : Hellmut G. Haasis (born 7 January 1942) is a German historian, author, and broadcaster. He is particularly known for his biographies of Georg Elser who attempted to assassinate Adolf Hitler in 1939; Reinhard Heydrich who was one of the main architects of the Holocaust; and Joseph Süß Oppenheimer who was executed in 1738 and in 1940 was the subject of a notorious Nazi anti-semitic propaganda film, "Jud Süß". Haasis was born in Mühlacker, a town in the Swabia region of Germany, and has written two novels in Swabian dialect as well as a collection of poetry. He is the recipient of the Thaddäus Troll Literature Prize, the Schubart Literature Prize, and the Civis Media Prize. Context_8 : Józef Andrzej Szeryński born Josef Szynkman (8 November 1893 or 1892 – 24 January 1943) was a Jewish police-colonel in interwar Poland, inspector for the Lublin district and later – during the Second World War – a commander of the Jewish Ghetto Police in Warsaw with recommendation from Adam Czerniaków. Szeryński was arrested by the Gestapo on May 1, 1942 for smuggling furs out of the Warsaw Ghetto for personal gain. He was released on the condition of leading the deportation action to Treblinka extermination camp in July 1942. The very next month Jewish underground attempted to assassinate him, unsuccessfully. He remained at the helm of the Ghetto Police until the end of the "Grossaktion Warschau" which claimed the lives of over 254,000 Ghetto inmates, men, women and children. He committed suicide right after the next wave of deportations in January 1943. Context_9 : André Dallaire (born 1961) is a Quebecois man who attempted to assassinate Canadian Prime Minister Jean Chrétien in 1995. Dallaire claimed that he heard voices that led him to break into the 24 Sussex Drive residence. At trial, Justice Paul Bélanger agreed with Dallaire's earlier diagnosis of paranoid schizophrenia and found Dallaire guilty of attempted murder, but not criminally responsible. Context_10 : Jean-Marie Bastien-Thiry (] ; 19 October 1927 – 11 March 1963) was a French Air Force lieutenant-colonel and military air-weaponry engineer. He was the creator of the Nord SS.10/SS.11 missiles. He attempted to assassinate French President Charles de Gaulle on 22 August 1962, following de Gaulle's decision to accept Algerian independence. The attack made international headlines. Bastien-Thiry was the last person to be executed by firing squad in France. fact_1 : José Ramón Miguel Agustín Pro Juárez, S.J., also known as Blessed Miguel Pro (born January 13, 1891 – executed November 23, 1927) was a Mexican Jesuit Catholic priest executed under the presidency of Plutarco Elías Calles on charges of bombing and attempted assassination of former Mexican President Álvaro Obregón. fact_2 : Álvaro Obregón Salido (] ; February 19, 1880 – July 17, 1928) was a general in the Mexican Revolution, who became President of Mexico from 1920 to 1924. Question: When was the person who Miguel Pro attempted to assassinate born?
[EX A]: February 19, 1880
[EX Q]: Context_1 : Hamdeen Sabahi (Arabic: حمدين صباحى "Ḥamdīn Ṣabāhī", ] ; born 5 July 1954) is an Egyptian politician, journalist and poet. He is currently the leader of the Egyptian Popular Current and a co-leader of the National Salvation Front. An opposition activist during the Anwar Sadat and Hosni Mubarak eras, Sabahi was jailed 17 times during their presidencies for political dissidence. He was an immediate supporter and participant of the 2011 Egyptian revolution. Sabahi entered the 2012 Egyptian presidential race in which he finished third place with 21.5% of the vote trailing the second place candidate Ahmed Shafiq by a margin of 700,000 votes. In the 2014 presidential election he was one of just two candidates. He ran second with less than 4% of the vote. Abdel Fattah el-Sisi was declared the winner after attracting 22 million of the nearly 23 million votes cast. Sisi sworn into office as President of Egypt on 8 June 2014. Context_2 : Field Marshal Abdel Fattah Saeed Hussein Khalil el-Sisi (Arabic: عبد الفتاح سعيد حسين خليل السيسي Abdu'l-Fattāḥ Sa'īd Ḥusayn Khalīl as-Sīsī , ] ; born 19 November 1954), is the sixth and incumbent President of Egypt, in office since 2014. Context_3 : The Call of Egypt () is an electoral alliance in Egypt that will compete in the 2015 Egyptian parliamentary election. The coalition has accused the Nour Party of cooperating with NDP-era tycoon Ahmed Ezz in the run up to the 2015 Egyptian parliamentary election, though the Nour Party has denied the claim. The Revolutionary Guards Party, after initially joining the alliance in February 2015, decided to run for the election on its own. The coalition is seen as being supportive of current president Abdel Fattah el-Sisi. Context_4 : Ashraf Mohamed AbdelHamid El Shihy (in Egyptian Arabic أشرف محمد عبد الحميد الشيحي), Minister of Higher Education and Minister of Scientific Research, where Ashraf El Shihy swore the constitutional oath, in front of President Abdel Fattah El-Sisi, as minister of higher education and minister of scientific research, the government of Sherif Ismail. Context_5 : The National Roads Project is a large Egyptian infrastructure project initiated by President Abdel Fattah el-Sisi in August 2014. The project includes the construction of 39 new roadways with a total length of 4,400 km. The new road network will account for around 10% of the total length of all roads in Egypt. The project is expected to be completed within 2 years and cost 36 billion EGP. Context_6 : Colonel Ahmed Mohammed Ali (Arabic: العقيد أحمد محمد علي; also known as Ahmed Ali; born: 19 November 1972) is the media adviser to the Egyptian president Abdel Fattah el-Sisi and the ex spokesperson of the Egyptian Army. He was appointed first Army Sopkesman on the backdrop of the deposition of president Mohamed Morsi, and his official Army Spokesman Facebook page exceeded 2,000,000 followers at the time, and the Egyptian media kept a close