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Q: In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Same great taste as the honeybush tea bags, but so much more green! Thank you for packaging this in bulk!
A:
|
Much better than tea bags
| 7
|
NIv2
|
task589_amazonfood_summary_text_generation
|
zs_opt
|
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] |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Q: Cada homem merece a oportunidade de aspirar a algum luxo.
A:
|
「全ての男性にはちょっとばかりの贅沢を生やす権利があるわ」と
| 9
|
NIv2
|
task1275_ted_translation_pt_ja
|
zs_opt
|
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] |
instruction:
In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have two languages at a time.
question:
This is in harmony with Jesus’ prayer recorded at John 17:26: ‘I have made your name known to them and will make it known.’” We are grateful for Jehovah’s continued blessing on our commission to preach the good news to the entire inhabited earth, which is largely made possible due to our translation work.
answer:
English
question:
Ọ̀gá Àgbà, mo nírètí pé ẹ máa lóye ìdí ti mi ò fi ní sẹ́ ìgbàgbọ́ tí mo ní nínú Ọlọ́run àti ìdí kò fi sí ẹ̀ṣẹ̀ nínú kéèyàn gba Ọlọ́run gbọ́.
answer:
Yoruba
question:
Ní Friday, August 30, 2019, Arákùnrin Valeriy Moskalenko sọ ọ̀rọ̀ àsọkágbá rẹ̀ fún ilé ẹjọ́.
answer:
|
Yoruba
| 9
|
NIv2
|
task1621_menyo20k-mt_en_yo_language_identification
|
fs_opt
|
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] |
Teacher:In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that define what the this logical operator does) of each logical operator between '{}' parenthesis. Here are the definitions of logical operators that you can use while generating 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.
Teacher: Now, understand the problem? Solve this instance: select the rows whose year joined record is equal to 1953 . the number of such rows is 4 .
Student:
|
eq { count { filter_eq { all_rows ; year joined ; 1953 } } ; 4 }
| 6
|
NIv2
|
task210_logic2text_structured_text_generation
|
zs_opt
|
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] |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentences must be different in terms of trigger words (e.g., "small" and "big") which express contrasting properties about the two objects. The answer must not be associated with the trigger word; instead, it should depend on the context present in twin sentences. Also, the answers should not be ambiguous. For each sentence, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use animals and proper nouns (e.g., New York, Macbook, Jeff Bezos, McDonald's, ...) as your objects. Avoid repeating the same style or phrase in twin sentences. E.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that ObjectX and Y have the same number e.g. when ObjectX is singular, ObjectY must be singular, too. The two objects (ObjectX & ObjectY) should be used ONCE in each sentence. Here is a list of contrastive words that may be used as trigger words. You should create more such trigger words and use them in your twin sentences.
| Attribute | triggerword | contrastive triggerword |
| age | old | new |
| altitude | low | high |
| area | small | vast |
| brightness | dark | light |
| clarity | obscure | clear |
| cleanness | dirty | clean |
| complexity | simple | complex |
| cost | cheap | expensive |
| density | sparse | dense |
| depth | shallow | deep |
| distance | near | far |
| electric conductivity | low | high |
| flexibility | rigid | flexible |
| granularity | fine | coarse |
| hardness | soft | hard |
| length | short | long |
| magnitude | small | large |
| mass | small | large |
| odor | weak | strong |
| pressure | low | high |
| resistance | low | high |
| shape | round | sharp |
| shape | flat | spiky |
| size | small | large |
| sound | quiet | loud |
| sound pitch | low | high |
| speed | slow | fast |
| stability | unstable | stable |
| strength | weak | strong |
| temperature | low | high |
| texture | smooth | rough |
| thermal conductivity | low | high |
| thickness | thin | thick |
| volume | small | large |
| weight | light | heavy |
| width | narrow | wide |
| location | in | out |
| location | up | down |
| location | above | below |
| location | on | off |
| location | to | from |
One example is below.
Q: Context word: fit.
A: Sentence 1: The trophy doesn't fit into the brown suitcase because _ is too large.
Answer1: trophy.
Sentence 2: The trophy doesn't fit into the brown suitcase because _ is too small.
Answer2: suitcase.
Rationale: Here, the two objects are "trophy" and "suitcase". The trigger words are "large" and "small". Everything else (apart from the trigger words) are the same in the two sentences. The two sentences have different answers, which are the two objects ("trophy" and "suitcase").
Q: Context Word: lecture.
A:
|
Sentence 1: The lecture went on forever and the students started leaving the classroom to get to the _ they had next.
Answer1: lecture.
Sentence 2: The lecture went on forever and the students started leaving the classroom before they were late to the _ they had next.
Answer2: classroom.
| 9
|
NIv2
|
task029_winogrande_full_object
|
fs_opt
|
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Q: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
I_TURN_LEFT I_RUN I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP
A:
|
jump around left twice after run left
| 7
|
NIv2
|
task127_scan_long_text_generation_action_command_all
|
zs_opt
|
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] |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example: Review: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually funny! Maureen Stapleton is a scene stealer. The Moroni character is an absolute scream. Watch for Alan The Skipper Hale jr. as a police Sgt. Question: is it a positive review?
Example solution: yes
Example explanation: There is an expression of appreciation in this movie review, hence we can say it's positive. So generated label is 'yes'.
Problem: Review: Cannot believe my eyes when read quite a bunch of other comments and reviews. As if it were a mediocre movie of some run-of-the-mill dudes.The movie is great, funny, crazy, over-the-top violent though with minimum gore, and all the way energetic to the core. Loved every single bit of it. Can't remember anything insane like this made for laughs and martial art showing off. And now the most important thing (at least to me): it is computer effects free. When I watch some Hollywood actors duking it out on screen in modern high-resolution and damn high-budgeted action "fuflo" (a Russian word that means "bull*beep*"), I understand that any *beep* child can do it - you can adjust the wires to the body, add some cute PC effects, and stuff it into the action film. Here it is different. I don't think that there will be even a dozen of physically advanced action stars worldwide, who can repeat the brawl that takes place at the end of the film or the "Chinese football" play. And it is just a little Hong Kong cinema made for fun, not pretending to be "Star Wars".Having a DVD with English soundtrack is not a problem with this movie. It does not spoil the atmosphere to me.Can't help mentioning a very neat theatrical play. Some of you, suppose, won't like it. As to me - it's amazing. Have a look at the Dragon's friend who is talking in a brave manner to the criminals and all of a sudden gets a fist punch in his left side of the head. His face expression changes into something whimsical and he comes up to Dragon with a baby expression. And take a look at the menacing size of his mouth - it's nearly from one ear to the other long when he makes grimaces.This movie deserves a higher rating and a thousand comments from people all over the world. Very thankful to our Russian industry for the releases of classic Jackie Chan movies. His modern ones are much weaker in my humble opinion and do not deserve much hype.Total 10 out of 10 - a legendary movie in its genre. Thank you for attention. Question: is it a negative review?
|
Solution: no
| 5
|
NIv2
|
task285_imdb_answer_generation
|
fs_opt
|
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] |
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.
Example Input: Category: WORD HISTORY
Clue: Since the 1600s this 8-letter word has meant men of letters; a punning form of it refers to celebrities
Example Output: literati
Example Input: Category: WOMEN IN HISTORY
Clue: In an 1863 essay Harriet Beecher Stowe called this woman whom she had met with "The Libyan Sibyl"
Example Output: sojourner truth
Example Input: Category: FOOD & DRINK HISTORY
Clue: Its original name meant "Bitter Water" & it was made palatable to Europeans after the Spaniards added sugar
Example Output:
|
chocolate
| 3
|
NIv2
|
task307_jeopardy_answer_generation_final
|
fs_opt
|
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Part 1. Definition
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct answer is the holding statement that corresponds to the citing text. You should write an incorrect option. Even though there exist multiple wrong answers, we only need a single wrong answer. There is a <HOLDING> token in the position of the citing text prompt where the holding statement was extracted.
Part 2. Example
Drapeau’s cohorts, the cohort would be a “victim” of making the bomb. Further, firebombs are inherently dangerous. There is no peaceful purpose for making a bomb. Felony offenses that involve explosives qualify as “violent crimes” for purposes of enhancing the sentences of career offenders. See 18 U.S.C. § 924(e)(2)(B)(ii) (defining a “violent felony” as: “any crime punishable by imprisonment for a term exceeding one year ... that ... involves use of explosives”). Courts have found possession of a'bomb to be a crime of violence based on the lack of a nonviolent purpose for a bomb and the fact that, by its very nature, there is a substantial risk that the bomb would be used against the person or property of another. See United States v. Newman, 125 F.3d 863 (10th Cir.1997) (unpublished) (<HOLDING>); United States v. Dodge, 846 F.Supp. 181,, Holding statements: (A) holding that possession of a pipe bomb is a crime of violence for purposes of 18 usc 3142f1 (B) holding that bank robbery by force and violence or intimidation under 18 usc 2113a is a crime of violence (C) holding that sexual assault of a child qualified as crime of violence under 18 usc 16 (D) holding for the purposes of 18 usc 924e that being a felon in possession of a firearm is not a violent felony as defined in 18 usc 924e2b (E) holding that a court must only look to the statutory definition not the underlying circumstances of the crime to determine whether a given offense is by its nature a crime of violence for purposes of 18 usc 16
Answer: holding that bank robbery by force and violence or intimidation under 18 usc 2113a is a crime of violence
Explanation: It's a good example. Based on the given prompt, holding that possession of a pipe bomb is a crime of violence for purposes of 18 usc 3142f1 is correct.
