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313k
| targets
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4.86k
| _template_idx
int64 0
9
| _task_source
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stringlengths 19
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Definition: In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Input: Problem: 0.0003 x 0.3 = ?
Options: a ) 0.0009 , b ) 9.0 e - 05 , c ) 0.09 , d ) 0.009 , e ) 9.0
Output:
|
b
| 2
|
NIv2
|
task1420_mathqa_general
|
zs_opt
|
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] |
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Example Input: Matthias Fosse โฆษกของโบสถ์ไซแอนโทโลจีในนอร์เวย์กล่าวว่า เจ้าหน้าที่ที่ถามคำถามกระทำการโดยส่วนตัว
Example Output: ノルウェーのサイエントロジー教会の代表者、聖マッテヤ・フォッシーは、問題のスタッフはそれぞれ個々に行動していると言った。
Example Input: ผู้พิพากษาเดวิด เอซรา ผู้พิพากษาศาลจังหวัดที่ฮาวาย ได้พิพากษาในเดือนพฤศจิกายน ปี 2004 ว่าข้อบังคับดังกล่าวนั้นได้เป็นไปตามรัฐธรรมนูญ
Example Output: ハワイの合衆国地方判事デイビッド・エズラ判事は、２００４年１１月にこの条例は合憲であると決定した。
Example Input: เสียงเรียกร้องให้แบ่งแยกดินแดนในประเทศกำลังเพิ่มมากขึ้น และนำไปสู่คำถามเกี่ยวกับอนาคตของอิรักในฐานะของรัฐรวม
Example Output:
|
国の分断の声はより大きくなっており、１つの国家としてのイラクの将来に疑問を投げかけている。
| 3
|
NIv2
|
task1128_alt_th_ja_translation
|
fs_opt
|
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] |
Detailed Instructions: In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
See one example below:
Problem: Context: Our prayers are with the students, educators & families at Independence High School & all the first responders on the scene. #PatriotPride— Doug Ducey (@dougducey) February 12, 2016 Question: at which school were first responders on the scene for?
Solution: independence high school
Explanation: From the context tweet, we can see that independence high school is the right answer.
Problem: Context: #Oilers & Dallas tied 2-2 after 40 thanks to @cmcdavid97's 1st NHL goal #EDMvsDAL | READ > — Edmonton Oilers (@EdmontonOilers) October 14, 2015 Question: what is the name of the team that is hugging
Solution:
|
oilers
| 4
|
NIv2
|
task239_tweetqa_answer_generation
|
fs_opt
|
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] |
Teacher: Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Text: 'try and ehm go as close to ravine as possible but up towards the carved stones'.
Solution: English
Reason: This is an English sentence.
Now, solve this instance: Text: 'the bottom of the page you mean'
Student:
|
English
| 2
|
NIv2
|
task896_miam_language_classification
|
fs_opt
|
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] |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Example input: É basicamente un caldeiro que rota.
Example output: ويوجد أساسا مرجل دوار.
Example explanation: The Galician sentence is correctly translated into Arabic, because the meaning is preserved.
Q: En cada lugar, construímos exposicións cunha historia, e a historia viaxou.
A:
|
في كل مكان انشانا معرضا لقصة, والقصة ارتحلت.
| 3
|
NIv2
|
task1241_ted_translation_gl_ar
|
fs_opt
|
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] |
Q: In this task, you will be given a sentence or two along with a change aspect. You should change the given text in the given aspect. Aspects are explained below:
Tense: Change the tense of the verbs in the text. If they're in past tense, change them to present, and if they're in present tense, change them to past tense.
Number: Change the number of the nouns in the given text. Make plurals into singles and single into plurals. Remember to change the corresponding pronouns accordingly.
Voice: If the verbs are in active voice, change them to be passive, otherwise, change them to be in active voice.
Adverb: add one or multiple adverbs to the text.
Gender: If the text contains female names and pronouns, substitute them with male names and pronouns. Do the same for sentences with mala names and pronouns.
sentence: The painting in Mark's living room shows an oak tree . it is to the right of the bookcase . aspect: Voice
A:
|
An oak tree is shown in the painting in Mark's living room . it is to the right of the bookcase .
| 7
|
NIv2
|
task275_enhanced_wsc_paraphrase_generation
|
zs_opt
|
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] |
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".
Ex Input:
Tweet: wii active kicks ass...literally haha ugh unto the 7 day work stretch i love working my summer away Question: is it a positive tweet?
Ex Output:
yes
Ex Input:
Tweet: @EvilNanny @Bathbad top of the morning both was beginning to think I was alone work what a distraction Question: is it a positive tweet?
Ex Output:
no
Ex Input:
Tweet: @DebIFF Hey Deb! Miss your tweets!! Question: is it a negative tweet?
Ex Output:
|
no
| 1
|
NIv2
|
task196_sentiment140_answer_generation
|
fs_opt
|
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] |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Example Input: الآن ، كيف يتم تقييم فصل به 100 ألف طالب إذا لم يكن لديك 10 ألف مساعد تدريس ؟
Example Output: Now, how do you grade the work of 100,000 students if you do not have 10,000 TAs?
Example Input: و نحن مجرد.. انت تعلم, لم يكن هناك حقا أناسا يعملون على ذلك من قبل, فأردنا أن نحثهم على المحاولة.. كل العقول العظيمة على وجه الأرض يفكرون في الموضوع, و أيضا لسحب غاز الميثان أيضا إلى خارج الغلاف الجوي.
Example Output: And we just — you know, there weren't really people working on that before, so we wanted people to try to — all the best brains in the world to start thinking about that, and also to try to extract the methane out of the Earth's atmosphere as well.
Example Input: ويطلبون منا إستخدامها فقط ضد الكفار.
Example Output:
|
They ask us to use them only against the infidels.
| 3
|
NIv2
|
task1230_ted_translation_ar_en
|
fs_opt
|
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] |
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Let me give you an example: Mixed precision training (MPT) is becoming a practical technique to improve the speed and energy efficiency of training deep neural networks by leveraging the fast hardware support for IEEE half-precision floating point that is available in existing GPUs. MPT is typically used in combination with a technique called loss scaling, that works by scaling up the loss value up before the start of backpropagation in order to minimize the impact of numerical underflow on training. Unfortunately, existing methods make this loss scale value a hyperparameter that needs to be tuned per-model, and a single scale cannot be adapted to different layers at different training stages. We introduce a loss scaling-based training method called adaptive loss scaling that makes MPT easier and more practical to use, by removing the need to tune a model-specific loss scale hyperparameter. We achieve this by introducing layer-wise loss scale values which are automatically computed during training to deal with underflow more effectively than existing methods. We present experimental results on a variety of networks and tasks that show our approach can shorten the time to convergence and improve accuracy, compared with using the existing state-of-the-art MPT and single-precision floating point.
The answer to this example can be: We devise adaptive loss scaling to improve mixed precision training that surpass the state-of-the-art results.
Here is why: The abstract focusses on designing an adaptive loss scaling method, hence the generated output is correct.
OK. solve this:
Voice Conversion (VC) is a task of converting perceived speaker identity from a source speaker to a particular target speaker. Earlier approaches in the literature primarily find a mapping between the given source-target speaker-pairs. Developing mapping techniques for many-to-many VC using non-parallel data, including zero-shot learning remains less explored areas in VC. Most of the many-to-many VC architectures require training data from all the target speakers for whom we want to convert the voices. In this paper, we propose a novel style transfer architecture, which can also be extended to generate voices even for target speakers whose data were not used in the training (i.e., case of zero-shot learning). In particular, propose Adaptive Generative Adversarial Network (AdaGAN), new architectural training procedure help in learning normalized speaker-independent latent representation, which will be used to generate speech with different speaking styles in the context of VC. We compare our results with the state-of-the-art StarGAN-VC architecture. In particular, the AdaGAN achieves 31.73%, and 10.37% relative improvement compared to the StarGAN in MOS tests for speech quality and speaker similarity, respectively. The key strength of the proposed architectures is that it yields these results with less computational complexity. AdaGAN is 88.6% less complex than StarGAN-VC in terms of FLoating Operation Per Second (FLOPS), and 85.46% less complex in terms of trainable parameters.
Answer:
|
Novel adaptive instance normalization based GAN framework for non parallel many-to-many and zero-shot VC.
| 8
|
NIv2
|
task668_extreme_abstract_summarization
|
fs_opt
|
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] |
Part 1. Definition
In this task, you need to count the number of nouns/verbs in the given sentence.
Part 2. Example
Sentence: 'A small toy kept on tray held by a man'. Count the number of nouns in this sentence.
Answer: 3
Explanation: The words 'toy', 'tray', and 'man' are nouns in this sentence. So, the answer is 3.
Part 3. Exercise
Sentence: 'a couple of trucks next to a green building'. Count the number of nouns in this sentence.
Answer:
|
3
| 7
|
NIv2
|
task155_count_nouns_verbs
|
fs_opt
|
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Teacher: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Teacher: Now, understand the problem? If you are still confused, see the following example:
For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually funny! Maureen Stapleton is a scene stealer. The Moroni character is an absolute scream. Watch for Alan The Skipper Hale jr. as a police Sgt.
Solution: positive
Reason: There is an expression of appreciation in this movie review, hence we can say it's positive.