and attentive watch of the statuses published by the army, often resulting in army related articles and reports. Context_7 : Magdy Fouad Hegazy (born 6 August 1953) is the Egyptian governor of Aswan Governorate, Egypt. He was appointed by President Abdel Fattah el-Sisi on December 26, 2015. Context_8 : Mahmoud Badr (Arabic: محمود بدر ; born 1985) is an Egyptian activist and journalist. He co-founded the Tamarod ("Rebel") movement and serves as its official spokesman and one of its principal leaders. Tamarod claimed to have gathered millions of signatures, that were never independently verified, demanding the resignation of Egyptian president Mohamed Morsi, and organized mass protests which preceded the 2013 Egyptian coup d'état removing Morsi from power. Recent audio tapes secretly recorded in the offices of the deputy ministers to Al-Sisi - and authenticated by independent expert analysis from France - establish the movement as an arm of the military coup. Senior officials of the coup are heard on the tapes bragging about how good they were at falsifying evidence against Morsi, at forgery and at torture. The list of plotters included Deputy Defense Minister Mamdouh Shaheen and Gen. Abbas Kamel, the chief of staff to Gen. Abdel Fattah el-Sisi, the top military commander regarded as the mastermind behind the coup. Context_9 : Maher El-Adawy (Arabic: ماهر العدوي ) (born April 16, 1964) is a distinguished Egyptian career diplomat, he joined the Egyptian Ministry of Foreign Affairs in 1985. He represents the third generation of the El-Adawy family at the Ministry of Foreign Affairs. He served as the Deputy Assistant Foreign Minister of Egypt, until his appointment by President Abdel Fattah el-Sisi, as Ambassador Extraordinary and Plenipotentiary to the Republic of Malawi. His published op-ed in the USA Today, titled "Downfall of the Muslim Brotherhood" drew much attention in Washington, and established him as a rising star in the Ministry of Foreign Affairs. He has served in many Egyptian Missions around the world, with long-term diplomatic posts in Germany, Uruguay, Ghana, Sweden, Yemen, and Ethiopia, and short-term assignments at the German Institute for International Development, the Egyptian Mission to the United Nations in New York, and the National Defense University in Washington. After a short stint as the Egyptian Ambassador in Liberia, he was praised by nobel laureate Liberian President Ellen Johnson Sirleaf as having taken the bilateral relations between the two countries to a new level. Context_10 : Mayada Ashraf (ca. 1992 – March 28, 2014), an Egyptian journalist for "Al-Dostour" in Cairo, Egypt, was killed by gunfire while covering the protest against the government of President Abdel Fattah el-Sisi by supporters of ousted President Mohamed Morsi and the Muslim Brotherhood in Egypt in the Ain Shams district of east Cairo. Ashraf was confirmed to have been fatally shot in the back of her head killing her on the scene. Her funeral was held on March 29, 2014 in Estanhaa Village at El Monotia. fact_1 : Colonel Ahmed Mohammed Ali (Arabic: العقيد أحمد محمد علي; also known as Ahmed Ali; born: 19 November 1972) is the media adviser to the Egyptian president Abdel Fattah el-Sisi and the ex spokesperson of the Egyptian Army. fact_2 : Field Marshal Abdel Fattah Saeed Hussein Khalil el-Sisi (Arabic: عبد الفتاح سعيد حسين خليل السيسي Abdu'l-Fattāḥ Sa'īd Ḥusayn Khalīl as-Sīsī , ] ; born 19 November 1954), is the sixth and incumbent President of Egypt, in office since 2014. Question: How does Ahmed Mohammed Ali's assist the Egyptian president Abdel Fattah el-Sisi?
[EX A]: is the media adviser to the Egyptian president
[EX Q]: Context_1 : Lemonade and Brownies is the debut studio album by the American rock band Sugar Ray. It was produced by the band's director friend Joseph McGinty "McG" Nichol and DJ Lethal and released on April 4, 1995 by Atlantic Records. Actress Nicole Eggert is featured on the cover. Even though the album did not chart and was a commercial and critical failure for Atlantic Records, the band stayed on the label, going on to huge success. Context_2 : "Chuck Versus the Intersect" is the pilot episode of the American action-comedy television series "Chuck". The episode was directed by McG and written by series co-creators Josh Schwartz and Chris Fedak. It originally aired on September 24, 2007. Context_3 : "Demolition" was the pilot episode for British sitcom "The Young Ones". It was written by Ben Elton, Rik Mayall and Lise Mayer, and directed by Paul Jackson. Although made as a pilot episode, the five subsequent episodes had been commissioned and recorded by the time of broadcast, so instead "Demolition" was promoted to the ordinary first episode of a series, and has remained as so. It was first aired on BBC2 on 9 November 1982. Context_4 : "Chuck" is an American spy action-comedy-drama television series created by Josh Schwartz and Chris Fedak. It premiered on the terrestrial television network NBC on September 24, 2007, airing on Mondays at 8:00 pm ET. "Chuck" centers on Chuck Bartowski (played by Zachary Levi), an "average computer-whiz-next-door", who receives an encoded e-mail from an old college friend now working in the CIA; the message embeds the only remaining copy of the world's greatest spy secrets into Chuck's brain. The first season of "Chuck" aired in 2007–08, containing 13 episodes. After the 2007–08 Writers Guild of America strike, NBC renewed "Chuck" for a second season instead of extending the first to a full season of 22 episodes. The full-length second season originally aired in 2008–09. Episodes of "Chuck" are also available in various new media formats. The first through fifth seasons are available to purchase on DVD and Blu-ray. In the United States, United Kingdom and Canada, every episode is available for download from iTunes. Episode titles for "Chuck" are consistently formatted as "Chuck Versus...". For example, the pilot episode is titled "Chuck Versus the Intersect". This list is ordered by the episodes' original air date and not by the production codes, which show the order in which episodes were filmed. On May 13, 2011, NBC renewed "Chuck" for a fifth and final season consisting of 13 episodes. The series concluded with a two-hour finale on January 27, 2012. Context_5 : Damian Joseph McGinty Jr. (born 9 September 1992) is an actor and singer from Derry, Northern Ireland. McGinty has been performing for over a decade, and was a member of the group Celtic Thunder for four years starting when he was fourteen. On 21 August 2011, McGinty won the Oxygen reality show "The Glee Project", earning him a seven-episode guest-starring role on the hit Fox television show "Glee" which was later extended to 18 episodes. Context_6 : "Pilot" is the pilot episode of the American television series "Glee", which premiered on the Fox network on May 19, 2009. An extended director's cut version aired on September 2, 2009. The show focuses on a high school show choir, also known as a glee club, set within the fictional William McKinley High School in Lima, Ohio. The pilot episode covers the formation of the club and introduces the main characters. The episode was directed by series creator Ryan Murphy, and written by Murphy, Brad Falchuk and Ian Brennan. Murphy selected the music featured in the episode, with the intention of maintaining a balance between showtunes and chart hits. Context_7 : "The Cage" is the first pilot episode of the American television series "." It was completed in early 1965 (with a copyright date of 1964), but not broadcast on television in its complete form until late 1988. The episode was written by Gene Roddenberry and directed by Robert Butler. It was rejected by NBC in February 1965, and the network ordered another pilot episode, which became "Where No Man Has Gone Before." Context_8 : The Strain is an American horror drama television series that premiered on FX on July 13, 2014. It was created by Guillermo del Toro and Chuck Hogan, based on their novel trilogy of the same name. Carlton Cuse serves as executive producer and showrunner. Del Toro and Hogan wrote the pilot episode, "Night Zero", which del Toro directed. A thirteen-episode first season was ordered on November 19, 2013. The pilot episode premiered at the ATX Television Festival in Austin, Texas, in early June 2014. Context_9 : Joseph McGinty Nichol (born August 9, 1968), known mononymously as McG, is an American director, producer, and former record producer. Context_10 : "Dominion" is an American apocalyptic supernatural action television series created by Vaun Wilmott. It is loosely based on the 2010 film "Legion", written by Peter Schink and Scott Stewart. In December 2013, Syfy ordered a pilot episode and the series premiered on the American cable television network Syfy on June 19, 2014. The show is filmed in Cape Town, South Africa. Stewart serves as series executive producer, as well as director of the pilot episode, written by Wilmott. fact_1 : The episode was directed by McG and written by series co-creators Josh Schwartz and Chris Fedak. fact_2 : Joseph McGinty Nichol (born August 9, 1968), known mononymously as McG, is an American director, producer, and former record producer. Question: What American director, born Joseph McGinty Nichol, directed the pilot episode of "Chuck"?
[EX A]: | McG
| 6 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.4355429708957672,
0.3905603289604187,
-0.5967966318130493,
0.5446000099182129,
0.5495637655258179,
-0.1849706768989563,
0.8017198443412781,
0.9425036907196045,
-0.16774608194828033,
0.46724098920822144,
-0.5897984504699707,
0.4091309905052185,
-0.8355895280838013,
-0.04504447430372238,
... |
instruction:
In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index at 1, so the first element in the list will be subtracted by one. For every element in the list you need to find "element - index" where the index of the beginning element is 1 and increments by 1 for each element. Put your result list in brackets.
question:
[6, -11, -5, -2, 3, 17, 0]
answer:
[5, -13, -8, -6, -2, 11, -7]
question:
[-10, -13, 0, 19]
answer:
[-11, -15, -3, 15]
question:
[-5, 19, -7, -18, -11, -4]
answer:
| [-6, 17, -10, -22, -16, -10]
| 9 | NIv2 | task096_conala_list_index_subtraction | fs_opt | [
0.6519671678543091,
0.11836600303649902,
-0.832221508026123,
-0.3609115779399872,
0.03436566889286041,
-0.32011938095092773,
1.3971084356307983,
0.46050339937210083,
0.13512706756591797,
-0.4757339358329773,
-0.6240288019180298,
-0.24110853672027588,
-0.4876991808414459,
0.0857886075973510... |
Part 1. Definition
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is potentially offensive to anyone (i.e., a subset of people, any particular person, etc.), 2) no, otherwise. Note that potentially offensive posts can contain sexual, racial, religious biased or offensive language. Warning: the examples and instances may contain offensive language.
Part 2. Example
#RPDR FUCKING FARRAH MOAN, HAVE YOU NEVER WATCHED THIS SHOW. WHEN YOU GET THE CALL, TAKE A LESSON.
Answer: Yes
Explanation: (Correct Answer) This post is aggressive and berates a person for not having watched a show. Therefore the correct answer is 1/Potentially Offensive.
Part 3. Exercise
I'd hit a Kardashian she threw money at me bruh somebody would have to pull me off that hoe idgaf who she is. Nobody to me anyway lol
Answer: | No | 7 | NIv2 | task609_sbic_potentially_offense_binary_classification | fs_opt | [
0.06099545210599899,
0.0051836250349879265,
0.5005049109458923,
0.02134411223232746,
0.39651429653167725,
0.08613865077495575,
0.7188670635223389,
0.42930638790130615,
0.5049283504486084,
-0.1502409428358078,
-0.12039269506931305,
-0.24849508702754974,
-0.5409903526306152,
-0.6891828179359... |
A text is given in Hindi. Translate it from the Hindi language to the Oriya language. The translation must not omit or add information to the original sentence.
