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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 contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Sentence 1: Cyclists are cycling through laps. Sentence 2: Olympic hopefuls train for their next competition.
|
People ride bikes outside.
| 0
|
NIv2
|
task189_snli_neutral_to_contradiction_text_modification
|
zs_opt
|
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] |
Part 1. Definition
You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixing things, shaking them, etc. To make sure that the generated process does not lead to the asked outcome, you can introduce objects or events unrelated to the context of the question e.g. 'cleaning the keyboard by making an elephant sit on them'; or you can create contradictory statements e.g. 'drying wet keyboards with running water'. In your responses, avoid typos and misspellings.
Part 2. Example
How do you remove keys from a computer keyboard for cleaning?
Answer: Place the tip of your finger under the corner of a key and gently twist to pop it off.
Explanation: The answer is related to the question, but certainly doesn't lead to the asked outcome( A sharp narrow object should be used instead of finger.), so this is a correct answer.
Part 3. Exercise
How do you cook sliced ginger in water?
Answer:
|
Fill a saucepan with water. Place whole ginger root into the saucepan. Turn on the stove to medium-high heat. Cover the saucepan.
| 7
|
NIv2
|
task081_piqa_wrong_answer_generation
|
fs_opt
|
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] |
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Q: Event:PersonX gets the ice cream. Intent: 1) to play cupid and set two people up. XEmotion: 1) helpful
A:
|
happy for ice cream
| 4
|
NIv2
|
task924_event2mind_word_generation
|
zs_opt
|
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] |
In this task you are given a medical question pair hand-generated. Your task is to classify a given post into two categories 1) 'Similar' if the given two questions have a same connotation 2) 'Dissimilar' if the given two questions have a different connotation or meaning.
[EX Q]: Sentence1: Can ibs calm down at night then kick in in the day?
Sentence2: I have IBS and the symptoms have been frustrating lately. Should I change my diet or take any medications?
[EX A]: Dissimilar
[EX Q]: Sentence1: Will bodybuiling at sixteen and a half slow my height growth, im just 5'7ft?
Sentence2: I am sixteen and half year old and my height is 5 feet 7 inches. How long will I continue to grow taller?
[EX A]: Dissimilar
[EX Q]: Sentence1: Can masturbating while on diflucan (fluconazole) get rid of it inside your body?
Sentence2: I have been prescribed on fluconazole for vaginal yeast infection. How long would it take to clear?
[EX A]:
|
Dissimilar
| 6
|
NIv2
|
task1645_medical_question_pair_dataset_text_classification
|
fs_opt
|
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] |
Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
One example: Female snakes incubate eggs inside of their bodies, giving birth to live young of ____ or more. \Question: Choose the right answer from the options given a) five b) zero c) seven d) ten
Solution is here: d
Explanation: Snakes give birth to minimum ten young ones so ten is a correct answer.
Now, solve this: Alleles fall into ____ classes based on somatic, gonadal and dauer phenotypes.\Question: Choose the right answer from options given a) ten b) six c) eight d) no
Solution:
|
b
| 6
|
NIv2
|
task1360_numer_sense_multiple_choice_qa_generation
|
fs_opt
|
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0.02869872748851776,
-0.47742021083831787,
-0.44572606682777405,
0.21316561102867126
] |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Ex Input:
پس چرا واقعا می خواین بدونید که اونی که توی فیس بوکه ، کیه ؟ مگر این که قصد سوء استفاده یا آزار رسوندن به اونها را به نحوی داشته باشید ؟
Ex Output:
למה שתרצה לדעת מי באמת האדם הזה בפייסבוק, אלא אם כן אתה רוצה לפגוע בהם או להטריד אותם באיזושהי דרך?
Ex Input:
تنها سوال این است که آیا ما بدخیم هستیم یا خوش خیم ؟
Ex Output:
והשאלה היחידה היא, האם אנחנו ממאירים או שפירים?
Ex Input:
(خنده حضار) می دونم بعضی از شماها به چی فکر می کنین. و عمدتاً هم حق با شماست.
Ex Output:
|
(צחוק) ואני יודעת מה כמה מכם חושבים, ואתם צודקים בעיקר.
| 1
|
NIv2
|
task1269_ted_translation_fa_he
|
fs_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 of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences in order, such as '34' or '25'. The first digit refers to the sentence which should come first in the story.
Example: Title: Marcus Buys Khakis. Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: The pair he bought fit him perfectly. Sentence 3: He decided to buy a pair of khakis. Sentence 4: All of his clothes were either too formal or too casual. Sentence 5: Marcus was happy to have the right clothes for the event.
Output: 24
Marcus's reasons for buying khakis is established, followed by his purchase of them and reaction.
New input case for you: Title: The Food Order. Sentence 1: It was a busy lunch hour and there were many customers. Sentence 2: Tara was working in a fast food restaurant. Sentence 3: Tara gave a customer's order to the wrong person. Sentence 4: The person left with the order. Sentence 5: Tara had to make the customer a new order.
Output:
|
21
| 1
|
NIv2
|
task218_rocstories_swap_order_answer_generation
|
fs_opt
|
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] |
Detailed Instructions: You are given a statement written in Hindi. 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 .
See one example below:
Problem: Statement: सिग्नेचर केल्विन क्लेन अंडरवियर बुटीक, ब्यूनस आयर्स, टोरंटो, मेक्सिको सिटी, <MASK>, ग्लासगो, मेलबोर्न, हांगकांग, लंदन, मैनचेस्टर, न्यूयॉर्क शहर, शंघाई, फ्रैंकफर्ट एम् मेन, सिंगापुर में देखे जा सकते हैं। केल्विन क्लेन अंडरवियर, कार्डिफ़ के सेंट डेविड शॉपिंग सेंटर में भी 2010 में क्रिसमस से पहले एक दुकान खोलने जा रहा है।
Option A: मैनचेस्टर
Option B: मैनचेस्टर
Option C: एडिनबर्ग
Option D: मेलबोर्न
Solution: एडिनबर्ग
Explanation: The most suitable word from the given options to replace the <MASK> token is एडिनबर्ग as the rest places have already been stated in the statement .
Problem: Statement: २ जून, <MASK>, फैजाबाद अदालत ने इन्हें आदेश दिया कि इन्होंने भूमिहीन दलित किसानों के लिए विशेष रूप से आरक्षित भूमि को अवैध रूप से अधिग्रहीत किया है। जालसाजी से संबंधित आरोंपों के लिए इनकी जांच की जा सकती है। जैसा कि उन्होंने दावा किया कि उन्हें कथित तौर पर एक किसान माना जाए यदि वह कहीं भी कृषिभूमि के स्वामी के लिए उत्तीर्ण नहीं कर पाते हैं तब इन्हें 20 एकड़ फार्महाउस की भूमि को खोना पड़ सकता है जो उन्होंने मावल पुणे. के निकट खरीदी थी।
Option A: २००८
Option B: 2002
Option C: २००१
Option D: २००७
Solution:
|
२००७
| 4
|
NIv2
|
task947_wiki_cloze_hi_multiple_choice_question_answering
|
fs_opt
|
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] |
instruction:
Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
question:
Wenn Sie brauchen, um die Umwelt zu retten, haben Sie keine Kinder.
answer:
Wenn Sie gewinnen, um die Umwelt zu retten, haben Sie keine Kinder.
question:
Einige Ihrer Aktivitäten können bequeme Kleidung sein.
answer:
Einige Ihrer Besitztümer können eine komfortable Unterkunft sein.
question:
Kleine Mädchen müssen lernen, Telefonate zu drehen.
answer:
|
Kleine Mädchen müssen erklären, um Telefonate zu machen.
| 9
|
NIv2
|
task416_mickey_de_sentence_perturbation_generation
|
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 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 want what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonY and others, respectively. For example, as a result of PersonX giving PersonY gifts, PersonY may want to open the gift. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Example: Head: PersonX holds PersonY's head<sep>Tail: to be messaged
Output: Yes
This is a good example. As a result of the Head, PersonY will want to be messaged.
New input case for you: Head: PersonX gives PersonY my number<sep>Tail: to talk to me
Output:
|
Yes
| 1
|
NIv2
|
task1198_atomic_classification_owant
|
fs_opt
|
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] |
Given a document, generate a short title of the document. The title should convey the main idea/event/topic about which the document is being written. Note that URLs in the text have been replaced with [Link].
Let me give you an example: In a letter posted on the White House web site Tuesday John Brennan assistant to President Barack Obama for homeland security and counterterrorism said Schmidt will have regular access to the president and play a vital role in the country's security.
Schmidt's selection comes more than 10 months after Obama declared cyber security a priority and ordered a broad administration review.
A senior White House official said Obama was personally involved in the selection process and chose Schmidt because of his unique background and skills. Schmidt will have regular and direct access to the president for cyber security issues the official said. The official spoke on the condition of anonymity to discuss the selection process.
At the same time cyber experts and potential job candidates have complained that the position lacks the budgetary and policy-making authority needed to be successful. Schmidt will report to the National Security Council and closely support the National Economic Council on cyber issues.
Schmidt's selection suggests that economic and business interests in the White House held more sway in the selection process. Schmidt president and CEO of the Information Security Forum a nonprofit international consortium that conducts research in information security has served as chief security officer for Microsoft and as cyber security chief for online auction giant eBay. He was reportedly preferred by Lawrence Summers director of the economic council.
The answer to this example can be: White House picks new cyber coordinator
Here is why: The title is relevant to the main topic of document, that is, the selection of Schmidt as the cybersecutiy chief.
OK. solve this:
Skip in Skip x Embed x Share CLOSE President Donald Trump says he asked Vladimir Putin about Russian interference in the 2016 president election while in Vietnam. Video provided by Newsy Newslook
Attorney General Jeff Sessions is sworn-in to testify before the Senate Judiciary Committee hearing on oversight of the Department of Justice on Capitol Hill in Washington on Oct. 18 2017. (Photo: Michael Reynolds european pressphoto agency)
WASHINGTON â Attorney General Jeff Sessions could not have been more definitive when he told a Senate panel last month that he had no knowledge of Trump campaign contacts with Russia.
âI did not and Iâm not aware of anyone else that did â Sessions told the Senate Judiciary Committee. âI donât believe that happened.â
Democrats and Republicans on the House Judiciary Committee are preparing a strong challenge to Sessions â assertions at a hearing Tuesday based largely on the guilty plea of George Papadopoulos who served as a foreign policy adviser to the Trump campaign and admitted to the FBI he attended a national security meeting in March 2016 with then-candidate Donald Trump Sessions and other advisers.
"Itâs time for Jeff Sessions to name a Special Counsel and get answers for the American people " the two congressmen wrote. "If not he should step down."
In addition to the Russia investigation Rep. Trey Gowdy R-S.C. said Sessions should expect "spirited questioning" on recent spikes in violent crime firearms policy in the wake of two mass shootings immigration enforcement and the Justice Department's recent move to support harsher sentencing policy.
But Sessions likely will be hard-pressed to move beyond the cloud of the Russia investigation and his association with it.
Sharman said the recent Papadopoulos and Page disclosures make Sessions at least a "witness" in the Mueller inquiry as it churns on. ( Sessions told the Senate committee last month that the special counsel had not yet sought to interview him.)
And Trump has taken no pleasure in Sessions or the Justice Department. Earlier this month the president said he was "disappointed" in the department for not pursuing Clinton and Democrats further.
More: AG Jeff Sessions declines to answer questions about the firing of FBI director
Answer:
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Jeff Sessions to face tough Russia questions at House hearing
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task418_persent_title_generation
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fs_opt
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] |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separated with a new line.
