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You will be given a definition of a task first, then some input of the task.
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange.
Prompt: I'm thinking a thought. There's a scroll and it says on it - or maybe it's just a piece of paper - how to uncurse the jewels.
Response 1: Well it means a lot to me too, Chuck.
Response 2: Wait a minute, a scroll? When I was at the ice cream place I wrote down a funny joke on the pocket wallet I have.
Output:
|
Response 2
| 1
|
NIv2
|
task362_spolin_yesand_prompt_response_sub_classification
|
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 will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require any external knowledge. Subjective questions are not allowed. Create questions that result in factoid answers. A simple rule of thumb to decide whether a question is factoid or not is to see if two different people with average reading/comprehension skills would come up with the same answer after reading the passage.
Holly Golightly (AUDREY HEPBURN) lives in a brownstone on Manhattan's swank East Side. Totally madcap, she has a partially furnished apartment, owns a cat with no name, gets rid of the "mean reds" by visiting Tiffany's jewelry store, and is forever misplacing her door key, much to the dismay of her upstairs neighbor Mr. Yunioshi (MICKEY ROONEY), a Japanese photographer. Holly makes her living in two ways: she receive $50 from her gentlemen escorts whenever she needs powder room money, and she is paid $100 for each weekly trip she makes to Sing Sing Prison, where she visits Sally Tomato (ALAN REED), an ex-mobster. One day Paul Varjak (GEORGE PEPPARD), a young writer who is supported by an older woman nicknamed "2E" (PATRICIA NEAL), comes into Holly's life. Following one of Holly's wild cocktail parties hosted by her Hollywood agent, O.J. Berman (MARTIN BALSAM), Paul unexpectedly meets Doc Golightly (BUDDY EBSEN), a gentle Texan whom Holly married when she was only 15 years old. Holly explains to Paul that the marriage was annulled long ago, and he helps her send the heartbroken Doc away. After a day on the town together, Paul realizes that he is in love with Holly and proposes to her; but she is determined to marry José (VILALLONGA), a South American millionaire. However, when it is publicly revealed that Holly has been innocently carrying narcotics ring information from Sally Tomato to his New York associates, the stuffy José abandons her. Furious at everything and everyone, Holly kicks Cat out of her taxicab into the rain and decides to leave town for Brazil, but Paul lectures her and then goes out to find Cat. Holly realizes how much she is giving up and races through the wet New York streets to a happy reunion with Paul and Cat.
Output:
|
Who is Holly's Hollywood agent?
| 1
|
NIv2
|
task193_duorc_question_generation
|
zs_opt
|
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] |
Detailed Instructions: You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
See one example below:
Problem: Sentence: xname is a high-priced 3 star restaurant which offers wines and cheeses. It is family friendly and is located in the City centre near the xnear. Categories: Price, Rating, familyFriendly
Solution: price[high], rating[3 out of 5], familyFriendly[yes]
Explanation: This is a good example because it provides the appropriate information from the sentence to the requested categories.
Problem: Sentence: Chinese food at moderate prices in xname coffee, with a rating of 3 is not suitable for children. ; Categories: price, eattype, familyFriendly
Solution:
|
price[moderate], eattype[coffee shop], familyFriendly[no]
| 4
|
NIv2
|
task1597_nyc_slot_filling
|
fs_opt
|
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] |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
Example input: English sentence: Lionel Messi is the greatest football player of all time
Example output: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Example explanation: The output exactly translates the sentence to it's somali equivalent. Even though the phrase 'greatest player of all times' is translated to 'greatest player ever', the meaning remains the same.
Q: English sentence: as a recompense for what they used to do." Koran 32:16-7
A:
|
iyadoo laga abaal marin ah waxa ay falsayeen "Quraanka 32:. 16-7
| 3
|
NIv2
|
task446_opus_paracrawl_en_so_translation
|
fs_opt
|
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] |
You will be given a piece of text either about an everyday event, or a general statement. If the event seems a plausible event to you, or the general statement makes sense matches your commonsense, output 'True', otherwise output 'False'.
Ex Input:
Being taller than Jeff, Jack could dunk more basketballs
Ex Output:
True
Ex Input:
Caroline is about to go down into the basement with her basket completely full of lemons as she realizes she also needs to bring the salt shaker. Since her hands are full, Caroline should carry the salt shaker in her mouth rather than with her foot.
Ex Output:
True
Ex Input:
Anna married her high school sweetheart, and Jenna met her husband at work. Anna probably met her spouse more recently.
Ex Output:
|
False
| 1
|
NIv2
|
task116_com2sense_commonsense_reasoning
|
fs_opt
|
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-0.7837218046188354,
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-0.49694305658340454,
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-1.0905405282974243,
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] |
Detailed Instructions: This task is about translating a given Spanish language sentence to English.
See one example below:
Problem: Leeuwenhoek y Huygens... ...fueron abuelos de la medicina moderna:
Solution: Leeuwenhoek and Huygens... ...are the grandfathers of much of modern medicine.
Explanation: This is a good example because the Spanish sentence has been translated correctly to English.
Problem: He sido un diseñador junior haciendo piezas para un año.
Solution:
|
I've been a junior designer doing fittings for a year.
| 4
|
NIv2
|
task1692_qed_amara_translation
|
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 it is plausible for the Head to desire the Tail or not. In this task, desire means desires of sentient entities. For example, doctors likely desire to cure a patient. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: person<sep>Tail: three hot meals day
A:
|
Yes
| 4
|
NIv2
|
task1213_atomic_classification_desires
|
zs_opt
|
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] |
Detailed Instructions: In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
See one example below:
Problem: Alterations of the architecture of cerebral white matter in the developing human brain can affect cortical development and result in functional disabilities. A line scan diffusion-weighted magnetic resonance imaging (MRI) sequence with diffusion tensor analysis was applied to measure the apparent diffusion coefficient, to calculate relative anisotropy, and to delineate three-dimensional fiber architecture in cerebral white matter in preterm (n = 17) and full-term infants (n = 7). To assess effects of prematurity on cerebral white matter development, early gestation preterm infants (n = 10) were studied a second time at term. In the central white matter the mean apparent diffusion coefficient at 28 wk was high, 1.8 microm2/ms, and decreased toward term to 1.2 microm2/ms. In the posterior limb of the internal capsule, the mean apparent diffusion coefficients at both times were similar (1.2 versus 1.1 microm2/ms). Relative anisotropy was higher the closer birth was to term with greater absolute values in the internal capsule than in the central white matter. Preterm infants at term showed higher mean diffusion coefficients in the central white matter (1.4 +/- 0.24 versus 1.15 +/- 0.09 microm2/ms, p = 0.016) and lower relative anisotropy in both areas compared with full-term infants (white matter, 10.9 +/- 0.6 versus 22.9 +/- 3.0%, p = 0.001; internal capsule, 24.0 +/- 4.44 versus 33.1 +/- 0.6% p = 0.006). Nonmyelinated fibers in the corpus callosum were visible by diffusion tensor MRI as early as 28 wk; full-term and preterm infants at term showed marked differences in white matter fiber organization. The data indicate that quantitative assessment of water diffusion by diffusion tensor MRI provides insight into microstructural development in cerebral white matter in living infants.
Solution: Microstructural development of human newborn cerebral white matter assessed in vivo by diffusion tensor magnetic resonance imaging.
Explanation: This title is appropriate for the given abstract because the focus of this abstract is cerebral white matter assesment.
Problem: The pathogenicity of many bacteria depends on the injection of effector proteins via type III secretion into eukaryotic cells in order to manipulate cellular processes. TAL (transcription activator-like) effectors from plant pathogenic Xanthomonas are important virulence factors that act as transcriptional activators in the plant cell nucleus, where they directly bind to DNA via a central domain of tandem repeats. Here, we show how target DNA specificity of TAL effectors is encoded. Two hypervariable amino acid residues in each repeat recognize one base pair in the target DNA. Recognition sequences of TAL effectors were predicted and experimentally confirmed. The modular protein architecture enabled the construction of artificial effectors with new specificities. Our study describes the functionality of a distinct type of DNA binding domain and allows the design of DNA binding domains for biotechnology.
Solution:
|
Breaking the code of DNA binding specificity of TAL-type III effectors.
| 4
|
NIv2
|
task1586_scifact_title_generation
|
fs_opt
|
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] |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Example: Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, and turned to gangs. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: The incident caused him to turn a new leaf.
Output: He is happy now.
As mentioned in last sentence, the incident turned a new leaf to Rick's life; this part completes the story properly.
New input case for you: Sentence1: Anna had been tending her garden all summer. Sentence2: She went outside to harvest. Sentence3: All her fruits and veggies were ready! Sentence4: She picked them one by one.
Output:
|
She had a bountiful harvest.
| 1
|
NIv2
|
task105_story_cloze-rocstories_sentence_generation
|
fs_opt
|
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] |
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
Let me give you an example: passage: Franchising is a way for small business owners to benefit from the economies of scale of the big corporation (franchiser). McDonald's and Subway are examples of a franchise. The small business owner can leverage a strong brand name and purchasing power of the larger company while keeping their own investment affordable. However, some franchisees conclude that they suffer the "worst of both worlds" feeling they are too restricted by corporate mandates and lack true independence. It is an assumption that small business are just franchisees, but the truth is many franchisers are also small businesses, Although considered to be a successful way of doing business, literature has proved that there is a high failure rate in franchising as well, especially in UK, where research indicates that out of 1658 franchising companies operating in 1984, only 601 remained in 1998, a mere 36%.
question: can a franchise be considered a small business?