Example: ଏହି ପ୍ରସଙ୍ଗରେ ନୀତି ପ୍ରଣୟନ ସମୟରେ ଉଚ୍ଚସ୍ତରୀୟ କମିଟିର ସୁପାରିସଗୁଡ଼ିକୁ ପେଟ୍ରୋଲିୟମ ଏବଂ ପ୍ରାକୃତିକ ବାଷ୍ପ ମନ୍ତ୍ରଣାଳୟ ବିବେଚନା କରିବ ବୋଲି ସୂଚନା ମିଳିଛି ।
Example solution: इस घटना की जानकारी को निजी समिति को जानकारी के रूप में पाया गया है, उच्च स्तरीय समिति की सिफारिश प्राप्त की जाएगी।
Example explanation: Correct translation for given sentence. Input sentence means 'The information in this event have been found private committeeers as information, the recommendation of the high-level committee will have been obtained.' which is the same as the output sentence.
Problem: ଆଗାମୀ 25 ବର୍ଷରେ ବାଷ୍ପ ଚାହିଦା ତିନିଗୁଣ ବୃଦ୍ଧି ପାଇବ
| Solution: महिला एवं बाल विकास मंत्रालय | 5 | NIv2 | task986_pib_translation_oriya_hindi | fs_opt | [
0.13213664293289185,
0.6117184162139893,
-0.3187892735004425,
0.7437861561775208,
0.2192908227443695,
-1.2962253093719482,
0.30805641412734985,
0.4599952697753906,
-0.8568439483642578,
0.47283804416656494,
-0.6001798510551453,
-0.23697687685489655,
-0.1998460590839386,
0.1062190979719162,
... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
One example is below.
Q: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
A: a, 34, f
Rationale: Here, the first 3 elements from the list are 'a', '34', and 'f'.
Q: 6, ['a', '473', 'P', '2107', 'e', '7191', '2847', '461', 'S', 'G', '5407', '2635', '5495', '9625', 'h', 'w', 'd', 'e', 'K', 'f', 'd']
A: | a, 473, P, 2107, e, 7191 | 9 | NIv2 | task063_first_i_elements | fs_opt | [
-0.03281041979789734,
0.741237223148346,
-0.15519613027572632,
-0.7441165447235107,
-0.48202061653137207,
-0.12381824851036072,
0.9389828443527222,
0.26332980394363403,
-0.07955433428287506,
-0.0457017719745636,
-1.0687875747680664,
-0.22668839991092682,
-0.11885515600442886,
-0.5653351545... |
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
[EX Q]: សមាជិកមួយចំនួនរបស់ក្រុមយូអេសអេ បានជួបការលំបាក និងមិនអាចចាប់ផ្តើម ឬបព្ចាប់ការប្រកួតរបស់ពួកគេ។
[EX A]: アメリカチームのメンバーの中には少数ながらうまくいかなかった人もいて、スタートできなかったりゴールまで到達できなかった人もいた。
[EX Q]: ករណីកាត់ទោសនេះ បានជួបប្រទះនឹងការលំបាកជាច្រើនទាំងទងនឹងនីតិវិធី រួមមានចៅក្រមតុលាការតំបន់អាមេរិច អេមមេត ជីសូលីវ៉ាន់ កាន់កាប់ការកាត់ទោស ដោយមិនគោរពច្បាប់ ក្នុងខែមីនា ដែលបរាជ័យក្នុងការប្រើប្រាស់ឯកសារជាប់ទាក់ទងនឹងរបាយការណ៍របស់អ្នករាយការណ៍សម្ងាត់FBI លើការដោះស្រាយបណ្តឹងមិនបានល្អ។
[EX A]: 米連邦地裁裁判官エメットG.サリヴァンは、この訴訟の処置を誤ったというFBI内部告発者の報告に関する書類を引き継ぐことができず、3月に法廷侮辱罪に問われており、この起訴事件は、いくつかの手続き的な困難をもたらしている。
[EX Q]: ទោះបីជាលទ្ធផលនៃការប្រកួតនេះមានលក្ខណៈចំរុះក៏ដោយក៏ក្រុមគូករីសអាចមាលក្ខណៈសម្បត្តិគ្រប់គ្រាន់សម្រាប់វគ្គផ្ដាច់ព្រ័ត្រដែរ។
[EX A]: | トーナメントの結果は、様々に入り混じっていたにもかかわらず、Kukrisは、なんとかJugFinalを獲得しました。
| 6 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
0.45434972643852234,
-0.20833736658096313,
-0.7648307085037231,
-0.32111692428588867,
0.2582983374595642,
-0.5518724918365479,
0.10957913100719452,
0.3975445330142975,
-0.45310908555984497,
-0.16595786809921265,
-0.3083276152610779,
0.5373621582984924,
-0.6116991639137268,
0.53364562988281... |
Given the task definition and input, reply with output. In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3', corresponding to the choice number of the selected sentence. If sentence X agrees with sentence Y, one's correctness follows from the other one. If sentence X disagrees with sentence Y, they can not be correct at the same time.
Statement: The presentation of the financial audit chapters proposes eliminating the term financial related audits by specifically recognizing the services in addition to financial statement audits that are covered by the AICPA's Statements on Auditing Standards in chapters 4 and 5 or by the Statement on Standards for Attestation Engagements in chapter 6. The term financial related audits was the source of considerable confusion to the users of GAGAS. Choices: 1. The financial audit chapter proposes keeping the term financial related audits. 2. There has been a lot of support for eliminating the term financial related audits in the auditing and financial professions. 3. The financial audit chapter proposes removing the term "financial related audits".