Part 3. Exercise
The court ultimately concluded, however, that the danger Mendoza posed to the community — evidenced by the fact that, despite his relatively young age (twenty-five), Mendoza had a history of using aliases, two convictions for driving while impaired, and a prior conviction for assault with a deadly weapon — trumped any leniency that these factors might otherwise support. Thus, the court opined that an upward variance was necessary to protect the public from any further crime Mendoza may commit. See 18 U.S.C. § 3553(a)(2)(C). We thus conclude the district court’s well-reasoned explanation amply justified the extent of the variance it imposed. Because there was no abuse of discretion in the district court’s reasoning in this case, we will defer to it. See Diosdado-Star, 630 F.3d at 366-67 (<HOLDING>); see also United States v. Jeffery, 631 F.3d
Holding statements: (A) holding sentencing courts decision to impose a sentence six years longer than advisory guidelines range was reasonable because district court employed 3553based reasoning to justify the variance (B) holding sentence within properly calculated advisory guidelines range is presumptively reasonable (C) holding a sentence within the advisory guidelines range is presumptively reasonable (D) holding that district courts decision to exceed the advisory sentencing range in chapter 7 of the sentencing guidelines ussg 7b14 is reviewed for an abuse of discretion (E) holding booker error is avoided when district court calculates proper guidelines sentencing range treats guidelines as advisory and imposes reasonable sentence
Answer:
|
holding sentence within properly calculated advisory guidelines range is presumptively reasonable
| 7
|
NIv2
|
task287_casehold_legal_incorrect_answer_generation
|
fs_opt
|
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] |
In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
Q: [-14.357, 78.851, 239.415, 209.764, -29.023, -3.986, 206.662, -69.088]
A:
|
77.28
| 4
|
NIv2
|
task094_conala_calculate_mean
|
zs_opt
|
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] |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question to be answered. Each step in our decomposition should refer to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.)
Here are the list of step templates and their description:
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
question: What are the distinct creation years of the departments managed by a secretary born in state 'Alabama'?
Solution: #1 return secretaries
#2 return #1 born in state 'Alabama
#3 return departments managed by #2
#4 return distinct creation years of #3
Why? Referring to previous steps is vital in constructing multi-step decompositions. In this example each step refers to the step before to perform a single filter on it to reach the final result.
New input: question: What color is the small cylinder in front of the shiny green ball?
Solution:
|
#1 return ball
#2 return #1 that is green
#3 return #2 that is shiny
#4 return cylinder
#5 return #4 that is small
#6 return #5 in front of #3
#7 return color of #6
| 0
|
NIv2
|
task176_break_decompose_questions
|
fs_opt
|
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] |
Definition: Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Input: Problem: at a recent small town election for mayor a total of 963 votes were cast for the 4 candidates, the winner exceding his opponents by 53, 79 and 105 votes, respectively. how many votes were cast for each candidate ?
Options: a. 134, b. 178, c. 195, d. 166, e. 194
Output:
|
c
| 2
|
NIv2
|
task1678_mathqa_answer_selection
|
zs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.
['8363', 'u', '5191']
Output:
|
8363, 21, 5191
| 1
|
NIv2
|
task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet
|
zs_opt
|
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] |
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.
[EX Q]: [[4, 31, -29], [-5, 40, -8, -9], [-40, 16], [-32, 1, 10], [-1, 23, -43], [-12, 48], [-7, -1, -19]]
[EX A]: [-3596, -14400, -640, -320, 989, -576, -133]
[EX Q]: [[-6, 33, -7, -46], [25, -23, -37], [36, 38, 22, 30], [25, 50]]
[EX A]: [-63756, 21275, 902880, 1250]
[EX Q]: [[41, -13, 29, -18, -30], [35, -4, 44], [48, -43, -41], [-17, -28], [40, -11], [-10, -49, -47]]
[EX A]:
|
[-8346780, -6160, 84624, 476, -440, -23030]
| 6
|
NIv2
|
task371_synthetic_product_of_list
|
fs_opt
|
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] |
In this task, you are given a question. You have to answer the question based on your information.
Gedeon Burkhard appeared as Corporal Wilhelm Wicki in what film that was written and directed by Quentin Tarantino?
|
Inglourious Basterds
| 0
|
NIv2
|
task1293_kilt_tasks_hotpotqa_question_answering
|
zs_opt
|
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] |
Given the task definition and input, reply with output. 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: <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના સૌરાષ્ટ્ર વિસ્તારના જૂનાગઢ જિલ્લામાં આવેલા માંગરોળ તાલુકામાં આવેલું એક ગામ છે. આ ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે ઘઉં, જીરુ, મગફળી, તલ, બાજરી, કપાસ, દિવેલા, રજકો તેમ જ અન્ય શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: આંગણવાડી
Option B: સૌરાષ્ટ્ર
Option C: ભારત
Option D: પંચાયતઘર
|
ભારત
| 5
|
NIv2
|
task946_wiki_cloze_gu_multiple_choice_question_answering
|
zs_opt
|
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-0.8667597770690918,
0.16361398994922638
] |
Detailed Instructions: Given a text, write a compressed version of it in a single sentence.
Problem:Ibrahim, who holds dual United States and Egyptian citizenship, is 63 years old and ailing. The verdict should be annulled, not just on humanitarian grounds but because his prosecution is an abrogation of the most basic standards of justice.
Solution:
|
Holding a dual citizenship for the United States and Egypt, Ibrahim is 63 years old and ailing. The verdict should be annulled because his prosecution is an abrogation of justice.
| 8
|
NIv2
|
task1340_msr_text_compression_compression
|
zs_opt
|
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] |
Instructions: Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Input: Les grands enfants ne devraient pas parler à des étrangers.
Output:
|
Les jeunes enfants ne devraient pas parler à des étrangers.
| 3
|
NIv2
|
task406_mickey_fr_sentence_perturbation_generation
|
zs_opt
|
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] |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is potentially offensive to anyone (i.e., a subset of people, any particular person, etc.), 2) no, otherwise. Note that potentially offensive posts can contain sexual, racial, religious biased or offensive language. Warning: the examples and instances may contain offensive language.
Q: RT @Zag_OX: Your girl hold my dick like a wii controller
Where's your bitch, nigga? We control her
A: Yes
****
Q: Real bitches who really hungry won't be out here arguing with bitches on twitter straight flexin
A: No
****
Q: Never let a nigga take advantage of the fact you love him to where he think you supposed to let everything he do slide❗️
A:
|
No
****
| 4
|
NIv2
|
task609_sbic_potentially_offense_binary_classification
|
fs_opt
|
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] |
In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
Some Museums and galleries in Saskatchewan are the, Mackenzie Art Gallery, Remai Modern, Rcmp Heritage Centre, and the Saskatchewan Western Development Museum.
Unfortunately my system isnt showing the Art's of Saskatchewan as available information at this time, but Queen Elizabeth the second and Prince Phillip both visited cities in the province of Saskatchewan, and an Album was issued by Joni Mitchell to Honor their visit to the province.
Thank you for all the interesting facts!!
Could you tell me a little about how there government works, is it like the United States?
I would love to learn about Saskatchewan what could you tell me?
|
Some Museums and galleries in Saskatchewan are the, Mackenzie Art Gallery, Remai Modern, Rcmp Heritage Centre, and the Saskatchewan Western Development Museum.
| 0
|
NIv2
|
task576_curiosity_dialogs_answer_generation
|
zs_opt
|
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] |
Detailed Instructions: Given a comment text in Malayalam, classify the comment into one of these categories (i) Hope speech, (ii) Not Hope Speech or (iii) Not in Expected Language. A hope speech contains content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Q: @The Perfect man yes.... ഒരു രക്ഷയും ഉണ്ടാവില്ല
A:
|
Hope Speech
| 9
|
NIv2
|
task681_hope_edi_malayalam_text_classification
|
zs_opt
|
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] |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Q: De repente, la densidad del aire no es la misma.
A:
|
All of a sudden the density of the air is no longer the same.
| 9
|
NIv2
|
task1226_ted_translation_es_en
|
zs_opt
|
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] |
Given a sentence, generate a new 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.
Example input: Stimulating the mind helps the brain to grow essential neural cells .
Example output: Stimulating the learning helps the brain to grow new neural cells .
Example explanation: This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about growing essential neural cells and the changes in the sentence follows the commonsense knowledge.
Q: You would join the army because you want to continue your country .
A:
|
You would join the army because you order to work your country .
| 3
|
NIv2
|
task413_mickey_en_sentence_perturbation_generation
|
fs_opt
|
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] |
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the question. Note that the answer to the question should be exactly the given answer, and if the answer is none, the answer to the question shouldn't be obtainable from the passage or linked information.
Passage: Fin Donnelly (born May 27, 1966) is a Canadian politician, who was elected to the House of Commons of Canada to represent the electoral district of Port Moody—Coquitlam. He is a member of the New Democratic Party. Donnelly was first elected as a member of parliament in a by-election on November 9, 2009, in the New Westminster—Coquitlam electoral district. In the one year he spent in the 40th Canadian Parliament, he acted as the party's fisheries critic and introduced six private member bills. He was re-elected in 2011 and in the ensuing 41st Parliament he re-introduced the same six bills, two of which, concerning the crime of luring a child were adopted, were adopted in the Safe Streets and Communities Act. He also introduced the bill titled Ban on Shark Fin Importation Act which was voted upon but defeated by the Conservative Party majority. He acted was the official opposition's critic on Fisheries and Oceans until the 2012 leadership election after which Tom Mulcair moved him over to critic on Western Economic Diversification and then demoted him to role of deputy critic. Donnelly again won re-election in the 2015 federal election and was promoted back to fisheries critic. In the 42nd Parliament he re-introduced his previous bill to make closed containment facilities mandatory for commercial finfish aquaculture but the bill was defeated.