The answer to this example can be: Yes
Here is why: Based on the passage, a franchise can be considered a small business.
OK. solve this:
passage: In plane Euclidean geometry, a rhombus (plural rhombi or rhombuses) is a simple (non-self-intersecting) quadrilateral whose four sides all have the same length. Another name is equilateral quadrilateral, since equilateral means that all of its sides are equal in length. The rhombus is often called a diamond, after the diamonds suit in playing cards which resembles the projection of an octahedral diamond, or a lozenge, though the former sometimes refers specifically to a rhombus with a 60° angle (see Polyiamond), and the latter sometimes refers specifically to a rhombus with a 45° angle.
question: is a rhombus the same as a diamond?
Answer:
|
Yes
| 8
|
NIv2
|
task380_boolq_yes_no_question
|
fs_opt
|
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] |
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
One example is below.
Q: È probabile che in futuro chiamerete una lista dei nomi.
A: E' probabile che troviate una carta dei vini al ristorante.
Rationale: This is a good change in the input, because it is semantically similar to the input as both are talking about either list of names or wines and the output sentence follows the commonsense knowledge.
Q: Rosso e giallo possono essere carbonizzati per fare arancione.
A:
|
Rosso e giallo possono essere esaltati per fare arancione.
| 9
|
NIv2
|
task408_mickey_it_sentence_perturbation_generation
|
fs_opt
|
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] |
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible.
Q: Cameron prevented me from voting by giving me something to drink.
Question: What will happen to Cameron?
A:
|
accuse Cameron of voter tampering
| 4
|
NIv2
|
task595_mocha_answer_generation
|
zs_opt
|
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] |
Detailed Instructions: Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Q: Ein Labor, in dem Musik ausgewertet wird.
A:
|
Eine Rolle, wo der Mensch gespielt wird.
| 9
|
NIv2
|
task416_mickey_de_sentence_perturbation_generation
|
zs_opt
|
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] |
Detailed Instructions: Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
Problem:THEM: hi there! i would like the hats, and you can have the rest. YOU: deal.
Solution:
|
Yes
| 8
|
NIv2
|
task1384_deal_or_no_dialog_classification
|
zs_opt
|
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] |
You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Let me give you an example: I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like a stew than a processed meat and it smells better. My Labrador is finicky and she appreciates this product better than most.
The answer to this example can be: Positive
Here is why: It's a positive review because the owner of the dog is satisfied with the product and mentioned that their dog appreciates the product.
OK. solve this:
The taste of this almond milk is so off that I cannot even finish the carton that I purchased. I prefer Blue Diamond original Almond milk
Answer:
|
Negative
| 8
|
NIv2
|
task586_amazonfood_polarity_classification
|
fs_opt
|
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] |
Detailed Instructions: In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index at 1, so the first element in the list will be subtracted by one. For every element in the list you need to find "element - index" where the index of the beginning element is 1 and increments by 1 for each element. Put your result list in brackets.
Problem:[12, -11]
Solution:
|
[11, -13]
| 8
|
NIv2
|
task096_conala_list_index_subtraction
|
zs_opt
|
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A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
Q: कबीरदास यांनी कोणतीही लाज, शरम न बाळगता अयोग्य रूढींवर थेट घणाघाती प्रहार केला होता.
A:
|
સાથીઓ, કબીર શ્રમયોગી હતા, કર્મયોગી હતા.
| 4
|
NIv2
|
task984_pib_translation_marathi_gujarati
|
zs_opt
|
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] |
In this task, you are to Translate German text to English
Example Input: Verwendung finden derartige Bilderfassungssysteme in der Medizintechnik, auf Fahrzeugen, zur Inspektion von lochartigen Ausnehmungen sowie zur 360° -Bilderfassung in Räumen.
Example Output: Such image recording systems are used in medical technology, on vehicles, and for inspecting hole-type cavities and recording 360° images in rooms.
Example Input: Dadurch können mehrere piezoelektrischen Elemente mit minimalem Aufwand unabhängig voneinander ge- und entladen werden.
Example Output: An Independent claim is also included for a method of charging and discharging several piezoelectric elements.
Example Input: Dabei ist die Lichteintrittsflaeche des Prismas im wesentlichen rechtwinklig zum Strahlengang angeordnet.
Example Output:
|
The light entrance surface of the prism is arranged substantially perpendicular to the beam path.
| 3
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NIv2
|
task841_para_pdt_de_en_translation
|
fs_opt
|
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] |
Detailed Instructions: 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 intentionally offensive, 2) no, otherwise. Also, generate label 'no' for offensive statements that appear to be unintentional, or non-offensive statements that are underhandedly offensive. Warning: the examples and instances may contain offensive language.
Q: "Niggas be pressed for pussy, Eeeeeen nothin"
A:
|
Yes
| 9
|
NIv2
|
task607_sbic_intentional_offense_binary_classification
|
zs_opt
|
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] |
Teacher:In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Teacher: Now, understand the problem? Solve this instance: Kendall persisted after being told no, and eventually had a positive effect on Lee.
Student:
|
What will Lee want to do next?
| 6
|
NIv2
|
task596_mocha_question_generation
|
zs_opt
|
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] |
Part 1. Definition
In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Part 2. Example
Tweet: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it Question: is it a positive tweet?
Answer: yes
Explanation: There is an expression of happiness in this tweet text, hence, we can say it's positive. So answer is 'yes'.
Part 3. Exercise
Tweet: @arkbites1 This is turning out to be a great game. Tomorrow holds promise! Question: is it a negative tweet?
Answer:
|
yes
| 7
|
NIv2
|
task196_sentiment140_answer_generation
|
fs_opt
|
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] |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Problem:Sentence 1: A police officer wearing dark pants, a long-sleeved blue shirt, white gloves, a white hat, and an orange "TRAFFIC" vest is standing in the street directing vehicles. Sentence 2: Another police office is lying on the floor in the middle of the street while one stand over him shouting into a radio
Solution:
|
More than one person is inside the car.
| 8
|
NIv2
|
task185_snli_contradiction_to_neutral_text_modification
|
zs_opt
|
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1.1195573806762695,
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0.11485642194747925
] |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
[118.515, 162.723]
Output:
|
[0.421 0.579]
| 1
|
NIv2
|
task093_conala_normalize_lists
|
zs_opt
|
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] |
Detailed Instructions: In this task you are given an anecdote, which recount a complex ethical situation. The question you are given is, has the author of the anecdote acted ethically? answer this question with "RIGHT" or "WRONG".
Problem:I have a friend that’s blind, and we travel in the same social circles so we go to a lot of the same activities. At first, I didn’t mind giving her a ride (it’s only 5 minutes out of the way). But when it happened every time, I was getting a little annoyed. The straw that broke the camels back was when he told me she’d been sick all day (throwing up) and then STILL got in my car and put me at risk of getting sick. I don’t want to give her rides anymore, AITA?
Solution:
|
RIGHT
| 8
|
NIv2
|
task224_scruples_anecdotes_ethical_judgment
|
zs_opt
|
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] |
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Sentence: 'a man by a open refrigerator in a room'. How many words end with the letter 'a' in the sentence.
3
Sentence: 'the woman is wearing a mans shirt and tie on the couch'. How many words end with the letter 'e' in the sentence.
3
Sentence: 'dog on a leash sitting in a bus surrounded by people'. How many words end with the letter 'n' in the sentence.
|
2
| 0
|
NIv2
|
task163_count_words_ending_with_letter
|
fs_opt
|
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] |
instruction:
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head can be hindered by what is mentioned in the Tail or not. In this task, hindering introduces hindrances that obstruct the natural path to the achievement of a goal. For example, the event PersonX adopts a cat can be obstructed if PersonX is allergic to cats. 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.
question:
Head: PersonX makes friends<sep>Tail: No body will talk to them.
answer:
Yes
question:
Head: PersonX is going really well<sep>Tail: PersonX is sick
answer:
Yes
question:
Head: PersonX gets caught<sep>Tail: PersonX's mom would not come in the room
answer:
|
Yes
| 9
|
NIv2
|
task1204_atomic_classification_hinderedby
|
fs_opt
|
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] |
Detailed Instructions: In this task, you are given two sentences in the English language (Sentence 1 and Sentence 2). Your task is to identify the connecting word between the two sentences.
Problem:Sentence 1:Weir aids the team in dealing with the Vanir - a rogue faction of Asgard - and returns to Atlantis until she is confirmed to be human once more . Sentence 2:However , she indicates that she will not stay once she is cleared .
Solution:
|
however
| 8
|
NIv2
|
task563_discofuse_answer_generation
|
zs_opt
|
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] |
Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Let me give you an example: ອິຕາລີໄດ້ເສຍໃຫ້ປ໊ອກຕຸຍການ 31 ຕໍ່ 5 ໃນພູລ C ຂອງ ການແຂ່ງຂັນຣັກບີ້ລະດັບໂລກປີ 2007 ທີ່ ປາກເດແພຣັງ ປາຣີ ປະເທດຝຣັ່ງ.
The answer to this example can be: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Here is why: The Lao sentence is correctly converted into Japanese because the converted sentence holds the message that Italy defeated Portugal 31–5 in Pool C of the 2007 Rugby World Cup at the Parc des Princes in Paris, France. Also, translated sentence preserves the numbers as it is.
