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 |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then some input of the task.
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Your sentence should be grammatically and syntactically correct. Also stick to the context of the given story. For example, if the story talks about "doctors", you can talk about "health" or "diagnosis", but don't mention "aliens". Avoid introducing any extra/irrelevant information, and use names instead of pronouns (e.g. he / she) wherever possible. Avoid simply negating the original middle, for example: "She likes cakes." is changed to "She doesn't like cakes."
Beginning: Ava got her navel pierced. Middle: Ava's friend did it for her. A few days later her naval became infected. Ending: Ava had to tell her mom so her mom could help her.
Output: | Ava's friend did it for her. A few days later, Ava passed away. | 1 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.41628679633140564,
-0.0962136834859848,
0.30757731199264526,
0.26582619547843933,
0.22596193850040436,
0.062017641961574554,
0.09179076552391052,
0.8889304399490356,
-0.2424507737159729,
-0.1108299195766449,
-0.2793847918510437,
-0.10548277199268341,
-0.12088838219642639,
-0.612769842147... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Let me give you an example: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
The answer to this example can be: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
Here is why: The Hebrew sentence is correctly translated into Arabic, because the meaning is preserved.
OK. solve this:
וכך מהירות האימוץ של הדברים האלה רק עומד להאיץ מאוד, בדרך שאנחנו פשוט לא יכולים לקלוט, כשאתם מביאים אותה ל 6.3 מיליארד והגידול באוכלוסיית העולם.
Answer: | لذا فإن سرعة تبني الأشياء ستصبح أكثر سرعة بطريقة لا يمكننا تصورها ، عندما تصل 6.3 بلايين شخص خليويًا وهم في تزايد مستمر. | 8 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.41534924507141113,
0.9239093065261841,
0.16350872814655304,
-0.4744710326194763,
-0.8101851940155029,
0.2964123487472534,
0.7014719843864441,
0.2999558448791504,
0.3997341990470886,
-0.49791938066482544,
-1.3811283111572266,
0.2484104335308075,
-0.9266835451126099,
0.16402629017829895,
... |
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.
Ex Input:
No wonder she'd been sent back to earth under such vile circumstances this time.
Ex Output:
Original
Ex Input:
A man was coming at me, at I him, to kill.
Ex Output:
Inversion
Ex Input:
I needed to put on a brave face for Lucy.
Ex Output:
| Original
| 1 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.8739360570907593,
0.3941195607185364,
0.25524136424064636,
0.07377259433269501,
-0.284168004989624,
-0.1761929839849472,
0.6164199709892273,
0.3381308317184448,
0.6255155205726624,
0.040305592119693756,
-1.2571913003921509,
-0.3153865933418274,
-0.3513328433036804,
0.05380059406161308,
... |
A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+4, the weights are: 2,3,4. You can present a polynomial with the list of its weights, for example, equation weights = [6, 4] represent the equation 6x + 4 and equation weights = [1, 3, 4] represent the equation 1x^2 + 3x + 4. In this task, you need to compute the result of a polynomial expression by substituing a given value of x in the given polynomial equation. Equation weights are given as a list.
x = 8, equation weights = [6, 5, 2] | 426 | 0 | NIv2 | task090_equation_learner_algebra | zs_opt | [
0.25318288803100586,
0.8147004842758179,
-0.6608883142471313,
-0.6733084917068481,
-0.4375157356262207,
-0.33339452743530273,
1.1441185474395752,
0.6291921734809875,
-0.0539909228682518,
-0.9599659442901611,
-0.6375513076782227,
0.8373603820800781,
-0.9639241099357605,
0.06384958326816559,... |
Definition: In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Input: Passage: Wiley was the Republican candidate for governor of Wisconsin in 1936, but his bid failed. Philip La Follette and the new Wisconsin Progressive Party, which split from the Republicans in 1934, won the election. In 1938, Wiley was elected to the U.S. Senate by defeating incumbent F. Ryan Duffy. In 1944, he was challenged by United States Marine Corps Captain Joseph R. McCarthy in the Republican primary. He defeated McCarthy and won the general election. Wiley, then an isolationist in foreign policy, and Governor Walter S. Goodland supported Republican presidential nominee Thomas E. Dewey in the 1944 race over incumbent Franklin D. Roosevelt, and Dewey won Wisconsin's electoral votes but fell far short nationally.
Link Information: Walter Samuel Goodland (December 22, 1862March 12, 1947) was an American politician and the 31st Governor of Wisconsin. Question: Who many yeards did Walter S. Goodland serve as governor of Wisconsin?
Output: | Answer: 5 | 2 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
-0.6107167601585388,
0.1657654494047165,
0.039339449256658554,
0.5430648922920227,
0.14554694294929504,
-0.4614872634410858,
-0.24235975742340088,
0.13323727250099182,
0.45719289779663086,
0.17756542563438416,
-0.4738731384277344,
0.2214585691690445,
0.23106446862220764,
-0.092656888067722... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
See one example below:
Problem: Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had not been in the store.
Solution: Tom had gone inside the store and now has fruit.
Explanation: Tom must have been inside the store to come out, and have fruit, so the altered sentence aggrees with sentence 1.
Problem: Sentence 1: There are young men playing a game of football, one man has been tackled by another player. Sentence 2: Men are playing soccer in the field.
Solution: | guy gets tackled | 4 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
-0.14182764291763306,
0.6871945858001709,
0.07865411043167114,
-0.5748049020767212,
0.05055881664156914,
-0.5333974361419678,
-0.2024373710155487,
0.3856748640537262,
0.4882742762565613,
-0.40025314688682556,
-0.8943610191345215,
-0.21484780311584473,
-0.6603003740310669,
-0.16997294127941... |
You will be given a definition of a task first, then some input of the task.
You are given a statement written in Gujarati. 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: પુનાદ્રા (તા. દહેગામ) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના મધ્ય ભાગમાં આવેલા ગાંધીનગર જિલ્લામાં આવેલા કુલ ૪ (ચાર) તાલુકાઓ પૈકીના એક એવા દહેગામ તાલુકામાં આવેલું એક ગામ છે. પુનાદ્રા ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે ઘઉં, બાજરી, કપાસ, દિવેલી તેમ જ શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: પંચાયતઘર
Option B: ભારત
Option C: આંગણવાડી
Option D: સિટીગ્રુપ
Output: | ભારત | 1 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
0.3470992147922516,
0.8763514161109924,
-0.019955135881900787,
-0.11540073901414871,
-0.07850052416324615,
-0.224295973777771,
0.2567659616470337,
1.2388889789581299,
-0.39405691623687744,
0.07836483418941498,
-0.6605510115623474,
0.6954836845397949,
-0.05454011261463165,
-0.76471346616745... |
Teacher:Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provides more information about the story's context and the story's general plot. The original ending is the last three sentences of the story. Also, a counterfactual context is a slight modification to the initial context. You should write a new story ending that edits the original story ending as little as possible to regain coherence with the counterfactual context. To sum up, you should write the last three sentences of a story based on the premise(first sentence) and the counterfactual context(second sentence) of the story.
Teacher: Now, understand the problem? Solve this instance: Premise: Sarah noticed that there were many birds around her back yard.
Initial Context: She decided to purchase a bird feeder.
Original Ending: At first there were not many birds at the bird feeder. Sarah used a different type of bird seed. The new bird seed attracted many birds and even squirrels!
Counterfactual Context: She decided to purchase a bird trap.
Student: | At first there were not many birds in the trap. Sarah used a different type of trap. The new trap caught many birds and even squirrels! | 6 | NIv2 | task269_csrg_counterfactual_story_generation | zs_opt | [
0.8058229684829712,
0.17976996302604675,
-0.22138234972953796,
0.15055781602859497,
0.13251222670078278,
-1.2626715898513794,
0.21598754823207855,
1.4992995262145996,
-0.6171540021896362,
-0.12713947892189026,
-0.35010838508605957,
-0.1526164710521698,
-0.7054188847541809,
-0.1141455993056... |
Definition: This task is about translating a given Spanish language sentence to English.
Input: Vayamos al grano, de acuerdo?
Output: | Vayamos al grano, de acuerdo? | 2 | NIv2 | task1692_qed_amara_translation | zs_opt | [
0.17920351028442383,
0.5963327884674072,
0.21885012090206146,
0.030962640419602394,
-0.5053108930587769,
-0.38578885793685913,
-0.16598093509674072,
0.6138537526130676,
0.32024264335632324,
0.013049663975834846,
-0.5877793431282043,
-0.08347474783658981,
-0.5834981203079224,
0.143684476613... |
Given the task definition and input, reply with output. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
どちらにしましょうか
| Which one is it? | 5 | NIv2 | task1222_ted_translation_ja_en | zs_opt | [
-0.42655670642852783,
0.7255878448486328,
0.5233665704727173,
-0.04138363152742386,
-0.04479677975177765,
0.32865211367607117,
0.23372292518615723,
-0.4293414354324341,
0.3690813481807709,
-0.19397106766700745,
-0.3090507388114929,
0.3022967278957367,
-0.5293213129043579,
0.158416450023651... |
You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
Example input: concept: Cleveland Ohio answers: ['North American Eastern Time Zone']
Example output: what time zone am i in cleveland ohio?
Example explanation: The output is correct based on the information available on the web. Because the time zone is the answer to the question about the concept.
Q: concept: Rob Kardashian answers: ['Rita Ora']
A: | who is rob kardashian dating now 2012? | 3 | NIv2 | task1602_webquestion_question_genreation | fs_opt | [
-0.15947411954402924,
0.5538895726203918,
-0.367019921541214,
0.3805365562438965,
-0.43370509147644043,
-0.6688212752342224,
0.1766287386417389,
0.6959631443023682,
0.3738858699798584,
-0.2644248604774475,
0.02111404575407505,
-0.03376391530036926,
-0.5024615526199341,
-0.22922104597091675... |
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closest option. Note that URLs in the text have been replaced with [Link].
[Q]: Chairman says weak dollar, one-off costs have hit group HONG KONG (CBS.MW) -- British pest control and office services group Rentokil warned investors Tuesday to expect weaker results next year and said 2004 profit would be hurt by the soft US dollar and one-off costs.
[A]: Business
[Q]: Florida Panhandle Braces for Latest Storm, Hurricane Ivan Residents boarded up windows and stocked food as deadly Hurricane Ivan appeared to be heading in their direction.
[A]: World
[Q]: Bucs Trade Keenan McCardell to Chargers Tampa Bay Buccaneers wide receiver Keenan McCardell (87) makes a catch as Jacksonville Jaguars #39; Rashean Mathis watches during the third quarter in this Nov. 30, 2003 file photo, in Jacksonville, Fla.
[A]: | Sports
| 5 | NIv2 | task379_agnews_topic_classification | fs_opt | [
0.27543824911117554,
0.3518878221511841,
-0.15490645170211792,
0.2755696475505829,
0.011421007104218006,
0.39322584867477417,
-0.2438051700592041,
0.42909571528434753,
-0.1743580847978592,
-0.05194399133324623,
-0.6525776386260986,
0.01906944066286087,
-0.07249610126018524,
-0.026252202689... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications of each category:
1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows
2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows
3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows
4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows
5. Comparative: Comparing two rows in the table, regarding their values in one column
6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows
7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows.
Here are the definitions of logical operators for understanding of command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
round_eq { avg { all_rows ; ratings } ; 15.7 % }
Output: | aggregation | 1 | NIv2 | task212_logic2text_classification | zs_opt | [
0.08335351943969727,
-0.3950398862361908,
-0.2491680234670639,
0.4498124122619629,
0.5952206254005432,
-0.38056811690330505,
0.824393630027771,
0.597338080406189,
0.27456164360046387,
0.030702747404575348,
0.004530459642410278,
-0.004938233643770218,
-0.016608823090791702,
0.61594122648239... |
In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Q: Text: first off, i'm from bulgaria. and i'm drunk currently. and high.
this happened like an hour ago or something. i don't know really. don't ask me, but it was a very recent event.
my father owns a nightclub in a small town.
my father invited me to his birthday party at his club. it's kind of a bar but i can't really categorize it. jazz musicians come, so my father calls it a piano bar. i went there after smoking weed with some friends who refused to come with me, saying they would feel awkward. i was drinking wine, whiskey, vodka quite carelessly while being bored with all the middle-aged men who were there.
so i invited a guy one year my junior from high school to the party. my father said it was ok for him to come. he came, and we had a lot of fun just drinking and listening to good music. a lot of stuff happened that night. i made out with a random slutty girl who worked for my father (waitress in his cafe) had a pretty face but i noticed she was fat. i even wanted to fuck her for a moment. i don't know what was i thinking.
so my father told me he wanted to smoke with me. a friend of his also told me the same. so i knew that had to happen [second smoke with father, first time was when he had a baby with his girlfriend (half-brother)]. they gave me 25 bucks and i got some weed at 2 am from some shady guy that i don't even trust. i don't know why the fuck did i do that either, maybe cuz i'm a fucktard.
so i went there with a cab and gave the cabbie 5 bucks for the whole ride. and the guy who i was getting the weed from - i gave him 20 bucks for like, 0.7. i was annoyed but i told him that he had to smoke me out tomorrow. then i went back to my father's bar. this whole time i was with my friend, who was acting perfectly normal.
i smoked with my father and his friends. my guy smoked also. he was way too fucked up and was laughing a lot. my father's mate asked me if he was going to be alright. i said: "yeah he's just a little dizzy, that's all." suddenly, he started looking downwards. i instantly knew something was wrong. he just started puking. on the fucking floor. in the bar. i was fucked. really, that was shit. exactly what i thought. what the fuck did just happen.... i quickly told my father: "hey, something's wrong with my friend". he was surprised and saw my friend just falling down like a ragdoll. poor guy was really fucked up. he drank a lot + weed - bad combination.
we dragged him to the bathroom, along with a woman who smoked with us. some friend of my father's. she was talking gently the whole time to him. "my child" and shit. soothing him. i was really worried and i just saw the disappointment in my father's eyes. i had fucked up. we gave him water and he just livened up a little. we dragged him to some seats in the bar and he just laid there for 10 minutes. i had a really deep chat with a friend of my father right there. i was really worried, and i accepted that i made a mistake. he suddenly woke up and started talking. we went outside, just the two of us. we told each other a lot of stuff. the cab took us and we got him home. really fucked up situation. i went back home and i saw my father getting ready for bed. he said he was feeling really bad. now he is going to think that weed causes bad emotions. i tried to explain to him that the thing that happened to the boy was normal and every teenager goes through this, but he wouldn't have any of it. the weed amplified the bad experience me and my father both went through. this ruined his whole night. i fucked up by doing this.