Example: Lucifer how many episodes are in season 3?
Example solution: How many episodes of season 3 of Lucifer were there, including bonus episodes?
26
Example explanation: The generated question clarifies the input question by asking about bonus episodes because if the question is about regular episodes only then the answer will be different than including the bonus episodes. Also, the answer to the generated question is provided.
Problem: Who won so you think you can dance 2016?
|
Solution: Who won so you think you can dance: The Next Generation 2016?
Leon "Kida" Burns
| 5
|
NIv2
|
task671_ambigqa_text_generation
|
fs_opt
|
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] |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Your sentence should be grammatically and syntactically correct. Also stick to the context of the given story. For example, if the story talks about "doctors", you can talk about "health" or "diagnosis", but don't mention "aliens". Avoid introducing any extra/irrelevant information, and use names instead of pronouns (e.g. he / she) wherever possible. Avoid simply negating the original middle, for example: "She likes cakes." is changed to "She doesn't like cakes."
Example input: Beginning: Lauren finished her late night shift at the bar feeling tired. Middle: Lauren took a long hot bath when she got home. Ending: Lauren's husband was glad to see her feeling refreshed.
Example output: Lauren's husband took a long hot bath when he got home.
Example explanation: If a person takes a bath, another person's tiredness is not reduced.
Q: Beginning: Anna was camping in the woods. Middle: Anna saw a bear in the distance. Ending: Thankfully, the bear had wandered away.
A:
|
A bear saw Anna in the distance.
| 3
|
NIv2
|
task068_abductivenli_incorrect_answer_generation
|
fs_opt
|
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0.17583595216274261
] |
Given the task definition and input, reply with output. Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong to the same semantic class. A HYPER relationship applies when X is a specific instance of Y. If niether COORD nor HYPER are applicable then the relationship is RANDOM.
X: box, Y: dream
|
RANDOM
| 5
|
NIv2
|
task1505_root09_semantic_relation_classification
|
zs_opt
|
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] |
Instructions: In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Input: What is the difference between FDI and FII?
Output:
|
How does the FDI and FII help in the Indian economy?
| 3
|
NIv2
|
task1345_glue_qqp_question_paraprashing
|
zs_opt
|
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] |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Input: Consider Input: 二つの側面から物事を進めなさいということなのです。
Output: It's to say we operate on two levels.
Input: Consider Input: テクノロジーは皆が共有できる社会的な方法を作ることを可能にしています
Output: Technology is just generally being used to allow us to create in as shared and social a way as possible.
Input: Consider Input: 「アビス」では面白い収穫がありましたあるシーンの映像を作る上で解決策が必要でした水のような生き物を作る必要があったんですそこでコンピュータによるCGを利用しました
|
Output: Something interesting came out of "" The Abyss, "" which was that to solve a specific narrative problem on that film, which was to create this kind of liquid water creature, we actually embraced computer generated animation, CG.
| 2
|
NIv2
|
task1222_ted_translation_ja_en
|
fs_opt
|
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] |
Given the task definition, example input & output, solve the new input case.
Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Example: Natalo ng Italya ang Portugal sa puntos na 31-5 sa Grupong C noong 2007 sa Pandaigdigang laro ng Ragbi sa Parc des Princes, Paris, France.
Output: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
The Filipino sentence is correctly converted into Japanese because the converted sentence holds the message that Italy defeated Portugal 31–5 in Pool C of the 2007 Rugby World Cup at the Parc des Princes in Paris, France. Also, translated sentence preserves the numbers as it is.
New input case for you: Naisip dati ng mga astronomer na ang mga singsing ay halos ganap na patag, na may mga pagbabago lang sa taas nang kaunting metro.
Output:
|
今まで天文学者の間では輪はほぼ完全に扁平で、厚みの差は数メートルほどしかないと考えられてきた。
| 1
|
NIv2
|
task1119_alt_fil_ja_translation
|
fs_opt
|
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] |
Q: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head happens after the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX is in a lot of pain<sep>Tail: PersonX stubs his toe on the couch chasing the cat
A:
|
Yes
| 7
|
NIv2
|
task1205_atomic_classification_isafter
|
zs_opt
|
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0.1427021026611328,
-0.6440640687942505,
0.23405665159225464,
-1.1159001588821411,
0.06877380609512329,
-0.5567342042922974,
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0.7853484749794006,
-0.18010759353637695,
-1.1672139167785645,
-0.11185598373413086
] |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Input: Y éste es más o menos, un pan de harina integral, artesanal, de una pequeña panadería.
Output:
|
E este é mais ou menos, um pão integral, feito à mão, numa padaria pequena.
| 2
|
NIv2
|
task1104_ted_translation_es_pt
|
zs_opt
|
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] |
Detailed Instructions: In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
See one example below:
Problem: Abstract: This study was designed to determine the influence of a long-term, moderate-intensity treadmill training program on the distribution of blood flow within and among muscles of rats during exercise. One group (T) of male Sprague-Dawley rats trained for 1 h/day for 13-17 wk at 30 m/min on a motor-driven treadmill. A second group (UT) of rats was conditioned for 10 min/day for 4 wk at the same speed. Muscle succinate dehydrogenase activities were higher in T than UT rats indicating a significant training effect. Blood flows (BFs) in 32 hindlimb muscles or muscle parts and other selected organs were measured in the two groups with radiolabeled microspheres during preexercise and while the rats ran for 30 s, 5 min, or 15 min at 30 m/min on the treadmill. The data indicate 1) there were no differences in total hindlimb muscle BF between UT and T rats at any time; however, 2) T rats had higher preexercise heart rates and higher muscle BFs in the deep red extensor muscles, suggesting a greater anticipatory response to the impending exercise; 3) T rats demonstrated more rapid elevations in BF in the red extensor muscles at the commencement of exercise; 4) T rats had higher BFs in red extensor muscles during exercise, whereas UT rats had higher BFs in white muscles; and 5) T rats maintained higher BFs in the visceral organs during exercise. These findings demonstrate that exercise training results in changes in the distribution of BF within and among muscles and among organs during exercise. Specifically, data indicate the high-oxidative motor units that are primarily recruited in the muscles during the initial stages of moderate treadmill exercise receive higher blood flows in the trained rats; this presumably contributes to increased resistance to fatigue.. Title: Exercise blood flow patterns within and among rat muscles after training.
Solution: yes
Explanation: Title is appropriate for the given abstract because the focus of this abstract is cerebral white matter assesment.
Problem: Abstract: Although myeloid cell activation is requisite for an optimal innate immune response, this process must be tightly controlled to prevent collateral host tissue damage. Kruppel-like factor 2 (KLF2) is a potent regulator of myeloid cell proinflammatory activation. As an approximately 30% to 50% reduction in KLF2 levels has been observed in human subjects with acute or chronic inflammatory disorders, we studied the biological response to inflammation in KLF2(+/-) mice. Herein, we show that partial deficiency of KLF2 modulates the in vivo response to acute (sepsis) and subacute (skin) inflammatory challenge. Mechanistically, we link the anti-inflammatory effects of KLF2 to the inhibition of NF-κB transcriptional activity. Collectively, the observations provide biologically relevant insights into KLF2-mediated modulation of these inflammatory processes that could potentially be manipulated for therapeutic gain.. Title: Kruppel-like factor 2 is a transcriptional regulator of chronic and acute inflammation.
Solution:
|
yes
| 4
|
NIv2
|
task1587_scifact_classification
|
fs_opt
|
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] |
Definition: In this task, you will be presented with the directions of a recipe separated by "," and have to fill in the "___" which is a step that is missing from the recipe.
Input: ______,Add eggs, milk, vanilla, margarine and pecans.,Beat well and pour into a 9-inch deep dish pie shell.,Bake in a 350° oven for 40 to 45 minutes or until center is firm.,Cool and sprinkle or sift a little powdered sugar on top.
Output:
|
Combine sugar, cocoa, flour, cornmeal and dash of salt in a mixing bowl.
| 2
|
NIv2
|
task572_recipe_nlg_text_generation
|
zs_opt
|
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] |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it will be labeled as 'Favor' also if the tweets state information or news rather than stating opinion then it will be characterized as 'Neutral'.
Example input: Tweet: Vull votar i votaré. Hi ha quelcom que no em permet no fer-ho. Ara bé tinc un greu problema. No sé a qui!!
Example output: Favor
Example explanation: The tweet asks for the right to vote for the independence of Catalonia and it supports the movement so it will be characterized as 'Favor'.
Q: Tweet: Darrerament tots els trets de Colau li surten per la culata, les retallades (reprogramacions en llenguatge de la COLAUPEDIA) en tots els àmbits municipals, la @barcelona_GUB se'n duu la palma (cartutxos, armilles que es trenquen, cotxes petits....) https://t.co/mbtCQ0yl4M
A:
|
Against
| 3
|
NIv2
|
task1646_dataset_card_for_catalonia_independence_corpus_text_classification
|
fs_opt
|
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] |
Instructions: A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+4, the weights are: 2,3,4. You can present a polynomial with the list of its weights, for example, equation weights = [6, 4] represent the equation 6x + 4 and equation weights = [1, 3, 4] represent the equation 1x^2 + 3x + 4. In this task, you need to compute the result of a polynomial expression by substituing a given value of x in the given polynomial equation. Equation weights are given as a list.
Input: x = 7, equation weights = [5, 9, 3]
Output:
|
311
| 3
|
NIv2
|
task090_equation_learner_algebra
|
zs_opt
|
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] |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
Q: لذا فإن أول ما فعلناه هو أننا أحضرنا حقيبة من قطع الحلوى وتمشينا حول حرم الجامعة وتحدثنا مع الطلاب والعمداء والموظفين وطلبنا منهم معلومات عن كلمات المرور الخاصة بهم
A:
|
Então a primeira coisa que fizemos foi, comprámos um saco de guloseimas e andámos pelo "" campus "" e falámos com estudantes, professores e funcionários, e pedimos-lhes informações sobre as suas palavras-passe.
| 4
|
NIv2
|
task1109_ted_translation_ar_pt
|
zs_opt
|
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] |
In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
One example is below.
Q: gocogccocco
A: gocog
Rationale: The substring 'gocog' is the longest possible substring that is also a palindrome. So this is a good example.
Q: tttiitttoi
A:
|
tttiittt
| 9
|
NIv2
|
task850_synthetic_longest_palindrome
|
fs_opt
|
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] |
Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
Let me give you an example: concept: Selena Gomez question: what city was selena gomez born in?
The answer to this example can be: New York City
Here is why: The answer is correct based on the information available on the web about Selena Gomez.
OK. solve this:
concept: English question: which countries speak english?
Answer:
|
['Canada', 'Australia', 'South Africa', 'Zambia', 'United Kingdom', 'Zimbabwe', 'Uganda', 'New Zealand', 'Turks and Caicos Islands', 'Tanzania']
| 8
|
NIv2
|
task1601_webquestions_answer_generation
|
fs_opt
|
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] |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Your sentence should be grammatically and syntactically correct. Also stick to the context of the given story. For example, if the story talks about "doctors", you can talk about "health" or "diagnosis", but don't mention "aliens". Avoid introducing any extra/irrelevant information, and use names instead of pronouns (e.g. he / she) wherever possible. Avoid simply negating the original middle, for example: "She likes cakes." is changed to "She doesn't like cakes."
Beginning: Lauren finished her late night shift at the bar feeling tired. Middle: Lauren took a long hot bath when she got home. Ending: Lauren's husband was glad to see her feeling refreshed.