| 2 | 5 | NIv2 | task201_mnli_neutral_classification | zs_opt | [
-0.06056927517056465,
0.0015865382738411427,
-0.12523117661476135,
0.4790121614933014,
0.3137832283973694,
-0.44995492696762085,
-0.08559572696685791,
1.1610937118530273,
-0.039272893220186234,
0.173343688249588,
-0.4181932508945465,
-0.173357754945755,
-0.3592378795146942,
-0.589682519435... |
Detailed Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine 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 : '$': Dollar Sign, "''": Single Quotes, ',': Comma Symbol, '-LRB-': Left Parantheses, '-RRB-': Right Parantheses, '.': Period, ':': Colon, 'ADD': Email Address, 'AFX': Affix, 'CC': Coordinating conjunction, 'CD': Cardinal Number, 'DT': Determiner, 'EX': Existential there, 'FW': Foreign Word, 'GW': Go with, 'HYPH': Hyphen symbol, 'IN': Preposition or a subordinating conjunction, 'JJ': Adjective, 'JJR': A comparative Adjective, 'JJS': A Superlative Adjective, 'LS': List item Marker, 'MD': Modal, 'NFP': Superfluous punctuation, 'NN': Singular Noun, 'NNP': Singular Proper Noun, 'NNPS': Prural Proper Noun, 'NNS': Prural Noun, 'PDT': Pre-determiner, 'POS': Possessive Ending, 'PRP': Personal pronoun, 'PRP$': Possessive Pronoun, 'RB': Adverb, 'RBR': Comparative Adverb, 'RBS': Superlative Adverb, 'RP': Particle, 'SYM': Symbol, 'TO': To , 'UH': Interjection, 'VB': Base form Verb, 'VBD': Verb in Past tense, 'VBG': Verb in present participle, 'VBN': Verb in past participle, 'VBP': Verb in non-3rd person singular present, 'VBZ': Verb in 3rd person singular present, 'WDT': Wh-determiner, 'WP': Wh-pronoun, 'WP$' Possessive Wh-pronoun, 'WRB': Wh-adverb, 'XX': Unknown, '``': Double backticks.
See one example below:
Problem: Sentence: Those things ended up being a windsheild washer fluid tank {{ ( }} 1 screw ) and the air filter canister ( 4 spring clips ) .
Word: (
Solution: -LRB-
Explanation: "(" is the symbol for Left Parantheses (-LRB-).
Problem: Sentence: Philip Annesley Conference Producer Risk Waters Group +44 20 7484 9866 +44 20 7484 9800 {{ www.risk-conferences.com/risk2001aus }}
Word: www.risk-conferences.com/risk2001aus
Solution: | ADD | 4 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.03917098417878151,
0.3215268850326538,
-0.22838634252548218,
0.19754573702812195,
-0.14348480105400085,
-0.6728029251098633,
0.5672520399093628,
0.8602346777915955,
-0.41957372426986694,
-0.07144787907600403,
-0.5129132270812988,
0.5977389812469482,
-0.4565683901309967,
0.088894605636596... |
Instructions: Given a premise and two alternatives, choose the alternative that is a more plausible cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Input: I exited my bedroom through the window.
(1)The house was on fire.(2)The house was empty.
Output: | 1 | 3 | NIv2 | task827_copa_commonsense_reasoning | zs_opt | [
-0.7575104236602783,
0.83797287940979,
-0.35817521810531616,
0.3279353380203247,
-0.31405559182167053,
-0.3702295422554016,
0.5269433259963989,
0.5160884857177734,
0.3126288652420044,
0.2909170985221863,
-0.4842855632305145,
-0.2963288426399231,
-0.21690043807029724,
-0.04950087144970894,
... |
Definition: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Input: Review: Thanks for killing the franchise with this turkey, John Carpenter and Tommy Lee Wallace. This movie sucks on so many levels it's pathetic. The first VAMPIRES was fun, but this low budget retread makes me yawn.Jon Bon Jovi (the poor man's Kevin Bacon) drives around Mexico with a surfboard housing a hidden compartment holding his vampire killing gear ala Antonio Banderas's guitar case in DESPERADO. He picks up some lame "hunters" along the way (including an annoyingly feminist infected girl who takes pills to keep from turning into a vampire), and they set out to stop some female master vampire who is given no backstory and so we could care less about her or her quest (to walk in the sunlight by stealing the Black Cross and performing a ritual to allow her to do so). If you've seen the first VAMPIRES, you've already seen this, and done much better.John Carpenter has been responsible for a lot of bad movies lately. Frankly, I think he's past his prime and incapable of making another horror classic. The only decent film he's done since THEY LIVE (1987) is VAMPIRES. Everything else is complete crap, right up until the unbelievably cheap looking and retarded GHOSTS OF MARS... and now this waste of celluloid. Where are more greats like ASSAULT ON PRECINCT 13, HALLOWEEN (1), ESCAPE FROM NEW YORK and THE THING?Carpenter crony Wallace proves he can't write his way out of a paper bag with his paper-thin script packed with yawns, groans and recycled gags from the original. Did I mention I hated every character in the movie? There was not a single memorable character in the whole film. How does that happen? This film has nothing to recommend it. Not even the DVD presentation is good; the menu looks awful.By comparison, JASON X: "FRIDAY THE 13th IN SPACE" was a masterpiece. Now that is how you make a sequel and (re)energize a franchise, ladies and germs, as well as create an exciting DVD menu. Question: is it a positive review?
Output: | no | 2 | NIv2 | task285_imdb_answer_generation | zs_opt | [
0.005786573514342308,
0.17204368114471436,
-0.5914586782455444,
0.47495049238204956,
0.2793768048286438,
-0.29817306995391846,
0.830238938331604,
1.1470144987106323,
-0.08450603485107422,
0.198965385556221,
-0.1613313853740692,
0.37871378660202026,
-0.06285910308361053,
-0.2321476340293884... |
Teacher: In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Teacher: Now, understand the problem? If you are still confused, see the following example:
Fact1: a plant requires sunlight to grow, Fact2: Plants to avoid are fast-growing vines that can take over an area in no time., Question: What requires sunlight in order to take over an area? (A) spores (B) fish (C) plants (D) humans (E) pods (F) Oak (G) opossums (H) coral
Solution: C
Reason: This is a good example. Based on the facts plants require sunlight in order to take over an area.