A: TIFU by inviting a guy one year my junior to my dad's birthday party
****
Q: Text: had some sheets to clean so i was going to toss them in the washer, saw my roommates wet clothes in there so i put them in the dryer on air dry. roommate comes home and tells me i've ruined his clothes and have been ruining his clothes for months! why was i never told?! i feel like shit now.
A: TIFU by doing laundry
****
Q: Text: this happened this morning. the past two weeks my area has been hit with snow and ice so school has been out for 2 weeks. over time it has become a little boring. yesterday while at wal-mart, i passed by a can of octopus meat and decided to give it a shot on video since the meat in my diet is 80% chicken, 20% beef and pork.
this morning i woke up and my family members had left to do their separate errands. i was home alone. this is not an uncommon sunday occurrence so i figured i should do the video now. i open the can and the composition of the air must have changed. bye bye 78% nitrogen. it smells kind of like a puffin/artic bird zoo exhibit that had been abandoned by humans. i go on and do my video and show my expressions.
this is where shit gets messy.
i then remember my gf saying that i should try to fry it. i've fried stuff before but they've always smell nice if anything so i didn't think twice about it. you know how they say never fry bacon without a shirt on? never fry octopus without a hazmat suit. they are like jumping time bombs. then i hear something that i didn't expect for at least another hour: the garage door opening and mom coming in. remember that pungent smell i described earlier? it amplified many times once in my pan.
she walked in, dropped the groceries and vomited on the spot, making her way to the back door creating a dotted line of puke until she was dry heaving. i rushed to throw the can outside and any other cephalopod parts i had. i cleaned up her vomit. she was rather upset, but we then went out to lunch.
A: | TIFU by trying canned octopus
****
| 4 | NIv2 | task510_reddit_tifu_title_summarization | fs_opt | [
0.3838023841381073,
0.28915515542030334,
-0.44511252641677856,
-0.7598442435264587,
0.3011229634284973,
-0.0008052140474319458,
1.2327122688293457,
0.9398971796035767,
0.5514259934425354,
0.14298740029335022,
-0.26761001348495483,
0.060361262410879135,
-1.096792459487915,
0.154585227370262... |
Given the task definition and input, reply with output. You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
System Reference: x is an indian restaurant in the x area near x.
Original Reference: x is a restaurant in x near x and it serves indian food.
| 1 | 5 | NIv2 | task1186_nne_hrngo_classification | zs_opt | [
-0.909076452255249,
0.9500832557678223,
0.09550365805625916,
0.30338436365127563,
-0.8281303644180298,
0.03553468734025955,
0.7482483386993408,
0.7863702774047852,
0.03763321787118912,
-0.44027915596961975,
-0.30582642555236816,
-0.25673240423202515,
-0.6772647500038147,
-0.107148580253124... |
Detailed Instructions: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns whether there is exactly one row in the view
3. hop: returns the value under the header column of the row
4. and: returns the boolean operation result of two arguments
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column
6. nth max/nth min: returns the n-th max/n-th min of the values under the header column
7. argmax/argmin: returns the row with the max/min value in header column
8. nth argmax/nth argmin: returns the row with the n-th max/min value in header column
9. eq/not eq: returns if the two arguments are equal
10. round eq: returns if the two arguments are roughly equal under certain tolerance
11. greater/less: returns if argument 1 is greater/less than argument 2
12. diff: returns the difference between two arguments
13. filter eq/not eq: returns the subview whose values under the header column is equal/not equal to argument 3
14. filter greater/less: returns the subview whose values under the header column is greater/less than argument 3
15. filter greater eq /less eq: returns the subview whose values under the header column is greater/less or equal than argument 3
16. filter all: returns the view itself for the case of describing the whole table
17. all eq/not eq: returns whether all the values under the header column are equal/not equal to argument 3
18. all greater/less: returns whether all the values under the header column are greater/less than argument 3
19. all greater eq/less eq: returns whether all the values under the header column are greater/less or equal to argument 3
20. most eq/not eq: returns whether most of the values under the header column are equal/not equal to argument 3
21. most greater/less: returns whether most of the values under the header column are greater/less than argument 3
22. most greater eq/less eq: returns whether most of the values under the header column are greater/less or equal to argument 3
Problem:and { only { filter_eq { all_rows ; team name ; eng makers } } ; eq { hop { filter_eq { all_rows ; team name ; eng makers } ; season } ; 2006 } } = true
Solution: | select the rows whose team name record fuzzily matches to eng makers . there is only one such row in the table . the season record of this unqiue row is 2006 . | 8 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.1342700719833374,
-0.017454994842410088,
-0.40381917357444763,
0.2741055488586426,
-0.04247637838125229,
-0.5581926107406616,
0.3438154458999634,
0.7253110408782959,
-0.11011332273483276,
-0.20851173996925354,
-0.45534825325012207,
-0.05797073245048523,
0.16888122260570526,
0.41067087650... |
Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
Q: if thats what it takes. What is the REAL issue here? Most likely it's race!!! Keep it real.......
A: Yes
****
Q: So a stupid 18-year-old does something stupid. No actual harm was done but this stupid kid will be labeled felon, put on a sex offender list, and condemned to sit on street corners for the rest of his life because he can't get past the background checks jobs require.
We are very wise, aren't we?
A: Yes
****
Q: This sounds rather like the apocryphal story of the Texas coroner who said the corpse with 43 gunshots to the back was "the worst case of suicide he'd ever seen".
Who filed the initial report with Harney County?
A: | Yes
****
| 4 | NIv2 | task1722_civil_comments_threat_classification | fs_opt | [
-0.22867462038993835,
0.6539683938026428,
0.7515673041343689,
-0.21433168649673462,
-0.2849591076374054,
-0.31553828716278076,
0.34588658809661865,
0.8755992650985718,
0.039915721863508224,
0.0920834168791771,
0.07985334098339081,
0.33214980363845825,
-0.17768804728984833,
-0.2878211438655... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Arabic.
See one example below:
Problem: (Applause) However there is a political battle in our country.
Solution: (تصفيق) ومع ذلك هناك معارك سياسية في بلدنا.
Explanation: The English sentence is correctly translated into Arabic, because the meaning is preserved.
Problem: His corneas would go to Schepens Eye Research Institute, which is part of Harvard Medical School, and his retinas would go to the University of Pennsylvania.
Solution: | وقرنيته ستذهب إلى معهد تشيبنس لأبحاث العيون ، وهو جزء من كلية الطب بجامعة هارفارد ، وشبكية العين ستذهب إلى جامعة بنسلفانيا | 4 | NIv2 | task1220_ted_translation_en_ar | fs_opt | [
0.3114653527736664,
0.6018231511116028,
0.6887974739074707,
-0.9859639406204224,
0.11975310742855072,
-0.33865925669670105,
0.3244275450706482,
-0.2427847683429718,
0.5259455442428589,
0.18486256897449493,
-0.6615352630615234,
0.2287757694721222,
-0.6459459662437439,
0.11794109642505646,
... |
Given the task definition, example input & output, solve the new input case.
A text is given in Malayalam. Translate it from the Malayalam language to the Urdu language. The translation must not omit or add information to the original sentence.
Example: اس کے تحت اس عمل کو قابل سزاعمل بنانے کی بھی تجویز ہے ،جس کے تحت تین برسوں تک کی قیداور جرمانہ عائد کیاجائیگا ۔
Output: ഇതിന് കീഴിൽ, സാധുവായ ശിക്ഷ നൽകാനും നിർദ്ദേശിക്കപ്പെടുന്നു, അതിൽ മൂന്ന് വർഷം തടവുകാരനായിരിക്കും.
Correct translation for given sentence. Input sentence means 'Under this, it is also suggested to make a valid punishment, under which three years will be prisoner.' which is the same as the output sentence.
New input case for you: اس سے قبل وزیر اعظم کا لکھنؤ میں استقبال کرتے ہوئے اتر پردیش کے وزیر اعلیٰ یوگی آدتیہ ناتھ نے کہا کہ یوگا ہماری روایات کا ایک حصہ ہے اور یہ ہمیں متحد رکھتا ہے ۔
Output: | നേരത്തെ പ്രധാനമന്ത്രിയെ ലക്നൗവിലേയ്ക്ക് സ്വാഗതം ചെയ്തുകൊണ്ട് യോഗയെന്നത് നമ്മുടെ പാരമ്പര്യത്തിന്റെ ഭാഗാമാണെന്നും അത് നമ്മെ സംയോജിപ്പിക്കുമെന്നും ഉത്തര്പ്രദേശ് മുഖ്യമന്ത്രി ശ്രീ. | 1 | NIv2 | task1060_pib_translation_urdu_malayalam | fs_opt | [
-0.8885031342506409,
0.9517358541488647,
-0.3998309373855591,
-0.18025606870651245,
0.16586986184120178,
-0.11899968236684799,
0.484284907579422,
0.50555020570755,
0.17268019914627075,
-0.20747010409832,
-0.14851921796798706,
0.6262977123260498,
-0.12631863355636597,
-0.25095343589782715,
... |
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn the fact into a question - easy! Don't just randomly remove a word from the given fact to form a question. Remember that your question must evaluate scientific understanding. Pick a word or a phrase in the given fact to be the correct answer, then make the rest of the question. You can also form a question without any WH words. For example, "A radio converts electricity into?"
One example: Fact: pesticides can harm animals.
Solution is here: What can harm animals?
Explanation: It's a good question because it is formed by simply replacing the word "pesticides" with "what".
Now, solve this: Fact: Information for protein sequences is our DNA.
Solution: | What information is in our DNA? | 6 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.1507100909948349,
0.8099422454833984,
0.015128128230571747,
-0.17209266126155853,
-0.9345663785934448,
-0.9343917369842529,
0.7756626605987549,
0.7839877605438232,
0.12300879508256912,
-0.20491907000541687,
-1.702590823173523,
0.42141467332839966,
-0.3562936782836914,
0.1461644172668457,... |
Part 1. Definition
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output.
Part 2. Example
jump left
Answer: I_TURN_LEFT I_JUMP
Explanation: The agent must first turn left and then jump in order to jump to the left.
Part 3. Exercise
look around right twice and look around right thrice
Answer: | I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK | 7 | NIv2 | task130_scan_structured_text_generation_command_action_long | fs_opt | [
0.08837932348251343,
0.6110045909881592,
-0.3854351043701172,
-0.1284225732088089,
0.3611488342285156,
0.17854267358779907,
0.5661821961402893,
0.11271434277296066,
-0.18509289622306824,
-0.34649693965911865,
-0.986728310585022,
-0.23155315220355988,
-0.8337010741233826,
-0.172387391328811... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Q: Relationship: 'run on', Argument/Subject 1: 'software', Argument/Subject 2: 'macintosh'
A: | Software runs on Windows and Macintosh platfor... | 4 | NIv2 | task677_ollie_sentence_answer_generation | zs_opt | [
-0.3373813331127167,
0.742741584777832,
-0.00042422895785421133,
0.14041273295879364,
-0.7689924240112305,
-0.018233267590403557,
-0.2513882517814636,
0.6422896385192871,
1.1218361854553223,
-0.5294675827026367,
-0.12134756147861481,
-0.31677675247192383,
-0.24006429314613342,
-0.054541200... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Q: Isto é o que eu penso.
A: | هذا ما أعتقد. | 9 | NIv2 | task1277_ted_translation_pt_ar | zs_opt | [
0.06810405850410461,
0.4574332535266876,
0.008735526353120804,
-0.4339613914489746,
-0.3064180612564087,
-0.3313509523868561,
0.8432704210281372,
0.629804253578186,
1.1715863943099976,
0.08513209223747253,
0.13845369219779968,
0.08923614025115967,
-0.7478736639022827,
0.11642301082611084,
... |
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.
Input: Consider Input: Comment: The Salem football team calls themselves "Open Womb III"? Do they ever play the "Penile Subincisions"? I hear they're a bang to watch.
Output: Sexual-explicit
Input: Consider Input: Comment: Hey, uh, Graybeard? Hhhmmmm watcha saayy?
Output: Non-sexual-explicit
Input: Consider Input: Comment: You can stick your dick up anyone's butt. Why have any laws at all?
| Output: Sexual-explicit
| 2 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.8574865460395813,
-0.14343762397766113,
0.0668032094836235,
0.2764434814453125,
0.09395833313465118,
-0.11644908040761948,
-0.09951876848936081,
0.6116260290145874,
0.1563873589038849,
0.6405405402183533,
0.019229009747505188,
0.07946398109197617,
-0.28820639848709106,
-1.16057014465332... |
instruction:
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
question:
85845
answer:
No
question:
3717
answer:
No
question:
67775
answer:
| No
| 9 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.3288183808326721,
0.5300000309944153,
0.09313341975212097,
-0.2768893837928772,
-0.5890735387802124,
-0.1926381140947342,
0.7931646108627319,
0.6981894969940186,
0.03448810428380966,
0.21392041444778442,
-0.9822055101394653,
-0.34678083658218384,
-0.36802390217781067,
-0.258899450302124... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Input: Consider Input: Sentence 1: A small group of soccer players are on a soccer field standing around while a player is looked at for injuries. Sentence 2: A group of soccer players are standing in a soccer field.