Solution: Lauren's husband took a long hot bath when he got home.
Why? If a person takes a bath, another person's tiredness is not reduced.
New input: Beginning: He went to the hospital with an upper respiratory infection. Middle: His infection was much worse than he thought. Ending: He passed away two days later.
Solution:
|
His infection was much better than he thought.
| 0
|
NIv2
|
task068_abductivenli_incorrect_answer_generation
|
fs_opt
|
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] |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay special attention to the marked number, think about what (unwritten) information the marked number holds inside, choose the most adequate word(s) from the optional answers. If none of them seems right to you, there's also an option for other. If your answer is "REFERENCE", also write the reference entity, otherwise write the implicit option name. Options to choose from are:
REFERENCE: Some object which is being mentioned in the text before or after the target number. The reference answer has a higher priority than any other. If both Reference and another answer are possible, prioritize the Reference.
YEAR: Describing a calendric year
AGE: Describing someone's age
CURRENCY: Reference to some monetary value e.g dollar, euro etc.
PEOPLE: Describing a single/plural persons
TIME: Describing a time of the day. Usually you can add the word o'clock after those numbers.
OTHER: Some other option, which isn't listed here.
[EX Q]: Joey Knish: I 'm listening . What do you need ? 500 ? A grand ?
Mike McDermott: Huh ? I need ... I need _ 15,000 _ .
Joey Knish: Fifteen ?
Mike McDermott: Yep .
Joey Knish: I need a blow job from Christy Turlington . Get the fuck outta here . $ 15,000 ?
[EX A]: CURRENCY
[EX Q]: Wes Craven: I think the only way to stop him is to make another movie . Now I swear to you I 'll I 'm gon na stay by this computer and keep writing until I finish the script , but ... when the time comes , you 're gon na have to make a choice .
Heather Langenkamp: Choice ? What kind of choice ?
Wes Craven: Whether or not you will be willing to play Nancy _ one _ last time .
[EX A]: OTHER
[EX Q]: Robert Bettencourt: Wait , the " Great Latino Hope " does n't speak Spanish ?
Andy Guzman: Awkward , right ? My parents thought an accent would hold me back , so no one spoke Spanish at home .
Robert Bettencourt: I hear you on that _ one _ , man . My house was an Ebonics - free zone . Strictly enforced .
Andy Guzman: Really ? That 's amazing . No " ¿ Qué pasas ? " for me . No " 's up , dogs ? " for you . How 'd the hell did we survive ?
Robert Bettencourt: We became Republicans .
[EX A]:
|
OTHER
| 6
|
NIv2
|
task304_numeric_fused_head_resolution
|
fs_opt
|
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The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Catalan Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Catalan language. 2) Also names, dates and places should be preserved it should not get translated.
From this time the subject was never revived by Elinor, and when entered on by Lucy, who seldom missed an opportunity of introducing it, and was particularly careful to inform her confidante, of her happiness whenever she received a letter from Edward, it was treated by the former with calmness and caution, and dismissed as soon as civility would allow; for she felt such conversations to be an indulgence which Lucy did not deserve, and which were dangerous to herself.
Desde ese momento Elinor nunca volvió a tocar el tema; y cuando lo mencionaba Lucy, que no dejaba pasar la oportunidad de introducirlo en la conversación y se preocupaba especialmente de hacer saber a su confidente su felicidad cada vez que recibía una carta de Edward, la primera lo trataba con tranquilidad y cautela y lo despachaba apenas lo permitían las buenas maneras, pues sentía que tales conversaciones eran una concesión que Lucy no se merecía, y que para ella era peligrosa.
She was seated in her mother's lap, covered with kisses, her wound bathed with lavender-water, by one of the Miss Steeles, who was on her knees to attend her, and her mouth stuffed with sugar plums by the other.
La sentaron en el regazo de su madre, la cubrieron de besos; una de las señoritas Steele, arrodillada para atenderla, enjugó su herida con agua de lavanda, y la otra le llenó la boca con ciruelas confitadas.
"My love you contradict every body," said his wife with her usual laugh.
|
-Mi amor, contradices a todo el mundo -dijo su esposa, con su risa habitual-.
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task1652_opus_books_ca-en_translation
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] |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
È probabile che troverete un'isola intorno in una baia.
Output:
|
È probabile che troverete un ing intorno a un lago.
| 1
|
NIv2
|
task408_mickey_it_sentence_perturbation_generation
|
zs_opt
|
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] |
Q: In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimals in the output. Zero should be counted as an even integer.
[-36, -98, 22, -20, 74, 8, 23, -58, -66]
A:
|
[-9.0, -24.5, 5.5, -5.0, 18.5, 2.0, 94, -14.5, -16.5]
| 7
|
NIv2
|
task368_synthetic_even_or_odd_calculation
|
zs_opt
|
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] |
Detailed Instructions: Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provides more information about the story's context. The original ending is the last three sentences of the story. Also, you are given a new ending that can provide the new story with the same premise. You should write a counterfactual context to explain the small differences between the original and new endings. More specifically, a story context contains the general plot of the story. And a counterfactual context is a slight modification to the initial context. To sum up, you should write the second sentence of a story based on the premise(first sentence) and the new ending(last three sentences) of the story.
Q: Premise: I wanted to learn more about Medieval music.
Initial Context: I did some research at the library.
Original Ending: I saw some pictures of old instruments. Many were unfamiliar, but some were recognizable. I bought a flute similar to those I had seen, and started learning it.
New ending: She showed me some pictures of old instruments. Many were unfamiliar, but some were recognizable. I bought a flute similar to those I had seen, and started learning it.
A:
|
I asked my teacher about it.
| 9
|
NIv2
|
task270_csrg_counterfactual_context_generation
|
zs_opt
|
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] |
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
One example is below.
Q: Sentence: David A. DiLoreto , president of metal container division , was named *-1 to the additional post of group vice president , packaging products , at this packaging {{ , }} industrial and aerospace products concern , *-1 succeeding Delmont A. Davis , who *T*-3 was named *-2 president and chief operating officer in August .
Word: ,
A: .
Rationale: ',' is assigned the period (.) symbol since it denotes a punctuation.
Q: Sentence: The Chandler , Ariz. , company said 0 it will resubmit the registration 0 *T*-1 to cover only the 2.3 {{ million }} warrants , each exercisable for the purchase of one common share .
Word: million
A:
|
NUM
| 9
|
NIv2
|
task1167_penn_treebank_coarse_pos_tagging
|
fs_opt
|
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] |
Given the task definition and input, reply with output. In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
In a medium bowl, mix ground nuts and bread crumbs. Stir in olive oil, tomato paste, and hot sauce. Add minced green onion and parsley. Mix well., Using your hands, form the mixture into bite-size balls. Refrigerate until ready to use.
|
ground toasted mixed nuts, bread crumbs, extra virgin olive oil, tomato paste, hot sauce, green onion, flat leaf parsley
| 5
|
NIv2
|
task571_recipe_nlg_ner_generation
|
zs_opt
|
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] |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Example: 地球が今よりも無垢だった時代を訪れたかのようでした
Output: كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض
The Japanese sentence is correctly translated into Arabic, because the meaning is preserved.
New input case for you: 私にとってそれが心からの幸せです
Output:
|
بالنسبة لي ، هذه هي السعادة الحقيقية.
| 1
|
NIv2
|
task1224_ted_translation_ja_ar
|
fs_opt
|
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] |
In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Example input: Problem: on a sum of money , the simple interest for 2 years is rs . 330 , while the compound interest is rs . 340 , the rate of interest being the same in both the cases . the rate of interest is
Options: a ) 15 % , b ) 14.25 % , c ) 6.06 % , d ) 10.5 % , e ) 11.5 %
Example output: c
Example explanation: "explanation : the difference between compound interest and simple interest on rs . p for 2 years at r % per annum = ( r ã — si ) / ( 2 ã — 100 ) difference between the compound interest and simple interest = 340 - 330 = 10 ( r ã — si ) / ( 2 ã — 100 ) = 10 ( r ã — 330 ) / ( 2 ã — 100 ) = 10 r = 6.06 % answer : option c"
Q: Problem: ravi and sunil are partners in a business . ravi invests rs . 9,000 for 8 months and sunil invested rs . 12000 for 9 months then after one year ratio of their profits will be
Options: a ) 1 : 3 , b ) 2 : 3 , c ) 3 : 2 , d ) 3 : 1 , e ) 3 : 4
A:
|
b
| 3
|
NIv2
|
task1419_mathqa_gain
|
fs_opt
|
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0.2907523810863495,
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] |
Given the task definition and input, reply with output. In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications of each category:
1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows
2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows
3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows
4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows
5. Comparative: Comparing two rows in the table, regarding their values in one column
6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows
7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows.
Here are the definitions of logical operators for understanding of command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
greater { hop { filter_eq { all_rows ; general election ; 10th lok sabha } ; % of votes } ; hop { filter_eq { all_rows ; general election ; 8th lok sabha } ; % of votes } }
|
comparative
| 5
|
NIv2
|
task212_logic2text_classification
|
zs_opt
|
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] |
In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel.
Let me give you an example: hNarAik
The answer to this example can be: hNrk
Here is why: The three vowels in the input 'a, 'A', and 'i' are removed.
OK. solve this:
tnIjWQqDAjUm
Answer:
|
tnjWQqDjm
| 8
|
NIv2
|
task365_synthetic_remove_vowels
|
fs_opt
|
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] |
In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it should be in sentence case (capitalize only the first word of each sentence and noun).
One example: Hindi: पहले दो को अविश्वसनीय मानकर बाकी पांच मुखबिरों के आधार पर मुकदमा चलाया गया|
English: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
Solution is here: Yes
Explanation: Hindi sentence is properly converted into English sentence because the Hindi sentence also says that the first two were judged to be untrustworthy, thus the prosecution relied heavily on the testimony of the remaining five approvers. Also, the translated sentence is in a sentence case.
Now, solve this: Hindi: हर मुलाकात में आपके दाँत के डॉक्टर ( या उनके सहायक ) निम्नलिखित भी करेंगेः सूजन , दाँतों की गतिशीलता और थैलियों के लिए आपके मसूड़ों की जाँच ; कैंसर , डायबिटीज तथा विटामिन की कमी की संभावना के लिए मुँह की जाँच ; और चेहरे की बनावट , काटने की क्षमता , थूक और टेम्परौमैन्डिवुलर जोड़ ( टी.एम.जे . ) में संभावित त्रुटियों की जाँच ।
English: During each visit , your dentist -LRB- or dental hygienist -RRB- will also : check your gums -LRB- gingiva -RRB- for inflammation , tooth mobility and pockets ; examine your mouth for indications of possible cancer , diabetes and vitamin deficiencies ; and note any irregularities in your facial structure , bite , saliva and temporomandibular joint -LRB- TMJ -RRB- .
Solution:
|
Yes
| 6
|
NIv2
|
task426_hindienglish_corpora_hi-en_classification
|
fs_opt
|
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] |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Ex Input:
Person1: I hear that Tom got divorced , and I don ’ t know how he is now .
Person2: Out of sight , out of mind .
Person1: Who do you mean ?
Person2: Don ’ t you know they have had little affection for each other ?
Ex Output:
0
Ex Input:
Person1: Jenny , do you want to go to see a movie ?
Person2: What's on tonight ?
Person1: I want to see ' Click . '
Person2: Who is in this movie ?
Person1: I don't know . My friend told me it was a touching movie .