Now, solve this instance: Fact1: when a river floods , that river deposits soil in flood plains, Fact2: By far the mightiest of the great rivers is the Amazon ., Question: When the Amazon floods it deposits what in flood plain? (A) earth (B) cities (C) rocks (D) dirt (E) seawater (F) Sand (G) saltwater (H) soil
Student: | H | 2 | NIv2 | task1297_qasc_question_answering | fs_opt | [
0.7988927364349365,
-0.4003140330314636,
-0.39627140760421753,
-0.23675313591957092,
-0.38716888427734375,
-1.7321239709854126,
-0.23733772337436676,
1.2097656726837158,
-0.07701323181390762,
-0.22371350228786469,
-0.3114606440067291,
-0.13044673204421997,
-0.6141902208328247,
-0.522122263... |
You are given a statement written in Malayalam. 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 .
One example: Statement: ഈസ്റ്റേൺ കാറ്റിൽ ഈഗ്രറ്റ് (B. i. coromandus) - 1783 - ൽ പീറ്റർ ബൊഡേർട്ട് ആണ് ആദ്യമായി വിവരണം നല്കിയത്. ഏഷ്യയിലെയും ആഫ്രിക്കയിലെയും സങ്കരവർഗ്ഗം ആണ്. തെക്കുകിഴക്കൻ ഏഷ്യയിൽ നിന്ന് <MASK>, ജപ്പാനിലേയ്ക്കും സഞ്ചരിക്കുന്നു. ആസ്ട്രേലിയയിലേയ്ക്കും, ന്യൂസ് ലാന്റിലേയ്ക്കും ഭാഗികമായി ദേശാടനം നടത്തുന്നു.
Option A: ആസ്ട്രേലിയയിലെ
Option B: പാകിസ്താനിലേയ്ക്കും
Option C: കോമോറോസ്
Option D: അർജന്റീനയിലും
Solution is here: പാകിസ്താനിലേയ്ക്കും
Explanation: As the statement mentions fom south east asia , only one option makes sense hence the best options to replace the <MASK> token is പാകിസ്താനിലേയ്ക്കും .
Now, solve this: Statement: <MASK> കീഴടക്കിയ സുൽത്താൻ മുഹമ്മദ് നഗരത്തിന്റെ പേര് ഇസ്താംബുൾ എന്നാക്കി മാറ്റി, പട്ടണ നിവാസികളുടെ അധിക നികുതി എടുത്തു മാറ്റിയതോടെ പ്രദശവാസികൾ സ്വമനസാലെ ഭരണമാറ്റം സ്വാഗതം ചെയ്തു. അയ്യൂബ് അൻസാരിയുടെ ബഹുമാനാർത്ഥം അയ്യൂബ് പള്ളിയും ദർഗ്ഗ യും നിർമ്മിക്കുകയാണ് സുൽത്താൻ ആദ്യം ചെയ്തത്. തുടർന്ന് വലിയ ഒരു മാർക്കെറ്റ് സ്ഥാപിച്ച മുഹമ്മദ് രണ്ടാമൻ സൗജന്യ വീടും ആനൂകൂല്യങ്ങളും വാഗ്ദാനം ചെയ്തു രാജ്യത്തിന്റെ പല ഭാഗത്തുമുള്ള വൈദ്ഗ്ത്യ തൊഴിലാളികളെയും നിർമ്മാണ വിദഗ്ദരെയും കോൺസ്റ്റാന്റിനോപ്പിളിലേക്ക് ആകർഷിക്കുകയും ലോക കച്ചവട തുരുത്താക്കി പ്രദേശത്തെ മാറ്റുകയും ചെയ്തു. രാജ്യത്തുടനീളം ഉദ്യാനങ്ങളും സ്കൂളുകളും നിർമ്മിച്ചു. മസ്ജിദുകളും സൂഫി ആശ്രമങ്ങളും സ്ഥാപിച്ചു മതപരമായ അറിവുകൾ പകർന്നു നൽകാനും ശ്രദ്ധിച്ചു. ഓട്ടോമൻ ശിൽചാതുരിയിൽ ഫത്താഹ് പള്ളിയും, ടോപ്കാപി കൊട്ടാരവും പണിതു. അപൂർവമായ ഗ്രന്ഥങ്ങൾക്കായി കൊട്ടാരത്തിൽ പ്രത്യേകം ലൈബ്രറി തന്നെയുണ്ടായിരുന്നു. വ്യത്യസ്ത ഭാഷകളിലുള്ള പന്ത്രണ്ടായിരം പുസ്തകങ്ങൾ അതിലുണ്ടായിരുന്നു എന്നാണു പറയപ്പെടുന്നത്. കൊട്ടാരത്തിൽ ഇദ്ദേഹം ധ്യാനമിരുക്കാനായി പണിത മുറിയും ശ്രദ്ധേയമാണ്.
Option A: റോം
Option B: ഹംഗറി
Option C: ഇസ്താംബുൾ
Option D: കോൺസ്റ്റാന്റിനോപ്പിൾ
Solution: | കോൺസ്റ്റാന്റിനോപ്പിൾ | 6 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
0.48551833629608154,
0.6146115660667419,
-0.29421889781951904,
-0.16680315136909485,
0.03884676843881607,
-0.8799794912338257,
0.517690896987915,
0.8449242115020752,
-0.30809760093688965,
0.14439328014850616,
-0.27535736560821533,
0.5880686044692993,
-0.40872371196746826,
-0.39532184600830... |
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Q: Sentence1: Tom Kraynak , manager of operations and resources for the Canton , Ohio-based East Central Area Reliability Council , said that scenario is one among many that investigators are considering ., Sentence2: Tom Kraynak , manager of operations and resources for the Canton , Ohio-based East Central Area Reliability Council , said investigators are considering the scenario .