OK. solve this:
"ຂ້ອຍເຂົ້າໃຈວ່າ ສິ່ງທີ່ຜູ້ອົບພະຍົບຈຳຕ້ອງຜ່ານເພື່ອກ້າວເຖິງສິ່ງທີ່ພວກເຂົາຕ້ອງການ."
Answer:
|
「私は移民が自分の求めることをつかむために何を経験しなければならないかを理解している。」
| 8
|
NIv2
|
task1125_alt_lo_ja_translation
|
fs_opt
|
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] |
Instructions: In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
Input: Man måste också kritisera kommissionens praxis att godkänna upprepat stöd för stålföretag, som enligt kommissionens åsikt inte faller under kategorierna i gemenskapsbestämmelserna, även om EG-domstolen i enstaka beslut har godkänt denna skillnad i behandling.
Output:
|
Swedish
| 3
|
NIv2
|
task315_europarl_sv-en_language_identification
|
zs_opt
|
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] |
Detailed Instructions: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
See one example below:
Problem: For four years we have waited expectantly for the pitter patter of tiny paws. Soon, that wait could finally be over. Tian Tian, the UK's only female giant panda, has conceived and could give birth to a cub as early as August. However Edinburgh Zoo, where the pandas live, have warned people 'not to get too excited' as the process is 'extremely complex'. Moreover, on the two previous occasions keepers inseminated Tian Tian - whose name means 'Sweetie' - she has failed to produce a panda cub. She was artificially inseminated again in March this year, but keepers at the zoo say implantation - when a fertilised egg attaches to the uterus - has not yet occurred.Tian Tian has conceived and could give birth to a cub as early as AugustShe has been inseminated twice before but so far failed to produce a cubTian Tian and Yang Guang arrived in 2011 from China to great fanfareOn loan at £600k a year, became first giant pandas to live in UK for 17 years
Questions:Under the terms of the agreement any cubs will return to _ at the age of two, the age at which they would normally leave their mother in the wild.
Solution: China
Explanation: This is a good example. Based on the passage, any cubs will return to China at the age of two
Problem: Havana, Cuba (CNN) Negotiators seeking to end the five-decades-old bloody insurgency in Colombia said Wednesday they had reached a final peace deal in one of the world's longest-running conflicts. For nearly four years, representatives from the Colombian government and the FARC rebel group have struggled to reach a deal that would not only end the fighting but also address issues of land reform, curtailment of the drug trade, repatriation of victims' families and trials for those suspected of human rights abuses. A majority of Colombians must still approve the landmark deal in a referendum set for October 2. Provisions that allow FARC leaders who confess their crimes to avoid prison may make the deal a bitter pill to swallow for many Colombians who think the rebels are escaping justice for decades of murder, kidnapping and drug trafficking.Colombian rebels have been fighting the government for more than 50 yearsLandmark deal still faces approval in a referendum set for October 2
Question:Under the agreement, FARC rank-and-file soldiers will lay down their heavy weapons, leave jungle camps and slowly reincorporate into _ society with the help of government training programs.
Solution:
|
Colombia
| 4
|
NIv2
|
task339_record_answer_generation
|
fs_opt
|
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] |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Q: Who used videoconferencing later, internal corporate communication networks or schools?, Context: While videoconferencing technology was initially used primarily within internal corporate communication networks, one of the first community service usages of the technology started in 1992 through a unique partnership with PictureTel and IBM Corporations which at the time were promoting a jointly developed desktop based videoconferencing product known as the PCS/1. Over the next 15 years, Project DIANE (Diversified Information and Assistance Network) grew to utilize a variety of videoconferencing platforms to create a multi-state cooperative public service and distance education network consisting of several hundred schools, neighborhood centers, libraries, science museums, zoos and parks, public assistance centers, and other community oriented organizations.
A:
|
schools
| 4
|
NIv2
|
task1295_adversarial_qa_question_answering
|
zs_opt
|
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] |
Teacher: In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction. Sentences belonging to 'face-to-face' genres relate to conversations or dialogues, 'government' encompasses information released from public government websites, 'letters' refers to any written work for philanthropic fundraising, '9/11' relates to information pertaining to the 9/11 attacks, 'oup' includes non-fiction works on the textile industry and child development, 'slate' refers to any cultural topic that appears in the slate magazine, 'telephone' includes telephonic dialogue, 'travel' deals with information in travel guides, 'verbatim' includes short posts regarding linguistics, and 'fiction' includes popular works of fiction like 'The Secret Adversary' etc.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence 1: Next to the MGM Grand you will find M and M World. Sentence 2: The candy has many fans who love its attractions. Genre: travel.
Solution: Y
Reason: The places are specifically pointed out and referred to as attractions and hence are in the same genre.
Now, solve this instance: Sentence 1: The web site will serve as a comprehensive portal for low-income Mainers seeking legal assistance information of any type, providing information from all of the state's legal services providers as well as state agencies and other sources of information and assistance. Sentence 2: You won't get an actual menu without asking for la carta. Genre: travel.
Student:
|
N
| 2
|
NIv2
|
task204_mnli_same_genre_classification
|
fs_opt
|
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] |
Instructions: 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.
Input: penalty, fine, jail, firstrate
Output:
|
police punishment
| 3
|
NIv2
|
task143_odd-man-out_classification_generate_category
|
zs_opt
|
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] |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Input: Consider Input: The name of Ganga is Bhagirathi river from Mushirdabad city to Hoogli city and it is named Hugli river till the mouth of Hugli.
Output: मुर्शिदाबाद शहर से हुगली शहर तक गंगा का नाम भागीरथी नदी तथा हुगली शहर से मुहाने तक गंगा का नाम हुगली नदी है।
Input: Consider Input: Karunguzhi years , with the founding of the Sanmarga Sangam , Ramalinga felt that he had sufficiently prepared himself for his mission in life .
Output: ऐसा लगता है कि करूंगुझी प्रवास के अंतिम वर्षो मे सन्मार्ग संगम की स्थापना के साथ रामलिंग को कदाचित लगने लगा था कि उन्होनें अपने आपको जीवन के महान लक्ष्य के लिए तैयार कर लिया है ।
Input: Consider Input: So we see that the concept of the attributes of God in the Quran is associated with a particular concept of the world -LRB- Weltanschauung -RRB- .
|
Output: इस तरह हम देखते हैं कि कुरान में ईश्वर के गुणों की धारणा संसार की एक विशेष धारणा से संबंद्ध है ।
| 2
|
NIv2
|
task425_hindienglish_corpora_en_hi_translation
|
fs_opt
|
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] |
Part 1. Definition
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY or others will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. For example, X may get hugged, and Y may blush in response. 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.
Part 2. Example
Head: PersonX goes the way of the dodo<sep>Tail: none
Answer: Yes
Explanation: This is a good example. As a result of the Head, others won't be affected.
Part 3. Exercise
Head: PersonX asks PersonY to go<sep>Tail: lazy
Answer:
|
No
| 7
|
NIv2
|
task1196_atomic_classification_oeffect
|
fs_opt
|
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] |
In this task, you need to count the number of nouns/verbs in the given sentence.
Input: Consider Input: Sentence: 'People walking across an intersection in the city'. Count the number of nouns in this sentence.
Output: 3
Input: Consider Input: Sentence: 'a man is squatting down to fix a kite'. Count the number of nouns in this sentence.
Output: 2
Input: Consider Input: Sentence: 'a couple of trucks next to a green building'. Count the number of nouns in this sentence.
|
Output: 3
| 2
|
NIv2
|
task155_count_nouns_verbs
|
fs_opt
|
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] |
A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
আমি আপনাদের একটা উদাহরণ দিচ্ছি।
|
உங்களுக்கு நான் ஓர் உதாரணம் சொல்கிறேன்.
| 0
|
NIv2
|
task981_pib_translation_bengali_tamil
|
zs_opt
|
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] |
Detailed Instructions: You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypothesis. Your task is to return 'entails' if the premise supports hypothesis else return 'neutral'.
Q: Premise: The greater the density becomes, the more vigorously the limiting factors slows down population growth and then gradually the density approaches the carrying capacity of the environment.
Hypothesis: Humans are unique in their ability to alter their environment with the conscious purpose of increasing carrying capacity, which acts as a limiting factor on populations in general.
A:
|
neutral
| 9
|
NIv2
|
task1529_scitail1.1_classification
|
zs_opt
|
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In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
--------
Question: Article: At times we all get angry when we are driving. It might be because we are stuck in a traffic jam or stuck behind a very slow driver. It might be because we think another driver has done something very stupid and dangerous. Whatever the reason, it seems that getting angry in a car is something which happens more and more often and there is now a special term for it "road rage". Some experts even think that road rage is a kind of mental illness! How can we recognize this "illness" of road rage? There are two kinds of road rage: aggressive driving and aggressive reactions to the way other people are driving. Aggressive driving can take different forms: *Driving much faster than the speed limit. *Increasing your speed very quickly. *Driving very close behind the car in front and sounding the horn or flashing the headlights. *Changing lanes very suddenly and blocking another car. *Moving into a parking space where another car is trying to park. There are also different reactions to the way other people are driving. These include: *Making rude signs at people. *Shouting at people and threatening them. *Deliberately driving into another person's car. *Hitting somebody. *Using a weapon such as a baseball bat, or even a gun or a knife. Road rage is certainly not a joke. There have been incidents of road rage which have led to serious injuries and even murder. Experts think that one reason for road rage is that films show a lot of examples of fast and aggressive driving such as car chases where this kind of driving seems to be positive. Experts also think that the punishments for dangerous driving are not serious enough. Experience shows that driving problems can be controlled, but it takes a long time. In the UK in the last 30 years, the police have been quite successful in reducing the number of people who drink and drive. They are now working to stop people using mobile phones when they are driving. Let's hope they can have the same success with the road rage.