Output: C
Input: Consider Input: Sentence 1: Two people standing in front of a yellow building with a painted mural of an athlete, a rock group, and graffiti. Sentence 2: The two people are outdoors.
Output: C
Input: Consider Input: Sentence 1: Tourists are taking pictures in china. Sentence 2: Tourists are taking pictures while hanging off the Great Wall of China.
| Output: N
| 2 | NIv2 | task190_snli_classification | fs_opt | [
-0.37494897842407227,
0.6654364466667175,
-0.09877816587686539,
-0.24789400398731232,
0.05235595256090164,
-0.5185198783874512,
-0.41640594601631165,
0.5901848673820496,
0.605109691619873,
-0.03903461620211601,
-0.04481876641511917,
-0.15090197324752808,
0.26150456070899963,
-0.34873169660... |
Teacher:In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Teacher: Now, understand the problem? Solve this instance: Step 1: find the number of rows of each value of Station_ID in station table.
Step 2: find Name, Main_Services of station table ordered descending by the results of step 1.
Step 3: only show the first 3 rows of the results
Student: | SELECT Name , Main_Services FROM station GROUP BY Station_ID ORDER BY Count ( * ) Desc LIMIT 3 | 6 | NIv2 | task077_splash_explanation_to_sql | zs_opt | [
0.690139889717102,
0.3098626732826233,
-1.042165756225586,
0.387045681476593,
-0.2038995921611786,
-0.28405454754829407,
0.7513514757156372,
1.0065670013427734,
-0.413957804441452,
0.5175461769104004,
0.2635694146156311,
0.368985652923584,
0.041923508048057556,
0.22382253408432007,
0.254... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
(Frecuencia más alta) Cada vez que encontramos una resonancia, obtenemos una onda estacionaria y esta curva sinusoidal que emerge del fuego.
Output: | (Frequenza più alta) Per cui ogni volta che tocchiamo una frequenza risonante otteniamo un'onda stazionaria e quella curva sinusoidale del fuoco. | 1 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
-0.822284996509552,
1.1450071334838867,
-0.14901334047317505,
-0.1449633538722992,
-0.175312802195549,
-0.02963608130812645,
0.6597187519073486,
0.9000149369239807,
-0.07478134334087372,
-0.19115494191646576,
-0.049535855650901794,
-0.43619972467422485,
-0.48200488090515137,
0.300046622753... |
Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
[Q]: Love it i have a samsung galaxy 4 phone that has the same case. Now they match!
[A]: Positive Review
[Q]: Save your money. Short battery life is only the start. Cant connect to internet,cant read game names do th I cant read Chinese. This thing is JUNK!
[A]: Negative Review
[Q]: Recieved it hooked it up, works great, My relatives ordered this just after i received it and theirs is working great two. saved money with amazon prime, Good deal
[A]: | Positive Review
| 5 | NIv2 | task1343_amazon_us_reviews_rating | fs_opt | [
-0.029060740023851395,
0.6662128567695618,
-0.16183432936668396,
-0.9934971928596497,
0.28294190764427185,
-0.48402076959609985,
0.8324097394943237,
0.11605838686227798,
0.15833859145641327,
0.6545959711074829,
0.10479399561882019,
0.20471036434173584,
0.011119311675429344,
-0.239804208278... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.
Example: Question: A 13-year-old girl is operated on due to Hirschsprung illness at 3 months of age. Which of the following tumors is more likely to be present?
Options: <1> Abdominal neuroblastoma <2> Wilms tumor <3> Mesoblastic nephroma <4> Familial thyroid medullary carcinoma.
Output: 2
The answer to the given question should be a tumor, therefore Wilms tumor is the correct answer for the given question.
New input case for you: Question: What disease would we suspect in a young patient who reported a frequent history of dysphagia to solids and liquids with impaired food repeated, without clinical symptoms of pyrosis and in which multiple oral esophageal rings with normal mucosa (trachealized appearance) are observed in oral endoscopy?
Options: <1> Herpetic esophagitis. <2> Eosinophilic esophagitis. <3> Candidiasic esophagitis. <4> Cytomegalovirus esophagitis. <5> Adenocarcinoma of the esophagus.
Output: | 2 | 1 | NIv2 | task1431_head_qa_answer_generation | fs_opt | [
0.04810122027993202,
0.38874393701553345,
-0.23170161247253418,
0.2353389859199524,
0.17066793143749237,
0.28382664918899536,
0.3342461585998535,
0.6889727115631104,
-0.0528113916516304,
0.12503284215927124,
0.0012800158001482487,
0.28736168146133423,
0.029672779142856598,
-0.0847248286008... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
Input: Consider Input: 閃いたのです古い車のフロントガラスを持ってきてその後ろに紙をはり初めてのホワイトボードの代用品を作りました
Output: Então tivemos algumas ideias boas. Usamos o pára-brisas de um carro velho, pusemos papel por trás e construímos a primeira alternativa para o quadro branco.
Input: Consider Input: 両側にロウソクが立てられていたのでしょう
Output: Portanto, havia de ter velas de cada lado.
Input: Consider Input: 次に横軸を一人当たりGDPとします。
| Output: Isto é o PIB "" per capita "" neste eixo.
| 2 | NIv2 | task1099_ted_translation_ja_pt | fs_opt | [
-0.7101284265518188,
0.7445781230926514,
-0.4084303677082062,
-0.1828116625547409,
-0.5922556519508362,
-0.1048259288072586,
0.5135883092880249,
0.7653859257698059,
0.6128066778182983,
-0.5138164758682251,
-0.8303565979003906,
0.3534137010574341,
-0.4203869104385376,
0.22413212060928345,
... |
Teacher: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwise "No". Do not generate anything else apart from "Yes" or "No". The given sentence is incorrect if it changes the subsequent storyline, so that at least one of the three subsequent sentences form a consistent story.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence 1: The cashier was counting the dollar bills at her desk.
Sentence 3: Everyone panicked and started to scream.
Sentence 4: The men threatened the people to remain quiet.
Sentence 5: The cashier handed them the cash so they would go away.
Given Sentence 2: Two men rushed into the store and held their guns up.
Solution: Yes
Reason: People panic when somebody holds their guns up. Sentence 2 correctly connects Sentence 1 with rest of the story. So, the answer is 'Yes'.
Now, solve this instance: Sentence 1: Oliver was celebrating his birthday.
Sentence 3: He took the game to a video game store
Sentence 4: The owner said that he could trade his game for a new one
Sentence 5: So, he got a game that he had been wanting for awhile
Given Sentence 2: His grandmother told him a story about a lucky charm.
Student: | No | 2 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt | [
-0.18549561500549316,
0.05250177159905434,
-0.3152358829975128,
0.15553678572177887,
0.21611660718917847,
-0.5250970125198364,
-0.19419191777706146,
1.2916207313537598,
-0.010123821906745434,
-0.3255249857902527,
-0.011211180128157139,
-0.34115761518478394,
-0.7426680326461792,
-0.63003110... |
Instructions: In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Input: [96, 10, -60, -44, -50]
Output: | [10, -44, -50] | 3 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
0.0476045235991478,
-0.2497532069683075,
-0.7313435077667236,
-0.5034768581390381,
0.20751793682575226,
0.49184659123420715,
1.2572261095046997,
0.14645680785179138,
-0.5059770345687866,
0.30375662446022034,
-0.5481224060058594,
0.16774320602416992,
-0.013041412457823753,
-0.62127298116683... |
Teacher: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Mas o que são direitos humanos?
Solution: ولكن ماهي حقوق الإنسان ؟
Reason: The Portugese sentence is correctly translated into Arabic, because the meaning is preserved.
Now, solve this instance: E talvez então nos apercebamos de que as nossas grandes diferenças afinal não são assim tão grandes.
Student: | وبعدها ، ربما ، فقط ربما ، سنعي بأن أكبر اختلافاتنا ليست على هذا القدر من الاختلاف حقا. | 2 | NIv2 | task1277_ted_translation_pt_ar | fs_opt | [
0.1276635378599167,
0.3005290627479553,
0.5031806230545044,
-0.7627395391464233,
-0.7637661099433899,
-0.457830548286438,
0.7761605978012085,
0.426238089799881,
0.41148996353149414,
0.02374127507209778,
-0.6222796440124512,
-0.1804889738559723,
-1.0445325374603271,
-0.09198376536369324,
... |
Detailed Instructions: Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. An example of a chain is: "pesticides cause pollution" (fact1) + "pollution can harm animals" (fact2) → "pesticides can harm animals" (conclusion fact). Parts of the concluding fact overlap with the first and the second fact. To construct such a concluding fact, a useful way is to borrow the subject from one fact and the ending conclusions from another fact.
See one example below:
Problem: Fact1: pesticides cause pollution.
Fact2: pollution can harm animals.
Solution: pesticides can harm animals.
Explanation: This is a good concluding fact that is entailed from combining Fact1 and Fact2. Also, it does not contain everything present in Fact1 and Fact2.
Problem: Fact 1: threatening behavior causes a fight-or-flight response in animals.
Fact 2: If a pony feels threatened it can respond with aggressive behavior.
Solution: | aggressive behavior causes fight-or-flight responses. | 4 | NIv2 | task038_qasc_combined_fact | fs_opt | [
0.03137355297803879,
0.6213644742965698,
-0.8608680367469788,
0.18766403198242188,
-0.6169309616088867,
-1.1295065879821777,
-0.2574765086174011,
1.3538817167282104,
-0.48134809732437134,
0.04947091266512871,
-1.1251213550567627,
0.5797532796859741,
-0.4218596816062927,
-0.1206906959414482... |
You will be given a definition of a task first, then some input of the task.
Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
Surface tension comes from the fact that particles at the surface of a liquid do not experience interactions from all directions imbalance of forces leads to what on the surface.
Output: | Surface tension comes from the fact that particles at the surface of a liquid do not experience interactions from all directions which leads to what on the surface? | 1 | NIv2 | task1552_scitail_question_generation | zs_opt | [
0.190176323056221,
0.9694390296936035,
-0.4086264371871948,
-1.1623897552490234,
0.1229984387755394,
0.2138579934835434,
-0.10985603928565979,
0.4742206037044525,
0.4883752465248108,
-0.0937771424651146,
-0.00448434567078948,
0.4175916910171509,
-0.997972309589386,
0.026784807443618774,
... |
Teacher: In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Teacher: Now, understand the problem? If you are still confused, see the following example:
[[5, 1, 2, 7], [0, 4, 6, 6], [7, 8, 10, 3, 1], [1, 4]]
Solution: [70, 0, 1680, 4]
Reason: The second list had zero so the second product is zero. Every product is calculated correctly: 5x1x2x7= 70, 7x8x10x3x1=1680, 1x4=4.
Now, solve this instance: [[-10, -32, -27, -43], [24, -16], [34, 10, -37, 38], [8, 41, 36], [1, 12, 3, 43], [46, 18, 36, -8, -18], [3, -8, -20], [20, 34, -14], [3, 31, -40, 37], [-22, 46, 39, -39, -16]]
Student: | [371520, -384, -478040, 11808, 1548, 4292352, 480, -9520, -137640, -24628032] | 2 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.5447777509689331,
-0.16824224591255188,
-0.8678480982780457,
-0.5727508068084717,
0.48337024450302124,
-0.5554555654525757,
1.1541504859924316,
1.1150516271591187,
-0.535620391368866,
0.0735401064157486,
-0.6423824429512024,
0.07494119554758072,
-0.7407949566841125,
-0.3523608446121216,
... |
Part 1. Definition
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Part 2. Example
Question: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin? Passage: The group was occasionally diverted from strategic missions to carry out air support and interdiction missions. It supported Operation Overlord, the invasion of Normandy by attacking transportation targets, including bridges, along with airfields and strong points in France. On D Day, the squadron and the rest of the 446th Group led the first heavy bomber mission of the day. The 446th aided ground forces at Caen and Saint-Lô during July by hitting bridges, gun batteries, and enemy troops. During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen. It struck lines of communications during the Battle of the Bulge. During Operation Varsity in March 1945, it supplied ground and airborne troops near Wesel. The squadron flew its last combat mission on 25 April 1945 against Salzburg, Austria. The group had flown 273 missions and had lost 58 aircraft during the war,
.
Answer: During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen.
Explanation: The passage describes the 704th's actions during Operation Market Garden.
Part 3. Exercise
Question: What is the capacity of the venue where the Sugababes performed on 13 April 2007? Passage:The Sugababes performed "Caught in a Moment" on 12 August 2004 at the Bristol International Balloon Fiesta, which is one of Europe's biggest balloon festivals. The third-line up of the band, consisting of Buchanan, Range and Amelle Berrabah, performed "Caught in a Moment" at the Sheffield City Hall in March 2006 as part of their tour in support of Taller in More Ways (2005). According to Dave Simpson of The Guardian, the performance suggested that Berrabah "could trigger an unlikely shift into soul" for the group. The trio performed "Caught in a Moment" at the 100 Club, London on 3 October 2006 as part of a gig, which was in promotion of Overloaded: The Singles Collection. They performed the song as part of the Overloaded tour, and were seated on stools in the centre of the stage. With regard to their performance on 13 April 2007 at the Wembley Arena, London, Ben Rawson-Jones of Digital Spy commented: "Their epiphanic beauty was fully realised with the fragile, emotive nature of Heidi's voice and Keisha's powerful singing". "Caught in a Moment" appeared in the set list for the group's 2008 Change Tour. According to The Journals Kat Keogh, their performance at the Newcastle City Hall "displayed a confident shift from moody pop princesses to sassy Supremes-style harmony".