A: Yes
****
Q: Sentence1: The Nasdaq composite index increased 10.73 , or 0.7 percent , to 1,514.77 ., Sentence2: The Nasdaq Composite index , full of technology stocks , was lately up around 18 points .
A: No
****
Q: Sentence1: Fewer than a dozen FBI agents were dispatched to secure and analyze evidence ., Sentence2: Fewer than a dozen FBI agents will be sent to Iraq to secure and analyze evidence of the bombing .
A: | Yes
****
| 4 | NIv2 | task1288_glue_mrpc_paraphrasing | fs_opt | [
-0.33224403858184814,
0.09710967540740967,
0.013629494234919548,
0.36272451281547546,
0.4696548879146576,
-1.0439317226409912,
-0.12005931884050369,
1.1798465251922607,
0.2888244092464447,
0.3233719766139984,
-0.6831603050231934,
0.1367560625076294,
-0.8197176456451416,
-0.1968082040548324... |
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
W: How was your vacation last month? M: It was nice but expensive. We thought the hotel would cost 15 dollars, but it was three times that much., Question: How much did the hotel cost?
5 dollars.
M: Jack has got a bad cold. Could you get some medicine for him? W: OK, I'll go to the supermarket right now., Question: What do we know about the woman?
She's caught a bad cold
M: I'm really getting worried about Mary. She was sitting in for the exam in two weeks' time. But all she is talking about now is nothing but an upcoming concert. W: She may fail along that line. Let's try to talk some sense into her., Question: What are the speakers probably going to do?
| To help Mary to prepare for the upcoming concert.
| 0 | NIv2 | task283_dream_incorrect_answer_generation | fs_opt | [
0.6117274761199951,
0.4417042136192322,
-0.4614754915237427,
-0.41976481676101685,
0.16581963002681732,
-0.46185433864593506,
0.7183538675308228,
0.48857825994491577,
0.5581622123718262,
-0.19242435693740845,
-0.5938072204589844,
-0.1370428055524826,
-0.09014027565717697,
-0.60358333587646... |
Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Example Input: Context : Kaliganj massacre (Bengali: কালিগঞ্জ হত্যাকান্ড) refers to the massacre of unarmed Bengali Hindus fleeing to India in Kaliganj market, in the present day Jaldhaka Upazila of Nilphamari District on 27 April 1971.
Answer : 27 April 1971
Example Output: What is the full date that Kaliganj massacre crashed on?
Example Input: Context : In 1990, Top Hat was selected for preservation in the United States National Film Registry by the Library of Congress as being ``culturally, historically, or aesthetically significant''.
Answer : National Film Registry
Example Output: What award was received by Top Hat?
Example Input: Context : Willis H. Downs (September 1866--September 15, 1929) was a United States Army private who earned the Medal of Honor during the Philippine--
Answer : Medal of Honor
Example Output: | What was the award received by Willis H. Downs?
| 3 | NIv2 | task1326_qa_zre_question_generation_from_answer | fs_opt | [
0.2469295710325241,
0.17705854773521423,
-0.37487924098968506,
0.7983876466751099,
-0.422791063785553,
-1.0850605964660645,
0.8809564709663391,
0.02364731952548027,
-0.5913956165313721,
-0.42277562618255615,
-0.8265963196754456,
-0.08352725207805634,
-0.2235066443681717,
0.4475901424884796... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
Non metterò più chiodi sulla sedia dell'insegnante. È assurdo! | אני לא אשים נעצים על הכיסא של המורה. "" זה אבסורדי. | 0 | NIv2 | task1251_ted_translation_it_he | zs_opt | [
-0.40792977809906006,
0.23712846636772156,
-0.6418823003768921,
-0.5415620803833008,
-0.8561497926712036,
-0.8343244194984436,
-0.3551347851753235,
0.4942248463630676,
0.6983662247657776,
-0.7109928131103516,
-0.3072547912597656,
-0.10079110413789749,
-0.23204027116298676,
0.08297818899154... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence.
Q: In a year, a person can learn over 300 new words in different languages.
A: | ഒരു വര്ഷം കൊണ്ട് ഒരു വ്യക്തിക്ക് വിവിധ ഭാഷകളിലുള്ള 300 വാക്കുകള് പഠിക്കാനാകും. | 9 | NIv2 | task1021_pib_translation_english_malayalam | zs_opt | [
0.4148152768611908,
0.8851240277290344,
0.3007916808128357,
-0.42423349618911743,
0.12998929619789124,
-1.7233145236968994,
-0.0066543519496917725,
0.1871153861284256,
-0.6013076305389404,
-0.33200860023498535,
-0.3118895888328552,
-0.061712801456451416,
-1.1982309818267822,
0.266575813293... |
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
In what year did the American silent film actress retire ? | IN WP NN VBD DT NNP NN NN NN NN . | 0 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
-0.23076429963111877,
0.4933703541755676,
-0.43817827105522156,
0.35429030656814575,
-0.3187565803527832,
-0.2572198510169983,
0.9502075910568237,
0.39301353693008423,
0.10361887514591217,
-0.1577547937631607,
-0.28080108761787415,
0.14852836728096008,
-0.46066996455192566,
-0.163643300533... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Galician.
Q: I may say, we did all this work twice.
A: | Fixemos estas análises 2 veces, | 9 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
-0.6224700212478638,
1.268017292022705,
0.0040022218599915504,
0.00470384769141674,
0.12219902127981186,
-1.1092948913574219,
-0.541602611541748,
0.7287719249725342,
0.007051100488752127,
0.044312745332717896,
0.018566150218248367,
0.11955980211496353,
-0.2856728434562683,
0.12184187769889... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Example: Ao longo do livro, George chama a atenção de que a sua tecnologia, a tecnologia da biologia sintética, está atualmente a acelerar a uma taxa 4 vezes superior à Lei de Moore.