Answer: Drinking and driving
Answer: Which of the following statements does NOT describe aggressive driving?
Question: Article: Air traffic controllers in the US have been advised to take 26-minute naps , after a series of accidents involving workers falling asleep. Now the National Transportation Safety Board (NTSB) is calling for "controlled naps" during nightshifts . NTSB member Mark Rosekind said that a 26-minute nap would improve performance by 34%. He believes that beyond the aviation industry, other professions, such as motoring and machinery, also carry obvious risks. But other experts doubt whether 26 minutes is the appropriate napping time. It's a bit too long and risks you falling into a deep sleep, says Jim Horne, director of the Sleep Research Council. He said, "A nap of about 15 minutes is best; once you get beyond 20 minutes, you risk a deep sleep and you can be much more tired when you wake up. Therefore, we suggest that a nap be combined with a cup of coffee so that you can enjoy an effective sleep before the caffeine takes effect in 20 minutes. However, this method only works on those who have had a poor night's sleep. If you haven't had a sleep the night before, this method won't be enough to make you fresh." Health writer, Linda Wasmer Andrews, also believes that 26 minutes is too long. She says a nap between 10 and 20 minutes is enough, and the timing of the nap is also important. Putting your head down too early means your body may not be ready to sleep yet, but a nap that is too late in a day might make it harder to fall asleep. Early afternoon is often the best time, between l pm to 3pm, when people experience a post-lunch decrease in energy.
Answer: How long a nap should last.
Answer: What does the text mainly talk about?
Question: Article: I want to talk about the economy.Not "the economy" we hear about endlessly in the news each day and in politicians' speeches.I want to talk about the real economy, the one we live in day by day. Most people aren't particularly interested in "the economy"."Share prices are flying high; interest rates are soaring; the Dow Jones Index closed sixty-three points down on 8472.35." We hear this and subconsciously switch off. Notice that "the economy" is not the same as the economy, "The economy" is what men in suits play with to make vast personal wealth.The economy is where the rest of us live on a daily basis, earning our living, paying our taxes, and purchasing the necessities of life. We are supposed to be benefiting from all the advantages of a well-off society.So why do we feel tired and stressed? We have no time for anything other than work, which is ridiculous given the number of labor-saving devices in our lives.Our towns become more and more crowded.We poison our air and seas, and our food is full of chemicals.There's something wrong here.If times were truly good, then you may think we'd all feel optimistic about the future.Yet the majority of us are deeply worried.More than 90 percent of us think we are too concerned about ourselves and not concerned enough about future generations. The term "economic expansion" suggests something desirable, but expansion simply means spending more money.More spending doesn't mean that life is getting better.We all know it often means the opposite - greed, crime, poverty, pollution.More spending merely feeds our whole economic system, which is based on production and consumption.Unless money keeps circulating, the economy breaks down.If we don't keep consuming, the whole system goes into stalemate . How do we break the cycle and make some changes? We need to become far more aware of the results of our actions.We buy clothes that are made in sweat shops by virtual slaves in poor parts of the world.We create mountains of waste.We demand cheap food, mindless of the fact that it totally lacks taste and is produced using chemicals that poison the land. The consumption culture makes us unaware of the effect of our own behavior.Our main problem is not that we don't know what to do about it.It is gathering the desire to do it.
Answer: Shopping in a supermarket
Answer:
|
According to the author, which one belongs to the real economy?
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NIv2
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task311_race_question_generation
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fs_opt
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] |
In this task, you are given a fact statement and question based on the fact. Your task is to generate the correct answer for the question. The answer needs to be generated using the context fact statement.
Example Input: Fact: a chipmunk eats acorns. Question: a student leaves a bag of acorns on the playground, which one of these will most likely take it?
Example Output: a stray local chipmunk
Example Input: Fact: recycling resources has a positive impact on the environment. Question: Keeping shopping bags out of the dump affects the earth?
Example Output: positively
Example Input: Fact: a windmill converts wind energy into electricity. Question: There is a growing movement to harness the power of wind in order to?
Example Output:
|
heat our homes
| 3
|
NIv2
|
task1399_obqa_answer_generation
|
fs_opt
|
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] |
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
Example: Questions are gathered from anonymized, aggregated queries to the Google search engine. Queries that are likely to be yes/no questions are heuristically identified: we found selecting queries where the first word is in a manually constructed set of indicator words and are of sufficient length, to be effective.
Questions are only kept if a Wikipedia page is returned as one of the first five results, in which case the question and Wikipedia page are given to a human annotator for further processing.
Annotators label question/article pairs in a three-step process. First, they decide if the question is good, meaning it is comprehensible, unambiguous, and requesting factual information. This judgment is made before the annotator sees the Wikipedia page. Next, for good questions, annotators find a passage within the document that contains enough information to answer the question. Annotators can mark questions as “not answerable" if the Wikipedia article does not contain the requested information. Finally, annotators mark whether the question's answer is “yes" or “no". Annotating data in this manner is quite expensive since annotators need to search entire Wikipedia documents for relevant evidence and read the text carefully.
Example solution: how was the dataset built?
Example explanation: This is a good question, and it is answerable based on the context.
Problem: Baselines. We compare our approach (FacTweet) to the following set of baselines:
[leftmargin=4mm]
LR + Bag-of-words: We aggregate the tweets of a feed and we use a bag-of-words representation with a logistic regression (LR) classifier.
Tweet2vec: We use the Bidirectional Gated recurrent neural network model proposed in BIBREF20. We keep the default parameters that were provided with the implementation. To represent the tweets, we use the decoded embedding produced by the model. With this baseline we aim at assessing if the tweets' hashtags may help detecting the non-factual accounts.
LR + All Features (tweet-level): We extract all our features from each tweet and feed them into a LR classifier. Here, we do not aggregate over tweets and thus view each tweet independently.
LR + All Features (chunk-level): We concatenate the features' vectors of the tweets in a chunk and feed them into a LR classifier.
FacTweet (tweet-level): Similar to the FacTweet approach, but at tweet-level; the sequential flow of the tweets is not utilized. We aim at investigating the importance of the sequential flow of tweets.
Top-$k$ replies, likes, or re-tweets: Some approaches in rumors detection use the number of replies, likes, and re-tweets to detect rumors BIBREF21. Thus, we extract top $k$ replied, liked or re-tweeted tweets from each account to assess the accounts factuality. We tested different $k$ values between 10 tweets to the max number of tweets from each account. Figure FIGREF24 shows the macro-F1 values for different $k$ values. It seems that $k=500$ for the top replied tweets achieves the highest result. Therefore, we consider this as a baseline.
|
Solution: What baselines do they compare to?
| 5
|
NIv2
|
task461_qasper_question_generation
|
fs_opt
|
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] |
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
--------
Question: [[-173, -53, -182, -135, -193, -186], [-160, -98, -103], [17, -38, 36, -50, -36]]
Answer: [-53, -98, 36]
Question: [[-64, -150, 1, 7, -71, -89, 54], [44, 34, -40], [40, -184, 50, -161, 38, -108], [-178, -136, -170, -59, -71, 12], [-80, -60, 24, -169, -1], [-145, -28, -63]]
Answer: [54, 44, 50, 12, 24, -28]
Question: [[-76, -26, -165, 74, -62, -180], [-158, -35, 27, -66, 18, -96], [-179, 74, -55, -47], [-123, -82, 29], [-160, -129, -59, -187, -32], [-152, 89, 99, 79, 46]]
Answer:
|
[74, 27, 74, 29, -32, 99]
| 7
|
NIv2
|
task207_max_element_lists
|
fs_opt
|
[
0.17756125330924988,
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0.08820262551307678,
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0.12846922874450684,
1.1761415004730225,
0.6467218399047852,
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] |
Instructions: In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences have been separated by a newline character.
Input: پدیده بودن فرشتگان (مجردات) به علت نیازمندی آنهاست.
دلیل پدیده بودن فرشتگان، نیازمند بودن است.
Output:
|
E
| 3
|
NIv2
|
task534_farstail_entailment
|
zs_opt
|
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] |
Detailed Instructions: Two analogies that relate actions with their consequences are given in the form "A : B. C : ?". The phrase "A : B" relates action A to consequence B. Your task is to replace the question mark (?) with the appropriate consquence of the given action C, following the "A : B" relation. Your answer should be a single verb, without further explanation.
Q: ignite : burn. nourish : ?
A:
|
grow
| 9
|
NIv2
|
task1152_bard_analogical_reasoning_causation
|
zs_opt
|
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] |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
--------
Question: The eggs are deposited in decaying organic matter and from these eggs . hatch in a day or two pale yellow , legless worms , called maggots .
Answer: अंडे गल रहे जैव पदार्थ में दिए जाते हैं जिनसे एक हया दो दिन में फीके पीले बिना टांगों वाले अपादक ( मैगट ) निकलते हैं ।
Question: Influenced by the philosophy of Vallabacharya, the poets of this sect indulged in poems that mostly describe the childhood mischiefs of Srikrishna.
Answer: वल्लभाचार्य के सिद्धांतो से प्रभावित होकर इस शाखा के कवियों ने कृष्ण की बाल-लीलाओं का ही अधिक वर्ण किया है।
Question: We beg to conclude with the expression of our hope that you may long continue to discharge the responsible and onerous duties of your office , with credit to yourself and satisfaction to all the subjects of Her Majesty in the Bombay Presidency .