Link Information: Thomas Joseph Mulcair (born October 24, 1954) is a retired Canadian politician from Quebec Answer: retired
|
What position does the person who moved Donnelly to Western Economic Diversification currently hold?
| 0
|
NIv2
|
task236_iirc_question_from_passage_answer_generation
|
zs_opt
|
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] |
Definition: You are given a list of queries separated by new line. Your job is to answer with the query that is the most well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Input: You want to no about child support ?
How many miles between North Korea and Alaska ?
What is wyoming 's state borders ?
What year did julius caesar marry calpurnia pisonis ?
Output:
|
What year did julius caesar marry calpurnia pisonis ?
| 2
|
NIv2
|
task675_google_wellformed_query_sentence_generation
|
zs_opt
|
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] |
This task is to translate a news commentary statement given in German language into Spanish language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Q: Warum brauchen Piemontesen, Bayern oder Schotten eine Bürokratie auf nationaler Ebene für ihre Steuerpolitik, Wohlfahrtssysteme, Sicherheitsgesetze und die größtenteils nutzlosen, ihre Mängel lediglich vervielfachenden Armeen?
A:
|
¿Por qué los piemonteses, los bávaros o los escoceses necesitan burocracias nacionales intermedias para administrar sus políticas fiscales, sus programas de bienestar, sus leyes de seguridad y sus duplicados y en mayor parte innecesarios ejércitos?
| 4
|
NIv2
|
task1373_newscomm_translation
|
zs_opt
|
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] |
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it should feel like it is written by younger person without high level of literature education.
Q: Sticks
A:
|
there once be a boy name nick who would play all day with stick hea'd play all day in the hay with his best friend ricky rick
| 4
|
NIv2
|
task1711_poki_text_generation
|
zs_opt
|
[
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] |
Detailed Instructions: In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
See one example below:
Problem: Hi. I want information about Namibia.
Nmbia is a country in southern Africa.
Do you have information about the media there?
What about it?
Interesting! What can you tell me about the politics and government?
Solution: Nmbia is a country in southern Africa.
Explanation: This is a good example. The output is the response to the question asked by the user.
Problem: Hello. I would like some information on Qatar.
Qatar seems like a really cool place to visit.
Wow, that is interesting. Are there any other facts about the economy of Qatar you can share?
The U.S. is a major supplier of equipment for their oil and gas industry and U.S. companies play a big role in gas field development.
I do not have that information at this time. Would you like other economic facts?
Solution:
|
The U.S. is a major supplier of equipment for their oil and gas industry and U.S. companies play a big role in gas field development.
| 4
|
NIv2
|
task576_curiosity_dialogs_answer_generation
|
fs_opt
|
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Teacher: In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Question: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin? Passage 1: 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,
. Passage 2: John Ford (1894–1973) was an American film director whose career spanned from 1913 to 1971. During this time he directed more than 140 films. Born in Maine, Ford entered the filmmaking industry shortly after graduating from high school with the help of his older brother, Francis Ford, who had established himself as a leading man and director for Universal Studios. After working as an actor, assistant director, stuntman, and prop man – often for his brother – Universal gave Ford the opportunity to direct in 1917. Initially working in short films, he quickly moved into features, largely with Harry Carey as his star. In 1920 Ford left Universal and began working for the Fox Film Corporation. During the next ten years he directed more than 30 films, including the westerns The Iron Horse (1924) and 3 Bad Men (1926), both starring George O'Brien, the war drama Four Sons and the Irish romantic drama Hangman's House (both 1928 and both starring Victor McLaglen). In the same year of these last two films, Ford directed his first all-talking film, the short Napoleon's Barber. The following year he directed his first all-talking feature, The Black Watch.
. Passage 3: Since the late 1970s, the central part of NYU is its Washington Square campus in the heart of Greenwich Village. Despite being public property, and expanding the Fifth Avenue axis into Washington Square Park, the Washington Square Arch is the unofficial symbol of NYU. Until 2008, NYU's commencement ceremony was held in Washington Square Park. However, due to space constraints, ceremonies are now held at the Yankee Stadium. Important facilities at Washington Square are the Elmer Holmes Bobst Library, designed by Philip Johnson and Richard Foster, who also designed several other structures, such as Tisch Hall, Meyer Hall, and the Hagop Kevorkian Center. When designing these buildings Johnson and Foster also set up a master plan for a complete redesign of the NYU Washington Square campus. However, it was never implemented. Other historic buildings include the Silver Center (formerly known as "Main building"); the Brown Building of Science; Judson Hall, which houses the King Juan Carlos I of Spain Center; Vanderbilt Hall, the historic townhouse row on Washington Square North; The Grey Art Gallery at 100 Washington Square East, housing the New York University art collection and featuring museum quality exhibitions; the Kaufman Management Center; and the Torch Club – the NYU dining and club facility for alumni, faculty, and administrators. Just a block south of Washington Square is NYU's Washington Square Village, housing graduate students and junior and senior faculty residences in the Silver Towers, designed by I. M. Pei, where an enlargement of Picasso's sculpture Bust of Sylvette (1934) is displayed.
.
Solution: 1
Reason: The question refers to the 704th unit and task about war which is decribed by Passage 1.
Now, solve this instance: Question: What century was this architecture popular? Passage 1:This article lists those who were potential candidates for the Democratic nomination for Vice President of the United States in the 1992 election. Arkansas Governor Bill Clinton won the 1992 Democratic nomination for President of the United States, and chose Tennessee Senator Albert Gore, Jr. as his running mate on July 9, 1992. Clinton considered roughly forty different candidates for vice president, including those who did not hold elective office, but Clinton ultimately chose Gore, a two-term Senator who had previously run for president in 1988. Former Assistant Secretary of State Warren Christopher led Clinton's vice presidential selection team. In making the selection, Clinton emphasized Gore's experience with foreign policy and environmental issues. Clinton's choice of a fellow young southern centrist defied conventional wisdom, but the choice of Gore was well-received, and Gore made an effective surrogate on the campaign trail. The Clinton-Gore ticket ultimately defeated the Republican Bush-Quayle ticket and the independent Perot-Stockdale ticket, and the Clinton-Gore duo became the youngest ticket in history to win a presidential election.
Passage 2:The Washington Nationals' 2012 season was the eighth season for the baseball franchise of Major League Baseball in the District of Columbia, the fifth season at Nationals Park, and the 44th since the original team was started in Montreal, Quebec. After finishing the previous season in third place with an 80–81 record, out of last place in the NL East for the second time since moving to Washington, the Nationals made several moves to pursue playoff contention in 2012 and beyond. Despite being plagued with injuries, the Nationals had an impressive start to the season, never dropping below the .500 mark and consistently holding first or second place in their division. On September 3, the Nationals won their 82nd game of the season, making this season their first winning season since moving to Washington, D.C. in 2005 and the first for the franchise since 2003. On September 20, the Nationals beat the Los Angeles Dodgers to clinch the franchise's first postseason berth since 1981, and the first for a Washington-based team since the Washington Senators won the American League pennant in 1933. On October 1, the Nationals clinched the National League East division. On October 3, they went on to clinch the best record in Major League Baseball at 98-64. They finished the season with a 98-64 record and played the St. Louis Cardinals in the Divisional Series. On October 12, in Game 5 of the NLDS, they lost to the Cardinals 9-7 and were eliminated.
Passage 3:St. Raphael's is a high Gothic Revival structure, built of sandstone from Berea. Since construction in the 1890s, it has been one of Springfield's most distinctive buildings, due in large part to its two front towers — the bell tower is high, and the principal tower . By climbing 156 steps to the summit of the principal tower, one gains a panoramic view of the city and surrounding countryside. The building's general plan is that of a streamlined Latin cross, with slight gabled projections near the rear forming the crosspieces. Three entrances pierce the facade, while lancet windows of similar height are placed at varying locations in the towers, and two-story windows fill the side bays. Widest and tallest are the windows placed in the rear-side projections and above the entrances on the facade. Both towers are topped with pointed roofs, surrounded by ornamental pointed roofs of far smaller sizes, while the roof of the main part of the church is a steep gable. Despite extensive Gothic Revival detailing, such as the pointed-arch windows and doorways, the building also retains some elements of the Romanesque Revival style, including the false buttresses and columns around the main entrance, as well as the sheer massing of both towers. By the time that the building was complete, parishioners had spent $75,000 on construction and ancillary costs. The architect for St. Raphael's was Charles A. Cregar, first among architects native to Springfield. Cregar was responsible for numerous grand buildings in Springfield, including City Hall, and St. Raphael's is among the chief examples of his work.
Student:
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3
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|
NIv2
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task230_iirc_passage_classification
|
fs_opt
|
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] |
Teacher:Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) original network, 15) parent company, 16) point in time, 17) production company, 18) residence, 19) series, 20) service entry, 21) sex or gender, 22) spouse, 23) standards body question.
Teacher: Now, understand the problem? Solve this instance: Context : Connor McDavid (born January 13, 1997) is a Canadian ice hockey centre playing with the Edmonton Oilers of the National Hockey League (NHL).
Question : What team is Connor McDavid associated with?
Student:
|
drafted by
| 6
|
NIv2
|
task1328_qa_zre_relation_generation_from_question
|
zs_opt
|
[
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] |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Ex Input:
Tienes razón, te equivocas. Eres verdad, eres falso.
Ex Output:
أنت على حق ، لست على حق. أنت حقيقي ، أنت مزيف.
Ex Input:
Así que las nombramos las botas frescas.
Ex Output:
لذلك نصف هذه باحذية التبريد.
Ex Input:
Es una medida de eficiencia.