Ex Output:
0
Ex Input:
Person1: Hello Mike ! Would you like a drink ?
Person2: No , thank you . I had too much to drink yesterday evening . I had a bad hangover this morning . My head felt terrible .
Person1: Were you celebrating something ?
Person2: Yes . It was a friend ’ s birthday party . We drank all kinds of things-beer , wine and spirits . After midnight , we were even drinking cocktails !
Person1: It ’ s a bad idea to drink a combination of alcoholic drinks . You should stick with one for the whole evening .
Person2: I know , but it was a celebration , you Kwon ? I don ’ t think I ’ Ve see you drunk .
Person1: I usually only drink beer and I rarely drink more than a few pints .
Person2: You are a sensible drinker . Anyway , I ’ m not going to drink any alcohol this evening . I don ’ t ’ want another bad hangover .
Person1: Let me buy you a soft drink then . How about a coke ?
Person2: Yeah . That ’ s a good idea . I heard that coke was first used as a medicine .
Person1: Rally ? ... barman ! ... a large coke with ice and lemon , please ... thanks . Here ’ s the money .
Person2: Are you going to the wine tasting tomorrow ?
Person1: Yes . I thought it might be interesting to learn a little about wine ...
Person2: ... and taste a few ! There will be wines from several countries and an expert to give advice on which wines are good and which ones are not .
Person1: Yes . I ’ m looking forward to it .
Ex Output:
|
0
| 1
|
NIv2
|
task1536_daily_dialog_happiness_classification
|
fs_opt
|
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] |
Part 1. Definition
In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
Part 2. Example
[0,1,0,2,5,1]
Answer: [2,5]
Explanation: The only elements that are not duplicated is 2 and 5. This is a good example.
Part 3. Exercise
[7, 2, 5, 5, 2, 4, 6]
Answer:
|
[7, 4, 6]
| 7
|
NIv2
|
task097_conala_remove_duplicates
|
fs_opt
|
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] |
Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to compose your answer when possible. Do not change the main selected sentence in your answer.
Q: story: I was bored. My brother asked me if I would like to play some chess. Normally I would say no but I was so bored that I agreed. My brother beat me at chess. I got angry and threw the chessboard into the trash.
selected sentence: Normally I would say no but I was so bored that I agreed.
A:
|
I agree to play chess with him >Causes/Enables> My brother beats me at chess
| 9
|
NIv2
|
task748_glucose_reverse_cause_event_detection
|
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.
You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that requires an understanding of the relationship described in the background paragraph and the story. You need to come up with an answer to the given question; the answer will be a span from either the question or the story. In order to correctly answer the given question, you need to understand the relationship mentioned in the background paragraph and should be able to use it to understand that in the story. Your answer can not consist of any word that is not mentioned in any of these: the background paragraph, the story, or the question. You can directly copy and paste a span from the story or the question while answering the given question.
Background Paragraph: A rise in price of a good or service almost always decreases the quantity demanded of that good or service. Conversely, a fall in price will increase the quantity demanded. When the price of a gallon of gasoline increases, for example, people look for ways to reduce their consumption by combining several errands, commuting by carpool or mass transit, or taking weekend or vacation trips closer to home. Economists call this inverse relationship between price and quantity demanded the law of demand. The law of demand assumes that all other variables that affect demand (which we explain in the next module) are held constant.
Story: The AAA auto club does a weekly report on the prices of gas and diesel in various cities. Historically, the prices have be fairly stagnant, but this week their report garnered widespread attention as the prices of gas and diesel plunged from last week in Seattle by $0.40 each. However, just across the border in Vancouver, the cost of gas went up dramatically by $0.50.
Question: Which city will have an increase in demand for gas?
Solution: Seattle.
Why? The first sentence in the background paragraph (A rise in price of a good or service almost always decreases the quantity demanded of that good or service) and the sentence in the story (as the prices of gas and diesel plunged from last week in Seattle by $0.40 each) answer this question.
New input: Background Paragraph: Compared to conventional milk production, organic milk production tends to have lower eutrophication potential per ton of milk or per hectare of farmland, because it potentially reduces leaching of nitrates (NO3−) and phosphates (PO4−) due to lower fertilizer application rates. Because organic milk production reduces pesticides utilization, it increases land use per ton of milk due to decreased crop yields per hectare. Mainly due to the lower level of concentrates given to cows in organic herds, organic dairy farms generally produce less milk per cow than conventional dairy farms. Because of the increased use of roughage and the, on-average, lower milk production level per cow, some research has connected organic milk production with increases in the emission of methane.Animal welfare issues vary among dairy farms and are not necessarily related to the way of producing milk (organically or conventionally).
Story: Robert and his brother Dale are both dairy farmers that primarily produce milk products. Both Robert and Dale have farms that approximately the same size. Dale prefers to produce milk conventionally, as he likes the way that conventional milk tastes. Robert, on the other hand, decided to switch to organic milk production after reading an article online about it.
Question: Whose farm, Robert's or Dale's, will have cows that produce higher amounts of milk?
Solution:
|
Dale's.
| 0
|
NIv2
|
task061_ropes_answer_generation
|
fs_opt
|
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] |
Given an entity as input, output another entity which is part of the input entity. These are entities of meronym. In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., output entity) is in a part-of relationship with its holonym (i.e., input entity).
[EX Q]: eagle
[EX A]: eye
[EX Q]: glycoprotein
[EX A]: four carbohydrate
[EX Q]: layer
[EX A]:
|
blood vessel
| 6
|
NIv2
|
task471_haspart_answer_generation
|
fs_opt
|
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] |
Q: In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Paragraph: At the height of the SARS 1 crisis in spring 2003, the World Health Organization (WHO) and China fought a silent battle over the prevalence of two competing norms in global health governance. On the one hand, the established norm of sovereignty, particularly the principle of non-interference, had structured a regime for dealing with infectious disease outbreaks that provided ground rules of conduct but ascribed decision-making authority to member states alone. It explicitly ruled out foreign or supranational interference. On the other hand, the emerging norm of global health security was built on an understanding of infectious disease outbreaks as international security problems requiring supranational coordination and governance capacity. In effect, it implied the subordination of national economic and political interests to global disease detection and containment efforts. Its proponents thus sought a prominent role for the WHO in taking decisions in response to global health emergencies which would entail interference with state sovereignty. By the time of the SARS outbreak, this normative tension was far from being resolved. On the contrary, the two central actors in this episode, the Chinese government and the WHO secretariat, turned it into a manifest norm conflict by demonstrating incompatible positional differences over the relative priority of the two norms. 2 Intriguingly, however, neither China nor the WHO resorted to discursive modes of contestation by justifying their respective positions with reference to normative arguments. Almost exclusively, they displayed incompatible normative expectations in the way they put the norms into practice. The WHO acted as if the norm of global health security had already been widely accepted, supplanting those aspects of the sovereignty norm with which it conflicted. Without prior legal or political authorization to do so, the organization took a set of unprecedented measures. Most importantly, it issued travel warnings for affected regions, devised emergency recommendations, and put pressure on governments (the Chinese in particular) to comply-clearly challenging the non-interference 1 Severe Acute Respiratory Syndrome. 2 On the manifestation of norm conflicts, see Michael Zürn, Benjamin Faude and Christian Kreuder-Sonnen, Overlapping spheres of authority and interface conflicts in the global order: introducing a DFG research group, WZB
Title: China vs the WHO: a behavioural norm conflict in the SARS crisis
A:
|
False
| 7
|
NIv2
|
task1162_coda19_title_classification
|
zs_opt
|
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] |
Teacher:In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the ending, and use names instead of pronouns (e.g. he / she) wherever possible.
Teacher: Now, understand the problem? Solve this instance: Beginning: Marilyn was at the lake with her family. Middle: A stray dog came up to them.
Student:
|
Finally, they decided to keep it.
| 6
|
NIv2
|
task071_abductivenli_answer_generation
|
zs_opt
|
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] |
Given a part of privacy policy text, identify the purpose for which the user information is collected/used. The purpose should be given inside the policy text, answer as 'Not Specified' otherwise
Input: Consider Input: The site collects your demographic information for an unspecified purpose. Collection happens when you explicitly provide information on the website, and your data is identifiable.
Output: Unspecified
Input: Consider Input: A user with an account can opt in for the use of contact information by the site, which uses it for an additional (non-basic) service or feature.
Output: Additional service/feature
Input: Consider Input: A user's IP address and device IDs is retained for a stated period of time to fulfill an unspecified purpose.
|
Output: Not Specified
| 2
|
NIv2
|
task683_online_privacy_policy_text_purpose_answer_generation
|
fs_opt
|
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] |
Teacher:In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to compose your answer when possible.
Teacher: Now, understand the problem? Solve this instance: story: Joe woke up to see that his car was snowed in. Joe put on his warm cloths to go outside. Joe went outside and got his snow shovel. Joe worked for a long time shoveling the snow. Joe was proud when he saw he had cleared his car out.
selected sentence: Joe went outside and got his snow shovel.
Student:
|
Joe sees his car is snowed in >Causes/Enables> Joe goes outside and gets his snow shovel
| 6
|
NIv2
|
task614_glucose_cause_event_detection
|
zs_opt
|
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] |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Ex Input:
אז בואו ניקח את כל הילדים, נשים אותם בלולים, ונכריח אותם לשחק חודשים. הם כולם יהיו גאונים וילכו להרווארד. "" איך אתה מונע מאנשים לפעול כך בקשר לנתונים שאתה מפתח?
Ex Output:
إذاً دعونا نضع الأطفال في حظائر و نتركهم يلعبوا لعدة أشهر. سيصبحوا جميعا عباقرة و يرتادوا هارفرد. "" كيف تمنع الناس من التصرف بهذه الطريقة بناءا على المعلومات التي تقوم بتطويرها ؟
Ex Input:
לכן אנשים בנו סביב זה עסקים.
Ex Output:
ولهذا السبب ابتكر الناس هذا المشروع.
Ex Input:
ואני אמרתי: "" מו, אתה צודק. אנחנו צריכים - לא, אבל אנחנו כבר עושים זאת!
Ex Output:
|
و قلت ، "" مو ، أنت على حق. إننا... كلا ، ولكننا نفعل ذلك من قبل
| 1
|
NIv2
|
task1237_ted_translation_he_ar
|
fs_opt
|
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] |
Q: In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
15 ounces kidney beans, 15 ounces chickpeas, 34 cup fat-free Italian salad dressing, 5 chopped baby carrots, 12 diced onion, 1 minced garlic clove, 2 diced celery ribs, 5 chopped romaine lettuce leaves, 12 ounces tuna in water, 2 small chopped tomatoes
A:
|
kidney beans, chickpeas, Italian salad dressing, baby carrots, onion, garlic, celery ribs, romaine lettuce leaves, water, tomatoes
| 7
|
NIv2
|
task570_recipe_nlg_ner_generation
|
zs_opt
|
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] |
Part 1. Definition
In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "against". If there's no causal relationship between the two, answer with "none".
Part 2. Example
Process: -Forest fires burn forests -The animals living in the forest have fewer places to hide -Predators can now find their prey eaiser -Birds will fly away from the area -Waters warm up which hurts the fish swimming in them.
Question: What is the effect of people are less careful about putting out their campfires on a greater negative effect on animals.?
Answer: for
Explanation: If people are less careful about putting out campfires, it will result in a greater negative effect on animals.