Answer: | With regard to their performance on 13 April 2007 at the Wembley Arena, London, Ben Rawson-Jones of Digital Spy commented: "Their epiphanic beauty was fully realised with the fragile, emotive nature of Heidi's voice and Keisha's powerful singing" | 7 | NIv2 | task234_iirc_passage_line_answer_generation | fs_opt | [
0.9822816848754883,
0.5730420351028442,
-0.9874897003173828,
-0.1123175248503685,
0.17657601833343506,
-0.8633278608322144,
1.0646591186523438,
0.6914852261543274,
0.23171262443065643,
0.4209022521972656,
-0.24115024507045746,
0.25556182861328125,
-0.03947209566831589,
0.03490370139479637,... |
Teacher:In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
Teacher: Now, understand the problem? Solve this instance: when did the united states enter the war in europe
Student: | April 6, 1917 | 6 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
-0.3201529383659363,
0.8708380460739136,
-0.14049065113067627,
0.247055783867836,
-0.339907705783844,
-0.8065526485443115,
1.1055811643600464,
0.8131716251373291,
0.4388226866722107,
0.07975086569786072,
-0.04557710513472557,
0.08366651087999344,
-0.13736259937286377,
-0.8549656271934509,
... |
Teacher: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Teacher: Now, understand the problem? If you are still confused, see the following example:
gocogccocco
Solution: gocog
Reason: The substring 'gocog' is the longest possible substring that is also a palindrome. So this is a good example.
Now, solve this instance: tttblbttbblbltl
Student: | ttblbtt | 2 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
-0.22024837136268616,
0.9387988448143005,
0.06212793290615082,
-0.20073336362838745,
0.0017899691592901945,
-0.7222135066986084,
0.8930235505104065,
-0.170821413397789,
-0.42332449555397034,
-0.19076043367385864,
-0.31363391876220703,
-0.16858848929405212,
-0.6642968654632568,
0.0057539413... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
One example: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
Solution is here: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
Explanation: The Hebrew sentence is correctly translated into Arabic, because the meaning is preserved.
Now, solve this: לפני שערכנו את הניסויים הראשונים, ביקשנו מהצוות של ארט קפלן, שהיה אז באונ 'פנסילבניה, לבחון עבורנו מהם הסיכונים, האתגרים, הנושאים האתיים הכרוכים ביצירת מין חדש בתנאי מעבדה, כי מעולם לא עשו זאת.
Solution: | قبل القيام بأول تجربة في الواقع سالنا فريق ارت كابلان ، التابع عندها لجامعة بنسلفنيا ، لمراجعة كل المخاطر والتحديات والاخلاق المتعلقة بصنع كائن حي جديد في المختبر لإنه لم يتم القيام بمثل هذا العمل سابقا. | 6 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.4389128088951111,
0.1786414086818695,
-0.2443886548280716,
-0.695879340171814,
-0.10825271159410477,
0.008557036519050598,
0.8262189030647278,
-0.31199201941490173,
0.3578299582004547,
-0.3938648998737335,
-1.2107905149459839,
-0.004910674877464771,
-0.46532517671585083,
0.0781809538602... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Problem:والفتاة الصغيرة التي تنشأ من اتحادهما بالطبع لن تكون كورية أو المانية أو فرنسية أو تايلاندية أو سكوتلانديه أو كندية أو حتى أمريكيه ، ولكن ستكون خليطاً رائعاً دائم الارتقاء من جميع هذه الأماكن.
Solution: | و این دختر کوچولو که ناشی از اتحاد این دو نفر است البته که نه کره ای ست و نه آلمانی و نه فرانسوی و نه تايلندی و یا نه اسکاتلندی و نه کانادایی و حتی آمریکایی هم نیست ، بلکه ترکیبی متحول شده ی فوق العاده و ماندگاری از همه این کشورهای ست. | 8 | NIv2 | task1108_ted_translation_ar_fa | zs_opt | [
0.5379340648651123,
0.4585382044315338,
-0.8351614475250244,
-0.35211145877838135,
-0.28135764598846436,
-0.1496027559041977,
0.23167183995246887,
0.5431636571884155,
0.36906012892723083,
0.15863029658794403,
-0.3372769355773926,
-0.04479344189167023,
-0.4685187339782715,
0.300860285758972... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Input: Consider Input: ما می توانیم این کار را انجام دهیم. » و او توقف کرد ، با نگاهی سرد و چشمانی بی اعتنا به من نگاه کرد ، و گفت: « هه! هیچ کس اهمیتی به کمک های خارجی نمی دهد » البته او از اصطلاح دیگری استفاده کرد! او ادامه داد.
Output: Possiamo farlo. "" Lui si prese una pausa, mi guardò con occhi freddi e sprezzanti e disse: "" Hugh, non frega a nessuno degli aiuti esteri. "" Solo che non ha usato "" fregare. "" Continuò.
Input: Consider Input: خیلی ممنون که گوش دادید.
Output: Grazie per la vostra attenzione.
Input: Consider Input: (صدای خنده) ضمنا ، من در مورد ظرف شستن شوبرت دروغ گفتم ضمنا ، من در مورد ظرف شستن شوبرت دروغ گفتم ولی این به این معنی نیست که هیچ وقت توی کارهای خونه کمک نکرده باشه (صدای خنده) (تشویق) متشکرم ، متشکرم (تشویق)
| Output: (Risate) A proposito, ho mentito sulla storia di Schubert e dei piatti, ma non vuol dire che non abbia mai dato una mano in casa "". (Risate) (Applausi) Grazie. Grazie. (Applausi)
| 2 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-0.5176966786384583,
1.1163694858551025,
-0.04798371344804764,
-0.03441079705953598,
-0.30366355180740356,
-0.7655168771743774,
0.7652504444122314,
0.2784191071987152,
0.7581804394721985,
-0.6142452955245972,
-1.3216361999511719,
0.6341676115989685,
-0.2518511414527893,
-0.2911588549613952... |
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Ex Input:
My immediate managers had not confessed to their higher-ups that the programmer they hired for a serious job was a teen girl who wore jeans and sneakers to work.
Ex Output:
מנהליי הישירים לא הודו בפני הממונים עליהם שהמתכנתת שהם העסיקו בתפקיד רציני היא נערה מתבגרת שבאה לעבודה בג 'ינס וסניקרס.
Ex Input:
Suddenly big things can be done for love. "" Watch, this spring, for Paul Hawken's new book — Author and entrepreneur many of you may know about.
Ex Output:
ולפתע אפשר לעשות דברים גדולים למען האהבה. "" חכו באביב הקרוב לספרו של פול הוקן. סופר ויזם שרבים מכם אולי מכירים.
Ex Input:
So we have taught a machine to see with the eyes of a coach.
Ex Output:
| לימדנו את המכונה לראות מנקודת המבט של המאמן.
| 1 | NIv2 | task1221_ted_translation_en_he | fs_opt | [
-0.48850202560424805,
0.6096463203430176,
-0.5690932869911194,
0.1357402503490448,
-0.5848821401596069,
-0.11059136688709259,
0.45426490902900696,
0.24554261565208435,
0.9072371125221252,
0.04639538750052452,
-0.43028417229652405,
0.7144038081169128,
-0.19580771028995514,
-0.20773103833198... |
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: 20TH CENTURY WOMEN
Clue: Once a ball girl for the Oakland A's, in 1997 she opened her first chocolate chippery
Solution: | mrs. fields | 8 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-0.2602351903915405,
0.33811885118484497,
-1.0624748468399048,
0.18263626098632812,
-0.09709921479225159,
0.013487443327903748,
0.7561236619949341,
-0.08603101968765259,
0.8335821628570557,
-0.17645156383514404,
0.18592895567417145,
-0.07330383360385895,
-0.26800358295440674,
-0.2602650523... |
You will be given a definition of a task first, then some input of the task.
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.
As for those people who said it wont charge did you try unlocking it? It says in the instructions to hold down the power button for 7 seconds. Mine came locked and works just fine. Excellent light.
Output: | positive | 1 | NIv2 | task1312_amazonreview_polarity_classification | zs_opt | [
0.06378082931041718,
-0.07533752918243408,
0.42328763008117676,
-0.5365645885467529,
-0.009307920932769775,
-0.04683214798569679,
1.0716907978057861,
0.27854305505752563,
0.024002060294151306,
0.311685174703598,
0.2797914743423462,
-0.5568666458129883,
-0.4521688222885132,
-0.0713075548410... |
Given the task definition and input, reply with output. Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
Question: What are molecules that the immune system recognize as foreign to the body? Answer: antigens
| The average kinetic energy of atoms (each of mass and average speed ) in a gas is related to the temperature of the gas, measured in Kelvin. The Boltzmann constant is a constant of nature, equal to. | 5 | NIv2 | task593_sciq_explanation_generation | zs_opt | [
0.3893161118030548,
0.9805611968040466,
0.13713225722312927,
-0.21264323592185974,
-0.18122759461402893,
-1.5453053712844849,
-0.13820141553878784,
0.57026606798172,
0.6038309931755066,
0.0958063006401062,
-1.3515424728393555,
0.6558682322502136,
-1.0066626071929932,
-0.0038976739160716534... |
Detailed Instructions: The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence into the English language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should be natural language and formal form of each sentence in your language. The output sentence should not be a colloquial form of the input sentence. The generated output should be in natural language which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) Numbers and fully capitalized words like SEPTEMBER, or 10 HOURS *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. 5) Note the input is in sentence case except for special placeholders. Please do the same in your translations.
Q: Ẹni tí ó bá obìnrin kó lọ sílée rẹ̀ yó sùn nínú ẹ̀rù.
A: | A man who goes with a woman to her house will sleep in fear. | 9 | NIv2 | task1620_menyo20k-mt_yo_en_translation | zs_opt | [
-0.9899378418922424,
0.6157870888710022,
-0.08710756152868271,
-0.6265523433685303,
0.07543230056762695,
-0.13924303650856018,
0.36182916164398193,
0.44467073678970337,
0.1353391408920288,
-0.5679342150688171,
-0.12856438755989075,
0.3164510130882263,
-0.5651804208755493,
0.107757225632667... |
Teacher:Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Teacher: Now, understand the problem? Solve this instance: "Blender" was trained using available public domain conversations which included 1.5 billion examples of human exchanges. The social media giant said 49% of people preferred interactions with the chatbot, compared with another human. But experts say training the artificial intelligence (AI) using a platform such as Reddit has its drawbacks. Numerous issues arose during longer conversations. Blender would sometimes respond with offensive language, and at other times it would make up facts altogether. Researchers said they hoped further models would address some of these issues. "We believe that releasing models is essential to enable full, reliable insights into their capabilities," a Facebook spokesperson said. Artificial Intelligence expert Dave Coplin, chief executive of consultancy The Envisioners, said that Blender was a "step in the right direction," but noted two fundamental issues that still need to be overcome. "The first is just how complex it is to replicate all of the nuances of a human attribute, like the ability to hold a conversation, a skill that most three-year-olds can master," he told the BBC. "The second is around the relationship with the data used to train the model and the results generated by the model. "As great a platform as Reddit is, training algorithms based on the conversations you find there is going to get you a lot of chaff amongst the wheat." Facebook also compared Blender's performance with the latest version of Google's own chatbot, Meena. It showed people two sets of conversations, one made with Blender and the other with Meena. Conversations included a wide range of topics including movies, music and veganism. Facebook said that 67% of respondents thought Blender sounded more human than Meena. "We achieved this milestone through a new chatbot recipe that includes improved decoding techniques, novel blending of skills, and a model with 9.4 billion parameters, which is 3.6x more than the largest existing system. "This is the first chatbot to blend a diverse set of conversational skills together in one system." "Building a truly intelligent dialogue agent that can chat like a human remains one of the largest open challenges in AI today."
Student: | Facebook uses 1.5bn Reddit posts to create chatbot | 6 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
-0.35346031188964844,
-0.17554740607738495,
-0.18881073594093323,
-0.2269292175769806,
-0.031075313687324524,
-0.1411748230457306,
0.5530109405517578,
0.5796239972114563,
-0.20886079967021942,
0.3440724015235901,
-0.06728999316692352,
-0.03587203845381737,
-0.15780755877494812,
0.536459684... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Example: Ok, the national drink of Scotland is whisky.
Example solution: assistant
Example explanation: It is pretty straightforward. It is knowledge sharing, and the assistant explains the question asked by the user.
Problem: The Malagasy people of Madagascar are an Austronesian people, but those along the coast are generally mixed with Bantu, Arab, Indian, and European origins.
| Solution: assistant | 5 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
0.18601259589195251,
0.47913748025894165,
-0.48533767461776733,
-0.9963189363479614,
-0.4446970820426941,
0.1362348347902298,
1.7605594396591187,
-0.9624335765838623,
0.9792343974113464,
-0.5150806307792664,
-0.16670632362365723,
-0.07959486544132233,
-0.23731854557991028,
0.57445895671844... |
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 sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
It 's a lovely film with lovely performances by Buy and Accorsi .
Solution: POS
Why? The sentiment of the sentence is positive. Hence, the label is 'POS'.
New input: The gags , and the script , are a mixed bag .
Solution: | NEG | 0 | NIv2 | task363_sst2_polarity_classification | fs_opt | [
-1.0587208271026611,
0.44142091274261475,
0.36905908584594727,
0.007189187221229076,
0.4459696412086487,
-0.797339916229248,
0.6217421293258667,
0.44904249906539917,
0.4590127468109131,
0.20410266518592834,
-0.7503170967102051,
-0.6574335098266602,
0.6325936913490295,
0.039014797657728195,... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head can be characterized by being or having the Tail or not. Being characterized usually describes entities' general characteristics such as rose is red, or subjective attributes such as thirst is uncomfortable. It can also map to descriptors that speak to the substance or value of items such as meat has the property of being stored in the freezer or bike is powered by a person's legs. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
See one example below:
Problem: Head: water<sep>Tail: effect of making things wet
Solution: Yes
Explanation: This is a good example. The water can be characterized by making things wet.