Ex Output:
|
فهو مقياس كفاءة.. وحسن أداء
| 1
|
NIv2
|
task1228_ted_translation_es_ar
|
fs_opt
|
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] |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimals in the output. Zero should be counted as an even integer.
Q: [64, -32, -43, -86, -78, -2, -97, -21, 66, -34]
A:
|
[16.0, -8.0, -170, -21.5, -19.5, -0.5, -386, -82, 16.5, -8.5]
| 4
|
NIv2
|
task368_synthetic_even_or_odd_calculation
|
zs_opt
|
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] |
Teacher: The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Given such a dialogue, output the price range the user if looking for which can take one of four values: Cheap, Moderate, Expensive and Don't Care. Output cannot be any other value than the four values. Note that if the user asks for the prices of items provided at a pub, restaurant or coffee shop but doesn't mention the price range they are looking for then the correct classification will be Don't Care. If the user does not mention a particular price, the correct classification will be Don't Care.
Teacher: Now, understand the problem? If you are still confused, see the following example:
System: 'Thank you for calling the Cambridge Information system. Your call will be recorded for research purposes. You may ask for information about a place to eat, such as a restaurant, a pub, or a cafe. How may I help you?'
User: 'im looking for a moderately priced coffee shop'
System: 'Are you looking for somewhere near a particular venue? For example, Cambridge Contemporary Art, Great Saint Mary's Church, or Primavera.'
User: 'no im not'
System: 'Cafe Eleven, which is in the moderate price range, is an outstanding cafe.'
User: 'can i get the phone number and the postcode'
System: 'The phone number of Cafe Eleven is 01223369157. It's in the area with the postcode CB1 1DG.'
User: 'thank you goodbye'
Solution: Moderate
Reason: The user mentions that they are looking for a moderately priced coffee shop.
Now, solve this instance: System: 'Thank you for calling the Cambridge Information system. Your call will be recorded for research purposes. You may ask for information about a place to eat, such as a restaurant, a pub, or a cafe. How may I help you?'
User: 'yes im looking for a cheap coffee shop'
System: 'Are you looking for somewhere near a particular venue? For example, the Botanic Garden, the Saint Barnabas Press Gallery, or the Whipple Museum of the History of Science.'
User: 'any area'
System: 'Clowns, which is a great cafe and an outstanding restaurant, is in the cheap price range.'
User: 'yes can i get the address and the price then'
System: 'Clowns is located on 54 King Street. The price for main courses ranges from 5 pounds to 11 pounds and the price for a cappuccino is 1 pound 50.'
User: 'ok thank you goodbye'
Student:
|
Cheap
| 2
|
NIv2
|
task1500_dstc3_classification
|
fs_opt
|
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] |
In this task, you are given reviews written about the books in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
অনুবাদ এর ভাব আরও ভালো করা উচিত। কেননা কিছু কিছু লাইনে লেখকের লেখার মাধুর্য একেবারে হারিয়ে গিয়েছে।
|
negative
| 0
|
NIv2
|
task1497_bengali_book_reviews_sentiment_classification
|
zs_opt
|
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] |
Detailed Instructions: In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Q: 3972 aggiunta 621 sottrazione 2428 aggiunta 7212 sottrazione 2196 sottrazione 2933 sottrazione 2215 sottrazione 4589 aggiunta 1933
A:
|
-623
| 9
|
NIv2
|
task086_translated_symbol_arithmetic
|
zs_opt
|
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] |
Q: In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the index of first word is 1.
There is a cow walking next a to calf
A:
|
(7, 8)
| 7
|
NIv2
|
task089_swap_words_verification
|
zs_opt
|
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] |
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.
広報担当者は「亡くなった女性は火傷と同様の傷を負っていて、他の人はこの件に関わっていたとは考えられていない」と言った。
|
Sinabi ng isang tagapagsalita: "Ang namatay na babae ay may sugat na kaugnay sa pagkasunog, walang ibang tao ang pinaniniwalaang nasangkot sa insidente."
| 0
|
NIv2
|
task1118_alt_ja_fil_translation
|
zs_opt
|
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] |
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
Input: Consider Input: Streetlights and traffic lights light up the night on an empty street.
Output: English
Input: Consider Input: ટ્રાફિક પરના વડાઓ સાથે રાત્રે લાલ સ્ટૉટલાઇટ્સ અને સ્ટ્રીટ લાઇટ સાથે સ્ટ્રીટ
Output: Gujarati
Input: Consider Input: A modern bathroom with heated towel racks, bidet, walk-in shower and oblong sink
|
Output: English
| 2
|
NIv2
|
task441_eng_guj_parallel_corpus_gu-en_language_identification
|
fs_opt
|
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] |
Q: In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
['8205', 'z', '8951', '4637', '9613', 'g', '8319']
A:
|
39725
| 7
|
NIv2
|
task499_extract_and_add_all_numbers_from_list
|
zs_opt
|
[
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] |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
3, ['7835', '8157', 'q', '1331', '9025', '8057', '1681', '4049', '5333', 'H', '8769', 'h', 'y']
7835, 8157, q, 1331, 9025, 8057, 1681, 4049, 5333, H
2, ['u', 'Q', '5689', '2415', 'X', 'q', '743']
u, Q, 5689, 2415, X
3, ['6487', 'Q', 'A', '4219', 'a', '7419', '8551', '867', '6375', '4731']
|
6487, Q, A, 4219, a, 7419, 8551
| 0
|
NIv2
|
task078_all_elements_except_last_i
|
fs_opt
|
[
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] |
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
Ex Input:
if that 's the evidence from the car bombing in mexico , we have no legal right to process it .
Ex Output:
if it 's evidence of the bombing in mexico , we have no right to analyze it .
Ex Input:
the way some people can see them and some ca n't !
Ex Output:
how some people see them and others do n't !
Ex Input:
but the stereotype thing got me thinking ... because , let 's see , ramón is latino ...
Ex Output:
|
but the thing with the stereotype made me think , because , let 's see - ramón is cuban .
| 1
|
NIv2
|
task177_para-nmt_paraphrasing
|
fs_opt
|
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] |
TASK DEFINITION: Given a fact, create a question that can be answered using the fact. Construct the question such that it is unambiguous, has a unique answer and the answer can be given using the fact.
PROBLEM: Fact: oceans cover 70% of the surface of the earth
SOLUTION: What substance covers more than sixty nine percent of the third rock from the sun?
PROBLEM: Fact: harming an animal species causes that animal 's population to decrease
SOLUTION: Hunting any kind of animal will eventually cause that species population numbers to?
PROBLEM: Fact: In the cellular respiration process carbon dioxide is a waste product
SOLUTION:
|
We might use our carbon dioxide waste to?
| 8
|
NIv2
|
task1398_obqa_question_generation
|
fs_opt
|
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] |
Teacher: Given a sentence in German, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Die NBA-Saison 1975 - 76 war die 30. Saison der National Basketball Association.
Solution: La temporada 1975 - 76 de la Asociación Nacional de Baloncesto fue la temporada 30 de la NBA.
Reason: This is a correct and accurate translation from German to Spanish because the translated paraphrase retains the main message that between the years 1975-1976, the 30th NBA season occurred.
Now, solve this instance: Der Ladungsspeer ist ein großer Speer, der geladen werden kann, um eine geschärfte organische Klinge zu bilden, mit der sich Gegner treffen können.
Student:
|
La lanza de carga es una lanza grande que se puede "cargar" para formar una cuchilla orgánica afilada que se puede usar para apuñalar a los enemigos.
| 2
|
NIv2
|
task804_pawsx_german_spanish_translation
|
fs_opt
|
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Q: 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.
look opposite left twice and run right
A:
|
I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_RIGHT I_RUN
| 7
|
NIv2
|
task128_scan_structured_text_generation_command_action_short
|
zs_opt
|
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] |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to compose your answer when possible. Do not change the main selected sentence in your answer.
story: Greg picked up his friend. They went off road trucking. The truck got stuck. Greg couldn't get it out himself. Greg got it out with his friend'.
selected sentence: Greg picked up his friend.
Solution: Greg picks up his friend >Causes/Enables> They go off road trucking
Why? The person picking up his friends makes them going off road trucking possible, so this is a correct answer.
New input: story: Jamie ran outside to play in the snow. She climbed up the slide in her backyard. She fell off the slide onto the ground! Jamie started crying loudly because her elbow was bruised. She went back inside to have hot chocolate.
selected sentence: Jamie started crying loudly because her elbow was bruised.
Solution:
|
Jamie cries >Causes/Enables> Jamie stops crying
| 0
|
NIv2
|
task748_glucose_reverse_cause_event_detection
|
fs_opt
|
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] |
Detailed Instructions: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
Problem:Query: I'm looking for information on Rick Warren.
Clarification: what would you like to know about the civil right movement
Solution:
|
No
| 8
|
NIv2
|
task227_clariq_classification
|
zs_opt
|
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] |
Teacher:Translate the given Spanish text to English
Teacher: Now, understand the problem? Solve this instance: The invention herein includes a general method for reducing or eliminating a toxic effect of transgenic defensin expression in a host plant.
Student:
|
La presente invención incluye un método general para reducir o eliminar un efecto tóxico de la expresión de defensina transgénica en una planta huésped.
| 6
|
NIv2
|
task840_para_pdt_en_es_translation
|
zs_opt
|
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] |
Given the task definition and input, reply with output. In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list you should output 0 for that list.
[[10, -43, -1, 19, 25], [21, -49, 26, 48], [2, 30, 49, 32]]
|
[20425, -1029, 49]
| 5
|
NIv2
|
task852_synthetic_multiply_odds
|
zs_opt
|
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] |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
[EX Q]: (Risas) Además de la construcción de estos pequeños robots, también experimentamos con comportamientos agresivos, como ven aquí.