Now, solve this instance: Warning: Spoilers Galore!Tim Burton remaking this sui generis movie is about as sensible as remaking Psycho - oh, that's right, some idiot already did that - I rest my case.Movie opens with chimpnaut blundering a simulation, proving he's not that smart from the outset. Marky Mark appears in shot without his characteristic underpants showing, then is turned down by a plain woman who prefers the touch of chimpanzees.The perfunctory establishing shot of the space station orbiting Saturn for no apparent reason, interior of ship a-bustle with genetic experiments on apes. Must we travel 1,300 million kilometers to Saturn to conduct these experiments? The special effects team decrees it.Marky's chimp gets lost in that staple of 60s sci-fi cinema - the Time Warp. Marky then demonstrates the space station's mind-boggling security ineptness by stealing a pod without anyone noticing, while simultaneously demonstrating his abject stupidity in mounting a deep-space rescue mission into a worm-hole for an expendable test chimp, with a million dollar vehicle with limited fuel and oxygen supplies.Before anyone can say `Pointless Remake' Marky has surfed the worm-hole, crashed on an alien planet, removed his helmet without any thought to the lethality of the atmosphere and is being chased through a sound stage that almost resembles a lush rainforest, if it weren't for the kliegs backlighting the plastic trees.Surprise! It's APES doing the chasing - or at least, it *would* have been a surprise if no one saw Planet Of The Apes THIRTY-THREE YEARS AGO.Since Marky Mark did not get to show his pecs, take down his pants, or bust his lame whiteboy rap, he was characterless. Michael Clarke Duncan's gorilla teeth being inserted crookedly helped immensely in establishing *his* lack of character. Helena Bonham-Carter (aka irritating chimp activist), at a loss without a Shakespearean script, did a fine job of outdoing both Marky and Clarke as Most Cardboard Cutout. Paul Giamatti, the orangutan slave trader, secured the role of token comic relief and interspecies klutz. Though I have grown bilious in hearing puns relating to this movie, one review headline captured the essence of this Planet Of The Apes `re-imagining': `The Apes Of Roth'. While everyone else minced about looking like extras from One Million Years BC or Greystoke, Tim Roth, as Chimpanzee Thade, chews massive amounts of scenery and hurls kaka splendiferously. As entertaining as his portrayal of the psychotic Thade was, his character lacked a behavioral arc: Thade is mad when we first meet him... and he's pretty much at the same level of mad at film's end. Nice twist.The original POTA (1968) featured a leading character, Charlton Heston's Taylor, who was so disenchanted with mankind that he left earth for space with no regrets - yet as that film progressed, Taylor unwittingly found himself locked in a battle to prove mankind's worth - as their sole champion! The original film was ultimately a tale of humiliation, not salvation: when Taylor discovers the Statue of Liberty, he is forced to realize that his species had NOT prevailed. Is there anything that cerebral or ironic to Marky Mark's Leo? Or Roth's Thade? No, but there's lots of running.The slogans cry: Take Back The Planet .but it's the APES' planet. In this movie, humans and apes crash-landed here together, the humans having degenerated to cavepeople, allowing the apes to acquire speech and sensual body armor; the apes DESERVED to inherit the planet! Along comes Marky Mark, in true anthropocentric arrogance, taking it for granted that humans HAVE to be the apex predators, simply because they're there. `Taking it back' is as ludicrous as apes landing here in 2001, complaining, `A planet where men evolved from APES??!!' and then causing trouble with their overacting and hairy anuses.Heston was cast in the 1968 POTA because he had established his reputation as a maverick: he WAS Ben-Hur, Michelangelo, Moses! To cast him as the mute, dogged animal in an alien society was to stupefy an audience's expectations: how crazed must a world be where Our Man Charlton cannot command respect? Marky Mark has currently only established that he has tight underpants.Though Heston was denigrated constantly by the ape council, he dominated the screen with his charisma and stupendous overacting. When Marky Mark tries to instill fervor in the mongoloid humans, it's like that unpopular guy in school suddenly being made classroom monitor, who tells you to stop drawing penises on the blackboard and you throw a shoe at him. Burton tries to elevate Marky to humanity's icon, but he comes off as a chittering deviant. In the original film, the apes deem Taylor a deviant, yet he was, to audience and apes alike, an icon of humanity. That irony again.It was apt that a man who elevated scene-chewing to an acting technique - Heston - should play the father of this film's primo scene-chewer, Thaddeus Roth. As Roth's ape-dad, Charlton utters his own immortal lines, turned against the HUMANS this time, `Damn them! Damn them all to hell!'The movie gets dumb and dumber towards the end. While Thaddeus is giving Marky an ass-beating lesson, a pod descends from on high with Marky's chimpnaut in it. Apes demonstrate their hebetude by bowing in obeisance to this incognizant creature, while Marky proves his own hebetude by muttering, `Let's teach these monkeys about evolution.' Firstly, they're not monkeys, you ape! Secondly, it was genetic tampering and imbecilic plot fabrications which brought the apes to this point, not evolution. And what you intend to teach them by blowing them away with the concealed lasergun is called misanthropy, not evolution.Giving away the twist ending would only confuse viewers into believing that Estella Warren's half-nekkid role was actually integral to the plot (be still my pants.).No matter that he was humankind's last underpanted hope; in the end, cop apes take Marky away to Plot Point Prison where he was last heard ululating, `It's a madhouse! A MADHOUSE!!...'
Student:
|
negative
| 2
|
NIv2
|
task284_imdb_classification
|
fs_opt
|
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] |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
what kind of film is Best Seller?
Solution: crime
Reason: The answer is correct because crime genre movie is among best seller.
Now, solve this instance: what was the release year of the film Cluny Brown?
Student:
|
1946
| 2
|
NIv2
|
task615_moviesqa_answer_generation
|
fs_opt
|
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] |
Given the task definition, example input & output, solve the new input case.
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Example: Sentence1: While it was being called mandatory , Dupont said authorities were not forcing people from their homes ., Sentence2: It was called mandatory , but Dupont said authorities did not force people to leave .
Output: Yes
These sentences have the meaning. So, the output should be "Yes".
New input case for you: Sentence1: Security lights have also been installed and police have swept the grounds for booby traps ., Sentence2: Security lights have also been installed on a barn near the front gate .
Output:
|
No
| 1
|
NIv2
|
task1288_glue_mrpc_paraphrasing
|
fs_opt
|
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] |
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Q: English: But these regions need to take real account of positive and negative experiences in other tourist sectors.
Spanish:Que la Comisión, cuyo tropismo estadounidense por una vez no ha entrado en juego, cuando habría sido beneficioso, defina cuanto antes un marco general de seguridad marítima.
A: No
****
Q: English: The European Commission must therefore publicise the damage caused and its assessment of this damage. It must also indicate all the specific measures, including political, economic, social and financial measures, which it intends to adopt in order to minimise the damage and compensate the fishermen and industries which have been dramatically affected overnight.
Spanish:No es así, y no es ésa la intención.
A: No
****
Q: English: Mr President, it is universally recognised that rules must be observed.
Spanish:- (EN) El nuevo reglamento dispone que la Comisión presente un informe anual al Consejo y al Parlamento sobre sus actividades del año anterior para el 30 de abril del año siguiente.
A:
|
No
****
| 4
|
NIv2
|
task532_europarl_en-es_classification
|
fs_opt
|
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] |
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of logical operators:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
One example: Command: eq { hop { nth_argmax { all_rows ; attendance ; 3 } ; competition } ; danish superliga 2005 - 06 }, interpretation: select the row whose attendance record of all rows is 3rd maximum. the competition record of this row is danish superliga 2005-06.
Solution is here: yes
Explanation: Here, the command and interpretion given for the command is correct that 3rd maximum should be selected from given table rows. Hence, the label is 'yes'.
Now, solve this: Command: eq { hop { nth_argmax { all_rows ; attendance ; 1 } ; date } ; january 19 }, interpretation: select the rows whose school ( ihsaa id ) record fuzzily matches to knox community . take the enrollment record of this row . select the rows whose school ( ihsaa id ) record fuzzily matches to culver community . take the enrollment record of this row . the first record is greater than the second record .
Solution:
|
no
| 6
|
NIv2
|
task211_logic2text_classification
|
fs_opt
|
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] |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Ex Input:
I primi sei filoni: intelligenza artificiale, tecnologie avanzate di informatica, biotecnologie e nanotecnologie sono i diversi ambiti chiave dell ’ innovazione tecnologica.
Ex Output:
Las seis primeras líneas son: inteligencia artificial tecnologías avanzadas de computación, biotecnología, nanotecnología que son las distintas áreas básicas de la tecnología de información.
Ex Input:
Beh, ti dicono, scrivi quello che conosci.
Ex Output:
Bueno, dicen, escribe lo que sabes.
Ex Input:
C'é questa.
Ex Output:
|
Esta eso.
| 1
|
NIv2
|
task1249_ted_translation_it_es
|
fs_opt
|
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] |
Instructions: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" and "stern") which express contrasting attributes about the two persons. The answer to the first and the second sentence must be PersonX and PersonY, respectively. PersonX and PersonY should not be equally likely to fill the blank. 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 the names of real people (e.g., Donald Trump, Putin, etc.) in your sentences. 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 PersonX and PersonY have the same gender. In each sentence, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
Input: Context Word: capacitor.
Output:
|
Sentence 1: A capacitor was built by PersonX, and PersonY couldn't get one to work, because _ is a scientist.
Sentence 2: A capacitor was built by PersonX, and PersonY couldn't get one to work, because _ is an amateur.
| 3
|
NIv2
|
task030_winogrande_full_person
|
zs_opt
|
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] |
Teacher:In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'a father and daughter playing a game of frisbee in a park'. Is 'playing' the longest word in the sentence?