Part 3. Exercise
Process: -People separate different materials to be recycled -The recyclable materials go to a recycling center -The recycling center further separates the materials -Large equipment compacts the materials into bales -The recyclable materials are shipped to other recycling centers -The other recycling centers further process the materials that center specializes in -The materials are purchased by manufacturers -The manufacturers process the recycled materials the same way they would use new materials -The recycled materials are incorporated into new products.
Question: What is the effect of cheaper recycled materials on made into recycled products.?
Answer:
|
for
| 7
|
NIv2
|
task1727_wiqa_what_is_the_effect
|
fs_opt
|
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] |
Instructions: Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Input: Igbo sentence: Nzube anyị bụ "Mma Health, Fairer Health.
Output:
|
Our aim is "Better Health, Fairer Health."
| 3
|
NIv2
|
task449_opus_paracrawl_ig_en_translation
|
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.
Example Input: Sentence 1: Marlene was late for work that evening.
Sentence 3: She met a few patrons who asked her for beers
Sentence 4: And when she arrived at the counter, she saw another barmaid there
Sentence 5: Marlene had made the mistake of coming on her day off
Option 1: When she arrived there was no one in the bar.
Option 2: When she arrived there was already a big crowd in the bar.
Example Output: Option 2
Example Input: Sentence 1: Bob had used Progressive's Snapshot device on his car.
Sentence 3: Bob had to mail the device back to Progressive
Sentence 4: Progressive then mailed it right back to Bob
Sentence 5: Bob put it back on his car and vowed to find a better provider
Option 1: When he changed policies, he previous results counted.
Option 2: When he changed policies, he previous results didn't count.
Example Output: Option 2
Example Input: Sentence 1: Fred was a dog owner who was thinking of adopting another dog.
Sentence 3: The idea was to see how well his dog got along with any new ones
Sentence 4: Fred found a mutt who seemed to hit it off with his current dog
Sentence 5: He brought home the mutt and they lived happily ever after
Option 1: His girlfriend convinced him to get a cat instead.
Option 2: He went down to the humane society with his current dog in tow.
Example Output:
|
Option 2
| 3
|
NIv2
|
task065_timetravel_consistent_sentence_classification
|
fs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
A text is given in Telugu. Translate it from the Telugu language to the Urdu language. The translation must not omit or add information to the original sentence.
دی ورلڈز موسٹ فیمس ٹائیگر
Output:
|
ది వరల్డ్ స్ మోస్ట్ ఫేమస్ టైగర్
| 1
|
NIv2
|
task1038_pib_translation_urdu_telugu
|
zs_opt
|
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] |
In this task, you will be presented with a multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.
Q: حاصل جمع دو عدد ۵۷ است، اگر عدد بزرگ تر سه واحد از سه برابر عدد کوچکتر کمتر باشد عدد بزرگ تر چقدر است؟ <sep> (A) ۲۰ (B) ۴۲ (C) ۱۵ (D) ۳۷
A:
|
B
| 4
|
NIv2
|
task473_parsinlu_mc_classification
|
zs_opt
|
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] |
Definition: You are given a statement written in Bengali. 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 .
Input: Statement: রায়পুরার চতুর্দিকে <MASK>, রহ্মপুত্র, আড়িয়াল খাঁ ও কাঁকন নদী বয়ে গেছে। নদ-নদী বিধৌত এই উপজেলাটি রাজধানী ঢাকা ও নরসিংদী জেলা সদরের খুব সন্নিকটে অবস্থিত। এই উপজেলাটি রাজধানী ঢাকা থেকে ৭৯ কিলোমিটার এবং জেলা সদর নরসিংদী থেকে ৩২ কিলোমিটার পূর্বদিকে অবস্থিত। এর আয়তন ৩১২.৫০ বর্গ কিলোমিটার। তন্মধ্যে, জলাশয় ও প্রশস্ত নদী ৪৩.৭৭ বর্গ কিলোমিটার।
Option A: মেঘনা
Option B: রহ্মপুত্র
Option C: ইউনিয়ন
Option D: নরসিংদী-৫
Output:
|
মেঘনা
| 2
|
NIv2
|
task945_wiki_cloze_bn_multiple_choice_question_answering
|
zs_opt
|
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] |
Detailed Instructions: In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that define what the this logical operator does) of each logical operator between '{}' parenthesis. Here are the definitions of logical operators that you can use while generating command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Q: select the row whose first store record of all rows is 3rd minimum . the country record of this row is spain .
A:
|
eq { hop { nth_argmin { all_rows ; first store ; 3 } ; country } ; spain }
| 9
|
NIv2
|
task210_logic2text_structured_text_generation
|
zs_opt
|
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-0.3164066672325134,
0.23717138171195984,
-0.5675384402275085,
0.32155340909957886,
-0.1945638358592987,
0.49025535583496094,
-0.4288201332092285,
-0.04902505874633789,
-0.41232508420944214,
1.2428293228149414,
-0.43125736713409424,
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0.11797269433736801,
0.37295836210250854,
0.17277458310127258,
0.16000288724899292
] |
Detailed Instructions: Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second entity) is in a part-of relationship with its holonym (i.e., first entity).
See one example below:
Problem: Entity 1: plant
Entity 2: leaf
Solution: yes
Explanation: The answer is correct. Because the leaf is part of the plant. Therefore, here leaf is meronym and the plant is holonym.
Problem: Entity 1: horse
Entity 2: chemical
Solution:
|
no
| 4
|
NIv2
|
task472_haspart_classification
|
fs_opt
|
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] |
In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Example Input: Like Schindler 's List , The Grey Zone attempts to be grandiloquent , but ends up merely pretentious -- in a grisly sort of way .
Example Output: NEG
Example Input: A surprisingly sweet and gentle comedy .
Example Output: POS
Example Input: Succeeds only because Bullock and Grant were made to share the silver screen .
Example Output:
|
POS
| 3
|
NIv2
|
task363_sst2_polarity_classification
|
fs_opt
|
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] |
Definition: In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
Input: who was the president of the united states in 1954
Output:
|
Dwight D. Eisenhower
| 2
|
NIv2
|
task582_naturalquestion_answer_generation
|
zs_opt
|
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] |
Given the task definition and input, reply with output. In this task, you are given two sentences in the English language (Sentence 1 and Sentence 2). Your task is to identify the connecting word between the two sentences.
Sentence 1:One story ( rejected by Daly ) claims that he won the $50,000 in a poker match . Sentence 2:However , Daly 's favorite game was Gin rummy .
|
however
| 5
|
NIv2
|
task563_discofuse_answer_generation
|
zs_opt
|
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] |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
Q: همه ی این فیلم ها ، همه ی این فیلم های مستند را برای تعداد بسیار کمی تماشاگر ساختم.
A:
|
Hice todas esas películas, todos esos documentales para un público muy reducido.
| 9
|
NIv2
|
task1267_ted_translation_fa_es
|
zs_opt
|
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] |
Instructions: In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should have natural language and formal form. The output sentence should not be a colloquial form of the input sentence. The generated output should be in natural language which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. The output should keep those values intact and include the quotation marks around them as well. 3) Numbers and fully capitalized words like SEPTEMBER, or 10 HOURS *SHOULD NOT* be translated. Keep them as they are in the translations. 4) Do not localize measurement units like miles to kilometers during your translation. 5) Note the input is in sentence case except for special placeholders. Do the same in your translations.
Input: That's Mike, Mike comes out from Mississippi.
Output:
|
Mike nìyẹn, Mike jáde síta láti Mississippi.
| 3
|
NIv2
|
task1619_menyo20k-mt_en_yo_translation
|
zs_opt
|
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] |
Teacher:In this task, you are given a sentence in Persian, and your task is to translate it into English.
Teacher: Now, understand the problem? Solve this instance: عکس توسط پان شی یی در ویبو منتشر شده است.
Student:
|
Photo uploaded by Pan Shiyi to Weibo.
| 6
|
NIv2
|
task662_global_voices_fa_en_translation
|
zs_opt
|
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] |
TASK DEFINITION: In this task, you need to count the number of times the given letter appears in the given sentence.
PROBLEM: Sentence: 'there are two men sitting on a couch playing video games'. Find frequency of the letter 'v'
SOLUTION: 1
PROBLEM: Sentence: 'a little dog on a table while a dog groomer cuts its fur'. Find frequency of the letter 'r'
SOLUTION: 3
PROBLEM: Sentence: 'paper plates hold fruit salad and two kinds of cake'. Find frequency of the letter 'd'
SOLUTION:
|
4
| 8
|
NIv2
|
task113_count_frequency_of_letter
|
fs_opt
|
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] |
Q: In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Es el resultado del reciente conflicto y de los años de negligencia y falta de mantenimiento que lo precedieron.
A:
|
This results both from the recent conflict and from the years of neglect and lack of maintenance that preceded it.
| 7
|
NIv2
|
task531_europarl_es_en_translation
|
zs_opt
|
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] |
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Q: L'angoscia di avere un infarto è una tristezza del destino.
A: L'effetto di un attacco di cuore è una tristezza di dolore.
****
Q: Automobili e altri veicoli possono essere forniti lì.
A: Le auto e le altre targhe possono essere lasciate lì.
****
Q: Una nuova scommessa da un autore favorito ti farebbe desiderare di spendere soldi.
A:
|
Un nuovo libro da un autore favorito ti farebbe desiderare di spendere soldi.
****
| 4
|
NIv2
|
task408_mickey_it_sentence_perturbation_generation
|
fs_opt
|
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] |
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of your answer, that is, you should sum the first members of each inner list together and put it as the first element of the list, then sum the second members of each inner list together and put it as the second element of your list, etc. The output should be a list of numbers with the same length as the longest inner list.
Q: [[-52, 86, -23, -24, 49, 53, 90], [-74, 84, 39]]
A: [-126, 170, 16, -24, 49, 0, 53, 90]
****
Q: [[-76, -100, 15, -19], [-26, 64, -51]]
A: [-102, -36, -36, -19]
****
Q: [[-80, -63, 95, -4, -65, -63, -74, 32], [27, 54, 71, -4, -79, -51, 63]]
A:
|
[-53, -9, 166, -8, -144, -114, -11, 32]
****
| 4
|
NIv2
|
task122_conala_list_index_addition
|
fs_opt
|
[
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] |
Part 1. Definition
In this task, you are given reviews written about the books in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
Part 2. Example
অসাধারণ একটি বই, লজিকাল স্কিল ডেভেলপমেন্ট এর জন্যে অতুলনীয়..
Answer: positive
Explanation: Here the reviewer seems to love the logical development of the storyline in the book, so this should be classified as positive.
Part 3. Exercise
লেখনি ভাল লাগেনি। ব্যঙ্গমা, ব্যঙ্গমি! Seriously?
Answer:
|
negative
| 7
|
NIv2
|
task1497_bengali_book_reviews_sentiment_classification
|
fs_opt
|
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] |
Given the task definition and input, reply with output. Given a sentence in Japanese, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
イタリアの教会St. Giovanni Boscoは、St. John Boscoにちなんで名付けられました。
|
이탈리아 성 지오 바니 보스코 교회 (St. Giovanni Bosco Church)는 성 요한 보스코 (St.
| 5
|
NIv2
|
task814_pawsx_japanese_korean_translation
|
zs_opt
|
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] |
Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
--------
Question: वार्तालाप करने के लिए एक जीभ की ज़रूरत है ।
Answer: पैर रखने के लिए जीभ की ज़रूरत होती है ।
Question: आप एक घोड़े में चलाने के लिए चाहते हैं तो आप अपनी आंखों की तरह चाहिए.