[EX A]: (צחוק) בנוסף לבניית הרובוטים הקטנים האלו, אנחנו מתנסים עם התנהגויות אגרסיביות, כמו זו שאתם רואים פה.
[EX Q]: Básicamente, van a ir a una cita romántica dudosa, o una reunión que puede estar mala.
[EX A]: בעיקרון, אתה יוצא לך לאיזה דייט מעפן, או פגישה רעה אפשרית.
[EX Q]: ¿No podemos todos sistemática y conscientemente infectarnos?
[EX A]:
|
האם כולנו יכולים באופן שיטתי ומתוך כוונה להידבק?
| 6
|
NIv2
|
task1229_ted_translation_es_he
|
fs_opt
|
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Detailed Instructions: In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question to be answered. Each step in our decomposition should refer to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.)
Here are the list of step templates and their description:
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
Q: question: How many yards was the shortest touchdown run
A:
|
#1 return touchdown runs
#2 return yards of #1
#3 return the shortest of #2
| 9
|
NIv2
|
task176_break_decompose_questions
|
zs_opt
|
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] |
Detailed Instructions: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
Q: charles darnay
A:
|
Lucie Manette married Charles Darnay in which Dickens novel?
| 9
|
NIv2
|
task897_freebase_qa_topic_question_generation
|
zs_opt
|
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In this task, you are given Wikipedia articles on a range of topics, we ask you to write a question based on the content of the articles that can be answered in a binary manner i.e. True or False.
--------
Question: Pawn (chess) -- Unlike the other pieces, pawns cannot move backwards. Normally a pawn moves by advancing a single square, but the first time a pawn moves, it has the option of advancing two squares. Pawns may not use the initial two-square advance to jump over an occupied square, or to capture. Any piece immediately in front of a pawn, friend or foe, blocks its advance. In the diagram, the pawn on c4 can move to c5, while the pawn on e2 can move to either e3 or e4.
Answer: does a pawn have to capture a piece
Question: John Winchester (Supernatural) -- Twenty-two years after Mary's death, John disappears while on a hunt, forcing Sam and Dean to reunite in an unsuccessful attempt to find him. Sam returns to the life of a hunter after Azazel kills his girlfriend. John reluctantly chooses to avoid his sons throughout most of the season while he investigates something, eventually reuniting with them in the episode ``Shadow.'' However, the demonic Meg Masters attacks them and reveals that Azazel is after John. After escaping from Meg, the brothers split up from their father to keep him from the demons. When vampires murder his old mentor and steal the Colt--a mystical gun capable of killing anything--John teams up with Sam and Dean in ``Dead Man's Blood'' to retrieve it. Because demons cannot be killed by conventional means, they hope that the Colt will be effective against Azazel. In response, Meg begins killing the Winchesters' friends in ``Salvation,'' and threatens to kill more unless they deliver the Colt. John is captured after trying to give her a fake gun, and reveals himself to be possessed by Azazel when the brothers come to his rescue in the first season finale ``Devil's Trap.'' However, he manages to resist the demon's control. Despite John's pleas for Sam to shoot him with the Colt, Sam cannot bring himself to do so and allows Azazel to escape. As the Winchesters flee in Dean's Impala, a demonically-possessed trucker crashes into them.
Answer: do sam and dean find their dad in season 1
Question: Human genetic variation -- No two humans are genetically identical. Even monozygotic twins (who develop from one zygote) have infrequent genetic differences due to mutations occurring during development and gene copy-number variation. Differences between individuals, even closely related individuals, are the key to techniques such as genetic fingerprinting. As of 2017, there are a total of 324 million known variants from sequenced human genomes. As of 2015, the typical difference between the genomes of two individuals was estimated at 20 million base pairs (or 0.6% of the total of 3.2 billion base pairs).
Answer:
|
can 2 people's dna be the same
| 7
|
NIv2
|
task1660_super_glue_question_generation
|
fs_opt
|
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] |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
One example: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Solution is here: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Explanation: The Farsi sentence is correctly translated into Japanese, because the meaning is preserved.
Now, solve this: حالا توی این عکسی که اینجا میبینیم چی هست ؟
Solution:
|
ここまでで何が分かったのでしょうか?
| 6
|
NIv2
|
task1266_ted_translation_fa_ja
|
fs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
In this task, you are given dvd product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Unglaublich dichte Atmosphäre! . Ein unglaublich gut gespielter Thriller in welchem die beiden Hauptakteure brillieren, aber auch die anderen Rollen bestens besetzt sind. Die Story ist reich an Peripetien, die immer wieder für atemberaubende Spannung sorgen, weil sie es der Handlung nicht erlauben sich einfach so fort zu entwickeln. Die Wendungen sind drastisch und sorgen dafür, dass in diesem fast nichts so ist, wie es zu sein scheint. Erst bei der Auflösung kann man sicher sein, wer der Gute, wer der Böse ist. Man könnte an eine klassische Christiegeschichte denken, aber hier ist es eben mehr, und viel kompli-zierter, und es fehlt die Gemächlichkeit der Handlungsentwicklung. Das harte, zum Teil lebensfeindliche Setting Florida tut ein Übriges und verleiht dem Film noch einmal eine dichtere Atmosphäre, er wird fast zum Mysterium. Ein sehr gelungener Film, der erstaunlicherweise nicht sehr bekannt wurde.
Output:
|
POS
| 1
|
NIv2
|
task480_cls_german_dvd_classification
|
zs_opt
|
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] |
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 inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Solution: 931, 7, 3432, 13245, 762
Why? Here, all the elements except the first 3 from the list are '931', '7', '3432', '13245', and '762'.
New input: 5, ['8459', 'V', 'g', '1601', 'a', '6775', '5421', '453', 'A', '5189', 'J', 'h', '179', 'S', 'w', 'x', '9505', 'u']
Solution:
|
6775, 5421, 453, A, 5189, J, h, 179, S, w, x, 9505, u
| 0
|
NIv2
|
task064_all_elements_except_first_i
|
fs_opt
|
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] |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
One example is below.
Q: życiu stawić czoła Granicę przekrocz "" Będziesz wolna "", już ktoś tam woła. Kobiety nadziei Kobiety zmian Kobiety wojny i bólu Czuję waszą siłę tak ona powiedziała Jeśli czujesz się bezsilna, pomóż komuś Jeśli czujesz się bezsilna pomóż komuś Nikt naprawdę nie wie jak daleko pójdą by dalej żyć Nikt naprawdę nie wie jak daleko pójdą
A: ♫ עם הכוח לעמוד ♫ ♫ בחצותה את הגבול ♫ ♫ היא אמרה, "" אתם תגדלו חופשיים על האדמה הזו "" ♫ ♫ נשים של תקווה ♫ ♫ נשים של שינוי ♫ ♫ נשים של מלחמה וכאב ♫ ♫ אני יכולה להרגיש את הכוח שלכן ♫ ♫ במילים אלו היא אמרה ♫ ♫ אם אתן מרגישות חסרות ישע ♫ ♫ עיזרו למישהו ♫ ♫ אם אתן מרגישות חסרות ישע ♫ ♫ עיזרו למישהו ♫ ♫ אף אחד לא באמת יודע ♫ ♫ כמה רחוק הן תלכנה ♫ ♫ כדי להשאר בחיים ♫ ♫ אף אחד לא באמת יודע ♫ ♫ כמה רחוק הן תלכנה ♫
Rationale: The Polish sentence is correctly translated into Hebrew, because the meaning is preserved.
Q: To Kanion Pole, zachodnie zbocze Góry Waszyngtona o wysokości 3 500 m.
A:
|
אנו נמצאים בקניון פול וצופים מערבה על המדרון המערבי של הר וושינגטון, שגובהו 3.5 ק "" מ.
| 9
|
NIv2
|
task1260_ted_translation_pl_he
|
fs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
Answer the question from the given passage. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Passage: On 8 February 2007, BSkyB announced its intention to replace its three free-to-air digital terrestrial channels with four subscription channels. It was proposed that these channels would offer a range of content from the BSkyB portfolio including sport (including English Premier League Football), films, entertainment and news. The announcement came a day after Setanta Sports confirmed that it would launch in March as a subscription service on the digital terrestrial platform, and on the same day that NTL's services re-branded as Virgin Media. However, industry sources believe BSkyB will be forced to shelve plans to withdraw its channels from Freeview and replace them with subscription channels, due to possible lost advertising revenue. Question: What platform was Sentanta Sports planning on launching on?
Output:
|
digital terrestrial
| 1
|
NIv2
|
task1608_xquad_en_answer_generation
|
zs_opt
|
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] |
Detailed Instructions: In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers and Alphabets are Tied'.
Problem:['99', '1639', '5697', '1633', 'j', '7035', 'k', '8759', 's', '3387', 'g', 'h', '5893', '4151', 'I', 'v', '4417', 'q', '2201', '2483', 'P', 'O', '6963', 'e', '81', '4659', 'o']
Solution:
|
Numbers Win
| 8
|
NIv2
|
task523_find_if_numbers_or_alphabets_are_more_in_list
|
zs_opt
|
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] |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Q: ここでも、東アフリカの農業経営者や投資者を集めて有機農産物関する基準を考えました。より良い価格でした
A:
|
De nuevo, reunidos granjeros y reunidos juntos tenedores de apuestas en África Oriental para fijar estándares para los productos orgánicos. Mejores precios.
| 9
|
NIv2
|
task1223_ted_translation_ja_es
|
zs_opt
|
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] |
Q: In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Fact1: Veins generally carry deoxygenated blood., Fact2: Blood carries blood cells., Question: What do veins carry? (A) copper (B) glucose (C) Energy (D) Length (E) oxygen (F) warmth (G) Cells (H) voltage
A:
|
G
| 7
|
NIv2
|
task1297_qasc_question_answering
|
zs_opt
|
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] |
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Example Input: Statement: Initially weakened by an outbreak of plague, the 12,000 strong population rallied to the cause. Choices: 1. The natives lasted for hundreds of years. 2. The many people who lived there suffered through the plague. 3. Diseases wiped out the entire population.