Student:
|
No
| 6
|
NIv2
|
task114_is_the_given_word_longest
|
zs_opt
|
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] |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given 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.
A mosquito stings me
I sting a mosquito
Solution: second
Why? The second statement doesn't make sense.
New input: He parked the car on the roof
He parked the car on the parking lot
Solution:
|
first
| 0
|
NIv2
|
task291_semeval_2020_task4_commonsense_validation
|
fs_opt
|
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] |
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].
One example: 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 is here: China
Explanation: This is a good example. Based on the passage, any cubs will return to China at the age of two
Now, solve this: After previously admitting that he'd misjudged the arc in his career by turning down a move to join Juventus, instead moving to the MLS with New York Red Bulls, Rafael Marquez's career is back on track. After a solid season with Serie A side Verona, whom he joined last August, the 36-year-old is now hoping he can lead Mexico to Copa America glory in Chile this month. Mexico's first game of the tournament is against Bolivia on June 12 at the Estadio Sausalito in Vina del Mar on central Chile's Pacific coast. Marquez played thirty times for the Mastini this season, helping the side to 13th position, assisting Luca Toni as the 38-year-old striker scored 22 goals in 38 league games to become the joint top scorer in the league with Inter Milan's Mauro Icardi.Mexico partook in a training session at the La Pintana stadium on the outskirts of Santiago, ChileRafael Marquez is coming into the tournament off the back of a solid year in Italy's Serie A with VeronaThe former Barcelona stalwart will be hoping his experience can help Miguel Herrera's men lift the trophyThe tournament begins on June 11 with the hosts taking on Ecuador
Question:Marquez became the first player to captain a team in four World Cups when he played in Mexico's opening match last year against Cameroon, and with the _ potentially being the last major competition that he partakes in, he'll be desperate to go out with a bang.
Solution:
|
Copa America
| 6
|
NIv2
|
task339_record_answer_generation
|
fs_opt
|
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] |
Teacher:Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Teacher: Now, understand the problem? Solve this instance: Topic: Libertarianism
Argument: Free market economics fosters capitalist authoritarianism; undermines rights.
Student:
|
against
| 6
|
NIv2
|
task209_stancedetection_classification
|
zs_opt
|
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] |
Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/GCD/LCM, finding probabilities etc. Each question has only one correct answer. This answer can be a positive or negative integer, a fraction or a decimal number. If the answer is a negative number use the hyphen (e.g. -42) symbol for the minus sign. For decimal numbers, do not add extra zeros after the decimal point. For fractional numbers, separate the numerator and denominator using a forward slash (e.g. 3/25).
[EX Q]: Suppose 2*s - 2*z = 18, -4 = -2*s - z - 1. Suppose -v + 9 + 6 = -s*o, 17 = 3*v + 2*o. What is the units digit of v?
[EX A]: 7
[EX Q]: Let y be (46/8)/((-1)/(-20)). Suppose -2*r = 3*r - y. What is the remainder when r is divided by 6?
[EX A]: 5
[EX Q]: How many millimeters are there in 1/4 of a meter?
[EX A]:
|
250
| 6
|
NIv2
|
task835_mathdataset_answer_generation
|
fs_opt
|
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] |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
esta figura mostra a esperanza de vida fronte ao Produto Interior Bruto, a riqueza dos países.
A:
|
כאן רואים את תוחלת החיים מול התוצר הלאומי הגולמי - עד כמה מדינות הן עשירות בממוצע.
| 7
|
NIv2
|
task1242_ted_translation_gl_he
|
zs_opt
|
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] |
Part 1. Definition
You are given a science question (hard-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. 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.
Part 2. Example
Which event can cause a large rock to become soil over time?
(A) decaying (B) an earthquake (C) a landslide (D) weathering
Answer: D
Explanation: Under the action of heat, cold, rain, wind, and other atmospheric factors, the rock breaks down physically into small fragments that become the parent material of the soil. Also, atmospheric factors change according to weather.
Part 3. Exercise
Members of a planning team build a model of a nearby stream and then block the stream to show how it can form a lake. Which is a limitation of the model?
(A) showing how a nearby town will avoid flooding (B) explaining how the lake will be used for recreation (C) explaining how some of the water can be used for agriculture (D) showing how the dam will affect the plants and animals in the area
Answer:
|
D
| 7
|
NIv2
|
task229_arc_answer_generation_hard
|
fs_opt
|
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] |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Let me give you an example: A ideia é muito, muito simples.
The answer to this example can be: このアイデアはとてもシンプルで
Here is why: The Portugese sentence is correctly translated into Japanese, because the meaning is preserved.
OK. solve this:
Vou referir duas soluções bastante promissoras.
Answer:
|
この問題に対する期待のできる２つの対処法をお話します
| 8
|
NIv2
|
task1275_ted_translation_pt_ja
|
fs_opt
|
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] |
Given the task definition and input, reply with output. 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)
Term: Guru, Description: A "teacher, guide, expert, or master" in Sanskrit, Question: Is Kim Kardashian a guru?, Answer:No
|
Fact1: A guru is a teacher or guide, particularly a spiritual one. Fact2: Kim Kardashian is a socialite and a model.
| 5
|
NIv2
|
task169_strategyqa_sentence_generation
|
zs_opt
|
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] |
Q: We would like you to assess the QUALITY of each of the following argument (discussing Gay Marriage) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of gay marriage. An invalid argument is a phrase that cannot be interpreted as an argument or not on the topic of gay marriage.
With sodomy laws in place, the legal response to a constitutional challenge of gay marriage would be to point out that the state is "sanctioning" a union which would require an illegal act to consummate.
A:
|
Valid
| 7
|
NIv2
|
task148_afs_argument_quality_gay_marriage
|
zs_opt
|
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] |
The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet.
One example: you are a dumb spic that can not spell spaniard
Solution is here: dumb spic
Explanation: The phrase from the tweet addresses a Spanish speaking person from the Caribbean in an offensive way.
Now, solve this: since jews have tried to exterminate white it seems only right that every single jewish girl have a nigger for her first night those who say they are jews and are not but do lie and are the synagogue of satan
Solution:
|
nigger
| 6
|
NIv2
|
task1504_hatexplain_answer_generation
|
fs_opt
|
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] |
Instructions: Given a passage in simplified Chinese, generate a reading comprehension question. The question should be unambiguous and the answer to this question should be in the passage.
Input: Passage: 叁光鱼，又称尾灯鱼是辐鳍鱼纲巨口鱼目双光鱼科的其中一种。本鱼分布于全球三大洋的深海里。包括日本、台湾、中国南海、安达曼海、阿拉伯海、东非、几内亚湾、加勒比海等海域。本鱼体细长而躯干甚短，呈黄褐色，有鳞；各鳍无色，口腔内及鳃盖呈黑色。两颌齿二列，颌齿甚短，无中翼骨齿。尾细长。背鳍小，其起点略前于臀鳍，在约在身体1/4处。臀鳍甚长，其长度超过体长一半以上。脂鳍缺如。眶下发光器1个、鳃盖发光器3个、鳃膜条发光器8~13个。胸腹位发光器24~30个、腹臀部发光器5~7个、臀尾部发光器35~41个、腹列发光器68~76个、侧列发光器50~56个。体长可达36公分。本鱼栖息于水深200~2000公尺之水层。无任何经济价值。
Output:
|
叁光鱼属于什么科？
| 3
|
NIv2
|
task1402_clue_question_generation
|
zs_opt
|
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Teacher:In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as 'a', 'b', 'c', or 'd'. If you think more than one option is plausible, choose the more probable option to help you answer the question.
Teacher: Now, understand the problem? Solve this instance: Question: Did the coach of the Chargers from 1992 to 1996 coach any other professional teams? Passage:Bobby Ross coached the Chargers from 1992 to 1996, and is the only coach to win awards while coaching the Chargers. In 1992, Ross won the Pro Football Weekly NFL Coach of the Year, the Maxwell Football Club NFL Coach of the Year and the UPI NFL Coach of the Year. The Pro Football Weekly NFL Coach of the Year is presented annually by various news and sports organizations to the National Football League (NFL) head coach who has done the most outstanding job of working with the talent he has at his disposal. The Maxwell Football Club NFL Coach of the Year was created in 1989 and is originally titled the Earle "Greasy" Neale Award for Professional Coach of the Year. The United Press International (UPI) NFL Coach of the Year award was first presented in 1955. Before the AFL-NFL merger, an award was also given to the most outstanding coach from the AFL. When the leagues merged in 1970, separate awards were given to the best coaches from the AFC and NFC conferences. The UPI discontinued the awards after 1996.
Links: a. National Football League Coach of the Year Award b. American Football League c. American Football League d. Bobby Ross
Student:
|
d
| 6
|
NIv2
|
task231_iirc_link_classification
|
zs_opt
|
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] |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Example: Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had been shopping for fruit to give Jon.
Example solution: Tom had gone into the store before he was seen by Jon.
Example explanation: Tom must have gone into the store to come out of it.
Problem: Sentence 1: a young child with a Band-Aid on his head sits eating at a small white table with a little girl eating off a yellow plate. Sentence 2: A girl and her injured brother are playing a game involving food.
|
Solution: A girl and another youngster are eating.
| 5
|
NIv2
|
task188_snli_neutral_to_entailment_text_modification
|
fs_opt
|
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0.05003146082162857,
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-0.2991279065608978,
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0.14396056532859802,
-0.44268161058425903,
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-0.036457374691963196,
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-1.1080058813095093,
-0.3921474814414978
] |
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A list is presented with comma separated numbers inside two brackets.