Problem: Head: lead<sep>Tail: dangerous to eat
Solution: | Yes | 4 | NIv2 | task1212_atomic_classification_hasproperty | fs_opt | [
0.07117851078510284,
-0.03608758747577667,
0.25721800327301025,
-0.012804674915969372,
-0.10798071324825287,
-1.1871604919433594,
0.46263858675956726,
1.1832821369171143,
-0.979360818862915,
0.10272142291069031,
-0.7240449786186218,
-0.6262643337249756,
-0.4471041262149811,
-0.280793488025... |
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Question: Who won the last cup match? Passage:In 2002, the International Ice Hockey Federation (IIHF) announced that it would acknowledge the site of Victoria Rink with "a commemorative plaque or other historical site marker to remind the passers-by of the existence of the Victoria Skating Rink, the birthplace of organized hockey." The commemoration has been marked in two ways. On May 22, 2008, a commemorative plaque was dedicated at the nearby Centre Bell, along with a plaque honouring James Creighton. Further, the IIHF created the Victoria Cup, a trophy named for the arena, for which—along with 1 million Swiss francs—one National Hockey League team and the champion of the European Champions Hockey League play-off annually. The first Cup match was held in Berne, Switzerland on October 1, 2008 between the New York Rangers and the Metallurg Magnitogorsk. The next, and last, edition of the Victoria Cup was held in Zurich on September 29, 2009, between the ZSC Lions and the Chicago Blackhawks.
| The next, and last, edition of the Victoria Cup was held in Zurich on September 29, 2009, between the ZSC Lions and the Chicago Blackhawks | 0 | NIv2 | task234_iirc_passage_line_answer_generation | zs_opt | [
1.2781363725662231,
0.33540239930152893,
-0.737053394317627,
1.0847915410995483,
0.15488401055335999,
-0.3928074240684509,
0.00723644532263279,
0.19125238060951233,
0.35057878494262695,
-0.20544858276844025,
-0.1466909945011139,
0.9424310922622681,
-1.0251381397247314,
0.09830209612846375,... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether The Tail is the intention of the PersonX from the Head or not. The intention is the likely intent or desire of PersonX behind the execution of an event. For example, given the Head PersonX gives PersonY gifts, an intention might be that PersonX wanted to be thoughtful. 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 gives PersonY a bloody nose<sep>Tail: to make someone pay | Yes | 0 | NIv2 | task1201_atomic_classification_xintent | zs_opt | [
0.27971428632736206,
0.24330177903175354,
0.4653773009777069,
-0.2670406401157379,
-0.5587974786758423,
-0.729292631149292,
1.4722380638122559,
0.27451905608177185,
-0.4134913682937622,
-0.21453669667243958,
-0.3229663670063019,
-0.442003458738327,
-1.0165821313858032,
0.41163885593414307,... |
Teacher: In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Teacher: Now, understand the problem? If you are still confused, see the following example:
My stomach will be upset if i eat that.
Solution: Do you like pineapple on your pizza?
Reason: The answer given was regarding something that the person ate and it caused his stomach upset. The question asked was if that person likes pineapple on pizza. Based on the given answer, the question was predicted correctly.
Now, solve this instance: I frequently go to gigs locally.
Student: | Are you a fan of live music? | 2 | NIv2 | task568_circa_question_generation | fs_opt | [
0.008362025022506714,
-0.06850599497556686,
0.5079233646392822,
0.025109339505434036,
0.26417112350463867,
-0.6044763922691345,
0.19617772102355957,
0.10684306919574738,
-0.2612546682357788,
-0.24633300304412842,
-0.06280165910720825,
0.09814687073230743,
-1.060121774673462,
-0.19080500304... |
Detailed Instructions: In this task you are given data in tabular format and a question. Write an **incorrect** ansswer to this question based on the information in the table.
Problem:Table: ['Team', 'Location', 'Venue', 'Capacity', 'Position in 1993-94']. ['Dinamo Minsk', 'Minsk', 'Dinamo, Minsk', '41,040', '1']. ['Dinamo-93', 'Minsk', 'Dinamo, Minsk', '41,040', '2']. ['Dvina', 'Vitebsk', 'Central, Vitebsk', '8,300', '3']. ['Dnepr', 'Mogilev', 'Spartak, Mogilev', '11,200', '4']. ['Bobruisk', 'Bobruisk', 'Spartak, Bobruisk', '3,550', '5']. ['Torpedo Minsk', 'Minsk', 'Torpedo, Minsk', '5,200', '6']. ['Shinnik', 'Bobruisk', 'Spartak, Bobruisk', '3,550', '7']. ['Dinamo Brest', 'Brest', 'Dinamo, Brest', '10,080', '8']. ['Molodechno', 'Molodechno', 'City Stadium, Molodechno', '5,500', '9']. ['Lokomotiv', 'Vitebsk', 'Central, Vitebsk', '8,300', '10']. ['Neman', 'Grodno', 'Neman', '6,300', '11']. ['Vedrich', 'Rechytsa', 'Central, Rechytsa', '3,550', '12']. ['Shakhtyor', 'Soligorsk', 'Stroitel', '5,000', '13']. ['Torpedo Mogilev', 'Mogilev', 'Torpedo, Mogilev', '3,500', '14']. ['Gomselmash', 'Gomel', 'Central, Gomel', '11,800', '15']. ['Obuvshchik', 'Lida', 'City Stadium, Lida', '4,000', 'First league, 1']. Question:what are all the venues for the 1994-95 belarusian premier league?
Solution: | ['Robert Doornbos', 'Neel Jani', 'Oriol Servia', 'Will Power', 'Sebastien Bourdais', 'Graham Rahal', 'Bruno Junqueira', 'Tristan Gommendy', 'Jan Heylen', 'Simon Pagenaud', 'Paul Tracy', 'Mario Dominguez', 'Justin Wilson', 'Alex Figge', 'Alex Tagliani', 'Katherine Legge', 'Dan Clarke'] | 8 | NIv2 | task759_msr_sqa_incorrect_answer_generation | zs_opt | [
0.6205465793609619,
0.226860910654068,
-1.1536521911621094,
0.07238991558551788,
0.38158196210861206,
0.24404466152191162,
0.7402265667915344,
0.19025343656539917,
0.3027673661708832,
0.10471564531326294,
-0.44639676809310913,
0.5513905882835388,
-0.8807686567306519,
0.32617712020874023,
... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
I know I must sound like some liberal do-gooder.
A: | אני יודע שאני נשמע כמו איזשהו מתקן-עולם ליברלי. | 7 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
-0.6742467880249023,
0.1367846429347992,
0.20056858658790588,
-0.7595733404159546,
-0.33065325021743774,
-0.34279823303222656,
0.06700971722602844,
0.31227511167526245,
1.2015398740768433,
0.08041645586490631,
0.128249391913414,
0.10123986005783081,
-1.0782978534698486,
-0.5240474939346313... |
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 hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: geopolitical or non-geopolitical depending on the topic.
খকুকুর কে লাই দিতে নেই, যদি লাই দেওয়া হয় তাহলে মাথায় ওঠে বসে
Solution: non-geopolitical
Why? Here it expresses hate against a person or a community, hence tagged as non-geopolitical.
New input: যুগে যুগে তোর মত বেশ্যা পল্লীতে জন্ম নেওয়া পোলাপাইন আসবে কিন্তু কোরআন হাদিসের একটা শব্দও এদিক ওইদিক করতে পারবে না
Solution: | non-geopolitical | 0 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | fs_opt | [
-0.7742022275924683,
0.010908910073339939,
0.6131918430328369,
-0.0006615559104830027,
-0.6149156093597412,
-0.46343177556991577,
0.3133965730667114,
0.5765166282653809,
0.3569698631763458,
0.01906910352408886,
-0.5814688205718994,
-0.23956602811813354,
-0.3431738615036011,
-0.279493421316... |
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Q: I ordered this as a christmas present for my Daughter and Son in law. He tried it the day after Christmas and gave it 2 thumbs up.
A: | 5 | 4 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
-0.3256807327270508,
-0.3923987150192261,
0.40860310196876526,
-0.10663743317127228,
0.3860139846801758,
0.2433767467737198,
0.679387092590332,
0.9001016616821289,
-0.3028744161128998,
0.4081200361251831,
-0.13824860751628876,
0.09572260081768036,
-0.9745689034461975,
-0.02802581526339054,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
We investigate the combination of actor-critic reinforcement learning algorithms with uniform large-scale experience replay and propose solutions for two challenges: (a) efficient actor-critic learning with experience replay (b) stability of very off-policy learning. We employ those insights to accelerate hyper-parameter sweeps in which all participating agents run concurrently and share their experience via a common replay module.
To this end we analyze the bias-variance tradeoffs in V-trace, a form of importance sampling for actor-critic methods. Based on our analysis, we then argue for mixing experience sampled from replay with on-policy experience, and propose a new trust region scheme that scales effectively to data distributions where V-trace becomes unstable.
We provide extensive empirical validation of the proposed solution. We further show the benefits of this setup by demonstrating state-of-the-art data efficiency on Atari among agents trained up until 200M environment frames.
Output: | We investigate and propose solutions for two challenges in reinforcement learning: (a) efficient actor-critic learning with experience replay (b) stability of very off-policy learning. | 1 | NIv2 | task668_extreme_abstract_summarization | zs_opt | [
-0.30374976992607117,
-0.17292088270187378,
-0.8853791356086731,
0.17734584212303162,
-0.26966142654418945,
-0.3694201409816742,
1.207728624343872,
0.41695719957351685,
0.6578940153121948,
-0.13798022270202637,
-0.2046021819114685,
-0.1266530305147171,
-0.3011818528175354,
0.00536308158189... |
instruction:
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the author is considering doing something in the future. Say 'yes' if the claim is true otherwise say 'no'
question:
CLAIM : The following post is HISTORICAL. POST : Each year a local radio station has a calendar full of lovely ladies that they give away free at sponsored events. I went to an event hosted at an upscale jewelry store. The type I would never be in if not for the free calendar. While waiting in line to get my calendar, one of the store workers was asking everyone for their phone number so she could text them a link to a specific review site, and asked that everyone post a positive review of the store. Everyone else gave up their information willingly, but when she got to me I just told her "I'm not doing that", and she gave me a mean scowl.
AITA here? If you have a review you'd like me to post, say "hey, can you write us a review on yelp/facebook/yellowpages/google/whatever. Thanks!" I'm still not gonna do it probably, because I'm not actually shopping there, I just happen to be there, but I'll lie to placate you. But there is no reason I should have to identify myself to them and give them my information just so they can get a review. They just want it to market to me later, right?
answer:
no
question:
CLAIM : The following post is HISTORICAL. POST : Our agreement since I’m not working is cleaning and cooking and laundry. I recently found out he doesn’t wipe his ass right. So his underwear is shit stained literally looks like my nephews underwear who is learning to wipe.
It grosses me out since he’s been using my sweatpants and I don’t even want to be touching them anymore. Knowing he’s unhygienic there.
Would I be the asshole if I had him wash his own clothes until he learns to wipe properly?
answer:
no
question:
CLAIM : The following post is HYPOTHETICAL. POST : Some Backstory: Not too long ago, I escaped my abusive parents to live with my boyfriend. We were long distance dating for a while and he wanted to help me get help. I lived in PA while he lived in UT. Well I eventually moved in and across the country with him after we discussed it and in doing this, I was disowned from my entire family. I didn't have a job (I had quit it to move and the move was rather sudden planned on moving in May and I ended up moving 2 months earlier than I planned). So I started volunteering at the local Aquarium to keep me busy as I looked for a job. It had taken me 5 months to find a decent job here in Utah. During that time I was trying but there wasn't much to do in science without a PH.D in academia. He comes from a family of very good means (his mom has fuck you money) and his mother constantly berated me for not having a job and she told him that he should protect himself from being taken advantage of and I should have gotten a temp job in between while looking. He had told me that frankly I didn't need to work, and he wanted me to go to a place where I would be happy. Eventually I found a good job in R&D for a pharma company and we finally started to pull ahead financially from me moving in. He proposed to me about a month ago and we are genuinely happy for one another. I honestly feel as if I am the luckiest girl alive and am greatful for him every day for just coming into my life.
The problem: He recently was offered a significant promotion, which would require us to move to Seattle. His mother lives in Seattle. I don't want to pidgenhole him in his carrier and he would be climbing essentially 4 management positions (from middle management to just below the CFO). I don't think I could bare to have 0 support surrounding me and I have issues making friends due to my childhood (I shut down and don't talk a lot) so I havent made very close friends here in UT. We talked it over and I wouldnt have to work, and can finally persue my goal of going for a PH.D. The only thing I'm worried about is him or his mother thinking I am taking advantage of him. He really is a blessing in my life, he helped me when I really didn't think I was ever going to live past my 30s. I would need to be out of work for a year before I would start school again. And would be applying in December this year for fall 2020. WIBTA if I quit my job to persue a doctorate? I don't want to take advantage of him.
answer:
| yes
| 9 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
-0.08910676836967468,
0.2900105118751526,
-0.19306892156600952,
-0.15780600905418396,
0.6702843904495239,
-0.6589457988739014,
0.505892276763916,
1.095271348953247,
-0.5878362655639648,
0.1407402753829956,
0.09422509372234344,
0.6937119960784912,
-0.43195247650146484,
0.21833723783493042,
... |
Detailed Instructions: In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Q: Context: Honestly, I would empty out my saving account and throw it at #TheBachelor producers to see @ravengates09 punch a shark in the face.— Justin Kirkland (@justinkirkland4) February 14, 2017 Question: who would justin empty his savings account for?