Answer:
|
4 . हम इस आशा की अभिव्यक़्ति के साथ यह पत्र समाप्त करनेके प्रार्थी हैं आप अपने पद के उत्तरदायित्वपूर्ण और दुर्भर कर्तव्यों को दीर्घकाल तक अपने लिए ख़्याति और बंबई प्रेसिडेंसी में महामहिम की प्रजा की संतुष्टि साथ
| 7
|
NIv2
|
task425_hindienglish_corpora_en_hi_translation
|
fs_opt
|
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] |
Teacher: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'.
Teacher: Now, understand the problem? Solve this instance: 6674 sottrazione 5866 sottrazione 9434 sottrazione 9684 aggiunta 4607
Student:
|
-13703
| 6
|
NIv2
|
task086_translated_symbol_arithmetic
|
zs_opt
|
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] |
Detailed Instructions: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Q: A manically generous Christmas vaudeville .
A:
|
POS
| 9
|
NIv2
|
task363_sst2_polarity_classification
|
zs_opt
|
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] |
Detailed Instructions: In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Problem:Many natural language understanding (NLU) tasks, such as shallow parsing (i.e., text chunking) and semantic slot filling, require the assignment of representative labels to the meaningful chunks in a sentence. Most of the current deep neural network (DNN) based methods consider these tasks as a sequence labeling problem, in which a word, rather than a chunk, is treated as the basic unit for labeling. These chunks are then inferred by the standard IOB (Inside-OutsideBeginning) labels. In this paper, we propose an alternative approach by investigating the use of DNN for sequence chunking, and propose three neural models so that each chunk can be treated as a complete unit for labeling. Experimental results show that the proposed neural sequence chunking models can achieve start-of-the-art performance on both the text chunking and slot filling tasks.
Solution:
|
Neural Models for Sequence Chunking
| 8
|
NIv2
|
task1540_parsed_pdfs_summarization
|
zs_opt
|
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] |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? How might this help other research or researchers?), Purpose (What specific things do the researchers want to do? What specific knowledge do the researchers want to gain? What specific hypothesis do the researchers want to test?), Method (How did the researchers do the work or find what they sought? What are the procedures and steps of the research?), or Finding (What did the researchers find out? Did the proposed methods work? Did the thing behave as the researchers expected?).
--------
Question: the nsp3 mutant , produced more viral RNA than wild-type virus.
Answer: finding
Question: Colostral Ig preparations designed for farm animals have been commercially available for many years.
Answer: background
Question: All discussions were conducted in the local dialect of respondents.
Answer:
|
method
| 7
|
NIv2
|
task1163_coda19_section_classification
|
fs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Tweet: @anonymized_account Daria ale ten musiał kochany? ;-) , Question: Does the tweet contain cyberbullying (harmful) content?
Output:
|
No
| 1
|
NIv2
|
task839_cdt_classification
|
zs_opt
|
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] |
instruction:
Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
question:
This is a truly remarkable device - a mouse and fully functional keyboard combined, that sits flat on my desk along with all my other papers and books (try that with a traditional keyboard and mouse - its not easy). The TouchStream takes up little space, is lightningly fast and accurate, and folds up to sit neatly next to my iMac when i don't use it. As with anything worth the effort, one needs to spend some time learning how to use it - one even does it with a car or a bicycle, and even a pen, so why not with a keyboard. I have the QWERTY version, but type Dvorak and have also activated the mouse on the left hand side of the device. I'ts endlessly configurable to suit just what you want. I have a TouchStream at home and now want another to use another at work - but FingerWorks are now not operating any more, so i'm hoping to get one second hand. It's beyond me why anyone would use a clunky keyboard and a separate erratic mouse (as most are) when something so remarkable is available, or rather, was available. Is there not some other manufacurer that wants to take up making these keyboards?
answer:
Positive Review
question:
It was very well made and fits my needs exactly!
answer:
Positive Review
question:
It works. You can put your Kindle in it and stand the device up for hands-free reading. It protects the screen, and allows access to the on/off switch and charging interface. It snaps shut and so does the stand. It is waterproof (not leather) and has an attractive design on the front. It won't keep sand out if you toss it in your tote bag and take it to the beach, so I suggest you put it in another protective case that zips up and is fully removable for use. I found one that was made for the Kindle 2, which fits perfectly a Kindle 3 with this case on. Between the combo I get super protection when being carried in my bag and decent protection when in use. And I paid $10 more for the thing than they're asking for it now!
answer:
|
Positive Review
| 9
|
NIv2
|
task1343_amazon_us_reviews_rating
|
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 need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Sentence: The stained-glass windows may have {{ developed }} unpremeditated patinas , the paneling may be no more durable than the planks in a political platform .
Word: developed
Output:
|
VERB
| 1
|
NIv2
|
task1168_brown_coarse_pos_tagging
|
zs_opt
|
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] |
Given the task definition and input, reply with output. In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
After removing 135 questions during the validation, the final dataset comprises 13,939 questions, 3,827 of which require commonsense knowledge (i.e. 27.4%).
Question: what is the size of their dataset?
|
13,939
| 5
|
NIv2
|
task460_qasper_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, 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 |
Context Word: humidity.
Output:
|
Sentence 1: The dehumidifier I bought helped counteract the humidity of my showers, because the _ made the house steamy.
Answer1: showers.
Sentence 2: The dehumidifier I bought helped counteract the humidity of my showers, because the _ made the house arid.
Answer2: dehumidifier.
| 1
|
NIv2
|
task029_winogrande_full_object
|
zs_opt
|
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] |
A text is given in Bengali. Translate it from the Bengali language to the Oriya language. The translation must not omit or add information to the original sentence.
Q: ମୋର ପ୍ରିୟ ଦେଶବାସୀ 5 ଟ୍ରିଲିୟନ ଆମେରିକୀୟ ଡଲାର ଅର୍ଥବ୍ୟବସ୍ଥାର ସ୍ୱପ୍ନ ହେଉ, ସ୍ୱାବଲମ୍ବୀ ଭାରତର ସ୍ୱପ୍ନ ହେଉ, ମହାତ୍ମା ଗାନ୍ଧୀଙ୍କ ଆଦର୍ଶକୁ ବଂଚାଇ ରଖିବା ଲାଗି ଆଜି ବି ଆମେ ପ୍ରସ୍ତୁତ । ମହାତ୍ମା ଗାନ୍ଧୀଙ୍କ ବିଚାର ଆଜି ମଧ୍ୟ ସ୍ତୁତି କରିବା ଭଳି । ତେଣୁ ସେଥିପାଇଁ ମେକ ଇନ ଇଣ୍ଡିଆର ଯେଉଁ ଅଭିଯାନ ଆମେ ଆରମ୍ଭ କରିଥିଲୁ, ତା’କୁ ଆମକୁ ଆଗେଇ ନେବାକୁ ହେବ । ଭାରତରେ ଉତ୍ପାଦିତ ସାମଗ୍ରୀ, ଆମର ପ୍ରାଥମିକତା କାହିଁକି ହେବା ଉଚିତ ନୁହେଁ?
A:
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যখন আমরা স্বপ্ন দেখি, স্বাধীনতার ৭৫ বছর উদযাপনের, তখন ভারতের সব গ্রামে অপটিক্যাল ফাইবার নেটওয়ার্ক ব্রডব্যান্ড হোক, ব্যান্ড কানেক্টিভিটি হোক, দূরশিক্ষা প্রকল্পের সুবিধা চালু হোক- এই সব স্বপ্ন যখন দেখি, আমাদের সমুদ্র সম্পদ, নীল অর্থনীতির ক্ষেত্রেও আমরা এগিয়ে যাব। আমাদের মৎস্যচাষী ভাইবোনেদের আমরা শক্তি জোগাব।
| 4
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NIv2
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task998_pib_translation_oriya_bengali
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zs_opt
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] |
instruction:
In this task, given a sentence in the Burmese Language, your task is to convert it into the English language.
question:
အဆိုပါ ဟိုတယ် သည် တစ်ချိန် က တူညီသော နေရာ တွင် တည်ရှိခဲ့သည် ဟု ဒေသ တွင်း စီးပွားရေး ပိုင်ရှင်များ နှင့် နေထိုင်သူများ က သံသယရှိခဲ့သည် ။
answer:
It was suspected by residents and business owners in the area that hotel once stood in the same spot.
question:
ဘယ်သူ မှ အသက် အန္တရာယ် ထိခိုက်မှု မ ရှိခဲ့ သော်လည်း ၊ စုစုပေါင်း မီးသတ်သမား ၅၈ ယောက် မီးတောက် များ ဖြင့် ထိခိုက် ဒဏ်ရာရခဲ့သည် ။
answer:
58 firefighters were injured in total by the blaze, although no life-threatening injuries were sustained.
question:
အက်ကာ သည် တူရကီ အမျိုးသားရေး အဖွဲ့အစည်း ၏ အဖွဲ့ဝင် တစ်ဦး ဖြစ် ပြီး သူ သည် တူရကီ စစ်သွေးကြွတစ်ဦး ဖြစ် သော်လည်း ပစ်ခတ်မှု အတွက် သူ ၏ ရည်ရွယ်ချက်တွေ ကို မသိရသေး ဘဲ ရှိနေဆဲဖြစ်ပါသည် ။
answer:
|
Agca was a Turkish militant who was a member of the nationalist Grey Wolves; however, his motives for the shooting remain unclear.
| 9
|
NIv2
|
task538_alt_translation_bu_en
|
fs_opt
|
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] |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: 10, 10, ['415', '7115', 'K', '8469', 'z', '3661', '5457', '7923', 'n', 'B', 'K', 'S', '7029', '1275', '2439', 'i', '4267', 'L', 'l', '5283', 'D', '1691', 'w']
Student:
|
B
| 6
|
NIv2
|
task100_concatenate_all_elements_from_index_i_to_j
|
zs_opt
|
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] |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Example: 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
Example solution: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Example explanation: The Japanese sentence is correctly translated into Farsi, because the meaning is preserved.