Q: [-2, -36, -46]
A: [6, 108, 138]
****
Q: [-56, 41, 89, -8, -97, -40, 73, -29, 70]
A: [168, 82, 178, 24, 291, 120, 146, 87, 140]
****
Q: [-4, 29, 90, -59, -19, -57, 62, 22]
A:
|
[12, 58, 180, 177, 57, 171, 124, 44]
****
| 4
|
NIv2
|
task374_synthetic_pos_or_neg_calculation
|
fs_opt
|
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] |
Teacher: Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Teacher: Now, understand the problem? If you are still confused, see the following example:
Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Filipino: Ang mga detalye ay ibinigay ng UK transport Secretary, na si Ruth Kelly, sa House of Commons sa ika-17:30 UTC kahapon.
Solution: Yes
Reason: The converted Filipino sentence is correctly translated from Japanese because converted sentence has the same message as the original Japanese sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
Now, solve this instance: Japanese: 彼はまた彼の娘がバスの屋根から雨漏りがしたと伝えていたと言った。
Filipino: Iniharap ngayon ng Kagawad ng Pananalapi ng New Zealand na si, Kagalang-galang Doktor Michael Cullen, sa Kapulungan ng mga Kinatawan ang badyet ng New Zealand sa 2006.
Student:
|
No
| 2
|
NIv2
|
task1120_alt_ja_fil_answer_generation
|
fs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
Translate from English to Hindi.
- 6,500.
Output:
|
- 6500 लीरा.
| 1
|
NIv2
|
task1329_open_subtitles_en_hi_translation
|
zs_opt
|
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] |
In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Let me give you an example: Context: Tracy didn't go home that evening and resisted Riley's attacks.
Answer: Find somewhere to go
The answer to this example can be: What does Tracy need to do before this?
Here is why: Tracy has to resist Riley's attack and the answer is she has to find somewhere to go so the question is what does she do before this?
OK. solve this:
Context: Robin put their finger on the doorbell. They were deciding whether or not to ring it.
Answer: make a decision
Answer:
|
What will Robin want to do next?
| 8
|
NIv2
|
task581_socialiqa_question_generation
|
fs_opt
|
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] |
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Let me give you an example: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Khamer: បណ្តាអ្នកនយោបាយនៅចក្រភពអង់គ្លេសបន្តលើកកង្វល់អំពីការបាត់បង់ ជាពិសេសព័ត៌មាន ព្រមទាំងសមត្ថភាពរដ្ឋាភិបាលក្នុងការសុវត្ថិភាពនិងប្រមូលរក្សាទិន្ន័យ។
The answer to this example can be: Yes
Here is why: The converted Khamer sentence is correctly translated from Japanese because converted sentence has the same message as the original Japanese sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
OK. solve this:
Japanese: 法王ヨハネ・パウロ2世には、ブラジルのリオグランデドスルに住むブラジル人のいとこがいる。
Khamer: ផបចន ផលទីពីរ មានបងប្អូនជីដូនជនជាតិប្រេស៊ីលម្នាក់រស់នៅក្នុងទីក្រុងរីអូ ហ្ក្រេន ដូសូ ប្រទេសប្រេស៊ីល។
Answer:
|
Yes
| 8
|
NIv2
|
task1123_alt_ja_khm_answer_generation
|
fs_opt
|
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] |
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.
Input: Head: PersonX makes friends<sep>Tail: none
Output:
|
Yes
| 2
|
NIv2
|
task1196_atomic_classification_oeffect
|
zs_opt
|
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] |
Definition: In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or anti-stereotype. You are expected to classify the passage into three classes: stereotype, anti-stereotype, and unrelated.
Input: Passage: The strong mover carried the couch to the truck.
Output:
|
Stereotype
| 2
|
NIv2
|
task279_stereoset_classification_stereotype
|
zs_opt
|
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] |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Person1: Where is Tom ?
Person2: He is in the bedroom and fallen asleep .
Person1: What ? It ’ s only 9p . m . Now . Why today he went to bed so early ?
Person2: He ran four miles and came back dead beat .
Person1: Oh , I see .
|
1
| 0
|
NIv2
|
task1534_daily_dialog_question_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, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Sentence1: 'two dogs are wearing bonnets tied to a pole', Sentence2: 'a man in a suit walking across a baseball field'. Is the frequency of the word 'a' in two sentences equal?
Output:
|
No
| 1
|
NIv2
|
task159_check_frequency_of_words_in_sentence_pair
|
zs_opt
|
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] |
Given the task definition and input, reply with output. In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Please investigate the ingredient list of the so called "healthy" alternatives. Especially if your body is already sensitive to gluten, MSG, wheat, or other things. Here is only one review of one of the ingredients in these crackers.... ------------------------------------------------------ AMMONIUM BICARBONATE Ammonia powder is ammonium bicarbonate, a leavening agent that is a precursor of today's baking powder and baking soda; it must be ground to a powder before using. It is also known as hartshorn, carbonate of ammonia or powdered baking ammonia. It is still called for in some recipes especially for cookies. It is suggested substituting an equal amount of double acting baking powder for the powdered ammonia (hartshorn) in a recipe. (Your kitchen would stink of ammonia while the cookies baked, but the cookies would not taste or smell of ammonia --------------------------------------------------------- Now doesn't that just make you want to gobble up these crackers,..NOT. Most of the product comes from China....another caution. It is preferred by some food processors because it is CHEAP....so how expensive is common baking soda &bakin g powder?
|
1
| 5
|
NIv2
|
task588_amazonfood_rating_classification
|
zs_opt
|
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] |
Teacher: In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Teacher: Now, understand the problem? If you are still confused, see the following example:
I declare resumed the session of the European Parliament adjourned on Friday 17 December 1999, and I would like once again to wish you a happy new year in the hope that you enjoyed a pleasant festive period.
Solution: Declaro reanudado el período de sesiones del Parlamento Europeo, interrumpido el viernes 17 de diciembre pasado, y reitero a Sus Señorías mi deseo de que hayan tenido unas buenas vacaciones.
Reason: This English sentence is properly translated into Spanish because the Spanish sentence also talks about resuming the session from the European parliament which was adjourned and wishing a happy new year.
Now, solve this instance: Mr President, I would very much like to thank Mrs Schroedter for the work she has done on this and to explain to colleagues that I am speaking for my colleague, Mrs Flautre, who followed this for the Committee on Employment and Social Affairs but who is unfortunately ill.
Student:
|
Señor Presidente, quisiera expresar mi profundo agradecimiento al Sr. Schroedter por su contribución a esta cuestión y por explicar a los colegas que estoy hablando en nombre de mi colega, el Sr. Flautre, que lo sucedió en la Comisión de Empleo y Asuntos Sociales pero que por desgracia está enfermo.
| 2
|
NIv2
|
task530_europarl_en_es_translation
|
fs_opt
|
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] |
Teacher: In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Teacher: Now, understand the problem? If you are still confused, see the following 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.
Solution: 5
Reason: The user really seem very satisfied with the product and gave good review worthy of 5 stars rating.
Now, solve this instance: Thanks for the egg tip, it works very well and really helps this product. Nevertheless, I ended up giving away three of the six containers because I was not thrilled with the nutritional information.
Student:
|
2
| 2
|
NIv2
|
task588_amazonfood_rating_classification
|
fs_opt
|
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] |
Detailed Instructions: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input list, and do the same for the numerical elements.
Q: ['k', '7639', 'V', 'o', 'L', '6233', '8527', 'e', 'l']
A:
|
k, V, o, L, e, l, 7639, 6233, 8527
| 9
|
NIv2
|
task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately
|
zs_opt
|
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] |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name entity, then return 'None'.
Jean Alavoine ( Fra )
Solution: Fra: B-LOC
Why? In the given sentence, Fra is identified as the location, which is correct.
New input: Ze willen hun aandelen geheel of gedeeltelijk verkopen .
Solution:
|
None
| 0
|
NIv2
|
task1546_conll2002_location_name_extraction_answer_generation
|
fs_opt
|
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] |
In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
Q: shears
A:
|
cuts hedges cleanly
| 4
|
NIv2
|
task080_piqa_answer_generation
|
zs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
In this task you are given a short story and a question regarding that story. You must answer the question based on the events of the story. Try to use the same words in the story to answer each question. You should completely answer the question in a short answer. Do not include information that is unnecessary to answer the question.
Remi was bored. So she decided to eat. She ate chocolate, candy, cookies, and milk. But she began to feel sick later. Remi was no longer bored.
Why did She eat chocolate , candy , cookies , and milk?
Output:
|
Remi was bored.
| 1
|
NIv2
|
task332_tellmewhy_answer_generation
|
zs_opt
|
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] |
TASK DEFINITION: Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common', 'cvg', 'opera', 'olympics', 'chemistry', 'visual_art', 'conferences', 'sports', 'language', 'travel', 'location', 'award', 'dining', 'martial_arts', 'comic_strips', 'computer', 'user', 'tennis', 'music', 'organization', 'food', 'event', 'transportation', 'fictional_universe', 'measurement_unit', 'meteorology', 'distilled_spirits', 'symbols', 'architecture', 'freebase', 'internet', 'fashion', 'boats', 'cricket', 'film', 'medicine', 'finance', 'comic_books', 'celebrities', 'soccer', 'games', 'time', 'geography', 'interests', 'common', 'base', 'business', 'periodicals', 'royalty', 'education', 'type', 'religion', 'automotive', 'exhibitions'.
PROBLEM: In the 2004 film biopic Beyond the Sea, Kevin Spacey plays which 1960s singer?