A: | the bachelor producers | 9 | NIv2 | task239_tweetqa_answer_generation | zs_opt | [
-0.3044838309288025,
0.06430068612098694,
-0.2544440031051636,
-0.020095400512218475,
-0.38609522581100464,
-0.48213809728622437,
-0.0072492193430662155,
-0.13020269572734833,
-0.4132845401763916,
0.013057023286819458,
0.34340450167655945,
-0.3241461515426636,
-0.9816415309906006,
-0.18443... |
Detailed Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Q: ['e', '1549', 'I', '8417', '5643', 'a', '1735', '1275', 'i', '6269', '6381', '9869', '8781', '1005', 'R', 'h']
A: | 1549, 8417, 5643, 1735, 1275, 6269, 6381, 9869, 8781, 1005 | 9 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
0.8793481588363647,
0.17698043584823608,
-0.572353720664978,
0.05383749678730965,
-0.291088342666626,
-0.8792258501052856,
0.6797191500663757,
-0.18301549553871155,
-0.30026206374168396,
-0.17149268090724945,
-1.1958281993865967,
-0.5988228917121887,
-0.10250045359134674,
0.277193188667297... |
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , an individual, title of a person, description of a person);
(2) Event: Any phenomenon natural or artificial (e.g., named hurricanes, Battles, Wars, Sports events, Terrorist attacks);
(3) Entity: A thing with distinct and independent existence (Animals, Organs of body, Colors, Inventions, books and other creative pieces, Currency name, Diseases, and medicine, Food, Musical instrument, Languages, Plants, Products, Religions, Sports, Elements and substances, Symbols and signs, Techniques and methods, Equivalent terms, Vehicles);
(4) Facility: Something built for a particular purpose (Buildings, Airports, Highways, Bridges);
(5) Location: A place (Cities, Countries, Mountains, States);
(6) Law: Named documents made into laws (e.g., “the first amendment”, "civil rights act");
(7) Organization: an organized body of people with a particular purpose (Company names, e.g. Google, Cults or terrorist groups, e.g. Al Qaeda);
(8) Date: Absolute or relative dates or periods, bigger than 1 day (Years, Range, e.g. from Monday to Tuesday, or during the 20th century, Approximate time);
(9) Time: Any temporal range/unit that is shorter than a day (e.g., 2 o'clock, 1 pm);
(10) Money: Monetary values, including unit (e.g., "$26", "914$");
(11) Quantity: postcodes or other codes, the number of sth, Ranks, fractions, speed, temperature, size, area, and volume, weight (e.g., "26 degree" "17 inch");
(12) Description: description and abstract concepts (e.g., the definition of something, the manner of an action, reasons);
(13) Abbreviation: expression abbreviated (e.g., AMT = abbreviation of Amazon Mechanical Turk). Don't generate any word that is not mentioned in the list of types (Humans, Event, Entity, Facility, Location, Law, Organization, Date, Time, Money, Quantity, Description, Abbreviation). If you can not associate any of the given types with the provided question and answer pair, respond "Other".
Example: Question: Melbourne has sustained the highest population increase and economic growth rate in any Australian city according to what organization? (Answer: Australian Bureau of Statistics).
Example solution: Organization.
Example explanation: Here, the definition of the type "Organization" is "an organized body of people with a particular purpose" which aligns with "Australian Bureau of Statistics". So, this is a good answer.
Problem: Question: What percentage of the city's population is Caucasian? (Answer: 44%).
| Solution: Quantity. | 5 | NIv2 | task046_miscellaneous_question_typing | fs_opt | [
0.8462583422660828,
-0.044607922434806824,
-0.2430281937122345,
0.13411910831928253,
0.02742159739136696,
-0.8685940504074097,
1.0245717763900757,
0.9509707093238831,
-0.4616086483001709,
-0.11263161152601242,
-0.5626916885375977,
0.5023901462554932,
-0.5693275928497314,
0.2321616113185882... |
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
--------
Question: 5) వీటిలో మెడికల్ కాలేజి, ఆయుష్బ్లాక్, ఆడిటోరియం, నైట్షెల్టర్, అతిథి గృహం, హాస్టల్స్, రెసిడెన్షియల్ సదుపాయాలు ఉంటాయి.
Answer: மருத்துவக் கல்லூரி, ஆயுஷ் வளாகம், கலையரங்கம், இரவு நேர தங்குமிடம், விருந்தினர் இல்லம், விடுதிகள் மற்றும் குடியிருப்பு வசதிகள் ஆகியவை இடம்பெற்றிருக்கும்.
Question: మహాత్మా గాంధీ బోధనలు నేటి కాలానికి కూడా చక్కగా సరిపోతాయి.
Answer: மகாத்மா காந்தியின் சிந்தனைகள் இன்றைக்கும் பொருத்தமானவையாக உள்ளன.
Question: మన దేశం 5 ట్రిలియన్ డాలర్ విలువైన ఆర్ధిక వ్యవస్థ గా రూపొందితే ఎవరికి నష్టం వస్తుంది?
Answer: | நாம் அனைவரும் இணைந்து 5 டிரில்லியன் டாலர் அளவுக்கு நாட்டின் பொருளாதாரத்தை கொண்டுசென்றால், யாருக்கு இழப்பு ஏற்படும்?
| 7 | NIv2 | task1076_pib_translation_telugu_tamil | fs_opt | [
0.3827301263809204,
-0.019416142255067825,
-0.008776830509305,
0.1777852326631546,
0.6453749537467957,
-0.4892413020133972,
-0.487101286649704,
0.7602308988571167,
-0.11088936030864716,
-0.02898203209042549,
-0.21899132430553436,
-0.09414219856262207,
-0.23790815472602844,
0.17188565433025... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Non coñecía outra forma de gañarse a vida e de conseguir diñeiro.
A: | הוא לא הכיר שום דרך אחרת להתפרנס ולהרוויח כסף. | 7 | NIv2 | task1242_ted_translation_gl_he | zs_opt | [
-0.4896242916584015,
1.0711424350738525,
0.4131806492805481,
-0.8971323370933533,
-0.532605767250061,
-0.2688748836517334,
0.7927130460739136,
0.2761274576187134,
0.4712148904800415,
-0.07803365588188171,
-0.05294414609670639,
-0.20071640610694885,
-1.14345121383667,
0.11399836093187332,
... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head happens before the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX accidentally hit ___<sep>Tail: terrified | No | 0 | NIv2 | task1206_atomic_classification_isbefore | zs_opt | [
0.32851552963256836,
0.3774794340133667,
0.5576394200325012,
-0.14696766436100006,
-0.6231909990310669,
-0.697594940662384,
1.1234562397003174,
0.5825811624526978,
-0.6924794912338257,
-0.38691771030426025,
-0.8189910650253296,
-0.402959942817688,
-0.7144858837127686,
0.0005747488467022777... |
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
--------
Question: Personality: I am studying to become a nurse.
I live in a studio apartment.
I'm a paramedic.
My favorite band is the beatles.
Chat history: -Hey, hows it going?
-Chillin in my sweet studio apartment, listening to Beatles. You?
-Not too bad. I'm just chillin in my huge mansion, counting my money.
-Rich and humble?! What a catch.
-Why, thank you! I have done pretty well for myself. Are you happy with your life?
-Heck yes I'm! I'm studying to be a nurse. So I will be making bank too.
-Ahahah! I bet you'll, nurse Jackie!
-I'll be keeping my nose clean.
-I gotta stay clean 24 7, being on the Washington wizards and all.
-Shoooooot! What is that? Basketball or some weird Harry potter thing?
-B ball mang. B ball!
Candidates 1) I'm doing great, listening to the waves crash on the beach. How are you? 2) That is a sweet skill to have. Bet you get tons of babes. 3) I had 5, but 2 died sadly. 4) Sorry. no biggie. Lots of comic book heroes do not know their parents.
Answer: That is a sweet skill to have. Bet you get tons of babes.
Question: Personality: I have created my own personal religion.
I believe in ghosts and have seen them on several occasions.
I only buy convertible cars.
I don't celebrate any holidays.
Chat history: -Do you want to hear about my new religion?
-Sure what religion is that.
-I created my own. Its based on ancestors. I see ghosts.
-Sounds cool, would help me leave school since I hate it so much.
-It may not be for you, no holidays in my religion are celebrated.
-That's ok, my life on the lake is boring.
-What are you in school for?
-I am in school for magic.
-That sounds to be not boring to me.
-It can be since I know all of it.
-Do you drive? I only purchases convertibles.
-I cant drive yet though I wish I was.
-Do you not know how?
-I do not know how, when did yo learn.
Candidates 1) I learned young, got my permit at 15. 5. 2) Will you help me in my garden? 3) Shoot I live in Ny. I'll fly you out tonight. You will never wanna go back haha. 4) Hey there, nice to meet you. Whats happening tomorrow?
Answer: I learned young, got my permit at 15. 5.
Question: Personality: I like to play tennis.
I work as an accountant.
My favorite musical is Hamilton.
My favorite color is red.
My favorite food is a burger.
Chat history: -
Candidates 1) Hi do you wanna play tennis? 2) I'm from Missouri, how about you? 3) During my free time, I write stories. 4) Hey how are you.
Answer: | Hi do you wanna play tennis?
| 7 | NIv2 | task1730_personachat_choose_next | fs_opt | [
0.18202714622020721,
-0.060626059770584106,
-0.6235408782958984,
-0.22993652522563934,
0.18106885254383087,
-0.776447057723999,
1.0905444622039795,
0.43270254135131836,
-0.22435039281845093,
-0.32580846548080444,
-0.015220275148749352,
0.04950876161456108,
-0.5048661231994629,
-0.189656242... |
Teacher: In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on your judgment.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Gideon brought his phone to his ear and resonated with Bev at HQ .
Solution: Changed
Reason: "resonated" doesn't fit in this sentence.
Now, solve this instance: It was not just the planks and yellows represented in the walls .
Student: | Changed | 2 | NIv2 | task515_senteval_odd_word_out | fs_opt | [
-0.5663686990737915,
0.5440998673439026,
0.30577272176742554,
-0.6971590518951416,
0.1823486089706421,
-0.6449536681175232,
0.28269869089126587,
0.5901299715042114,
0.42100030183792114,
-0.16109474003314972,
-0.3770698308944702,
-0.14283017814159393,
-0.9445924162864685,
-0.120989605784416... |
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Example: English: Resumption of the session
Spanish: Reanudación del período de sesiones
Example solution: Yes
Example explanation: The English sentence correctly translated into a Spanish sentence because it's translated all the words and prepositions in the sentence "Resumption of the session" correctly.
Problem: English: I can see the complexities that concern the honourable Member, but I say to him that in the last five years there have been ten cases in which there have been requests from national legal authorities for the immunity of 26 officials to be lifted, and every single one of those requests has been met, and met with alacrity.
Spanish:Por ello, tanto más importante es para nosotros que se hagan partícipes a la población afectada y las comunidades locales de los trabajos de elaboración de los proyectos, para garantizar la sostenibilidad ecológica, pero también social, de estos proyectos que queremos financiar.
| Solution: No | 5 | NIv2 | task532_europarl_en-es_classification | fs_opt | [
0.30824029445648193,
0.431008517742157,
0.4827807545661926,
-0.05848374590277672,
-0.036574654281139374,
-0.7007004022598267,
0.32578644156455994,
0.7772363424301147,
-0.22763599455356598,
0.13478799164295197,
-0.3532903790473938,
0.8099880218505859,
-0.9566189050674438,
-0.139575958251953... |
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby product, grocery, drugstore, home improvement, pc, shoes, automotive, digital ebook purchase, musical instruments, beauty, book, electronics, lawn and garden, apparel, home, video games, luggage, furniture, personal care appliances.
Input: Consider Input: First off, why make a holster side load instead of top load. Most of the people wearing holsters I have seen have them horizontal not vertical on their person. Second, the belt clip release is very high, causing it to poke you in the side or stomach depending on where you wear it. And worst of all, cause's it to be released by your body and go crashing to the ground. I have been wearing holsters for over 4 years and have never had one fall off of my belt until this one, and it only took less than an hour!
Output: wireless
Input: Consider Input: I don't recommend this product as the brackets did not fit my Jeep Cherokee Trail Blazer. When I ordered it, the manufacturer assured me that the brackets would work with my vehicle make and model. But when it arrived, it did not. What a disappointment!!!!!!!,
Output: drugstore
Input: Consider Input: I had terrible service today because I specifically put in a request to Amazon that I wanted my packages to go to my Apt Management Office Not to my apartment. Amazon Rep put in a special order, with my directions, to the UPS carrier. The request was obviously ignored because the package was delivered to my apt during Office hours. During the holidays, I had a package stolen that was left at my front door by UPS, at my Apt complex. I then changed all directions to UPS online to deliver all my packages to my Management Office. I don't feel comfortable ordering anything if the carriers are not going to honor my request. PLEASE TAKE ALL OF MY PACKAGES TO THE OFFICE. Amazon Rep put in the notes that if the office was closed to call me if coming to deliver at my apartment. I am a disabled veteran and take a long time to get to the door. They even put in office hours. The office was open today and will be tomorrow.
| Output: other
| 2 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
0.3522602319717407,
-0.2216830849647522,
-0.6492055654525757,
0.43273887038230896,
0.3831450343132019,
0.054177574813365936,
0.17909231781959534,
0.8338994979858398,
-0.04776756465435028,
0.2589259147644043,
0.04022932052612305,
0.4671831727027893,
-0.02490541897714138,
-0.5279413461685181... |
Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
Example: Spr Ithan sariyana valli
Example solution: Hope Speech
Example explanation: The given text contains content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion and is in expected language - tamil
Problem: அப்டினா first tiktok uninstall pannanum avanga
| Solution: Not Hope Speech | 5 | NIv2 | task680_hope_edi_tamil_text_classification | fs_opt | [
-0.08521898090839386,
-0.06896187365055084,
0.5956500172615051,
0.5028855204582214,
-0.19443120062351227,
-1.1141159534454346,
0.09290821105241776,
0.7067416310310364,
-0.6121180057525635,
0.4512045383453369,
-0.18460118770599365,
0.3005269467830658,
-0.5690171122550964,
-0.492060303688049... |
Teacher:You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Teacher: Now, understand the problem? Solve this instance: What it is certain that he was wearing is this hat.