Problem: お家で素敵な時間を過ごすの ♫ 私は言った「神様、私は幸せだってこの子と散歩してるんだもの」 ♫ あの歌を歌いながらぶらぶらしてね ♫ そうよ、私とあなただけお日さまを浴びて二人なら全てがうまくいくに違いないわ ♫ 嫌ったり、疑ったりあなたはそんな感情とは無関係だし ♫ それに私、ゴマすり屋の人達のたわ言には関心がないから ♫ もし寂しいなら迷子の動物の収容所に行って犬を一匹連れて帰ってくればいいわ ♫ そしてその子の立派な飼い主になるの ♫ 簡単でしょ ♫ 本当に簡単なことなの ♫
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Solution: ما با همدیگه شادترین خانه رو درست کردیم. و من گفتم ، "" خدایا من خوشحالم ، چونکه با سگم دارم راه میرم ، در حالی که آنگمو می خونم ، و به اینور و اونور پرسه می زنم. "" آره ، فقط من و سگم هستیم ، که داریم آفتاب می گیریم ، و راه رو گم نمی کنیم ، چون من به تنفر و شک تو توجهی نمی کنم ، و به عصبانیت سیاست مداران توجهی نمی کنم. اگه تو همسفری می خوای ، به محل نگهداری حیوانات گمشده برو و برای خودت یک سگ شکاری پیدا کن و اون سگ رو مفتخر کن ، چونکه این همون چیزیه که اون سگ لایقشه ، این همون چیزیه که اون سگ لایقشه ،
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NIv2
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task1098_ted_translation_ja_fa
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fs_opt
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] |
Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
Q: language is a kind of communication
A: language IsA communication
****
Q: ocean can have or can contain fish
A: ocean HasA fish
****
Q: baby is a kind of girl
A:
|
baby IsA girl
****
| 4
|
NIv2
|
task1510_evalution_relation_extraction
|
fs_opt
|
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] |
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
[Q]: Sentence: BRAMALEA Ltd. said 0 it agreed *-1 to issue 100 million Canadian dollars -LRB- US$ 85.1 million *U* -RRB- of {{ 10.5 }} % senior debentures due Nov. 30 , 1999 , together with 100,000 bond purchase warrants .
Word: 10.5
[A]: NUM
[Q]: Sentence: But GMAC approved the Buick program {{ , }} he says 0 *T*-1 , because the American Express green card requires payment in full upon billing , and so does n't carry any finance rates .
Word: ,
[A]: .
[Q]: Sentence: Troubled NBI {{ Inc. }} said 0 it fired more than half its work force and is discontinuing its hardware business *-1 to focus on its software and service operations .
Word: Inc.
[A]:
|
NOUN
| 5
|
NIv2
|
task1167_penn_treebank_coarse_pos_tagging
|
fs_opt
|
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] |
Detailed Instructions: Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Problem:The book is a good read if you are in high school. For me the subject was boring at times and I had to look up different words. Would have enjoyed more details about a girl being put through some things when she couldn't get out of her own way. I wish that it would be an easy reading. Also this girl should not ever have gotten involved with people like herself. Not very happy with this book, but hopefully there will come others before she does end up.
Solution:
|
Bad review
| 8
|
NIv2
|
task929_products_reviews_classification
|
zs_opt
|
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] |
Definition: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
Input: Comment: JJ
In case you missed science class, trees grow back and you can cut them again and again. Kind of like wheat or corn which I assume you use daily.
Output:
|
Non-toxic
| 2
|
NIv2
|
task327_jigsaw_classification_toxic
|
zs_opt
|
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] |
Q: You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Lilly recounted a story to remember because Holly had also recounted a story to.
A:
|
0
| 7
|
NIv2
|
task1346_glue_cola_grammatical_correctness_classification
|
zs_opt
|
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] |
Detailed Instructions: In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an anaphor number agreement or as an incorrect representation. An anaphor is an expression whose interpretation depends upon another expression. Anaphor number agreement is a restriction where a phrase agrees with the preceeding expression: plurals match plurals or singular expressions match singular expressions. In this task a valid representation of anaphor number agreement should be denoted as 'good' while everything else should be denoted as 'bad'. A correct representation of an anaphor number agreement will be a grammatically correct instance of a sentence where the subject and self-referencing nouns match plurality. An incorrect representation is a sentence in which the subject and self-referencing noun's plurality do not match.
Q: Edward had distracted themselves.
A:
|
bad
| 9
|
NIv2
|
task1560_blimp_binary_classification
|
zs_opt
|
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] |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Example input: Sentence: 'breakfast and a glass of milk is on the table'. Remove all words of length '3' in the given sentence.
Example output: breakfast a glass of milk is on table
Example explanation: Words 'and', 'the' are of length 3. So they are correctly removed.
Q: Sentence: 'a man does a skateboard trick up a ramp'. Remove all words of length '5' in the given sentence.
A:
|
a man does a skateboard up a ramp
| 3
|
NIv2
|
task377_remove_words_of_given_length
|
fs_opt
|
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] |
The provided file includes inquiries about restaurants, and we ask you to translate those to the Spanish language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for special placeholders. Please do the same in your translations.
[Q]: search for " dairy queen " .
[A]: busca " dairy queen ".
[Q]: display all the restaurants that have at least a rating of 7 .
[A]: muestra todos los restaurantes que tengan al menos una calificación de 7.
[Q]: show me " french " restaurants .
[A]:
|
muéstrame restaurantes " french ".
| 5
|
NIv2
|
task171_spl_translation_en_es
|
fs_opt
|
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] |
Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
concept: Wale question: who was wale signed to?
|
['Def Jam Recordings', 'Warner Bros. Records', 'Roc Nation', 'Allido Records', 'Interscope Records']
| 0
|
NIv2
|
task1601_webquestions_answer_generation
|
zs_opt
|
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] |
In this task, you will be presented with a question having multiple possible answers in Vietnamese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Nếu tôi đang chán nản, và tôi muốn làm điều gì đó với từ điển, điều gì sẽ giúp ích?
Options: A bỏ cuộc B xem nghệ thuật C giải ô chữ D cửa hàng tạp hóa E chơi cờ
|
C
| 0
|
NIv2
|
task1130_xcsr_vi_commonsense_mc_classification
|
zs_opt
|
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] |
Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Input: No contrato do profesor se limita o número de veces que o director virá á aula, ás veces á unha soa vez por curso.
Output:
|
W kontrakcie nauczyciela istnieje limit na ilość odwiedzin dyrektora podczas zajęć, czasami jest to raz na rok.
| 3
|
NIv2
|
task1244_ted_translation_gl_pl
|
zs_opt
|
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] |
TASK DEFINITION: Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
PROBLEM: entity: cleaner
before: in bottle
after: on stove
attr: location
SOLUTION: location of cleaner was in a bottle before and on the stove afterwards
PROBLEM: entity: balls
before: bare
after: covered
attr: state
SOLUTION: state of balls was bare before and covered afterwards
PROBLEM: entity: pulp
before: in measuring cup
after: in saucepan
attr: location
SOLUTION:
|
location of pulp was in measuring cup before and in saucepan afterwards
| 8
|
NIv2
|
task1631_openpi_answer_generation
|
fs_opt
|
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] |
Detailed Instructions: In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the end sentence choices from (A) and (B), such that the story does not sound complete and coherent, i.e., select an incorrect end sentence.
Problem:Sentence1: White roses were Lilly's favorite flower. Sentence2: She grew them in her garden. Sentence3: One day she pricked her finger on a thorn. Sentence4: She thought nothing of it.
(A) Lilly's finger had to be amputated. (B) The prick got infected and she had to take antibiotics.
Solution:
|
A
| 8
|
NIv2
|
task297_storycloze_incorrect_end_classification
|
zs_opt
|
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Definition: In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Input: find the order_id, customer_id, customer_id of Customer_Orders table for which order_status_code equals Cancelled ordered ascending by order_date
Output:
|
SELECT order_id , customer_id , customer_id FROM Customer_Orders WHERE order_status_code = "Cancelled" ORDER BY order_date Asc
| 2
|
NIv2
|
task077_splash_explanation_to_sql
|
zs_opt
|
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] |
Instructions: In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
Input: I loved the way the lights looked on this cable. When it worked. After five months of using it, the lights stopped working, after six months, it shorted out completely. I only ever used it in my room on my night stand, never even unplugging it from the outlet or moving it. Even still, it stopped working in less than half a year.
Output:
|
Not very durable. Looks cool when it is working, but don't expect it to last long.
| 3
|
NIv2
|
task618_amazonreview_summary_text_generation
|
zs_opt
|
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] |
Definition: You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypothesis. Your task is to return 'entails' if the premise supports hypothesis else return 'neutral'.
Input: Premise: There are four stages in the normal cell cycle.
Hypothesis: Cells have four cycles.