SOLUTION: music
PROBLEM: Who was the founder of the Flavian dynasty of Roman emperors?
SOLUTION: user
PROBLEM: Wouldn't it be nice, God only knows and Sloop John B were songs from which 1966 album?
SOLUTION:
|
music
| 8
|
NIv2
|
task900_freebase_qa_category_classification
|
fs_opt
|
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] |
Detailed Instructions: A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: ఆయన తీసుకొన్న చొరవ తో అగర్తలా లో ఒక విమానాశ్రయాన్ని నిర్మించడం జరిగింది
Solution: ஒரு விமான நிலையம் அகர்தலாவில் அவரது முன்முயற்சியுடன் கட்டப்பட்டது
Explanation: Correct translation for given sentence. Input sentence means 'A airport was built in Agartala with his taken initiative' which is the same as the output sentence.
Problem: ఇది ప్రపంచంలోనే ప్రభుత్వ నిధులతో నడిచే అతి పెద్ద ఆరోగ్య సంరక్షణ కార్యక్రమం కాబోతోంది.
Solution:
|
இது உலகிலேயே மிகப் பெரிய அளவில் அரசு நிதியிலான சுகாதாரத் திட்டமாகும்.
| 4
|
NIv2
|
task1076_pib_translation_telugu_tamil
|
fs_opt
|
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] |
In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Q: Passage: As Small Heath, they played in the Football Alliance before becoming founder members and first champions of the Football League Second Division. The most successful period in their history was in the 1950s and early 1960s. They achieved their highest finishing position of sixth in the First Division in the 1955–56 season and reached the 1956 FA Cup Final. Birmingham played in two Inter-Cities Fairs Cup finals, in 1960, as the first English club side to reach a major European final, and again the following year. They won the League Cup in 1963 and again in 2011. Birmingham have played in the top tier of English football for around half of their history: the longest period spent outside the top division, between 1986 and 2002, included two brief spells in the third tier of English football, during which time they won the Football League Trophy twice.
Link Information: he showpiece event was contested between Manchester City and Birmingham City Question: Who did Birmingham City FC play in their first FA Cup Final?
A: Answer: Manchester City
****
Q: Passage: Wasson was born Isabel Deming Bassett in Brooklyn, NY on January 11, 1897, daughter of urban planner Edward Bassett and Annie Preston Bassett, and sister of inventor and engineer Preston Bassett. Wasson graduated Phi Beta Kappa from Wellesley College in 1918, majoring in history so she could take a wide range of science courses. She took classes in geology after graduation at the University of Chicago and the Massachusetts Institute of Technology. She met her future husband, petroleum geologist Theron Wasson, whom she married in 1920, while working towards a master's degree in geology at Columbia University, which she finished in 1934. They had three children: Elizabeth W. Bergstrom, a biologist; Edward B. Wasson, a petroleum geologist; and Anne Harney Gallagher, an art historian. Wasson worked as a petroleum geologist in her husband's office at the Pure Oil Company from the early 1920s until 1928. She published two scholarly articles on geology, one co-authored with her husband about an oil field discovered by Pure Oil in 1914, and another by herself about the ages of rock formations in Ohio and new terminology for them; the latter was cited in a number of other papers and a recent book. After 1928 she spent over 50 years in River Forest, IL, teaching science in the local public schools, lecturing, bird watching (ornithology), and mentoring generations of young naturalists. She was quoted in this 1986 Chicago Tribune article as an expert on local geology at age 89. She was honored for her contributions to local history in 1982 when the Wasson Room was named after her in a local school to hold local history resources. Her interests included archaeology; she discovered a Native American religious mound in Thatcher Woods, near her house in River Forest, in the 1930s. An article about her discovery called her "the one who started the environmental education movement in America back in the 1920s and '30s." Theron and Isabel divorced in 1953 and she did not remarry. From 1953-1954, Wasson served as President of the Chicago Ornithological Society. Wasson also taught classes at the Morton Arboretum in Lisle, Illinois. She died in La Grange Park, IL, in 1994.
Link Information: Theron Rhodes Wasson (1887-1970) Question: At what age did Theron Wasson marry Isabel Wasson?
A: Answer: 33
****
Q: Passage: The 1995–96 NBA season was the 76ers 47th season in the National Basketball Association, and 33rd season in Philadelphia. During the offseason, the Sixers signed free agent Vernon Maxwell, then later on signed second-year guard Trevor Ruffin in December. Top draft pick Jerry Stackhouse and Clarence Weatherspoon both provided a nice young nucleus from which to build. However, finding talent to surround them was often difficult, as the Sixers suffered an 11-game losing streak after a 2–2 start. Early into the season, Shawn Bradley was traded to the New Jersey Nets for Derrick Coleman, who only played in just eleven games due to an irregular heartbeat. At midseason, second-year forward Sharone Wright was dealt to the expansion Toronto Raptors as Jeff Malone was released to free agency. The Sixers had their worst season since the infamous 73-loss 1972–73 season, finishing last place in the Atlantic Division with an 18–64 record.
Link Information: He played four NBA seasons with the 76ers and Toronto Raptors Question: How long did the player who was traded mid-season to the Toronto Raptors play for 76ers?
A:
|
Answer: 2
****
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task238_iirc_answer_from_passage_answer_generation
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] |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
Example Input: I_TURN_LEFT I_LOOK I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN
Example Output: run left thrice after look left
Example Input: I_WALK I_WALK I_TURN_LEFT I_RUN
Example Output: run left after walk twice
Example Input: I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP
Example Output:
|
jump around right after look opposite left
| 3
|
NIv2
|
task129_scan_long_text_generation_action_command_short
|
fs_opt
|
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] |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Q: ['n', '9993', '5577', '541', '1693', 'Z', '7499', 'W', 'v', '2287', '9805', 'Z', 'P', 'w', 'g', '5239', 'G']
A:
|
9993, 5577, 541, 1693, 7499, 2287, 9805, 5239
| 4
|
NIv2
|
task497_extract_all_numbers_from_list_in_order
|
zs_opt
|
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] |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_WALK I_WALK I_WALK
|
jump right twice and walk thrice
| 0
|
NIv2
|
task127_scan_long_text_generation_action_command_all
|
zs_opt
|
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] |
Given the task definition and input, reply with output. In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
This drink is ok. A little pricier with several more calories and carbs than I would like, but it is a good alternative to soda. I am glad there's no artificial sweetener in it. It's sweet enough without it. I like the Crayons drinks better, but cannot find them anymore. I also like the flavor of the R.W. Knudsen Spritzers a little more.
|
3
| 5
|
NIv2
|
task588_amazonfood_rating_classification
|
zs_opt
|
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] |
Q: 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.
what movies can be described with alan moore?
A:
|
V for Vendetta, Watchmen, Constantine, The League of Extraordinary Gentlemen, From Hell, The Mindscape of Alan Moore
| 7
|
NIv2
|
task615_moviesqa_answer_generation
|
zs_opt
|
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] |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Se quiséssemos contar cada produto e serviço disponível em Nova Iorque — existem 10 mil milhões — levaríamos 317 anos.
اگر بخواهید همه محصولات و خدمات ارایه شده در نیویورک را بشمارید — چیزی حدود ۱۰ میلیارد — تقریباً ۳۱۷ سال طول می کشد.
Existe uma pesquisa de John Gootman sobre terapia matrimonial.
پژوهشی از جان گاتمن هست درباره ازدواج درمانی.
Não conhecia uma única pessoa.
|
من حتی یک نفرو هم نمیشتاختم.
| 0
|
NIv2
|
task1282_ted_translation_pt_fa
|
fs_opt
|
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] |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Let me give you an example: Mas o que são direitos humanos?
The answer to this example can be: ولكن ماهي حقوق الإنسان ؟
Here is why: The Portugese sentence is correctly translated into Arabic, because the meaning is preserved.
OK. solve this:
VM: Acho que foi há quatro anos. Quatro anos, na minha primeira viagem.
Answer:
|
فينسنت: أعتقد قبل أربعة سنين ، أربعة سنين منذ رحلتي الأولى.
| 8
|
NIv2
|
task1277_ted_translation_pt_ar
|
fs_opt
|
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] |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
Example: A herd of sheep standing together grazing in a pasture.
Output: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે.
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.
New input case for you: An open-shutter picture of cars going up and down a city street at night.
Output:
|
રાત્રે એક શહેરની શેરીમાં ઉપર અને નીચે કારની ખુલ્લી શટરની ચિત્ર.
| 1
|
NIv2
|
task438_eng_guj_parallel_corpus_en_gu_translation
|
fs_opt
|
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] |
In this task, you will be given a sentence in the Indonesian language(Bahasa variant). Your job is to convert it into the English language.
Q: Apa yang benar-benar menjadi perhatian kami adalah penerapan segera dari resolusi tersebut dalam kehidupan nyata.
A:
|
What really concerns us the most is the immediate applicability of the resolution on ground.
| 4
|
NIv2
|
task543_alt_translation_bh_en
|
zs_opt
|
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] |
You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating question.
One example is below.
Q: Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the founders of the modern Cuban Guitar School.
Subject : Isaac Nicola
Relation : place of birth
A: What was Isaac Nicola's city of birth?
Rationale: Here the question is generated on Isaac Nicola Romero who is the subject and the relation of question to the context is about the place of birth of Isaac Nicola Romero. Hence generated question is correct
Q: Context : Decameron Nights is a 1953 anthology Technicolor film based on three tales from The Decameron by Giovanni Boccaccio, specifically the ninth and tenth tales of the second day and the ninth tale of the third.