Answer: यदि आप लैपटॉप में चलाना चाहते हैं तो आपको अपने टर्मिनल को खोलना चाहिए.
Question: खाना खाने का असर नियमित होता जा रहा है ।
Answer:
|
भोजन के खाने का प्रभाव पूर्ण हो रहा है ।
| 7
|
NIv2
|
task407_mickey_hi_sentence_perturbation_generation
|
fs_opt
|
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] |
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; note that the selected choices may fit into the story at any point. Indicate your selected choices in order, i.e., as 'ab'/'bc'/'ac' and not as 'ba'/'ca'/'cb'. If options are equally plausible, pick the ones that make more sense.
Input: Consider Input: Title: My sister-in-law got them from her work. I asked my friend Jack, who smoked, if he wanted them. Jack said he had to stop smoking for health reasons. Choices: a. I do not smoke cigars. b. It will be a sad photo for her coworkers. c. I received two cigars yesterday.
Output: ac
Input: Consider Input: Title: He found a wallet online for a good price. He paid for the wallet with a credit card. The wallet came a week later. Choices: a. Bob was looking for a new wallet. b. He had lost his old wallet. c. Laughing teenagers were running across the street.
Output: ab
Input: Consider Input: Title: Tim's entire family was going on vacation to Hawaii. Their flight was scheduled for 8 o'clock in the morning. Getting all those people ready for the shuttle at 5am was tricky. Choices: a. I did not see them bloom after that. b. But somehow they made it there with plenty of time to spare. c. This included his aunts, uncles and all of his cousins.
|
Output: bc
| 2
|
NIv2
|
task221_rocstories_two_choice_classification
|
fs_opt
|
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] |
Teacher:We would like you to assess the QUALITY of each of the following argument (discussing Gun Control) 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 gun control. An invalid argument is a phrase that cannot be interpreted as an argument or not on the topic of gun control.
Teacher: Now, understand the problem? Solve this instance: Since they've never done this it's only safe to assume that they hate absolutely any kind of gun and want them all banned outright without exception.
Student:
|
Valid
| 6
|
NIv2
|
task150_afs_argument_quality_gun_control
|
zs_opt
|
[
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] |
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. For that you can use the Context; however, Context is not provided in all the inputs. Also, in some inputs, there can be zero emotion; for that return 'None'.
Context: Allie was playing with her toys one day. Then she noticed a new kid on the block. Allie was happy to see that.
Sentence: She waved at her.
Character: Allie
happy
Context: Jerry was focused.
Sentence: It was his first cross country race.
Character: Jerry
excited
Context: None
Sentence: The man called for his dog.
Character: Animal control
|
None
| 0
|
NIv2
|
task293_storycommonsense_emotion_text_generation
|
fs_opt
|
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] |
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Event:PersonX sacrifices PersonX's ___ for the sake. Intent: 1) to get there faster. XEmotion: 1) fast
|
thankful
| 0
|
NIv2
|
task924_event2mind_word_generation
|
zs_opt
|
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] |
A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
Example input: તેમણે અમેઠીમાં કલાશ્નિકોવ એસોલ્ટ રાયફલનુ ઉત્પાદન કરનાર સંયુક્ત સાહસ ઇન્ડો-રશિયન રાયફલ્સ પ્રા
Example output: مشترکہ وینچر انڈو-روسی رائفلز amethi میں tendorov حملہ Rayfalenu کی پیداوار
Example explanation: Correct translation for given sentence. Input sentence means 'Joint Venture Indo-Russian Rifles Producing Tendarov Assault Rayfillenu in Amethi' which is the same as the output sentence.
Q: બે દેશો વચ્ચે કરવામાં આવેલી આ પહેલ હસ્તાક્ષર કરાયેલા કરારની શરતો મુજબ રહેશે અને આ સમજૂતિ કરાર અમલમાં રહે ત્યાં સુધી સતત પ્રક્રિયા ચાલુ રહેશે.
A:
|
اس مفاہمت نامے میں کوئی مالی مضمرات شامل نہیں ہیں۔ اس سلسلے میں تحقیق کرنے، تربیتی کورس کرنے، کانفرنسوں میٹنگوں کے انعقاد وغیرہ کیلئے آیوش کی وزارت کی موجودہ منصوبہ بند اسکیموں کے بجٹ سے ہی رقم مختص کی جائے گی۔
| 3
|
NIv2
|
task1001_pib_translation_gujarati_urdu
|
fs_opt
|
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] |
Instructions: In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Input: Passage: Jeepers Creepers 3 -- The next day, Addison says goodbye to Buddy before he leaves for a high school basketball game in the same bus that is attacked by the Creeper in the second movie. Twenty-three years later, Trish Jenner is seen reading a letter she presumably wrote on a computer calling for people to fight against the Creeper when it returns, and vows to get revenge on The Creeper for the death of her brother, Darry.
Question: does the creeper die in jeepers creepers 3
Output:
|
0
| 3
|
NIv2
|
task1661_super_glue_classification
|
zs_opt
|
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-0.5438543558120728,
0.2682729661464691
] |
Detailed Instructions: In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? How might this help other research or researchers?), Purpose (What specific things do the researchers want to do? What specific knowledge do the researchers want to gain? What specific hypothesis do the researchers want to test?), Method (How did the researchers do the work or find what they sought? What are the procedures and steps of the research?), or Finding (What did the researchers find out? Did the proposed methods work? Did the thing behave as the researchers expected?).
Q: followed by active immunization with HBsAg-HBsAb ( mYIC ) was evaluated.
A:
|
method
| 9
|
NIv2
|
task1163_coda19_section_classification
|
zs_opt
|
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] |
Detailed Instructions: You are given a statement written in Telugu. 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 .
Problem:Statement: ఈ <MASK> మూసీ నది ఒడ్డున నిర్మించబడింది. ప్రస్తుతం ఈ ప్రదేశం హైదరాబాదు నగరం శివార్లలో ఉంటుంది. పర్యాటక శాఖ ఈ బరాదారిని ఏడవ గోల్కొండ సుల్తాన్ అయిన అబ్దుల్లా కుతుబ్ షా రాజ్యం నాటిదని ఆపాదించారు. ఆయన తనకిష్టమైన వేశ్య అయిన తారామతి పేరు మీద సరాయ్ తారామతి బరదారి అని నామకరణం చేశాడని అంటారు.
Option A: గోల్కొండ
Option B: శేరిదగ్గుమిల్లి
Option C: బరాదారి
Option D: హైదరాబాదు
Solution:
|
బరాదారి
| 8
|
NIv2
|
task954_wiki_cloze_te_multiple_choice_question_answering
|
zs_opt
|
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] |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
[Q]: Sentence 1: Several people seated around a table in a large room. Sentence 2: People are seated at a table.
[A]: The people are seated for a meeting.
[Q]: Sentence 1: A woman in a black stocking hat and black leather jacket, talking to a man with a beard in a black fleece jacket. Sentence 2: A woman is talking to a man.
[A]: A couple discusses life
[Q]: Sentence 1: A dog leaps away with a ball in its mouth. Sentence 2: A dog leaps
[A]:
|
The dog is brown
| 5
|
NIv2
|
task184_snli_entailment_to_neutral_text_modification
|
fs_opt
|
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Part 1. Definition
In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
Part 2. Example
In one work this author details the life of a tomb-maker who makes extra money by playing the organ at an insane asylum, while another of his novels sees Swartz give a refugee proper documentation only after he tells him his life story in the title Portuguese city. In addition to The Black Obelisk and The Night in Lisbon, he also wrote about Robert and Otto selling their auto workshop and visiting Patrice in a Swiss tuberculosis sanatorium in his novel The Three Comrades, while the turbulent life of the German surgeon Ravic is told in The Arch of Triumph. Another of his novels, The Road Back, is thought to be a sequel to his most famous book, in which the patriotic teacher Kantorek convinces Paul Bumer and his friends to join the Germany Army during World War I. For 10 points, name this German author who wrote All Quiet on the Western Front.
Answer: Literature
Explanation: The text is talking about an author and their works, so it belongs to theliterature category.
Part 3. Exercise
This ruler's physician Moses Hamon got him to denounce blood libels against Jews, and he had his concubine Mahidevran or Gulbahar banished for beating his wife. This ruler died of natural causes during the Siege of Szigetvar, at which a tiny Croatian force under Nikola Zrinski delayed his army of 100,000 for over a month. This ruler's Code of the Rayas lifted many of his subjects from serfdom, and together with his Grand Mufti Ebussuud he brought Qanun closer to Sharia. At the Battle of Preveza, Hayreddin Barbarossa won a victory which secured this man's domination of the eastern Mediterranean, and he appointed John Zapolya King of Hungary after the death of Louis II at the Battle of Mohacs. The husband of Roxelana, for 10 points, name this son of Selim the Grim, an Ottoman Sultan of the sixteenth century known as "the magnificent".
Answer:
|
History
| 7
|
NIv2
|
task521_trivia_question_classification
|
fs_opt
|
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] |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Persian.
Input: This solution was initially designed for the Chinese market, but now it's selling like hotcakes in the U.S. and Europe, where hospitals are pressured to deliver quality care at lower cost.
Output:
|
این راهکار ابتدا برای بازار چین طراحی شد ، ولی اکنون به سرعت در حال فروش در امریکا و اروپاست ، جایی که بیمارستان ها ملزم به ارائه بهترین کیفیت با کمترین هزینه اند.
| 2
|
NIv2
|
task1093_ted_translation_en_fa
|
zs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
What was the name of the hiker that died trying to climb the mountain with an elevation of 7,367m ?
, Word: trying
, POS tag: DT
Output:
|
False
| 1
|
NIv2
|
task346_hybridqa_classification
|
zs_opt
|
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] |
Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
One example is below.
Q: Question: Are group 2 innate lymphoid cells ( ILC2s ) increased in chronic rhinosinusitis with nasal polyps or eosinophilia?
Answer: As ILC2s are elevated in patients with CRSwNP, they may drive nasal polyp formation in CRS. ILC2s are also linked with high tissue and blood eosinophilia and have a potential role in the activation and survival of eosinophils during the Th2 immune response. The association of innate lymphoid cells in CRS provides insights into its pathogenesis.
A: yes
Rationale: The answer clearly says that ICLSs are elevated, which is exactly what the question asks. Hence, the output will be yes and it is correct.
Q: Question: Is the long head of the biceps tendon a suitable cell source for tendon tissue regeneration?
Answer: The TDC of the LHB seems to be the most suitable cell source. Further research is necessary to find out if the results can be transferred to an in vivo model. The new collagen I scaffold seems to offer an opportunity to combine good biocompatibility and mechanical strength.
A:
|
yes
| 9
|
NIv2
|
task846_pubmedqa_classification
|
fs_opt
|
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] |
Definition: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Input: On the twelfth day Ahira the son of Enan, prince of the children of Naphtali, offered:
Output:
|
و بجهت ذبیحه سلامتی، دو گاو و پنج قوچ و پنج بز نر و پنج بره نرینه یک ساله. این بودهدیه اخیرع بن عینان.
| 2
|
NIv2
|
task655_bible_en_fa_translation
|
zs_opt
|
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] |
Definition: You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
Input: System Reference: ristorante parma near marina cow hollow offers cheap food.
Original Reference: ristorante parma is cheap and is near marina cow hollow.