Output:
|
entails
| 2
|
NIv2
|
task1529_scitail1.1_classification
|
zs_opt
|
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] |
instruction:
In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
question:
Context: Crouch became only the fourth player in Division 1 history to both pass and rush for 3,000 yards in a career with his performance against Texas Tech. Link Information: The Texas Tech Red Raiders football program is a college football team that represents Texas Tech University (variously "Texas Tech" or "TTU"). The team competes, as a member of the Big 12 Conference, which is a Division I Football Bowl Subdivision (formerly Division I-A) of the National Collegiate Athletic Association (NCAA). The program began in 1925 and has an overall winning record, including a total of 11 conference titles and one division title. On November 30, 2018, Matt Wells was hired as the team's 16th head football coach after former Red Raiders quarterback Kliff Kingsbury was terminated upon conclusion of the 2018 season. Home games are played at Jones AT&T Stadium in Lubbock, Texas. Question: What city is the school that Crouch was playing against when he passed the 3,000 yard mark for both passing and rushing located in?
answer:
Answer: Lubbock, Texas
question:
Context: In the second round he was beaten in three sets by Link Information: Corretja was born in Barcelona Question: What city was the person who defeated Ignacio in the second round born in?
answer:
Answer: Barcelona
question:
Context: no presidential candidate would sweep all five boroughs of NYC again until Lyndon Johnson in 1964. Link Information: Lyndon Baines Johnson (; August 27, 1908January 22, 1973), often referred to by the initials LBJ, was an American politician who served as the 36th president of the United States from 1963 to 1969 Question: For how many years did the man serve as President that swept all five boroughs of NYC in 1964?
answer:
|
Answer: 6
| 9
|
NIv2
|
task237_iirc_answer_from_subtext_answer_generation
|
fs_opt
|
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] |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Example: Beginning: Butch had a really old computer. Middle 1: Butch decided to order a new computer online. Middle 2: Butch noticed that a storm was approaching to his town. Ending: It arrived and Butch was much happier.
Example solution: 2
Example explanation: People generally don't feel happy about natural disasters like storms. Therefore, we choose 2 in this case.
Problem: Beginning: I woke up unusually early this morning. Middle 1: I hated watching it snow outside. Middle 2: I got to enjoy watching it snow outside. Ending: I savored the moment while my two children slept nearby.
|
Solution: 1
| 5
|
NIv2
|
task070_abductivenli_incorrect_classification
|
fs_opt
|
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] |
Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
See one example below:
Problem: ۵۲٪ از کاربران رایانه دارای دانش رایانهای هستند.
Solution: 52% of computer users are Internet literate.
Explanation: This is a good example. The above sentence is correctly translated from Persian to English.
Problem: کمیکال هت مینویسد رکود اقتصادی دوباره بسیاری از ویتنامیها را مجبور کرده به دوچرخههای خود رو آورند
Solution:
|
Because of economic downturn, more people are using their bicycles again to save money in Vietnam, as reported by The Comical Hat
| 4
|
NIv2
|
task662_global_voices_fa_en_translation
|
fs_opt
|
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-0.01918979175388813,
-0.8885542154312134,
-0.496121346950531,
0.13067784905433655
] |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
you can no longer concentrate on business.
|
ديگر نميتواني به تجارت فكركني
| 0
|
NIv2
|
task658_tep_en_fa_translation
|
zs_opt
|
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] |
Q: Given a document, generate a short title of the document. The title should convey the main idea/event/topic about which the document is being written. Note that URLs in the text have been replaced with [Link].
Roseland Community President and CEO Tim Egan argued some of the information used in Leapfrogâs assessment of hospitals was dated and not representative of current conditions at his hospital. The hospital didnât finish filling out the survey sent by Leapfrog because of a lack of resources and was instead focused on gaining re-accreditation from the Healthcare Facilities Accreditation Program which it achieved in recent weeks he said.
Egan also pointed to rising patient satisfaction levels. Patient satisfaction rose significantly across a dozen different measures between 2016 and 2017 according to surveys performed for the hospital. âYou have to judge (based) on what the patients are saying about the hospital â Egan said.
About 60 percent of Roselandâs patients are on Medicaid a state and federally funded health insurance program for the poor Egan said. About 24 000 patients visit the hospitalâs emergency department each year including victims of violence and gunshots.
Shortly before Egan took over in 2013 the hospital accepted money from the state to avoid closure. Egan was tasked with helping to turn around Roseland. The hospital was $30 million in debt when Egan took over and is now about $6 million in debt he said.
A:
|
Far South Side hospital disputes F grade for safety
| 7
|
NIv2
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task418_persent_title_generation
|
zs_opt
|
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] |
Teacher:In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Teacher: Now, understand the problem? Solve this instance: Weasels reaching _ to six years are regarded as fully mature.
Student:
|
five
| 6
|
NIv2
|
task672_nummersense
|
zs_opt
|
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] |
Q: In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
So drunk me hid my keys very well sober me couldn't find it anywhere
A:
|
Not sad
| 7
|
NIv2
|
task399_semeval_2018_task1_tweet_sadness_detection
|
zs_opt
|
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In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate anything else apart from one of the following characters: "A", "B", "C", "D". There is only one correct answer for each question.
One example is below.
Q: Article: Homework can put you in a bad mood , and that might actually be a good thing. Researchers from the University of Plymouth in England doubted whether mood might affect the way kids learn. To find out the answer, they did two experiments with children. The first experiment tested 30 kids. Someshapes were hidden inside a different, larger picture. The kids had to find the small shapes while sitting in a room with either cheerful or sad music playing in the background. To test their mood, the scientists asked the kids to point to one of five faces, from happy to sad. Children who listened to cheerful music tended to point to the smiley faces while the others pointed to the unhappy ones. The researchers found that sad kids took at least a second less to find the small shapes. They also found an average of three or four more shapes. In the second experiment, 61 children watched one of two scenes from a film. One scene was happy, and the other was sad. Just like in the first experiment, kids who saw the sad scene acted better compared to the others. The researchers guessed that feeling down makes people more likely to focus on a problem or difficult situation. Not all scientists agree with them, however. Other studies argued that maybe, that cheerful music in the first experiment distracted kids from finding shapes. While scientists work on finding out the answers, it still might be wise to choose when to do your tasks according to your mood. After eating a delicious ice cream, for example, write an essay.
Question: Researchers did experiments on kids in order to find out _ .
Options: (A) how they really feel when they are learning (B) whether mood affects their learning ability (C) what methods are easy for kids to learn (D) the relationship between sadness and happiness
A: B
Rationale: It is clearly mentioned in the article that to the check effect of mood on children is the main purpose of the experiment. So, B is the correct answer.
Q: Article: At five he was collecting old newspapers to make money.And when he was fifteen he signed his schoolmates up to start a baby-sitting circle . Now 20,third- year Cambridge University student,Peter Blackburn is the managing director of company with a 30,000 pounds plan.And he thinks he will make more than $15,000 by next summer. He set up Peter Blackburn Company last year to bring out a new color term-planner that now students all over the UK are using. "I felt that most of the planners going around were pretty unimaginative,"he says."I believed that I could do a better job and decided to have a go." Blackburn agrees that he is putting far more effort into business than his computer studies course at university.While fellow students are out with their friends,he keeps in touch with his business office in Lancashire by mobile phone.Before he set up the company he spent one holiday preparing a plan that would persuade the bank to lend him money. "Most students work hard for a good degree because they believe that will help them get a job to support themselves,"he says."I work hard at my company,because that is what will support me next year,after I leave college." Friends believe that Blackburn will make one million pounds within five years. He is not quite so sure,however."There is a lot to be done yet,"he says.
Question: When he was quite young,Blackburn _ .
Options: (A) already made a lot of money (B) already had a business brain (C) was already a managing director of a company (D) already set up his own business
A:
|
B
| 9
|
NIv2
|
task309_race_answer_generation
|
fs_opt
|
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instruction:
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Spanish language.
question:
In relation to the treatment of a smoking patient with a non-small cell lung cancer of 4 cm in diameter, located in the peripheral region of the right upper lobe, which invades the visceral pleura and is accompanied by ipsilateral hilar lymph node involvement. Which of the following therapeutic options is more appropriate?
answer:
En relación con el tratamiento de un paciente fumador con un cáncer de pulmón no microcítico de 4 cm de diámetro, situado en la región periférica del lóbulo superior derecho, que invade la pleura visceral y se acompaña de afectación ganglionar hiliar ipsilateral. ¿Cuál de las siguientes opciones terapéuticas es más apropiada?
question:
Antonio, 75, with no personal history of interest, goes to the emergency department for a syncopal picture, with loss of knowledge. On arrival at the emergency room, cardiac auscultation detected bradycardia of 30-40 beats / minute, confirming, on the electrocardiogram (ECG) performed, the existence of a third-degree atrioventricular block, with ventricular escape of 32 beats / minute, Which drug would be the most indicated to use in this situation until the placement of a pacemaker ?
answer:
Antonio de 75 años, sin antecedentes personales de interés, acude al servicio de urgencias por cuadro sincopal, con pérdida de conocimiento. A su llegada a urgencias, en la auscultación cardiaca se detecta bradicardia de 30-40 latidos /minuto, confirmándose, en el electrocardiograma (ECG) realizado, la existencia de un bloqueo auriculoventricular de tercer grado, con escape ventricular de 32 latidos/minuto, ¿Qué fármaco sería el más indicado utilizar en esta situación hasta la colocación de un marcapasos?
question:
The pharyngeal cannulas
answer:
|
Las cánulas faríngeas
| 9
|
NIv2
|
task1432_head_qa_language_translation_en_to_es
|
fs_opt
|
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] |
In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
Let me give you an example: A mosquito stings me
I sting a mosquito
The answer to this example can be: second
Here is why: The second statement doesn't make sense.