Subject : Decameron Nights
Relation : based on
A:
|
Which is the basis of Decameron Nights?
| 9
|
NIv2
|
task1325_qa_zre_question_generation_on_subject_relation
|
fs_opt
|
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] |
Given the task definition and input, reply with output. In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
['f', '2899', '8749', '9107', 'U', '7921', '7991', '1951', 'y', '6423', '8845', 'l', '1339', 'A', '9845']
|
2, 3, 4, 6, 7, 8, 10, 11, 13, 15
| 5
|
NIv2
|
task507_position_of_all_numerical_elements_in_list
|
zs_opt
|
[
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] |
Teacher: Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Spr Ithan sariyana valli
Solution: Hope Speech
Reason: The given text contains content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion and is in expected language - tamil
Now, solve this instance: MG MG MG MG MG MG MG MG MG MGnMG MG. MG MGnMG MG 7
Student:
|
Not in Expected Language
| 2
|
NIv2
|
task680_hope_edi_tamil_text_classification
|
fs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
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'.
Tim is the CEO of a Fortune 500 company while Sam is a small business owner, so Tim needs more support during an economic crisis.
Output:
|
False
| 1
|
NIv2
|
task116_com2sense_commonsense_reasoning
|
zs_opt
|
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] |
Teacher:Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Teacher: Now, understand the problem? Solve this instance: When did the formation of the Peel Boundary Fault oh sorry, the Holocene Rhine-Meuse delta begin?
Student:
|
When did the formation of the Holocene Rhine-Meuse delta begin?
| 6
|
NIv2
|
task1195_disflqa_disfluent_to_fluent_conversion
|
zs_opt
|
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0.31415361166000366
] |
Definition: In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.
Input: Harry went into the forest to gather firewood. He found a log that was dry and big enough. Harry tied some rope to the log. He dragged the log out of the forest and to his car. Harry loaded the log in his car and drove off.
Why did He find a log that was dry and big enough?
Output:
|
Answerable
| 2
|
NIv2
|
task290_tellmewhy_question_answerability
|
zs_opt
|
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] |
In this task, you will be given a movie review and a question about the reviewer's sentiment toward one aspect of the movie in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it is hard to detect the primary sentiment. Also, assign neutral label to reviews that express no clear sentiment toward an entity or any aspect of it. The "no sentiment expressed" label should be assigned to the reviews where the given aspect didn't discuss in the text.
Q: فیلم متری شش و نیم سعید روستایی یه سر و گردن بالاتر از سینمای روز ایران هست،چه کارگردانی و بازی،چه نحوه ی پردازش به موضوع،چه سعی در اینکه یکی قهرمان نشه یکی بد ماجرا،چه نوع فیلمبرداری و بازی گرفتن از سیاه لشکر.ارزش دیدن و حمایت کردن داره،ببینید.<sep>Question: نظر شما در مورد شخصیت پردازی، بازیگردانی و بازی بازیگران فیلم متری شیش و نیم چیست؟
A:
|
positive
| 4
|
NIv2
|
task525_parsinlu_movie_aspect_classification
|
zs_opt
|
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] |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Zjawiają się nieoczekiwanie i często nagle się zmieniają.
|
Son bastante repentinas e cambian de súpeto.
| 0
|
NIv2
|
task1261_ted_translation_pl_gl
|
zs_opt
|
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] |
Teacher:In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? Solve this instance: डच रक्षा मंत्रालय ने कहा, "हम मानते हैं कि यह एक दुर्घटना थी।"
Student:
|
"We therefore assume it was an accident," said the Dutch Defense Ministry.
| 6
|
NIv2
|
task433_alt_hi_en_translation
|
zs_opt
|
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] |
Detailed Instructions: Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence long.
Problem:The two-time Oscar-winner was able to overcome her insecurity with a strong support base of friends, therapy sessions and by writing a memoir. But she knows others aren’t as fortunate as her, particularly teenagers trying to find themselves while avoiding life’s pitfalls. To help, Fonda started the Georgia Campaign for Adolescent Power & Potential, which has sought to prevent teen pregnancy and improve adolescent health. Fonda founded GCAPP in 1995, when Georgia had one of the highest teen birth and pregnancy rates in the country. Since then, the state saw a 66 percent decrease in the birth rate for teens between the ages of 15 to 19, according to state data. “Teen pregnancy is a factor of poverty and hopelessness,” said Fonda, also known as a political activist. “We have to give kids hope, so they won’t engage in risky behavior.” Fonda’s foundation will hold a fundraiser to help her cause. An 80th birthday celebration called “Eight Decades of Jane” will be held on Saturday with hopes of raising at least $1 million for her nonprofit organization. Singer-songwriters James Taylor and Carole King will perform. Guests expected to attend include CNN founder and ex-husband Ted Turner, Sally Field, Rosie O’Donnell, Diane Lane and Troy Garity, who is Fonda’s son. In a recent interview, Fonda, who stars in the Netflix show “Grace and Frankie,” spoke with The Associated Press about the reason she founded GCAPP, how she continues to grow as an actor and the continuous sexual harassment claims in Hollywood. ____ AP: What made you want to focus on teen pregnancy prevention? Fonda: In 1994, I was traveling around Georgia and taken to a maternity ward in Albany, where I saw a 14-year-old girl who was pregnant. There was nothing much I could do for her. ... I knew that there was a 90 percent chance she was sexual abused at her age. I learned she lived in a tarpaper shack with no windows or plumbing. ... I didn’t say anything to her. I just kissed her forehead and left. I cried. AP: What are the misconceptions about teen pregnancy? Fonda: Middle-class kids don’t get pregnant in large numbers, because they see a future compromised if that happens to them. It has nothing to do with race. White kids who live in poor areas of the country have high rates of teen pregnancy, and so does every other race and ethnicity. It’s a factor of poverty, not race. AP: The fundraiser will also recognize your life achievements. How do you continue to grow as an actress? Fonda: Stay curious. Pay attention. Do the work. Get deep. ... You have to do in the work. There aren’t any shortcuts. AP: You’ve been around Hollywood for decades. Why do you think women are stepping forward now and making sexual harassment claims? Fonda: The reason it’s happening now is because of who our president is. He’s a perpetrator (President Donald Trump has been accused of sexual misconduct but has denied the allegations). Many women are horrified that a man like that has been elected into office. He’s triggered a lot of memories in many women who have been victims. I think that it was white famous actresses who stepped forward and kind of opened the floodgates, and now people are realizing how much of an epidemic it is. Now, they’re doing something about it. AP: How do you feel about those who have made claims in the past, but went unheard? Fonda: African-American women ... including Ida B. Wells and Anita Hill, have spoken out about this and demanded gender equality before white women did. We have to be grateful for the women who have come before us. Sexual harassment and assault is even more rife among restaurant, farm and office workers. Women don’t have any power to speak out without losing their jobs. We are now reaching out in solidarity. AP: What do you want to see changed? Fonda: Where there is equality, and more egalitarian power distribution, sexual abuse is reduced. A lot of what we have to do is not just think about sexual abuse, but also have women in power across industries in decision-making power. Then you’ll see the number of sexual harassment cases drop. ___ Online: www.gcapp.org www.gcapp.org/celebratingjane ___ Follow Jonathan Landrum Jr. on Twitter at www.twitter.com/MrLandrum31 . His work can be found at https://apnews.com/search/jonathan%20landrum
Solution:
|
Jane Fonda uses 80th birthday to help others with fundraiser.
| 8
|
NIv2
|
task1368_healthfact_sentence_generation
|
zs_opt
|
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] |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Arabic.
See one example below:
Problem: (Applause) However there is a political battle in our country.
Solution: (تصفيق) ومع ذلك هناك معارك سياسية في بلدنا.
Explanation: The English sentence is correctly translated into Arabic, because the meaning is preserved.
Problem: Here is my father at age 19.
Solution:
|
هذا والدي في ال19 من عمره
| 4
|
NIv2
|
task1220_ted_translation_en_ar
|
fs_opt
|
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] |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input list, and do the same for the numerical elements.
Q: ['C', '9811']
A: C, 9811
****
Q: ['155', 'a', 'N', 'F', 's', 'E', '1105', 'i', 'o', '5485', 'T', '9365', '1113', 'Z', 'x', 'B', '2513']
A: a, N, F, s, E, i, o, T, Z, x, B, 155, 1105, 5485, 9365, 1113, 2513
****
Q: ['g', 'B', 'e', 'w', '9009', 'F']
A:
|
g, B, e, w, F, 9009
****
| 4
|
NIv2
|
task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately
|
fs_opt
|
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] |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head can be 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.
Q: Head: PersonX arranges a date<sep>Tail: thorough
A:
|
No
| 9
|
NIv2
|
task1204_atomic_classification_hinderedby
|
zs_opt
|
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] |
Teacher:You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: Era a primeira vez que fazíamos isto.
Student:
|
これは初めての試みで誰もパソコン上での
| 6
|
NIv2
|
task1275_ted_translation_pt_ja
|
zs_opt
|
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] |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Q: Igbo sentence: M na-dị nnọọ na-ekpe ekpere maka udo na ikpe ziri ezi mmadụ.. #CrazyWorld
A:
|
I'm just praying for peace and justice man.. #CrazyWorld
| 4
|
NIv2
|
task449_opus_paracrawl_ig_en_translation
|
zs_opt
|
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] |
Given the task definition, example input & output, solve the new input case.