Example Output: 3
Example Input: Statement: Hates you? I cried, astonished. Choices: 1. He hates you? 2. I don't think he could hate you. 3. I know he likes you!
Example Output: 3
Example Input: Statement: uh and she still drives which we do does scare us some because she has dented a few things you know Choices: 1. She doesn't drive anymore because she's too old. 2. She has dented a few things while driving. 3. She dented a few parts of the car while driving.
Example Output:
|
1
| 3
|
NIv2
|
task202_mnli_contradiction_classification
|
fs_opt
|
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] |
In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example input: English: Details were given by the UK Transport Secretary, Ruth Kelly, in the House of Commons at 1730 UTC yesterday.
Hindi: कल ब्रिटेन के परिवहन सचिव रूथ केली द्वारा 1730 UTC पर हाउस ऑफ़ कॉमन्स में विवरण दिए गए।
Example output: Yes
Example explanation: The converted Hindi sentence is correctly translated from English because converted sentence has the same message as the original English sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
Q: English: Experts said that the incident was embarrassing for Airbus; the airline's shares have dropped by 7% since.
Hindi: विशेषज्ञों ने कहा कि यह घटना एयरबस के लिए शर्मनाक थी; एयरलाइन के शेयरों में 7% की गिरावट आई है।
A:
|
Yes
| 3
|
NIv2
|
task434_alt_en_hi_answer_generation
|
fs_opt
|
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] |
Detailed Instructions: Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear view towards the entity or has equal amounts of positive and negative statements or expressing some fact/quote by someone else. Select Negative if the sentence expresses a negative view towards like harsh remarks, criticizing entities action/decision etc. Note that URLs in the text have been replaced with [Link].
Problem:What is the sentiment of the following document towards the entity Dmitry Medvedev ? He urged Russian ambassadors and permanent representatives to move away from simplistic approaches toward the Iran nuclear issue.
Solution:
|
Positive
| 8
|
NIv2
|
task421_persent_sentence_sentiment_classification
|
zs_opt
|
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] |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Q: 3, 8, ['9195', '4199', '25', 'n', '8359', 'j', 'e', 'I']
A: 25n8359jeI
****
Q: 3, 6, ['3315', 't', 'B', 'K', '631', 'e', '3715', 'o', '2761', 'e', 'a', 'K', 'J', '6837']
A: BK631e
****
Q: 11, 22, ['P', '8447', 'E', '2703', 'j', 'o', '7613', '8579', '2323', '4417', 'n', '9855', 'K', '407', '8631', '4213', '113', 'Q', '215', 't', 'd', '1543', 'x', '301', 'H']
A:
|
n9855K40786314213113Q215td1543
****
| 4
|
NIv2
|
task100_concatenate_all_elements_from_index_i_to_j
|
fs_opt
|
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] |
Given the task definition and input, reply with output. Given a sentence in Arabic, generate a new Arabic sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
« إن » مخففة من الثقيلة واسمها محذوف ، أي إن كان « لكم » يا أهل مكة « مرض » في الدنيا « إن » ما « أنتم عليه » في الآخرة « لفي مرض ».
|
السبب في أن يكون لديك طفل هو أنك تبحث عن مرض.
| 5
|
NIv2
|
task414_mickey_ar_sentence_perturbation_generation
|
zs_opt
|
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] |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
Input: הדרך למטה היא דרך של בניה מתוחמת, בה הקירות מחוברים נכון, הבניין סימטרי, והוא יעמוד ברעידת אדמה.
Output:
|
A maneira minoritária é um edifício feito com alvenaria confinada, onde as paredes estão seguras umas às outras, o edifíio é simétrico, e irá aguentar um terramoto.
| 2
|
NIv2
|
task1114_ted_translation_he_pt
|
zs_opt
|
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] |
Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Input: Whose accession to the throne of England created the Union of the Scottish/English Crowns in 1603?
Output:
|
james vi and i
| 2
|
NIv2
|
task898_freebase_qa_answer_generation
|
zs_opt
|
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] |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly 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.
Example input: Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had been shopping for fruit to give Jon.
Example output: Tom had gone into the store before he was seen by Jon.
Example explanation: Tom must have gone into the store to come out of it.
Q: Sentence 1: Two men play catch with a football in a grassy field on a sunny day. Sentence 2: Two men gearing up for a football game in a park.
A:
|
Two men in a field.
| 3
|
NIv2
|
task188_snli_neutral_to_entailment_text_modification
|
fs_opt
|
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] |
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
[Q]: Hypothesis: It's rude to throw things at people.
Update: You are in a restaurant.
[A]: strengthener
[Q]: Hypothesis: It's okay to like what you like no matter who created it.
Update: they stole it from the true inventor.
[A]: weakener
[Q]: Hypothesis: It's rude to ask your classmates for their food.
Update: You have never talked to them before.
[A]:
|
strengthener
| 5
|
NIv2
|
task937_defeasible_nli_social_classification
|
fs_opt
|
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] |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as taboo in polite usage.
Problem:Comment: Fuck fluoridation, that shit is toxic. Fuck it, fuck it to hell.
Solution:
|
Obscene
| 8
|
NIv2
|
task326_jigsaw_classification_obscene
|
zs_opt
|
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] |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: Airbus chief executive Noel Forgeard stated that he expected sales of the aircraft to exceed the 250 required for the project to break even.
A:
|
エアバスの最高経営責任者であるNoelForgeardは、収支が合うプロジェクトに求められる250席を超える航空機の販売を期待していると述べました。
| 9
|
NIv2
|
task435_alt_en_ja_translation
|
zs_opt
|
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] |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': Dollar Sign, "''": Single Quotes, ',': Comma Symbol, '-LRB-': Left Parantheses, '-RRB-': Right Parantheses, '.': Period, ':': Colon, 'ADD': Email Address, 'AFX': Affix, 'CC': Coordinating conjunction, 'CD': Cardinal Number, 'DT': Determiner, 'EX': Existential there, 'FW': Foreign Word, 'GW': Go with, 'HYPH': Hyphen symbol, 'IN': Preposition or a subordinating conjunction, 'JJ': Adjective, 'JJR': A comparative Adjective, 'JJS': A Superlative Adjective, 'LS': List item Marker, 'MD': Modal, 'NFP': Superfluous punctuation, 'NN': Singular Noun, 'NNP': Singular Proper Noun, 'NNPS': Prural Proper Noun, 'NNS': Prural Noun, 'PDT': Pre-determiner, 'POS': Possessive Ending, 'PRP': Personal pronoun, 'PRP$': Possessive Pronoun, 'RB': Adverb, 'RBR': Comparative Adverb, 'RBS': Superlative Adverb, 'RP': Particle, 'SYM': Symbol, 'TO': To , 'UH': Interjection, 'VB': Base form Verb, 'VBD': Verb in Past tense, 'VBG': Verb in present participle, 'VBN': Verb in past participle, 'VBP': Verb in non-3rd person singular present, 'VBZ': Verb in 3rd person singular present, 'WDT': Wh-determiner, 'WP': Wh-pronoun, 'WP$' Possessive Wh-pronoun, 'WRB': Wh-adverb, 'XX': Unknown, '``': Double backticks.
Example: Sentence: Those things ended up being a windsheild washer fluid tank {{ ( }} 1 screw ) and the air filter canister ( 4 spring clips ) .
Word: (
Example solution: -LRB-
Example explanation: "(" is the symbol for Left Parantheses (-LRB-).
Problem: Sentence: I mean , I do n't {{ care }} if he does n't know , but if he pretends to know and tells me BS to my face , there 's no way I 'm going to trust him when matters turn to the price of the car and financing .
Word: care
|
Solution: VB
| 5
|
NIv2
|
task584_udeps_eng_fine_pos_tagging
|
fs_opt
|
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] |
In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
[Q]: Sentence 1: Portia was coloring a picture of the cookie monster. Sentence 2: Her mother complimented her picture. Sentence 3: Portia was proud of her picture. Sentence 4: She decided to create a whole book of cookie monsters. Sentence 5: Her book ended up becoming a published children's book.
[A]: Cookie Monster
[Q]: Sentence 1: Marcy was in a hurry getting ready this morning so she was rushing. Sentence 2: She woke up late and jumped in the shower quickly. Sentence 3: She hadn't turned any cold water on, so she got burned by hot water. Sentence 4: She had to go to the hospital to get her burns treated. Sentence 5: Now she's gonna miss a week of work because she was in a hurry.
[A]: You Won't Believe What Happened To Marcy
[Q]: Sentence 1: Kate's class was keeping a caterpillar. Sentence 2: Everyday they would feed it leaves. Sentence 3: One day they couldn't find their leaves. Sentence 4: The janitor thought they were trash and threw them out. Sentence 5: Now they had nothing to feed the caterpillar.
[A]:
|
Leaves
| 5
|
NIv2
|
task219_rocstories_title_answer_generation
|
fs_opt
|
[
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] |
Teacher:In this task, you are given a sentence in English, and your task is to translate it into Persian.
Teacher: Now, understand the problem? Solve this instance: what in gods name whats this .