Output:
|
1
| 2
|
NIv2
|
task1186_nne_hrngo_classification
|
zs_opt
|
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Teacher:Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
Teacher: Now, understand the problem? Solve this instance: Context: Dihydrofolate reductase (DHFR) and thymidylate synthase (TS) are crucial enzymes in DNA synthesis. In alveolata both enzymes are expressed as one bifunctional enzyme.', "Loss of this essential enzyme activities after successful allelic assortment of knock out alleles yields an auxotrophic marker in ciliates. Here the cloning, characterisation and functional analysis of Tetrahymena thermophila's DHFR-TS is presented. A first aspect of the presented work relates to destruction of DHFR-TS enzyme function in an alveolate thereby causing an auxotrophy for thymidine. A second aspect is to knock in an expression cassette encoding for a foreign gene with subsequent expression of the target protein.
Answer: This system avoids the use of antibiotics or other drugs and therefore is of high interest for biotechnological applications.
Student:
|
Does the bifunctional dihydrofolate reductase thymidylate synthase of Tetrahymena thermophila provide a tool for molecular and biotechnology applications?
| 6
|
NIv2
|
task845_pubmedqa_question_generation
|
zs_opt
|
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Given the task definition and input, reply with output. In this task, you're given a passage that represents a legal contract or clause between multiple parties, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible.
EXHIBIT 10.9 DISTRIBUTOR AGREEMENT This Distributor Agreement (the 'Agreement') dated [*] is between Lucid Inc., a New York corporation, having a principal place of business at 2320 Brighton Henrietta T/L Road, Rochester NY 14623 And [*] ('Distributor') For good and valuable consideration, the parties hereby agree: 1. Appointment A) Lucid appoints the Distributor and the Distributor accepts appointment as an exclusive authorized Lucid Distributor. The Distributor will be entitled to purchase certain Lucid products and resell them to End User customers within the following market segments:- hospital and medical research centres, including but not limited to dermatology, pathology, plastic surgery and mohs surgery departments, clinical research centres, small animal research facilities, cosmetic and cosmeceutical companies. B) The relationship of the parties under this Agreement is that of independent contractors and nothing contained herein shall be construed as creating any partnership, joint venture or agency relationship between the Distributor and Lucid. Under no circumstances shall any employees of one party be deemed the employees of the other for any purpose. The Distributor shall not have the authority to assume or create any obligation, or make any representation of any kind on behalf of Lucid. 2. Term A) The initial term of this Agreement shall be three (3) calendar years from the Agreement date. After the initial term, unless terminated, this Agreement will automatically renew for periods of one (1) calendar year each. 3. Products A) Lucid agrees to sell the following products to the Distributor: - VivaScope in-vivo Confocal Microscope Model VS1500 VivaScope ex-vivo Confocal Microscope Model VS2500 VivaSCOPE in-vivo Confocal Microscope Model VS3000 B) Further products manufactured by Lucid will be discussed with the Distributor and by agreement will be added to this Agreement.
4. Territory A) The Distributor is appointed as an exclusive Distributor within the following territories: [*]. B) The Distributor agrees to act as a Distributor for Lucid within the above Territories and not to solicit any sales of the Product(s) outside the above Territories. 5. Duties of The Distributor A) The Distributor will use his best efforts to actively promote and sell the Product to all relevant End Users within all relevant market segments within the Territory. B) The Distributor agrees to undertake detailed sales demonstrations of the Product(s) to potential End Users within all relevant market segments within the Territory. C) The Distributor agrees to allow the End User to undertake sales evaluations (trials) of the product(s), using the Distributor's own Demonstration Equipment as necessary. D) The Distributor agrees to promote the Product(s) at all relevant trade shows, seminars and exhibitions held within the Territory. Lucid may, at it's discretion, and in co-ordination with the Distributor when Lucid deems it necessary, at its own expense and in its own name, engage in advertising activities of or hold or participate in exhibitions of the Product in the Territory. E) The Distributors will not develop, manufacture or sell any equipment or service, which in any way can be considered to be competitive to the equipment or service offered by Lucid to the Distributor as Product. Lucid reserves the right to inform the Distributor from time to time of specific products and companies that Lucid considers to be competitive. A competitive product includes, but is not limited to, any product that would infringe any claim of any Lucid owned or licensed patent issued or pending worldwide, whether or not corresponding patent claims are in force in the Distributors territory or the sale of which would restrict sale of Lucid product. F) The Distributor will provide to the End User, full installation and customer training of the Product(s).
6. Personnel A) The Distributor will employ as a minimum one full-time Lucid dedicated Product Manager sales professional, giving one hundred per cent of their time to the promotion and sale of Lucid products. 7. Demonstration Equipment A) The Distributor agrees to purchase demonstration products as new products are released subject to special pricing. The Distributor agrees to use the demonstration equipment for the duties as noted in 5 A, B, C, D as above and not to re-sell this demonstration equipment to End Users. 8. Training A) The Distributor agrees to have all sales professionals employed on Lucid products undergo sales training at an agreed location and to a level approved by Lucid. B) The Distributor agrees to allow Lucid to accompany the Distributor sales professionals during sales calls within the Territory as required. C) The Distributor agrees to allow Lucid to participate in sales meetings for training purposes, held within the Distributor's facility. 9. Information A) The Distributor will supply to Lucid, on a monthly basis, a detailed listing of all sales prospects within the Territory. A sales prospect is considered by Lucid to be any End User who has expressed an interest in purchasing Lucid products. B) The Distributor agrees to supply to Lucid on a monthly basis a detailed sales forecast, highlighting potential order dates of product. C) The Distributor agrees to supply to Lucid, from time to time, with any competitive data emanating from the Territory. D) The Distributor agrees to supply Lucid, on an annual basis, with a detailed sales plan for the Product(s), broken down by sales for each individual country within the Territory. Any country or part of the territory that does not meet the sales expectations as forecasted by the Distributor will be subject to review by Lucid and may subsequently be removed from the Territory. The first sales plan will be presented to Lucid within three (3) months of the signing of this agreement and annual sales plans will be due on November 30 each year.
E) The distributor agrees to keep Lucid informed of details of forthcoming and installed units together with customer details including customer name, address and email details at a level sufficient to fulfil all requirements of US Government Export Administration Regulations and Lucid quality audits. 10. Sub-Distribution The Distributor shall not be entitled to engage sub-distributors or any other third party as his sub-agent for sales of the Product, without having obtained Lucid's prior written approval. Such approval shall not be unreasonably withheld. 11. Intellectual Property A) Lucid is the sole owner of all trademark symbols and logos under which the products will be sold. Lucid agrees that the Distributor may use the appropriate trademarks to promote the sale of products in the Territory. Such use is only with Lucid's permission and must be related to the sale of Lucid products. The Distributor acquires no rights to Lucid trademarks by selling Lucid products. The Distributor may not use Lucid trademarks, symbols or logos as part of its business or corporate names. B) The Distributor will assist Lucid in protecting Lucid's patents, copyright, trademarks and logos. The Distributor will inform Lucid of any known or suspected violations of Lucid's patents, copyright, trademarks, symbols and logos. If Lucid requests, the Distributor will assist in protecting such intellectual property from infringement. 12. Duties of Lucid A) Lucid will supply to the Distributor, free of any charge, reasonable quantities of Product datasheets. B) Lucid will supply to the Distributor, free of charge, images of skin in vivo. Lucid will make every reasonable effort to supply images of skin to the Distributor, which are required by the Distributor for a particular End User application. C) Lucid will make available free of charge to the Distributor the services of at least one suitable sales professional. D) Lucid will make available free of charge to the Distributor the services of at least one Clinical Research Engineer. This person will normally reside at Lucid's USA Headquarters but may from time to time assist the Distributor within the Territory.
E) Lucid will make its facility in the USA available, from time to time, to the Distributor and the Distributor's sales force for sales training purposes. Lucid will also offer this service to the Distributor for the introduction of potential End Users from the Territory. 13. Prices, Terms & Conditions of Sale A) The Distributor may purchase Products from Lucid at the price published by Lucid, from time to time, in the International Distributor price list (attached). Lucid agrees to allow the Distributor a discount of thirty (30) per cent against the published International Distributor price list. B) All orders from the Distributor to Lucid will be subject to Lucid's standard terms and conditions of sale. C) All prices are quoted by Lucid in US Dollars and are sold Ex Works, becoming the Distributor's property when despatched from the Lucid facility. 14. Minimum Purchase Obligation The Distributor agrees to purchase from Lucid minimum agreed quantity of product in the first, second and third years of the Agreement, excluding demonstration product. These quantities to be agreed by both parties in the initial detailed sales plan noted in clause 9D and amended with further agreement in subsequent annual sales plans 15. PAYMENT TERMS The Distributor agrees to abide by Lucid's standard payment terms, which are as follows; One Hundred (100) per cent of order value by sixty ( 90 ) day irrevocable letter of credit when order is placed on Lucid. 16. TERMINATION A) Either party may terminate this agreement by giving written Notice to the other party if: i) The other party fails to perform or satisfy any of the conditions, covenants or obligations of this Agreement. ii) The other party files or has filed against it, a petition seeking relief under any bankruptcy, insolvency, reorganisation, moratorium, liquidation or similar law affecting creditors' rights B) In addition, Lucid may terminate this agreement by giving the Distributor Written Notice if there is any change of control, ownership or management of the Distributor.
C) Either party may terminate this agreement by providing Ninety days Written Notice. 17. EFFECT OF TERMINATION A) Upon the termination of this Agreement: 1. The Distributor shall terminate any registration it has made as a Lucid Distributor. 2. Distributor will immediately return any samples, sales literature, promotional materials and other documents supplied to the Distributor free of charge from Lucid. 3. Any right to use Lucid patents, copyrights, trademarks, symbols and logos shall immediately cease. B) If this Agreement is terminated Lucid shall not be liable for any incidental, indirect; special punitive of consequential damages of any kind, including any perceived or real market development costs. 18. Incident and Traceability Reporting A) DISTRIBUTOR will IMMEDIATELY report via telephone communication to Lucid any incidents that involve the use of PRODUCTS sold by the DISTRIBUTOR to end users that affect patient safety or well-being (an INCIDENT). Such oral incident reporting will be followed immediately by a written incident report that documents the detailed conditions that resulted in the INCIDENT and Distributor shall thereafter co-operate with Lucid in the investigation of any and all conditions that led to, or resulted from the INCIDENT. B) DISTRIBUTOR will routinely, but not less than annually, report in writing to Lucid, documenting the end users to which PRODUCTS have been sold, including the address, telephone number and name of a person who is the primary emergency contact. Lucid will use this information in the event of Lucid issuing a product recall of the PRODUCT for safety or other reasons. If such an event occurs, and upon Lucid's request, the DISTRIBUTOR will immediately provide Lucid with the names, addresses, telephone numbers and emergency contact personnel of any end user sites not previously reported to Lucid. 19. LIMITATION OF LIABILITY A) Lucid does not guarantee delivery of Product by any particular date. If Lucid accepts Distributor's order and fails to deliver ordered products, Distributors sole remedy will be limited to refund of money paid to Lucid for any undelivered products. B) Lucid will not have any liability or responsibility to Distributor or any other person or entity for any consequential, indirect, special, punitive or incidental damages or lost profits, whether foreseeable or unforeseeable, based on
claims of Distributor or Distributor's customers (including but not limited to, claims for loss of data, goodwill, profits, use of money or use of product, interruption in use or availability of data stoppage or other work or impairment or assets) arising out of breach or failure of express or implied warranty, breach of contract, misrepresentation, negligence, strict liability in tort or otherwise, except only in the case of death or personal injury where and to the extent that applicable law requires such liability. In no event will the aggregate liability incurred by Lucid in any action or proceeding exceed the total amount actually paid to Lucid by Distributor for the purchase of the products that actually caused the damage or loss. 20. Governing Law A) This Agreement shall be governed by and interpreted in accordance with the laws of the State of New York, USA without regard to conflict of laws principles. 21. NOTICE A) All notices required herein (NOTICE) shall be given in English language. Notices must be sent postage pre-paid, and (a) delivered personally against written receipt (b) transmitted via facsimile or (c) sent by nationally recognised overnight courier service, or (d) sent via first class certified mail, return receipt requested, to the address listed above. Any change of addresser fax number must be designated in writing and served in accordance with this Section. Notice shall be effective (a) upon receipt if personally delivered (b) upon confirmation of transmission if sent via facsimile and (c) two (2) business days after deposit with the courier or an official depository of the US Post Office, if sent via recognised overnight courier of via Certified Mail, as the case may be. 22 ENTIRE AGREEMENT: A) This Agreement, including the Price List attached hereto, as amended from time to time, constitutes the entire understanding between the parties with respect to the subject matter of this Agreement and supersedes and replaces all previous proposals, both oral and written, negotiations, representations, commitments, writings, contracts, agreements and all other communications between the two parties. Signatures on the next page
IN WITNESS WHEREOF, the parties have duly executed this Agreement on the date first above written.