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and their positions in the sentence order of the story; note that the selected choices may fit into the story at any point. Your answer must be in the form of '2a, 5b', where '2a' means the candidate sentence 'a' will be inserted as the 2nd sentence in the story. The answer must also be in the order of the selected choices, i.e., '2a, 5b' is allowed, and '5b, 2a' is not allowed. If options are equally plausible, pick the ones that make more sense.
Example: Title: Marcus Buys Khakis. Marcus needed clothing for a business casual event. He decided to buy a pair of khakis. The pair he bought fit him perfectly. Choices: a. Marcus was happy to have the right clothes for the event. b. He left in a huff for having his ideas mocked. c. All of his clothes were either too formal or too casual.
Output: 5a, 2c
Marcus is buying clothes for a business event and not presenting an idea.
New input case for you: Title: He slips and falls on the floor. He breaks both of his legs. His parents take him to the hospital. Choices: a. David is dancing. b. He cries in pain. c. Larry loved his visit to london.
Output:
|
1a, 4b
| 1
|
NIv2
|
task222_rocstories_two_chioce_slotting_classification
|
fs_opt
|
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] |
In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, like: [1,2,3].
[Q]: [-44, 25, 81, 66, -22]
[A]: [-9.5, 53.0, 73.5, 22.0]
[Q]: [38, 58, 14, -58, 77, -41]
[A]: [48.0, 36.0, -22.0, 9.5, 18.0]
[Q]: [15, -100]
[A]:
|
[-42.5]
| 5
|
NIv2
|
task124_conala_pair_averages
|
fs_opt
|
[
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] |
Teacher:In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Teacher: Now, understand the problem? Solve this instance: Sentence: The sheriff asked the librarian for help as he was much more familiar with the library.
Profession: librarian
Student:
|
Identifiable
| 6
|
NIv2
|
task351_winomt_classification_gender_identifiability_anti
|
zs_opt
|
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] |
Q: 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.
Article: My nephew, Adam, turned 19 on Monday. He's a good kid and makes the whole family laugh. He wears his baseball cap backward, his shorts baggy and his T-shirts loose. In short, I hate the way he looks. To me, it seems as if everything is about to fall off at any moment. He makes me nervous. But he's still a teenager. I think that's the way he's supposed to look. Cooler than cool. I was on the Harvard campus recently and was surprised how almost everyone looked like Adam, just as they did on the Georgetown campus the week before with baggy shorts far below the knees. It's a uniform, of course, just as there was a uniform when I went to college. Fashion is a changeable thing. _ has made fools of us all over the years. In my college years, everyone wore frayed bell-bottoms, tie-dye shirts and hair to the shoulders. But I predict the "uniform" that's likely to cause the most shame for its wearers 30 years from now will be the exposed-tummy look brought to us by Britney Spears. I'll admit. Britney's exposed-mid-waist looks pretty good in those short jeans. Just a piece of skin. Firm, flat, brown. Unfortunately, the look has been picked up by young women from Malibu to Maine, young women who do not have Britney Spears' firm, flat, brown skin. As my mother has asked a thousand times: Don't these girls have mirrors?
Question: This passage is mainly about _ .
Options: (A) teenagers (B) clothing fashion (C) famous singers (D) campus life
A:
|
B
| 7
|
NIv2
|
task309_race_answer_generation
|
zs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
A miña única arma era o meu caderno e a miña Leica.
Output:
|
A minha única arma era o meu portátil e a minha Leica.
| 1
|
NIv2
|
task1246_ted_translation_gl_pt
|
zs_opt
|
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0.8277435302734375,
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] |
You will be given a definition of a task first, then some input of the task.
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Category: WINTER
Clue: Percy Bysshe Shelley wrote, "If winter comes, can" this "be far behind?"
Output:
|
spring
| 1
|
NIv2
|
task308_jeopardy_answer_generation_all
|
zs_opt
|
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] |
Given the task definition and input, reply with output. In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
However , Romuald intercepted part of the Roman army at Forino , between Avellino and Salerno , and destroyed it .
Romuald , however , destroyed and destroyed part of the Roman army at Forino , between Avellino and Salerno .
|
Not paraphrase
| 5
|
NIv2
|
task400_paws_paraphrase_classification
|
zs_opt
|
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] |
You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: मराठी भाषेच्या प्रचाराच्या दीर्घ सेवेबद्दल अॅड. दातार यांना सन्मित्रकार स.पां. जोशी स्मृती पुरस्कार देऊन ८ ऑगस्ट २००५ रोजी <MASK>चे संपादक, पत्रकार पद्मश्री कुमार केतकर यांच्या हस्ते गौरविण्यात आले होते.
Option A: जद
Option B: लोकसत्ता
Option C: पद्मश्री
Option D: जनसंघाचे
|
लोकसत्ता
| 0
|
NIv2
|
task950_wiki_cloze_mr_multiple_choice_question_answering
|
zs_opt
|
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] |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Q: (Risas) "" Compren helados para todos "".
A: (خنده) یا "" برو برای بقیه بستنی یخی بخر. ""
****
Q: Espero que eso les dé una idea de las posibilidades que hay en estos nuevos métodos de enseñanza.
A: حالا ، امیدوارم که اون کمی از حس امکانات این روش آموزش جدید را به شما داده باشه.
****
Q: Y recuerden, a veces las cosas que no esperan ser los grandes cambios, son los que son.
A:
|
و به خاطر داشته باشید ، بعضی اوقات چیزهایی که انتظارش را ندارید بزرگترین تغییرات را ایجاد کنند.
****
| 4
|
NIv2
|
task1103_ted_translation_es_fa
|
fs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
ちなみに人間とボノボだけがお互いの顔を見ながら性交しますもちろん両者が生きたままね・・・
Output:
|
Los humanos y los bonobos son los únicos animales que tienen sexo cara a cara cuando ambos están vivos.
| 1
|
NIv2
|
task1223_ted_translation_ja_es
|
zs_opt
|
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] |
Detailed Instructions: You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. 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 the names of real people (e.g., Donald Trump, Putin, etc.) in your question. Avoid repeating the same style, pattern, or phrases in each question, try to increase diversity by varying sentence structure, blank placement, etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Person X and Person Y have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
Q: Context Word: herbal.
A:
|
PersonX doesn't have as healthy of an immune system than PersonY because _ doesn't take herbal supplements daily.
| 9
|
NIv2
|
task032_winogrande_question_generation_person
|
zs_opt
|
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] |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Option 2'. The incorrect option will change the subsequent storyline, so that at least one of the three subsequent sentences is no longer consistent with the story.
Sentence 1: Rachael had tried for so long to get pregnant.
Sentence 3: She went to the doctors all the time but they told her the same thing
Sentence 4: They told her she just needed to relax and it would happen
Sentence 5: And sure enough she relaxed and now she is 6 months pregnant
Option 1: She wanted a baby so bad.
Option 2: She wanted a baby so bad and she ended up finding out she was expecting twins.
Option 1
Sentence 1: Sue and Jim had been dating for 1 year.
Sentence 3: He found the perfect ring
Sentence 4: While at dinner, he decided he would pop the question
Sentence 5: Sue said yes
Option 1: Jim was not ready to propose to Sue so held off on getting her a ring.
Option 2: Jim was ready to propose to Sue.
Option 2
Sentence 1: Dan has worn the same pair of boots for almost 20 Years.
Sentence 3: Finally his friends convince him to buy a new pair
Sentence 4: Dan buys a new pair of boots that looks the same as his old ones
Sentence 5: He hopes that his new boots also last 20 Years
Option 1: Dan had to throw the boots away.
Option 2: The boots are now completely worn out.
|
Option 2
| 0
|
NIv2
|
task065_timetravel_consistent_sentence_classification
|
fs_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.
Ex Input:
His this speech became basis of the announcement letter of Progressive Movement.
Ex Output:
उनका यही भाषण प्रगतिशील आंदोलन के घोषणा पत्र का आधार बना।
Ex Input:
In between in 1566, while returning to the city from a village called Maham Anka (present neighbourhood of Old Fort) a deadly attack on the life of Akbar with an arrow happened, which he escaped with his agility, however his hand was hurt deeply.
Ex Output:
इसी बीच १५६६ में महाम अंका नामक उसकी धाय के बनवाये मदरसे (वर्तमान पुराने किले परिसर में) से शहर लौटते हुए अकबर पर तीर से एक जानलेवा हमला हुआ जिसे अकबर ने अपनी फुर्ती से बचा लिया हालांकि उसकी बांह में गहरा घाव हुआ।
Ex Input:
Told it was madam 's desire , Shivshankar promptly rubberstamped it , little knowing that in Kerala there is no such thing as a 10 Janpath quota .
Ex Output:
|
जब शिवशंकर से कहा गया कि यह मादाम की इच्छा है तो उन्होंने उस पर मुहर लगा दी क्योंकि उन्हें नहीं मालूम था कि केरल में 10 , जनपथ के आरक्षण जैसी कोई चीज नहीं है ।
| 1
|
NIv2
|
task425_hindienglish_corpora_en_hi_translation
|
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're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the passage can be used to answer the question. Indicate your choice as `a` for Yes or `b` for No.