Student: | 1 | 6 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | zs_opt | [
0.5076608061790466,
0.7501682043075562,
0.31246376037597656,
-0.252080500125885,
0.2291019856929779,
-1.7922507524490356,
0.3630565106868744,
0.8196073174476624,
-0.03261865675449371,
-0.4511507749557495,
-0.9206202626228333,
-0.5675537586212158,
-0.557040810585022,
-1.1732308864593506,
... |
Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Let me give you an example: Es probable que encuentres un planeta en el sistema solar.
The answer to this example can be: Es desafortunado encontrar un planeta en el sistema solar.
Here is why: This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about finding a planet in the solar system and the changes in the sentence follows the commonsense knowledge.
OK. solve this:
Usted es probable que bucle una petición alrededor en un paseo.
Answer: | Usted está orgulloso de conocer un oro alrededor en un día. | 8 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
-0.5244126319885254,
0.5351381301879883,
-0.47268784046173096,
0.16061893105506897,
-0.4765785038471222,
-0.9268286228179932,
0.0198051817715168,
1.1651445627212524,
0.08439550548791885,
-0.7567975521087646,
-0.48274803161621094,
0.32176488637924194,
-0.18241578340530396,
-0.12957942485809... |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Q: Context: Kendall was an archer at a castle. They prevented the attack from happening.
Question: What does Kendall need to do before this?
Options: (A) have a bow (B) have a coach (C) find a way to prevent another attack
A: | B | 4 | NIv2 | task385_socialiqa_incorrect_answer_generation | zs_opt | [
0.516243040561676,
1.0781971216201782,
0.047737330198287964,
-0.3065093457698822,
-0.18056976795196533,
-0.5326157808303833,
0.6621062755584717,
0.9838292598724365,
-0.2147972285747528,
-0.1982925981283188,
-0.10540406405925751,
-0.6812019348144531,
-0.5296742916107178,
-0.416673481464386,... |
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , an individual, title of a person, description of a person);
(2) Event: Any phenomenon natural or artificial (e.g., named hurricanes, Battles, Wars, Sports events, Terrorist attacks);
(3) Entity: A thing with distinct and independent existence (Animals, Organs of body, Colors, Inventions, books and other creative pieces, Currency name, Diseases, and medicine, Food, Musical instrument, Languages, Plants, Products, Religions, Sports, Elements and substances, Symbols and signs, Techniques and methods, Equivalent terms, Vehicles);
(4) Facility: Something built for a particular purpose (Buildings, Airports, Highways, Bridges);
(5) Location: A place (Cities, Countries, Mountains, States);
(6) Law: Named documents made into laws (e.g., “the first amendment”, "civil rights act");
(7) Organization: an organized body of people with a particular purpose (Company names, e.g. Google, Cults or terrorist groups, e.g. Al Qaeda);
(8) Date: Absolute or relative dates or periods, bigger than 1 day (Years, Range, e.g. from Monday to Tuesday, or during the 20th century, Approximate time);
(9) Time: Any temporal range/unit that is shorter than a day (e.g., 2 o'clock, 1 pm);
(10) Money: Monetary values, including unit (e.g., "$26", "914$");
(11) Quantity: postcodes or other codes, the number of sth, Ranks, fractions, speed, temperature, size, area, and volume, weight (e.g., "26 degree" "17 inch");
(12) Description: description and abstract concepts (e.g., the definition of something, the manner of an action, reasons);
(13) Abbreviation: expression abbreviated (e.g., AMT = abbreviation of Amazon Mechanical Turk). Don't generate any word that is not mentioned in the list of types (Humans, Event, Entity, Facility, Location, Law, Organization, Date, Time, Money, Quantity, Description, Abbreviation). If you can not associate any of the given types with the provided question and answer pair, respond "Other".
Q: Question: Which actor portrayed Q? (Answer: Ben Whishaw).
A: | Humans. | 4 | NIv2 | task046_miscellaneous_question_typing | zs_opt | [
0.6872857213020325,
0.04451145976781845,
-0.04688823223114014,
0.33088192343711853,
-0.07133034616708755,
-1.058243989944458,
0.9572603106498718,
0.7722771167755127,
-0.5954656600952148,
-0.20436567068099976,
-0.3774232566356659,
0.47271716594696045,
-0.3337588906288147,
-0.045074332505464... |
Definition: In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
Input: ['w', '1327', 'o', '9321', '6615', '9757', '8857', 'v', '8515', 'f', '4561', '9329', 'p', 'e', '2765', '3287', 'o', 'k', '9107', 'a', '5809', 'o', 'o', 'i', '1023', '7739', 't', 'y', '7895', '8081', '3887', '3159', '8263', '6497', '6093']
Output: | a, e, f, i, k, o, p, t, v, w, y | 2 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.34922534227371216,
0.22237597405910492,
-0.2596926689147949,
-0.17196428775787354,
0.5820423364639282,
0.005803470499813557,
0.9886640906333923,
-0.1622651070356369,
0.05183277651667595,
0.6520993709564209,
-0.6559297442436218,
-0.2518003284931183,
0.06279655545949936,
-0.13901264965534... |
Given a text, write a compressed version of it in a single sentence.
One example is below.
Q: Except for this small vocal minority, we have just not gotten a lot of groundswell against this from members, " says APA president Philip G. Zimbardo of Stanford University.
A: "Except for this small vocal minority, we have not gotten a lot of groundswell against this," says APA president Zimbardo.
Rationale: Both texts convey the same meaning that they have not gotten much groundswell against this except for small minority.
Q: Two on-duty NYPD officers were on the 20th floor of the North Tower at 8:46. They climbed to the 29th floor, urging civilians to evacuate, but did not locate a group of civilians trapped on the 22nd floor.
A: | 2 NYPD cops were on the 20th fl of the N Tower at 8:46. They climbed to the 29th flr urging evacuation, but didn't anyone on the 22nd floor. | 9 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-0.7500824928283691,
0.5644441843032837,
0.5184094905853271,
0.09714962542057037,
-0.021732328459620476,
-1.9350416660308838,
0.6536815166473389,
0.45316624641418457,
0.09984516352415085,
0.601611852645874,
-0.5098373889923096,
0.13909628987312317,
-0.8892382383346558,
-0.10036066174507141... |
Teacher: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sentences from the story to compose your answer when possible. For the sentence describing the result, you must use the verb feel(s).
Teacher: Now, understand the problem? If you are still confused, see the following example:
story: Our neighbors down the hall had a very noisy party. One of the guests passed out in front of my door. When I asked him to leave he swore at me. I called the police. The guest left before the police came.
selected sentence: When I asked him to leave he swore at me.
Solution: I ask him to leave >Causes> He feel(s) angered
Reason: The emotion caused by the sentence can be anger or being upset, as the person involved swears. This is a good answer.
Now, solve this instance: story: I drove to Starbucks one morning to get coffee. When I got back to the car I saw it had a flat tire. I called my 12 year old son at home. He brought a pump, riding a skateboard. I was able to fill up the tire enough to drive to a gas station.
selected sentence: When I got back to the car I saw it had a flat tire.
Student: | I see a flat tire on my car >Causes> I feel(s) stressed | 2 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
0.47963303327560425,
-0.05516870692372322,
-0.10938648879528046,
-0.3880508542060852,
0.0963178277015686,
-1.0009688138961792,
0.7710376977920532,
1.0596752166748047,
-0.3006475567817688,
0.11473949253559113,
-0.025023017078638077,
0.5604358315467834,
-0.07309027761220932,
-0.3377052843570... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Example: Text: title speaks for itself really...
i just wasted $1500 of my parents' money.
i feel terrible.
edit: i guess it wasn't that i took the wrong class, but the class i was taking wouldn't transfer credits over to my university. so really it was my negligence to do more research in the matter. gg
Output: TIFU by taking the wrong class for 2 weeks and only realizing it today
This title is appropriate for the given text post because the focus of this post is about a humorous situation caused by "taking the wrong class".
New input case for you: Text: so it's third period and i'm surfing reddit. i click on a post of the weirdest pictures people have on their computer. i click on this not knowing what it was.. http://i.imgur.com/e9czomq.jpg so basically the teacher see's it on her computer while watching me and tells me to log off. she obviously writes me up to the principal. so the next day i'm in class and i get called down. so in the principals office i had to explain that i wasn't viewing porn at school, and that imgur isn't a porn website. he then calls my mom (i mean i didn't know i was still in middle school when i do something wrong they call my mommy) i get the option to either get suspended for one day or do some stupid ass digital drivers license test on the computer which is two hours (fuck me). still funny as shit though.
Output: | TIFU by browsing "porn" at school | 1 | NIv2 | task510_reddit_tifu_title_summarization | fs_opt | [
-0.7431153059005737,
0.21417821943759918,
0.24001657962799072,
-0.05243309959769249,
0.1580563485622406,
0.4963330924510956,
0.33676475286483765,
0.6710491180419922,
0.15953928232192993,
0.36208778619766235,
0.10730178654193878,
-0.13890933990478516,
-0.4431925415992737,
-0.333379745483398... |
Teacher:In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form " A >Motivates> B". Try to use phrases and sentences from the story to compose your answer when possible. For the motivation sentence, you must choose a verb from :feel(s), want(s) or like(s). There will always be some motivation in the given story.
Teacher: Now, understand the problem? Solve this instance: story: My family saw on the news that a hurricane was going to hit our city. We were scared about being harmed by the storm. The whole family prepared for the storm and put boards on the windows. The hurricane came and even knocked down a tree in the front yard. We had a big mess to clean up but we were so glad that we were safe.
selected sentence: We were scared about being harmed by the storm.
Student: | We feel(s) worried >Motivates> We become scared | 6 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.19121617078781128,
0.7211820483207703,
-0.15285387635231018,
-0.641675591468811,
-0.3437612056732178,
-1.1163880825042725,
0.6606417894363403,
1.1944841146469116,
-0.30662816762924194,
-0.3294798731803894,
-0.21009087562561035,
0.1521982103586197,
-0.2510206401348114,
-0.160448685288429... |
Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
[Q]: Wenn Sie Gemüse ausnehmen wollen, dann sollten Sie Samen pflanzen und sie gießen.
[A]: Wenn Sie Gemüse anbauen wollen, dann sollten Sie Samen pflanzen und sie gießen.
[Q]: Sie können eine Karte in einer Bibliothek finden.
[A]: Sie werden wahrscheinlich eine Karte in einer Bar finden.
[Q]: Eine Jury sollte einen einstimmigen Schuss machen.
[A]: | Eine Jury sollte eine einstimmige Entscheidung treffen.
| 5 | NIv2 | task416_mickey_de_sentence_perturbation_generation | fs_opt | [
-0.6267456412315369,
0.7218389511108398,
0.03198640048503876,
-0.6283466815948486,
0.05922575294971466,
-0.6751675009727478,
0.9660770893096924,
0.9386522769927979,
-0.05911988765001297,
0.27545493841171265,
-0.22199246287345886,
0.3155704140663147,
-0.8730074763298035,
0.2544559836387634,... |
Q: In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
The rustle of her clothes snaps Zander back to reality.
A: | Singular | 7 | NIv2 | task430_senteval_subject_count | zs_opt | [
-1.4370074272155762,
0.9639631509780884,
0.10302398353815079,
-0.41193288564682007,
-0.4702894389629364,
0.192517951130867,
1.5165770053863525,
-0.2278936505317688,
-0.5260179042816162,
-0.0014425264671444893,
-0.14218702912330627,
0.364994078874588,
-0.9048550128936768,
0.0046243821270763... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Example input: Person1: Are you ready to order , sir ?
Person2: Yes , I'll have tomato soup and my friend will have mushroom soup .
Person1: Do you want anything to go with soup ?
Person2: Yes , bring us two steaks and two loads of bread , please .
Example output: 0
Example explanation: This conversation is neutral as it is a customer ordering a dish. Therefore this is not classified as a strictly positive emotion in the conversation.
Q: Person1: Who's the champion in this picture ?
Person2: Let me show you , the one with curly hair .
Person1: He's very handsome , I think .
A: | 0 | 3 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
-0.5627070665359497,
-0.1940155327320099,
0.40499383211135864,
-0.45510631799697876,
0.10687390714883804,
0.07594911754131317,
0.09877095371484756,
0.1961718499660492,
-0.005515225697308779,
-0.0604955218732357,
-0.26294660568237305,
-0.5663372278213501,
-0.526645839214325,
-0.093299038708... |
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found directly from the passage.
Input: Consider Input: Passage: I love to make hot chocolate in the wintertime . Today it snowed so I decided to make myself a mug of hot cocoa . Some people just put a mug of water in the microwave and then add Swiss Miss. . Not me . First I put the milk in a sauce pan . Then I put it on the burner on medium high heat . While the milk is heating up I get mix cocoa and sugar together . Then a skin formed on top and it was gross . I learned after that that as soon as it boils I need to pull it off the burner.Once the milk comes to a boil I pour it into a mug . Then I add the cocoa . Question: What do they enjoy? Option1: hot chocolate in the wintertime. Option2: When they boil milk too long.