Output: Ora, lungo il percorso, George segnala che la sua tecnologia, la tecnologia della biologia sintetica, sta accelerando molto più velocemente del tasso previsto dalla Legge di Moore.
The Portugese sentence is correctly translated into Italian, because the meaning is preserved.
New input case for you: Até tem a sua própria alcunha, "" a hormona das carícias "" porque é libertada quando abraçam alguém.
Output: | Ha anche un soprannome, l'ormone delle coccole, perché viene rilasciato quando abbracciate qualcuno. | 1 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.11293362081050873,
1.3034512996673584,
-0.20522424578666687,
-0.09658816456794739,
0.0666593462228775,
-0.6337167024612427,
-0.7540920972824097,
1.5939006805419922,
-0.4898644983768463,
-0.05267000198364258,
-0.539705753326416,
0.1940385103225708,
-0.15176574885845184,
-0.32769036293029... |
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 will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. 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 achieves PersonX's ___ by means<sep>Tail: none | No | 0 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.31551820039749146,
0.30409640073776245,
0.328264057636261,
-0.3215695023536682,
-0.6415730714797974,
-0.5463488101959229,
1.4956727027893066,
0.5271016359329224,
-0.47749099135398865,
-0.39913851022720337,
-0.5878795385360718,
-0.3858352601528168,
-0.7535753846168518,
0.173533633351326,
... |
You will be given a definition of a task first, then some input of the task.
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Whose law made rest associated with no physically indistinguishable from zero constant velocity?
Output: | Whose law made rest physically indistinguishable from zero constant velocity? | 1 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt | [
-0.9530543088912964,
1.077760934829712,
0.3228895366191864,
-0.13947562873363495,
-0.5568822026252747,
0.12507806718349457,
0.9348728656768799,
0.6664714813232422,
0.6598477363586426,
-0.3104817569255829,
-0.6784358024597168,
-0.4449513852596283,
-0.704373300075531,
-0.29970651865005493,
... |
Teacher:Your task is to localize given English phrase into Hindi language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But only partial translation or only partial transliteration is not allowed (5) Copy special characters and numbers as is
Teacher: Now, understand the problem? Solve this instance: Image histogram adjust curves plugin for digiKam
Student: | डिज़ीकैम के लिए इमेज़ हिस्टोग्राम एडजस्ट कर्व्स प्लगइन | 6 | NIv2 | task877_kde4_translation | zs_opt | [
-0.5624783039093018,
0.09588310867547989,
1.0319468975067139,
-0.05481080710887909,
0.06447012722492218,
-1.01962411403656,
0.35446709394454956,
0.5289586782455444,
-0.20798423886299133,
-0.7283816337585449,
-0.4759255647659302,
-0.17085476219654083,
-0.4236909747123718,
0.422630250453949,... |
You will be given a definition of a task first, then some input of the task.
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'.
Problem: tom traveled the entire 100 miles trip . if he did the first 50 miles of at a constant rate 20 miles per hour and the remaining trip of at a constant rate 50 miles per hour , what is the his average speed , in miles per hour ?
Options: a ) 28.36 mph , b ) 26.55 mph , c ) 28.57 mph , d ) 25.56 mph , e ) 28.45 mph
Output: | c | 1 | NIv2 | task1422_mathqa_physics | zs_opt | [
0.21463708579540253,
0.19750526547431946,
0.3161188066005707,
0.049410246312618256,
0.024962712079286575,
-0.5752753019332886,
0.3408668339252472,
0.6063735485076904,
-0.15832948684692383,
0.022135566920042038,
-0.5345442295074463,
-0.2183142751455307,
0.25317373871803284,
-0.5577614307403... |
In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.
Example: He poured out his to heart God, and after a few minutes the need left him, for a while anyway.
Example solution: Inversion
Example explanation: "heart" and "to" have been inverted.
Problem: Surveying the menu I found only three salads.
| Solution: Original | 5 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.38009992241859436,
0.5362870693206787,
0.46557891368865967,
0.12905515730381012,
-0.04320748895406723,
-0.12269754707813263,
0.9914111495018005,
0.3684252202510834,
0.22615310549736023,
-0.4863879978656769,
-0.7843205332756042,
-0.5404260158538818,
-0.7724395990371704,
-0.11656656116247... |
Detailed Instructions: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Problem:And they took them out of the midst of the tent, and brought them unto Joshua, and unto all the children of Israel, and laid them out before the LORD.
Solution: | وایشان را امر فرموده، گفت: «اینک شما برای شهردر کمین باشید، یعنی از پشت شهر و از شهربسیار دور مروید، و همه شما مستعد باشید. | 8 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
0.6090320348739624,
1.0874617099761963,
-0.9673709273338318,
0.05005418136715889,
-1.014920949935913,
-0.4668876528739929,
0.9819066524505615,
0.1699415147304535,
0.634253978729248,
0.11035706847906113,
-0.059145037084817886,
1.0560798645019531,
-0.9433704018592834,
-0.2678890824317932,
... |
Teacher:In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Teacher: Now, understand the problem? Solve this instance: Edges Usually refers to the _ outside edges of the pages of a book.
Student: | three | 6 | NIv2 | task672_nummersense | zs_opt | [
-0.17663165926933289,
0.5847114324569702,
0.09377238154411316,
-1.5825790166854858,
-0.2761539816856384,
0.06910079717636108,
1.226968765258789,
0.749811053276062,
0.10359876602888107,
-0.7275119423866272,
-0.5903911590576172,
-0.1368139684200287,
-0.9479086399078369,
0.12601494789123535,
... |
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