Student:
|
ببين خدا چيکار کرده اين ديگه چيه .
| 6
|
NIv2
|
task658_tep_en_fa_translation
|
zs_opt
|
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] |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Input: As you've heard from many of the talks, statistics underpins an enormous amount of research in science — in social science, in medicine and indeed, quite a lot of industry.
Output:
|
كما سمعنا من العديد من المحادثات ، الإحصاء تدعم كمية ماهولة من البحوث في العلوم — في العلوم الإجتماعية ، في الطب وبالطبع ، الكثير من الصناعة.
| 2
|
NIv2
|
task1220_ted_translation_en_ar
|
zs_opt
|
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] |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
Input: Consider Input: [29, 197, 75, 42, 128, 75]
Output: [88, 592, 226, 21, 64, 226]
Input: Consider Input: [165, 146]
Output: [496, 73]
Input: Consider Input: [164, 177, 66, 186, 82, 17, 199, 81]
|
Output: [82, 532, 33, 93, 41, 52, 598, 244]
| 2
|
NIv2
|
task206_collatz_conjecture
|
fs_opt
|
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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.
Let me give you an example: ഇന്ന് ഒരു വിദൂരസ്ഥ ഗ്രാമത്തിലെ പാവപ്പെട്ട പൗരന് തന്റെ അവകാശങ്ങള് നേടുന്നതിനായി ദീര്ഘദൂരം യാത്ര ചെയ്യേണ്ടതായോ ഇടനിലക്കാര്ക്ക് കൈക്കൂലി കൊടുക്കേണ്ടതായിട്ടോ ഇല്ല
The answer to this example can be: دور دراز گاؤں میں غریب شہریوں کو سفر کرنے کے لئے کافی طویل سفر کرنے کے لئے کافی نہیں ہے
Here is why: Correct translation for given sentence. Input sentence means 'There is no longer enough to travel long enough to travel the poor citizen in a remote village' which is the same as the output sentence.
OK. solve this:
കള്ളപ്പണ വിരുദ്ധ നടപടികള് ഏകദേശം 1.
Answer:
|
وزارت خزانہ کالا دھن مخالف اقدامات نے تقریباً 1.
| 8
|
NIv2
|
task1059_pib_translation_malayalam_urdu
|
fs_opt
|
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Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common', 'cvg', 'opera', 'olympics', 'chemistry', 'visual_art', 'conferences', 'sports', 'language', 'travel', 'location', 'award', 'dining', 'martial_arts', 'comic_strips', 'computer', 'user', 'tennis', 'music', 'organization', 'food', 'event', 'transportation', 'fictional_universe', 'measurement_unit', 'meteorology', 'distilled_spirits', 'symbols', 'architecture', 'freebase', 'internet', 'fashion', 'boats', 'cricket', 'film', 'medicine', 'finance', 'comic_books', 'celebrities', 'soccer', 'games', 'time', 'geography', 'interests', 'common', 'base', 'business', 'periodicals', 'royalty', 'education', 'type', 'religion', 'automotive', 'exhibitions'.
Example: What country has borders with Libya, Sudan and Israel?
Example solution: location
Example explanation: This question is about a physical place, so is classified as 'location'
Problem: Who wrote the opera Dido and Aeneas ?
|
Solution: music
| 5
|
NIv2
|
task900_freebase_qa_category_classification
|
fs_opt
|
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] |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
[Q]: ، حتي اگر وجود داشته باشه . نميخوام بدونم .
[A]: even if it does exist , i just dont want to know .
[Q]: حومه نشيني .
[A]: suburbia .
[Q]: آدم بسيار شرير .
[A]:
|
fiend .
| 5
|
NIv2
|
task659_tep_fa_en_translation
|
fs_opt
|
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] |
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. An example of a chain is: "pesticides cause pollution" (fact1) + "pollution can harm animals" (fact2) → "pesticides can harm animals" (conclusion fact). Parts of the concluding fact overlap with the first and the second fact. To construct such a concluding fact, a useful way is to borrow the subject from one fact and the ending conclusions from another fact.
One example is below.
Q: Fact1: pesticides cause pollution.
Fact2: pollution can harm animals.
A: pesticides can harm animals.
Rationale: This is a good concluding fact that is entailed from combining Fact1 and Fact2. Also, it does not contain everything present in Fact1 and Fact2.
Q: Fact 1: using a gasoline engine requires burning gasoline.
Fact 2: When they are burned, fossil fuels are consumed.
A:
|
using a gasoline engine requires consuming gasoline.
| 9
|
NIv2
|
task038_qasc_combined_fact
|
fs_opt
|
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] |
TASK DEFINITION: In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
PROBLEM: Cordless unit caused the GFI and trip and not the unit will not charge at all.. Dead.. Nice unit, easy to use takes two tanks with of water to do the job, one for bottom and one for top teeth. NICE UNIT if it was working. I will be contacting the manufacture for the 2 year warranty.
SOLUTION: Update. Unit was replaced by factory. Works great good feedback from Dentist.
PROBLEM: Item arrived damaged with dents.
SOLUTION: Shipped damaged through Amazon Global Priority shipping
PROBLEM: Advertised as Ghirardelli Classic White Chocolate Chips, But it IS NOT White Chocolate. The package is labeled "White Baking Chips". White Chocolate is made with cocoa butter, this product is made with "Palm Kernel Oil". When I attempted to return this item, it was "Ineligible For Return". After contacting Amazon and let them know the product IS NOT white chocolate I was given a refund.
SOLUTION:
|
ALERT:This IS NOT White Chocolate (This is white baking chips) read on.
| 8
|
NIv2
|
task618_amazonreview_summary_text_generation
|
fs_opt
|
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] |
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
Q: Who did the dancer with the worst score in rumba during series 11 of Strictly Come Dancing play in A View to a Kill ?
A:
|
WP VBD DT NN IN DT JJS NN IN NN IN NN CD IN NNP NNP NNP NN IN DT NNP TO DT NNP .
| 4
|
NIv2
|
task345_hybridqa_answer_generation
|
zs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
Now have come to you, from your Lord, proofs (to open your eyes): if any will see, it will be for (the good of) his own soul; if any will be blind, it will be to his own (harm): I am not (here) to watch over your doings.
Output:
|
بی تردید برای شما از سوی پروردگارتان دلایلی روشن آمده، پس هر که [به وسیله آن دلایل بینا شود و حقایق را با چشم دل] ببیند به سود خود اوست و هر که [با پشت کردن به دلایل] کوردل شود [و از دیدن حقایق محروم گردد] به زیان خود اوست، [وظیفه من ابلاغ پیام خداست] و بر شما حافظ و نگهبان نیستم.
| 1
|
NIv2
|
task656_quran_en_fa_translation
|
zs_opt
|
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] |
Given the task definition and input, reply with output. You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
כבר נתקלנו בזה, וזה יכול להיגמר רע מאוד.
|
We've already seen this, and it can go horribly wrong.
| 5
|
NIv2
|
task1234_ted_translation_he_en
|
zs_opt
|
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] |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Q: ساعت پنج، هنوز خورشید غروب نکرده بود که زن از تخت پایین پرید،
A:
|
At five o' clock, with the sun still high, she jumped out of bed,
| 4
|
NIv2
|
task660_mizan_fa_en_translation
|
zs_opt
|
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] |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Italian.
Input: And it was a huge success.
Output:
|
Ed è stato un enorme successo.
| 2
|
NIv2
|
task1091_ted_translation_en_it
|
zs_opt
|
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] |
Detailed Instructions: In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the 'No' category. The sentence contains motion if it (i) involves the movement of a physical object. (ii) contains verb in present tense indicating the action performed. Sometimes there can be verb which indicates a motion but the motion might have happened in the past and the answers to such sentences is 'No'
See one example below:
Problem: The man then paints a side table black with lights shining off of the black painted wood.
Solution: Yes
Explanation: Here the man is in motion as he is painting a side table black table.
Problem: When she looked from the eastern window she could see her mother-in-law, Mrs. Zelotes Brewster, at an opposite one, sitting immovable, with her Bible in her lap, prayer in her heart, and an eye of grim holding to faith upon the road for the fulfilment of promise.
Solution:
|
Yes
| 4
|
NIv2
|
task1517_limit_classfication
|
fs_opt
|
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-0.6443312764167786,
-0.0902969166636467,
-0.35257935523986816,
-0.7432109117507935,
0.48242127895355225
] |
Detailed Instructions: We would like you to classify each of the following sets of argument pairs (discussing Gun Control) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A FACET is a low level issue that often reoccurs in many arguments in support of the author's stance or in attacking the other author's position.
Q: Sent1: In the fifteen years following the passage of Florida's concealed carry law in 1987, over 800,000 permits to carry firearms were issued to people in the state.
Sent2: In some states, some guns are just not allowed and it sticks as a law.
A:
|
Not similar
| 9
|
NIv2
|
task146_afs_argument_similarity_gun_control
|
zs_opt
|
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] |
Given the task definition and input, reply with output. You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: आग्नेय आशिया हा <MASK> खंडामधील एक भौगोलिक प्रदेश आहे. ह्या प्रदेशामध्ये भारताच्या पूर्वेकडील, चीनच्या दक्षिणेकडील व ऑस्ट्रेलियाच्या उत्तरेकडील देशांचा समावेश होतो. आग्नेय आशियामध्ये दोन उपविभाग मानले जातात. इंडोचीन किंवा महाद्वीप आग्नेय आशियामध्ये कंबोडिया, लाओस, म्यानमार, द्वीपकल्पीय मलेशिया, थायलंड व व्हियेतनाम हे देश आहेत तर सागरी आग्नेय आशियामध्ये मलेशियाचा उर्वरित भाग, इंडोनेशिया, सिंगापूर, फिलिपिन्स, ब्रुनेई व पूर्व तिमोर हे देश आहेत. आग्नेय आशियाच्या पश्चिमेला हिंदी महासागर व पूर्वेला प्रशांत महासागर आहेत.