Output: hot chocolate in the wintertime.
Input: Consider Input: Passage: I look through my kitchen and decide that I need to go to the grocery store . I take a piece of paper and a pencil and sit at the kitchen table . I begin my shopping list by listing out the breakfast items we will need for the next couple of weeks . Next , I go to lunches . I write down the items I will need to finish making dinners for the next two weeks . I then go to the bathroom in order to check out on personal items . I make sure that we do not need toilet paper , shampoo , conditioner , toothpaste , and other important items . After I feel that I am done with my list , I ask my children if there is anything they would like different for lunches before taking my list to the store and shopping . Question: What needs to be planned? Option1: the grocery list Option2: Purchasing bathroom supplies.
Output: the grocery list
Input: Consider Input: Passage: Terry and Ed thought about what they wanted to do for their 40th anniversary , and sat on the front porch talking it over . Terry liked the Italian place that was down the street , Ed thought the diner off the highway would do the trick . Terry laughed when he mentioned it . He was nothing if not constant . She quietly got up and went into the kitchen . She picked up her little black address book and started to flip through it . That would be perfect , she thought . Picking up the phone , she dialed in the numbers on the old large buttoned phone . `` Hello , thank you for calling Michael 's . `` Yes , this is Terry Monroe , and my husband and I are celebrating our 40th anniversary , we would like seating at six o'clock tonight . Is that possible ? '' `` Yes , mam . Would you like to pre-order a bottle of wine ? '' `` No thank you , see you soon . '' Question: Who did they have down for six tonight? Option1: Terry and Ed Option2: an entertainer
| Output: Terry and Ed
| 2 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
1.1712067127227783,
0.7559419274330139,
0.05239458382129669,
0.7632580995559692,
0.5183864831924438,
-0.4358415901660919,
0.4015202820301056,
0.7982421517372131,
-0.17994940280914307,
0.1233338862657547,
-0.24587005376815796,
-0.514599084854126,
-0.22420233488082886,
0.07387068122625351,
... |
Detailed Instructions: 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".
Q: Event:PersonX wills never forget. Intent: 1) to be active 2) to adjust 3) to modify
A: | Unknown | 9 | NIv2 | task923_event2mind_classifier | zs_opt | [
-0.6007108092308044,
0.1531577855348587,
0.17547403275966644,
-0.3452029228210449,
-0.422410249710083,
-1.1777433156967163,
1.7079076766967773,
0.4940400719642639,
-0.0911264419555664,
-0.18110652267932892,
0.30950918793678284,
-0.14203612506389618,
-0.5618480443954468,
-0.0398393310606479... |
Q: In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. For example, if the input list contains two items, you can drop one of the items each time. So the output should be a list comprising two inner lists that you have created by decreasing the items.
['b', 'p', 'j', 'P', 'H', '3', '5']
A: | [['b', 'p', 'j', 'P', 'H', '3'], ['b', 'p', 'j', 'P', 'H', '5'], ['b', 'p', 'j', 'P', '3', '5'], ['b', 'p', 'j', 'H', '3', '5'], ['b', 'p', 'P', 'H', '3', '5'], ['b', 'j', 'P', 'H', '3', '5'], ['p', 'j', 'P', 'H', '3', '5']] | 7 | NIv2 | task208_combinations_of_list | zs_opt | [
-0.18182791769504547,
0.2825208306312561,
-0.47692400217056274,
0.24156928062438965,
0.4888726472854614,
-0.4405934810638428,
0.5954986214637756,
0.22525136172771454,
0.2565336227416992,
0.09089338779449463,
-0.5513301491737366,
0.23931634426116943,
-0.022981880232691765,
0.063582852482795... |
Given a scientific question, generate a correct answer to it.
Input: Consider Input: What is the period during which humans become sexually mature called?
Output: puberty
Input: Consider Input: What are female gonads normally called?
Output: ovaries
Input: Consider Input: What is generated when a heart ventricle contracts?
| Output: blood pressure
| 2 | NIv2 | task591_sciq_answer_generation | fs_opt | [
0.6155006885528564,
0.5640705227851868,
-0.8529486656188965,
0.0795784667134285,
-0.42258933186531067,
-0.21639029681682587,
-0.7804175615310669,
-0.07094287127256393,
0.06086248159408569,
0.10809637606143951,
-0.2525966763496399,
0.08657196164131165,
-1.1183135509490967,
-0.30657178163528... |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Input: نمی توانی عذر و بهانه را منتشر کنی. "" دهانم خيلي خشک شده بود — احتمالا به خشكي امروز دهانم الان نبود — ولی دهانم واقعا خشک شده بود.
Output: | E non podes publicar escusas "". Tiña a boca seca, quizais non tanto como agora, pero tiña a boca moi, moi seca. | 3 | NIv2 | task1270_ted_translation_fa_gl | zs_opt | [
-0.6519473195075989,
0.960298478603363,
-0.047067247331142426,
-0.7508876323699951,
-1.0692076683044434,
-0.27642273902893066,
-0.21469613909721375,
0.550195574760437,
-0.09784659743309021,
-0.8704195022583008,
-0.555733323097229,
0.1127142459154129,
-0.6955960988998413,
0.652053713798523,... |
Given the task definition and input, reply with output. Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
Bucks usually have antlers by their second year, and ____ points by the fifth.
| eight | 5 | NIv2 | task1359_numer_sense_answer_generation | zs_opt | [
-0.4015515446662903,
0.7060361504554749,
0.018617095425724983,
0.45137256383895874,
-0.37680989503860474,
-0.2890629172325134,
0.5531071424484253,
0.05698605626821518,
0.3367968499660492,
-0.31195712089538574,
-0.23365619778633118,
0.15319684147834778,
-0.6383999586105347,
0.19295382499694... |
In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
Ex Input:
(A) not wanting my future kid to go to public school
(B) not wanting to go out with my sister
Ex Output:
A
Ex Input:
(A) getting mad at somebody depressed and suicidal for going offline without notice
(B) not wanting visitors at the hospital
Ex Output:
A
Ex Input:
(A) not getting involved in my fiancés sister and mothers fight over her troubled son
(B) calling my wife out
Ex Output:
| A
| 1 | NIv2 | task106_scruples_ethical_judgment | fs_opt | [
-0.23632580041885376,
0.5045685768127441,
0.2686200737953186,
-0.4500811696052551,
-0.4940991997718811,
0.029998641461133957,
0.03413113206624985,
0.6228614449501038,
0.3858492970466614,
0.5479103326797485,
-0.37525421380996704,
0.04389209300279617,
0.20702491700649261,
-0.9922410249710083... |
Q: 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 has a really great time<sep>Tail: to do it again sometime
A: | Yes | 7 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.14396430552005768,
0.4771875739097595,
0.3387354612350464,
-0.3897581100463867,
-0.42627307772636414,
-0.8056551218032837,
1.394145131111145,
0.19003978371620178,
-0.6569223403930664,
-0.5679274797439575,
-0.3781208097934723,
-0.36584699153900146,
-0.7199697494506836,
0.5303589701652527,... |
Detailed Instructions: In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return the profession with the given gender.
See one example below:
Problem: Sentence: The chief refused to help the attendant with the car because that was his job.
Gender: male
Solution: Attendant
Explanation: The pronoun "he" is linked to the attendant rather than the chief.
Problem: Sentence: The clerk earns more than the guard because she is lazy and careless.
Gender: female
Solution: | Guard | 4 | NIv2 | task343_winomt_classification_profession_anti | fs_opt | [
-0.9953736662864685,
0.6529021263122559,
-0.0007091456791386008,
-0.8185287714004517,
0.1252814531326294,
-0.7216100692749023,
0.33199024200439453,
0.7087787985801697,
0.5502791404724121,
0.23481538891792297,
-1.1331119537353516,
-0.012549875304102898,
-0.7259838581085205,
-0.0486921891570... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Q: Mamy system, w którym tak już jest.
A: Abbiamo questo sistema in cui questo è ciò che si fa.
****
Q: Ed Ulbrich: Oto jak stworzyć cyfrowego człowieka w 18 minut.
A: Ed Ulbrich: Ecco come creare una testa digitale in 18 minuti!
****
Q: Świetnym sposobem nauki jest takie podglądanie pracy innych.
A: | Guardare il lavoro degli altri è un bel sistema per imparare.
****
| 4 | NIv2 | task1262_ted_translation_pl_it | fs_opt | [
-0.8521291017532349,
0.8415391445159912,
-0.16945502161979675,
-0.6311485767364502,
-0.7590767741203308,
-0.4623464345932007,
1.0912227630615234,
0.9873324036598206,
-0.15958909690380096,
-0.33095645904541016,
-0.12652571499347687,
0.8180705308914185,
0.5536349415779114,
0.262932687997818,... |
Given the task definition and input, reply with output. Two analogies that relate actions with their consequences are given in the form "A : B. C : ?". The phrase "A : B" relates action A to consequence B. Your task is to replace the question mark (?) with the appropriate consquence of the given action C, following the "A : B" relation. Your answer should be a single verb, without further explanation.
travel : arrive. hit : ?
| shatter | 5 | NIv2 | task1152_bard_analogical_reasoning_causation | zs_opt | [
0.15507632493972778,
0.9992183446884155,
-0.38429999351501465,
0.3086269497871399,
-0.55681312084198,
-0.0936250314116478,
0.7764725685119629,
0.4226457178592682,
-0.005999278277158737,
-0.5560346245765686,
-0.4261540174484253,
0.4381067454814911,
-0.062121763825416565,
0.01282001100480556... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Input: Finally, in part three, I'm going to describe a cosmological theory called inflation, which will pull all the pieces of the story together.
Output: | Finalmente, na terceira parte, Eu vou descrever uma teoria cosmológica chamada Inflação, que irá juntar todas as peças da história. | 2 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
-0.10929667949676514,
0.40830492973327637,
-0.06257066130638123,
-0.34531691670417786,
-0.5361604690551758,
-0.6140739917755127,
-0.8776057958602905,
0.7783688902854919,
0.22308067977428436,
0.1058889776468277,
-0.27157142758369446,
0.20496758818626404,
-0.17003706097602844,
-0.10519123077... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
One example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Solution is here: អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប៉ូលCនៃពីធីប្រកួតពានរង្វាន់ពិភពលោកនៃកីឡាបាល់ឱបឆ្នាំ2007ដែលប្រព្រឹត្តនៅប៉ាសឌេសប្រីន ក្រុងប៉ារីស បារាំង។
Explanation: This is a correct and accurate translation from Japanese to Khamer because translated text is just paraphrased of Japanese sentence. Also, it preserves the numbers as it is.
Now, solve this: 「あなたは強いサイドを外に出し、ときどき何故と不思議に思う。」
Solution: | អ្នកធ្វើឲ្យក្រុមខ្លាំងចេញ ហើយពេលខ្លះអ្នកឆ្ងល់ថាហេតុអ្វី។ | 6 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
-0.047763533890247345,
0.5717949867248535,
-0.6527467370033264,
0.30494314432144165,
-0.2576988935470581,
-0.444710373878479,
0.677639365196228,
0.39047855138778687,
-0.14329659938812256,
-0.5944961309432983,
-1.337135672569275,
1.0184916257858276,
-1.040393352508545,
0.775191605091095,
... |
In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absolute value. If a negative and positive element have the same absolute value you should return the positive element. The absolute value for negative numbers can be found by multiplying them by -1. After finding the element with the maximum absolute value you should return the value of that element before you applied the absolute value.
Example input: [-11, 2, 3]
Example output: -11
Example explanation: The element with the largest absolute value is -11, since 11 > 3 > 2. This is a good example.
Q: [-10.429 6.298 -1.834 -81.52 39.609]
A: | -81.52 | 3 | NIv2 | task095_conala_max_absolute_value | fs_opt | [
0.41527825593948364,
0.36388611793518066,
-0.27093440294265747,
0.24363118410110474,
-0.19947358965873718,
-0.5419641137123108,
1.1858394145965576,
0.891080379486084,
0.0771440863609314,
-0.16763544082641602,
-0.31560438871383667,
0.3414258658885956,
-0.05166942626237869,
0.112643592059612... |
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 in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
Solution: पहले दो को अविश्वसनीय मानकर बाकी पांच मुखबिरों के आधार पर मुकदमा चलाया गया|
Why? English sentence is properly converted into Hindi sentence because the input also says that the first two were judged to be untrustworthy, thus the prosecution relied heavily on the testimony of the remaining five approvers.
New input: The number of deaths from tuberculosis has been reduced dramatically and deaths form illness such as whooping cough or measles are very rare .
Solution: | टीबी रोग से होने वाली मऋतों में भी भारी कमी आयी है.हूपिंग कफ ह्यकाली खांसीहृ अथवा खसरा ह्यमीजल्सहृ के प्रकोप से अब शायद ही कोऋ जान जाती हो । | 0 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
0.5177249908447266,
0.18119007349014282,
0.3526132106781006,
0.32694101333618164,
0.34979867935180664,
-0.622782826423645,
0.008132240734994411,
0.625746488571167,
0.08515480905771255,
0.018275978043675423,
-0.890387773513794,
-0.3503320813179016,
0.11310368031263351,
0.40347373485565186,
... |
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.
The conversation with this woman was amazing.
joy
My sister found herself in a heartbreaking situation.
sadness
The conversation with Josh was horrible.
| fear
| 0 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.6489309072494507,
0.5355621576309204,
0.3881482779979706,
-0.5549967288970947,
-0.17911943793296814,
-0.1656661331653595,
0.753951907157898,
0.41070273518562317,
0.6161890029907227,
-0.1237146407365799,
-0.813063383102417,
-0.6978933811187744,
-0.15736660361289978,
-0.13072645664215088,... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.