Question: Who was in charge of the Theatre department when they won the award for Best Musical for Pippin? Passage:Several levels of Theatre classes are available to schedule. The department usually produces two to three shows each school year. Previously, Hereford partook in the Cappies program in the Baltimore area. But left the program in the 2012-2013 season. In the past, they have won awards for Best Musical (Pippin), Best Supporting Actor in a Musical (Adam Ziegel in "Thoroughly Modern Millie (musical)"), Best Comedic Actress (Taylor Page in "Thoroughly Modern Millie (musical)"), Best Female Vocalist (Katherine Crowe in Pirates of Penzance and Julienne Gede in The Secret Garden), Best Costumes (Abby Urbanas, Steph Parks, Hannah Morgan in The Secret Garden and Kaitlin Philipp, Laura Pederson in Pippin), Lead Actress in a Musical (Nina Kauffman in Seussical) and, under the direction in past years of Lee Waters, members of the theatre program as well as the program as a whole won a number of awards at the All State Theatre Festival, held annually at Magruder High School in Montgomery County. Because of this continually evolving program, the actors have been able to perform songs on the stage at the landmark Hippodrome Theatre on Eutaw Street in downtown Baltimore. They have also won awards at the yearly trip to the Pennsylvania Renaissance Festival. Other theatre related extracurricular activities include the Improv Troupe and Drama Club.
Output:
|
b
| 1
|
NIv2
|
task233_iirc_link_exists_classification
|
zs_opt
|
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] |
In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the intended sentence. Label the instances as "ironic" or "not" based on your judgment. Note that URLs in the text have been replaced with [Link].
[EX Q]: #Legend says if you stand in front of a mirror+say "I can't even" 3 times, a girl in #yogapants will appear+give you a pumpkin spice latte.
[EX A]: not
[EX Q]: This team from Covington, KY pretty much sucks. #gosteelers
[EX A]: not
[EX Q]: @LexGrayWAVY @WAVY_News "Unity we stand" all white people.
[EX A]:
|
ironic
| 6
|
NIv2
|
task386_semeval_2018_task3_irony_detection
|
fs_opt
|
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] |
Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
--------
Question: MG ku cough ah.....
Answer: Not Hope Speech
Question: Awesome excellent great
Answer: Not in Expected Language
Question: Chinese app ah uninstall pannalam bro but kaila ulla chinese mobile ah enna panna mudium?
Answer:
|
Not Hope Speech
| 7
|
NIv2
|
task680_hope_edi_tamil_text_classification
|
fs_opt
|
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] |
In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the number of sentences in the correct order, such as '23415'.
Q: Sentence1: After looking through selections we decided on horror. Sentence2: I had a hard time falling asleep that night. Sentence3: We picked a great movie and sat down with popcorn. Sentence4: It was really scarey! Sentence5: I decided to rent a movie when friends came over last night.
A:
|
25341
| 4
|
NIv2
|
task300_storycloze_order_generation
|
zs_opt
|
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] |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Let me give you an example: This is my go to place to get the best chicken Pad Thai! Also the price is super good, considering most places have high prices and poor quality. Love this place, its definitely a top 5 fav for take out.
The answer to this example can be: POSITIVE
Here is why: The overall sentiment of the review is positive. Hence, the label is 'POSITIVE'.
OK. solve this:
This place is always so awesome to go to...The food, art, service-everything, i always feel great leaving this place. My favorite Items are probably the Red Pepper Hummus (which i add chicken to), the Chicken Shwarma, Veggie Burger and the Shrimp. Also-they have one of the best Iced Soy Chai Latte's in Town! Enjoy feeling healthy and happy while eating here-its awesome.
Answer:
|
POSITIVE
| 8
|
NIv2
|
task475_yelp_polarity_classification
|
fs_opt
|
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] |
Instructions: In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the question has to be about both objects which are related but different; for example, "trophy" and "suitcase". This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "small" to "big"). You should not change any content in the given question beyond a word or two, i.e., the trigger word/phrase. The expected answer to your question must not be associated with just the trigger word; instead, it should depend on the context present in the question. The expected answer should not be ambiguous. For your question, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. In your generated question, retain the object names from the input question. Avoid repeating the same style or phrase in generating your modified question e.g. this task can be always solved using a simple negation i.e. by adding not, never, etc. Instead, try to increase the word diversity. Your question must contain at least 15 and at most 30 words. Your question must have at least 70% overlapping words with the given question. You must utilize the given context word while writing the question. Your question must contain only one blank. The two objects should be used ONCE in your question. Here is a list of attributes and associated contrastive words that may help write contrastive trigger words. Note that contrastive trigger words help in flipping the label.
| Attribute | triggerword | contrastive triggerword |
| age | old | new |
| altitude | low | high |
| area | small | vast |
| brightness | dark | light |
| clarity | obscure | clear |
| cleanness | dirty | clean |
| complexity | simple | complex |
| cost | cheap | expensive |
| density | sparse | dense |
| depth | shallow | deep |
| distance | near | far |
| electric conductivity | low | high |
| flexibility | rigid | flexible |
| granularity | fine | coarse |
| hardness | soft | hard |
| length | short | long |
| magnitude | small | large |
| mass | small | large |
| odor | weak | strong |
| pressure | low | high |
| resistance | low | high |
| shape | round | sharp |
| shape | flat | spiky |
| size | small | large |
| sound | quiet | loud |
| sound pitch | low | high |
| speed | slow | fast |
| stability | unstable | stable |
| strength | weak | strong |
| temperature | low | high |
| texture | smooth | rough |
| thermal conductivity | low | high |
| thickness | thin | thick |
| volume | small | large |
| weight | light | heavy |
| width | narrow | wide |
| location | in | out |
| location | up | down |
| location | above | below |
| location | on | off |
| location | to | from |
Input: Context Word: addiction.
Question: His addiction made him put all the pills from his bottle into his mouth, until the _ was empty.
Answer: bottle.
Output:
|
His addiction made him put all the pills from his bottle into his mouth, until the _ was full.
| 3
|
NIv2
|
task034_winogrande_question_modification_object
|
zs_opt
|
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] |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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.
excavator, crane, hoist, upraise
Solution: construction
Why? These four words are all construction equipment, such as 'excavator', 'crane', and 'hoist', or describe a common activity used in construction, such as 'upraise'.
New input: fret, bored, emotional state, concerned
Solution:
|
emotional status
| 0
|
NIv2
|
task143_odd-man-out_classification_generate_category
|
fs_opt
|
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] |
Q: 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'.
Andrew and Jack will be playing football on opposing teams. Andrew will more likely pass the ball to Jack rather than to his teammate.
A:
|
False
| 7
|
NIv2
|
task116_com2sense_commonsense_reasoning
|
zs_opt
|
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] |
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.
Furthermore, the basic seq2seq assumes a strict order between generated tokens, but in reality, we should not severely punish the model when it predicts the correct tokens in the wrong order.
Question: Do they impose any grammatical constraints over the generated output?
No
Since the training data consists only of utterance-denotation pairs, the ranker is trained to maximize the log-likelihood of the correct answer $z$ by treating logical forms as a latent variable The role of the ranker is to score the candidate logical forms generated by the parser; at test time, the logical form receiving the highest score will be used for execution. The ranker is a discriminative log-linear model over logical form $y$ given utterance $x$ :
Question: How does the model compute the likelihood of executing to the correction semantic denotation?
By treating logical forms as a latent variable and training a discriminative log-linear model over logical form y given x.
Since, we there was no publicly available standard Nepali NER dataset and did not receive any dataset from the previous researchers, we had to create our own dataset. This dataset contains the sentences collected from daily newspaper of the year 2015-2016.
Question: What is the source of their dataset?
|
daily newspaper of the year 2015-2016
| 0
|
NIv2
|
task460_qasper_answer_generation
|
fs_opt
|
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] |
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Context: Support our work to help the children & families impacted by the USA #tornadoes: Save the Children (@SavetheChildren) April 30, 2014 Answer: by tornadoes
|
why have children and families been hurt?
| 0
|
NIv2
|
task240_tweetqa_question_generation
|
zs_opt
|
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] |
Instructions: Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, use as few words as possible from the given context. Use a response that is uncommon/non-stereotypical, so that it is less predictable. To be less repetitive, please vary your language for each question.
Input: Context: I do n't leave the house much anymore . By staying at home , i force myself to save the scarce funds i have for utilities ( and feed my reemerging need for social stigma ) . I ' ve told Trevor to cancel the cable five times now , he wo n't listen .
Question: What is a likely reason that Trevor refuses to cancel the cable ?
Output:
|
He does n't plan to get rid of something that he himself uses.
| 3
|
NIv2
|
task024_cosmosqa_answer_generation
|
zs_opt
|
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] |
instruction:
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.
question:
17, 20, ['j', '3799', '2457', '2975', '691', '8473', 'R', 'o', '4005', 'b', 'A', '8207', '9355', '3133', 'W', 'N', '2233', 'p', '1185', 'w', '6119', 'W', 'O', '3359', 'R', '2927', 'C', '3629', 'l']
answer:
2233p1185w
question:
2, 15, ['y', '5591', '6581', '7619', '4615', 'S', '5113', '3245', 'q', 'U', '4549', 'v', 'q', '1983', 'b', '3921']
answer:
5591658176194615S51133245qU4549vq1983b
question:
9, 17, ['993', 'P', '375', 'O', '439', '337', '8803', 'Q', '553', 'g', '929', 'i', '471', '9221', 'm', '519', 'I', '2451', 'x', '3817']
answer:
|
553g929i4719221m519I
| 9
|
NIv2
|
task100_concatenate_all_elements_from_index_i_to_j
|
fs_opt
|
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] |
Detailed Instructions: This task is about translating a given Spanish language sentence to English.
Problem:Tenemos que detenernos. żDetenernos? żPor qué? La nińa está mala.
Solution:
|
Give the baby to the first Daikini you see. then hury home.
| 8
|
NIv2
|
task1692_qed_amara_translation
|
zs_opt
|
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