Option A: ज्वालामुखी
Option B: ईशान्येकडील
Option C: आशिया
Option D: कुतैसी
|
आशिया
| 5
|
NIv2
|
task950_wiki_cloze_mr_multiple_choice_question_answering
|
zs_opt
|
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] |
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.
simiisismmmsiss
sismmmsis
qwqwaaqwqwaaw
waaw
ewweewekek
|
ewwe
| 0
|
NIv2
|
task850_synthetic_longest_palindrome
|
fs_opt
|
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] |
Teacher:You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will ask you to find the value of a variable (2) 'arithmetic' questions will ask the sum, difference, multiplication, division, power, square root or value of expressions involving brackets (3) 'measurement' questions are questions that ask to convert a quantity from some unit to some other unit (4) 'numbers' questions will be about bases, remainders, divisors, GCD, LCM etc. (5) 'probability' questions will ask about the probability of the occurrence of something. A question must belong to only one category.
Teacher: Now, understand the problem? Solve this instance: Suppose 21 = 3*r + 5*h - 10, 0 = -5*r + 2*h. Solve 5*f + 2*b = -33, 1 + r = -3*f + 3*b for f.
Student:
|
algebra
| 6
|
NIv2
|
task834_mathdataset_classification
|
zs_opt
|
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] |
Q: In this task, you are given a sentence in Arabic, and your task is to translate it into English.
-لا (بين).
A:
|
No, Pen.
| 7
|
NIv2
|
task650_opus100_ar_en_translation
|
zs_opt
|
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-0.09225241839885712,
-1.4948737621307373,
-0.09211443364620209,
-0.33433330059051514,
-0.16883186995983124,
0.31398385763168335,
0.2347065508365631,
-0.09414754807949066,
0.7344280481338501,
-0.9162496328353882,
0.682087779045105,
0.5104956030845642,
0.33091264963150024,
0.272999107837677,
-0.5033562779426575,
0.038661204278469086,
0.3173332214355469,
-0.6750454902648926,
0.48469609022140503
] |
Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, military rank, baby animals, weather, consumer product, animals, boxing terminology, food, chocolate food, bird, type of sandwich, date status, body part, ocean, employment activity, moral characteristic, elements, poker, computers, construction, guitar part, shady activities, physical activity, kitchenware, temperature, type of rigidity, emotional status, season, mode of transportation, window material, activity, emotional display, geographical property, fried food, store status, widespread, aesthetic characteristic, alcoholic drinks, secretary duty, direction, personal characteristic, and animal.
Q: miserable, sad, down, melancholy
A:
|
emotional status
| 4
|
NIv2
|
task143_odd-man-out_classification_generate_category
|
zs_opt
|
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] |
Given the task definition, example input & output, solve the new input case.
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correct answer words must lie within the associated fact. The correct answer can be a word, phrase, or even a sentence.
Example: Fact: pesticides can harm animals.
Question: What can harm animals?
Output: pesticides.
The answer is present in the span of the fact.
New input case for you: Fact: The volume of an object depends on the mass of the object.
Question: The what of an object depends on the mass of the object?
Output:
|
volume.
| 1
|
NIv2
|
task041_qasc_answer_generation
|
fs_opt
|
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You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You 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: માલ (તા. છોટાઉદેપુર) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના મધ્ય ભાગમાં આવેલા છોટાઉદેપુર જિલ્લામાં આવેલા છોટાઉદેપુર તાલુકામાં આવેલું એક ગામ છે. માલ ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે મકાઈ, તુવર 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: આંગણવાડી
Option B: પંચાયતઘર
Option C: ભારત
Option D: કોલંબિયા
Solution: ભારત
Why? The most suitable word from the given options to replace the <MASK> token is 'ભારત' , as the village mentioned is located in India .
New input: Statement: <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના સૌરાષ્ટ્ર વિસ્તારના જૂનાગઢ જિલ્લામાં આવેલા માંગરોળ તાલુકામાં આવેલું એક ગામ છે. આ ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે ઘઉં, જીરુ, મગફળી, તલ, બાજરી, કપાસ, દિવેલા, રજકો તેમ જ અન્ય શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: સૌરાષ્ટ્ર
Option B: ભારત
Option C: પંચાયતઘર
Option D: ગુજરાત
Solution:
|
ભારત
| 0
|
NIv2
|
task946_wiki_cloze_gu_multiple_choice_question_answering
|
fs_opt
|
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] |
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sentences that contain no information that is necessary to answer the question). Sort the sentence numbers in an increasing order (i.e., '1, 2', instead of '2, 1'). Your answer should not contain anything than the sentence numbers separated by a comma (e.g. '1, 2, 3, 4'). The given question requires more than one sentence to answer. So, your answer must contain at least one comma (", ").
One example is below.
Q: Paragraph- Sent 1: A Republican bid to keep the government open past Friday includes no new money for the construction of a border wall along the U.S.-Mexico border, according to several congressional aides familiar with ongoing talks.
Sent 2: GOP leaders submitted the new offer Tuesday afternoon in an effort to appease Democrats, whose votes are needed to avert a shutdown of federal agencies, several House and Senate aides said.
Sent 3: However, Republicans also insisted on increases in border security and defense spending, including money to repair existing fencing and new surveillance technology to patrol the nearly 2,000-mile border.
Sent 4: Democrats have indicated that they would support such appropriations so long as no money goes toward an actual wall.
Question: Who has to be appeased to keep the government open?.
A: 1, 2.
Rationale: The question is: Who has to be appeased to keep the government open? The phrase "appease Democrats" is mentioned in Sent 2, about accepting offer that is mentioned in Sent 1 to "keep the government open". So, Sent 1 and Sent 2 are the sentences needed to answer this question.
Q: Paragraph- Sent 1: The protagonist Preetam ( ( ( Ganesh , on a visit to Eva Mall amidst a heavy wind , spots a pretty girl , Nandini .
Sent 2: While staring at her , he inadvertently falls into a manhole .
Sent 3: Nandini rescues him from the pit , but in the process loses her heart-shaped watch she had just bought .
Sent 4: While accompanying his mother to Madikeri , Preetam confronts a man named Jaanu .
Sent 5: Jaanu , who has been following Nandini , beats up Preetam thinking that he is in love with Nandini .
Sent 6: Preetam , unaware that Jaanu has vowed not to allow any one near Nandini , trashes Jaanu and his gang in return .
Sent 7: In Madikeri , Preetam meets Nandini unexpectedly .
Sent 8: He identifies himself and expresses his love towards her and offers to tie the watch as an indication for their marriage .
Sent 9: Nandini , who is already engaged rejects his request .
Sent 10: Still , Preetam vows to marry Nandini if she meets him again .
Sent 11: In the meantime , Preetam discovers that his host in Madikeri , Col. Subbayya is Nandini 's father , who is pretty much deaf , and Nandini 's marriage is a just a week away .
Sent 12: Dejected , Preetam throws Nandini 's heart-shaped watch away .
Sent 13: But Nandini calls him over the phone and taunts him to return .
Sent 14: Delighted , Preetam goes in search of her watch and brings it back .
Sent 15: While searching it , he spots a rabbit , which he calls Devadas , and brings it along with him .
Sent 16: Since Nandini 's friends are due to arrive from Mumbai for the marriage , Preetam takes Nandini to the railway station .
Sent 17: The train from Mumbai is delayed by five hours , so Nandini and Preetam decide to visit a nearby hill-temple .
Question: What happened to Preetam when he spots Nadini for the first time?.
A:
|
1, 2.
| 9
|
NIv2
|
task049_multirc_questions_needed_to_answer
|
fs_opt
|
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] |
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 includes an event or an action in the Tail or not. This happens when the Tail denotes a step within the larger head event. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Example input: Head: have conversation<sep>Tail: choose subject to discuss
Example output: Yes
Example explanation: This is a good example. The Head includes the event of choosing a subject the Tail.
Q: Head: cogitate<sep>Tail: might get answeer
A:
|
Yes
| 3
|
NIv2
|
task1211_atomic_classification_hassubevent
|
fs_opt
|
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] |
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or anti-stereotype. You are expected to classify the passage into three classes: stereotype, anti-stereotype, and unrelated.
Q: Passage: At the end of the day, one could say iranians are pear.
A:
|
Unrelated
| 4
|
NIv2
|
task279_stereoset_classification_stereotype
|
zs_opt
|
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] |
Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Example input: Bob took the woman from work a cake
Example output: Bob took a cake to the woman from work
Example explanation: Input and output sentences have same meaning but different grammatical construction.
Q: Alice carted the team from work the clothes
A:
|
Alice carted the clothes to the team from work
| 3
|
NIv2
|
task132_dais_text_modification
|
fs_opt
|
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] |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Q: Relationship: 'appoint', Argument/Subject 1: 'president', Argument/Subject 2: 'nominate committee'
A: The President shall appoint a Nominating Committee at least one month prior to the election .
****
Q: Relationship: 'be state in', Argument/Subject 1: 'uttar pradesh', Argument/Subject 2: 'indium'
A: Shravasti district is one of the districts of the Uttar Pradesh state of India ....
****
Q: Relationship: 'be holiday in', Argument/Subject 1: 'thanksgive', Argument/Subject 2: 'unite state'
A:
|
Anyone who disagrees should present some sort of solid evidence of how these events influenced the current Thanksgiving holiday in the United States .
****
| 4
|
NIv2
|
task677_ollie_sentence_answer_generation
|
fs_opt
|
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] |
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