LUCID Inc. [*] By By Marcy K. Davis-McHugh [*] TITLE TITLE: Corporate Vice President
DATE [*] DATE: [*]
SIGNATURE SIGNATURE
Question: Highlight the parts (if any) of this contract related to Cap On Liability that should be reviewed by a lawyer. Details: Does the contract include a cap on liability upon the breach of a party’s obligation? This includes time limitation for the counterparty to bring claims or maximum amount for recovery.
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If Lucid accepts Distributor's order and fails to deliver ordered products, Distributors sole remedy will be limited to refund of money paid to Lucid for any undelivered products.
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NIv2
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task597_cuad_answer_generation
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zs_opt
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] |
Detailed Instructions: 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: leather
A:
|
can be cured by salt during the winter
| 9
|
NIv2
|
task080_piqa_answer_generation
|
zs_opt
|
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] |
Given the task definition, example input & output, solve the new input case.
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
Example: Кому они так необходимы, эти страдания?» А у меня спина болит, ходить больно :(
Output: sadness
The input text states the suffering of a person who is unable to walk as his back hurts. There is an emotion of 'sadness' in this text. So, the input text is labeled correctly as 'sadness'.
New input case for you: Такой грустный пример мы видим в Женеве в лице неплохого священника В . Саккаса , для которого и наш Архиерейский Синод уже недостаточно православен и подчинение ему необязательно .
Output:
|
sadness
| 1
|
NIv2
|
task1662_cedr_ru_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 the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
One example: पहले दो को अविश्वसनीय मानकर बाकी पांच मुखबिरों के आधार पर मुकदमा चलाया गया|
Solution is here: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
Explanation: Hindi sentence is properly converted into English sentence because the input also says that the first two were judged to be untrustworthy, thus the prosecution relied heavily on the testimony of the remaining five approvers. Also, the translated sentence is in a sentence case.
Now, solve this: पूरी तरह से विकसित सूअर का वजन 275 से 375 किलोग्राम के बीच होता है.सूअरी का औसत वजन 200 से 300 किलोग्राम के बीच होता है ।
Solution:
|
A full-grown boar weighs about 275 to 375 kilograms and an average sow weighs from 200 to 300 kilograms .
| 6
|
NIv2
|
task424_hindienglish_corpora_hi_en_translation
|
fs_opt
|
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] |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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 is located or can be found at/in/on the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: coupon<sep>Tail: market
Solution: Yes
Why? This is a good example. The Head can be found at the Tail.
New input: Head: beer<sep>Tail: resturant
Solution:
|
Yes
| 0
|
NIv2
|
task1207_atomic_classification_atlocation
|
fs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (correct), CASE_DIFF (case error), PUNCUATION_DIFF (punctuation error), CASE_AND_PUNCUATION_DIFF (both case and punctuation error), STEM_BASED_DIFF (stem word error), DIGIT_DIFF (digit error), INTRAWORD_PUNC_DIFF (intra-word punctuation error), and UNKNOWN_TYPE_DIFF (an error that does not corrrespond to the previous categories)].
['once', 'again', 'our', 'goal', 'is', 'to', 'synthesize', 'simple', 'organic', 'molecules', 'starting', 'from', 'benzene', 'and', 'this', 'time', 'our', 'goal', 'is', 'to', 'make', 'this', 'molecule', 'over', 'here', 'on', 'the', 'right', 'once', 'again', "we're", 'going', 'to', 'use', 'the', 'concept', 'of', 'retro', 'synthesis', 'so', 'working', 'backwards', 'and', 'thinking', 'about', 'what', 'could', 'be', 'an', 'immediate', 'precursor', 'to', 'this', 'molecule', 'here', 'to', 'do', 'that', "let's", 'analyze', 'the', 'groups', 'that', 'are', 'attached', 'to', 'our', 'ring', 'right', 'here', 'we', 'have', 'an', 'amino', 'group', 'right', 'we', 'know', "that's", 'an', 'ortho', 'para', 'director', 'we', 'know', 'that', 'because', 'of', 'the', 'lone', 'pair', 'of', 'electrons', 'on', 'this', 'nitrogen', 'right', 'next', 'to', 'our']
Output:
|
['CASE_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF']
| 1
|
NIv2
|
task1416_youtube_caption_corrections_incorrect_grammar_classification
|
zs_opt
|
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] |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios. Note that there are distractor sentences in each story that are unrelated to the question and are designed to confuse the reader.
Ex Input:
Emily entered the workshop. Sophia entered the workshop. The eggplant is in the red_pantry. Emily moved the eggplant to the blue_suitcase. Where does Emily think that Sophia searches for the eggplant?
Ex Output:
blue_suitcase
Ex Input:
Oliver entered the office. Owen entered the office. The celery is in the red_box. Owen exited the office. Oliver moved the celery to the green_drawer. Oliver exited the office. Owen entered the office. Where does Oliver think that Owen searches for the celery?
Ex Output:
red_box
Ex Input:
Elizabeth entered the bathroom. Jacob entered the bathroom. The tangerine is in the green_drawer. Jacob exited the bathroom. Phone rang. Elizabeth moved the tangerine to the blue_cupboard. Where was the tangerine at the beginning?
Ex Output:
|
green_drawer
| 1
|
NIv2
|
task152_tomqa_find_location_easy_noise
|
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.
[EX Q]: Mg squad all be safe
[EX A]: Not in Expected Language
[EX Q]: Frame asana எல்லாம் பண்ணா active va இருப்பாங்க.nநீங்க என்ன bro இவ்வளவு லேட் டா வீடியோ போடுறீங்க.
[EX A]: Hope Speech
[EX Q]: நான் subscribe பண்ணிட்டேன் சாய் ராம்
[EX A]:
|
Hope Speech
| 6
|
NIv2
|
task680_hope_edi_tamil_text_classification
|
fs_opt
|
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] |
Given a scientific question, generate a correct answer to it.
One example is below.
Q: Who proposed the theory of evolution by natural selection?
A: darwin
Rationale: This is a direct fact that Charles Darwin proposed the theory of evolution.
Q: What is it called when the chance that a certain event will occur?
A:
|
probability
| 9
|
NIv2
|
task591_sciq_answer_generation
|
fs_opt
|
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] |
Detailed Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset of this corpus is 'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes, 'ADP': Adposition is a cover term for prepositions and postpositions, 'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner, 'AUX': An auxiliary is a function word that accompanies the lexical verb of a verb phrase and expresses grammatical distinctions not carried by the lexical verb, such as person, number, tense, mood, aspect, voice or evidentiality, 'CCONJ': A coordinating conjunction is a word that links words or larger constituents without syntactically subordinating one to the other and expresses a semantic relationship between them, 'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context, 'INTJ': An interjection is a word that is used most often as an exclamation or part of an exclamation, 'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea, 'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction, 'PART': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech, 'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context, 'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object, 'PUNCT': Punctuation marks are non-alphabetical characters and character groups used in many languages to delimit linguistic units in printed text, 'SCONJ': A subordinating conjunction is a conjunction that links constructions by making one of them a constituent of the other. The subordinating conjunction typically marks the incorporated constituent which has the status of a (subordinate) clause, 'SYM': A symbol is a word-like entity that differs from ordinary words by form, function or both, 'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause, 'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Problem:Sentence: Absolute {{ Nightmare }} !
Word: Nightmare
Solution:
|
NOUN
| 8
|
NIv2
|
task583_udeps_eng_coarse_pos_tagging
|
zs_opt
|
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] |
Detailed Instructions: Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur before t2, t1 occurs after t2, t1 doesn't occur after t2, t1 occurs between t2 and t3, t1 doesn't occur between t2 and t3, t1 occured before t2 but after t3, t1 occured after t2 but before t3, t1 didn't occur before t2 but after t3, t1 didn't occur after t2 but before t3'. The output should be either 'True' or 'False'.
Problem:23 Nov 2014 occured before 26 Jul 1987 but after December 18, 1991
Solution:
|
False
| 8
|
NIv2
|
task1507_boolean_temporal_reasoning
|
zs_opt
|
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] |
instruction:
A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence.
question:
Cabinet Cabinet approves reservation in Teachers Cadre Ordinance, 2019
answer:
2019-ലെ അധ്യാപക കേഡര് സംവരണ ഓര്ഡിനന്സിന് മന്ത്രിസഭയുടെ അംഗീകാരം
question:
Your Foundation day and the commencement of the new economic paradigm of India- the Goods and Services Tax coincide on this very day.
answer:
ഇന്നുതന്നെ നിങ്ങളുടെ സ്ഥാപനദിനവും ഇന്നുതന്നെ ഭാരതത്തിന്റെ സാമ്പത്തിക മേഖലയിലെ പുതിയ വഴിത്തിരിവും ആണെന്നത് തികച്ചും ശുഭകരമായ യാദൃച്ഛികതയാണ്. ഇന്നുമുതല്ക്കാണ് ഭാരതത്തില് ജിഎസ്ടി അതായത് ഗുഡ് ആന്റ് സിംപിള് ടാക്സ് ആരംഭിക്കുന്നത്.
question:
This bill seeks to extend the 10 quota to economically weaker sections of society in JK in jobs and educational institutions.
answer:
|
ജമ്മു കാശ്മീരിലെ ജോലികളിലും വിദ്യഭ്യാസസ്ഥാപനങ്ങളിലും സാമ്പത്തികമായി പിന്നോക്കം നില്ക്കുന്ന വിഭാഗങ്ങള്ക്ക് 10% സംവരണം വ്യാപിപ്പിക്കുന്നതാണ് ബില്.
| 9
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NIv2
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task1021_pib_translation_english_malayalam
|
fs_opt
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] |
Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish.
Example Input: Text: 'Oui, j'ai besoin d'un schema'
Example Output: French
Example Input: Text: 'para el día dieciséis de junio .'
Example Output: Spanish
Example Input: Text: 'Commençons par ça oui. Les moules on les garde dans une pièce spéciale, le magasin de stockage de moules, qui leur est entièrement dédiée. C'est qu'on en prend soin, de nos moules, ce sont les éléments les plus précieux et les plus importants de l' entreprise. Avec les clients et le personnel, bien sûr'
Example Output:
|
French
| 3
|
NIv2
|
task896_miam_language_classification
|
fs_opt
|
[
0.32021674513816833,
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