OK. solve this:
He used a potato to clean his ears.
He used a cotton swab to clean his ears.
Answer:
|
first
| 8
|
NIv2
|
task291_semeval_2020_task4_commonsense_validation
|
fs_opt
|
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] |
Detailed Instructions: In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Problem:Sentence 1: Weight is the measure of the force of gravity pulling down on an object. Sentence 2: People get energy to do work from FOOD A FORCE is a push or pull WEIGHT is the measure of how much gravity pulls an object Identify the three states of matter: solid, liquid, gas The ends of the magnet are the POLES (north & south) If 2 objects have unlike charges, they will ATTRACT.
Solution:
|
entails
| 8
|
NIv2
|
task1554_scitail_classification
|
zs_opt
|
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] |
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange.
[EX Q]: Prompt: Excuse me, referee, but does this happen in every dance competition?
Response 1: Yes, in my lengthy career judging these things, there's been a facet of every single one that you get someone far too young to handle the responsibility and then offer them to sing whatever nation's or cartoon series' anthem they so choose.
Response 2: Lisa, guess what? You graduated. I'm skipping you ahead.
[EX A]: Response 1
[EX Q]: Prompt: Mr. Two Horses, we'll meet you in our store, we just need to have to have a family member with the newest member of our family, Targin Firehead.
Response 1: OK, but if you don't come up with that extra nine dollars for shipping, I don't know what i'm gonna do with this picture of the crow.
Response 2: Yeah, my own room. A room of my own. Put that in your little self help book.
[EX A]: Response 1
[EX Q]: Prompt: Of course we grew up in Minsk and then spent some time in Italy. Before we come here.
Response 1: That's right, and of course I studied in hotdog school at The Sorbonne. In Paris.
Response 2: That's why adults get married.
[EX A]:
|
Response 1
| 6
|
NIv2
|
task362_spolin_yesand_prompt_response_sub_classification
|
fs_opt
|
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] |
instruction:
In this task, you are presented with a term, a question, and a yes/no answer. For context, the term is associated with a short description. Write the simple facts one needs to know in order to answer the given question. The facts should be easily found on the web (e.g. mentioned in a Wikipedia page)
question:
Term: Official, Description: someone who holds an office, Question: Can a Chesterfield become a government official?, Answer:No
answer:
Fact1: An official is a person who holds an office Fact2: A Chesterfield is a type of sofa or couch
question:
Term: Elton John, Description: English rock singer-songwriter, composer and pianist, Question: Is Elton John named after the man who killed the Lernean Hydra?, Answer:Yes
answer:
Fact1: Elton John's full name is Sir Elton Hercules John. Fact2: Hercules performed twelve labors, the second of which was to kill the Lernean Hydra.
question:
Term: Haiku, Description: very short form of Japanese poetry, Question: Is Lines on the Antiquity of Microbes briefer than any haiku?, Answer:Yes
answer:
|
Fact1: A haiku is a short Japanese poem that follows a 5, 7, 5 syllable structure. Fact2: Lines on the Antiquity of Microbes, also known simply as Fleas is said to be the shortest poem written. Fact3: Lines on the Antiquity of Microbes is made of one brief phrase: Adam. Had 'em.
| 9
|
NIv2
|
task169_strategyqa_sentence_generation
|
fs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Si può abusare di una mitragliatrice per sparare un sacco di proiettili.
Output:
|
Puoi usare una mitragliatrice per sparare a un sacco di proiettili.
| 1
|
NIv2
|
task408_mickey_it_sentence_perturbation_generation
|
zs_opt
|
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] |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Q: ان الاموال لم تكن تقدم هكذا..
A:
|
Non è un regalo gratis.
| 9
|
NIv2
|
task1106_ted_translation_ar_it
|
zs_opt
|
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] |
Detailed Instructions: This task is to translate the English language Input to Telugu Language Output
Problem:Ankara, Turkey — addresses and reviews about the companies
Solution:
|
Ankara, Turkey — చిరునామాలు మరియు సంస్థలు గురించి సమీక్షలు
| 8
|
NIv2
|
task1616_cc_alligned_translate_eng_tel
|
zs_opt
|
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] |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Olive Grove], eatType[pub], food[English], priceRange[less than £20], area[riverside], familyFriendly[yes]
Output:
|
The Olive Grove is an English family-friendly pub with price ranges of less than £20. It is situated by the riverside.
| 2
|
NIv2
|
task957_e2e_nlg_text_generation_generate
|
zs_opt
|
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] |
Detailed Instructions: In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Problem:Dialogue 1: 'u say okay i will i m very bad at texting actually'. Dialogue 2: 'please him me why would you want to forget he hurts me alot'.
Solution:
|
yes
| 8
|
NIv2
|
task518_emo_different_dialogue_emotions
|
zs_opt
|
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] |
In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
One example is below.
Q: A herd of sheep standing together grazing in a pasture.
A: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે.
Rationale: The translated sentence also talks about a standing herd of sheep, thus we can say that it is a correct translation from English to Gujarati.
Q: A horse and carriage with two adult riders and a dog in a town street with cars.
A:
|
કાર સાથે ગામડા રસ્તામાં બે પુખ્ત રાઇડર્સ અને કૂતરા સાથે ઘોડો અને વાહન.
| 9
|
NIv2
|
task438_eng_guj_parallel_corpus_en_gu_translation
|
fs_opt
|
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] |
Given the task definition and input, reply with output. Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
concept: Canada question: which province in canada is the most populated?
|
['Ontario']
| 5
|
NIv2
|
task1601_webquestions_answer_generation
|
zs_opt
|
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] |
Definition: In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.
Input: Do you prefer working remotely?
Output:
|
Y has just told X that he/she is considering switching his/her job.
| 2
|
NIv2
|
task567_circa_text_generation
|
zs_opt
|
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] |
instruction:
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
question:
さらなる効果は、上述の誘拐にベネズエラ人が関与している可能性を疑わしいものにしようというフーゴ・チャベス大統領の行動への国際的な名声を減らそうということだ。
answer:
Efek tambahannya adalah untuk mengurangi gengsi internasional dari kepimpinan Presiden Hugo Chavez menciptakan keraguan tentang keterlibatan Venezuela yang dikatakan sebagai penculikan.
question:
セルビアは不承不承分離に合意し、ヨーロッパ連合が承認した。
answer:
Serbia dengan berat hati menyetujui pemisahan ini, dan Uni Eropa menyetujuinya.
question:
圧力団体、SOSRacismeは、事件は、部署が既に充分な権力を持っていることを示したと語った。
answer:
|
Tekanan grup Rasisme SOS menyatakan bahwa kejadian menunjukkan para pejabat sudah mempunyai tenaga yang cukup.
| 9
|
NIv2
|
task1115_alt_ja_id_translation
|
fs_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 return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. 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.
Input: Consider Input: 9, 17, ['9485', '5729', 'N', 'v', 'H', 'j', 'K', 'D', 'R', '2515', 'O', '2001', '9877', 'p', 'Y', '8407', '647']
Output: 23447
Input: Consider Input: 1, 1, ['D', 'W', '5783']
Output: 0
Input: Consider Input: 3, 5, ['X', 'M', 'o', '5993', 'J', '8065', '1259', 'n', 'W', '5923', '6985']
|
Output: 5993
| 2
|
NIv2
|
task606_sum_of_all_numbers_in_list_between_positions_i_and_j
|
fs_opt
|
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] |
Teacher: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".
Teacher: Now, understand the problem? Solve this instance: Review: Primal Species (1996, Dir. Jonathan Winfrey) International terrorists get a surprise when their cargo turn out to contain living dinosaurs. The army commando team now have to think fast, if they want to prevent the extinction of the human species, instead of the reptiles.You look at the cover and you gain your first impressions of the film. That is pretty much it. The acting is only just acceptable from a few characters. The story is poor, with the whole film based on the army and the marines trying to kill the dinosaurs. This film came out three years after 'Jurassic Park'. Instead, this film looks to have come out 13 years before 'Jurassic Park'. The dinosaurs costumes are so poorly made, and i do mean costumes. There are obviously people dressed up, and this film makes no attempts at hiding this. A scene when a dinosaur runs down a corridor is created in a way, in which it looks like someone is riding the creature. The is one good thing, which comes out of this film. The short running time. At only 1 hour and 15 minutes, it doesn't waste too much of your life, but still try to avoid it altogether."It's like a Friday the 13th Nightmare." - Officer (Brian Currie) Question: is it a positive review?
Student:
|
no
| 6
|
NIv2
|
task285_imdb_answer_generation
|
zs_opt
|
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] |
Detailed Instructions: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Problem:Fact: changes in an environment cause animals to adapt to survive. Question: If a climate becomes colder over time?
Solution:
|
bears that have sparse fur with thrive
| 8
|
NIv2
|
task1400_obqa_incorrect_answer_generation
|
zs_opt
|
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] |
Given the task definition, example input & output, solve the new input case.
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Example: what kind of film is Best Seller?
Output: crime
The answer is correct because crime genre movie is among best seller.
New input case for you: what does Tim Conner appear in?
Output:
|
A Claymation Christmas Celebration
| 1
|
NIv2
|
task615_moviesqa_answer_generation
|
fs_opt
|
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